A system, and method enabling monitoring, and optimization of energy consumption in real-time

Abstract

Present disclosure discloses a system (102) and method enabling monitoring and optimization of energy consumption in real-time. System (102) receives one or more data from at least one power analyser unit (108) coupled to at least one device consuming energy located in at least one industrial site associated with the user (106). The data comprises of details associated with energy consumption of the device. System (102) transmits the data from the power analyser unit to internet based data center to store the data. System (102) employs data analytics on the data stored to calculate at least one efficiency parameter using an energy analyser module. System (102) tracks and monitors energy efficiency based on the efficiency parameter calculated and optimize the energy consumption to take actions to reduce the energy consumption. System (102) generates and transmits notifications to the user whenever the efficiency parameter value goes beyond a predefined level.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of energy consumption andmanagement. In particular, it relates to a system, and method enabling monitoring,and optimization of energy consumption in real-time.BACKGROUND

[0002] Background description includes information that may be useful inunderstanding the present disclosure. It is not an admission that any of theinformation provided herein is prior art or relevant to the presently claimeddisclosure, or that any publication specifically or implicitly referenced is prior art.

[0003] The reduction of greenhouse gases emission is necessary for a sustainableenvironment. Implementing strategies to increase industry energy efficiency isone strategy to lower greenhouse gas emissions. The periodic assessment ofenergy efficiency of industries can help to identify their strengths and weaknessesand thereby improve the performance potential by identifying the zones wherethey can increase productivity and revenue.

[0004] In recent years, several aspects are proposed for the monitoring andassessment of energy efficiency in various fields. One of the Indian patentapplications IN202341037952A, entitled "IOT based smart energy meter"discloses an architecture of an IoT based energy meter. Another Indian patentapplication IN202231056186A, entitled "Internet of Things (IoT) based smartenergy metering and monitoring system" discloses an IoT based energy which isable to calculate the total amount of electricity consumed by using the current andvoltage sensor readings. Most of the existing systems uses external sensors to finddetails about the current or power. Also, the said systems indicate only the energymeter reading and does not provide an insight to the efficiency parameters and thenecessary actions to be taken.

[0005] Hence, there is a need for a system enabling monitoring and optimizationof energy consumption using simple and efficient architecture and which canwarn the user in timely manner about the variations in energy consumption to takenecessary actions.OBJECTS OF THE PRESENT DISCLOSURE

[0006] Some of the objects of the present disclosure, which at least oneembodiment herein satisfies are as listed herein below.

[0007] It is an object of the present disclosure to provide a system, and methodenabling monitoring, and optimization of energy consumption in real-time.

[0008] It is another object of the present disclosure to provide a system, andmethod which can contribute in the energy management by giving an insight tothe energy consumption pattern.

[0009] It is another object of the present disclosure to provide a system, andmethod which integrates options to optimize the energy consumption and takeaction to reduce the Specific Energy Consumption (SEC).

[0010] It is another object of the present disclosure to provide a system, andmethod which generates timely alerts and notifications to authorised personalrelated industry whenever the SEC goes beyond a particular level it sendsmessages to the concerned user.SUMMARY

[0011] The present disclosure relates to the field of energy consumption andmanagement. In particular, it relates to a system, and method enabling monitoring,and optimization of energy consumption in real-time.

[0012] An aspect of the present disclosure pertains to a system enablingmonitoring, and optimization of energy consumption in real-time. The systemcomprising one or more pre-processor, and a memory coupled to the one or moreprocessor. The memory comprises processor-executable instructions to cause thesystem to receive one or more data from at least one power analyser unit coupledto at least one device consuming energy located in at least one industrial siteassociated with at least one user. The one or more data comprises of at least onedetails associated with energy consumption of the at least one device. Further, thesystem can be configured to transmit the one or more data from the at least onepower analyser unit to at least one internet based data center to store the one ormore data from the at least one power analyser unit. Further, the system can beconfigured to employ data analytics on the one or more data stored to determinetotal energy consumption and total output from the at least one industrial site, andcalculate at least one efficiency parameter using an energy analyser module.

[0013] Further, the system can be configured to track and monitor energyefficiency of the at least one industrial site over time based on the at least oneefficiency parameter calculated and optimize the energy consumption to take atleast one action to reduce the energy consumption. Furthermore, the system canbe configured to generate and transmit at least one notification to the at least oneuser whenever the at least one efficiency parameter value goes beyond apredefined level based on tracking and monitoring.

