Abstract: A device for controlling a regional heat energy supply network for connecting heat sources and customers scattered throughout a region and supplying hot heat or cold heat the device being provided with: a means for forecasting the amount of heat generated by the heat sources and the amount of heat demanded by the customers; and a means for evaluating the amount of energy lost by the heat medium in the regional heat energy supply network. The device for controlling a regional heat energy supply network uses information representing the amount of heat generated the amount of heat demanded and the amount of energy lost by the heat medium to create an operation plan for facilities connected to the regional heat energy supply network so as to minimize the amount of energy consumed in the regional heat energy supply network and controls the facilities on the basis of the operation plan whereby the operation of heat source facilities and transportation facilities is optimized so as to account for the pressure loss and heat radiation loss of the heat medium in an instance in which heat sources and exhaust heat sources are scattered throughout the regional heat energy supply network and it is made possible to reduce the amount of energy consumed across the regional heat energy supply network as a whole.
Description
Title of Invention: DEVICE FOR CONTROLLING REGIONAL HEAT
ENERGY SUPPLY NETWORK
5
Technical Field
[OOO 11
The present invention relates to a control system of a district heat
energy supply network to supply heat energy and cold energy from
10 distributed heat source equipment facilitylexhaust heat sources to distributed
customers that are configured to reduce energy consumption or C02
emissions from heat source equipment and water supply equipment for heat
supplying.
Background Art
15 [OOO2]
As the background art of the technical field of the present invention,
Patent Literature 1, for example, describes a transportation system of a heat
medium that is favorably applicable to a district heating and cooling system
and i s capable of operating automatically and effectively.
20 [0003]
Patent Literature 2 describes a new and improved district heat supply
system, by which energy usage efficiency of a heat source system at a central
plant can be improved and its cost can be lowered, heat transportation power
of the district heat supply piping equipment can be expanded to lower the
25 initial cost and the running cost of the equipment, and the selection of the
equipment on the customer side can be expanded.
[0004]
Citation List
Patent Literatures
Patent Literature 1 : JP 2009-2437 18 A
Patent Literature 2: JP H09-2 1041 3 A
Summary of Invention
5 Technical Problem
[OOOS]
Patent Literature 1 describes a method for operating a heat supply
plant effectively by preoccupying predicted heat load that is calculated based
on the past heat load state, and controlling the heat generation unit based on
10 that. This method, however, considers the case of an intensively-existing
heat generation unit, and this document does not mention any method of
reducing the total energy consumption in the district heat energy supply
network where the heat sources exist in a distributed manner.
[0006]
15 Patent Literature 2 describes a method for cascade-connecting of
goinglreturning pipes to supply heat to a plurality of customer equipment
groups, and supplying heat-source water returned from a customer equipment
group upstream of the cascade connection to a customer equipment group
downstream of the cascade connection. Although this configuration can
20 improve the energy usage efficiency of the central heat source system, this
system also i s a type of using the heat effectively when the heat sources are
provided intensively, and so this document does not mention any method of
reducing the total energy consumption in the district heat energy supply
network where the heat sources exist in a distributed manner.
25 [0007]
Then it is an object of the present invention to provide a method of
optimizing the operation of heat source equipment and water supply
equipment in a large-scale district heat energy supply network including heat
source equipment and exhaust heat sources that exist in a distributed manner,
3
for which heat loss and pressure loss of the heat carrier cannot be ignored,
while considering such loss, thus reducing the energy consumption in the
entire district heat energy supply network.
5 Solution to Problem
[0008]
The present application includes plural means to solve the problems,
and one example thereof includes a control system of a district heat energy
supply network that connects heat source equipment and a customer existing
10 in a district in a distributed manner to supply heat energy or cold energy.
The control system includes: means that predicts an amount of heat generated
at the heat source equipment and an amount of heat demand of the customer;
and means that evaluates an amount of energy loss of a heat carrier in the
district heat energy supply network. An operation plan is created for
15 equipment connected to the district heat energy supply network using
information of the amount of heat generated, the amount of heat demand and
the amount of energy loss of a heat carrier so as to minimize energy
consumption in the district heat energy supply network, and the equipment is
controlled in accordance with the operation plan.
