Hybrid Renewable Energy System Research Articles

Systematic review of hydrogen, biomass, biogas, and solar photovoltaics in hybrid renewable energy systems: Advancements, challenges, and future directions

Systematic review of hydrogen, biomass, biogas, and solar photovoltaics in hybrid renewable energy systems: Advancements, challenges, and future directions

Cost determination of water production in a nanofiltration desalination plant powered by a hybrid renewable energy system. Case study of Cobquecura, Chile

Cost determination of water production in a nanofiltration desalination plant powered by a hybrid renewable energy system. Case study of Cobquecura, Chile

Evaluating the feasibility and sustainability of hybrid renewable energy systems (HRES) for electric vessel charging applications: A case study in Donsol, Sorsogon, Philippines

Evaluating the feasibility and sustainability of hybrid renewable energy systems (HRES) for electric vessel charging applications: A case study in Donsol, Sorsogon, Philippines

Retraction notice to “Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique” [Energy Rep. 6 (2020) 3365–3376

Retraction notice to “Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique” [Energy Rep. 6 (2020) 3365–3376

Analysis of Hybrid Renewable Energy Systems for European islands: Market Dynamics, Opportunities and Challenges

Analysis of Hybrid Renewable Energy Systems for European islands: Market Dynamics, Opportunities and Challenges

Predictive analytics for sustainable energy: An in-depth assessment of novel Stacking Regressor model in the off-grid hybrid renewable energy systems

Predictive analytics for sustainable energy: An in-depth assessment of novel Stacking Regressor model in the off-grid hybrid renewable energy systems

Optimal planning and feasibility analysis of a grid-connected PV-biomass hybrid renewable energy system for rural electrification with electric vehicles: A case study of Hainan, China

Optimal planning and feasibility analysis of a grid-connected PV-biomass hybrid renewable energy system for rural electrification with electric vehicles: A case study of Hainan, China

Enhanced algorithm for hybrid renewable energy systems, optimized with battery storage: A case study in Dakhla region, Morocco

Enhanced algorithm for hybrid renewable energy systems, optimized with battery storage: A case study in Dakhla region, Morocco

Advancing sustainable energy solutions: AI hybrid renewable energy systems with hybrid optimization algorithms and multi-objective optimization in Portugal

Advancing sustainable energy solutions: AI hybrid renewable energy systems with hybrid optimization algorithms and multi-objective optimization in Portugal

Review of energy storage integration in off-grid and grid-connected hybrid renewable energy systems: Structures, optimizations, challenges and opportunities

Review of energy storage integration in off-grid and grid-connected hybrid renewable energy systems: Structures, optimizations, challenges and opportunities

A feasible and sustainable standalone hybrid renewable energy system experimentation for remote residential applications of Khasab

A feasible and sustainable standalone hybrid renewable energy system experimentation for remote residential applications of Khasab

MATLAB-TRNSYS simulation framework for MPC-based optimization of hybrid renewable energy systems

MATLAB-TRNSYS simulation framework for MPC-based optimization of hybrid renewable energy systems

Optimal Configuration and Sizing of Integrated Hybrid Renewable Energy Systems for Sustainable Power Supply in Healthcare Buildings

Optimal Configuration and Sizing of Integrated Hybrid Renewable Energy Systems for Sustainable Power Supply in Healthcare Buildings

Sustainable production and application of microalgae-based biodiesel using a renewable hybrid energy system: enhancing emission reduction and engine performance in cold start conditions for greener transportation

