Abstract: A water treatment system 10A for treating waste water 31 discharged from a plant facility includes: a water treatment facility 50 in which the waste water 31 is treated; a first operation data acquisition unit 41 which acquires plant operation information from the plant facility; a water quality estimation unit 42 which estimates the water quality of the waste water 31 on the basis of the plant operation information 40 that has been acquired by the first operation data acquisition unit 41; and a control unit 44 which performs feed forward control 45 over an operation condition for the water treatment facility 50 on the basis of estimated water quality 43 that has been estimated by the water quality estimation unit 42.
0001]The present invention is a water treatment system, a method for controlling the power plant and water treatment systems.
Background technique
[0002]
For example exhaust gas unit for processing the exhaust gas discharged from a boiler for thermal power plants and chemical plants, as a general example of a system configuration, in the exhaust gas line for example denitrator, air preheater, air heater, dust collector, wet desulfurizer and chimney are arranged in this order. Here, wet desulfurization system is to absorb and remove the absorbing solution, such as absorption liquid slurry sulfur oxides in the exhaust gas (SOx) comprises, for example lime. In the the absorption liquid desulfurization effluent separation of the resulting gypsum from the slurry discharged from the desulfurization apparatus, for example, high concentrations of ionic components such as calcium (Ca), gypsum scale precipitation easily drained like.
[0003]
Design and operating conditions of the water treatment equipment such desulfurization effluent water treatment, feed water conditions envisaged (eg raw water quality, flow rate, etc.) based on the processing conditions such as drug injection amount in pre-processing schedule ,drive. For example, in the thermal power plant coal combustion, its fuel coal type, to change the composition of the desulfurization effluent by changes such as power generation load, for example, when a severe drainage composition than planned conditions, given as a water treatment facility there is a case in which performance can not be obtained.
[0004]
Conventionally, driving a water treatment facility, at the time of the measurement and detects that a predetermined performance can no longer be obtained, performs its cause identification, as given performance is obtained, the operating conditions of the water treatment facilities to perform the review had been corresponding. However, cause investigation during performance degradation, such as time consuming and cost review of operating conditions, can not be obtained reliability of wastewater treatment, there is a problem that.
[0005]
There also operated water treatment facilities, when detecting the abnormality by measuring the components of such desulfurization effluent, performs feedback control, also measures to change the operating conditions such as a transition from an abnormal state to a stable state . However, the measures for performing feedback control, since the already abnormality scale formation such as occurs, in order to return the water treatment facilities in a stable state, cost such as cleaning and dosing resulting in very applied, there is a problem that .
[0006]
Therefore, conventionally, the raw water quality to be supplied to the water treatment facility to measure, the drug infusion of such coagulant based on the measurement result to control feed forward has been proposed (Patent Document 1).
CITATION
Patent Literature
[0007]
Patent Document 1: JP 2011-005463 JP
Summary of the Invention
Problems that the Invention is to Solve
[0008]
However, the proposal of Patent Document 1, for measuring the quality of the raw water directly, it is difficult to control corresponding to abrupt quality fluctuations, there is a problem that.
Furthermore, as in the desulfurization effluent from power plants, for example by changing the fuel coal type and power load and the like, the composition of the desulfurization effluent is varied greatly, when it becomes a more stringent wastewater quality than planning conditions, for example, scaling or the like occurs on the membrane surface in the reverse osmosis membrane device, such as desalination apparatus, a predetermined performance can not be obtained as a water treatment facility, there is a problem that.
[0009]
Therefore, when the operating conditions of the boiler varies greatly even the appearance of a stable operation possible water treatment system without degrading the performance of the water treatment facilities is desired.
[0010]
In view of the above problems, it is possible to cope with sudden quality fluctuations of the raw water, in the case where the drive conditions of the boiler varies also, possible stable operation without reducing the performance of the water treatment facilities a water treatment system, and to provide a control method of the power plant and water treatment systems.
Means for Solving the Problems
[0011]
Water treatment system according to at least one embodiment of the present invention, obtains a water treatment system for processing waste water discharged from the plant facilities, and water treatment equipment for processing the waste water, a plant operation information from the plant equipment to the first operation data acquisition unit, based on the obtained the plant operation information in the first operation data acquisition unit, and water quality prediction unit that predicts the quality of the wastewater, predicted predicted by the quality predictor based on water quality, and is configured to include a control unit for controlling a feed-forward operation conditions of the water treatment facility.
[0012]
In some embodiments, in the above configuration, comprising a second operation data acquisition unit that acquires water treatment operation information of the water treatment facility, the quality prediction unit, the plant operation information and the water treatment operation information based on, and is configured to predict the quality of the waste water.
[0013]
In some embodiments, in the above configuration, comprising a third operation data acquisition unit for acquiring quality information between the water treatment facility and the plant equipment, the quality prediction unit, the plant operation information and the It is configured to predict the quality of the waste water based on the acquired quality information in the third operation data acquisition unit.
[0014]
In some embodiments, in the configuration described above, the disposed between the plant equipment and the water treatment facility, and is configured with the drainage so as to have a predetermined time stored adjustment tank.
[0015]
In some embodiments, in the configuration described above, the disposed between the plant equipment and the water treatment facility, the waste water comprises a predetermined time stored equalizing tank,
the third operation data acquisition unit, the It is configured to acquire the quality information of the waste water in the equalizing tank.
[0016]
In some embodiments, in the above configuration, the water treatment facility has a desalination device for separating into a concentrated water and recycled water from the waste water, the quality prediction unit, the data and the fuel of the plant equipment based on at least one of operational data of plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- predict ionic nature, Ca of the inflow water predicted 2+ , SO 4 2 of calculated gypsum supersaturation of the inflow water from the ion nature, the more the gypsum supersaturation of calculating a first water recovery ratio desalination apparatus, wherein the control unit includes a calculated first water recovery become such, the being configured to control at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus.
[0017]
In some embodiments, in the above configuration, the water treatment facility has a desalination device for separating into a concentrated water and recycled water from the waste water, the quality prediction unit, the data and the fuel of the plant equipment based on at least one of operational data of plant equipment, the predict the ion concentration of the inflow water flowing into the desalter, the ion concentration of the influent water was predicted total soluble evaporation residue of the inflow water and calculate the concentration, the more the concentration of the total soluble evaporation residue was calculated second water recovery ratio desalination device described above, such that the calculated second water recovery, the desalter It is configured to control at least one of the supply pressure and supply flow rate of the influent water to be supplied to.
[0018]
In some embodiments, in the above configuration, the water treatment facility has a desalination device for separating into a concentrated water and recycled water from the waste water, the quality prediction unit, the data and the fuel of the plant equipment based on at least one of operational data of plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- predict ionic nature, Ca of the inflow water predicted 2+ , SO 4 2 of calculated gypsum supersaturation of the inflow water from the ion characteristics, calculates a first water recovery rate of the more the gypsum supersaturation desalter, the operation of the data and the plant equipment of fuel in the plant equipment based on at least one of data, said predicting the ion concentration of the inflow water flowing into the demineralizer, the concentration of total soluble evaporation residue of the inflow water from the ion concentration of the influent water predicted Out, calculating a second water recovery rate of the desalter than the concentration of the total soluble evaporation residue, compares the value of the first water recovery rate calculated, the value of the second water recovery selects a value lower water recovery rate, wherein the control unit, so that the selected water recovery, to control at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus It is configured.
[0019]
In some embodiments, in the above configuration, the water treatment facility has a desalination device for separating into a concentrated water and recycled water from the waste water, the quality prediction unit, the data and the fuel of the plant equipment based on at least one of operational data of plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- predict ionic nature, Ca of the inflow water predicted 2+ , SO 4 2 of calculated gypsum supersaturation of the inflow water from the ion characteristics, to calculate the amount of scale inhibitor added to the influent water from the predicted gypsum supersaturation, the control unit, the addition of the scale inhibitor such that the amount of calculation of the amount, and is configured to control the amount of the scale inhibitor.
[0020]
In some embodiments, in the above configuration, the water treatment facility, desalted to separate the silica treatment unit for removing silica component in the waste water, treated water to remove the silica component in the reclaimed water and concentrated water and a device, the quality prediction unit, based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, and predicts a silica component concentration in the waste water flowing into the silica treatment unit the control unit, the water quality in accordance with the silica component concentration predicted by the prediction unit is configured to control the addition amount of silica treating agent supplied to the silica processing unit.
[0021]
In some embodiments, in the above configuration, the water treatment facility, and the oxidation processing unit for oxidizing the metal component in the waste water, separated into concentrated water and recycled water from the process water treated by the oxidation treatment unit and a desalination unit, the quality prediction unit, based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, metal components in the waste water flowing into the oxidation treatment unit of predict the concentration, the control unit, depending on the metal component concentration expected, and is configured to control the supply amount of the oxidizing agent supplied to the oxidation treatment unit.
[0022]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the influent water flowing into the demineralizer Ca of 2+ , SO 4 2- predict ionic nature, Ca of the inflow water predicted 2+ , SO 4 2- calculated gypsum supersaturation of the inflow water from the ion nature, from the gypsum supersaturation calculating a first water recovery rate of the desalination apparatus, the control unit, so that the calculated first water recovery, at least the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus configured so as to control one It is.
[0023]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the inflow flowing into the demineralizer predicting the ion concentration in the water, to predict the concentration of total soluble evaporation residue of the inflow water from the ion concentration of the influent water was predicted, a second said than the concentration of the total soluble evaporation residue demineralizer calculating a water recovery rate, wherein the control unit, so that the calculated second water recovery, is configured to control at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus ing.
[0024]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the influent water flowing into the demineralizer Ca of 2+ , SO 4 2- predict ionic nature, Ca of the inflow water predicted 2+ , SO 4 2- calculated gypsum supersaturation of the inflow water from the ion nature, from the gypsum supersaturation wherein calculates a first water recovery ratio desalination apparatus, the based on at least one of plant equipment fuel data and operating data of the plant equipment, wherein in the influent water ions flowing into the demineralizer Degrees predict predicts the concentration of total soluble evaporation residue of the inflow water from the ion concentration of the influent water was predicted, the second water recovery rate of the than the concentration of the total soluble evaporation residue demineralizer It calculates the value of the first water recovery rate calculated is compared with the value of the second water recovery, to select a value lower water recovery rate, wherein the control unit includes a selected water recovery become such, the being configured to control at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus.
[0025]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the influent water flowing into the demineralizer Ca of 2+ , SO 4 2- predict ionic nature, Ca of the inflow water predicted 2+ , SO 4 2- calculated gypsum supersaturation of the inflow water from the ion nature, from the gypsum supersaturation calculating the amount of scale inhibitor added to the influent water, the control unit is such that the amount of calculation of the addition amount of the scale inhibitor, so as to control the amount of the scale inhibitor It has been constructed .
[0026]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the influent water flowing into the demineralizer Ca of 2+ , HCO 3 - to predict the ionic nature and pH of, Ca of the inflow water predicted 2+ , HCO 3 - calculating the reproduction frequency of the ions properties and ion-exchange resins for circulating the flowing water from pH and, wherein the control unit, so that the regeneration frequency of calculating the reproduction frequency of the ion-exchange resin, and is configured to control the playback frequency of the ion exchange resin.
[0027]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the influent water flowing into the demineralizer of Mg 2+ predict ions properties of predicted Mg 2+ to calculate the reproduction frequency of the ion exchange resin for circulating said incoming water from the ion property of the control unit calculates the reproduction frequency of the ion-exchange resin as a reproduction frequency, and is configured to control the playback frequency of the ion exchange resin.
