Field of the Invention

In general, this invention relates to the field of providing reliable power to a cell tower in an efficient way. More specifically, this invention relates to an automated energy management method and system for a telecommunication site.

Background of the Invention

The reliability of telecommunication systems that users have come to expect and depend on is based, in part, on the systems' reliance on redundant equipment and power supplies. Telecommunication switching systems, for example, route tens of thousands of calls per second. The failure of such systems, due to, for instance, the loss of incoming AC power, may result in a loss of millions of telephone calls and a corresponding loss of revenue.
Traditionally, the AC power from a commercial utility has been used as a primary source of electrical power. Telecommunications power systems have included backup power arrangements which attempt to ensure continued power in the event of black-outs and other disturbances in the commercial power grid. To accomplish this, a diesel generator (DG) is often used as a backup power source and is backed up by an array of lead acid batteries and like, for example valve-regulated lead-acid (VRLA) batteries. The DG set will be used to charge the VRLA batteries as well as power the load. When the VRLA battery is fully charged, the DG is shut-off and the load is made to run on the VRLA batteries. This set up is currently used in the off-grid solution i.e. when the set up is able to operate without any grid connectivity.
In off-grid sites, currently VRLA batteries offer a secondary backup solution. Without the backup, DG sets will be forced to run long time which reduces its life. Secondly, lack of back up substantially increases diesel consumption which increases the running costs of the operator. In view of these reasons, a secondary backup is an integral part of the conventional cell site energy management solution.

These conventional secondary backup solutions, however, has its limitations. Primarily, the VRLA batteries cannot be charged quickly. Hence, the DG set needs to run for long time operating at very low load. However, DG's extremely inefficient at low loads and due to same they consume a lot of fuel, to generate very little power. This leads to significant increase in the operational expenditure. So, even though the use of VRLA backup reduced some of the operating costs as noted in the preceding paragraph, it does not solve the problem optimally.
In addition, VRLA batteries have several other disadvantages. The VRLA battery life decreases sharply with higher depths-of-discharge. Hence to get required backup from the battery, operators have to oversize the battery. Additionally, VRLA energy density is quite poor and therefore operators are forced to build cell sites with a large storage space for the VRLA battery. The life of VRLA batteries is temperature sensitive. In a tropical country like India, 35° C temperatures are quite common inside cell-site shelter. This forces the operator to choose between two losing propositions (i) to either use of Air Conditioners which increase the diesel costs, and/or (ii) operating without Air Conditioners which drastically reduces the life of the battery.

In a typical off-grid site, operators have to run the DG set for nearly 15-20 hours with VRLA batteries provide power for the remaining hours. Roughly 30-40 Liters of Diesel is consumed every day at an off-grid cell site.

Also, at present, automation of cell sites has been done via the use of Power Management Unit (PMU), Energy Management Controllers, etc. However, in all these scenarios, the primary benefit came from the cell site automation and not energy optimization, in the existing arts, the use of automation is focused on switching between three sources of energy example Grid, Diesel Generator/Micro-Turbine and VRLA batteries.

However, the focus on the energy optimization based on the energy sources. Also, the apparatus switches to the cheapest energy source and use this energy source to power all the energy sinks. If the instantaneous power that can be delivered by the cheapest source cannot meet the cell site demands, then the next cheapest source is used. In such scenarios, the energy being generated by the cheapest energy source is unused and consequently wasted.
Much of this consumption can be attributed to the limitations of the DG and the limitations of the VRLA battery. Further, the optimization of the sources would lead to alter the available energy sources but not focused on the energy saving. Thus, there is a strong need for a method and/or system for minimizing the DG fuel consumption with reduced size and weight of the battery while still providing sufficient back-up power to accommodate any necessary routine(s).

Further, the cell towers are managed sub-optimally due to the need of human intervention for many aspects of cell site energy management. This leads to significant resource abuse and consequently results in higher operating expenditure. Also there is a need for a better optimization mechanism which overcomes the limitation of the existing arts.

Summary of the Invention

The following presents a simplified summary of one or more embodiments in order to provide a basic understanding of such embodiments. This summary is not an extensive overview of all contemplated embodiments, and is intended to neither identify key or critical elements of all embodiments nor delineate the scope of any or all embodiments. Its sole purpose is to present some concepts of one or more embodiments in a simplified form as a prelude to the more detailed description that is presented later.