Transitioning to biofuels is crucial for achieving sustainable energy systems and fostering greener urban transportation. This study investigates the performance and emission characteristics of biodiesel derived from Dunaliella tertiolecta, a saline microalga with high lipid content, blended with conventional diesel (B20). A novel renewable hybrid energy system, incorporating a parabolic trough collector and solar still desalination, was employed for efficient biomass cultivation and biodiesel production. Engine tests were conducted under cold-start conditions (+5 °C) using a single-cylinder, four-stroke, air-cooled compression ignition engine, analyzing emissions of CO, hydrocarbons, NOx, O2, and CO2. The results revealed that B20 led to a notable decrease in CO, hydrocarbons, and NOx emissions compared to pure diesel, showcasing its potential as a cleaner fuel. Slight increases in CO2 emissions were observed at lower engine speeds (440 rpm), while notable reductions were achieved at higher speeds (730 rpm). Additionally, the hybrid energy system proved to be an effective, low-cost solution for biodiesel production, aligning with sustainability goals. This study highlights the promise of Dunaliella tertiolecta biodiesel in mitigating cold-start emission challenges and advancing renewable energy solutions, contributing to the development of sustainable cities and communities.

Hybrid renewable energy systems for sustainable energy: a techno-economic analysis from western India

Abstract This paper presents a detailed techno-economic analysis of grid-connected hybrid microgrid systems in Western India, specifically targeting remote regions including Charanka, Samana, Navagam-Kevadia, Vighakot, Methan, and Panadhro. Leveraging the capabilities of HOMER Pro software, the study evaluates various configurations integrating solar photovoltaic systems, wind energy systems, and energy storage systems. The assessment focuses on optimizing energy integration to achieve cost-effective and environmentally sustainable outcomes. Key performance indicators such as net present cost, cost of energy, and grid reliability are analyzed. The findings reveal that hybrid configurations combining solar photovoltaic systems and wind energy systems, supported by energy storage systems, substantially reduce cost of energy and enhance system reliability. Cost of energy values across the studied sites range from INR 4.24 to INR 6.74, demonstrating a viable equilibrium between cost, efficiency, and environmental benefits. This study highlights the scalability of hybrid microgrid systems for renewable energy integration, offering valuable insights for sustainable energy planning and implementation in similar contexts globally.

Integration of the Chimp Optimization Algorithm and Rule-Based Energy Management Strategy for Enhanced Microgrid Performance Considering Energy Trading Pattern

The increasing integration of renewable energy into modern power systems has prompted the need for efficient hybrid energy solutions to ensure reliability, sustainability, and economic viability. However, optimizing the design of hybrid renewable energy systems, particularly those incorporating both hydrogen and battery storage, remains challenging due to system complexity and fluctuating energy trading conditions. This study addresses these gaps by proposing a novel framework that combines the Chimp Optimization Algorithm (ChOA) with a rule-based energy management strategy (REMS) to optimize component sizing and operational efficiency in a grid-connected microgrid. The proposed system integrates photovoltaic (PV) panels, wind turbines (WT), electrolyzers (ELZ), hydrogen storage, fuel cells (FC), and battery storage (BAT), while accounting for seasonal variations and dynamic energy trading. Each contribution in the Research Contributions section directly addresses critical limitations in previous studies, including the lack of advanced metaheuristic optimization, underutilization of hydrogen-battery synergy, and the absence of practical control strategies for energy management. Simulation results show that the proposed ChOA-based model achieves the most cost-effective and efficient configuration, with a PV capacity of 1360 kW, WT capacity of 462 kW, 164 kWh of BAT storage, 138 H2 tanks, a 571 kW ELZ, and a 381 kW FC. This configuration yields the lowest cost of energy (COE) at $0.272/kWh and an annualized system cost (ASC) of $544,422. Comparatively, the Genetic Algorithm (GA), Salp Swarm Algorithm (SSA), and Grey Wolf Optimizer (GWO) produce slightly higher COE values of $0.274, $0.275, and $0.276 per kWh, respectively. These findings highlight the superior performance of ChOA in optimizing hybrid energy systems and offer a scalable, adaptable framework to support future renewable energy deployment and smart grid development.

