Biogas Generator Research Articles

Optimal power dispatch in microgrids using mixed-integer linear programming

Abstract As greenhouse gases emissions continue to rise, society is actively seeking methods to reduce them. Microgrids (MGs), which predominantly consist of renewable energy sources, play a significant role in achieving this objective. This paper proposes an optimized methodology for power dispatch in MGs using mixed-integer linear programming (MILP). The MGs include photovoltaic systems, wind turbines, biogas (BG) generators, battery energy storage systems (BESS), electric vehicles (EV), and loads. The model features an objective function focused on cost minimization, power balance, and the necessary limits and constraints for the system’s safe operation. Real-time pricing is employed for energy transactions between the MGs and the main grid. The results demonstrate a cost-efficient operation for the proposed system comprising two MGs and the main grid. During periods of negative power balance, the demand was met by discharging the BESS, EV’s battery, or purchasing energy from the grid. The BESS was charged when energy prices were low and discharged during peak demand periods and high energy prices. The intermittent nature of renewable sources necessitates an efficient management system to ensure reliable operation. Additionally, storage systems help mitigate the variability in generation. The BG generator was another crucial component for power supply due to its flexibility. Integrating these components into the system improved reliability and ensured a secure and balanced operation.

Hybrid renewable energy systems for sustainable power supply in remote location: Techno-economic and environmental assessment

Electricity supply is inconsistent and unreliable in many remote areas of India, where depending solely on a single renewable energy source is impractical. In this context, this study investigates the potential of off-grid hybrid renewable energy systems (HRES) to meet the energy needs of a village community in India. Techno-economic analysis and life cycle assessment have been employed to compare eleven HRES combinations which combine photovoltaic (PV), wind turbine (WT), battery (BAT), diesel generator (DG), biogas generator (BG), converter (CONV), and electrolyser (ELEC). By optimising the size and capacity of each component in HRES, this study aims to identify the combination with the lowest levelised cost of electricity (LCOE). This research aligns with United Nations Sustainable Development Goal No. 7 to seek “Affordable and Clean Energy”. The findings highlight that HRES comprising PV/WT/BAT/CONV/DG exhibits the lowest LCOE (0.319 $/kWh) and net present cost (6.81 M$) among all combinations. In systems with partial reliance on diesel, integrating both PV and WT could reduce diesel consumption and increase the renewable fraction to 87.4 %. For HRES involving PV, a significant contribution to greenhouse gas emissions occurs during the construction stage. The WT/DG combination, with its high diesel dependency, has the largest global warming potential. The efforts from this study provide valuable insights into determining the optimal HRES for remote communities by considering their economic and environmental factors.

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.

Techno-economic analysis and optimization of a hybrid solar-wind-biomass-battery framework for the electrification of a remote area: A case study

An off-grid hybrid energy framework on the basis of wind turbines and photovoltaic panels as the primary source of energy and a biogas generator and energy storage unit as a back-up system, was considered for clean energy generation in a rural area in Semnan, Iran. This study was aimed at designing an optimized hybrid renewable framework with minimal costs and CO2 emissions and highest reliability, utilizing comprehensive modeling based on two energy management strategies. The decision-making variables in this work were the type and number of wind turbines, number of storage units, capacity of solar panels, and the capacity of biogas generator. Then variations in turbine model, inflation rate and biofuel prices and their effect on the optimal design of the hybrid framework was investigated in a range of uncertainties (0, 1, and 2.5 %). Additionally, the powerplant emissions penalty cost rate was also considered. Eventually, the optimal hybrid frameworks were economically and environmentally compared with a stand-alone diesel generator. Optimization results confirmed the superiority of the proposed hybrid wind-solar-biomass-battery system in comparison with other investigated systems. The cost of energy for the optimal design including biogas generator (22 kW), photovoltaic panels (30.7 kW), a 10 kW wind turbine, 11 batteries and an inverter (15.1 kW), while considering the inflation rate of 10 % and the uncertainty rate of 0 %, is equal to 0.201 $/kWh. Additionally, the selected optimal design emitted 97 % less CO2 annually, in comparison with the similarly-sized diesel-based energy system.

