Hybrid Renewable Energy System Research Articles

Towards Efficient Energy Solutions: MCDA-Driven Selection of Hybrid Renewable Energy Systems

In these days of growing awareness on Renewable Energy Sources and their benefits, there is a major issue that needs to be considered, which is selection of suitable Hybrid Renewable Energy System (HRES) among the vast multitude of choices. In this paper, multiple Multi Criteria Decision Analysis (MCDA) techniques are proposed to select the best among a choice of six HRES Systems using different criteria including but not limited to net present cost (NPC), operating cost, renewability fraction, CO2 & NOx emissions etc. The criteria weights are obtained using Analytical Hierarchy Process (AHP) based on the preference order of the criteria. The decision matrix is obtained from the statistical data of the different HRES and using different MCDA techniques such as Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), rankings are given to the HRES systems based on their closeness to the ideal solution. These rankings are helpful in the selection of suitable HRES configuration for normal household purposes. Since cost aspects are given greater preference, the obtained rankings lean more towards economically affordable solutions without compromising on the number of units generated.

Efficient integration of photo voltaic and hydro energy technologies for sustainable power generation in rural areas: A case study

This research aims to provide an efficient and cost-effective renewable energy supply. It assesses the potential for photovoltaic (PV) and hydro energy in Pirthala, Haryana, India, using HOMER Pro® v3.14.2. A Hybrid renewable energy system (HRES) can continuously power 855 homes. The optimal HRES configuration comprises well-optimized PV modules, hydro turbines, converters, and batteries. The top four configurations were selected based on criteria such as net present cost (NPC) and cost of energy production (COE). The most effective HRES configuration involves a 3461-kW solar array, a 98.1 kW hydro turbine, 304 lithium-ion batteries of 100 kWh, and a 2785-kW converter, achieving a 100 % integration of renewable energy. This ideal HRES was thoroughly assessed regarding economic, technical, and renewable energy considerations. The results and the optimized HRES configuration can serve as a valuable reference for similar initiatives in rural areas, contributing to adopting renewable energy sources and enhancing energy access and reliability.

Mitigation of Power Quality Issue in Hybrid Renewable Energy Source by UPQC with Optimization Techniques

This paper presents a comprehensive approach to mitigate power quality issues in hybrid renewable energy systems through the utilization of Unified Power Quality Conditioner (UPQC) integrated with optimization techniques. As renewable energy sources like wind and solar play an increasingly significant role in power generation, ensuring high-quality power supply becomes imperative. The UPQC, comprising series and shunt active power filters, is strategically deployed to address voltage fluctuations, harmonics, and other disturbances. To enhance its efficacy, advanced optimization techniques such as control algorithm optimization and parameter tuning are employed. These techniques enable the UPQC to adapt to varying operating conditions and optimize its performance in real-time. Integration with hybrid renewable energy sources is seamless, facilitating coordinated operation for optimal power quality enhancement. The proposed approach emphasizes real-time monitoring and control, enabling proactive response to power quality fluctuations and ensuring stable and reliable electricity supply. Through rigorous testing, validation, and maintenance protocols, the effectiveness and reliability of the integrated system are demonstrated. This holistic approach contribute to the stability and sustainability of modern power grids, fostering the widespread adoption of hybrid renewable energy systems.

Biomass-Based Microgrid: A Case Study on its Aspects in the State of Punjab in India

The microgrid is an emerging power system. It works on the interconnection of renewable energy resources (RES) such as solar, wind and biomass, which is a promising field for researchers to explore the scope of power production from unconventional energy resources. Various combinations of RES like solar, wind, biomass and small-hydro power plants are available at different geographical locations. As a result, the combined use of various RES is drawing more attention and is frequently employed as an alternative to energy based on fossil fuels. Economic facets of these systems are suitably promising to consider them for raising the growth of power generation capability in developing countries. Objective of this paper is to presents a detailed study of the biomass-based hybrid renewable energy systems (HRES) in terms of their cost of energy and carbon emission. Moreover, the deployment of biomass-based power generation technology in Indian and international energy scenarios has been discussed showing the availability along with the availability of RES in Punjab, India. From the literature review it reveals that a viable configuration of microgrid which can generate power by direct combustion and gasification of biomass should be proposed and optimized to ensure more reliability and less carbon footprints in power generation.