[0014] In an aspect, the at least one device comprises of at least one of a vacuumsystem, a vibration sensor, a generators, a mixers, a lift, a compressor, apackaging machines, a chiller, and a shredders.

[0015] In an aspect, the at least one details associated with energy consumptioncomprises at least one of a power, a current, a voltage and a power factor.

[0016] In an aspect, the at least one industrial site comprises of at least one of aseafood industry, a chemical industry, a steel plant, and a plastic manufacturer.

[0017] In an aspect, the at least one user comprises of at least one of an industryowner(s), a plant manager, a plant operator, a site manager, and an industrygoverning body.

[0018] In an aspect, the at least one internet based data center comprises at leastone of a cloud based platform, a central server, and a data base.

[0019] In an aspect, the at least one efficiency parameter comprises of at least oneof a Specific Energy Consumption, and an Energy Use Intensity. The SpecificEnergy Consumption is calculated from dividing total energy consumption bytotal output from the at least one industrial site.

[0020] In an aspect, the energy analyser module comprises of at least onemicrocontroller connected to at least one power supply. The at least onemicrocontroller is configured to interact with one or more components coupled tothe at least one microcontroller. Further, the energy analyser module comprises ofat least one power analyser unit coupled to the at least one microcontroller usingat least one interfacing module. The at least one power analyser unit is configuredto measure at least one details on energy consumption. the energy analysermodule comprises of at least one Wi-Fi module coupled to the at least onemicrocontroller. The at least one Wi-Fi module is configured to implement acommunication protocol to transmit the one or more data from the at least onepower analyser unit to at least one internet based data center. Further, the energyanalyser module comprises of at least one display with display interface coupledto the at least one microcontroller using at least one USB converter. The at leastone display is configured to display at least one details on energy consumptionmeasured by the at least one power analyser unit.

[0021] In an aspect, the at least one action to reduce the energy consumptionpertains to one or more process to overcome the at least one factor affecting the atleast one efficiency parameter. The at least one factor affecting the at least oneefficiency parameter comprises of at least one of a power variations, an age andsize of the industrial site, a degree of automation, an intensity, and type ofprocessing operations, a layout and organization of industrial site, an efficiency ofthe equipment used, and a variety of products manufactured. The one or moreprocess comprises of at least one of an implement energy saving measure, anincrease the efficiency of equipment used, a replace old equipment with energyefficient equipment, implement energy saving methods for manufacturing, areducing the heat loss, and a use of renewable energy resources.

[0022] In an aspect, a method enabling monitoring and optimization of energyconsumption in real-time. The method includes steps of receiving, by the system,one or more data from at least one power analyser unit coupled to at least onedevice consuming energy located in at least one industrial site associated with atleast one user. The one or more data comprises of at least one details associatedwith energy consumption of the at least one device. The method includes steps oftransmitting, by the system, the one or more data from the at least one poweranalyser unit to at least one internet based data center to store the one or more datafrom the at least one power analyser unit. Further, the method comprises the stepof employing, by the system, data analytics on the one or more data stored todetermine total energy consumption and total output from the at least oneindustrial site, and calculate at least one efficiency parameter using an energyanalyser module. Further, the method comprises the step of tracking andmonitoring, by the system, energy efficiency of the at least one industrial site overtime based on the at least one efficiency parameter calculated and optimize theenergy consumption to take at least one action to reduce the energy consumption.Furthermore, the method comprises the step of generating and transmitting, by thesystem, at least one notification to the at least one user whenever the at least oneefficiency parameter value goes beyond a predefined level based on tracking andmonitoring.

[0023] Various objects, features, aspects, and advantages of the inventive subjectmatter will become more apparent from the following detailed description ofpreferred embodiments, along with the accompanying drawing figures in whichlike numerals represent like components.BRIEF DESCRIPTION OF DRAWINGS

[0024] The accompanying drawings are included to provide a furtherunderstanding of the present disclosure, and are incorporated in, and constitute apart of this specification. The drawings illustrate exemplary embodiments of thepresent disclosure, and together with the description, serve to explain theprinciples of the present disclosure.

