Computers & Chemical Engineering, Год журнала: 2025, Номер 194, С. 109000 - 109000
Опубликована: Янв. 5, 2025
Язык: Английский
Computers & Chemical Engineering, Год журнала: 2025, Номер 194, С. 109000 - 109000
Опубликована: Янв. 5, 2025
Язык: Английский
International Journal of Hydrogen Energy, Год журнала: 2023, Номер 48(97), С. 38354 - 38373
Опубликована: Июнь 29, 2023
Язык: Английский
Процитировано
93Journal of Electroanalytical Chemistry, Год журнала: 2024, Номер 963, С. 118299 - 118299
Опубликована: Апрель 26, 2024
Язык: Английский
Процитировано
35International Journal of Hydrogen Energy, Год журнала: 2024, Номер 75, С. 106 - 120
Опубликована: Янв. 21, 2024
Язык: Английский
Процитировано
25Heliyon, Год журнала: 2024, Номер 10(19), С. e37482 - e37482
Опубликована: Сен. 10, 2024
As global energy demand and warming increase, there is a need to transition sustainable renewable sources. Integrating different systems create hybrid system enhances the overall adoption deployment of resources. Given intermittent nature solar wind, storage are combined with these sources, optimize quantity clean used. Thus, various optimization strategies have been developed for integration operation systems. Existing studies either reviewed or systems, however, ignored integrated This study offers comprehensive analysis methods used in (HRES) (ESS). We examined models HRES ESS, their objectives, common constraints. Based on our review, capacity CO
Язык: Английский
Процитировано
20Energy, Год журнала: 2024, Номер 301, С. 131508 - 131508
Опубликована: Май 2, 2024
Язык: Английский
Процитировано
18Applied Sciences, Год журнала: 2025, Номер 15(4), С. 1744 - 1744
Опубликована: Фев. 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.
Язык: Английский
Процитировано
3Energy Conversion and Management, Год журнала: 2023, Номер 299, С. 117865 - 117865
Опубликована: Ноя. 11, 2023
Research into the off-grid hybrid energy system to provide reliable electricity a remote community has extensively been done. However, simultaneous meeting electric, freshwater, and gas demands from sources are very scarce in literature. Power- to-X (PtX) is gaining attention recent days transition scenarios generate green hydrogen, primary product of process as an carrier, which deemed replace conventional fuels reach absolute carbon neutrality. In this study, renewable–based developed simultaneously meet electricity, (cooking via methanation process) for Island Bangladesh. process, management strategy use excess both freshwater where hydrogen then converted natural process. The PV, wind turbine, diesel generator, battery, fuel cell have optimized using non-dominating sorting algorithm-II (NSGA-II) offer reliable, cost-effective solutions cooking end users. Results reported that PV/WT/DG/Batt configuration found most economic with lowest COE (0.1724 $/kWh) 9 % lower than PV/WT/Batt second COE. cost water (COW) (COG) also among all four configurations 1.185 $/m3 3.978 $/m3, respectively.
Язык: Английский
Процитировано
38Journal of Energy Storage, Год журнала: 2023, Номер 72, С. 108562 - 108562
Опубликована: Авг. 2, 2023
Язык: Английский
Процитировано
37Energy Conversion and Management, Год журнала: 2023, Номер 285, С. 117025 - 117025
Опубликована: Апрель 15, 2023
The development of sustainable and renewable energy technologies has received significant attention to realize Net-Zero CO2 equivalent emission goals meet the growing demand. Hydrogen is a promising carrier that can facilitate large-scale deployment sources assist in replacement fossil fuels reduce impact global warming. objective this research present an advanced hydrogen-integrated system model demand distributed community produce green hydrogen from excess/curtailed energy. study employs anion exchange membrane water electrolyzer (AEM) for producing hydrogen. An optimization mathematical are developed achieve objective. uses maximisation approach optimally combines wind system, biogas plant, solar PV residential commercial load demands. To increase stability, interconnected with local grid station exchange. Moreover, uncertainty analysis also performed analyse response under random variation results show amount clean (15,025 MWh/year) produced by at lowest levelized cost 0.084 €/kWh reduction 6,078 tons during first year operation obtained. produces 63 kg/hr hydrogen, while cell performance remains stable 60 °C voltage reaches 2.019 V 2.415 A/cm2 current density.
Язык: Английский
Процитировано
27International Journal of Hydrogen Energy, Год журнала: 2023, Номер 55, С. 970 - 983
Опубликована: Ноя. 30, 2023
Язык: Английский
Процитировано
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