Feasibility study of the hybrid biogas-photovoltaic energy system in poultry and swine farms

This paper aims to evaluate the use of a hybrid photovoltaic-biogas grid-connected system in a rural property at Rio Verde region. The study focused on technical and cost issues of a rural property with swine and chicken production, located in the state of Goiás, Brazil. A comparative analysis of the costs of the hybrid system after optimization was made using HOMER© (Hybrid Optimization Model for Electric Renewables) software. The analysis shows that the optimal system’s initial cost, net present cost, electricity cost with the photovoltaic-biogas on grid system is US$ 280.180, US$ 661.682, and 0,082 US$.kWh-1, respectively. The main cost of the hybrid photovoltaic-biogas energy system consists of the biogas generator, biodigesters, inverters with the photovoltaic modules. In the short term, the implementation of the hybrid photovoltaic biogas system in the region is an interesting alternative for farmers considering the sustainability of agribusiness.

Techno-economic and environmental analysis of biogas-based hybrid renewable energy systems: A case study for a small-scale livestock farm

Biogas technology offers a significant benefit in enabling energy generation from distributed sources of biomass through its easy scalability. This study aimed to conduct the technical, economic, and environmental analysis of biogas-based hybrid renewable energy systems in a small-scale livestock farm located in the rural area of the Central Anatolia region in Türkiye. The HOMER software was used to analyze a total of five scenarios. These scenarios are hybrid combinations of a biogas generator, PV panels and wind turbines. The hybrid scenarios were evaluated by comparing them to each other and to the base scenario, which only has a grid connection. The optimal system has been determined to be the grid-connected Biogas/PV panel hybrid configuration, with an energy cost of 0.0688 $/kWh and a net present cost of $70,777. The optimal system has a renewable fraction of 89.9 % and a CO2 emissions mitigation potential of 13,066 kg/year compared to the base scenario. Furthermore, sensitivity analysis for various input parameters such as grid sellback rate, interest rate and load demand was performed to assess the impact of changes in these parameters on the system. Sensitivity analysis results show that increased grid sellback rates can significantly enhance financial metrics and reduce the payback period from 13.13 years to 6.63 years.

Sustainable rural electrification: Energy-economic feasibility analysis of autonomous hydrogen-based hybrid energy system

Pakistan has endured a severe power shortage for the past decade, with an installed capacity insufficient to meet the escalating demand. This dire situation results in catastrophic power breakdowns lasting 12 h in cities and 18 h in rural areas daily, and unfortunately, the outlook indicates it may worsen over time. The energy deficit is taking a toll on the country's overall economy, causing significant damage. This study focuses on designing a rural hybrid renewable energy system (HRES) to provide stable power to a remote village in Pakistan's Bannu district. The proposed HRES includes photovoltaic panels (PV), fuel cells (FC), and a biogas generator (BG). This paper addresses Pakistan's power shortage crisis and offers an economically viable solution through the rural HRES design, ensuring a sustainable and resilient energy future. Robustness, sensitivity, and breakeven analyses confirm the system's viability and ability to provide the community with uninterrupted electricity. The research demonstrates a cost of energy (COE) of $0.41/kWh and a total net present cost (TNPC) of $199,081 for the HRES. Additionally, the study compares the performance of the proposed system with state-of-the-art alternatives.

Techno-Economic Analysis of Solar, Wind, and Biomass Hybrid Renewable Energy Systems to Meet Electricity Demand of a Small Village in Bihar State of India

This study examines the potential use of Hybrid Renewable Energy Systems (consisting of photovoltaic, wind, bio, and diesel sources) both with and without the inclusion of battery storage in the eastern region of India. An evaluation is conducted to determine the economic viability of several system configurations, and the most efficient system is selected using HOMER software. The investigation focused on six distinct scenarios to meet the energy needs of a village community. The goal was to satisfy a daily load need of 1093.7 kWh, with a peak demand of 153.63 kW. The study examined many factors, such as system efficiency, financial viability, and ecological consequences. The primary aim of the research was to compare the power costs associated with different designs of HRES. Detailed techno-commercial assessments were carried out to examine the energy production, consumption, and financial impacts of each scenario. This research provides valuable insights for individuals and organizations seeking reliable and long-lasting energy solutions by analyzing the potential benefits and drawbacks of implementing HRES in rural areas. An evaluation is conducted to determine the energy contribution of each element within an RES, as well as the influence of HRES on energy expenses and net present value. The findings of this study reveal that the optimized hybrid system comprises 133 kW photovoltaic arrays, a 130-kW wind turbine, a 0.2 kW biogas generator, a 100-kW diesel generator, a 540-kWh battery bank with nominal capacity, and a 58-kW converter. This system has a minimum COE of 0.347$/kWh and NPC of $1.71M. The research offers useful insights for designers, scholars, and policymakers on the existing design constraints and policies of biomass-based hybrid systems.