20 [0009]
This application claims the benefit of priority to JP Patent
Application No. 20 12-0 18866 based thereon, the specification and/or the
drawings of which are herein incorporated by reference.
25 Advantageous Effects of Invention
[OOl 01
The present invention can optimize the operation of heat source
equipment and water supply equipment connected to a district heat energy
supply network, including heat source equipment and customers that exist in
4
a distributed manner in the district, while considering the heat loss and the
pressure loss of the heat carrier, thus reducing energy consumption and C02
emissions from the entire district heat energy supply network.
[OOl 11
5 Problems, configurations, and advantageous effects other than those
described above will be made clear by the following description of
embodiments.
Brief Description of Drawings
10 [0012]
Fig. 1 illustrates an exemplary configuration of a control system of a
district heat energy supply network.
Fig. 2 illustrates inflow and outflow of a heat carrier at a node.
Fig. 3 illustrates Embodiment 1 that is an application example of the
15 control system of a district heat energy supply network 101.
Fig. 4 illustrates exemplary efficiency characteristics of heat source
equipment A301 and heat source equipment B302.
Fig. 5 illustrates an exemplary district heat energy supply network to
supply heat from a plurality pieces of heat source equipment to a plurality of
20 customers.
Fig. 6 illustrates Embodiment 2 that is another application example of
the control system of a district heat energy supply network 101.
Fig. 7 illustrates Embodiment 3 that is still another application
example of the control system of a district heat energy supply network 101.
25 Fig. 8 is a flowchart to find a total amount of heat demand when an
exhaust heat supply source or a natural energy-based heat supply source exist.
Fig. 9 illustrates Embodiment 4 that is a further application example
of the control system of a district heat energy supply network 101.
Fig. 10 illustrates Embodiment 5 that is a still further application
5
example of the control system of a district heat energy supply network 101.
Description of Embodiments
[00 131
5 The following describes embodiments with reference to the drawings.
[OO 141
[Embodiment 11
The present embodiment describes an exemplary control system of
district heat energy supply network and one example of the application
10 thereof.
[00 151
Fig. 1 illustrates one example of a control system of a district heat
energy supply network. The control system of a district heat energy supply
network 101 includes: a heat demand prediction unit 102 that predicts the
15 amount of heat demand of each heat customer in a district heat energy supply
network 109 based on information from the database 107; an exhaust heat
amount prediction unit 103 that predicts the amount of exhaust heat from
each exhaust heat source; and a natural energy-based heat generation amount
prediction unit 11 1 that predicts the heat generation amount using natural
20 energy, and further includes: a heat release/pressure loss evaluation model
creation unit 104 that creates a model with which heat release/pressure loss
in the district heat energy supply network can be evaluated based on
information input by a user 108; a model mathematization unit 110 that
converts the model for the district heat energy supply network created by the
25 heat release/pressure loss evaluation model creation unit 104 to a model
equation for the optimum calculation and creates an equation necessary for
the optimization calculation using the information from the heat demand
prediction unit 102, the cxhaust heat amount prediction unit 103 and the
natural energy-based heat generation amount prediction unit 11 1 ; an optimum
6
calculation unit 105 that optimizes the operation plan for the heat source
equipment and the water supply equipment of a heat carrier so as to minimize
the energy usage in the district heat energy supply network 109 on the basis
of the equation created by the model mathematization unit 110; and a control
5 unit 106 that transmits a control signal to the heat source equipment, the
water supply equipment of the heat source or their control devices so that the
heat source equipment and the water supply equipment of the heat source can
operate in accordance with the operation plan created by the optimum
calculation unit 105. The heat source equipment refers to a heat pump, a
10 boiler, an absorption refrigerator and the like to generate heatlcold energy.
