Hybrid Optimization Model For Electric Renewable Research Articles

Off-grid PV/biomass/DG/battery hybrid renewable energy as a source of electricity for a farm facility

Reliable, cost-effective energy systems are pivotal for sustainable development in the agricultural sector. Using the energy balance analysis of the Hybrid Optimization Model for Electric Renewable (HOMER), this study presents a techno-economic assessment of a hybrid renewable energy system for a farm facility. The energy system components considered in the analysis include solar photovoltaics, wind turbines, diesel generators, biomass, and battery storage. The results shows that ten feasible energy systems can technically power the typical farm facility, with a PV-Biomass-DG battery being the best in terms of the total net present cost. The PV-Biomass-DG-battery systems consist of 561.023 kW of PV, 88 kW of diesel generator, 10 kW of biomass, 81 kW of converter, and 584 batteries operated in a load-following mode. When the cost of energy (COE) of EA1 0.206325 $/kWh is compared to EA7 0.407681 $/kWh, a difference of $0.201356 will be saved for every kWh. Also, a comparison of the operating cost of EA1, $65,713.23 and the operating cost of EA7 $212,027.4 showed a margin of $146,314.17 being saved. Energy systems EA3 and EA4 had the lowest carbon dioxide production levels of 15.8 kg annually, respectively. The simple payback period metrics increased from EA1 to EA6 between 2.97 years to 6.99 years. The result of the study shows that adopting a low-carbon energy transition is technically and economically viable for the agricultural sector, especially in developing countries.

Techno-economic analysis of solar, wind and biomass hybrid renewable energy systems in Bhorha village, India

The present study investigates the potential use of Hybrid Renewable Energy Systems (Solar photovoltaic, wind, biomass, and diesel), both with and without the inclusion of battery/supercapacitor storage in the Bhorha village, Bihar, India. A comprehensive assessment of different possible system configurations is conducted using hybrid optimization model for electric renewable (HOMER) software to determine the most economically viable and efficient system for the designated place. The current analysis is focused on six distinct cases in the village community, in view of sufficing the daily energy requirement of 615.625 kWh and a peak demand of 86.47 kW, pertaining to major factors viz. system efficiency, financial viability, and ecological consequences. The primary aim of the research is to elucidate the comparative analysis of energy generation for different proposed designs of hybrid renewable energy systems. Detailed techno-commercial assessments are also carried out to examine the energy production, consumption, and financial impacts of each HRES configuration. The research outcome of this study obtained from HOMER software reveals that the optimized hybrid system comprises 86.7 kW solar photovoltaic, 30 kW wind turbine, 5 kW biogas generator, a 50 kW diesel generator, 280 kWh battery bank with nominal capacity, and 38.8 kW converter to sustain the for energy needs of the nominated place. This system has a minimum cost of energy of 0.309 $/kWh with a net present cost of $854894 along with operating cost 51847 $/year and net carbon dioxide emission of 56728 kg/yr. The research offers useful insights for designers, scholars, and policymakers on the existing design constraints and policies of biomass-based hybrid systems for a safe, sustainable and independent green future for the generations to come.

CRITIC-TOPSIS Method

The increasing demand for electricity has driven the development of hybrid renewable energy systems (HRES) in developing countries and remote areas. HRES combines various renewable energy sources to overcome the limitations of each source by utilizing their respective strengths. Although HRES has advantages such as flexibility and low pollution, the development of renewable energy needs to consider environmental impacts and principles of sustainable development. This study aims to find the optimal configuration of a hybrid renewable energy system in the new capital region of Indonesia, namely IKN Nusantara in East Kalimantan province. We conducted a geospatial approach and literature review to gather relevant information, such as solar radiation data, hydropower potential, and biomass potential. We utilized the hybrid optimization model for electric renewables (HOMER) software to design the HRES, and we optimized the results using the multi-criteria decision-making (MCDM) method. The experimental results show that the combination of PV and hydro is the optimal configuration in terms of energy and environmental aspects, with a relative closeness value of 0.675 compared to the ideal solution. Therefore, the implementation of MCDM to evaluate and determine the best configuration of HRES in the IKN Nusantara region is worth considering for further research and development.