Enviro-economic and optimal hybrid energy system: Photovoltaic–biogas–hydro–battery system in rural areas of Pakistan

To satisfy the electricity needs of a village in Tangi, northwest Pakistan, the present research can design and evaluate the environmental and economical aspects of an optimal hybrid photovoltaic-biogas-hydropower-battery energy sustainable system (PV-BG-HP-BESS). This framework integrates various renewable energy sources, delivering a modern, efficient approach to sustainable energy solutions. The HOMER Pro software is utilized to optimize the most economical and effective hybrid energy system. The results showed that the proposed hybrid system comprising 91.4 kWp PV modules, 19.6 kW hydropower, a 50 kW biogas generator (BG), 36 batteries, and a 60.6 kW converter was the most economical choice. This system, which used the cyclic charging (CC) method, had a cost of energy (COE) of 0.0728 $/kWh and a total net present cost (NPC) of $152,242. The suggested hybrid energy system for rural areas of Pakistan includes photovoltaic (PV), biogas (BG), hydro, and battery components to provide a dependable and sustainable power supply. This system minimizes the need for expensive fossil fuels while simultaneously minimizing environmental impact by lowering pollutants and greenhouse gas emissions. The system's annual electricity production is 294,782 kWh, with PV leads at 59.4%, BG at 6.02%, and hydro at 34.6%, ensuring uninterrupted power generation even in remote areas. The unmet load, extra electricity, and capacity shortage illustrate the reliability of the system and make it possible to address rural electrification challenges while supporting sustainable development and economic growth. Moreover, the outcomes of the proposed hybrid system dominate the previous studies in multiple objectives, including cost and sensitivity analysis, when compared.

Production of biobased polyethylene terephthalate and its precursors for diversification in the global sugarcane industry

The technical and economic viability of producing fully bio-based polyethylene terephthalate (PET) or its monomers was investigated. First generation (1 G) biorefineries, utilizing A-molasses, and combined first and second generation (1G2G) biorefineries, utilizing molasses and sugarcane bagasse and brown leaves, were considered. Simulations were developed for self-sufficient biorefineries, where the energy demands were met by utilizing the existing sugar mill boiler, accompanied by a new medium-pressure boiler and biogas generator. 1G2G scenarios required the replacement of the sugar mill boiler with a new, high-efficiency combined heat and power (CHP) plant, where electricity and useful heat were generated from a portion of 2 G biomass and other residues. 1 G PET was unprofitable at a minimum selling price (MSP) of $2946.t−1. 1 G production of Ethylene ($1847.t−1), monoethylene glycol (MEG) ($1648.t−1), 5-Hydroxymethylfurfural (HMF) ($1576.t−1) and iso-butanol (iButOH) ($1292.t−1) were more economically viable than PET, terephthalic acid (TPA) ($2689.t−1) and p-xylene (PX) ($2983.t−1), due to less complex processing and lower energy demands. 1G2G biorefineries were less profitable than 1 G equivalents, due to the cost of pretreatment and new CHP plants. The most profitable scenario was 1 G iButOH, with an MSP 19.0 % lower than its market price. New technologies to produce p-xylene and TPA from biomass in fewer steps, such as Virent Inc.’s Bioforming® technology, could potentially improve the economic viability of PET in the future.

Techno-economic analysis of an islanded energy system based on geothermal/biogas/wind/PV utilizing battery technologies: A case study of Woulde, Adamawa's region, Cameroon