Exploring synergistic ecological and economic energy solutions for low-urbanized areas through simulation-based analysis

<abstract> <p>In this study, we assess the feasibility of a Hybrid Renewable Energy System (HRES) for the residential area of Hengam Island, Iran. The optimal system design, based on the analysis of minimum CO<sub>2</sub> emissions, unmet electric load and capacity shortage, reveals that a hybrid system consisting of 12,779,267 kW (55.8% of production) of solar PV panels and 10,141,978 kW (44.2% of production) of wind turbines is the most suitable for this case study. This configuration ensures zero CO<sub>2</sub> emissions and high reliability over a 25-year project lifetime, with an unmet electric load of 164 kWh per year and a capacity shortage of 5245 kWh per year. However, this case has a high initial cost of equipment, with a Total Net Present Cost (TNPC) of ＄54,493,590. If the power grid is also used for energy exchange with the island, TNPC can be significantly reduced by 76.95%, and battery losses can be reduced by 96.44%. The proposed system on the grid can reduce carbon emissions to zero, making it highly environmentally compatible. The sale of excess electricity produced to the power grid creates an energy market for the island. Given the weather conditions and the intensity of the sun in the studied area, the area has very suitable conditions for the exploitation of renewable energies. Transitioning the residential sector towards renewable energies is crucial to overcome energy crises and increasing carbon emissions. Increasing renewable equipment production and improving technology can address the challenge of high prices for renewable energy production.</p> </abstract>

Integrating fuzzy multi-criteria analysis for sustainable configuration of an on-grid hybrid renewable energy system: case study of Tunisia

Integrating fuzzy multi-criteria analysis for sustainable configuration of an on-grid hybrid renewable energy system: case study of Tunisia

Optimizing separate and combined grids for cost-effective hybrid renewable energy electrification in Mogadishu, Somalia

Expanding access to affordable, reliable, and sustainable electricity is an urgent priority in Somalia, which suffers from high energy costs and climate vulnerability despite negligible emissions. Therefore, this study employs MATLAB simulation software and three algorithms—particle swarm optimization (PSO), genetic algorithm, and simulated annealing—to determine optimal separate and combined grid designs for a hybrid renewable energy system in Mogadishu, Somalia. Four system configurations are assessed, namely, utilities—diesel-alone, Photovoltaic (PV)–diesel hybrid, wind–diesel hybrid, and PV–wind–diesel hybrid across the grids of three utilities—Benadir Electric Company, Mogadishu Power Supply, and Blue-Sky Energy. The algorithms evaluate technical feasibility, economic viability, and system reliability to identify the most suitable configurations. Forty-eight systems are analyzed. The combined PV/wind/diesel grid optimized with PSO is most effective, reducing the net present cost by 32%–47% and levelized cost of electricity by 41%–60% compared to diesel-only systems while maintaining reliability. Greenhouse gas emissions decrease by 38%–59% with the hybrid system.

IoT and Machine Learning based Green Energy Generation using Hybrid Renewable Energy Sources of Solar, Wind and Hydrogen Fuel Cells

As the world seeks sustainable energy solutions, Internet of Things (IoT) applications demand consistent and efficient power sources. This paper presents an innovative hybrid renewable energy system, seamlessly integrating solar photovoltaic panels, wind turbines, and hydrogen fuel cells, tailored for IoT applications. Through machine learning algorithms, our proposed system not only optimizes energy generation in real-time but also ensures uninterrupted energy supply to IoT devices and consumers, even in fluctuating environmental conditions. This universal approach markedly diminishes the dependence on non-renewable energy sources, promoting a greener and more resilient energy infrastructure. The incorporation of hydrogen fuel cells uniquely positions our system as a reservoir for excess energy, ensuring consistent power even when solar or wind outputs diminish. Moreover, by synchronizing IoT devices with our energy system, we have procured real-time data on energy dynamics, facilitating unparalleled optimization and reduced wastage. The presented system shows the way for a sustainable future through the efficient green energy generation with the ever-evolving landscape of IoT applications and machine learning techniques.

Design and Techno-Economic Analysis of a Hydrogen-Based Micro Hydro-Solar Hybrid Energy System for Sustainable Energy Access: A Case Study in Sri Aman, Sarawak