[0025] In the figures, similar components, and / or features may have the samereference label. Further, various components of the same type may bedistinguished by following the reference label with a second label thatdistinguishes among the similar components. If only the first reference label isused in the specification, the description is applicable to any one of the similarcomponents having the same first reference label irrespective of the secondreference label.

[0026] FIG. 1 illustrates exemplary network architecture of the proposed system102 enabling monitoring and optimization of energy consumption in real-time, inaccordance with an embodiment of the present disclosure.

[0027] FIG. 2 illustrates architecture of the proposed system 102 enablingmonitoring and optimization of energy consumption in real-time, in accordancewith an embodiment of the present disclosure.

[0028] FIG. 3A illustrates an exemplary flow diagram of the proposed method300 enabling monitoring and optimization of energy consumption in real-time, inaccordance with an embodiment of the present disclosure.

[0029] FIG. 3B illustrates an exemplary circuit depicting the system 102 enablingmonitoring and optimization of energy consumption in real-time, in accordancewith an embodiment of the present disclosure.DETAILED DESCRIPTION

[0030] The following is a detailed description of embodiments of the disclosuredepicted in the accompanying drawings. The embodiments are in such detail as toclearly communicate the disclosure. However, the amount of detail offered is notintended to limit the anticipated variations of embodiments; on the contrary, theintention is to cover all modifications, equivalents, and alternatives falling withinthe spirit and scope of the present disclosure as defined by the appended claims.

[0031] The present disclosure relates to the field of energy consumption andmanagement. In particular, it relates to a system, and method enabling monitoring,and optimization of energy consumption in real-time.

[0032] Various aspects of the present disclosure are described with respect toFIGs. 1-3.

[0033] FIG. 1 illustrates exemplary network architecture of the proposed system102 enabling monitoring and optimization of energy consumption in real-time, inaccordance with an embodiment of the present disclosure.

[0034] In an embodiment, referring to FIG. 1, the system 102 will be connected toa network 104, which is further connected to at least one power analyser unit 108-1, 108-2, … 108-N (collectively referred as image capturing unit 108, herein)associated with one or more users 106-1, 106-2, … 106-N (collectively referred asuser 106, herein). The at least one power analyser unit 108 may be at least one ofa power meter, a power quality analyser, a power analyser, or any custom-builtcomputing device integrated within a modern imaging machine that can connectto a network as an IoT (Internet of Things) device. Furthermore, the network 104can be configured with a centralized server 110 that stores compiled data from allthe secure transactions.

[0035] In an embodiment, the system 102 may receive at least one input data fromthe at least one power analyser unit 108. A person of ordinary skill in the art willunderstand that the at least one power analyser unit 108 may be individuallyreferred to power analyser unit 108 and collectively referred to as power analyserunits 108.

[0036] In an embodiment, the power analyser unit 108 may transmit the at leastone received data packet over a point-to-point or point-to-multipointcommunication channel or network 104 to the system 102.

[0037] In an embodiment, the power analyser unit 108 may involve collection,analysis, and sharing of data received from the system 102 via the communicationnetwork 104.

[0038] In an embodiment, the system 102 may execute one or more instructionenabling monitoring and optimization of energy consumption in real-time.

[0039] In an exemplary embodiment, the system 102 may include, but not belimited to, a computer enabled device, a mobile phone, a tablet, a display device, adisplay projector, a AR / VR / MR, a imaging device, a sensors, a NFC, a network(Wired or Wireless), an apparatus to dispatch gift, prints, ecommerce,instructions, a Remote Detection Service (Detection Device) enabled devices suchas iBeacon technologies, NFC, IR / RF services, Bluetooth to detect the devicesnearby, a connect signs objects, an apparatus, a vending machine, a gift clawmachine, a combination of the vending machine, and the gift claw machine, adrone, a robot, an advertisement displays, or some combination thereof.

[0040] In an exemplary embodiment, the communication network 104 mayinclude, but not be limited to, at least a portion of one or more networks havingone or more nodes that transmit, receive, forward, generate, buffer, store, route,switch, process, or a combination thereof, etc. one or more messages, packets,signals, waves, voltage or current levels, some combination thereof, or so forth. Inan exemplary embodiment, the communication network 104 may include, but notbe limited to, a wireless network, a wired network, an internet, an intranet, apublic network, a private network, a packet-switched network, a circuit-switchednetwork, an ad hoc network, an infrastructure network, a Public-SwitchedTelephone Network (PSTN), a cable network, a cellular network, a satellitenetwork, a fiber optic network, or some combination thereof.