[00 161
The heat demand prediction unit 102 and the exhaust heat amount
prediction unit 103 use past conditions and predicted values relating to dates,
weather, temperatures and the like, historical data on the amount of heat used
15 by each heat customer and the amount of exhaust heat from facility as an
exhaust heat source, information on an operation plan of the facility of each
heat customer or the exhaust heat source during period when operation plan
optimization i s to be executed for the heat source equipmentlwater supply
equipment, which are available from a database 107, and performs prediction
20 by a method such as a multiple regressionlprincipal component analysis or
memory-based reasoning. The natural energy-based heat generation amount
prediction unit 111 uses predicted values of weather conditions such as
weather, temperatures and the amount of solar radiation and uses the
characteristics of the facility to supply natural energy to find the amount of
25 heat generated therefrom. Alternatively, the natural energy-based heat
generation amount prediction unit 11 1 uses the predicted values with weather
conditions and past historical data on outputs under such conditions to
predict the amount of heat generation by a method such as a multiple
regressionlprincipal component analysis or memory-based reasoning.
'7
[0017]
At the heat release/pressure loss evaluation model creation unit 104,
the user 108 inputs information necessary to create a heat release/pressure
loss evaluation model (the information input includes, as for a pipe, the pipe
5 diameter, the heat transfer coefficient, the pipe length and the connection
relationship between pipes, as for heat source equipment, its rated amount of
heat source supply, the output temperature, the characteristics of the heat
source equipment and the rated consumption energy, and as for a customer,
the amount of heat demand and the like as well as other information such as
10 characteristic values of the heat exchanger and the pump and their
installation positions). Input means may be a type of letting a user write a
text-based input or of letting a user input necessary values using a graphical
user interface (GUI) while disposing and connecting components such as
various pieces of equipment.
15 [0018]
The model mathematization unit 110 has a constraint and an objective
function beforehand so as to enable optimization calculation simply by
giving information obtained from the model creation unit 104 thereto and
changing the values of parameters. As one example, Equations 1 and 2
20 show the law of conservation of mass and the law of conservation of enthalpy,
which hold at a node q204 that is a joint of the pipes shown in Fig. 2.
[Math. 11
[Math. 21
[00 191
111 Equations 1 and 2, w, denotes the mass flow rate of a heat carrier
8
flowing out froin the node q204, w~ denotes the mass flow rate of the heat
carrier flowing into the node q204, j denotes the number of a pipe 201, into
which the heat carrier flows out from the node q204, and k denotes the
number of a pipe 202, through which the heat carrier flows into the node
5 q204. The flow directions are indicated by arrows 203. h, denotes
enthalpy flowing out from the node q204, and hf denotes enthalpy flowing
into the node q204. The equations such as law of conversation, which are
conventionally used for optimization calculation, are prepared similarly for
use. The present invention uses the equation with consideration given to
10 loss at pipes in addition to these equations for calculation. Heat loss is
given with the relationship in Equation 3, and pressure loss is given with
Equation 4.
[Math. 31
Q, (PI = ~ ~ ~ ( P ) L ( P()P(IT- , (PI)
15 [Math. 41
&, ( p ) = A x d(p)' 42 x L ( ~ ) - O 29 x w(p)-O 54
[0020]
In Equation 3, p denotes the number of a pipe, QR denotes the amount
of heat release at the pipe, h denotes the heat transfer coefficient of the pipe,
20 d denotes the diameter of the pipe, To denotes the temperature at the outlet
of the pipe, TI denotes the temperature at the inlet of the pipe, and L denotes
the length of the pipe. In Equation 4, APp denotes differential pressure
across the pipe, A denotes the constant of proportion, d denotes the diameter
of the pipe, L denotes the length of the pipe and w denotes the mass flow rate
25 in the pipe. Further using differential pressure APM between the outlet and
the inlet of a pump, which is found using the pressure loss of Equation 4, the
consumed power of the pump will be given as the following Equation 5.