In accordance with one aspect of the present invention is an automated energy management method for a telecommunication site, the method comprising: obtaining information of benefit and cost parameters associated with the plurality of source and sink available at the site, obtaining the site parameters including shelter temperature, battery voltage, load current lighting, air conditioners, base transceiver etc, optimizing the cost and benefit in order to identify the right sources and the sinks in the site, so that the power drawn from the sources that are most economical and fed to sinks which offer the highest benefits and driving the source and sink accordingly in the site, automatically.

In another aspect of the present invention is an automated energy management system for a telecommunication site, the method comprising, a plurality of power source to power the telecommunication site, and a Energy Management Controller (EMC) including a control circuitry configured to the plurality of power source, and wherein the control circuitry is configured to control the multiple energy sources to deliver power to multiple energy sinks in order in order to reduce the operational expenditure and to improve the utilization of the available power sources.

The foregoing has outlined rather broadly the features and technical advantages of the present invention so that those skilled in the art may better understand the detailed description of the invention that follows. Additional features

and advantages of the invention will be described hereinafter that form the subject of the claims of the invention. Those skilled in the art should appreciate that they may readily use the conception and the specific embodiment disclosed as a basis for modifying or designing other structures for carrying out the same purposes of the present invention. Those skilled in the art should also realize that such equivalent constructions do not depart from the spirit and scope of the invention in its broadest form.

Before undertaking the detailed description of the invention below, it may be advantageous to set forth definitions of certain words and phrases used throughout this patent document: the terms "include" and "comprise," as well as derivatives thereof, mean inclusion without limitation; the term "or," is inclusive, meaning and/or; the phrases "associated with" and "associated therewith," as well as derivatives thereof, may mean to include, be included within, interconnect with, contain, be contained within, connect to or with, couple to or with, be communicable with, cooperate with, interleave, juxtapose, be proximate to, be bound to or with, have, have a property of, or the like; and the term "controller" means any device, system or part thereof that controls at least one operation, such a device may be implemented in hardware, firmware or software, or some combination of at least two of the same. It should be noted that the functionality associated with any particular controller may be centralized or distributed, whether locally or remotely. Definitions for certain words and phrases are provided throughout this patent document, those of ordinary skill in the art should understand that in many, if not most instances, such definitions apply to prior, as well as future uses of such defined words and phrases.

Brief description of the drawings

For a more complete understanding of the present invention, and the advantages thereof, reference is now made to the following descriptions taken in conjunction with the accompanying drawings, wherein like numbers designate like objects, and in which:

Figure 1 illustrates the functional block diagram of an automated energy management system for a telecommunication site according to one embodiment of the present invention.

Figure 2 shows a graph between the DG Set fuel consumption and the power generated by DG Set according to one embodiment of the present invention.

Figure 3 shows a flow chart of an automated energy management method for a telecommunication site according to one embodiment of the present invention.

Figure 4 illustrates one embodiment of a suitable computing environment in which certain aspects of the invention illustrated in Figure 1 and 3 may be practiced.
Persons skilled in the art will appreciate that elements in the figures are illustrated for simplicity and clarity and may have not been drawn to scale. For example, the dimensions of some of the elements in the figure may be exaggerated relative to other elements to help to improve understanding of various exemplary embodiments of the present disclosure.
Throughout the drawings, it should be noted that like reference numbers are used to depict the same or similar elements, features, and structures.

Detail Description of the Invention

In the following detailed description of the preferred embodiments, reference is made to the accompanying drawings that form a part hereof, and in which are shown by way of illustration specific embodiments in which the invention may be practiced. It is understood that other embodiments may be utilized and structural changes may be made without departing from the scope of the present invention.

The leading digit(s) of reference numbers appearing in the Figures generally corresponds to the Figure number in which that component is first introduced, such that the same reference number is used throughout to refer to an identical component which appears in multiple Figures. The same reference number or label may refer to signals and connections, and the actual meaning will be clear from its use in the context of the description.
The features, structures, or characteristics of the invention described throughout this specification may be combined in any suitable manner in one or more embodiments. For example, reference throughout this specification to "certain embodiments," "some embodiments," or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrases "in certain embodiments," "in demonstrative embodiments," "in some embodiment," "in other embodiments," or similar language throughout this specification do not necessarily all refer to the same group of embodiments and the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

The drawings of Figures 1-4 help in understanding the disclosed embodiment. Referring first to Figure 1, the figure shows Automated Energy Management System in which the present invention, in one embodiment, may be employed.