[0041] In an embodiment, the at least one power analyser unit 108 maycommunicate with the system 102 via a set of executable instructions residing onany operating system. In an embodiment, the one or more image capturing units108 may include, but not be limited to, a power meter, a power quality analyser, apower analyser, any electrical, electronic, electro-mechanical, or an equipment, ora combination of one or more of the above devices such as mobile phone,smartphone, Virtual Reality (VR) devices, Augmented Reality (AR) devices,laptop, a general-purpose computer, desktop, personal digital assistant, tabletcomputer, mainframe computer, or any other computing device, wherein the atleast one power analyser units 108 may include one or more in-built or externallycoupled accessories including, but not limited to, a visual aid device such ascamera, audio aid, a microphone, a keyboard, input devices such as touch pad,touch enabled screen, electronic pen, receiving devices for receiving any audio orvisual signal in any range of frequencies, and transmitting devices that cantransmit any audio or visual signal in any range of frequencies. It may beappreciated that the at least one power analyser unit 108 may not be restricted tothe mentioned devices and various other devices may be used.

[0042] In an embodiment, the network 104 is further configured with acentralized server 110 including a database, where the user identity data is usedfor providing authentication to the users. It can be retrieved based on therequirement.

[0043] In an embodiment, the system 102 can be configured to receive one ormore data from at least one power analyser unit 108 coupled to at least one deviceconsuming energy located in at least one industrial site associated with at leastone user 106. The one or more data may comprise of at least one detailsassociated with energy consumption of the at least one device. The at least onedevice can include, but not limited to: a vacuum system, a vibration sensor, agenerators, a mixers, a lift, a compressor, a packaging machines, a chiller, ashredders and the likes. The at least one details associated with energyconsumption can include, but not limited to: a power, a current, a voltage, a powerfactor, and the likes. The at least one industrial site can include, but not limited to:a seafood industry, a chemical industry, a steel plant, a plastic manufacturer, andthe likes. The at least one user can include, but not limited to: an industryowner(s), a plant manager, a plant operator, a site manager, an industry governingbody, and the likes.

[0044] In an embodiment, the system 102 can be configured to transmit the one ormore data from the at least one power analyser unit 108 to at least one internetbased data center 312 to store the one or more data from the at least one poweranalyser unit 108. The at least one internet based data center 312 can include, butnot limited to: a cloud based platform, a central server, a data base, and the likes.

[0045] In an embodiment, the system 102 can be configured to employ dataanalytics on the one or more data stored to determine total energy consumptionand total output from the at least one industrial site, and calculate at least oneefficiency parameter using an energy analyser module. The at least one efficiencyparameter can include, but not limited to: a Specific Energy Consumption, anEnergy Use Intensity, and the likes. The Specific Energy Consumption iscalculated from dividing total energy consumption by total output from the at leastone industrial site.

[0046] In an exemplary embodiment, the Specific Energy Consumption (SEC), isan indicator of the progress of improved energy efficiency. SEC is calculated bydividing the total energy consumed by the total output or production. The EnergyUse Intensity (EUI) refers to the amount of energy used per square footannually. EUI is calculated by dividing the total energy consumed by the buildingin a year by the total gross floor area.

[0047] In an embodiment, the energy analyser module 300A may comprise of atleast one microcontroller 306 connected to at least one power supply 302. The atleast one microcontroller 306 is configured to interact with one or morecomponents coupled to the at least one microcontroller. Further, the energyanalyser module 300A comprises of at least one power analyser unit 108 coupledto the at least one microcontroller 306 using at least one interfacing module 306-4.The at least one power analyser unit 108 is configured to measure at least onedetails on energy consumption. the energy analyser module comprises of at leastone Wi-Fi module 310 coupled to the at least one microcontroller 306. The atleast one Wi-Fi module 310 is configured to implement a communication protocolto transmit the one or more data from the at least one power analyser unit to atleast one internet based data center 312. Further, the energy analyser modulecomprises of at least one display 306-3 with display interface 306-2 coupled to theat least one microcontroller 306 using at least one USB converter. The at least onedisplay is configured to display at least one details on energy consumptionmeasured by the at least one power analyser unit.