Several rural areas in Sarawak do not have access to electricity. In Sarawak, most investigations prioritize conventional sources despite the emergence of technology such as fuel cells. Furthermore, diversified investigations on stand-alone hybrid renewable energy systems in Sarawak are lacking. This study aims to fill this gap by investigating the feasibility of a stand-alone hybrid renewable energy system for rural applications in Sarawak, with a specific focus on the potential benefits of incorporating hydrogen. Different configurations, namely A: Photovoltaic, hydrogen, micro-hydro, B: hydrogen, micro-hydro, C: micro-hydro, D: photovoltaic, and micro-hydro was explored, each with its results, and comparisons were performed between them. By analyzing the system under various load patterns and conducting a sensitivity analysis, the researchers found that scenario A was the most cost-effective and reliable option for a longhouse in Sri Aman, with a net present cost of $148,687, cost of energy of $0.19/kWh, and initial capital of $107,207. Simultaneously, scenario A has the highest annual generating capacity of up to 116521kWh annually. Sensitivity analysis revealed that the electrolyzer could impact the cost of the system. The electrolyzer is the third and second most expensive in scenarios A and B. This research demonstrates the potential of alternative energy sources to improve access to electricity in rural areas. It highlights the importance of continued exploration into emerging technologies to ensure everyone can access safe and reliable electricity.

Integrating fuzzy multi-criteria analysis for sustainable configuration of an on-grid hybrid renewable energy system: case study of Tunisia

Integrating fuzzy multi-criteria analysis for sustainable configuration of an on-grid hybrid renewable energy system: case study of Tunisia

Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding

Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding

Technical and Economic Feasibility Study of a Hybrid Hydrogen-based Renewable Energy System

Traditional electrical grids rely heavily on Hydrocarbons. The latter turn out to be a significant cause of environmental damage, as well as being rapidly depleted. Remote regions and settlements cannot benefit from this kind of electric energy as they are disconnected from the electrical network. Hybrid renewable energy systems (HRES) proved as being a great option in such cases. The objective of this article is to construct and optimize an autonomous hybrid renewable power plant to meet the demand for electricity for an isolated drilling location in Adrar region in the south of Algeria. To address the issue of intermittent power from wind and solar sources, a hydrogen-based arrangement is included in the already existing hybrid renewable energy system. The system modeling and running are carried out using HOMER package to identify the best cost-effective HRES arrangements.

Potential Study of Using Hybrid Renewable Energy Systems for Power Supply of Tourism Camp in Mongolia

Due to the increase in the number of tourists coming from abroad, tourism camps have become interested in offering distinctive experiences, such as being close to nature and eco-friendly. Therefore, utilizing a hybrid renewable energy system for power supply becomes an attractive, nature-friendly, and reliable option for users located in remote areas disconnected from the central network. This article evaluates the electricity demand and associated costs for tourist camps using three different types of hybrid systems consisting of solar photovoltaic systems, wind turbines, diesel generators, battery storage, and converters. PV/wind systems will cost twice as much as PV/wind/battery systems. Additionally, they are not environmentally suitable due to the large number of batteries. PV/wind/battery systems, comprising a 3 kW capacity PV, a 5 kW capacity wind turbine, and batteries, could offer greater flexibility for tourist camps. This system is estimated to generate 19,303 kWh/year of electricity while not emitting greenhouse gases, despite being more expensive than a PV/wind/diesel hybrid system. The HOMER Pro software is used in this paper for optimization and techno-economic analysis.

Hydrogen Production using a Hybrid System Built with Renewable Energy Resources in Yenice

Benefits of hybrid renewable energy; has a continuous power supply, has a better return on investment, is independent of the grid, has fewer operating hours of the diesel generator, requires less maintenance than a diesel generator system, and does not need frequent refueling, one-time initial capital required, protects from ever-increasing grid electricity tariffs. On the other hand, the demand for renewable energy sources such as wind, solar, hydrogen, biomass, and geothermal, which are the least harmful to nature and natural life, has increased due to the depletion of fossil fuels used in energy production and the greenhouse gases they have released to the environment. Thus, with the inclusion of renewable energy sources in the system, a rich structure in terms of energy diversity has emerged. An area that simulates a system consisting of renewable energy sources using HOMER Pro software and has an annual average electrical energy need of 3997104 kWh/day was selected. Solar radiation and wind data belonging to the region were taken from NASA Surface and used. The energy system of the area where the feasibility study was conducted consists of a generator, wind turbine, solar panel, hydrogen tank, electrifier inverter, and battery system. The energy produced by the resulting system will be used by 11.26 kg/day hydrogen load and 3997104 kWh/day electrical load. The economic evaluation criteria of the hybrid renewable energy system are the energy unit cost of energy production, the net present value (NPC), and the payback period; The environmental evaluation criteria were determined as the renewable energy rate and emission values evaluation criteria. When the renewable energy rate is at the lowest level, the most economical system is the Gen/PV/WT/Bat/300Htank/ H loaded hybrid system when emissions are not considered, while the Gen/PV/WT/Bat hybrid system has the lowest emissions without considering the cost. When the renewable energy rate is high, the most economical system has been the PV/WT/Bat hybrid system when emissions are not considered.