It should be understood that it is very important that power should not be lost to the Telecommunication equipment-even temporarily. Failure would irrevocably damage customer relations. Customers are becoming increasingly dependent on telecommunications systems to handle important matters e.g. financial transactions. The system here dramatically reduces the possibilities of failure, maintenance costs, operational expenditure, space requirements, cooling requirements etc.

Looking to Figure 1 shows the functional block diagram of an automated energy management system for a telecommunication site, according one embodiment of the present invention. The Energy Management System 100 including one or more power sources including Diesel Generator (DG) Set 110, Grid 120, solar energy 130, wind energy 140, VRLA batteries 150 etc.

The Energy Management System further including a Energy Management Controller (EMC) 160 including a control circuitry (not shown in figure) configured to check the availability status of the power source, and wherein the control circuitry is configured to control the switching of the at least one power sources to FCED battery 170 in order to reduce the operational expenditure and improve the utilization of the available power sources.

The Energy Management Controller (EMC) 160 is coupled to DG set and FCED batteries, wherein the DG set is configured for charging the FCED battery for a minimum amount of time to enable the FCED battery to provide DC electric power for maximum amount of time to telecommunication equipment 190 of the telecommunication site thereby reducing the DG fuel consumption.

The Energy Management System further including an air conditioner 180 coupled to the EMC for dehumidifying and extracting heat from the telecommunication site. The Energy Management System is further coupled to telecommunication equipment 190 which facilitates wireless communication between user equipment (UE) and a network. UEs are devices like mobile phones (handsets), WLL phones, computers with wireless internet connectivity, Wi-Fi and WiMAX gadgets etc. The network can be that of any of the wireless communication technologies like GSM, CDMA, WLL, WAN, Wi-Fi, WiMAX etc. The telecommunication equipment is also referred to as the radio base station (RBS), node B (in 3G Networks), E-node B (in LTE Networks) or, simply, the base station (BS) or a Base Transreceiver (BTS) or any kind thereof.

The Energy Management System 100 further including a conversion device (not shown in figure) for converting power from an alternating current (AC) source and into direct current (DC). The conversion device is a rectifier or an array of rectifiers (e.g. a switched-mode power supply) which converts alternating current (AC), periodically in reverses direction, to direct current (DC). Rectifiers have many uses including as components of power supplies and as detectors of radio signals. Rectifiers may be made of solid state diodes, vacuum tube diodes, mercury arc valves, and other components.

In an operation, the diesel generator set is used to rapidly charge the FCED batteries. The FCED batteries has the capability of rapid charge and the battery pack can be charged from 0-100% in predetermined amount for example between the range of 10 minutes to 120 minutes . The battery maintains or includes a battery management system which monitors the state of charge (SOC). As the state of charge approaches 100%, the diesel generator set is shut off using automatically without any human intervention. The battery is getting charged with the help of diesel generator, where the diesel generator is also used to power the telecommunication equipment. In another aspect, the battery may also get charge from at least one but not limited to solar energy and wind energy.

Once the SOC reaches 100%, the system shifts to FCED battery which is used for driving the telecommunication equipment. Based on the power considerations, the FCED battery can drive the telecommunication equipment till the capacity reaches a predetermined state of charge (example 20%). The electronic circuitry monitors the state of charge (SOC) which automatically switches on the diesel generator set as the SOC approaches 0%.
The life of the FCED batteries is 3000-1 million cycles as opposed to 1500 cycles of a conventional VRLA battery. In addition to this, FCED batteries are less sensitive to temperature fluctuations. With this kind of property, it is also possible to
build telecommunication equipment shelters without Air Conditioners which lead to reduce the overall operational expenditure.

In an example embodiment, in a 360 minutes interval, the FCED battery is operating for 270 minutes while the DG set is running for only 90 minutes. For a completely off-grid solution, the DG set runs for only 240 minutes in a day. Compared to the conventional VRLA solution, the present FCED battery with the system set up offers 66% lower operational expenditure.
The DG set depreciation and maintenance is directly proportional to the number of hours of DG set operations. Since the proposed solution manages with 33% run-time of the DG set, there is a 66% saving in the maintenance costs.

The FCED batteries can be charged and discharged very quickly. Therefore batteries need not be over sized like the VRLA batteries. This feature can be used to optimize the battery on a per cell site basis. This reduces the capital expenditure invested into the battery, the space requirements and the cooling requirements.