[0028]
In some embodiments, in the above configuration, the water treatment facility, an ion exchange unit for adsorption treatment the ions in the waste water, a degassing unit to separate gas in the waste water, a recycled water from the waste water concentrated and a desalination device for separating the water, the water quality prediction unit, said based on at least one of plant equipment fuel data and operating data of the plant equipment, the influent water flowing into the demineralizer of HCO 3 - to predict the ion properties, HCO predicted 3 2 calculates the operating pH of the degassing portion for circulating said incoming water from the concentration, the control unit was calculated operating pH of the degassing unit as the pH, and is configured to control the pH of the degassing unit.
[0029]
In some embodiments, in the above configuration, the water treatment facility further comprises a silica processing unit for removing silica component in the waste water, the quality prediction unit, the data and the plant of the fuel of the plant equipment based on at least one of equipment operation data to predict the silica component concentration in the waste water flowing into the silica treatment unit, wherein the control unit, depending on the silica component concentration predicted by the quality predictor, the silica It is configured to control the addition amount of the silica treatment agent supplied to the processing unit.
[0030]
In some embodiments, in the above configuration, the water treatment facility further comprises a solid-liquid separation unit for suspension separated in the waste water, the quality prediction unit, the data and the fuel of the plant equipment based on at least one of operational data of plant equipment, wherein the flow into the solid-liquid separation unit predicts the density of the suspension in the waste water, wherein, in response to suspension concentrations predicted, the It is configured to control the supply amount of supplying coagulant to the solid-liquid separation unit.
[0031]
In some embodiments, in the above structure, a second operation data acquisition unit for acquiring the wastewater treatment water treatment operation information equipment after feedforward control, the control unit, the second operating on the basis of the obtained water treatment operation information by the data acquisition unit is configured to feedback control of the operating conditions of the water treatment facility.
[0032]
In some embodiments, in the above configuration, it is configured to have an evaporator for evaporating the concentrated water from the desalter.
[0033]
In some embodiments, in the above configuration, the water treatment facility is a biological treatment tank, the water quality prediction unit, based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment predicts a nitrogen concentration and selenium concentration in the waste water flowing into the biological treatment tank, wherein, depending on the nitrogen concentration or selenium levels predicted air supply amount to be supplied to the biological treatment tank, the drug added the amount, and is configured to control at least one biological amount and sludge withdrawal amount.
[0034]
Power plant according to at least one embodiment of the present invention, organic and boiler, the exhaust gas treatment apparatus for treating an exhaust gas of the boiler, a power generation facility with a water treatment system for processing waste water discharged from the power generation equipment and, the water treatment system, a water treatment facility for processing the waste water, the operation data acquisition unit that acquires operation information from the generation facility, based on the operation data acquired by the operation data acquisition unit, the drainage and water quality prediction unit for predicting the water quality, on the basis of the predicted quality predicted by the water quality prediction unit, the operating conditions of the water treatment facility is configured to include a control unit that feed-forward control, the.
[0035]
The method for water processing system according to at least one embodiment of the present invention is a control method of the water treatment system including a water treatment facility for processing waste water discharged from the plant equipment, plant operation information from the plant equipment a first operation data obtaining step of obtaining, on the basis of the first operation data obtaining step information acquired in the quality prediction step of predicting the quality of the wastewater, the predicted quality predicted by the quality prediction step based on, and is configured to have a control step of feedforward control operating conditions of the water treatment facility.
[0036]
In some embodiments, in the above structure, the second operation data obtaining step of obtaining the water treatment operation information from the water treatment facility, on the basis of the plant operation information and water treatment operation information, the prediction of the drainage It is configured to predict water quality.
[0037]
In some embodiments, in the above structure, a second operation data obtaining step of obtaining the wastewater treatment water treatment operation information equipment after feedforward control, the control step, the second operating on the basis of the obtained water treatment operation information by the data acquisition process, and is configured to feedback control of the operating conditions of the water treatment facility.
Effect of the invention
[0038]
According to the present invention, on the basis of the plant operation information from the plant facilities, to predict water quality prediction unit the quality of the waste water as the prediction quality. From the predicted water quality, by feed-forward control by the control unit of the operating conditions of the water treatment facilities, it can correspond to abrupt quality fluctuations in waste water.
BRIEF DESCRIPTION OF THE DRAWINGS
[0039]
[1] Figure 1 is a block diagram showing a schematic configuration of a water treatment system according to the first embodiment.
FIG. 2 is a block diagram showing the schematic configuration of another water treatment system according to the first embodiment.
FIG. 3 is a block diagram showing the schematic configuration of another water treatment system according to the first embodiment.
[4] FIG. 4 is a block diagram showing the schematic configuration of another water treatment system according to the first embodiment.
FIG. 5 is a block diagram showing the schematic configuration of another water treatment system according to the first embodiment.
FIG. 6 is a block diagram showing the schematic configuration of another water treatment system according to the first embodiment.
[7] FIG. 7 is a schematic diagram of a power plant of the water treatment system according to the first embodiment.
[8] FIG. 8 is a schematic diagram of a desulfurization apparatus according to the first embodiment.
[9] FIG. 9 is a schematic diagram of a water treatment facility of the water treatment system according to the first embodiment.
[10] FIG 10 is a flowchart showing an example of the control operation of the water treatment system.
[11] FIG. 11 is another flowchart showing an example of the control operation of the water treatment system.
[12] FIG 12 is a schematic diagram showing a water treatment system according to the second embodiment.
[13] FIG 13 is a schematic view showing another water treatment system according to the second embodiment.
[14] FIG 14 is a schematic diagram showing a water treatment system according to the third embodiment.
[15] FIG 15 is a schematic diagram showing a water treatment system according to the fourth embodiment.
[16] FIG 16 is a schematic view showing another water treatment system according to the fourth embodiment.
[17] FIG 17 is a schematic diagram showing a water treatment system according to Example 5.
[18] FIG 18 is a schematic view showing another water treatment system according to Example 5.
[19] FIG 19 is a schematic diagram showing a water treatment system according to Example 6.
[20] FIG 20 is a schematic diagram showing a water treatment system according to Example 7.
[21] FIG. 21 is a relationship diagram of the solubility of the pH value and metal ions of the desulfurization waste water.
[22] FIG 22 is a graph showing the relationship between pH values and the silica concentration of the desulfurization effluent.
DESCRIPTION OF THE INVENTION
[0040]
With reference to the accompanying drawings, illustrating preferred embodiments of the present invention in detail. It is not intended the invention be limited by this example, also, if the embodiment there are a plurality, i.e., an constitute a combination of each embodiment.
Example 1
[0041]
Figure 1 is a block diagram showing a schematic configuration of a water treatment system according to the first embodiment. As shown in FIG. 1, the water treatment system 10A includes a power plant 20 is a plant facility, the first operation data acquisition unit 41, a quality prediction unit 42, a control unit 44, a water treatment plant 50, the a. A power generation facility 20, the first operation data acquisition unit 41, a quality prediction unit 42, the control unit 44 and the water treatment facility 50 communicates via a communication line (not shown). Here, the communication line, can be applied to various circuits for communicating data, such as the Internet network, it is preferable that the public line such as a telephone network. In addition, the communication line may be a dedicated line. Here, as the plant facilities in this embodiment is described as an example power plants having a boiler, the present invention is not limited thereto, incinerators, blast furnace, a chemical plant (e.g., sulfuric acid plant, etc.), It can be exemplified each facility kiln, processing the exhaust gas discharged from each facility in desulfurization.
[0042]
Power generation facility 20 includes a boiler 11, the exhaust gas treatment equipment 12, a first detection unit 13A. Power generation facility 20 is a power plant for converting thermal energy which is generated by the fuel is burned by supplying to the boiler 11 to the power. Exhaust gas treatment system 12 is for the exhaust gas from the boiler 11 to the exhaust gas treatment. First detection unit 13A, a detection device or the like attached to the various mechanisms of the power generation facility 20, for detecting the operation state of the power generation equipment 20. It will be described later configuration of the power generation facility 20.
[0043]
Water treatment facility 50, the drainage 31, for example no wastewater treatment discharged from the power generation facility 20, a discharge regulation value until the water treatment facilities following to the outside of the system. It will be described later configuration of the water treatment facility 50.
[0044]
The first operation data acquisition unit 41 acquires a first detection portion power generation operation information 40, such data and database from 13A for detecting operating conditions of the boiler 11 and the exhaust gas treatment system 12 of the power generation equipment 20, the acquired and it outputs the result to the water quality prediction unit 42. The operation of obtaining the first operation data acquisition unit 41 will be described later.
[0045]
Water prediction unit 42 includes an arithmetic unit such as a CPU, ROM, a calculation device having a storage unit such as RAM, acquired power generation operation information in the first operation data acquisition unit 41 received via the communication device (a first the first detection section analyzes the various data) 40, such data and database detector 13A, and analyzes the quality of the waste water 31 flowing into the water treatment facility 50 for predicting a prediction quality 43 drainage. Specifically, the water quality prediction unit 42 based on the detected information by the first operation data acquisition unit 41 (various data such as the first detector data and database), water treatment equipment for water-treatment facility 50 to predict the water quality at the time of entering into as a predicted water quality 43. Moreover, water quality prediction unit 42 determines the operation state of the water treatment system 50 based on the state of the predictive quality of the waste water 31. The prediction operation of the quality predictor 42 will be described later.
[0046]
Control unit 44, the operating section such as a CPU, ROM, a calculation device having a storage unit such as RAM, based on the predicted quality of the water quality prediction unit 42, the operation of the water treatment facility 50 feedforward (FF) control 45. The control unit 44 also controls each section of the power plant 20 and the water treatment plant 50. Incidentally, the water treatment system 10A includes a controller that controls each unit of the first detector 13A power generation facility 20 and a water treatment facility 50 outside may be provided separately from the control unit 44.
[0047]
Water treatment system 10A of this embodiment, first obtains a water treatment facility 50 for processing the waste water 31 discharged from the power generation equipment 20, the power generation operation information from the power plant 20 (e.g., first detector data, database) and operation data acquisition unit 41 of the 1, predicted based on the power generation operation information 40 acquired in the first operation data acquisition unit 40, a quality prediction unit 42 for predicting the quality of waste water 31, which is predicted by the quality prediction unit 42 based on water quality 43, a control unit 45 for feedforward control 44 operating conditions of the water treatment facility 50, so comprises, based on information from the operation information 40 of the power generation facility 20, the water quality prediction unit 42, high-precision it is possible to obtain a predicted water 43 can be a feed-forward control corresponding to abrupt quality fluctuations of the drain 31 by the control unit 44.
[0048]
As a modification other than the water treatment system 10A of Figure 1, it may be exemplified water treatment system of FIGS. 2-6. 2 to 6 is a block diagram showing the schematic configuration of another water treatment system according to the first embodiment.
[0049]
As shown in the water treatment system 10B of Figure 2, the second detecting section 13B is provided in the water treatment system 50, the second operation data acquisition unit that acquires water treatment operation information 70 from the second detection section 13B 71 can also be provided. Water treatment operation information 70 acquired in the second operation data acquisition unit 71 outputs to the water quality prediction unit 42. Then, the water quality prediction unit 42, on the basis of these power generation operation information 40 and the water treatment operation information 70 to predict the quality of the waste water 31 as the predicted water 43. Control unit 44, based on the predicted quality 43 from water prediction unit 42, a feedforward (FF) control 45 that reflects the operating conditions of the water treatment facility 50.
[0050]
It Accordingly, the basis of the driving information and operation information of the combined operation information and water treatment equipment 50 of the power generation facility 20, it is possible to obtain a highly accurate predicted water 43, corresponding to abrupt quality fluctuations of the drain 31 can.
