Clean energy supply and management system and method

Abstract

Disclosed is a clean energy supply and management system that includes a fermentation digester tank, a storage device, a gas engine generator, and a processor. The fermentation digester tank produces biogas from agricultural residues, food waste, and sewage sludge. The storage device stores the biogas to drive the gas engine generator to produce clean energy. The gas engine generator transmits the clean energy to a load coupled to a central depot. The processor is configured to: track and monitor various parameters of the EVs; monitor the charging process, and charging duration, and optimize the clean energy by integrating the EVs with the load; collect data on the energy consumption and charging patterns of each electric vehicle in the fleet; and compute the carbon emissions avoidances during the charging processes, and / or while driving the EVs.

Description

CLEAN ENERGY SUPPLY AND MANAGEMENT SYSTEM AND METHODBACKGROUNDTechnical Field

[0001] The specification is generally directed toward a clean energy supply and management system and method. More particularly, but not limited to, a clean energy supply and management system and method to incentivize electric vehicles (EVs) logistic fleet with carbon credit generated.Description of the Related Art

[0002] The global popularity of electric vehicles (EVs) is on the rise, and with good reason. EVs offer a promising solution to the pressing issue of reducing carbon footprints associated with traditional vehicle tailpipe emissions, which result from the combustion of fossil fuels. However, while EVs excel at addressing this particular environmental concern, there remains a significant challenge: the source of electricity used to charge the batteries of these vehicles.

[0003] In many parts of the world, particularly in developing countries, the generation of electricity for EV charging is heavily reliant on fossil fuels. Fossil fuels account for a substantial majority, often as high as 80-90%, of the total energy production in these regions. This dependence on fossil fuels for electricity generation essentially offsets the environmental benefits gained from using EVs for transportation.

[0004] This specification recognizes that there is a need for a clean energy supply and management system for a clean energy supply chain solution that can use clean energy to charge EVs on-site, especially the EV logistics fleet. The primary objective is to enable the use of clean, sustainable energy sources for on-site EV charging, with a specific focus on EV logistics fleets. By harnessing clean energy, such as biogas from organic food wastes or other renewable sources, this system aims to significantly reduce or even eliminate the carbonemissions from fossil fuels associated with EV charging. By utilizing these organic food wastes, the food wastes are diverted from landfills, avoiding the production of landfill methane. In almost all cities in developing countries, landfill space is running out. So, the solution disclosed in this specification is also aligned with the city’s waste management. Moreover, the aspiration goes beyond mere carbon neutrality; it aims to achieve a carbonnegative or negative net emissions outcome. This implies that the system should not only avoid the emissions from fuel electricity produced during EV operation but also actively remove additional carbon from the environment along with actively avoiding landfill methane emissions. In essence, it seeks to make a positive environmental impact by reducing the overall carbon footprint, even below zero. In contrast to this innovative approach, the conventional and more obvious solution has been to charge EVs using a grid electricity supply, which, as previously mentioned, often relies on fossil fuels. Recognizing the limitations and environmental consequences of this approach, the present specification introduces an alternative path, by providing clean energy to the EV fleets and the same time diverting food wastes from landfills, one that aligns more closely with the goal of sustainable, eco-friendly transportation, sustainable cities food wastes management and contributes to a cleaner, greener future.

[0005] Thus, in view of the above, there is a long-felt need in the industry to address the aforementioned deficiencies and inadequacies.

[0006] Further limitations and disadvantages of conventional approaches will become apparent to one of skill in the art through the comparison of described systems with some aspects of the present disclosure, as set forth in the remainder of the present application and with reference to the drawings.SUMMARY