Optimal power flow calculation in hybrid power system involving solar, wind, and hydropower plant using weighted mean of vectors algorithm

One of the most complex and motivating issues in power system is optimal power flow (OPF), which is a constrained optimization problem characterized by non-linearity and non-convexity. From these specifications, researchers competed in the past decades to find optimal solutions to OPF problem while keeping system stability. This paper presents an efficient optimization approach to deal with OPF problem in the hybrid renewable energy systems involving wind turbines, solar photovoltaic and small hydropower plant using optimization method depends on weighted mean of vectors INFO. Total generation cost, active power losses, and combined cost and emission are the principle goal, taking into account both reserve and penalty cost appropriate to over and under estimation respectively in the generation cost model. To evaluate the performance of INFO in solving OPF problem, modified IEEE 30-bus and IEEE 57-bus test systems will be utilized. The obtained results are compared with several algorithms such as Gorilla troop optimizer GTO, artificial ecosystem-based optimization AEO, Barnacles Mating Optimizer BMO for the same test systems keeping the same conditions. Simulation results have indicated the superiority of INFO while respecting all constraints. INFO can minimize total generation cost to 788.9417 $/h for IEEE 30-bus and 5259.2040 $/h for IEEE 57-bus. The results demonstrate clearly that the INFO is a highly efficient algorithm that is an encouraging tool for solving OPF problem. The promising findings highlight the potential of the INFO algorithm to smoothest the integration of RES, and its role in promoting sustainable energy solutions. Furthermore, the one-way analysis of variance (ANOVA) test, a statistical approach, was employed to evaluate the superiority of the proposed algorithm and to highlight a certain level of confidence to our study.

Optimization Model of Hybrid Renewable Energy Generation for Electric Bus Charging Stations

This paper introduces a comprehensive approach for sizing grid-connected hybrid renewable energy systems tailored for electric bus fleet operations. The study involves two main steps. First, a mathematical model that optimizes the configuration of such systems by considering daily electric bus consumption, solar irradiance, wind speed, and biomass potential is formulated. The model utilizes Pareto frontier multi-objective optimization to minimize the net present cost, the cost of energy, and greenhouse gas emissions. Second, the model is rigorously applied and tested in a real-world case study in Fez, Morocco, using HOMER Pro; the case study centers on the daily energy requirements of the buses, estimated at 2.5 megawatt hours per day, with a peak demand of 345 kilowatts. Two scenarios are explored, revealing a discernible trade-off dilemma between the full hybrid renewable energy scenario (Scenario 1) and the grid-connected hybrid renewable energy scenario (Scenario 2). In Scenario 2, the grid-connected hybrid renewable energy system demonstrates a notable 42.8% reduction in the net present cost, totaling USD 984,624. Similarly, the levelized cost of energy experiences a significant decrease, reaching approximately 0.08 USD/kWh, marking a 38.1% reduction. However, this apparent economic advantage is juxtaposed with a critical consideration—an increase in greenhouse gas emissions from null to 330,418 kg/year.

Contribution of green hydrogen vector to guarantee electricity feeding in remote areas- Case study

This paper examines the potential of solar-hydrogen hybrid renewable energy systems as a solution for off-grid applications in areas with heavy rainfall. This study highlights the immense potential of renewable mini grids as a solution to Africa's energy access challenges helping to achieve the sustainable development goal SDG 7. Associated to Photovoltaic primary source (PV), the combination of Lithium-Ion batteries and Alkaline hydrogen system emerges as an effective approach for ensuring uninterrupted electricity supply, especially in rainy seasons. This solution mitigates the need for Diesel Generator, offers protection against fluctuations in diesel fuel prices, and concurrently results in significant reductions in CO2 emissions while optimizing the utilization of PV energy. The uniqueness of this approach is the use of hydrogen as a backup solution. Hydrogen, generated through electrolysis, serves as a reliable energy reservoir during periods of low renewable energy production. This capability enhances the mini-grid's resilience, guaranteeing continuous electricity feeding to off grid critical facilities where power outages can have significant consequences. However, the exclusive use of hydrogen in conjunction with PV energy requires further cost reductions for broader competitiveness, especially concerning Solid Oxide Cell (SoC) electrolyzers. Furthermore, fuel cells, across all hydrogen technologies explored, require continuous development to improve their cost-efficiency and streamline their widespread adoption. Nevertheless, the improvement that can be made to reduce the Hydrogen system CAPEX and enhancing its efficiency would make green hydrogen as a competitive and reliable primary storage solution.

