Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 137, P. 109162 - 109162
Published: Aug. 20, 2024
Language: Английский
Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 137, P. 109162 - 109162
Published: Aug. 20, 2024
Language: Английский
Renewable Energy, Journal Year: 2024, Volume and Issue: 231, P. 120911 - 120911
Published: July 3, 2024
Language: Английский
Citations
66Renewable Energy, Journal Year: 2024, Volume and Issue: 222, P. 119948 - 119948
Published: Jan. 3, 2024
In the pursuit of sustainable energy solutions, integration renewable sources and hydrogen technologies has emerged as a promising avenue. This paper introduces Integrated Renewable Energy-Driven Hydrogen System holistic approach to achieve independence self-sufficiency. Seamlessly integrating sources, production, storage, utilization, this system enables diverse applications across various sectors. By harnessing solar and/or wind energy, optimizes generation, distribution, storage. Employing systematic methodology, thoroughly examines advantages integrated over other alternatives, emphasizing its zero greenhouse gas emissions, versatility, resilience, potential for large-scale production. Thus, proposed sets our study apart, offering distinct efficient alternative compared conventional approaches. Recent advancements challenges in are also discussed, highlighting increasing public awareness technological progress. Findings reveal payback period ranging from 2.8 6.7 years, depending on configuration, economic attractiveness return investment. research significantly contributes ongoing discourse underscores viability transformative solution achieving independence. The employed model is innovative transferable contexts.
Language: Английский
Citations
62Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 236, P. 121871 - 121871
Published: Oct. 29, 2023
Over the past decade, energy systems for combined management of power vectors have been attracted attention scientific community. Most published works aim at finding optimal design and operations Multi Energy Systems (MES). In these works, basic structure assumptions formulation are often taken granted. Consequently, approaching MESs first time, understanding how to guarantee desired optimization detail with proper computational expenses, is a challenging time-consuming task. The present work presents novel approach analysis MES literature, since it devoted guide practical development optimization. Through discussion six case studies, mathematical presented provide clear reference build model. Emphasis placed on aspects investigated can change nature problem choice solvers process execution. For each aspects, literature review identify discuss main proposals its implementation presented. Finally, great posed inclusion thermal networks storage in multi-energy systems, discussing different approaches used literature.
Language: Английский
Citations
32Energy and Buildings, Journal Year: 2024, Volume and Issue: 310, P. 114077 - 114077
Published: March 12, 2024
Language: Английский
Citations
13Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 242, P. 122483 - 122483
Published: Jan. 17, 2024
Language: Английский
Citations
10Energy, Journal Year: 2024, Volume and Issue: 297, P. 131275 - 131275
Published: April 16, 2024
Language: Английский
Citations
8Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 212, P. 115385 - 115385
Published: Jan. 20, 2025
Language: Английский
Citations
1Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1744 - 1744
Published: Feb. 8, 2025
The growing need for sustainable energy solutions has propelled the development of Hybrid Renewable Energy Systems (HRESs), which integrate diverse renewable sources like solar, wind, biomass, geothermal, hydropower and tidal. This review paper focuses on balancing economic, environmental, social technical criteria to enhance system performance resilience. Using comprehensive methodologies, examines state-of-the-art algorithms such as Multi-Objective Particle Swarm Optimization (MOPSO) Non-Dominated Sorting Genetic Algorithm II (NSGA-II), alongside Crow Search (CSA), Grey Wolf Optimizer (GWO), Levy Flight-Salp (LF-SSA), Mixed-Integer Linear Programming (MILP) tools HOMER Pro 3.12–3.16 MATLAB 9.1–9.13, have been instrumental in optimizing HRESs. Key findings highlight role advanced, multi-energy storage technologies stabilizing HRESs addressing intermittency sources. Moreover, integration metaheuristic with machine learning enabled dynamic adaptability predictive optimization, paving way real-time management. HRES configurations cost-effectiveness, environmental sustainability, operational reliability while also emphasizing transformative potential emerging quantum computing are underscored. provides critical insights into evolving landscape offering actionable recommendations future research practical applications achieving global sustainability goals.
Language: Английский
Citations
1Smart Grids and Sustainable Energy, Journal Year: 2025, Volume and Issue: 10(1)
Published: Feb. 11, 2025
Language: Английский
Citations
1Applied Energy, Journal Year: 2024, Volume and Issue: 365, P. 123249 - 123249
Published: April 18, 2024
Language: Английский
Citations
5