[0051]
Further, as shown in the water treatment system 10C in FIG. 3, like the water treatment system 10B of Figure 2, the second operation data acquisition unit 71 that acquires water treatment operation information 70 from the water treatment plant 50 it is provided, the water treatment operation information 70 acquired by the second operation data acquisition unit 71 is output to the quality prediction unit 42. Then, the water quality prediction unit 42, based on both the information of the power generation operation information 40 and the water treatment operation information 70, the water quality of effluent 31 predicts a predicted water 43, based on this prediction water 43, at a water treatment plant 50 the FF control 45 in consideration of the operating conditions.
Furthermore, the water treatment system 10C is a state of the apparatus of the FF control 45 water treatment facility 50 after based on the predicted quality 43 obtained is detected by the second detection section 13B, water treatment after FF control 45 acquires water treatment operation information 70 in the equipment 50 in the second operation data acquisition unit 71. Water treatment operation information 70 of the second operation data acquisition unit 71 outputs to the control unit 44. Then, the control unit 44, FF control of the water treatment facility 50 which conducted in accordance with the water quality prediction 43 determines whether there was appropriate, the feedback (FB) control 46 The results of this determination.
[0052]
Thus, it is possible to determine the appropriateness of the operation of the water treatment system 50 after the feed forward (FF) control 45, if not appropriate, be executed operation has been corrected by a feedback (FB) control possible and it becomes possible more precise response against rapid quality variations in the waste water 31.
[0053]
It is also possible to provide £ 32 as shown in the water treatment system 10D of Figure 4, for storing waste water temporarily large drainage 31 flows into the water treatment facility 50. £ drainage 31A discharged after temporarily stored in the £ 32 is the water treatment with the water treatment system 50.
In this case, when predicting the properties of pounds drainage 31A, as described above, in addition to the power generation operation information 40 of the power generation facility 20, it is necessary to considering the quality information that changes during the storage in pounds 32. Therefore, when installed pounds 32 for storing the waste water 31 in the large capacity, obtains information from the £ 32 in the first operation data acquisition unit 41, and outputs it to the water quality prediction unit 42. The water quality prediction unit 42, based on information from the power generation equipment 20 and £ 32, to predict the quality of pounds drainage 31A which flows into the water treatment system 50 as the predicted water 43. Here, as the pounds 32, for example by evaporation pounds, can be mentioned ash pounds like, as long as storing temporarily storing the waste water 31, the present invention is not limited thereto.
[0054]
Here, the waste water 31 flowing into pounds 32, all effluent from the desulfurization apparatus 27 not only the plant equipment and other plant equipment such as a power plant 20 flows. The waste water flows, for example, there regeneration wastewater from the condensate demineralizer for reproducing blowdown water or ion-exchange resin of the ion exchange resin of the cooling tower, in case of installing the £ 32, the feedforward control , it is important to understand the nature and flow rate of the waste water 31.
[0055]
This makes it possible to predict the quality of pounds drainage 31A which flows into the water treatment facility 50 at the time of storing the waste water 31 at temporarily £ 32 discharged from the power generation equipment 20, the water quality fluctuations in pounds drainage 31A it is possible to perform a precise water treatment was against.
[0056]
As shown in the water treatment system 10E of Figure 5, the pipe L introducing effluent 31 from the power plant 20 to the water treatment facility 50 10 and, the pipe L 10 third detection for detecting the water quality of effluent 31 passing through the and part 13C, the water quality information from the third detector @ 13 C (drainage properties, drainage rate, and changes, etc.) and the third operation data acquisition unit 47 for acquiring 48A, can be provided.
[0057]
Water quality information 48A of the drain 31 to be discharged from the power generation equipment 20 detected by the third detection section 13C, and sends the detection to the third operation data acquisition unit 47. Then, the data acquired in the third operation data acquisition unit 47 is sent to the water quality prediction unit 42, the water quality prediction unit 42, along with information from the first operation data acquisition unit 41, is introduced into the water treatment facility 50 effluent 31 to predict the water quality as the predicted water quality 43.
Thus, the water quality prediction unit 42 based on the quality information of the waste water 31 to be introduced in addition to the power generation operation information 40 in the water treatment facility 50 of the power generation facility 20, the prediction quality 43 of waste water 31 to be introduced into the water treatment facility 50 in anticipation of, a more accurate feedforward (FF) control 45.
[0058]
As a result, on the basis of the water quality information and operation information of the combined wastewater 31 to be introduced into the power generation operation information 40 and the water treatment plant 50 of the power generation facility 20, it is possible to obtain high prediction quality 43 accurate, the drainage 31 it is possible to cope with rapid water quality fluctuations.
[0059]
As shown in the water treatment system 10F of Fig. 6, between the power generation equipment 20 and a water treatment plant 50, the adjustment tank 49 may be provided as a facility for temporarily storing the desulfurization effluent 31B. Water quality information 48B from the adjusting tank 49 detected by the third detection section 13C, the feed to the third operation data acquisition unit 47, the water quality prediction unit 42 predicts the quality of the waste water 31, discharged from the control vessel 49 to understand the water quality to be.
Then, the feed water quality conditions of the waste water 31 to be discharged from the drain 31 and the adjustment tank 49 flows into the adjustment tank 49 to the third operation data acquisition unit 47 as the detection items, the power generation operation obtained in the first operation data acquisition unit 41 It obtains a predicted water 43 water quality prediction unit 42 together with information 40, the precise feedforward (FF) control 45 than in consideration of the quality of waste water 31 discharged from the adjustment tank 49.
[0060]
Thus, based on the quality information and the operation information of the combined power generation operation information 40 and the adjustment tank 49 of the power generation facility 20, it is possible to obtain a highly accurate predicted water 43, corresponding to abrupt quality fluctuations of the drain 31 be able to.
[0061]
Next, with reference to FIG. 7, a description will be given of an example of the power generation facility 20. Figure 7 is a schematic diagram of a power plant of the water treatment system according to the first embodiment. In FIG. 7, not shown in the first detection unit 13A. For the detection items of the first detection unit 13A, separately described.
[0062]
As shown in FIG. 7, the power generation facility 20 includes a boiler 11 for burning the fuel 21, exhaust gas G discharged from the boiler 11 0 and a flue gas treatment equipment 12 for processing. Boiler 11, the fuel 21 or the like is burned to generate a heated gas. Heated gas in the boiler 11 is a mechanism for converting heat energy into electric power, heat is absorbed. Gas heat is absorbed, the exhaust gas G 0 is discharged to the exhaust gas treatment system 12 as.
[0063]
Exhaust gas treatment equipment 12, in the process of exhaust gas discharged from the boiler 11 is discharged from the chimney 38, the nitrogen oxides contained in the exhaust gas (NOx), removed dust, and sulfur oxides (SOx). Exhaust gas treatment system 12 includes, for example, a denitration unit 23, an air heater 24, the heat exchanger and (heat recovery unit) 25A, dust collector (for example, an electric precipitator, bag filter, etc.) and 26, the ventilators 37, a desulfurizer 27 , heat exchanger and (reheater) 25B, a circulation pump 39, the circulation pipe L 101 , L 102 has a, a chimney 38. Incidentally, exhaust gas treatment system 12 shown in FIG. 7 is an example, the present invention is not limited thereto, it may be appropriately increased or decreased the equipment required for exhaust gas treatment. Here, in FIG. 7, reference numeral L 1 ~ L 9 is exhaust gas line for supplying exhaust gas. Note that device configuration of the flue gas treatment facility 12 in this embodiment is an exemplification, and the present invention is not limited to this, or to delete the configuration device optionally further optionally further exhaust gas treatment apparatus installed it may be or.
[0064]
Exhaust gas G discharged from the boiler 11 0 , the catalyst is introduced into the denitrification device 23 is filled. In the denitration apparatus 23, the injected for example, ammonia gas (NH as the reducing agent 3 by) or the like, the exhaust gas G 0 nitrogen oxides contained in are harmless is reduced to water and nitrogen.
[0065]
Exhaust gas G discharged from the denitration apparatus 23 1 is via the air heater (AH) 24, is generally cooled to a temperature of 130 ℃ ~ 150 ℃.
[0066]
Exhaust gas G passed through the air heater 24 2 is introduced into the heat exchanger 25A of a gas-gas heater becomes heat recovery unit, by exchanging heat with the heat medium flowing through the inserted fin tube inside (e.g. hot water, etc.), heat It is recovered. Exhaust gas G passed through the heat exchanger 25A to be heat recovery unit 3 temperature of the dust collecting capacity in general be 85 ~ 110 ° C. For example the filtration apparatus 26 is improved.
[0067]
Exhaust gas G passed through the heat exchanger 25A 3 is dust introduced into the filtration apparatus 26 is removed.
[0068]
Exhaust gas G passed through the filtration apparatus 26 4 is boosted by the ventilator 37 driven by an electric motor (not shown). Incidentally, the ventilator 37 is, purified gas G becomes Wake of Shi may not provided gas-gas heater reheater 25B 7 exhaust gas line L flows 9 sometimes positioned at a location.
[0069]
Exhaust gas G boosted by ventilators 37 5 is introduced into the desulfurization apparatus 27. In the desulfurization apparatus 27, for example by absorbing solution slurry limestone elaborate dissolved slurried alkali or weak alkaline, exhaust gas G 5 sulfur oxides in (SOx) are absorbed and removed. Desulfurizer 27, when limestone was used absorbing solution slurry elaborate dissolved slurried, gypsum is produced as a byproduct. Then, the exhaust gas G passed through the desulfurizer 27 6 temperature drops to typically about 50 ° C..
[0070]
Exhaust gas G passed through the desulfurizer 27 6 is introduced into the heat exchanger 25B of the gas-gas heater becomes reheater. Heat exchanger 25B as a reheater is a heating medium 25C pair of heat medium circulation pipe L by the heat medium circulation pump 39 between the heat exchanger 25A to be above the heat recovery unit 101 , L 102 and traffic to in the process of circulating Te, the exhaust gas G by recovery heat recovered by the heat exchanger 25A 6 for heating. Outlet exhaust gas G here about 50 ° C. desulfurizer 27 6 temperature is re-heated to about 85 ~ 110 ° C. in the heat exchanger 25B with tobacco smoke countermeasure is performed, released into the atmosphere through a stack 38.
[0071]
In the present embodiment uses the coal is a solid fuel as the fuel, lignite other than coal, biomass, coke, municipal waste, it is also possible to use solid fuel such as waste solid fuel. It is also possible to use a liquid fuel such as heavy oil.
[0072]
Figure 8 is a schematic diagram of a desulfurization apparatus according to the first embodiment.
Desulfurizer 27, the absorption tower 27a contacting the absorption liquid slurry and the gas-liquid and gas, the absorption liquid circulation line L to circulate the absorption liquid slurry 28 11 and a nozzle 63 for jetting liquid absorbent slurry 28 circulates, the a. Here, for example, limestone slurry as the absorbing solution (an aqueous solution obtained by dissolving limestone powder in water) 60 is a supply line L to the absorber 27a 18 supplied by and supplied to the liquid reservoir of absorption tower 27a bottom portion. Limestone slurry 60, but are used those pumping a liquid that accumulated in the bottom of the absorption tower 27a, the limestone slurry 60 to be the pumped, with the operation of the desulfurization apparatus 27, the gypsum as will be described later (CaSO 4 · 2H 2 O) are mixed. Hereinafter, the limestone-gypsum slurry for absorbing the sulfur dioxide (limestone slurry gypsum is mixed), called the absorption liquid slurry 28.