The present paper performs a techno-economic and an environmental analysis of an islanded energy system based on Geothermal/Biogas/Wind/PV hybrid energy system using two battery technologies for electricity generation in the city of Woulde in Cameroon. The innovation of the present paper is threefold: (i) a geothermal plant was modeled, and coupled to various power sources and battery technologies; (ii) an environmental analysis of the hybrid system was performed; and (iii) a solar dual-axis tracker (DAT) was incorporated in the system. The study findings suggested that the integration of a DAT reduced the battery requirements. The results demonstrated that integrating the DAT in the architecture minimized the levelized cost of energy, i.e. from US$ 0.271/kWh to US$ 0.260/kWh for lead-acid (LA) batteries, and from US$ 0.269/kWh to US$ 0.256/kWh for lithium-ion (LI) batteries. It was revealed that the net present cost varied from US$ 61.3 million to US$ 58.9 million for LA batteries, and from US$ 61.0 million to US$ 58.0 million for LI batteries. For both energy storage technologies, the use of a DAT improved the photovoltaic electricity production (about 32.0 % more power). The solutions also revealed that the monthly electricity production of the biogas generator increased with the use of a DAT (about 227.74 % and 7.16 % more power with LA and LI batteries respectively). Concerning the monthly electricity production of the geothermal generator, it decreased with the use of a DAT (about 15.30 % and 7.96 % less power with LA and LI batteries respectively). In addition, the integration of a DAT in the hybrid system increased the emissions of Carbon dioxide and Carbon monoxide. The computation of the excess of electricity revealed a variation from 6,439.0 kWh/year (for fixed system) to 1,676.0 kWh/year (for the system incorporating a DAT) when the LA storage technology was used. For LI technology, it was shown that the excess of electricity increased from 657.0 kWh/year (for fixed system) to 2,420.0 kWh/year (for the system incorporating a DAT). It was also found no unmet load in the different architectures implemented, which simply indicated that the energy produced by the scenarios covered the electricity needs. It was also demonstrated that the electricity production was largely dominated by the geothermal plant for all the scenarios, followed by the PV panels, biogas, and wind turbine generators. It was also found that the wind turbine electricity generation was mainly recorded during the months of January, February, March, and December.

Techno-economic modeling and optimal sizing of autonomous hybrid microgrid renewable energy system for rural electrification sustainability using HOMER and grasshopper optimization algorithm

This research paper focuses on techno-economic modeling and optimal sizing of autonomous hybrid microgrid systems. The optimal configuration of the suggested stand-alone system was performed by developing a size optimization model based on the metaheuristic novel Grasshopper Optimization algorithm (GOA) method to minimize the Total Net Present Cost (TNPC), unmet load, and Cost of Energy (COE) in the Nsukka Community which comprises 88 villages. The GOA and HOMER Pro Software are employed to compare results across four possible configurations of hybrid renewable power systems (HRES). The comparative analysis between GOA and HOMER shows that configuration-4 (biogas/Diesel), emerges as the optimal solution, with a 0 % unmet load at the COE of $0.01783 per kWh. The findings indicated that the GOA-based HRES, with a higher saturation of Biogas and photovoltaics (PV), proves to be more affordable in comparison to the HOMER-based solutions. The reduction in the COE and NPC of renewable energy for peak demands highlights the growing importance of biogas generators as an affordable local power supply to meet energy demands. This underscores the potential of the GOA in optimizing hybrid renewable energy systems for remote communities, producing an economically viable and sustainable energy solution.

Study on the Economic and Technical Optimization of Hybrid Rural Microgrids Integrating Wind, Solar, Biogas, and Energy Storage with AC/DC Conversion

Under the guidance of the 'dual carbon' goals and 'rural revitalization' strategy, the development of microgrids primarily based on wind, solar, and biogas energy is rapidly advancing in rural areas. A critical and challenging area of current research is how to optimally configure the capacity of these microgrids of varying sizes, taking into account the availability of resources in the system's environment and specific climatic conditions, to maximize economic benefits. Based on this, the article constructs a model of a hybrid AC/DC microgrid system powered by wind, solar, and biogas energy. It undertakes multi-objective optimization to achieve the highest utilization of renewable energy, the most economical cost, and the minimum carbon emissions while ensuring the reliability of the system's power supply. The study explores the economically and technically optimal configuration of this microgrid energy system under certain climatic conditions. The results indicate that the optimal configuration for a rural microgrid powered by wind, solar, and biogas energy should include a 2.6 kW biogas generator, 30.00 kW solar panels, 5.24 kW wind turbines, a 2.6 kW battery storage system, and a 10.00 kW bidirectional inverter. This configuration results in the lowest total net cost of the system, achieving optimal outcomes in terms of total net cost, cost per kilowatt-hour, and supply reliability.