A techno-economic analysis of renewable hybrid energy systems for hydrogen production at refueling stations

A hydrogen fueling station is a facility designed to support the widespread use of hydrogen energy for the automotive industry. Substituting the use of fossil fuel in the road transport sector with hydrogen fuel generated from renewable sources can lead to environmental advantages. This study investigated a comprehensive analysis of three hybrid energy systems e.g., Photovoltaic -wind turbine-fuel cell-battery, Photovoltaic-wind turbine-battery, and Wind turbine-fuel cell-battery for hydrogen production and refueling station in the city of Muscat using Hybrid Optimization Model for Electrical Renewable (HOMER) software that assesses the viability of energy system to meet the required energy needs. The evaluation of the hybrid energy arrangements relies on the assessment of the renewable energy capacity at the location, the expenses, and optimization associated with different components, and the hydrogen demand. The results of the techno-economic analysis showed that the photovoltaic-wind turbine-battery energy system has the lowest net present cost (NPC), levelized cost of energy, and levelized cost of hydrogen of $ 529,361, $/kWh 0.0158, and $/kg 0.401 respectively, adjudging the system to be the most viable system for the refueling station in Muscat. The optimized result showed that the P-WT-B energy system comprised of 1000 kW of PV panel, 660 kW wind turbine, a 500 kW electrolyzer, a 100 1 kW h battery, a 1000 kg/L hydrogen tank, and a 492-kW converter that offered the lowest cost of energy, hydrogen, and net present cost compared to other energy systems. Furthermore, the return on investment and annual worth analysis positioned the Photovoltaic-wind turbine-battery energy system to be the best bet and optimal choice for the Muscat refueling station project.

A techno-economic perspective on efficient hybrid renewable energy solutions in Douala, Cameroon’s grid-connected systems

Cameroon is currently grappling with a significant energy crisis, which is adversely affecting its economy due to cost, reliability, and availability constraints within the power infrastructure. While electrochemical storage presents a potential remedy, its implementation faces hurdles like high costs and technical limitations. Conversely, generator-based systems, although a viable alternative, bring their own set of issues such as noise pollution and demanding maintenance requirements. This paper meticulously assesses a novel hybrid energy system specifically engineered to meet the diverse energy needs of Douala, Cameroon. By employing advanced simulation techniques, especially the Hybrid Optimization Model for Electric Renewable (HOMER) Pro program, the study carefully examines the intricacies of load demands across distinct consumer categories while accommodating varied pricing models. The paper offers a detailed analysis of the proposed grid-connected PV/Diesel/Generator system, aiming to gauge its performance, economic feasibility, and reliability in ensuring uninterrupted energy supply. Notably, the study unveils significant potential for cost reduction per kilowatt-hour, indicating promising updated rates of $0.07/kW, $0.08/kW, and $0.06/kW for low, medium, and high usage groups, respectively. Furthermore, the research underscores the importance of overcoming operational challenges and constraints such as temperature fluctuations, equipment costs, and regulatory compliance. It also acknowledges the impact of operational nuances like maintenance and grid integration on system efficiency. As the world progresses towards renewable energy adoption and hybrid systems, this investigation lays a strong foundation for future advancements in renewable energy integration and energy management strategies. It strives to create a sustainable energy ecosystem in Cameroon and beyond, where hybrid energy systems play a pivotal role in mitigating power deficiencies and supporting sustainable development.

Comprehensive techno-economic analysis of a standalone renewable energy system for simultaneous electrical load management and hydrogen generation for Fuel Cell Electric Vehicles

This research conducts a comprehensive analysis of renewable energy systems across five distinct geographic regions, focusing on economic power and hydrogen generation for community-based electrical load and Fuel Cell Electric Vehicles (FCEVs). The considered geographical regions include diverse regions across Pakistan and include Karachi, Awaran, Hyderabad, Nok Kundi, and Pasni. The objective is to identify systems with the least Levelized Cost of Energy (LCOE) for electricity and Levelized Cost of Hydrogen (LCOH) for hydrogen production, tailoring solutions to each location's unique characteristics. The study undertakes an evaluation of nine prospective configurations of renewable energy systems for a comprehensive techno-economic analysis, aiming to ascertain the most cost-effective and optimal system. Findings highlight the effectiveness of the combination of PV, WT, electrolyzer, battery bank, and hydrogen tank in Pasni, Balochistan, with a notable LCOE of 0.30 $/kWh and LCOH of 9.52 $/kg. This optimal configuration not only meets energy and hydrogen load demands but also presents considerable environmental benefits by reducing carbon emissions. The study emphasizes the effectiveness of Hybrid Optimization Model for Electric Renewables (HOMER) for modeling hybrid energy system for the considered case studies and underscores the potential of hydrogen technologies as alternatives to traditional battery banks for long-term energy storage, offering valuable insights into sustainable power generation and emission-free transportation.