[0073]
Absorbing liquid slurry 28 supplied to the absorption tower 27a, the absorption liquid circulation line L 11 through sent to a plurality of nozzles 63 of the absorption tower 27a, ejected upward as the liquid column towards the top side from the nozzle 63 It is. Absorption liquid circulation line L 11 , the liquid feed pump 65 is provided by driving the liquid supply pump 65, the absorption liquid circulation line L 11 and sends the absorbing solution slurry 28 from the nozzle 63. In the space in the bottom of the absorption tower 27a, the exhaust gas line L 5 than is introduced into absorption tower 27a, then it rises and comes exhaust gas G 5 are, to gas-liquid contact with the absorbing solution slurry 28 ejected from the nozzle 63. By being the gas-liquid contact, the exhaust gas G 5 sulfur oxides in and mercuric chloride is absorbed by the limestone in the absorbing liquid slurry 28, boiler exhaust gas G 5 separated from and removed. Exhaust gas G is cleaned by the absorbing solution slurry 28 6 is discharged from the top portion of the absorption tower 27a as a purge gas, it is through the heat exchanger 25B emitted from the stack 38 to the outside.
[0074]
In the interior of the absorption column 27a, the exhaust gas G 5 sulfur dioxide SO in 2 produces a reaction represented by the limestone slurry and the following formula (1).
SO 2 Tasu CaCO 3→ CaSO 3 Tasu CO 2 · · · (1)
[0075]
さらに、排ガスG5中のSOxを吸収した石灰石スラリーは、吸収液スラリー28中の空気又は別途供給される空気(図示せず)により酸化処理され、この空気と下記式(2)で表される反応を生じる。
CaSO3+1/2O2+2H2O→CaSO4・2H2O・・・(2)
このようにして、排ガスG5中のSOxは、吸収塔27aにおいて石膏(CaSO4・2H2O)の形で捕獲される。
[0076]
Absorbing solution slurry 28 used for desulfurization in the desulfurization apparatus 27, the absorption liquid circulation line L of the absorption tower 27a 11 by circulating while being recycled, the absorption liquid circulation line L 11 absorption liquid discharge line L is connected to 12 the through, a part thereof is discharged to the outside, it is sent separately to the gypsum separator 29, where it is dehydrated. The gypsum separator 29 solid-liquid separated separated water 29a at, for example mercury, arsenic, toxic and heavy metals such as selenium, for example Fe 2+ , Mn 2+ , etc. of the metal, e.g. Cl - , Br - , I - , F - , such as a halogen ion, sulfate ion (SO 4 2- ), Ca 2+ , Mg 2+ , SiO 2 , N min (NH 4 + , NO 3 - , NO 2 - ) are included. It should be noted, will be described in detail later desulfurization drainage properties.
[0077]
Gypsum separator 29 separates the gypsum 30 and the liquid fraction of the separated water (filtrate) 29a which is solid in the absorbing solution slurry 28. As the gypsum separator 29, for example, a belt filter, a centrifuge, decanter centrifuge settler, hydrocyclone, or the like is used. Incidentally, it may be a combination of these at least two. Therefore, the absorbing liquid slurry 28 discharged part from the absorption tower 27a of the desulfurization apparatus 27, a plaster 30 solid by the gypsum separator 29 is separated into separated water 29a is dehydrated filtrate. Gypsum 30 and separated water 29a of the separated solids, the solids discharge line L 14 and the liquid component discharge line L 15 is discharged out of the system through the.
[0078]
Liquid fraction discharge line L 15 separated water 29a discharged, the stored primary to separated water collection tank 29 b, the supply line L 16 is supplied to the water treatment facility 50 as desulfurization effluent 31B through, and subsequently water treatment.
A part of the separated water 29a, the recovery line L 17 in the bottom of the absorption column 27a via the returned as recovered water 29c, are utilized as part of the makeup water. Incidentally, without installing a separate water reservoir tank 29 b, it may be directly supplied to the water treatment plant 50.
[0079]
Note that the bottom of the absorption tower 27a, the first make-up water line L from the outside 19 and the washing line L 20 first make-up water via a (e.g. industrial water, recovered water, etc.) the cleaning liquid 67 is supplied by 66A and washing that. Further, the separated water storage tank 29 b, the second make-up water line L 21 and the second supplementary water 66B is supplied via the. In some cases the water balance The addition of these water fluctuates. It should be noted that, for the water balance will be described later.
[0080]
In the above-described embodiment, the exhaust gas G 5 the absorption liquid slurry 28 to absorb sulfur oxides in is sprayed upward from the nozzle 63 and spray nozzle, the ejection portion of the liquid column tower type dropping the ejected droplets is exemplified, the present invention is not limited thereto, it can be applied to the ejection portion of the spray tower type to drop as it droplets downward absorption liquid from example spray nozzles or the like.
[0081]
Next, with reference to FIG. 9, illustrating an example of a water treatment facility 50. Figure 9 is a schematic diagram of a water treatment facility of the water treatment system according to the first embodiment. In FIG. 9, not shown in the first detector 13A and the second detection section 13B. For the detection items of the first detector 13A and the second detection section 13B, separately described.
As shown in FIG. 9, the water treatment system 100A, the desulfurization effluent 31B discharged from desulfurization apparatus 27 of the power generation equipment 20 and the power generation facility 20 and a water treatment facility 50 for water treatment.
[0082]
Water treatment facility 50, an oxidation processing unit 51 for oxidizing the metal component of the waste water 31, and supplies the drug 52a to the wastewater 31 after the oxidation treatment, a silica processing unit 52 for processing the silica component, silica processing unit 52 provided on the downstream side, a flocculation section 53 for flocculation separating solids in waste water 31, and the filtration unit 54 for separating solids in waste water 31, provided on the downstream side of the filter unit 54, the drain 31 a scale inhibitor added 55 for adding a scale inhibitor 55a, provided on the downstream side of the scale inhibitor added 55, the salt in the waste water 31 was desalted removal, processed and recycled water 56 and concentrated water 57 having a demineralizer 58, a. In Figure 9, reference numeral L 21 ~ L 25 are drain line supplying wastewater, L 26 is a concentrated water line. In this embodiment, the oxidation treatment unit 51 and the silica treatment unit 52 and the coagulation-sedimentation unit 53 and the filtration unit 54 and the scale inhibitor added section 55 preprocesses the inflow water flowing into the demineralizer 58 to a predetermined reference Although the pre-processing unit 90A, the pre-processing unit is not limited to this configuration.
[0083]
Oxidation processing unit 51, a predetermined amount to be supplied if necessary oxidizing agent 51a from the oxidant supply unit 51b. In the oxidation treatment unit 51, the oxidizing agent 51a of the air or oxygen is supplied into the oxidation tank drainage 31 is flowed, the metal components in the waste water 31 (for example, iron (Fe), manganese (Mn), or the like) oxidizes . This oxidation process, for example, the solubility of Fe 2+ , Mn 2+ is insoluble Fe (OH) 3 , MnO 2 , and the in the separation section (not shown), precipitation at the time of separating and removing is facilitated, removal of the metal component efficiency is improved. The metal component is contained in the dust. The concentration of dust will vary according to the operating conditions of the power plant side. Here, the addition amount of the oxidizing agent 51a from the oxidant supply unit 51b, the valve V by the control unit 44 1 is controlled via a. Thus, in the oxidation processing unit 51, it is possible to control the heavy metal oxidation performance.
[0084]
Silica processing unit 52, a predetermined amount is supplied in accordance with the silica treating agent 52a required from silica treating agent supply section 52b. The addition of the silica treatment agent 52, a silica processing unit 52, to remove the silica in the waste water 31.
As the silica treating agent 52a, such as sodium aluminate (sodium tetrahydroxy door Rumin acid), iron chloride solution can be used polymer flocculant polymer. Here, the addition amount of the silica treatment agents 52a from silica treating agent supply unit 52b, the valve V by the control unit 44 2 is controlled via the. Thus the silica treatment unit 52 can control the silica removal performance.
[0085]
Flocculation unit 53, a predetermined amount to be supplied as required flocculant 53a from aggregating agent supply unit 53b. The flocculation 53, with the addition of flocculant 53a in the wastewater 31 was silica treated to coagulation sedimentation process. Examples of the aggregating agent to be added to coagulation sedimentation unit 53, for example, polymer flocculants and iron-based coagulant (ferric chloride (FeCl 3 may be used), etc.).
Here, the addition amount of the flocculant 53a from aggregating agent supply unit 53b, the valve V by the control unit 44 3 is controlled via the.
[0086]
Filtration unit 54 separates the precipitate agglomerated precipitated with coagulation-sedimentation unit 53. The filtration unit 54, for example, a precipitate, such as a UF membrane or NF membrane or MF membrane may be mentioned apparatus for separating process.
[0087]
Scale inhibitor added 55 a predetermined amount and supplies as needed scale inhibitor 55a from the scale prevention agent supplying section 55b. The scale inhibitor 55a to be supplied to the waste water 31, thereby suppressing the generation of crystal nuclei in the waste water 31, the crystal nuclei (seed crystals and the saturated concentration was beyond precipitated were small scale, etc.) contained in the waste water 31 adsorbed on the surface, it has a function of suppressing crystal growth. Also, scale inhibitor 55a disperses precipitated water particles of the crystal, such as (to prevent precipitation) also has function. Scale inhibitor 55a as calcium scale inhibitors in the case of preventing the scale is precipitated with calcium in the waste water 31, for example, phosphonic acid scale inhibitor, a polycarboxylic acid-based scale inhibitor, and mixtures thereof and the like. Also, if it contains magnesium in the waste water 31, as the magnesium scale inhibitors in the case of preventing the scale is precipitated comprising magnesium in wastewater 31, for example, a polycarboxylic acid-based scale inhibitor such.
Here, the amount of scale inhibitor 55a from the scale preventive agent supply unit 55b, the valve V by the control unit 44 4 is controlled via the. Thus, in a scale inhibitor added 55, it is possible to control the scale inhibition performance.
[0088]
Demineralizer 58 may be used, for example reverse osmosis (RO) reverse osmosis membrane apparatus having a membrane (RO). Demineralizer 58, the oxidation process, by transmitting drainage 31 which has been pretreated such as silica processing and aggregation precipitation treatment to the reverse osmosis membrane to separate the process into the recycled water 56 and concentrated water 57. When using a reverse osmosis membrane apparatus is controlled by the control unit 44 the pressure and flow rate of feed water. Further, a pH meter for measuring the pH of the feed water provided may be appropriately pH adjusted. Thus the demineralizer 58, it is possible to control the water recovery rate.
[0089]
The desalination apparatus 58, after driving a predetermined time, is cleaning treatment by the cleaning agent reverse osmosis (RO) membranes.
[0090]
Incidentally, the water treatment facility 50, as long as it can be purified wastewater 31 desalting process may also be used treatment water purification device other than the filtration method using a reverse osmosis membrane. The treatment water purification system, for example, nanofiltration membranes (NF), electrodialysis apparatus (ED), the polarity conversion type electrodialysis device (EDR), the electric regenerative pure water device (EDI), the electrostatic desalter ( CDl) such deposition apparatus and ion-exchange resins can be used.
[0091]
Here, the concentrated water 57 separated may be provided an evaporator to play water. Vapor from the evaporator to produce a recycled water to condense. Concentrated water concentrated in the evaporator may be adapted to generate a sludge using a further example the crystallizer.
Furthermore, concentrated water 57, for example, it may be separately treated solids to remove moisture in dewatering machine and dryer. Further, the concentrated water 57 may be cement solidification.
Also, recycled water 56 which has been reproduced, the makeup water or in the plant, can be further purified to drinking water.
[0092]
Next, a description will detect entry of the power generation facility 20 side shown in FIG.
