Renewable Energy, Год журнала: 2024, Номер unknown, С. 121738 - 121738
Опубликована: Окт. 1, 2024
Язык: Английский
Renewable Energy, Год журнала: 2024, Номер 224, С. 120247 - 120247
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
21
Energy Conversion and Management X, Год журнала: 2024, Номер 23, С. 100640 - 100640
Опубликована: Май 29, 2024
The abundance of fossil fuels and their negative environmental effects, together with the substantial reduction in investment prices, have made solar-biomass hybrid plants an increasingly appealing choice for supplying world's energy needs. This study evaluates performance a PV/biomass renewable system (HRES) that incorporates three distinct biomass processes, including pyrolysis, direct combustion, gasification. is modeled employing multi-objective genetic algorithm (MOGA). most excellent layout tabbed based on factors such as largest proportion green least amount noxious emissions, well minimum cost (COE) net present (NPC). COE pyrolysis 17% 38% lower than scenarios 1 2, respectively. decrease NPC overall cost, which demonstrates 65% drops 15% 37.5% decreases total respectively, compared to 2. After comparing all essential aspects, it revealed HRES incorporating preferable cost-effective option making systems other HRESs executed up gasifier or combustion technologies. idea would improve use resources by foremost power production technology, simpler researchers identify paramount create decisive using main source.
Язык: Английский
Процитировано
19
Journal of Cleaner Production, Год журнала: 2024, Номер 446, С. 141281 - 141281
Опубликована: Фев. 24, 2024
Язык: Английский
Процитировано
17
Energy Reports, Год журнала: 2024, Номер 11, С. 4924 - 4939
Опубликована: Май 3, 2024
The novel concept of using hybrid renewable resources to provide clean energy helps address the unique shortcomings each source. This study describes an innovative about design optimal grid PV/biomass 100 % and fully reliable systems without considering storage devices. By leveraging community solar biomass resources, proposed system can power remote villages with a minimum cost energy. Multi-Objective Genetic Algorithm (MOGA) is employed perform procedure. PV-biomass deployment project's economic viability assessed financial metrics such as net present (NPC) (COE). In order install at chosen site, configuration (PV 87 kW, biomass1 29 biomass2 125 kW) was examined. NPC, COE, total cost, in this configuration, are $118,942, $0.02/kWh, $892,892, respectively. combined yearly consumption generators 704.81 tons wheat straw. annual CO2 emissions PV, biomass1, avoided by 729.5 tons. findings clearly demonstrate that suggested approach manage flow suitable configuration. PV examined will probably be specialized solution regions abundant resources; nevertheless, it offers starting point for creation larger-scale bioenergy value chains long-term objective generating electricity from straw materials.
Язык: Английский
Процитировано
13
Energy Conversion and Management X, Год журнала: 2024, Номер 23, С. 100638 - 100638
Опубликована: Май 28, 2024
Applications for alternative energy sources range from very small scale to large grid-coupled hybrid systems. In addition, systems are safer generate power and cheaper produce than single-source The main goal of this study is determine whether renewable system with horizontal axis wind turbine (HAWT) or vertical (VAWT) more efficient cost effective in terms energy, economics, environmental performance. use the Multi Objective Genetic Algorithm (MOGA) MATLAB software sizing sustainable (horizontal axis), solar photovoltaic, grid connection evaluated study. results revealed that NPC total case where HRES consists HAWT $0.02 /kWh, $85,905, $332,240, respectively, while when VAWT used, these values $0.06 $129,932 $502,511, respectively. fraction CO2 emission saving 80.5% 73.2% cases 1 2, will spread widely there be less air pollution as a result reliance on electricity. findings both situations show adopting HAWTS-based HRESs electrifying rural areas. This paves way researchers focus types turbines designing HRESs.
Язык: Английский
Процитировано
13
Renewable Energy, Год журнала: 2025, Номер 243, С. 122555 - 122555
Опубликована: Фев. 7, 2025
Язык: Английский
Процитировано
2
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 5, 2025
Abstract A hybrid microgrid powered by hydrogen is an energy infrastructure that depends on as its primary carrier within a localized network. This study proposed novel bi-level optimization approach to enhance power quality and cost efficiency of the system. In quest improve management systems (EMS) quality, named Particle swarm optimization-Modified water wave (PSO-MWWO) has been proposed. method integrates adaptive population size wavelength coefficient boost overall effectiveness. It attractive with specialists in (EMS), control systems, technologies can significantly augment coordination endeavours. PSO-MWWO incorporate environmental considerations, such minimizing emissions or exploiting use renewable resources (RESs) production consumption. paper thoroughly examines implementation, operation, unique features, particular emphasis based microgrid. The achieved results numerical analysis affirm superiority technique compared other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh (VMO), Cataclysmic genetic algorithm optimizing component sizing, production, reliability, effective, efficacy. substantiates practical utility real-time applications. efficacy this empirically demonstrated through implementation MATLAB software.
Язык: Английский
Процитировано
1
Renewable Energy, Год журнала: 2025, Номер unknown, С. 122293 - 122293
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Energy Conversion and Management, Год журнала: 2025, Номер 326, С. 119529 - 119529
Опубликована: Янв. 17, 2025
Язык: Английский
Процитировано
1
International Journal of Hydrogen Energy, Год журнала: 2024, Номер 97, С. 1249 - 1260
Опубликована: Дек. 5, 2024
Язык: Английский
Процитировано
6