[0007] An aspect of the present invention relates to a clean energy supply and management system that includes a fermentation digester tank, a biogas storage device, a gas engine generator, an optional battery storage, and a processor. The fermentation digester tank is configured to produce biogas from agricultural residues, food waste, and sewage sludge, by performing anaerobic digestion. In an aspect, the clean energy can be produced from clean energy sources such as solar panels, wind turbines, and waste heat. The biogas storage device is configured to store the biogas generated by the fermentation digester tank. The biogas is stored in the biogas storage device that drives the gas engine generator to produce clean energy. The fermentation digester tank, the biogas storage device, the gas engine generator, and battery storage are installed in a central depot. The gas engine generator produces clean energy and transmits it to the optional battery storage or directly to a load coupled to one or more electric chargers installed in the central depot. The optional battery storage is recommended if the demand for EV charging fluctuates quite a lot. The load is further operable to be coupled to one or more electric vehicles (EVs) to transmit clean energy. The electric chargers are charged by EV vehicles at any time. The processor is configured by one or more modules executing as code to: track and monitor a plurality of parameters of the one or more EVs; monitor a charging process, a charging duration, and optimize the clean energy by integrating the one or more EVs with the load; plan a trip for the one or more EVs based on a plurality of factors; generate one or more reports to perform analysis on a plurality of metrics; collect data on the energy consumption and charging patterns of each electric vehicle in the fleet; and compute, based on the collected data, the carbon emissions avoidances during one or more of: the charging processes, and while driving the one or more EVs. Examples of the parameters include but are not limited to a location, battery status, chargingstatus, and health data of the EVs. Examples of the plurality of factors include but are not limited to a range of one or more EVs, one or more traffic conditions, and one or more routes. Examples of the plurality of metrics include but are not limited to the performance of the fleet, energy usage, and a plurality of charging patterns.

[0008] In an aspect, the processor is configured to analyze the performance, degradation, and health of the battery storage of the central depot in any, and battery of the EVs to maximize battery life and identify one or more potential issues.

[0009] Another aspect of the present disclosure relates to a clean energy supply and management method. The method includes a step of producing, by a fermentation digester tank, biogas from agricultural residues, food wastes, and sewage sludge, by performing anaerobic digestion. The method includes a step of storing the biogas generated by the fermentation digester tank in a storage device. The method includes a step of driving, by the biogas, a gas engine generator to produce clean energy. The method includes a step of storing the clean energy generated by the gas engine in an optional battery storage device. The fermentation digester tank, the storage device, the gas engine generator, and the optional storage device are installed in a central depot. The method includes a step of transmitting the clean energy, by the gas engine generator, or the battery storage if any, and directly to a load coupled to the central depot. The load is further operable to be coupled to one or more electric vehicles (EVs) to transmit clean energy. The method includes a step of tracking and monitoring, by a processor, a plurality of parameters of one or more EVs. The method includes a step of monitoring, by the processor, a charging process, a charging duration, and optimizing the clean energy by integrating one or more EVs with the load. The method includes a step of planning, by the processor, a trip for the one or more EVs based on a plurality of factors. The method includes a step of generating, by the processor, one or more reports to perform analysis on a plurality of metrics. Examples of the metrics include but arenot limited to the performance of the fleet, energy usage, and a plurality of charging patterns.The method includes a step of collecting, by the processor, data on the energy consumption and charging patterns of each electric vehicle in the fleet. The method includes a step of computing, by the processor, based on the collected data, the carbon emissions avoidances during the charging processes, or while driving the EVs. The method includes a step of analyzing, by the processor, the performance of a battery, degradation, and health of the battery to maximize battery life and identify one or more potential issues.

[0010] Accordingly, one advantage of the present invention is that it provides an end-to- end clean energy supply chain to incentivize EV logistic fleet adoption in the transportation sector.

[0011] Other embodiments and advantages will become readily apparent to those skilled in the art upon viewing the drawings and reading the detailed description hereafter, all without departing from the spirit and the scope of the disclosure. The drawings and detailed descriptions presented are to be regarded as illustrative in nature and not in any way as restrictive.BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings illustrate the embodiments of systems, methods, and other aspects of the disclosure. Any person of ordinary skill in the art will appreciate that the illustrated element boundaries (e.g., boxes, groups of boxes, or other shapes) in the figures represent an example of the boundaries. In some examples, one element may be designed as multiple elements, or multiple elements may be designed as one element. In some examples, an element shown as an internal component of one element may be implemented as an external component in another and vice versa. Furthermore, the elements may not be drawnto scale. Reference numerals may be selectively repeated across images for clarity or emphasis.