In the fuel 21 is supplied to the boiler 11 of the power plant, the nature of the type and the fuel 21 in the fuel 21 is detected item. The type and properties of the fuel 21, each lot of the fuel 21 during or in advance the fuel 21 is carried, for each type, data such as each origin is separately stored as a database. Also when analyzing regularly fuel accumulates the results of the composition analysis in the database, it performs boiler combustion calculated by the control unit 44 or the water quality prediction unit 42 based on the information of the database, the exhaust gas for each coal type by performing the calculation of, for example, HCl concentration in the estimates the concentration of hydrogen chloride gas, can also be used as a detection item.
[0093]
Here, to illustrate the coal as a fuel 21, as a detection item of the composition of the coal, such characteristics, the composition of the elemental constituents and ash as a detection item. As the detection items of the composition of the properties of coal, for example heating value, total water, natural water, ash, volatile matter, fixed carbon, total sulfur content, HGI, ash softening point, ash melting point, ash pour point detection the item. As the detection items of the elemental constituents of the coal, carbon, hydrogen, oxygen, nitrogen, sulfur, phosphorus, chlorine, fluorine, selenium, boron, mercury, silicon, aluminum, iron, calcium, potassium, manganese, sodium, phosphorus, titanium or the like is detected item.
[0094]
If as a fuel 21 supplied to the boiler 11 using, for example, coal, such as coal supply, coal feed rate, heterogeneous coal type mixing ratio, drug (e.g., halide) feed concentration, the drug (halogen compound) feed rate, the drug (alkaline agent ) feed concentration or the like is detected item. Here, the halogen compound as a drug is intended to be introduced for mercury (Hg) removed countermeasures such as calcium chloride (CaCl 2 ), calcium bromide (CaBr 2 is a), or the like. Further, the alkali agent as the agent is intended to be introduced to implement the furnace desulfurization, for example, calcium hydroxide (Ca (OH) 2 ), a and calcium oxide (CaO).
Detection items of these fuel properties as power generation operation information 40, the first operation data acquisition unit 41 acquires. The good be stored in separate databases (detection items to be described later as well).
[0095]
Then, the boiler 11 burns fuel 21, the state of the boiler load, the combustion temperature, the power generation operation information 40 to air ratio, the first operation data acquisition unit 41 acquires.
[0096]
The exhaust gas G from a boiler 11 0 is denitration sent to the denitration apparatus 23. The exhaust gas G 0 state of the exhaust gas state and drug supply state is supplied to the denitration apparatus 23 is detected item.
As the detection item, such as exhaust gas temperature, the amount of exhaust gas, the agent (ammonia (NH 3 )) feed concentration, the drug (ammonia (NH 3 )) feed rate, the drug (ammonium chloride (NH 4 Cl)) feed concentration, the drug ( NH 4 Cl) feed rate or the like is detected item. Incidentally, denitration agent ammonia gaseous or liquid, ammonium chloride, there may be mentioned urea, etc., but is not limited thereto.
The detection item, the exhaust gas G is introduced into the denitrification device 23 0 as power generation operation information 40, the first operation data acquisition unit 41 acquires.
[0097]
Exhaust gas G 0 in the solution of nitrogen oxides capable of decomposing NOx removal device 23, NOx removal efficiency, denitration temperature, etc. is detected the item. The detection items as power generation operation information 40 of the operating conditions of the denitration apparatus 23, the first operation data acquisition unit 41 acquires.
[0098]
The exhaust gas G from the denitration apparatus 23 1 is sent to the air heater 24, to heat such as air supplied to the boiler 11 supplied from the outside. The exhaust gas G 1 state of the exhaust gas state and drug supply state is supplied to the air heater 24 is detected item.
As the detection item, such as exhaust gas temperature, the amount of exhaust gas, nitrogen oxides (NOx) concentration, hydrogen chloride (HCl) concentration, drug (ammonia (NH 3 )) concentration, pressure, etc. is detected the item. The detection item, the exhaust gas G is introduced into air heater 24 1 as the power generation operation information 40, the first operation data acquisition unit 41 acquires.
[0099]
In the air heater 24, cooling the temperature is detected item. As the detection item, such as exhaust gas temperature, the exhaust gas amount and the like is detected item. The detection items as power generation operation information 40 of the operating conditions of the air heater 24, the first operation data acquisition unit 41 acquires.
[0100]
The exhaust gas G from the air heater 24 2 is sent to a heat exchanger (heat recovery unit) 25A, a heat medium (such as hot water or gas) and by performing the heat exchange, is heat recovery. The exhaust gas G 2 state of the heat exchanger exhaust gas state or the like which is supplied to the (heat collector) 25A is detected item. The detection item, the exhaust gas G is introduced into the heat exchanger 25A 2 as power generation operation information 40, the first operation data acquisition unit 41 acquires.
[0101]
In the heat exchanger (heat recovery unit) 25A, heat recovery and temperature is detected item. The detection items as power generation operation information 40 of the operating conditions of the heat exchanger 25A, the first operation data acquisition unit 41 acquires.
[0102]
Heat exchanger the exhaust gas G from (heat recovery unit) 25A 3 is sent to the dust collector 26, the exhaust gas G 3 soot is removed. The exhaust gas G 3 state of the case of using the as the dust collecting device 26 for example, an electric dust collector, the exhaust gas temperature is supplied to the electrostatic precipitator, the amount of exhaust gas, the exhaust gas water content, dust concentration, particle size distribution of the dust, drugs (adsorbent) feed concentration, the drug (adsorbent) feed rate or the like is detected item. Here, the adsorbent as a drug is intended to be introduced for mercury (Hg) removed measures, such as activated carbon (AC) and the like. The detection item, the exhaust gas G is introduced into the dust collecting device 26 3 as power generation operation information 40, the first operation data acquisition unit 41 acquires.
[0103]
The electric dust collector, Jochiriritsu, field strength, temperature, voltage, current density, etc. is detected the item. The detection items as power generation operation information 40 of the operating conditions of the dust collecting device 26, the first operation data acquisition unit 41 acquires.
[0104]
The exhaust gas G from the electric dust collector 4 is boosted by the ventilator 37, the exhaust gas G is boosted 5 is fed to the desulfurization apparatus 27, the exhaust gas G 5 sulfur oxides (SOx) are removed. The exhaust gas G 5 state of the exhaust gas G is supplied to the inlet of desulfurizer 27 5 exhaust gas temperature, exhaust gas quantity of the exhaust gas in water content, dust concentration, sulfur dioxide (SO 2 ) concentration, hydrogen chloride (HCl) concentration, mercury (Hg) concentration and the like can be detected item. The detection item, the exhaust gas G is introduced into the desulfurization apparatus 27 5 as power generation operation information 40, the first operation data acquisition unit 41 acquires.
[0105]
In the desulfurization apparatus 27, the desulfurization rate, Cl concentration, the absorption liquid slurry reservoir of the liquid level, the temperature of the absorbent solution slurry, pH, ORP, electrical conductivity, ionic strength, slurry concentration, absorption liquid amount of slurry or the like is detected item to become. The detection items as power generation operation information 40 of the operating conditions of the desulfurization apparatus 27, the first operation data acquisition unit 41 acquires.
[0106]
The exhaust gas G from the desulfurizer 27 6 is delivered to a heat exchanger (reheater) 25B, and is discharged from the chimney 38 after being heat exchanged. The exhaust gas G 6 state of the exhaust gas temperature, the exhaust gas quantity, pressure, exhaust gas water content, SO 2 concentration, HCl concentration, Hg concentration and the like is detected item. The detection item, the exhaust gas G is discharged from the desulfurization apparatus 27 6 as power generation operation information 40, the first operation data acquisition unit 41 acquires.
[0107]
These detection items are detected by the first detection unit 13A, not shown, the information that the power generation operation information 40 of the detection data, to predict the quality prediction section 42, the prediction quality 43 of the drainage 31 which flows into the water treatment facility 50 It is used as a. Control unit 45, based on the predicted quality 43 this that predicted, to feedforward control 44 operating conditions of the water treatment facility 50.
[0108]
It will now be described for the detection items of the desulfurization apparatus shown in FIG.
Within absorption column 27a of the desulfurization apparatus 27, the exhaust gas G to be introduced with the absorption liquid slurry 28 5 in contact Togaki solution to remove sulfur oxides in the exhaust gas. In this case, the absorption tower 27a, as described in FIG. 8, the exhaust gas G 5 together are introduced, the absorption liquid slurry 28 of desulfurization is circulated by the gas-liquid contact exhaust gas G 5 desulfurize the sulfur oxides in It is processed.
At this time, the absorbing solution slurry 28 withdrawn from the absorption tower 27a, separated water 29a, limestone slurry 60, the first and second makeup water 66A, 66B, the cleaning liquid 67, gypsum 30, and the properties of the desulfurization effluent 31B, flow rate and There is a detection item.
[0109]
Here, the detection fields of the absorbent slurry 28, for example withdrawal amount, withdrawal rate, temperature, pH, redox potential (ORP), the electrical conductivity, the slurry concentration and the like is detected item.
[0110]
The detection items of separated water 29a, for example, separated water supply amount, separated aqueous form, temperature, pH, gypsum content and the like is detected item.
[0111]
The detection items of limestone slurry 60, for example limestone supply, limestone feed rate, type of limestone, properties of limestone, limestone concentration, slurry temperature, pH, electric conductivity, etc. can be detected item.
[0112]
First and second makeup water 66A, as the detection item 66B, for example, supply water-like, makeup water supply amount, makeup water feed rate, temperature, pH, electric conductivity, etc. can be detected item.
[0113]
The detection items of the cleaning liquid 67, for example, washing the aqueous form, wash water supply, the washing water feed rate, temperature, pH, electric conductivity, etc. can be detected item.
[0114]
The detection items gypsum 30, for example moisture content, gypsum recovery amount or the like is detected item.
[0115]
The detection items of desulfurization effluent 31B, for example, amount of water discharged desulfurization effluent 31B, drainage rate, the waste water composition and the like is detected item.
[0116]
Here, the detection fields of the makeup water, the composition of the desulfurization effluent 31B, for example H + , Na + , K + , Ca 2+ , total Mg amount, Mg 2+ , Mn 2+ , Al 3+ , NH 4 + , Cl - , Br - , NO 3 - , NO 2 - , S 2 O 6 2- , SO 4 2- , total SO 4 , SO 3 2- , F - , total F, B, SiO 2 , TDS, total N, NH 4 + , NO 3 - , NO 2 - , total Fe, Fe3+ , Fe 2+ , oils and greases, TOC, COD, AOC, BFR, free chlorine, Ba 2+ , Sr 2+ , HCO 3 - , CO 3 2- , bacteria, oxidizing agent, organic, temperature, pH, ORP, electrical conductivity, Hg, as, Se, Cu, I - , and ion strength is detected item.
[0117]
As the detection item of limestone, for example, CaCO 3 content, CaO content, Ca utilization, MgCO 3 content, Mg elution amount, Mg dissolved amounts, MnO content, total COD, carbon, hydrogen, oxygen, nitrogen , sulfur, phosphorus, chlorine, fluorine, selenium, boron, mercury, silicon, titanium, etc. is detected item.
[0118]
Here, the Ca utilization refers to the ratio to be used for desulfurization in the limestone (main component calcium carbonate). The Mg elution amount or Mg dissolved amount means the amount of magnesium to be dissolved from the limestone absorption liquid slurry 28. These values are all, limestone is a unique number, for example, there are variations due quarry locations like, obtained from the database.
[0119]
These detection items as power generation operation information 40 of desulfurization apparatus 27, the first operation data acquisition unit 41 acquires. The power generation operation information 40, the water quality prediction unit 42, is used as information for predicting a prediction quality 43 of the drainage 31 which flows into the water treatment facility 50. Control unit 45, based on the predicted quality 43 this that predicted, to feedforward control 44 operating conditions of the water treatment facility 50.