In the present system, the central Energy Management Controller (EMC) is used in tandem with the DG set, FCED batteries, battery management system and other sources of energy in order to optimize the use of a particular form of energy. The use of the Energy Management Controller further reduces the overall energy requirements. This unit also optimizes the use of Air Conditioners and Fans thereby minimizing DG runs.

In an example, considering a cell site environment where cooling is required either by Air conditioner or by Fan. Usually, Air conditioners consume lot of energy and its use needs to be minimized. On the other hand, a Fan consumes less amount of energy as compared with Air conditioners. Suppose that the temperature of the room environment is steadily rising and outside temperature is steadily falling.

The Energy Management Controller (EMC) of the present system is capable of calculating the amount of irradiation falling (by gathering the statistics from the solar panels), obtaining information about the ambient temperature using sensors etc. Based on the above information, it may be possible in some scenarios for the EMC to not use Air conditioners and instead turn on the fan to cool the environment or the room. Furthermore, in some scenarios it is possible to run the site without Air conditioners, since the performance of FCED batteries are less sensitive to temperature fluctuations. Due to same, the present system reduces the fuel consumption costs associated with the battery. Diesel Generator (DG) Set fuel consumption and the power generated by DG Set is explained below with the help of a graph (in Figure 2).

In addition to the above, the EMC of the present system is further coupled to a plurality of sensors for calculating the amount of irradiation falling from the solar panels, monitoring fuel availability of the DG tank, monitoring the power generated by the DG, monitoring the power consumed by the load and also gathering information about the ambient temperature to optimize the use of Air conditioning and fans inside the telecommunicate site. Further, the EMC is capable of managing the amount of DG run time, the amount of solar panel use and the amount of wind energy use, in order to optimize the energy flow in the Telecommunication equipment.

In another embodiment of the present invention, the system includes a plurality of power source to power the telecommunication site, and a Energy Management Controller (EMC) including a control circuitry configured to the plurality of power source, and where the control circuitry is configured to control the multiple energy sources to deliver power to multiple energy sinks in order in order to reduce the operational expenditure and to improve the utilization of the available power sources.

The EMC wherein the EMC is configured for obtaining information of benefit and cost parameters associated with the plurality of source and sink available at the site, obtaining the site parameters including shelter temperature, battery voltage, load current lighting, air conditioners, base transceiver etc, storing the information of benefit and cost parameters, site parameters etc in a database, optimizing the cost and benefit in order to identify the right sources and the sinks in the site, so that the power drawn from the sources that are most economical and fed to sinks which offer the highest benefits and driving the source and sink accordingly in the site, automatically.

The EMC optimizes mathematically which is given by the expression,
wherein BPQ denotes the benefit associated with using a particular energy sink, CPGi denotes the cost of using power source /' generating 1kWh of energy, and Pj denotes the amount of power drawn from a particular source of power.

Cost of Power Generation (CPG)

The EMC maintains a cost for power generation based on the source on a per kWh basis. This cost is programmable. The goal of the EMC is to minimize the overall run cost.
The cost of power generation for each source is static for all sources with the exception of the battery: Typically, the battery cost is very high when it is not charged and very small when it is fully charged.

The cost of power generation from renewable sources such as Solar/Wind is zero.

Benefit of Power Consumption (BPC)

The EMC maintains a benefit number for every sink of power. This number represents the benefit associated with a particular sink being provided with power (i.e., the power is NOT on a per kWh basis like CPG). This benefit number is programmable. The goal of the EMC is to maximize the benefit associated with power consumption.

The benefit number can be dynamically programmed.

Examples:

The benefit of using an Air Conditioner is higher when the room temperature is higher and low when the room temperature is low.

The benefit of charging a battery is very high when the battery is uncharged and zero when it is fully charged.

With active infrastructure sharing, it may be possible to turn off some BTS equipments during night times, when the traffic is very low.

In an example operation, considering there are constraints associated with various power sources that needs to be honored by the EMC. In other words, a solution to the optimization problem is valid ONLY if the constraints associated with the power sources are met. The EMC needs to search for the optimal solution among valid solutions. Examples of such constraints are a 15 kVA DG should not be used beyond 85% load. This implies that the maximum DC power generated by the DG (after accounting for load factor) can be no more than 10 kW. Secondly, the grid cannot offer more power than 12 kW. The solar/Wind energy sources cannot offer more power that what is being instantaneously generated.
Mathematically, these constraints can be modeled as follows.