[0013] Various embodiments will hereinafter be described in accordance with the appended drawings, which are provided to illustrate, not limit, the scope, wherein similar designations denote similar elements, and in which:

[0014] FIG. 1 illustrates a block diagram of a clean energy supply and management system, in accordance with one embodiment of the present disclosure.

[0015] FIG. 2 is a flowchart of a clean energy supply and management method to incentivize electric vehicles (EVs) logistic fleet, in accordance with one embodiment of the present disclosure.DETAILED DESCRIPTION

[0016] The present description is best understood with reference to the detailed figures and description set forth herein. Various embodiments of the present system and method have been discussed with reference to the figures. However, those skilled in the art will readily appreciate that the detailed description provided herein with respect to the figures is merely for explanatory purposes, as the present system and method may extend beyond the described embodiments. For instance, the teachings presented and the needs of a particular application may yield multiple alternative and suitable approaches to implement the functionality of any detail of the present systems and methods described herein. Therefore, any approach to implement the present system and method may extend beyond certain implementation choices in the following embodiments.

[0017] According to an embodiment herein, the methods of the present invention may be implemented by performing or completing manually, automatically, and / or a combination of thereof. The term “method” refers to manners, means, techniques, and procedures foraccomplishing any task including, but not limited to, those manners, means, techniques, and procedures either known to the person skilled in the art or readily developed from existing manners, means, techniques and procedures by practitioners of the art to which the present invention belongs. The persons skilled in the art will envision many other possible variations within the scope of the present system and method described herein.

[0018] The present disclosure provides a system and method for a sustainable clean energy supply chain, specifically designed for on-site charging of electric vehicles (EVs), with a particular focus on EV logistics fleets operating in developing countries. This groundbreaking solution not only promotes the use of clean energy but also achieves a carbon-negative or negative net emissions outcome because it diverts food wastes from landfills which will emit methane.

[0019] At the heart of this system is the utilization of biogas, generated through the fermentation of organic waste materials, such as food waste, agricultural residues, and sewage sludge. This biogas, primarily composed of methane (CH4) and carbon dioxide (CO2), along with trace gases, is produced via anaerobic digestion in a fermentation digester tank. The resulting biogas rises to the top of the tank, where it can be effectively collected and stored for various applications. Importantly, it serves as a potent source of fuel for a gas engine generator, which, in turn, generates clean electricity.

[0020] This process not only yields environmental benefits by diverting organic waste from landfills but also significantly reduces methane emissions, a potent greenhouse gas. Furthermore, it aligns with the principles of a circular economy. To optimize this solution for EV logistics fleets, the biogas digester tank and engine generator are strategically located within the fleet's central depot, typically a logistics warehouse where vehicles gather for goods distribution.

[0021] While biogas is a key component, there are other possibilities for on-site clean energy production, including solar, wind, waste heat, and biomass. The electricity generated from these sources is then used to charge EVs on-site, ensuring that these vehicles run on clean, sustainable energy rather than relying on the predominantly fossil fuel-based grid supply.

[0022] To enhance operational efficiency and maximize environmental benefits, a fleet management software is employed. This software records the electricity production by the engine, monitors the electricity consumption of each EV within the fleet, and optimizes charger operation. As a result, carbon credits can be accurately calculated for each EV in the fleet, providing a compelling incentive for fleet owners to transition to electric vehicles, further promoting sustainability and a greener future. Examples of electric vehicles (EVs) include, but are not limited to, motorcycles, vans, pickup trucks, agricultural tractors, and harvesters. According to an embodiment herein, the EVs may have one or more wheels. For example, these EVs may include 2, 3, 4, 6, 8, and 10 wheels. This embodiment is illustrative and should not be construed as limiting in any way.