[0120]
Further, it is possible to add a desulfurizer 27 around the water balance as the detection item.
As shown in FIG. 8, the absorption tower 27a of the desulfurization apparatus 27, it is necessary to obtain the water balance of the water flows out moisture flows. The components flowing into the absorption tower 27a, the exhaust gas G 5 water and air, moisture in the first makeup water 66A and a second make-up water 66B, there is water in the limestone slurry 60, and as the component flowing out , the exhaust gas G 6 is water moisture in the plaster 30 and in the desulfurization effluent 31B. Here, the exhaust gas G flows as an example 5 water varies fuel, the combustion conditions. Air 68 is under the saturated vapor pressure of the atmosphere to determine the water concentration in the supply air temperature. Water concentration of limestone is about 0 wt% to determine the water concentration at the time of creation of the limestone slurry 60. Exhaust gas G discharged 6 water concentration in is 12.2Vol% at exhaust gas temperatures for example of 50 ° C. saturated vapor pressure. Water concentration of gypsum 30 is about 20% by weight by the separation of the gypsum separator 29. Water concentration in the desulfurization effluent 31B is 92 wt% or less.
Further, there is a change in moisture by crystal water during the gypsum produced by the following desulfurization reaction in the absorption tower 27a.
SO 2 + CaCO 3 + 1 /. 2O 2 + 2H 2 O → CaSO 4 · 2H 2 O + CO 2 ↑
[0121]
Therefore, the change in the amount of water accumulated in the bottom portion of the absorption column 27a of the desulfurization apparatus 27 (V), the amount of water inflow component (m 3 / h), the amount of water outflow component (m 3 / h), the water by desulfurization change (m 3 / h) and water of the desulfurization apparatus 27 (m 3 from) can be calculated balance water. The results of this water balance, to calculate the temporal change of the concentration of the water of the desulfurization apparatus 27.
[0122]
Then, by the information of the water balance and the detection fields, it is possible to determine the quality of the water balance, it can verify the water balance at the moment. Therefore, the information of the water balance obtained in the first operation data acquisition unit 41 as the power generation operation information 40, obtains a predicted water 43 from this consideration water balance, by performing the feedforward control, accurate FF it is possible to execute the control. Further by determining the water balance after the feed forward control, it is possible to perform more feedback control.
[0123]
Next, a description will be given detection item of the water treatment equipment shown in FIG.
The detection items in the oxidation processing unit 51 constituting the water treatment facility 50, pH, ORP, DO, temperature, air supply, air supply rate, the oxidizing agent addition amount, the oxidizing agent added speed, the liquid total amount (tank capacity), flow rate, such as the reaction time is detected item. Further, Fe of the treated water after the oxidation treatment 2+ , Fe 3+ , Mn 2+ , MnO 2 each concentration of the detection fields.
[0124]
The detection items in the silica treatment unit 52, pH, temperature, drug supply, stirring speed, reaction time, etc. is detected the item. Further, the silica concentration in the treated water after silica treatment or the like is detected item.
The detection items in the flocculation unit 53, the amount of flocculant, quantity coagulant added, residence time, agitation intensity, etc. is detected the item.
[0125]
The detection items in the filtration unit 54, feed amount, filtration rate, cleaning frequency, cleaning time, cleaning agent amount added, the temperature, suspended solids (Suspended Solids: SS), turbidity and the like is detected item.
The detection items of the scale inhibitor added 55, the amount of the scale inhibitor 55a is detected item.
[0126]
The detection items demineralizer 58, for example in the case of using a reverse osmosis membrane (RO) apparatus, feed pressure, feed flow, temperature, pH, desalting speed, cleaning frequency, cleaning time, cleaning agent addition amount, reverse detection data in the detection sensor for detecting the attachment components to be attached to the osmosis (RO) membranes, detection data of the electric conductivity meter is detected item. The concentration of the recycled water 56 after desalting, concentration of concentrated water 57 as a detection item. Further, in the case of desalting using ion exchange resins, resin replacement frequency, resin regeneration frequency, the treated water density as a detection item. If further use of the electrodialysis apparatus (ED) is the current density or the like is detected item.
[0127]
The detection items of the evaporator, the steam supply, the steam feed rate, feed amount, feed rate, feed temperature, pH of the feed solution, scale inhibitor addition amount, temperature, concentrated water extraction speed and the like and detects items Become.
[0128]
また、水処理設備50として、生物処理設備を用いる場合の検出項目としては、例えば温度、pH、酸化還元電位(Oxidation-Reduction Potential:ORP)、溶存酸素(Dissolved Oxygen:DO)、薬剤供給量、薬剤供給速度、栄養塩供給量、栄養塩供給速度、微量金属類供給量、微量金属類供給速度、汚泥滞留時間(Sludge Retention Time:SRT)、空気供給量、空気供給速度、酸化剤供給量、酸化剤供給速度、還元剤供給量、還元剤供給速度等が検出項目となる。生物処理の薬剤としては、例えばメタノール、乳酸塩などを例示することができる。
[0129]
これらの検出項目は、水処理設備50の水処理運転情報70として、第2の運転データ取得部71が取得する。この水処理運転情報70は、水質予測部42において、水処理設備50に流入する排水31の予測水質43を予測する情報として利用される。制御部45は、この予測された予測水質43に基づいて、水処理設備50の運転条件をフィードフォワード制御44する。
また、フィードフォワード制御44を行った後の水処理運転情報70を制御部44に送り、制御部44では、水質予測43に基づき行った水処理設備50のFF制御)が適切であったか否かを判断して、この判断の結果をフィードバック(FB)制御46する。
[0130]
以下、図10を用いて、水処理システム10の水質予測部42の処理について説明する。ここで、図10は、水処理システムの制御動作の一例を示すフローチャートである。
なお、水質予測部42での処理は、発電設備20が駆動している間、図10に示す処理を繰り返し実行する。例えば、一定時間ごとに図10に示す処理を実行したり、運転情報を取得するごとに図10に示す処理を実行したりする。また、燃料21が変更した場合やボイラ運転負荷を変更した場合に処理を実行するようにしてもよい。
[0131]
第1の運転データ取得部41は、ステップS12として発電設備20の運転情報を取得する。つまり、第1の運転データ取得部41は、通信を介して、第1の検出部13Aで検出した結果の第1の検出部データ、データベースのデータを取得する。
[0132]
水質予測部42は、ステップS12で取得した発電運転情報40から、水処理設備50の運転変更項目に対応した運転情報を第1の運転データ取得部41から取得し、ステップS14として排水31の性状を予測水質43として予測する。また、この予測水質43から、ステップS16として水処理設備50の各機器の運転項目に対応した運転条件を求める。水処理設備50の運転条件を求めたら、ステップS18として現在の運転条件から水質予測部42により求めた新たな水処理設備50の運転条件へ変更するか否かを判定する。水質予測部42は、ステップS18で運転条件を変更する(Yes)と判定した場合、ステップS20として、水処理設備50へ予測水質43に基づいた運転条件となるフィードフォワード制御45を制御部44により実行し、本処理を終了する。
[0133]
Here, the operating condition is at least one operating condition of the devices constituting the water treatment plant 50. As a method for notification, it is possible to use various methods. You may contact communication such as mail, and outputs to the control unit 44 may also be displayed on the display device of the water treatment facility 50. Incidentally, the water quality prediction unit 42, it is preferable to detect the operating conditions in consideration also detected value for the current operating conditions and configuration devices. Water prediction unit 42, if it is determined not to change the operating conditions in step S18 (No), the process ends.
[0134]
Moreover, water quality prediction unit 42 executes the processing shown in FIG. 10 for each of acquiring operation information, it is possible to quickly detect a prediction quality 43 of the drainage 31. The Predictive water 43, upon detecting that a change in the properties of the waste water 31, the water quality prediction unit 42 or the control section 44 corresponds to the future quality variation, and operating conditions of the water treatment facility 50 which maintains the water treatment performance the detected by the feed forward control 45 notifies the determined operating conditions, the water treatment facility 50 can be stably operated.
[0135]
Further, in step S12, may be acquired water treatment operation information 70 of the water treatment facility 50. That is, the second operation data acquisition unit 71 via the communication, the second detection portion data of the result of detection by the second detection section 13B, acquires the data in the database.
[0136]
The water quality prediction unit 42 obtains the power generation operation information 40 and the water treatment operation information 70 acquired in step S12, to predict the properties of the waste water 31 as the predicted water 43 in step S14. Thus, based on the operation information and operation information of the combined operation information and water treatment equipment 50 of the power generation facility 20, it is possible to obtain a highly accurate predicted water 43.
[0137]
Further, in step S12, it may be further acquired the quality data from the third detector 13C. That is, the third operation data acquisition unit 47 via the communication to acquire the third detector data results detected by the third detector 13C.
[0138]
The water quality prediction unit 42, the power generation operation information 40 and the water quality information 48A obtained in step S12, acquires 48B, to predict the properties of the waste water 31 as the predicted water 43 in step S14. Thus, based on the operating information by combining the information of the waste water 31 to be introduced to the operation information and the water treatment plant 50 of the power generation facility 20, it is possible to obtain a highly accurate predicted water 43.
[0139]
Next, a procedure for adding a further feedback control to the feedforward control. Here, FIG. 11 is a flowchart showing an example of the control operation of the water treatment system. Figure 11 is another flowchart showing an example of the control operation of the water treatment system.
[0140]
This process, after performing the feedforward control, is to verify the operation of the water treatment facility is operated properly.
Second operation data acquisition unit 71 acquires the operation information of the water treatment facility 50 after FF control in step S22. That is, the second operation data acquisition unit 71 via the communication, the second detection portion data of the result of detection by the second detection section 13B, acquires the data in the database.
[0141]
Control unit 44, from the water treatment operation information 70 acquired in step S22, acquires operation information corresponding to the operation change item of the water treatment system 50 from the second operation data acquisition unit 71, the processing of the waste water 31 as step S24 to determine whether it is appropriate. The determination of the step S24, if it is determined the equipment operating conditions of the water treatment facility 50 is appropriate (Yes), Step S26, and continues the water treatment as it conditions, the process is terminated.
[0142]
In contrast, the judgment of this step S24, if each device operating conditions of the water treatment facility 50 is determined not to be appropriate (No), in step S30, the control unit 44, the operating conditions of the water treatment facility 50 is appropriately and so that, to perform the FB control.
[0143]
Then, the FB control to determine appropriate or acquires operation information of the water treatment facility 50 after the FB control in step S32.
[0144]
Control unit 44, from the water treatment operation information 70 acquired in step S32, the operation information corresponding to the operation change item of the water treatment facility 50 obtains from the second operation data acquisition unit 71, drainage by FB control as step S34 It processes 31 to determine whether it is appropriate. The determination of the step S34, if it is determined the equipment operating conditions of the water treatment facility 50 is appropriate (Yes), the step S36, and continue the water treatment as it conditions, the process is terminated.
[0145]
In contrast, the judgment of this step S34, if each device operating conditions of the water treatment facility 50 is determined not to be appropriate (No), the step S38, the in the control unit 44, the operating conditions of the water treatment facility 50 is appropriately and so that, to perform the FB control again.
This determination may be repeated until the appropriate.
[0146]
Next, with reference to FIG. 9, an example of operation control for the construction equipment for water-treatment facility 50 for processing the waste water 31.
