A comprehensive review of green hydrogen energy systems

Renewable Energy, Journal Year: 2024, Volume and Issue: 231, P. 120911 - 120911

Published: July 3, 2024

Language: Английский

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Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing

Renewable Energy, Journal Year: 2024, Volume and Issue: 225, P. 120328 - 120328

Published: March 12, 2024

Language: Английский

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Optimal site selection for wind-solar‑hydrogen storage power plants based on geographic information system and multi-criteria decision-making model: A case study from China

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 112, P. 115470 - 115470

Published: Jan. 23, 2025

Language: Английский

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Comprehensive sustainability assessment and multi-objective optimization of a novel renewable energy driven multi-energy supply system

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 236, P. 121461 - 121461

Published: Aug. 31, 2023

Language: Английский

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Thermodynamic analysis and operation strategy optimization of coupled molten salt energy storage system for coal-fired power plant

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 236, P. 121702 - 121702

Published: Sept. 27, 2023

Language: Английский

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Coordinated scheduling of wind-solar-hydrogen-battery storage system for techno-economic-environmental optimization of hydrogen production

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 314, P. 118695 - 118695

Published: June 22, 2024

Language: Английский

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Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method

Applied Energy, Journal Year: 2024, Volume and Issue: 362, P. 122955 - 122955

Published: March 15, 2024

Hybrid offshore renewable energy platforms have been proposed to optimise power production and reduce the levelised cost of by integrating or co-locating several technologies. One example is a hybrid wave-wind system that combines wind turbines with wave converters (WECs) on single floating foundation. The design such systems involves multiple parameters performance measures, making it complex, multi-modal, expensive optimisation problem. This paper proposes novel, robust effective multi-objective swarm method (DMOGWA) provide solution best compromises between maximising WEC output minimising effect turbine nacelle acceleration. uses chaotic adaptive search strategy dynamic archive non-dominated solutions based diversity speed up convergence rate enhance Pareto front quality. Furthermore, modified exploitation technique (Discretisation Strategy) handle large damping spring coefficient Power Take-off (PTO) space. To evaluate efficiency method, we compare DMOGWA four well-known intelligence methods (MOPSO, MALO, MODA, MOGWA) popular evolutionary algorithms (NSGA-II, MOEA/D, SPEA-II, PESA-II) potential deployment sites South Coast Australia. results demonstrate dominance compared other eight in terms quality proposed. adjusting model's (WEC PTO parameters) using leads considerably improved (average proximate boost 138.5%) notable decline acceleration (41%) throughout entire operational spectrum methods. improvement could lead millions dollars additional income per year over lifespan platforms.

Language: Английский

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Techno-economic analysis of a novel solar-based polygeneration system integrated with vanadium redox flow battery and thermal energy storage considering robust source-load response

Applied Energy, Journal Year: 2024, Volume and Issue: 376, P. 124288 - 124288

Published: Aug. 29, 2024

Language: Английский

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Long-term planning and coupling optimization of multi-regional natural gas and hydrogen supply systems: A case study of China

Computers & Chemical Engineering, Journal Year: 2024, Volume and Issue: 183, P. 108593 - 108593

Published: Jan. 22, 2024

Language: Английский

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Optimization of wind-solar hybrid system based on energy stability of multiple time scales and uncertainty of renewable resources

Energy, Journal Year: 2024, Volume and Issue: 313, P. 133790 - 133790

Published: Nov. 14, 2024

Language: Английский

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