[0023] FIG. 1 illustrates a block diagram of a clean energy supply and management system 100, in accordance with one embodiment of the present disclosure. The clean energy supply and management system 100 includes a fermentation digester tank 102, a storage device 103, a gas engine generator 106, an optional battery storage 107, and a processor 108. The fermentation digester tank 102 is configured to produce biogas from agricultural residues, food waste, and sewage sludge by performing anaerobic digestion. In an embodiment, the anaerobic digestion is a biological process that converts organic matter. Biogas is a mixture of primarily methane (CH4) and carbon dioxide (CO2), along with traces of other gases. The generated biogas rises to the top of the digester tank, where it can be collected and stored for various applications. The stored gas is used to drive a gas enginegenerator to produce clean electricity. The systems and methods of the present invention provide waste management and environmental benefits by diverting organic waste from landfills, reducing powerful greenhouse gas methane emissions, and contributing to a circular economy approach. The utilization of food waste as fuel for energy production prevents the food waste from being sent to landfills. Food waste decomposition in landfills will produce methane, which has more than 80 times the greenhouse effect than carbon dioxide. In an embodiment, the clean energy is further produced from various energy sources such as solar panels, wind turbines, waste heat, and biomass. The storage device 103 is configured to store the biogas generated by the fermentation digester tank 102. The biogas is stored in the storage device 103 that drives the gas engine generator 106 to produce clean energy. The optional battery storage 107 stores clean energy produced from the gas engine generator 106. The fermentation digester tank 102, the storage device 103, the gas engine generator 106, and the optional battery storage 107 are installed in a central depot 110. The gas engine generator 106 transmits the clean energy to the optional battery storage 107 if any or to a load (not shown) coupled to the central depot 110. The load is further operable to be coupled to one or more electric vehicles (EVs) 114 to transmit clean energy i.e., electricity.

[0024] The processor 108 is configured by one or more modules executing as code to: track and monitor a plurality of parameters of the one or more EVs 114; monitor a charging process, a charging duration, and optimize the clean energy by integrating the one or more EVs 114 with the load; plan a trip for the one or more EVs 114 based on a plurality of factors; generate one or more reports to perform analysis on a plurality of metrics; collect data on the energy consumption and charging patterns of each electric vehicle in the fleet; and compute, based on the collected data, the carbon emissions avoidances during one or more of: the charging processes, and while driving the one or more EVs 114. Examples of the parameters include but are not limited to a location, battery status, charging status, and healthdata of the EVs 114. Examples of the plurality of factors include but are not limited to a range of one or more EVs 114, one or more traffic conditions, and one or more routes. Examples of the plurality of metrics include but are not limited to the performance of the fleet, energy usage, and a plurality of charging patterns. In an embodiment, the processor 108 is configured to analyze the performance of a battery, degradation, and health of the battery to maximize battery life and identify one or more potential issues.

[0025] In an embodiment, the code executed by the processor 108 is related to fleet management software. The processor 108 is configured to manage driver information, driving behavior, and schedules to encourage efficient driving practices and maximize range. The processor 108 is configured to monitor and analyze energy consumption and overall fleet operational expenses. This helps identify cost-saving opportunities. The fleet management software can generate reports on the carbon emissions avoidance by the fleet, broken down by vehicle or overall fleet performance. It can also calculate the number of carbon credits that can be sold. These reports provide valuable insights to fleet managers, enabling them to understand the environmental impact of their fleet and make informed decisions. Further, the EV fleet management software can incorporate sustainability analytics to provide comprehensive insights into the environmental impact of the fleet. It can track and report on key metrics such as total carbon emissions, emissions per mile / kilometer, and emissions reductions achieved through the use of electric vehicles. Thus, the EV fleet management software monitors, streamlines, optimizes, tracks, and manages the carbon emissions in the management of the electric vehicle (EV) fleet.

[0026] The processor 108 may include at least one data processor for executing program components for executing user- or system-generated requests. The processor 108 may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating-point units, graphics processing units, digital signalprocessing units, etc. The processor 108 may include a microprocessor, such as AMD®ATHLON® microprocessor, DURON® microprocessor OR OPTERON® microprocessor, ARM's application, embedded or secure processors, IBM® POWERPC®, INTEL'S CORE® processor, ITANIUM® processor, XEON® processor, CELERON® processor or other line of processors, etc. The processor 108 may be implemented using a mainframe, distributed processor, multi-core, parallel, grid, or other architectures. Some embodiments may utilize embedded technologies like application- specific integrated circuits (ASICs), digital signal processors (DSPs), Field Programmable Gate Arrays (FPGAs), cloud services, etc.

