Journal of Energy Storage, Год журнала: 2023, Номер 79, С. 110205 - 110205
Опубликована: Дек. 28, 2023
Язык: Английский
Journal of Energy Storage, Год журнала: 2023, Номер 79, С. 110205 - 110205
Опубликована: Дек. 28, 2023
Язык: Английский
Journal of Cleaner Production, Год журнала: 2024, Номер 443, С. 141033 - 141033
Опубликована: Фев. 7, 2024
The current study presents a comprehensive investigation of different energy system configurations for remote village community in India with entirely renewable electricity. Excess electricity generated by the systems has been stored using two types storage options: lithium-ion batteries and green hydrogen production through electrolysers. hybrid (HRES) have sized minimising levelised cost (LCOE). In order to identify best-performing HRES configuration, economic environmental performance indicators analysed multi-criteria decision-making method (MCDM), TOPSIS. Among evaluated configurations, system-1 photovoltaic panel (PV) size 310.24 kW, wind turbine (WT) 690 biogas generator (BG) 100 battery (BAT) 174 kWh, an electrolyser (ELEC) 150 tank (HT) 120 kg, converter (CONV) 106.24 kW found be since it provides highest relative closeness (RC) value (∼0.817) also lowest fuel consumption rate 2.31 kg/kWh. However, system-6 shows amount CO2 (143.97 kg/year) among all studied configurations. Furthermore, detailed technical, economic, analysis conducted on optimal configuration. minimum net present (NPC), LCOE, (COH) 1 estimated $1,960,584, $0.44/kWh, $22.3/kg, respectively.
Язык: Английский
Процитировано
29Electrical Engineering, Год журнала: 2024, Номер unknown
Опубликована: Июль 16, 2024
Язык: Английский
Процитировано
17Results in Engineering, Год журнала: 2024, Номер 21, С. 101888 - 101888
Опубликована: Фев. 10, 2024
This study addresses the critical issue of energy management in micro-grid (MG) systems incorporating renewable sources and hydrogen storage. The research introduces an innovative approach by conducting a comparative analysis two machine learning methods, namely k-Nearest Neighbors (k-NN) Random Forest (RF), to optimize decision-making. investigation reveals consistent superiority Forest, particularly precision F1-scores, across key components such as fuel cell relay, battery super-capacitor grid system relay. results demonstrate that RF method consistently achieves high macro average factors (90%, 86%, 84%, 82%) impressive F1-scores 87%, 88%, 85%), surpassing performance k-NN, which yields notably lower (30%, 15%, 14%, 28%) (41%, 23%, 26%, 34%). superior positions robust for decision-making, specifically realm storage sources. novelty this work lies establishing reliable tool capable handling intricacies thereby enhancing sustainable processes. Additionally, resilience imbalanced data adds its effectiveness diverse operational scenarios. sheds light on potential contribute significantly advancement solutions systems.
Язык: Английский
Процитировано
15Energy, Год журнала: 2024, Номер 304, С. 132140 - 132140
Опубликована: Июнь 21, 2024
Язык: Английский
Процитировано
10Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(22), С. 32264 - 32281
Опубликована: Апрель 22, 2024
Язык: Английский
Процитировано
9Energy Conversion and Management X, Год журнала: 2024, Номер 24, С. 100766 - 100766
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
9Sustainability, Год журнала: 2025, Номер 17(2), С. 725 - 725
Опубликована: Янв. 17, 2025
A standalone hybrid renewable energy system (HRES) that combines different types of sources and storages offers a sustainable solution by reducing reliance on fossil fuels minimizing greenhouse gas emissions. In this paper, involving wind turbines, photovoltaic (PV) modules, diesel generators (DG), battery banks is proposed. For purpose, it necessary to size run the proposed for feeding residential load satisfactorily. two typical winter summer weeks, weather historical data, including irradiance, temperature, speed, profiles, are used as input data. The overall optimization framework formulated bi-level mixed-integer nonlinear programming (BMINLP) problem. upper-level part represents sizing sub-problem solved based economic environmental multi-objectives. lower-level management strategy (EMS) sub-problem. EMS task utilizes model predictive control (MPC) approach achieve optimal technoeconomic operational performance. By definition BMINLP, defined within constraints MATLAB R2023a environment employed execute extract results entire global solver “ga” utilized implement upper while “intlinprg” solves lower evaluation metrics in study operating, maintenance, investment costs, storage unit degradation, number CO2
Язык: Английский
Процитировано
1Energies, Год журнала: 2025, Номер 18(6), С. 1320 - 1320
Опубликована: Март 7, 2025
The large-scale integration of wind, solar, and battery energy storage is a key feature the new power system based on renewable sources. optimization results wind turbine (WT)–photovoltaic (PV)–battery (BES) hybrid systems (HESs) can influence economic performance stability electric (EPS). However, most existing studies have overlooked effect electronic converter (PEC) efficiency capacity configuration optimization, leading to significant difference between theoretical optimal actual results. This paper introduces an accurate model applicable different types PECs, establishes enhanced mathematical along with constraint conditions for WT–PV–BES–grid–load systems, precise models. In two typical application scenarios, configurations WT–PV–BES are optimized cost as objective function. among ignoring PEC loss, using fixed models, models compared. show that in DC system, total approximately 96.63%, increases by CNY 49,420, about 8.56%, compared 100% efficiency. AC 97.64%, 4517, 2.02%, analysis clearly reveals lack PECs will greatly affect precision effectiveness optimization.
Язык: Английский
Процитировано
1Renewable Energy, Год журнала: 2024, Номер 232, С. 121046 - 121046
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
8Applied Energy, Год журнала: 2024, Номер 361, С. 122875 - 122875
Опубликована: Март 3, 2024
Язык: Английский
Процитировано
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