[Math. 51
E', (m) =
B x Urn) x PA(m4)
7, (m) x 7,: (un)
[002 11
Herein, m denotes the number of a pump, E'M denotes the consumed
power of the pump, B denotes the constant of proportion, V denotes the
5 volumetric flow rate, q~ denotes the efficiency of the pump and q~ denotes
the efficiency of the motor. Using these equations, Equation 7, which is the
constraint that gives the relationship between demand and supply of the
amount of heat for conventional optimization calculation of the heat source
equipment operation, is given as Equation 9, and Equation 6, which is the
10 objective function as the overall facility consumption energy as the target of
optimization, is given as Equation 8. The relationship between demand and
supply of the amount of heat includes, in addition to the relationship of the
entire district heat energy supply network shown in Equation 9, constraint
conditions to balance the heat demand from each customer and the amount of
15 heat supplied from a pipe as well
[Math. 61
[Math. 71
[Math. 81
J = E,(i) + E', (m)
[Math. 91
In Equation 6, i denotes the number of heat source equipment, and EF
denotes the consumption energy of the heat source equipment i. In Equation
7, QF denotes the amount of heat supplied from the heat source equipment, 1
denotes a customer, and QD denotes the amount of heat demand of the
5 customer. In Equation 8, m denotes the number of a pump, and E'M denotes
the consumed power of the pump. In Equation 9, QR denotes the amount of
heat release at the pipe. Using these equations, the operation plan can be
optimized for the heat source equipment and the pump with consideration
given to loss at the pipes. Although not shown explicitly, the consumption
10 energy of the heat source equipment in Equation 6 includes those included in
the conventional operation plan optimization for facility as well, such as
start-and-stop cost for the facility. The model mathematization unit 110
creates a constraint and an objective function that are to be used for the
calculations using information that the user 108 inputs at the heat
15 release/pressure loss evaluation model creation unit 104. For instance, as
for Equation 3, the length of pipes and the like, which are setting parameters
for each of the pipe models, are input, whereby the constraint for all of the
pipes is created. Other equations include the definition equation of
enthalpy, the equation of heat exchange, characteristic formulas of the
20 utilities and energy of the heat source equipment. In these equations, values
obtained at the heat demand prediction unit 102, the exhaust heat amount
prediction unit 103, and the natural energy-based heat generation amount
prediction unit 11 1 are input at parts where predicted values are to be input
as parameters, whereby an equation that is used for optimum calculation is
25 created.
[0023]
?'he optimum calculation unit 105 uses the thus obtained constraint
and the objective function by the model mathematizatio~u~n it 110 to execute
optimization calculation. The objective function is the consumptioil energy
11
of the entire heat supply network as the target, and variables of the
optimization include the load factor of the heat source equipment, 0-1
variables indicating ON and OFF, the mass flow rate of the piping network
(or pressure at each pipe joint). Optimization for the entire system is
5 performed while considering those targeted at the load factor and ON-OFF
only as in conventional techniques as well as the optimization of the mass
flow rate, heat release given with Equation 3 and the consumption energy of
the pump given with Equation 5. This optimization problem is a non-linear
programming problem because Equation 3 and the equation described below
10 are non-linear, and means to find the solution may be an analytical approach
or a metaheuristics approach such as genetic algorithm or simulated
annealing. When it is substantially linearizable, a linear programming
method may be used.
100241
15 Fig. 3 illustrates Embodiment 1 that is an application example of the
control system of a district heat energy supply network 101 according to the
present invention. Heat source equipment A301 and heat source equipment
B302 generate hot water, and the hot water i s supplied to a customer 303 via
a supplying piping network 305. Then, the system is configured so that hot
20 water after use passes through a return piping network 306 to return to the
heat source equipment A301 and the heat source equipment B302
(Embodiment 1 assumes that consumption energy by a pump 304 is
sufficiently smaller than those of the heat source equipment A and B).