Feasibility and sustainability analysis of a hybrid microgrid in Bangladesh

The demand for renewable sources-based micro-grid systems is increasing all over the world to address the United Nation’s (UN) sustainable development goal 7 (SDG7) “affordable and clean energy”. However, without proper viability analysis, these micro-grid systems might lead to economic losses to both customers and investors. Therefore, this paper aims to explore the feasibility and sustainability of a hybrid micro-grid system based on available renewable resources in remote hill tracts region of Bangladesh. Nine different scenarios are analyzed here, and a combination of solar, hydro, biogas, and diesel generator systems are found to be the best feasible solution in regard to the least cost of electricity and emission. The optimized result shows that with a renewable fraction of 0.995, the unit levelized cost of energy of the micro-grid system is $0.182 and it emits 54 and 117 times less CO<sub>2 </sub>compared to grid-based and diesel-based systems. Further, the fuel share of the system being 0.5% and greenhouse gas per energy being 0.06425 kg/KWh, validate the system as highly sustainable and eco-friendly. With the ability to fulfill load demands without interrupting supply, and reducing the emissions of greenhouse gases, the designed microgrid can provide sustainable energy solutions to any hill-tracts of Bangladesh.

Feasibility study of a flexible hybrid energy model with power-hydrogen production in wastewater treatment plant

Renewable energy systems have garnered increasing attention as a viable solution to global warming and climate change. A key challenge in advancing renewable energies lies in ensuring energy stability, a concern effectively addressed through hybridization. Wastewater treatment plants, with their high energy consumption and potential for renewable energy integration, offer an opportune platform for implementing these systems. This paper introduces a flexible model for a hybrid energy system encompassing solar, wind, and biogas energy, seamlessly connected to the grid. The system is designed with three primary objectives: meeting the energy demand of the treatment plant, supporting the grid by selling excess energy during power outages, and generating green hydrogen. The treatment plant's average daily consumption is 10.28 MWh. Optimization using HOMER Pro resulted in the selection of System A as the most efficient configuration, comprising 1924 kW solar panels, two 1.5 MW wind turbines, a 500 kW biogas generator, a 578 kW converter, and a 1270 kW electrolyzer, with an initial cost of USD 2.41 million. The Net Present Cost (NPC) and Cost of Energy (COE), without factoring in hydrogen sales revenue, were determined to be USD 4.88 million and USD 0.057 per kWh, respectively. During the power blackout periods in July, August, and September, which are the main outage months, the system significantly improved grid stability by selling a total of 1515 MWh of energy, thereby providing crucial support to the grid. On average, the system produces 82.45 tons/year of green hydrogen, with hydrogen sales reducing the NPC to USD 657,000.The carbon reduction achieved by this system amounts to 1792 tons/year. In conclusion, the proposed hybrid energy system demonstrates the potential of multi-task energy models, shaping a future where diverse facilities meet their energy needs, enhancing sustainability in both individual systems and the broader grid. This study offers valuable insights for policymakers, researchers, and activists striving to advance global clean energy and sustainable development goals.

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

AbstractElectricity supply reliability in an electricity distribution network is majorly affected due to unexpected power failures and power cuts. A hybrid renewable energy system (HRES) with the optimal size of renewable energy sources can substantially improve power reliability. Therefore, this article develops an objective function incorporating socio‐techno‐economic‐environmental (STEE) factors for HRES optimal sizing to supply reliable power to a rural village. The factors considered in the objective function are namely social (employment generation factor, human progress index, and land cost), technical (excess energy factor, renewable energy portion, and loss of power supply probability), economical (total net present cost, cost of energy, and annualized cost of system), and environmental (emission cost). In this article, for the first time, marine predators algorithm (MPA) based metaheuristic optimizer is devised to address the sizing optimization problem of HRES. Three HRES configurations, having different arrangements of diesel generator (DG), biogas generator (BG), battery (BAT), wind turbine (WT), and photovoltaic (PV), are examined utilizing MPA, particle swarm optimization (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) for optimal configuration. Due to the lowest value of economical and environmental factors and the highest value of the social factor, the PV‐WT‐BAT‐BG‐DG configuration is optimal compared to other investigated configurations with MPA. Comparing the four optimizers, MPA has the best STEE factor values, as well as stronger convergence, greater ability to escape from local minima, and higher ability to approach the global optimum. Additionally, by contrasting it with the PSO result for the three HRES configurations, the MPA result quality is confirmed. Furthermore, the cost of energy (0.1799 $/kWh) of the optimal configuration is less than the latest addressed in the literature.