Assessment of solar-biomass hybrid power system for decarbonizing and sustainable energy transition for academic building

Solar-biomass hybrid power system is a feasible approach for decarbonizing and achieving a sustainable energy transition in an academic building. This cutting-edge technology generates clean, sustainable power by fusing the advantages of biomass and solar energy. The present research analyses and optimises a Hybrid Renewable Energy System (HRES) for the Department of Mechanical Engineering, Delhi Technological University (located at 28°44' N and 77°06' E). Hybrid optimization model for electric renewable (HOMER) software is employed for simulation, and analysis primarily focuses on the techno-environomic assessment of the system. HRES is designed to fulfil daily energy consumption of 588 kWh at a peak load of 65 kW. System generates 3,76,780 kWh of power every year. The cost of energy (COE) is ₹16.96 (US$ 0.207)/kWh and the gross net present cost (NPC) is ₹41,603,969.8 (US$ 5,07,737). Throughout lifetime (25 years), biomass gasifier and solar PV contribute 23.4 % and 76.6 % of the total energy production. Around 161 metric tons of CO2 is prevented from entering the atmosphere. Therefore, proposed HRES is technically consistent, dependable, economically viable, and environmentally sustainable.

Design Optimization Of PV And WTE Integration In Electricity Supply System For Mandalay Urban Area

Hybrid energy systems, which combine two or more energy systems, arebecoming increasingly popular due to the rise in petroleum productprices, growing CO2 emission awareness, and advancements in renewableenergy technologies. These systems are being adopted to meet the energyand electricity demands of decentralized networks. In Myanmar, someareas still face significant challenges in accessing grid-based electricitysupply. In such cases, the hybrid renewable microgrid systems offer abetter alternative by reducing dependency on diesel fuel and meetingenergy demands in an environmentally friendly manner. To enhance thereliability of these hybrid systems, renewable sources can be integratedwith diesel generators and utility grid. This integration allows hybridsystems to compensate for the intermittent nature of renewable energysources and achieve higher overall energy efficiency. One of the mainadvantages of hybrid systems is their potential for energy autonomy, asthey are not reliant on a single energy source. This paper introduces anovel approach for designing a grid connected hybrid system thatincorporates photovoltaic, and biomass especially the municipal solidwaste. The Hybrid optimization model for electrical renewable (HOMER)is a powerful optimization model that simplifies the evaluation of off-gridand grid-connected power system designs for various applications. In thispaper, the grid connected hybrid renewable energy system is designedand analyze for Mandalay region.

An economic sustainability analysis of hybrid solar-biomass system for sugar industries in India

Renewable energy systems have been gaining more importance in developing countries not only due to the increase in concern towards environmental sustainability but also resolving the looming energy crisis that bewilders economic development. Till date, inadequate attention has been paid to the integration of Renewable Energy (RE) sources in the industrial sectors of TamilNadu, India. Since industries have been key drivers of electricity consumption in the past decade, this paper aims at the simulation and analysis of hybrid Biomass-Solar Photovoltaic system for electrification of the process industries, especially sugar industries. The main objective of the paper is to minimize the cost of energy and Green House Gas (GHG) emissions leading to sustainable development. The economic feasibility analysis is performed using Hybrid Optimization Model for Electric Renewables (HOMER) software and the sustainability analysis with the help of Clean Development Mechanism that can be adopted for the sugar industry. The simulation results support the effectiveness of the proposed grid connected solar-biomass hybrid system for the sugar industry with the net present cost of 16 million dollars (M$) combined with emission reductions of 6,266 tons/year.

A case study of a neighborhood in Douala examining the technical feasibility of a hybrid renewable energy system connected to the grid for energy and oxygen production in the fight against respiratory diseases