Optimal design of hydrogen-based storage with a hybrid renewable energy system considering economic and environmental uncertainties

Hydrogen and electricity derived from renewable sources present feasible alternative energy options for the decarbonisation of the transportation and power sectors. This study presents the utilisation of hydrogen generated from solar and wind energy resources as a clean fuel for mobility and backup storage for stationary applications under economic and environmental uncertainties. This is achieved by developing a detailed techno-economic model of an integrated system consisting of a hydrogen refuelling station and an electric power generation system using Mixed Integer Quadratic Constrained Programming (MIQCP), which is further relaxed to Mixed Integer Linear Programming (MILP). The model is implemented in the Advanced Interactive Multidimensional Modelling Software (AIMMS) and considering the inherent uncertainties in the wind resource, solar resource, costs and discount rate, the total cost of the three configurations (Hybrid PV-Wind, Standalone PV, and Standalone wind energy system) was minimised using robust optimisation technique, and the corresponding optimal sizes of the components, levelised cost of energy (LCOE), excess energy, greenhouse emission avoided, and carbon tax were evaluated. The levelised cost of the deterministic optimisation solution for all the configuration ranges between 0.0702 $/kWh to 0.0786 $/kWh, while the levelised cost of the robust optimisation solution ranges between 0.07188 $/kWh to 0.1125 $/kWh. The proposed integration has the advantages of affordable hydrogen and electricity prices, minimisation of carbon emissions and grid export of excess energy.

Hybrid renewable energy source optimization using black widow optimization techniques with uncertainty constraints

To encourage the growth and use of renewable energy such as PV Solar Energy, Wind Energy, India is speeding up the creation of a renewable portfolio standard. Scheduling practises for thermal power and other renewable energy producers in the electric power system will shift as a result of the adoption of the standard and accompanying marketable green credits. In this study, we develop a dynamic economic emission dispatch model for wind, solar, and hydro power under tradable green certificates, taking into account many objectives simultaneously. The drive to transition towards cleaner and more sustainable energy sources has underscored the significance of optimizing hybrid renewable energy systems. This study presents a novel approach that leverages the Black Widow Optimization (BWO) algorithm to address the challenges of optimizing such systems while accounting for uncertainty constraints. The core problem revolves around the effective integration and management of multiple renewable energy sources, including solar, wind, and hydro, within a framework that ensures robustness and adaptability. In the face of variable weather conditions and equipment reliability uncertainties, the BWO algorithm excels in balancing exploration and exploitation to yield optimal solutions. Through rigorous modelling and sensitivity analysis, this study provides quantitative insights into the system's performance, offering a clear understanding of the trade-offs between cost-effectiveness and reliability. Real-world case studies validate the practicality of the proposed approach, underlining its importance in achieving sustainable and resilient energy systems. This study's goal is to minimise the yearly cost of operating a hybrid wind-solar renewable energy system to meet a specified load. The objective was to minimise the yearly cost of the system by selecting the optimal level of system components to meet the required load in an efficient and cost-effective manner. Several computational strategies inspired by nature, such as Black Widow Optimization (BWO), were used to maximise fitness. The fitness function and the techniques used to create it where both coded in MATLAB.

Design and techno-economic evaluation of hybrid renewable energy system for an Upazilla Health Complex (UHC) in Bangladesh

Upazilla Health Complex (UHC) offers the primary level health care facilities for rural communities. Every day thousands of patients come here for health care. The Health complex needs 24 hours electric supply. The national Grid cannot provide continuous electricity supply. Rural areas face various disturbance such as load shedding, blackouts problems and bad weather situation. In this paper, we report on the techno-economic assessment of net metering based On-grid photovoltaic system for Kaunia Upazila Health Complex in Rangpur District, Bangladesh. The analysis is based on the grid-connected photovoltaic system without battery storage. The HOMER software is used to obtain the overall analysis and the load study is carried out by HOMER powering tools. It suggests that the selected health complex requires a 34 kW PV system. The system’s net present cost (NPC) and the levelized cost of energy (COE) are $35,524 and $0.048 respectively. In this proposed system, renewable energy provides 99% of the total power requirements, while the generator and grid provide only 1%. The system produces 53,736 kWh a year of electricity where the system’s surplus electricity is 3226 kWh per year which can be sold to the national grid using a net-metering system.