[0027] According to an embodiment herein, the central depot 110 may include a communication module (not shown) that is connected to the processor 108 over a network 112. Examples of the communication module include but are not limited to a transmitter, a receiver, and a transceiver. In an exemplary embodiment, the central depot is a delivery logistic warehouse where all the electric vehicles need to be at the warehouse to collect the goods for distribution. The fermentation / biogas digester tank, gas engine generator, and optional battery storage are built in the central depot for on-site production and utilization of clean energy by the EV fleet. In an embodiment, the data related to tracking and monitoring of the EVs, charging patterns, battery status, and battery health is displayed over one or more computing devices 104-1, 104-2, 104-3, and 104-N (hereinafter referred to as 104) associated with one or more users. Examples of computing devices 104 include but are not limited to a smartphone, a laptop, a computer, a tablet, and a mobile device. Examples of the users include but are not limited to an administrator of the system, driver, owner of the charging depot, etc. In another embodiment, the computing devices 104 are connected with the processor 108 over the network 112.

[0028] The resulting electricity is used to charge EVs on-site, thereby EV is using clean electricity energy instead of a grid supply of mostly fossil fuel energy. The present systemprovides environmental decarbonization benefits as follow, avoidance of methane emissions in landfill from the decomposition of food waste, avoidance of carbon emissions from the production of gasoline and diesel, avoidance of carbon emissions from the tailpipes of vehicles, avoidance of carbon emissions from grid electricity which is produced from fossil fuels.

[0029] In an embodiment, the processor 108 may connected with an application server that stores and processes various data related to electric vehicles (EVs) and charging patterns. As used herein, an “application server” is any server computer capable of performing functions stored in a computer-readable storage medium of the application server. The application server may download the program code to the processor 108 for use on the present system, computing devices, client computers, or electronic devices. Alternatively, the application server can be remote so that complex computing and calculations can be performed at a location with higher performance capabilities which helps keep the present system simpler and more economical.

[0030] Network 112 may be a wired or a wireless network, and the examples may include but are not limited to the Internet, Wireless Local Area Networks (WLANs), Wi-Fi, Long Term Evolution (LTE), Worldwide Interoperability for Microwave Access (WiMAX), and General Packet Radio Service (GPRS). The one or more computing devices 104 may comprise one or more data processors and one or more memories. The one or more memories may include computer-readable code that may be executable by one or more processors to perform predetermined operations. The memories may be a non-volatile memory or a volatile memory. Examples of nonvolatile memory may include, but are not limited to flash memory, Read Only Memory (ROM), a Programmable ROM (PROM), Erasable PROM (EPROM), and Electrically EPROM (EEPROM) memory. Examples of volatile memory may include butare not limited to Dynamic Random-Access Memory (DRAM), and Static Random-AccessMemory (SRAM).

[0031] If it is determined that setting up a central depot is unfeasible due to the dispersed nature of EV operational modes and impracticality of visiting a central depot, the fermentation digester tank 102, the storage device 103, the gas engine generator 106, and the optional battery storage 107 can be constructed at any suitable location. The clean energy produced can then be sold to the grid based on a predefined arrangement. EVs can subsequently charge from the grid and receive carbon credits for the amount of clean energy supplied.

[0032] Further, if it is determined that setting up a central depot is unfeasible due to the dispersed nature of EV operational modes and the impracticality of visiting a central depot, the fermentation digester tank 102, the storage device 103, the gas engine generator 106, and the optional battery storage 107 can be constructed at any suitable location. The clean energy produced can be utilized at that location for non-EV purposes, replacing fossil fuel-based grid energy. EVs can subsequently charge from the grid and receive carbon credits equivalent to the amount of clean energy being produced and utilized at that location.