[0048] In an embodiment, the system 102 can be configured to track and monitorenergy efficiency of the at least one industrial site over time based on the at leastone efficiency parameter calculated and optimize the energy consumption to takeat least one action to reduce the energy consumption. The at least one action toreduce the energy consumption pertains to one or more process to overcome the atleast one factor affecting the at least one efficiency parameter. The at least onefactor affecting the at least one efficiency parameter can include, but limited to: apower variations, an age and size of the industrial site, a degree of automation, anintensity, and type of processing operations, a layout and organization ofindustrial site, an efficiency of the equipment used, a variety of productsmanufactured, and the likes. The one or more process can include, but limited to:an implement energy saving measure, an increase the efficiency of equipmentused, a replace old equipment with energy efficient equipment, implement energysaving methods for manufacturing, a reducing the heat loss, a use of renewableenergy resources, and the likes.

[0049] In an embodiment, the system 102 can be configured to generate andtransmit at least one notification to the at least one user whenever the at least oneefficiency parameter value goes beyond a predefined level based on tracking andmonitoring.

[0050] Although FIG. 1 shows exemplary components of the network architecture100, in other embodiments, the network architecture 100 may include fewercomponents, different components, differently arranged components, or additionalfunctional components than depicted in FIG. 1. Additionally, or alternatively, oneor more components of the network architecture 100 may perform functionsdescribed as being performed by one or more other components of the networkarchitecture 100.

[0051] FIG. 2 illustrates architecture of the proposed system 102 enablingmonitoring and optimization of energy consumption in real-time, in accordancewith an embodiment of the present disclosure.

[0052] In an aspect, referring to FIG. 2, the system 102 may comprise one ormore processor(s) 202. The one or more processor(s) 202 may be implemented asone or more microprocessors, microcomputers, microcontrollers, edge or fogmicrocontrollers, digital signal processors, central processing units, logiccircuitries, and / or any devices that process data based on operational instructions.Among other capabilities, the one or more processor(s) 202 may be configured tofetch and execute computer-readable instructions stored in a memory 204 of thesystem 102. The memory 204 may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storagemedium, which may be fetched and executed to create or share data packets over anetwork service. The memory 204 may comprise any non-transitory storagedevice including, for example, volatile memory such as Random Access Memory(RAM), or non-volatile memory such as Erasable Programmable Read-OnlyMemory (EPROM), flash memory, and the like.

[0053] Referring to FIG. 2, the system 102 may include an interface(s) 206. Theinterface(s) 206 may comprise a variety of interfaces, for example, interfaces fordata input and output devices, referred to as I / O devices, storage devices, and thelike. The interface(s) 206 may facilitate communication to / from the system 102.The interface(s) 206 may also provide a communication pathway for one or morecomponents of the system 102. Examples of such components include, but are notlimited to, processing unit / engine(s) 208 and a local database 210.

[0054] In an embodiment, the processing unit / engine(s) 208 may be implementedas a combination of hardware and programming (for example, programmableinstructions) to implement one or more functionalities of the processing engine(s)208. In examples described herein, such combinations of hardware andprogramming may be implemented in several different ways. For example, theprogramming for the processing engine(s) 208 may be processor-executableinstructions stored on a non-transitory machine-readable storage medium and thehardware for the processing engine(s) 208 may comprise a processing resource(for example, one or more processors), to execute such instructions. In the presentexamples, the machine-readable storage medium may store instructions that, whenexecuted by the processing resource, implement the processing engine(s) 208. Insuch examples, the system 102 may comprise the machine-readable storagemedium storing the instructions and the processing resource to execute theinstructions, or the machine-readable storage medium may be separate butaccessible to the system 102 and the processing resource. In other examples, theprocessing engine(s) 208 may be implemented by electronic circuitry.

[0055] In an embodiment, the local database 210 may comprise data that may beeither stored or generated as a result of functionalities implemented by any of thecomponents of the processor 202 or the processing engines 208. In anembodiment, the local database 210 may be separate from the system 102.

[0056] In an exemplary embodiment, the processing engine 208 may include oneor more engines selected from any of a user registration and a data acquisitionmodule 212, a data storing module 214, a data analysis module 216, a trackingand notification module 218, and other modules 220 having functions that mayinclude but are not limited to testing, storage, and peripheral functions, such aswireless communication unit for remote operation, audio unit for alerts and thelike.