Managing and Optimizing Hybrid Distributed Energy Systems: A Bibliometric Mapping of Current Knowledge and Strategies

Hybrid renewable energy systems (HRESs) play a key role in the decarbonization of many sectors of the economy and, thus, in achieving ambitious climate goals. Due to the complexity of the issues and the impact of many factors on the efficiency of these systems, it is necessary to ensure that they are properly designed, managed, and optimized. Many techniques and methods are used to achieve an optimal multi-source energy system. In recent years, there has been a growing interest in HRESs. Taking this into account, a comprehensive review of scientific literature was carried out, based on bibliometric analysis. Professional software was used for the research: Bibliometrix and VOSviewer. The bibliographic database was created using the international scientific platform Web of Science. The evolution of research trends and the dynamic development of research on the management and optimization of HRESs in the years 2010–2024 were presented. The results of the analysis confirmed the growing importance of integrated energy management systems and optimization strategies in the context of the global energy transformation. The analysis also indicated that, despite the growing interest in this topic, further development of advanced energy management strategies and optimization methods is necessary to effectively use renewable energy sources and enhance the stability of HRESs.

Optimal design of electricity hydrogen and heat (EHH) production based off grid hybrid renewable energy system case study rural area in Oman

Optimal design of electricity hydrogen and heat (EHH) production based off grid hybrid renewable energy system case study rural area in Oman

Techno-economic Evaluation of Grid-connected Hybrid Energy System Based on Run-of-River and Solar Energy Plants for Sustainable Electrification of a Rural Community

The connection between energy access and greenhouse gas emissions is an issue that continues to garner attention. Presently, hundreds of millions of people globally do not have access to sufficient electricity, and those who do, rely on expensive fossil resources characterized by greenhouse gases. A viable solution is to explore renewable energy (RE) sources to satisfy the electricity demand and curtail the effect of greenhouse gases. This study performed a techno-economic analysis of a grid-connected hybrid RE system that included micro-hydro and solar photovoltaic power plants for a Nigerian rural community. The optimal system, according to the analysis done with HOMER software tool, has an overall NPC, operating cost, and LCOE of $3,202,139.00, $37,515.81, and $0.06053/kWh, respectively. A 98.1 kW micro-hydro turbine, a 150 kW converter, 100 kW solar panels, and 704 battery strings constitute the system components. An annual emission of 4,483 kg of CO2, 0.356 kg of CO, 22.5 kg of SO2, 4.86 kg of NO, and 1.66 kg of particulate matter will be released into the atmosphere. The implementation of this hybrid power system will not only increase access to energy but also help lessen greenhouse gas emissions.

Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system

Introduction. This paper investigates various methods for controlling the Maximum Power Point Tracking (MPPT) algorithm within the framework of intelligent energy control for grid-connected Hybrid Renewable Energy Systems (HRESs). The purpose of the study is to improve the efficiency and reliability of the power supply in the face of unpredictable weather conditions and diverse energy sources. Intelligent control techniques are used to optimize the extraction of energy from available sources and effectively regulate energy distribution throughout the system. Novelty study is employing intelligent control strategies for both energy optimization and control. This research distinguishes itself from conventional approaches, particularly through the application of Self-Tuning Fuzzy Logic Control (ST-FLC) and fuzzy tracking. Unlike conventional methods that rely on logical switches, this intelligent strategy utilizes fuzzy rules adapted to different operating modes for more sophisticated energy control. The proposed control strategy minimizes static errors and ripples in the direct current bus and challenges in meeting load demands. Methods of this research includes a comprehensive analysis of several optimization techniques under varying weather scenarios. The proposed strategy generates three control signals that correspond to selected energy sources based on solar irradiation, wind velocity and battery charging status. Practical value. ST-FLC technique outperforms both conventional methods and standard Fuzzy Logic Controllers (FLCs). It consistently delivers superior performance during set point and load disturbance phases. The simulation, conducted using MATLAB/Simulink. The results indicate that fuzzy proposed solution enables the system to adapt effectively to various operational scenarios, displaying the practical applicability of the proposed strategies. This study presents a thorough evaluation of intelligent control methods for MPPT in HRESs, emphasizing their potential to optimize energy supply under varying conditions. References 27, tables 6, figures 18.