The world is increasingly focusing its attention on the rapid growth in electricity consumption, a concern shared by both industrialized and emerging nations. Meeting this escalating demand has become crucial, necessitating a shift towards sustainable energy use. Renewable energy sources have emerged as a popular choice for both off-grid and grid-connected installations as a means to bridge the efficiency gap. In this context, the present paper explores the potential of supplying electricity to a neighborhood in Cameroon comprising 100 homes through the integration of solar photovoltaic cells and electrolyzers. It is worth noting that Cameroon as a whole continues to grapple with severe social, economic, and physical challenges. Some regions within the country face significant obstacles in accessing quality healthcare, particularly for conditions like respiratory illnesses. This study employs an intelligent energy management method to design an optimal power flow control system, aimed at enhancing system stability during power outages and load fluctuations by effectively utilizing available storage capacity. The analysis was conducted using the Hybrid Optimization Model for Electric Renewable (HOMER) program. Our calculations reveal that a daily output of 0.123 kg mass of oxygen is produced, with renewable factor (RF) values indicating an 85.1 % integration of renewable sources, and the crucial parameter of Loss of Power Supply Probability (LPSP) reaching 0 %. These findings demonstrate that it is feasible for 100 homes to reliably generate and connect to the grid for electricity. Moreover, this research can serve as a solid foundation for the development of hybrid renewable energy systems to address the challenge of treating respiratory disorders such as COVID-19. These results underscore the significance of this study for various stakeholders, including decision-makers, policymakers, and investors in Cameroon and beyond. The ultimate goal is to promote national growth by improving socio-medical conditions.

Technical assessment of a stand-alone hybrid renewable system for energy and oxygen optimal production for fishes farming in a residential building using HOMER pro

Electricity holds both economic significance and strategic importance in many regions globally. Persistent challenges related to electricity generation, encompassing aspects like availability, quality, and cost, have impeded the progress of nations for an extended period. While conventional electrochemical storage systems have been the benchmark, they are plagued by issues such as high expenses, technical limitations in power output, and restricted storage capacity. Power generation facilities come with their own array of problems, including noise pollution, environmental impacts, and suboptimal performance, exacerbating the existing concerns of reliability and maintenance. To navigate the path of sustainable global development amidst a sharp upswing in energy consumption, it becomes imperative to foster innovative energy solutions. Independent renewable energy systems (RES) represent a promising avenue for reshaping the prevailing reliance on conventional power grids. The Hybrid Renewable Energy System (HRES) deserves careful calibration, particularly considering the considerable load fluctuations and the need for cost efficiency. The study considers a standalone HRES in a residential area on Manoka Island, where fish farming is a primary activity. This dwelling exhibits a daily electricity consumption averaging at 9.28 kWh, with peak demand hitting 0.88 kW. To evaluate the suitability of the Hybrid Optimization Model for Electric Renewable (HOMER) program, the study investigates the optimal energy generation mix for both sustaining the fish farming industry and fulfilling the energy requirements of the chosen building. The optimization process identifies four key parameters that undergo thorough assessment in this analysis. Delving into the specifics, the study attains an impressive renewable fraction (RF) of 92.5% and achieves a Deficit of Power Supply Probability (DPSP) of 0%. Furthermore, the production of 50 kg of O2 and the emission of 1.69 kg of carbon annually prove adequate for constructing a reliable and environmentally sound energy system. In a broader sense, this research serves as a compelling case study, elucidating the concept of hybrid energy systems within the framework of eco-friendly and sustainable power generation. The study not only underscores the substantial potential of RES for the country but also constitutes a significant stride for researchers active in this field.

Building Resilient communities: Techno-economic assessment of standalone off-grid PV powered net zero energy (NZE) villages

The use of renewable energy resources for off-grid electricity production has gained more importance in recent decades for meeting the energy needs of remote areas, even with limited resources. This research aims to provide an optimized and cost-effective approach for generating electricity in rural areas. By using current methodology, a stand alone energy source of PV is designed for development of NZE village. Solar irradiance of the selected location is 6.16 kWh/m2/day while the estimated electric load data for whole village is 64.259 kWh. Electric load and solar irradiance of the loaction is used in the Hybrid Optimization Model for Electric Renewable (HOMER) to design and analyze the techno-economic feasibility of the stand alone PV system to meet the load requirements. The study obtained the total Net Present Cost (NPC) of $0.511 M and the Cost Of Electricity (COE) is 2.26$/unit through the HOMER analysis, which is further refined by performing sensitivity analysis using parameters such as PV panel price, battery price, solar irradiance, variations in electric load and discount rates. According to the results, system is feasibile by annual electricity production of 30,078 kWh with initial capital investment of $0.434 M. This analysis compared the system performance and showed that it is economically and technically viable to meet the complete electricity needs of the village with a payback period of 7.2 years. Research can be utilized for policy making and implementation of NZE approach in remote areas by the government.