This is saying that every energy source has a peak power constraint that needs to be honored while solving the optimization problem.

To see how this constraint works, consider the following examples.
Grid power may be the cheapest energy source at a given time. However grid may not be available at that instant. Therefore, at that instant, Pmax should be set to 0. This ensures that any valid solution to the optimization problem does not include power to be drawn from the grid.

Similarly, in solar installations, no energy can be expected from Solar panels at night times. Consequently, Pmax associated with solar panels are set to 0 during night hours. Therefore, the valid solutions to the optimization problem will not include power to be drawn from solar panels.

Every CPG and BPC value is known at the time of solving optimization problem, the CPG associated with the DG depends on the power drawn. Therefore calculating the power required from the DG/Fuel cell is trickier to handle. However, the proposed solution is a iterative solution that starts from the least expensive sources of energy. Since DG/Fuel cell are the most expensive energy resources independent of the power drawn, these sources is ALWAYS considered in the very end. This simplifies the solution to the optimization problem. The peak power limitations are obtained either by register values (in case of DG/Grid limitations) or via measurement (instantaneous power generated by the Solar Panels/ Is grid power available)
The power from the cheapest energy source is taken and offered to the sink that offers most benefit. If the power source is not powerful enough to power the sink (based on the constraint) then, the power source is used to power the next most beneficial sink. This is continued until the power source is completely used up. The power source and the sink(s) that it is powering are removed from the list. The next cheapest source and the most beneficial sink are considered and the algorithm is repeated. The DG/Fuel cells are considered in the very end, since they are the most expensive energy sources. If all the sinks have been powered by other sources (i.e., the list of unpowered sinks is empty), then DG/Fuel cell does not have to be turned on and the optimization problem is solved. If there are some sinks that are still unpowered, then the set of sinks that needs to be powered by the DG are identified. The total amount of power required by the sinks is calculated. The amount of power drawn from the DG is matched with the total power sinks require.

Looking to Figure 2 illustrate a graph between the Diesel Generator (DG) Set fuel consumption and the power generated by DG Set according to one embodiment of the present invention. As shown in the figure, the DG set consumes a non-zero amount of fuel to idle (i.e. running without powering a load). This fuel consumption is typically around 1.2 Liters/Hour. To generate power, DG set consume an additional 0.24 Liters/Hour per Kilo Watt (kW) of power to be generated.

In a typical telecommunication setup, charging a 300Ah, 54 V conventional batteries like VRLA battery requires only 1.5 kW of Power. On the other hand, a FCED battery can be charged at a much higher rate. Charging a 100Ah, 48V FCED battery requires close to 7.5 kW of power.
Consider the conventional VRLA battery used in the setup, the charging requires 1.5kW of power. The DG fuel consumption to charge the battery will be 1.56 Liters/Hour. In other words, charging a VRLA battery consumes 1.04 Liters/Hour per kW.

For FCED battery, the charging requires 7.5 kW of power. The DG fuel consumption to generate 7.5 kW of power is 3 Liters/Hour. In other words, charging FCED battery consumes only 0.4 Liters/Hour per kW. Therefore, on a per kW basis roughly 0.6 Liters/Hour of DG fuel consumption can be reduced.

Figure 3 shows a flow chart of an automated energy management method 300 for a telecommunication site according to one embodiment of the present invention. At step 310, the method obtains information of benefit and cost parameters associated with the plurality of source and sink available at the site.

At step 320, the method obtains the site parameters including shelter temperature, battery voltage, load current lighting, air conditioners, base transceiver etc;
At step 330, the method stores the obtained information of benefit and cost parameters, site parameters etc in a database.

At step 340, the method optimizes the cost and benefit in order to identify the right sources and the sinks in the site, so that the power drawn from the sources that are most economical and fed to sinks which offer the highest benefits. The optimization is calculated as
ma^50urce,Sinks 2JSinks "'W — l^Sources^'^i * M wherein BPC, denotes the benefit associated with using a particular energy sink, CPGj denotes the cost of using power source / generating 1kWh of energy, and Pi denotes the amount of power drawn from a particular source of power

The optimization step further includes, where the method takes the power from the cheapest energy source and offered to the sink that offers most benefits. And, if the power source is not powerful enough to power the sink based on the constraint, then the power source is used to power the next most beneficial sink.