As the operation of the water treatment facility 50, for example, when focusing on the operation of the oxidation processing unit 51, the water quality prediction unit 42, based on the power generation operation information and heavy metals information in the waste water from the power plant 20 to be discharged from the power generation facility 20, predicting the heavy metal composition of the waste water 31 as the predicted water 43. Then, the oxidation processing unit 51 constituting the water treatment plant 50, the water quality prediction 43 of the drain 31, the supply amount of the oxidizing agent 51a that adjusts the heavy metal oxidation performance and feed-forward control by the control unit 44, the oxidation process properly run. Accordingly, while preventing the oxidation shortage of heavy metals, it is possible to prevent excessive supply of the oxidizing agent. Details will be described in Examples below.
[0147]
Further, as the operation of the water treatment facility 50, for example, when focusing on the operation of the silica processing unit 52, the water quality prediction unit 42, based on the silicon-containing information in waste water power generation operation information 40 and is discharged from the power generation facility 20, predicting the quality of the silica component in the waste water 31 as the predicted water 43. Then, the silica processing unit 52 constituting the water treatment plant 50, the water quality prediction of wastewater 31, the amount of the control unit 44 such as silica processing agent 52a may be controlled feed forward. Thus, it is possible to maintain the concentration of silica remaining below the target value, it is possible to facilitate processing in the demineralizer 58. Details will be described in Examples below.
[0148]
Further, as the operation of the water treatment facility 50, for example, when focusing on a scale inhibitor added 55, water quality prediction unit 42, the content information of the scale components in the wastewater that is power generation operation information 40 and discharged from the power generation equipment 20 based predicts the quality of scale components in the waste water 31 as the predicted water 43. Then, the scale inhibitor added 55 constituting the water treatment plant 50, from the prediction quality 43 of the drainage 31, the amount of the control unit 44 for example a scale inhibitor 55a controls feedforward. This makes it possible to operate at optimum recoveries following the density variation without clogging in the process of desalting device 58. Details will be described in Examples below.
[0149]
Further, as the operation of the water treatment facility 50, if attention is paid, for example, in desalting device 58, the water quality prediction unit 42, based on the content information of the scale components in the wastewater that is power generation operation information 40 and discharged from the power generation facility 20, to predict the water quality of the waste water 31. Then, from the predicted water 43 calculates the recovery of desalination apparatus 58 (concentration rate). Then, the control unit 44 the operating conditions (supply pressure or supply rate) of the demineralizer 58 constituting the water treatment facility 50 may be feedforward control 45. This makes it possible to operate at an optimum recovery of the closure or the like follows the density variation without the desalting process. Details will be described in Examples below.
[0150]
According to this embodiment, based on the power generation operation information 40 from the power generation equipment 20 is plant facility, to predict water quality prediction unit 42 the water quality in the desulfurization effluent 31B as predicted water 43, from the prediction quality 43, water treatment the control unit 44 the operating conditions of system 50 by feed-forward control can correspond to abrupt quality fluctuations in the desulfurization effluent 31B.
Example 2
[0151]
The water treatment system according to a second embodiment of the present invention will be described with reference to the drawings.
Figure 12 is a schematic diagram showing a water treatment system according to the second embodiment. Note that the member that overlaps with construction of the water treatment system according to a first embodiment, a description thereof will be omitted with the same reference numerals.
As shown in FIG. 12, the water treatment system 100A according to the second embodiment, the boiler 11 as a power generation facility 20, an air heater 24, and a dust collector 26 and the desulfurization apparatus 27.
The desulfurizer free drainage of water treatment facilities (hereinafter referred to as "water treatment facilities") 50A of the desulfurization effluent 31B to continuously drained by being water treatment from 27 includes a pre-processing unit 90B for preprocessing desulfurization effluent 31B, and a vaporizer 59 for evaporative drying of concentrated water 57 from the desalter 58 and demineralizer 58 for desalting the desulfurization effluent 31B after pretreatment, to implement the free wastewater treatment of the desulfurization effluent 31B . In this embodiment, as the pre-processing unit 90B, and using a solid-liquid separation unit for removing suspension in desulfurization effluent 31B.
[0152]
In this embodiment, the case of using coal as a fuel 21 supplied to the boiler 11, if there are variations in the type of coal (coal type), it is to predict the quality of desulfurization effluent 31B as the predicted water 43.
If the type of coal varies, the sulfur (S) component contained in the coal, the chlorine since (Cl) content of the component is varied, the first operation data acquisition unit 41 the information of the coal type as the power generation operation information 40 in acquired water quality prediction unit 42 from the information, supersaturation of gypsum 31 in the desulfurization effluent 31B that flows into the desalter 58 (Saturation index: SI) and total soluble evaporation residue (total dissolved Solids; TDS) It is calculated, and are asking the predicted water quality 43. Calculating the calculated predicted water 43 in the demineralizer 58 such as reverse osmosis unit from the recovery rate when (RO unit) was used (concentration rate).
[0153]
Then, the control unit 44, so that this calculated recovery rate, the opening and the regulating valve for adjusting the pressure of the inflow water flowing into the desalting unit 58, feed forward control of the rotational speed of the feed pump.
[0154]
Here, supersaturation of gypsum 31 (SI) is an indicator of the saturation of gypsum, the SI index is many times the concentration product of the sulfate ions and calcium ions in the waste water solubility product (Ksp) [ SO 4 2- ] · [Ca 2+ is an index indicating how stable can exist in.
Further, drainage TDS is the value of the remaining material was directly evaporated to dryness desulfurization effluent 31B, filtered - determined by stepping on procedures such as weighing analytical processing - weighing - dryness. Incidentally, the conductivity is measured, it is also possible to use a TDS measuring instruments indirectly determined by correlation between the conductivity.
[0155]
In a first aspect of this embodiment, water quality prediction unit 42 first based on at least one of the power generation operation information 40 of database and operating data of the power generation facility 20 of the fuel of the power generation facility 20, flows into the demineralizer 58 Ca in the influent water to be 2+ , SO 4 2- predict ionic nature, Ca in the influent water predicted 2+ , SO 4 2- predict; (SI Saturation index) gypsum supersaturation in the influent water from the ion properties It is calculated as the water quality 43. Water prediction unit 42 calculates the first water recovery rate of demineralizer 58 than the calculated gypsum supersaturation (SI) (concentration ratio). Then, the control unit 44, so that the calculated first water recovery rate, feed forward control at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus 58.
Here, the ion property is an index to determine the calcium in the desulfurization effluent 31B ions, the concentration of sulfate ions, pH of the desulfurization effluent, the temperature, electric conductivity, from the detection items such as ionic strength. Thus, for example, there is no clogging of the RO membrane or the like in the demineralizer 58, it is possible to operate at optimum recoveries following the density variation.
claims
[Claim 1]A water treatment system for processing waste water discharged from the plant facilities,
and water treatment equipment for processing the waste water,
the first operation data acquisition unit that acquires plant operation information from the plant equipment,
the first based on the acquired plant operation information in the operation data acquisition unit, and water quality prediction unit that predicts the quality of the waste water,
based on the predicted quality predicted by the quality predictor feeds the operating conditions of the water treatment facility water treatment system characterized by comprising a control unit for forward control, the.
[Claim 2]
Comprising a second operation data acquisition unit that acquires water treatment operation information of the water treatment facility,
the quality prediction unit, based on the plant operation information and the water treatment operation information, to predict the quality of the drainage the water treatment system of claim 1, wherein the.
[Claim 3]
Comprising a third operation data acquisition unit, for acquiring quality information between the water treatment facility and the plant equipment
water the quality prediction unit, acquired by the plant operation information and the third operation data acquisition unit the water treatment system of claim 1, wherein the predicting the quality of the waste water based on the information.
[Claim 4]
Wherein disposed between the plant equipment and the water treatment facilities, water treatment system according to claim 1, characterized in that the waste water having a predetermined time stored adjustment tank.
[Claim 5]
Wherein disposed between the plant equipment and the water treatment facility, the comprises a predetermined time storing adjustment tank drainage,
the third operation data acquisition unit, acquiring the quality information of the waste water of the adjusting tank the water treatment system of claim 3, characterized in that.
[Claim 6]
The water treatment facility includes a desalination device for separating into a concentrated water and recycled water from the waste water,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment Te, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- predict ionic nature,
Ca of the inflow water predicted 2+ , SO 4 2- plaster of the inflow water from the ion properties calculating the degree of supersaturation, the more the gypsum supersaturation of calculating a first water recovery ratio desalination apparatus,
the control unit, so that the calculated first water recovery rate and supplies the demineralizer the water treatment system of claim 1, wherein the controlling at least one of the supply pressure and supply flow rate of the influent water.
[Claim 7]
The water treatment facility includes a desalination device for separating into a concentrated water and recycled water from the waste water,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment Te, predicts the ion concentration of the inflow water flowing into the desalter,
to calculate the concentration of total soluble evaporation residue of the inflow water from the ion concentration of the influent water was predicted, the total solubility evaporation residue the more the concentration of the object to calculate a second water recovery ratio desalination apparatus,
the control unit,
so that the calculated second water recovery, the supply pressure of the incoming water and feed supplied to the demineralizer the water treatment system of claim 1, wherein the controlling at least one of flow rate.
[8.]
The water treatment facility includes a desalination device for separating into a concentrated water and recycled water from the waste water,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment Te, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- predict ionic nature,
Ca of the inflow water predicted 2+ , SO 4 2- plaster of the inflow water from the ion properties calculating the degree of supersaturation, it calculates a first water recovery rate of the more the gypsum supersaturation demineralizer,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the de predicting the ion concentration of the inflow water flowing into the salt system,
to calculate the concentration of total soluble evaporation residue of the inflow water from the ion concentration of the influent water was predicted from the concentration of the total soluble evaporation residue Before Calculating a second water recovery ratio desalination apparatus,
the value of the first water recovery rate calculated, by comparing the values of the second water recovery, to select a value lower water recovery rate,
the control parts are such that the selected water recovery, water treatment system of claim 1, wherein the controlling at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus.
[Claim 9]
The water treatment facility includes a desalination device for separating into a concentrated water and recycled water from the waste water,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment Te, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- predict ionic nature,
Ca of the inflow water predicted 2+ , SO 4 2- plaster of the inflow water from the ion properties calculating the degree of supersaturation,
to calculate the amount of scale inhibitor added to the influent water from the predicted gypsum supersaturation,
the control unit is
such that the amount of calculation of the addition amount of the scale inhibitor, the water treatment system of claim 1, wherein the controlling the amount of the scale inhibitor.
[Claim 10]
The water treatment facility, the silica processing unit for removing silica component in waste water, and a desalination apparatus for separating process water to remove the silica component in the reclaimed water and concentrated water,
the water quality prediction unit ,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, and predicts a silica component concentration in the waste water flowing into the silica treatment unit,
wherein the control unit,
by the quality predictor depending on the silica component concentrations predicted, water treatment system according to claim 1, characterized in that controlling the addition amount of the silica treatment agent supplied to the silica processing unit.
[Claim 11]
The water treatment facility, an oxidation processing unit for oxidizing the metal component in the waste water,
and a desalination device for separating the concentrated water and recycled water from the process water treated by the oxidation treatment unit,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, to predict the concentration of the metal component in the waste water flowing into the oxidation treatment unit,
wherein the control unit,
depending on the metal component concentration expected, water treatment system according to claim 1, characterized in that to control the supply amount of the oxidizing agent supplied to the oxidation treatment unit.
[Claim 12]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- ionic predicting the properties,
Ca of the inflow water predicted 2+ , SO 4 2- calculated gypsum supersaturation of the inflow water from the ion property, the first water recovery rate of the more the gypsum supersaturation demineralizer calculated,
claim wherein the control unit, so that the calculated first water recovery, characterized by controlling at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus the water treatment system according to 1.