Performance improvement of intercooler in biogas generators by using computational fluid dynamics

Carbon neutrality is becoming the latest global environmental paradigm, and biogas power generation aligns with this trend by converting methane gas into electrical energy. However, impurities in biogas can corrode the intercooler, thereby reducing power generation efficiency. Consequently, it is imperative to modify both the material and design of the generator intercooler to enhance corrosion resistance and cooling efficiency. This study employs Computational Fluid Dynamics (CFD) to analyze the thermal characteristics of intercooler materials and proposed design changes. As a result, an optimal design that maximizes cooling efficiency and thermal effectiveness, while ensuring corrosion resistance, has been developed.

Efektivitas Produksi Biogas Mini Dari Limbah Dapur (KW) Dan Kotoran Sapi (CM)

Biogas is renewable energy. It is a free gas produced from kitchen waste (KW) and cow dung (CM). This can be used as an effective tool for households and communities to manage waste intelligently and use renewable energy. This is free gas produced from KW and CM. The effectiveness of mini biogas from KW and CM includes efficiency in waste management, energy generation, environmental benefits, cost effectiveness and socio-economic impact. The technology provides long-term answers to challenges, leading to a greener and more sustainable future. The use of biogas has emerged as a promising alternative energy source in efforts to find sustainable and environmentally friendly solutions. It is a flexible fuel produced through Anaerobic Digestion (AD) of organic materials as a waste management tool. Mini biogas generators demonstrate a feasible and effective process in converting waste streams into useful energy by exploiting the potential of natural recycling systems. It is also a colorless, flammable gas mixture produced from organic waste products. The methane (CH4) content contributes 50-70 percent and carbon dioxide (CO2) in the biogas composition. The total volume of gas we obtained was 73 ml, the combined percentage was 73%, and the presence of CH4 gas in the mixture was effective with the flame. It can be used for cooking and power generation, and process waste is recycled as the Sustainable Development Goals (SDGs) advance.

A Systematic Load Frequency Regulation in Two Area Renewable Micro-grid Cluster Utilizing Bald Eagle Search Algorithm

This paper works on the systematic load frequency and tie-lie power transfer regulation within the prescribed limit. The proposed two area renewable energy based micro-grid cluster comprises of dish stirling solar generator, micro hydro turbine, biogas generator as energy generators in area 1. Also, wind turbine, tidal generator, biogas generator as energy generators in area 2. The Flywheel and battery act as mechanical and electrical energy storage devices in their respective areas. Moreover, to make the frequency oscillation die out quickly super magnetic storage devices are connected in the system. A comparison of performance of system with respect to objective function error is made to determine superior controller with minimum error and most stability. The controller parameters is adjusted with Bald eagle search optimizer, Black widow optimizer algorithm, Giza pyramid construction, Teaching learning based optimizer and Genetic algorithm. Lastly, best controller-algorithm i.e. (tilt integral tilt derivative with filter - Bald eagle search optimizer) combination with minimized objective function integral square error is examined under different scenarios.

Integrative analysis of diverse hybrid power systems for sustainable energy in underdeveloped regions: A case study in Indonesia

<abstract> <p>There is a goal for practical renewable electrification and renewable energy investments in underdeveloped regions. Indonesia's experience underscores the complexities and challenges in implementing such projects effectively. A study on the effects of various socio-economic factors on Carbon dioxide (CO<sub>2</sub>) emissions in Indonesia highlights the significant impact of forest area, urbanization, and industrialization on carbon emissions. A hybrid system consists of PV, a Biogas Generator, and a Wind Turbine that are successfully deployed. However, no economic analysis has been conducted to obtain the best configuration of the hybrid system. We propose to delve into the effective integration combination of hybrid power systems. In this study, we thoroughly analyzed hybrid power systems in underdeveloped areas using the HOMER software. We examined five different hybrid system configurations: Solely biogas, complete generator integration, a biogas and hydrogen combo, biogas coupled with a PV system, and biogas combined with a wind turbine. Our findings indicated varying levels of economic viability, operational performance, and environmental impact across the configurations, providing crucial insights for policymakers and stakeholders in underdeveloped regions like Indonesia. The results showed the Wind-Hydrogen and Hydrogen Only schemes as the most cost-effective, with a Total Net Present Cost (NPC) of, 969.27 and Levelized Cost of Energy (LCOE) at zhongwenzy.218. Moreover, while CO<sub>2</sub> emissions were similar across all schemes, around 27,744 kg/year, the All-Generator scheme had slightly higher emissions at 27,667 kg/year but led in electricity production with 29,101 kWh/year. These results underscore the importance of balancing cost, energy output, and environmental impact in hybrid power system schemes for underdeveloped regions.</p> </abstract>