Techno-economic feasibility study for the use of photovoltaic energy on the south-east algerian farms

This works aims to study the technological feasibility and economic viability of standalone Photovoltaic system for the electrification of farms in the south-east of Algeria. The PV system power plant is sized to supply potato farm in Akfadou-El Oued. The standalone PV system was designed and simulated using the Hybrid Optimization Model for Electric Renewable (HOMER). Simulation results showed that a high capital cost is needed to install the PV system with a high cost of energy reaches 30 DA/kWh.

Dominicus Danardono Dwi Prija Tjahjana, Suyitno , Rendy Adhi Rachmanto, Wibawa Endra Juwana, Yudin Joko Prasojo, Singgih Dwi Prasetyo, Zainal Arifin

Electricity is fundamental to both urban and rural livelihoods. However, with the impending depletion of fossil fuels, an urgent transition towards sustainable and environmentally friendly renewable energy sources is necessary for electricity generation. The Hybrid Renewable Energy System (HRES), which amalgamates various renewable energy sources, offers a promising solution. This study investigates the economic viability of a photovoltaic (PV)-wind turbine hybrid microgrid system for off-grid electrification in five distinct cities in Papua, Indonesia. A simulation of the hybrid system was conducted using the Hybrid Optimization Model for Electric Renewable (HOMER) application, leveraging local solar and wind resource data. The simulation results indicated that Waropen city yielded the most optimal PV-wind turbine hybrid system, exhibiting the lowest Net Present Cost (NPC) of Rp397,591,000.00 and Cost of Energy (COE) of Rp 5,513.37/kWh. This system was capable of generating 9,098 kWh/year of electricity. Consequently, the proposed PV-wind turbine hybrid microgrid system emerges as an economically feasible solution for off-grid electrification in Papua, underscoring the potential of renewable energy sources in addressing the global energy crisis.

Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria

The main goal of this paper is to design an efficient renewable energy system that meets the required electricity demands. Consequently, it is essential to find the most cost-effective hybrid system that can reduce energy costs and provide access to the required electricity generation. An international school in New Administrative Capital in New Cairo, Egypt was chosen as a study area for the proposed system. Solar, wind, and biomass resources are abundant at the chosen location throughout the year. Using the HOMER (hybrid optimization model for electric renewables) software, eight distinct models of renewable energy hybrid systems were designed, simulated, and optimized to meet the required load in this study. For wind and solar resources, the National Aeronautics and Space Administration (NASA) provided the input data; for biomass resources, real-time field data were used for the selected study site. In this study, lithium-ion and lead acid batteries were used to choose the most cost-effective option. The hybrid power system's PV, wind, and biomass generators were utilized to meet the load demand. The overabundance of energy requests was utilized to charge the battery banks as required when accessible to cover the load requirements during times of low energy production.

Techno-economic assessment on hybrid energy storage systems comprising hydrogen and batteries: A case study in Belgium

This paper introduces a Techno-Economic Assessment (TEA) on present and future scenarios of different energy storage technologies comprising hydrogen and batteries: Battery Energy Storage System (BESS), Hydrogen Energy Storage System (H2ESS), and Hybrid Energy Storage System (HESS). These three configurations were assessed for different time horizons: 2019, 2022 and 2030, under both on-grid and off-grid conditions. For 2030, a sensitivity analysis under different energy scenarios was performed, covering other trends in on-grid electric consumption and prices, CO2 taxation and the evolution of hydrogen technology prices from 2019 until 2030. The selected case study is the Research Park Zellik (RPZ), a CO2-neutral sustainable Local Energy Community (LEC) in Zellik, Belgium. The software HOMER (Hybrid Optimisation Model for Electric Renewable) has been selected to design, model and optimise the defined case study. The results showed that BESS was the most competitive when the electric grid was available among the three possible storage options. Additionally, HESS was overall more competitive than H2ESS-only, regardless of the grid connection mode. Finally, as per HESS, hydrogen was proved to play a complementary role when combined with batteries, enhancing the flexibility of the microgrid and enabling deeper decarbonisation by reducing the electricity bought from the grid, increasing renewable energy production and balancing toward an island operating mode.