[0057] In an embodiment, the data acquisition module 212 may include means ofreceiving one or more data from at least one power analyser unit 108 coupled to atleast one device consuming energy located in at least one industrial site associatedwith at least one user 106. The one or more data may comprise of at least onedetails associated with energy consumption of the at least one device.

[0058] In an embodiment, the data storing module 214 may be configured totransmit the one or more data from the at least one power analyser unit 108 to atleast one internet based data center 312 to store the one or more data from the atleast one power analyser unit 108.

[0059] In an embodiment, the data analysis module 216 may be configured toemploy data analytics on the one or more data stored to determine total energyconsumption and total output from the at least one industrial site, and calculate atleast one efficiency parameter using an energy analyser module 300A.

[0060] In an embodiment, the tracking and notification module 218 may beconfigured to track and monitor energy efficiency of the at least one industrial siteover time based on the at least one efficiency parameter calculated and optimizethe energy consumption to take at least one action to reduce the energyconsumption. Further, the tracking and notification module 218 may beconfigured to generate and transmit at least one notification to the at least one user106 whenever the at least one efficiency parameter value goes beyond apredefined level based on tracking and monitoring.

[0061] FIG. 3A illustrates an exemplary flow diagram of the proposed method300 enabling monitoring and optimization of energy consumption in real-time, inaccordance with an embodiment of the present disclosure.

[0062] In an embodiment, referring to FIG. 3A, the flow diagram of the proposedmethod 300 enabling monitoring and optimization of energy consumption in real-time. The method includes step 302 of receiving, by the system 102, one or moredata from at least one power analyser unit coupled to at least one deviceconsuming energy located in at least one industrial site associated with at leastone user. The one or more data comprises of at least one details associated withenergy consumption of the at least one device. Further, at step 304, transmitting,by the system 102, the one or more data from the at least one power analyser unitas derived from step 302 to at least one internet based data center to store the oneor more data from the at least one power analyser unit. Further, at step 306,employing, by the system 102, data analytics on the one or more data stored instep 304 to determine total energy consumption and total output from the at leastone industrial site, and calculate at least one efficiency parameter using an energyanalyser module 300A. Further, at step 308, tracking and monitoring, by thesystem 102, energy efficiency of the at least one industrial site over time based onthe at least one efficiency parameter calculated from step 306 and optimize theenergy consumption to take at least one action to reduce the energy consumption.Furthermore, at step 310, generating and transmitting, by the system, at least onenotification to the at least one user whenever the at least one efficiency parametervalue goes beyond a predefined level based on tracking and monitoring form step308.

[0063] FIG. 3B illustrates an exemplary circuit 300A depicting the system 102enabling monitoring and optimization of energy consumption in real-time, inaccordance with an embodiment of the present disclosure.

[0064] In an embodiment, referring to FIG. 3B, exemplary circuit 300A depictingthe system 102 enabling monitoring and optimization of energy consumption inreal-time. The circuit of energy analyser module 300A may comprise of at leastone microcontroller 306 connected to at least one power supply 302 using aSwitch mode Power Supply (SMPS) unit 302-1. The at least one microcontroller306 may be configured to interact with one or more components coupled to the atleast one microcontroller. The circuit 300A further comprises of at least onepower analyser unit 108 coupled to the at least one microcontroller 306 using atleast one interfacing module 306-4. The at least one power analyser unit 108 maybe configured to measure at least one details on energy consumption. The circuit300A further comprises of at least one Wi-Fi module 310 coupled to the at leastone microcontroller 306. The at least one Wi-Fi module 310 may be configured toimplement a communication protocol to transmit the one or more data from the atleast one power analyser unit to at least one internet based data center 312.Further, the circuit 300A comprises of at least one display 306-3 with displayinterface 306-2 coupled to the at least one microcontroller 306 using at least oneUSB converter. The at least one display 306-3 is configured to display at least onedetails on energy consumption measured by the at least one power analyser unit308.