[0033] FIG. 2 is a flowchart 200 of a clean energy supply and management method to incentivize electric vehicles (EVs) logistic fleet, in accordance with one embodiment of the present disclosure. The method includes a step 202 of producing, by a fermentation digester tank, biogas from agricultural residues, food waste, and sewage sludge by performing an anaerobic digestion. The method includes a step 204 of storing the biogas generated by the fermentation digester tank in a storage device. The method includes a step 206 of driving, by the biogas, a gas engine generator to produce clean energy. The method includes a step 208 of storing the clean energy generated by the gas engine generator in an optional battery storage device. The fermentation digester tank, the storage device, the gas engine generator,and the optional battery storage are installed in a central depot. The method includes a step210 of transmitting, by the gas engine generator, the clean energy to a load coupled to the central depot. The method includes an optional step 212 of transmitting, by the gas engine generator, the clean energy to optional battery storage, then to a load coupled to the central depot. The load is further operable to be coupled to one or more electric vehicles (EVs) to transmit the clean energy. The method includes a step 214 of tracking and monitoring, by a processor, a plurality of parameters of the one or more EVs. Examples of the parameters include but are not limited to the location, battery status, charging status, and health data of the one or more EVs. The method includes a step 216 of monitoring, by the processor, a charging process, a charging duration, and optimizing the clean energy by integrating one or more EVs with the load. The method includes a step 218 of planning, by the processor, a trip for the one or more EVs based on a plurality of factors. Examples of the plurality of factors include but are not limited to a range of one or more EVs, one or more traffic conditions, and one or more routes. The method includes a step 220 of generating, by the processor, one or more reports to perform analysis on a plurality of metrics. Examples of the plurality of metrics include but are not limited to the performance of the fleet, energy usage, and a plurality of charging patterns. The method includes a step 222 of collecting, by the processor, data on the energy consumption and charging patterns of each electric vehicle in the fleet. The method includes a step 224 of computing, by the processor, based on the collected data, the carbon emissions avoidances during the charging processes, or while driving the one or more EVs. The method includes a step 226 of analyzing, by the processor, the performance of a battery, degradation, and health of the battery to maximize battery life and identify one or more potential issues.

[0034] The utilization of clean energy sources for electric vehicle (EV) charging holds the potential to generate carbon credits, serving as a powerful incentive for fleet owners toembrace EV technology. The innovative approach presented in this specification not only reduces greenhouse gas emissions but also provides a tangible financial benefit, encouraging the widespread adoption of environmentally friendly transportation solutions.

[0035] Unless otherwise defined, all terms (including technical and scientific terms) used in this disclosure have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. In this specification, “mobile phone” and “smartphone” are interchangeable as are “tablet” and “smart tablet.” It is to be understood that the phrases or terms employed by the present invention are for description and not for limitation. As will be appreciated by one of the skills in the art, the present disclosure may be embodied as a device, system, method, or computer program product. Further, the present invention may take the form of a computer program product on a computer-readable storage medium having computer-usable program code embodied in the medium. The present systems and methods have been described above with reference to specific examples. However, other embodiments and examples than the above description is equally possible within the scope of the present invention. The scope of the disclosure may only be limited by the appended patent claims. Even though modifications and changes may be suggested by the persons skilled in the art, it is the intention of the inventors and applicants to embody within the patent warranted heron all the changes and modifications as reasonably and properly come within the scope of the contribution the inventors and applicants to the art. The scope of the embodiments of the present invention is ascertained with the claims to be submitted at the time of filing the complete specification. Method steps can be performed in any order unless required otherwise by the context. In the specification and claims, a feature mentioned in the singular (e.g., using “a” or “an”) will be deemed to have an “at least one” or plural construction except where the context indicates such construction is unworkable. A person of skill in the art will also recognize that the embodiments discussed herein are reconfigurableand within the intended scope. For example, the dependent claims from one independent claim or dependent claim can be similarly made to depend on a different independent claim and / or dependent claim, unless prohibited by the context. In addition, as would be appreciated by a person of skill in the art, certain features or elements of a claim can be mixed and matched with other features or elements, even if not presented together at the time of filing. Similarly, as would be appreciated by a person of skill in the art, data, outputs, and readings from different described sensors, user inputs, and other sources can be used together, even if not presented together at the time of filing. The term “and / or” in a list means all list items present, some list items present, or one of the list items present unless such construction is limited by the context. Positional and directional terms described in this specification may be understood to be different than shown or described and should not limit the variations of embodiments possible from the claimed features that a person of ordinary skill in the art would understand from the specification, figures, and claims.