Fig. 4 illustrates efficiency characteristics of the heat source
25 equipment A301 and the heat source equipment B302. Load factors x l and
x2 are ratios of heat load Q1 and Q2 applied to these pieces of' equipment to
the maximum heat load amounts (both called QMAXa) pplied to the pieces of
equipment. When two pieces of equipment different in efficiency are used
ill this way, which may have the same value of the total amount of heat
12
supplied although, the overall consumptioil energy will differ with how to
take the output from the pieces of equipment. In the case of simple
operation optimization of heat source equipment without considering the
influences of the piping network (having ON-OFF and the load factor of the
5 heat source equipment as optimization variables), and when the amount of
heat of Q is required, for example, the combination of Q1 and Q2 minimizing
the energy can be found using Equation 7. This is set as a(401) and P(403)
in Fig. 4 (a+P=Q).
[0025]
10 However, if heat release from piping cannot be ignored, let that the
amount of heat release at the piping networks 305 and 306 is AQ, then the
amount of heat corresponding to AQ has to be compensated for with the heat
source equipment A301 and the heat source equipment B302 for the demand
Q of the customer 303. Then, the total amount of heat demand Q,,,t becomes
15 Q+AQ. In such a case, some of the equipment as a target of the operation
plan optimization is used as an automatic follow-up device of the load to
compensate for the shortage. In this case, let that the heat source equipment
B plays the role. Then, the amount of heat supplied at the heat source
equipment B302 shifts from P(403) to P1(404). In this case, however, as can
20 be understood from Fig. 4, this operation results in just a slight increase in
the efficiency of the heat source equipment B. On the other hand, when this
amount of heat is compensated for with the heat source equipment A, then
the operation point shifts from a(401) to a1(402). In this case, since the
efficiency of the heat source equipment A increase more, it can be understood
25 that the sum of the energy consumption amount of the heat source equipment
A and B decreases compared with the compensation with the heat source
equipment B. Especially as illustrated in Fig. 5 , in the case of a piping
network 501 configured so that a plurality of customers and a plurality of
pieces of heat source equipment exist and the flow cannot be decided
13
uniquely, the amount of heat release will differ with the flow, which cannot
be dealt with the conventional techniques.
COO261
On the other hand, the control system of a district heat energy supply
5 network 101 of the present invention has a feature of considering such heat
release. Using Equation 9, calculation can be performed so as to include
the amount of heat release at the flow path and its route, and so optimization
is enabled considering the heat release. Specifically describing of the
objective function means the consumption energy in the entire system, and so
10 Equation 10 can be obtained. Herein, EA denotes consumption energy of the
heat source equipment A, and Eg denotes consumption energy of the heat
source equipment B.
[Math. 101
E=EA +E,
15 [0027]
In the case of Embodiment 1, the amount of heat demand Q,,,t will be
represented with Equation 11. QA denotes the amount of heat supplied from
the heat source equipment A, QB denotes the amount of heat supplied from
the heat source equipment B, and AQ denotes the amount of heat release.
20 [Math. 111
Q,,,, =QA +Q, +AQ
[0028]
The optimization calculation performed under these conditions can
lead to energy-saving operation with considering heat loss in the piping
25 network. In the present embodiment, the combination of a'(402) and P(403)
will be selected as the operation point of the heat source equipment.
[0029]
[Embodiment 21
Fig. 6 illustrates Eillbodiinent 2 that is another application exaillple of
14
the control system of a district heat energy supply network 101 according to
the present invention. Herein a pump a601 and a pump b602 define the
mass flow rate to their corresponding heat source equipment. This means
that the transportation power of the pump varies with a change of the mass
5 flow rate. Let that the amount of heat generated at heat source equipment
A301 is QA, the efficiency thereof i s q ~th,e energy used is EA, the amount of
heat generated at heat source equipment B302 is QB, the efficiency thereof is
q ~an,d the energy used is Eg. Then, EA and EB can be represented with the
following Equation 12.
10 [Math. 121
[0030]
Electricity of the pump will be represented using Equation 4 and
Equation 5.