[0065] In an exemplary embodiment, the at least one power analyser unit 108 isinstalled on devices which consumes energy. The at least one power analyser unit108 collects data on energy consumption including, but not limited to: a power, acurrent, a voltage, a power factor, and the likes. The collected data may betransferred to including but not limited to a cloud platform, a local server, and thelikes for analysis. SEC is calculated by dividing the total energy consumed by thetotal output or production. The system 102 use the SEC metric to track andmonitor energy efficiency over time. By using the collected data and SEC metric,the system 102 optimizes the energy consumption and notifies the user to takeaction to reduce the SEC.

[0066] In an exemplary embodiment, referring to FIG. 3B, the exemplary circuit300A of the system 102 may comprise of an energy meter 108, an Arduino meter306, a Wi-Fi module 310 and a cloud 312. The proposed circuit 300A maycomprise of the following electronic components: a 3 phase digital programmablepower analyser with RS 485 PORT, a 4 x 4 Matrix 16 keyboard keypad-28512, aNodeMcu ESP8266 V3 Lua CH340, an LCD 1602 Parallel LCD Display withIIC / 12C interface, a NHP 5V 8A 40 W Switch mode Power Supply (SMPS), anArduino Uno R3 with cable -6337, a MAX485 TTL to RS485-29796, an USB TORS485 Converter adapter Support WIN7 XP Vista Linux mac OS- 43952 and aCH340G USB To TTL(Serial) Converter For Arduino Nano Raspberry pi-24628.

[0067] If the specification states a component or feature "may", "can", "could", or"might" be included or have a characteristic, that particular component or featureis not required to be included or have the characteristic.

[0068] As used in the description herein and throughout the claims that follow,the meaning of "a," "an," and "the" includes plural reference unless the contextclearly dictates otherwise. Also, as used in the description herein, the meaning of"in" includes "in" and "on" unless the context clearly dictates otherwise.

[0069] It is to be appreciated by a person skilled in the art that while variousembodiments of the present disclosure have been elaborated for a system, andmethod enabling monitoring, and optimization of energy consumption in real-time. However, the teachings of the present disclosure are also applicable forother types of applications as well, and all such embodiments are well within thescope of the present disclosure. However, the system, and method enablingmonitoring and optimization of energy consumption in real-time is also equallyimplementable in other industries as well, and all such embodiments are wellwithin the scope of the present disclosure without any limitation.

[0070] Accordingly, the present disclosure provides a system, and methodenabling monitoring, and optimization of energy consumption in real-time.

[0071] Moreover, in interpreting the specification, all terms should be interpretedin the broadest possible manner consistent with the context. In particular, theterms "comprises" and "comprising" should be interpreted as referring toelements, components, or steps in a non-exclusive manner, indicating that thereferenced elements, components, or steps may be present, or utilized, orcombined with other elements, components, or steps that are not expresslyreferenced. Where the specification claims refer to at least one of somethingselected from the group consisting of A, B, C….and N, the text should beinterpreted as requiring only one element from the group, not A plus N, or B plusN, etc.

[0072] While the foregoing describes various embodiments of the disclosure,other and further embodiments of the disclosure may be devised without departingfrom the basic scope thereof. The scope of the disclosure is determined by theclaims that follow. The disclosure is not limited to the described embodiments,versions or examples, which are included to enable a person having ordinary skillin the art to make and use the disclosure when combined with information andknowledge available to the person having ordinary skill in the art.ADVANTAGES OF THE PRESENT DISCLOSURE

[0073] The present disclosure provides a system, and method enablingmonitoring, and optimization of energy consumption in real-time.

[0074] The present disclosure provides a system and method enabling monitoringand optimization of energy consumption in real-time.

[0075] The present disclosure provides a system and method which can contributein the energy management by giving an insight to the energy consumption pattern.

[0076] The present disclosure provides a system and method which integratesoptions to optimize the energy consumption and take action to reduce the SpecificEnergy Consumption (SEC).

[0077] The present disclosure provides a system and method which generatestimely alerts and notifications to authorised personal related industry wheneverthe SEC goes beyond a particular level it sends messages to the concerned user.