Optimizing Integration of Fuel Cell Technology in Renewable Energy-Based Microgrids for Sustainable and Cost-Effective Energy

This article presents a cost-effective and reliable solution for meeting the energy demands of remote areas through the integration of multiple renewable energy sources. The proposed system aims to reduce dependence on fossil fuels and promote sustainable development by utilizing accessible energy resources in a self-contained microgrid. Using the Hybrid Optimization Model for Electric Renewable (HOMER) software, the study examined the optimal combination of energy sources and storage technologies for an integrated hybrid renewable energy system (IHRES) in the Patiala location of Punjab. The total life cycle cost (TLCC) is the main objective of this manuscript. The HOMER result is taken as a reference, and the results are compared with the optimization hybrid algorithm (PSORSA). From this, it is clear that the proposed algorithm has less TLCC as compared to others. Two combinations of energy sources and storage technologies were considered, namely solar photovoltaic (PV)/battery and solar PV/fuel cell (FC). The results showed that the solar PV/FC combination is more cost-effective, reliable, and efficient than the solar PV/battery combination. Additionally, the IHRES strategy was found to be more economically viable than the single energy source system, with lower total life cycle costs and greater reliability and efficiency. Overall, the proposed IHRES model offers a promising solution for meeting energy demands in remote areas while reducing dependence on fossil fuels and promoting sustainable development.

Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program

Microgrid hybrid renewable energy sources with green energy have become a need for the environment. Electric vehicle (EV) contribution is another revolution in clean energy. The Micro-grid with hybrid renewable energy (HREs) is a cost-effective, eco-friendly solution.The main contribution of the proposed work is; (i) to analyze the impact of the operating reserve power, battery energy storage system (BESS), renewable penetration percentage, and demand response program (DRP) for the EVs load with HREs integration. (ii) minimization of the net present cost (NPC) and Levelized cost of energy (LCOE) of the system with zero unmet HREs, (iii) obtaining the techno-economic analysis of the different combinations of hybrid energy sources as Photovoltaic/Wind-Turbin/Diesel Generator and BESS, with EV load growth. The annual energy purchased and sold from the grid has been reduced by 15.35% and increased by 42.98%, respectively, considering DRP. The NPC of the system has been reduced by 62.62%, considering the BESS. The Hybrid Optimization Model for Electric Renewable (HOMER) software with MATLAB R21a interface has been used for the analysis. This paper represents the feasibility of energy storage with the HREs management study for EV load considering techno-economic, cost-effective, and economic dispatch for feasibility analysis of Hawai Island, USA.

A Hybrid Photovoltaic/Diesel System for Off-Grid Applications in Lubumbashi, DR Congo: A HOMER Pro Modeling and Optimization Study

In Lubumbashi, the capital of Haut Katanga in the Democratic Republic of the Congo (DR Congo), diesel power plants are a common source of electricity. The need to utilize local renewable energy sources in DR Congo has increased due to the unreliability of the state grid and the rising cost of running diesel generators. Solar photovoltaic (PV) panels and batteries, in particular, have recently recorded significant price drops. It is important for operators and suppliers to choose optimal generators together with a renewable energy system to lessen the energy deficit. Diesel generators are still widely used in DRC, but their efficiency pales in contrast to that of more recent power facilities. Consuming fossil fuels results in high expenses for upkeep and operation, in addition to severe environmental damage. This study assessed the feasibility of using local weather and technical data to evaluate the efficiency of a diesel power plant hybridized with a PV system. The Hybrid Optimization Model for Electric Renewable (HOMER) simulations suggest that the hybrid system schedule is preferable due to its many economic and environmental advantages for the local community and its inhabitants. The promotion of such a hybrid system may encourage the sustainable economic development of a stable source of electricity for the Congo Region.

A feasibility study and cost-benefit analysis of an off-grid hybrid system for a remote area electrification

Off-grid power production utilizing renewable sources of power has become more significant and viable to meet the limited demands of remote locations. The primary goal of this study is to develop an economic and optimal hybrid PV/Biogas configuration for power production for rural common facilities, including one Primary school, Junior school, and Panchayat Ghar buildings of Sarai Jairam village in Uttar Pradesh, India. Data on the electric load was gathered for two schools and Panchayat Ghar. The PV/biogas hybrid configuration was designed utilizing the Hybrid Optimization Model for Electric Renewable (HOMER), and techno-economic analysis is carried out to fulfill the load requirements. The available biomass potential and the data on solar irradiance of the study area were utilized in the HOMER software to carry out the analysis. The HOMER analysis produced a solution that included total net present cost (NPC) and cost of electricity (COE), and these results were then further improved using sensitivity analysis. The sensitivity analysis employed sensitivity parameters like biomass potential, biomass pricing, solar irradiance, and variation in loads. Based on the NPC and COE, this analysis evaluates the system performance and demonstrates that it is techno-economically feasible.