[Claim 13]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
the plant fuel equipment data and the based on at least one of the operating data of the plant equipment to predict the ion concentration of the inflow water flowing into the desalter,
the predicted the concentration of total soluble evaporation residue of the inflow water is predicted from the ion concentration of the inflow water, calculating a second water recovery rate of the than the concentration of the total soluble evaporation residue demineralizer,
wherein the control unit ,
so that the calculated second water recovery, water treatment system of claim 1, wherein the controlling at least one of the supply pressure and supply flow rate of the influent water to be supplied to the desalination apparatus.
[Claim 14]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- ionic predicting the properties,
Ca of the inflow water predicted 2+ , SO 4 2- calculated gypsum supersaturation of the inflow water from the ion property, the first water recovery rate of the more the gypsum supersaturation demineralizer and calculates,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the predict the ion concentration of the inflow water flowing into the desalter,
the influent water predicted ions conc. The concentration of total soluble evaporation residue in the influent water to predict, second to calculate the water recovery rate, the desalter than the concentration of the total soluble evaporation residue from
the calculated first water recovery rate values If, by comparing the values of the second water recovery, the value selects a low water recovery rate,
wherein the control unit, so that the selected water recovery, the inflow supplied to the demineralizer the water treatment system of claim 1, wherein the controlling at least one of the supply pressure and supply flow rate of the water.
[Claim 15]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , SO 4 2- ionic predicting the properties,
Ca of the inflow water predicted 2+ , SO 4 2- calculated gypsum supersaturation of the inflow water from the ion properties,
added from the gypsum supersaturation of the scale preventive agent to be added to the influent water to calculate the amount,
the control unit is
such that the amount of calculation of the addition amount of the scale inhibitor, water treatment according to claim 1, characterized in that to control the amount of the scale inhibitor system.
[Claim 16]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the Ca in the influent water flowing into the demineralizer 2+ , HCO 3 - ions properties and pH predict,
Ca of the inflow water predicted 2+ , HCO 3 - calculates the reproduction frequency of the ions properties and ion-exchange resins for circulating the flowing water from pH,
the control unit,
the ion-exchange resin reproduction frequency so that the calculated playback frequency of the water processing system according to claim 1, characterized in that to control the playback frequency of the ion exchange resin.
[Claim 17]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
the based on at least one of plant equipment fuel data and operating data of the plant equipment, Mg in the influent water flowing into the demineralizer 2+ predicts ions properties of,
predicted Mg 2+ to calculate the reproduction frequency of the ion exchange resin for circulating said incoming water from the ion property of,
the control unit is
such that the regeneration frequency of calculating the reproduction frequency of the ion-exchange resin, the ion exchange the water treatment system of claim 1, characterized in that to control the regeneration frequency of the resin.
[Claim 18]
The water treatment facility includes
an ion exchange unit for adsorption treatment the ions in the waste water,
a degassing unit to separate gas in the waste water,
organic and desalination device for separating into a concentrated water and recycled water from the waste water and,
the quality prediction unit,
the based on at least one of operational data of the data and the plant equipment fuel plant equipment, HCO in the influent water flowing into the demineralizer 3 - predicts ions properties,
HCO predicted 3 2 calculates the operating pH of the degassing portion for circulating said incoming water from the concentration,
the control unit,
the so that the pH of calculating the operating pH of the degassing unit, the degassing unit the water treatment system of claim 1, characterized in that to control the pH.
[Claim 19]
The water treatment facility further comprises a silica processing unit for removing silica component in the waste water,
the quality prediction unit,
based on at least one of operational data of the fuel of the data and the plant equipment of the plant equipment predicts a silica component concentration in the waste water flowing into the silica treatment unit,
wherein the control unit,
depending on the silica component concentration predicted by the quality prediction unit, the amount of silica treating agent supplied to the silica treatment unit the water treatment system according to any one of claims 12 to 18, characterized in that to control.
[Claim 20]
The water treatment facility further comprises a solid-liquid separation unit for suspension separated in the waste water,
the quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment Te, wherein the flow into the solid-liquid separation unit predicts the density of the suspension in the waste water,
wherein,
in response to suspension concentrations predicted, the supply of the coagulant supplied to the solid-liquid separation unit the water treatment system according to any one of claims 12 to 18, characterized in that controlling the amount.
[Claim 21]
A second operation data acquisition unit that acquires the water treatment operation information of wastewater treatment equipment after the feedforward control,
the control unit, the obtained water treatment operation information in said second operation data acquisition unit based on the water treatment system of claim 1, wherein the feedback control of the operating conditions of the water treatment facility.
[Claim 22]
The water treatment system according to any one of claims 6 to 18, characterized in that it has an evaporator for evaporating the concentrated water from the desalter.
[Claim 23]
The water treatment facility is a biological treatment tank,
the water quality prediction unit,
based on at least one of operational data of the data and the plant equipment of fuel in the plant equipment, the waste water flowing into the biological treatment tank It predicts the concentration of nitrogen and selenium concentration,
the control unit,
depending on the nitrogen concentration or selenium levels predicted air supply amount to be supplied to the biological treatment tank, the drug amount, at least biological amount and sludge withdrawal amount the water treatment system of claim 1, characterized in that control one.
[Claim 24]
A boiler,
an exhaust gas treatment apparatus for treating an exhaust gas of the boiler, a power plant having a,
having a water treatment system for processing waste water discharged from the power generation facility,
the water treatment system,
processing the wastewater and water treatment facilities,
and the operation data acquisition unit that acquires operation information from the generation facility,
based on the operation data acquired by the operation data acquisition unit, and water quality prediction unit that predicts the quality of the waste water,
the quality prediction based on the predicted predicted water quality parts, power plant, characterized by comprising a control unit for controlling a feed-forward operation conditions of the water treatment facility.
[Claim 25]
A method of controlling a water treatment system including a water treatment facility for processing waste water discharged from the plant facilities,
a first operation data obtaining step of obtaining a plant operation information from the plant equipment,
the first operating based on the information acquired by the data acquisition step, the water quality prediction step for predicting the draining of water,
based on the predicted quality predicted by the quality prediction step, control for controlling the feed forward operating conditions of the water treatment facility the method of water treatment systems, characterized in that it comprises a step.
[Claim 26]
A second operation data obtaining step of obtaining the water treatment operation information from the water treatment facility,
the claims on the basis of the plant operation information and water treatment operation information, characterized by predicting the prediction quality of the drainage the method for water processing system according to 25.
[Claim 27]
A second operation data obtaining step of obtaining the wastewater treatment water treatment operation information equipment after feedforward control,
the control step, the obtained water treatment operation information in said second operation data acquisition step based on the control method of the water treatment system of claim 25, wherein the feedback control of the operating conditions of the water treatment
| # | Name | Date |
|---|---|---|
| 1 | 201817002703-FER.pdf | 2019-07-15 |
| 1 | 201817002703-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [23-01-2018(online)].pdf | 2018-01-23 |
| 2 | 201817002703-Correspondence-230818.pdf | 2018-08-28 |
| 2 | 201817002703-STATEMENT OF UNDERTAKING (FORM 3) [23-01-2018(online)].pdf | 2018-01-23 |
| 3 | 201817002703-REQUEST FOR EXAMINATION (FORM-18) [23-01-2018(online)].pdf | 2018-01-23 |
| 3 | 201817002703-OTHERS-230818.pdf | 2018-08-28 |
| 4 | 201817002703-Proof of Right (MANDATORY) [23-01-2018(online)].pdf | 2018-01-23 |
| 4 | 201817002703-8(i)-Substitution-Change Of Applicant - Form 6 [16-08-2018(online)].pdf | 2018-08-16 |
| 5 | 201817002703-POWER OF AUTHORITY [23-01-2018(online)].pdf | 2018-01-23 |
| 5 | 201817002703-ASSIGNMENT DOCUMENTS [16-08-2018(online)].pdf | 2018-08-16 |
| 6 | 201817002703-FORM-26 [16-08-2018(online)].pdf | 2018-08-16 |
| 6 | 201817002703-FORM 18 [23-01-2018(online)].pdf | 2018-01-23 |
| 7 | 201817002703-PA [16-08-2018(online)].pdf | 2018-08-16 |
| 7 | 201817002703-FORM 1 [23-01-2018(online)].pdf | 2018-01-23 |
| 8 | abstract.jpg | 2018-04-06 |
| 8 | 201817002703-FIGURE OF ABSTRACT [23-01-2018(online)].pdf | 2018-01-23 |
| 9 | 201817002703-DRAWINGS [23-01-2018(online)].pdf | 2018-01-23 |
| 9 | 201817002703.pdf | 2018-03-24 |
| 10 | 201817002703-DECLARATION OF INVENTORSHIP (FORM 5) [23-01-2018(online)].pdf | 2018-01-23 |
| 10 | 201817002703-FORM 3 [01-03-2018(online)].pdf | 2018-03-01 |
| 11 | 201817002703-COMPLETE SPECIFICATION [23-01-2018(online)].pdf | 2018-01-23 |
| 11 | 201817002703-Correspondence-020218.pdf | 2018-02-08 |
| 12 | 201817002703-OTHERS-020218-.pdf | 2018-02-08 |
| 12 | 201817002703-OTHERS-020218.pdf | 2018-02-08 |
| 13 | 201817002703-OTHERS-020218-.pdf | 2018-02-08 |
| 13 | 201817002703-OTHERS-020218.pdf | 2018-02-08 |
| 14 | 201817002703-COMPLETE SPECIFICATION [23-01-2018(online)].pdf | 2018-01-23 |
| 14 | 201817002703-Correspondence-020218.pdf | 2018-02-08 |
| 15 | 201817002703-DECLARATION OF INVENTORSHIP (FORM 5) [23-01-2018(online)].pdf | 2018-01-23 |
| 15 | 201817002703-FORM 3 [01-03-2018(online)].pdf | 2018-03-01 |
| 16 | 201817002703-DRAWINGS [23-01-2018(online)].pdf | 2018-01-23 |
| 16 | 201817002703.pdf | 2018-03-24 |
| 17 | abstract.jpg | 2018-04-06 |
| 17 | 201817002703-FIGURE OF ABSTRACT [23-01-2018(online)].pdf | 2018-01-23 |
| 18 | 201817002703-PA [16-08-2018(online)].pdf | 2018-08-16 |
| 18 | 201817002703-FORM 1 [23-01-2018(online)].pdf | 2018-01-23 |
| 19 | 201817002703-FORM-26 [16-08-2018(online)].pdf | 2018-08-16 |
| 19 | 201817002703-FORM 18 [23-01-2018(online)].pdf | 2018-01-23 |
| 20 | 201817002703-POWER OF AUTHORITY [23-01-2018(online)].pdf | 2018-01-23 |
| 20 | 201817002703-ASSIGNMENT DOCUMENTS [16-08-2018(online)].pdf | 2018-08-16 |
| 21 | 201817002703-Proof of Right (MANDATORY) [23-01-2018(online)].pdf | 2018-01-23 |
| 21 | 201817002703-8(i)-Substitution-Change Of Applicant - Form 6 [16-08-2018(online)].pdf | 2018-08-16 |
| 22 | 201817002703-REQUEST FOR EXAMINATION (FORM-18) [23-01-2018(online)].pdf | 2018-01-23 |
| 22 | 201817002703-OTHERS-230818.pdf | 2018-08-28 |
| 23 | 201817002703-STATEMENT OF UNDERTAKING (FORM 3) [23-01-2018(online)].pdf | 2018-01-23 |
| 23 | 201817002703-Correspondence-230818.pdf | 2018-08-28 |
| 24 | 201817002703-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [23-01-2018(online)].pdf | 2018-01-23 |
| 24 | 201817002703-FER.pdf | 2019-07-15 |
| 1 | 2019-07-1111-48-54_11-07-2019.pdf |