Optimal sizing and techno-enviro-economic feasibility assessment of solar tracker-based hybrid energy systems for rural electrification in Sudan
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DOI: 10.1016/j.renene.2023.02.022
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Cited by:
- Das, Sayan & Dutta, Risav & De, Souvanik & De, Sudipta, 2024. "Review of multi-criteria decision-making for sustainable decentralized hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
- Wang, Yongli & Guo, Lu & Wang, Yanan & Zhang, Yunfei & Zhang, Siwen & Liu, Zeqiang & Xing, Juntai & Liu, Ximei, 2024. "Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment," Energy, Elsevier, vol. 298(C).
- Wang, Jiangjiang & Zhao, Lei & Lu, Hao & Wei, Changqi, 2024. "Multi-objective stochastic-robust based selection-allocation-operation cooperative optimization of rural integrated energy systems considering supply-demand multiple uncertainties," Renewable Energy, Elsevier, vol. 233(C).
- Roy, Dibyendu & Zhu, Shunmin & Wang, Ruiqi & Mondal, Pradip & Ling-Chin, Janie & Roskilly, Anthony Paul, 2024. "Techno-economic and environmental analyses of hybrid renewable energy systems for a remote location employing machine learning models," Applied Energy, Elsevier, vol. 361(C).
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Keywords
Energy efficiency; Sensitivity analysis; Solar tracking system; Hybrid power system; Optimal sizing;All these keywords.
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