At step 350, the method drives the source and sinks accordingly in the site, automatically.

The present invention preferably implemented in hardware. For example, one or more application specific integrated circuits (ASICs) could be programmed with the above-described functions of the present invention. In alternate embodiments, the present invention may be implemented in software or firmware.

In the illustrated embodiment of Figure 4, the automated Energy Management System for a telecommunication site, according to the present invention as discussed above may also be implemented as a series of software routines run by computer system of Figure 4. These software routines comprise a plurality or series of instructions to be executed by a processing system in a hardware system, such as processor 410 of Figure 4. Initially, the series of instructions are stored on a data storage device 460, memory 420 or flash 430. It is to be appreciated that the series of instructions can be stored using any conventional computer-readable or machine-accessible storage medium, such as a diskette, CD-ROM, magnetic tape, DVD, ROM, etc. It is also to be appreciated that the series of instructions need not be stored locally, and could be stored on a propagated data signal received from a remote storage device, such as a server on a network, via a network/communication interface 470. The instructions are copied from the storage device 460, such as mass storage, or from the propagated data signal into a memory 420 and then accessed and executed by processor 410.
Accordingly, automated Energy Management System for a telecommunication site is described. From the foregoing description, those skilled in the art will recognize that many other variations of the present invention are possible.

Figures 1-4 are merely representational and are not drawn to scale. Certain portions thereof may be exaggerated, while others may be minimized. Figures 1-4 illustrate various embodiments of the invention that can be understood and appropriately carried out by those of ordinary skill in the art.

In the foregoing detailed description of embodiments of the invention, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This system of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the invention require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby incorporated into the detailed description of embodiments of the invention, with each claim standing on its own as a separate embodiment.

It is understood that the above description is intended to be illustrative, and not restrictive. It is intended to cover all alternatives, modifications and equivalents as may be included within the spirit and scope of the invention as defined in the appended claims. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description. The scope of the invention should, therefore, be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled. In the appended claims, the terms "including" and "in which" are used as the plain-English equivalents of the respective terms "comprising" and "wherein," respectively.

We Claim:

1. An automated energy management method for a telecommunication site, the
method comprising:

obtaining information of benefit and cost parameters associated with the plurality of source and sink available at the site;

obtaining the site parameters including shelter temperature, battery voltage, load current lighting, air conditioners, base transceiver etc;

optimizing the cost and benefit in order to identify the right sources and the sinks in the site, so that the power drawn from the sources that are most economical and fed to sinks which offer the highest benefits; and

driving the source and sink accordingly in the site, automatically.

2. The method of claim 1, further comprising:

storing the information of benefit and cost parameters, site parameters etc in a database.

3. The method of claim 1, wherein the step of optimization is calculated as
wherein BPCj denotes the benefit associated with using a particular energy sink, CPGi denotes the cost of using power source / generating 1kWh of energy, and Pi denotes the amount of power drawn from a particular source of power.

4. The method of claim 1, wherein the step of optimization includes, where the method takes the power from the cheapest energy source and offered to the sink that offers most benefits.

5. The method of claim 4, wherein if the power source is not powerful enough to power the sink based on the constraint, then the power source is used to power the next most beneficial sink.

6. An automated energy management system for a telecommunication site, the method comprising:

a plurality of power source to power the telecommunication site, and

a Energy Management Controller (EMC) including a control circuitry configured to the plurality of power source, and wherein the control circuitry is configured to control the multiple energy sources to deliver power to multiple energy sinks in order in order to reduce the operational expenditure and to improve the utilization of the available power sources.

7. The system of claim 6, wherein the Energy Management Controller (EMC)
includes a memory, wherein the EMC is configured for:

obtaining information of benefit and cost parameters associated with the plurality of source and sink available at the site;

obtaining the site parameters including shelter temperature, battery voltage, load current lighting, air conditioners, base transceiver etc;

storing the information of benefit and cost parameters, site parameters etc in a database;
optimizing the cost and benefit in order to identify the right sources and the sinks in the site, so that the power drawn from the sources that are most economical and fed to sinks which offer the highest benefits; and

driving the source and sink accordingly in the site, automatically.

8. The system of claim 6, wherein the EMC optimizes mathematically which is given by,
wherein BPCj denotes the benefit associated with using a particular energy sink, CPGj denotes the cost of using power source / generating 1kWh of energy, and Pj denotes the amount of power drawn from a particular source of power.