15 [0031]
Using these equations, the overall electricity consumption in the
district heat energy supply network illustrated in Fig. 6 can be represented
with the following Equation 13. Herein, E,' denotes the energy used of the
pump A and Eb' denotes the energy used of the pump.
20 [Math. 131
E = E, + E , +E1,+E',,
[0032]
This value is set as the objective function to be minimized, and the
operation plan is established by the optimum calculation unit 105 using the
25 mass flow rate of each piping network, load factors and ON-OFF variables (0
or 1 ) of the heat source equipment as variables similarly to Embodiment 1,
thereby enabling energy-saving operation.
[0033]
15
[Embodiment 31
Fig. 7 illustrates Embodiment 3 that is still another application
example of the control system of a district heat energy supply network 101
according to the present invention. An exhaust heat source 701 is provided
5 in addition to heat source equipment A301, and heat is supplied to the piping
of the district heat energy supply network via a heat exchanger 702. A
pump 703 defines the mass flow rate flowing into the heat exchanger 702,
and a valve 704 and a valve 705 are provided to designate into which one of
the piping networks of a supply piping network 305 and a return piping
10 network 306 the heat carrier receiving heat supplied from the exhaust heat is
sent.
LO0341
At this time, the exhaust heat amount prediction unit 103 of the
control system of a district heat energy supply network 101 predicts the
15 temperature of exhaust heat at the exhaust heat source 701. Then
comparison is made with the temperature of hot water output from the heat
source equipment A301, and i f the predicted temperature is higher than that,
the valve 704 is opened and the valve 705 is closed, whereby heat is supplied
to the supply piping network 305. If the temperature at the outlet of the
20 heat exchanger 702 is low, and so it cannot be higher than the temperature of
hot water output from the heat source equipment A301 but can be higher than
the temperature of hot water in the return piping network 306, then the valve
704 is closed and the valve 705 is opened, thus supplying heat. If the
temperature of hot water in the return piping network 306 cannot be
25 increased, the mass flow rate of the pump 703 is made 0, and both of the
valve 704 and the valve 705 are closed. This allows the effective usage of
the exhaust heat when the exhaust heat of the exhaust heat source 701 exists
in a distributed manner, whereby energy-saving operation can be achieved.
[003 51
16
Fig. 8 is a flowchart of the specific calculation method thereof. This
flowchart starts with the evaluation of the amount of heat demand Q' of the
customer (S801), followed by evaluation of the amount of exhaust heat Qd
(S802) and evaluation of the amount Q,, of heat supplied by natural energy
5 (S803). Finally, the amount of exhaust heat Qd and the amount Q,, of heat
supplied by natural energy are subtracted from the amount of heat demand Q'
of the customer, thus finding the net amount of heat demand QIlet (S804).
When the amount of heat demand Q' considering heat release as well is given
with the similar equation of Equation 9, the amount of exhaust heat Qd is
10 subtracted from this based on this flowchart, and the resultant is set as the
total amount of heat demand Qnet. Thereafter, the optimization calculation
similar to Embodiments 1 and 2 may be performed, whereby the solution can
be found.
[0036]
[Embodiment 41
Fig. 9 illustrates Embodiment 4 that is a further application example
of the control system of a district heat energy supply network 101 according
to the present invention. Herein, a natural energy-based heat source 901 is
provided in addition to heat source equipment A301, and heat is supplied to
20 the piping of the district heat energy supply network via a heat exchanger
702. A pump 703 defines the mass flow rate flowing into the heat
exchanger 702, and a valve 704 and a valve 705 are provided to designate
into which one of the piping networks of a supply piping network 305 and a
return piping network 306 the heat carrier receiving heat supplied from the
25 natural energy is sent.