Claims

CLAIMS1. A clean energy supply and management system, comprising: a fermentation digester tank configured to produce biogas from one or more of: agricultural residues, food wastes, and sewage sludge, by performing an anaerobic digestion; a storage device configured to store the biogas generated by the fermentation digester tank; a gas engine generator to produce clean energy; an optional battery storage to store clean energy produced from the gas engine generator, wherein the biogas stored in the storage device drives the gas engine generator to produce the clean energy, wherein the fermentation digester tank, the storage device, the gas engine generator, and the optional battery storage are installed in a central depot, wherein the gas engine generator transmits the clean energy to a load coupled to the central depot or the gas engine generator transmits the clean energy to the optional battery storage and then to the load coupled to the central depot, wherein the load is further operable to be coupled to one or more electric vehicles (EVs) to transmit the clean energy; and a processor configured by one or more modules executing as code to: track and monitor a plurality of parameters of the one or more EVs; monitor a charging process, a charging duration, and optimize the clean energy by integrating the one or more EVs with the load; plan a trip for the one or more EVs based on a plurality of factors; generate one or more reports to perform analysis on a plurality of metrics;collect data on the energy consumption and charging patterns of each electric vehicle in the fleet; and compute, based on the collected data, the carbon emissions avoidances during the charging processes and / or while driving the one or more EVs.

2. The clean energy supply and management system as claimed in claim 1, wherein the clean energy is further produced from one or more of energy sources comprising solar panels, wind turbines, waste heat, and biomass.

3. The clean energy supply and management system as claimed in claim 1, wherein the plurality of parameters comprising a location, a battery status, a charging status, and a health data of the one or more EVs.

4. The clean energy supply and management system as claimed in claim 1, wherein the plurality of factors comprising a range of the one or more EVs, one or more traffic conditions, and one or more routes.

5. The clean energy supply and management system as claimed in claim 1, wherein the plurality of metrics comprising performance of the fleet, energy usage, and a plurality of charging patterns.

6. The clean energy supply and management system as claimed in claim 1, wherein the processor is configured to analyze performance of a battery, degradation, and health of the battery to maximize battery life and identify one or more potential issues.

7. A clean energy supply and management method, comprising: producing, by a fermentation digester tank, biogas from one or more of: agricultural residues, food waste, and sewage sludge, by performing an anaerobic digestion;storing the biogas generated by the fermentation digester tank in a storage device; driving, by the biogas, a gas engine generator to produce clean energy; storing the clean energy generated by the gas engine generator in an optional battery storage device, wherein the fermentation digester tank, the storage device, the gas engine generator, and optional battery storage are installed in a central depot; transmitting, by the gas engine generator or the optional battery storage, the clean energy to a load coupled to the central depot, wherein the load is further operable to be coupled to one or more electric vehicles (EVs) to transmit the clean energy; tracking and monitoring, by a processor, a plurality of parameters of the one or more EVs; monitoring, by the processor, a charging process, a charging duration, and optimizing the clean energy by integrating the one or more EVs with the load; planning, by the processor, a trip for the one or more EVs based on a plurality of factors; generating, by the processor, one or more reports to perform analysis on a plurality of metrics, wherein the plurality of metrics comprising: performance of the fleet, energy usage, and a plurality of charging patterns; collecting, by the processor, data on the energy consumption and charging patterns of each electric vehicle in the fleet; and computing, by the processor, based on the collected data, the carbon emissions avoidances during the charging processes, and / or while driving the one or more EVs.

8. The clean energy supply and management method as claimed in claim 7, comprises: analyzing, by the processor, performance of a battery, degradation, and health of the battery to maximize battery life and identify one or more potential issues.

9. The clean energy supply and management method as claimed in claim 7, wherein the plurality of parameters comprising a location, a battery status, a charging status, and a health data of the one or more EVs.

10. The clean energy supply and management method as claimed in claim 7, wherein the plurality of factors comprising a range of the one or more EVs, one or more traffic conditions, and one or more routes.

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