Claims

1. A system (102) enabling monitoring and optimization of energy consumption in real-time, the system (102) comprising: one or more processors (202); and a memory coupled to the one or more processors (202), wherein said memory (204) stores instructions which when executed by the one or more processors (202) cause the system (102) to: receive one or more data from at least one power analyser unit (108) coupled to at least one device consuming energy located in at least one industrial site associated with at least one user (106), wherein the one or more data comprises of at least one details associated with energy consumption of the at least one device; transmit the one or more data from the at least one power analyser unit (108) to at least one internet based data center (312) to store the one or more data from the at least one power analyser unit (108); employ data analytics on the one or more data stored to determine total energy consumption and total output from the at least one industrial site, and calculate at least one efficiency parameter using an energy analyser module (300A); track and monitor energy efficiency of the at least one industrial site over time based on the at least one efficiency parameter calculated and optimize the energy consumption to take at least one action to reduce the energy consumption; and generate and transmit at least one notification to the at least one user (106) whenever the at least one efficiency parameter value goes beyond a predefined level based on tracking and monitoring.

2. The system (102) as claimed in claim 1, wherein the at least one device comprises of at least one of a vacuum system, a vibration sensor, a generators, a mixers, a lift, a compressor, a packaging machines, a chiller, and a shredders.

3. The system (102) as claimed in claim 1, wherein the at least one details associated with energy consumption comprises at least one of a power, a current, a voltage, and a power factor.

4. The system (102) as claimed in claim 1, wherein the at least one industrial site comprises of at least one of a seafood industry, a chemical industry, a steel plant, and a plastic manufacturer. wherein the at least one user comprises of at least one of an industry owner(s), a plant manager, a plant operator, a site manager, and an industry governing body.

5. The system (102) as claimed in claim 1, wherein the at least one internet based data center comprises at least one of a cloud based platform, a central server, and a data base.

6. The system (102) as claimed in claim 1, wherein the at least one efficiency parameter comprises of at least one of a Specific Energy Consumption, and an Energy Use Intensity, wherein the Specific Energy Consumption is calculated from dividing total energy consumption by total output from the at least one industrial site.

7. The system (102) as claimed in claim 1, wherein the energy analyser module (300A) comprising: at least one microcontroller (306) connected to at least one power supply (302), and the at least one microcontroller (306) is configured to interact with one or more components coupled to the at least one microcontroller; at least one power analyser unit (108) coupled to the at least one microcontroller (306) using at least one interfacing module (306-4), and the at least one power analyser unit (108) is configured to measure at least one details on energy consumption; at least one Wi-Fi module (310) coupled to the at least one microcontroller (306), and configured to implement a communication protocol to transmit the one or more data from the at least one power analyser unit (108) to at least one internet based data center (312); and at least one display (306-3) with display interface (306-2) coupled to the at least one microcontroller (306) using at least one USB converter, and the at least one display (306-3) is configured to display at least one details on energy consumption measured by the at least one power analyser unit (108).

8. The system as claimed in claim 1, wherein the at least one action to reduce the energy consumption pertains to one or more process to overcome the at least one factor affecting the at least one efficiency parameter, wherein the at least one factor affecting the at least one efficiency parameter comprises of at least one of a power variations, an age and size of the industrial site, a degree of automation, an intensity, and type of processing operations, a layout and organization of industrial site, an efficiency of the equipment used, and a variety of products manufactured, wherein the one or more process comprises of at least one of an implement energy saving measure, an increase the efficiency of equipment used, a replace old equipment with energy efficient equipment, implement energy saving methods for manufacturing, a reducing the heat loss, and a use of renewable energy resources.

9. A method (300) enabling monitoring and optimization of energy consumption in real-time, the method (300) comprising: receiving, by the system (102), one or more data from at least one power analyser unit (108) coupled to at least one device consuming energy located in at least one industrial site associated with at least one user (106), wherein the one or more data comprises of at least one details associated with energy consumption of the at least one device; transmitting, by the system (102), the one or more data from the at least one power analyser unit (108) to at least one internet based data center (312) to store the one or more data from the at least one power analyser unit (108); employing, by the system (102), data analytics on the one or more data stored to determine total energy consumption and total output from the at least one industrial site, and calculate at least one efficiency parameter using an energy analyser module (300A); tracking and monitoring, by the system (102), energy efficiency of the at least one industrial site over time based on the at least one efficiency parameter calculated and optimize the energy consumption to take at least one action to reduce the energy consumption; and generating and transmitting, by the system (102), at least one notification to the at least one user (106) whenever the at least one efficiency parameter value goes beyond a predefined level based on tracking and monitoring.