[0037]
At this time, the control system of a district heat energy supply
network 101 reads weather forecast and historical data so far from the
database 107, and predicts the temperature of hot water generated based 011
17
that. Comparison is made with the temperature of hot water output from the
heat source equipment A301, and if the predicted temperature is higher than
that, the valve 704 i s opened and the valve 705 is closed, whereby heat is
supplied to the supply piping network 305. If the temperature of the heat
5 carrier heated by natural energy i s low or the temperature thereof cannot be
higher than the temperature of hot water output from the heat source
equipment A301 but can be higher than the temperature of hot water in the
return piping network 306, then the valve 704 is closed and the valve 705 is
opened, thus supplying heat. If the temperature of hot water in the return
10 piping network 306 cannot be increased, the mass flow rate of the pump 703
is made 0, and both of the valve 704 and the valve 705 are closed. This
allows the effective usage of the exhaust heat when the natural energy-based
heat source 901 exists, whereby energy-saving operation can be achieved.
[003 81
15 The specific calculation is performed in the procedure of the
flowchart illustrated in Fig. 8 similarly to Embodiment 3.
[0039]
[Embodiment 51
Fig. 10 illustrates Embodiment 5 that is a still further application
20 example of the control system of a district heat energy supply network 101
according to the present invention. A piping network 1024 to supply heat
energy or cold energy and a return piping network 1025, through which a
heat carrier after use by a customer returns, are provided, between which
heat supply equipment 1001 and 1004, an exhaust heat supply source 1005,
25 natural energy-based heat supply equipment 1002 and 1006, heat customers
1003 and 1007 exist. A heat carrier is supplied to the equipment via water
supply equipment 101 7 to 1023. Heat supplied from the exhaust heat and
natural energy is given to the supply piping network 1024 or the rcturn
piping network 1025 by heat exchangers 1014 to 1016, and their switching is
18
performed by valves 1008 to 101 3.
[0040]
In this way, in the case of equipment existing in a distributed manner
as well, similarly to Embodiment 1, the heat releaselpressure loss evaluation
5 model creation unit 104 creates a model of this heat supply system, the heat
demand prediction unit 102 predicts heat demand of the customers 1003 and
1007, and the exhaust heat amount prediction unit 103 predicts the amount of
exhaust heat at the exhaust heat supply source 1005. Then, based on such
information, the model mathematization unit 11 0 mathematizes the model,
10 and the optimum calculation unit 105 creates the operation plan to optimize
ON-OFF and load factors of the heat supply equipment 1001 and 1004, the
mass flow rate of the water supply equipment 1017 to 1023 and the mass
flow rate of the valves 1008 to 1013, whereby the mass flow rate and the
temperature of the heat carrier at each piping network of the supply piping
15 network 1024 and the return piping network 1025 can be designated, and the
total consumption energy of the district heat energy supply network can be
minimized.
All publications, patents, and patent applications cited herein are
incorporated herein by reference in their entirety.
20
Reference Signs List
[0041]
101 control system of a district heat energy supply network
102 heat demand prediction unit
25 103 exhaust heat amount prediction unit
104 heat releaselpressure loss evaluation model creation unit
105 optimum calculation unit
106 control unit
107 database
108 user
109 district heat energy supply network
11 0 model mathematization unit
11 1 natural energy-based heat generation amount prediction unit
5
Claims
1. A control system of a district heat energy supply network that connects
heat source equipment and a customer existing in a district in a distributed
5 manner to supply heat energy or cold energy, comprising:
means that predicts an amount of heat generated at the heat source
equipment and an amount of heat demand of the customer; and
means that evaluates an amount of energy loss of a heat carrier in the
district heat energy supply network, wherein
10 an operation plan is created for equipment connected to the district
heat energy supply network using information of the amount of heat
generated, the amount of heat demand and the amount of energy loss of a
heat carrier so as to minimize energy consumption in the district heat energy
supply network, and the equipment is controlled in accordance with the
15 operation plan.
2. The control system according to claim 1, wherein
the amount of energy loss of a heat carrier includes heat loss due to
heat release and pressure loss.
20
3. The control system according to claim 2, wherein
the heat source equipment includes heat source equipment based on
natural energy such as solar heat or geothermal heat or exhaust heat.
25 4. The control system according to claim 3, wherein
the equipment as a control target in accordance with the operation
plan includes a heatlcold energy producing device or equipment that
generates heat energy or cold energy, equipment to transport a heat carrier,
or equipment to adjust flow rate of a heat carrier.
2 1
5. The control system according to claim 4, wherein
a method for controlling the equipment includes to control ONIOFF or
adjust load factors for the heatlcold energy producing device or equipment
5 that generates heat energy or cold energy, to control ONIOFF or adjust
transportation flow rate for the equipment to transport a heat carrier, and to
adjust flow rate for the equipment to adjust flow rate of a heat carrier.
6. The control system according to claim 5, wherein
10 adjustment of flow rate of the heat carrier includes to adjust a heat
carrier that is emitted from heat source equipment by natural energy such as
solar heat or geothermal heat, about to which of piping networks including a
supply piping network and a return piping network for coldlheat energy the
heat carrier is to be sent out, and to control ONIOFF to stop the flow thereof.
15
Dated this 2 5 t h Day of July 2014
Of Anand And Anand Advocates
Agents for the Applicant
| # | Name | Date |
|---|---|---|
| 1 | Form 5.pdf | 2014-08-01 |
| 2 | Form 3.pdf | 2014-08-01 |
| 3 | 304.pdf | 2014-08-01 |
| 4 | 15682-384_CS.pdf | 2014-08-01 |
| 5 | Form 13.pdf | 2014-08-08 |
| 6 | 6295-DELNP-2014.pdf | 2014-08-23 |
| 7 | 6295-DELNP-2014-Power of Attorney-051114.pdf | 2014-12-02 |
| 8 | 6295-DELNP-2014-OTHERS-051114.pdf | 2014-12-02 |
| 9 | 6295-DELNP-2014-Form 1-051114.pdf | 2014-12-02 |
| 10 | 6295-DELNP-2014-Correspondence-051114.pdf | 2014-12-02 |
| 11 | 6295-delnp-2014-Form-3-(21-01-2015).pdf | 2015-01-21 |
| 12 | 6295-delnp-2014-Correspondance Others-(21-01-2015).pdf | 2015-01-21 |
| 13 | 6295-DELNP-2014-FER.pdf | 2018-12-01 |
| 14 | 6295-DELNP-2014-OTHERS [01-03-2019(online)].pdf | 2019-03-01 |
| 15 | 6295-DELNP-2014-FORM 3 [01-03-2019(online)].pdf | 2019-03-01 |
| 16 | 6295-DELNP-2014-FER_SER_REPLY [01-03-2019(online)].pdf | 2019-03-01 |
| 17 | 6295-DELNP-2014-DRAWING [01-03-2019(online)].pdf | 2019-03-01 |
| 18 | 6295-DELNP-2014-COMPLETE SPECIFICATION [01-03-2019(online)].pdf | 2019-03-01 |
| 19 | 6295-DELNP-2014-CLAIMS [01-03-2019(online)].pdf | 2019-03-01 |
| 20 | 6295-DELNP-2014-certified copy of translation (MANDATORY) [01-03-2019(online)].pdf | 2019-03-01 |
| 21 | 6295-DELNP-2014-ABSTRACT [01-03-2019(online)].pdf | 2019-03-01 |
| 22 | 6295-DELNP-2014-OTHERS-130319.pdf | 2019-03-15 |
| 23 | 6295-DELNP-2014-Correspondence-130319.pdf | 2019-03-15 |
| 24 | 6295-DELNP-2014-PatentCertificate31-07-2019.pdf | 2019-07-31 |
| 25 | 6295-DELNP-2014-IntimationOfGrant31-07-2019.pdf | 2019-07-31 |
| 26 | 6295-DELNP-2014-RELEVANT DOCUMENTS [12-03-2020(online)].pdf | 2020-03-12 |
| 27 | 6295-DELNP-2014-RELEVANT DOCUMENTS [17-08-2021(online)].pdf | 2021-08-17 |
| 1 | 6295-delnp-2014_18-05-2018.pdf |