Optimization and Sensitivity Analysis of Standalone PV-Wind-Biomass-Battery Hybrid Systems for Sustainable Agricultural Electrification in Remote Areas
Jado, A., Morosuk, T., Pan, J. (2025). Optimization and Sensitivity Analysis of Standalone PV-Wind-Biomass-Battery Hybrid Systems for Sustainable Agricultural Electrification in Remote Areas. EKB Journal Management System, 16(5), 107-116. doi: 10.21608/jssae.2025.379482.1283
A. Jado; Tatiana Morosuk; Jinming Pan. "Optimization and Sensitivity Analysis of Standalone PV-Wind-Biomass-Battery Hybrid Systems for Sustainable Agricultural Electrification in Remote Areas". EKB Journal Management System, 16, 5, 2025, 107-116. doi: 10.21608/jssae.2025.379482.1283
Jado, A., Morosuk, T., Pan, J. (2025). 'Optimization and Sensitivity Analysis of Standalone PV-Wind-Biomass-Battery Hybrid Systems for Sustainable Agricultural Electrification in Remote Areas', EKB Journal Management System, 16(5), pp. 107-116. doi: 10.21608/jssae.2025.379482.1283
Jado, A., Morosuk, T., Pan, J. Optimization and Sensitivity Analysis of Standalone PV-Wind-Biomass-Battery Hybrid Systems for Sustainable Agricultural Electrification in Remote Areas. EKB Journal Management System, 2025; 16(5): 107-116. doi: 10.21608/jssae.2025.379482.1283

Optimization and Sensitivity Analysis of Standalone PV-Wind-Biomass-Battery Hybrid Systems for Sustainable Agricultural Electrification in Remote Areas

Journal of Soil Sciences and Agricultural Engineering
Article 5, Volume 16, Issue 5, May 2025, Page 107-116  XML PDF (1.07 MB)
Document Type: Original Article
DOI: 10.21608/jssae.2025.379482.1283
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Authors
A. Jado email orcid 1; Tatiana Morosukorcid 2; Jinming Panorcid 3
1Mansoura University, Department of Agricultural Engineering, Mansoura 35516, Egypt.
2Institute for Energy Engineering, Technical University of Berlin, Berlin 10587, Germany.
3Zhejiang University, Department of Biosystems Engineering, Hangzhou 310058, China.
Abstract
This study examines the techno-economic feasibility of hybrid energy systems that utilize renewable sources to meet the electrical demands of a livestock and poultry farm in the New Valley Governorate of Egypt. In this study, HOMER Pro was used to explore different hybrid energy system setups that include solar panels, wind turbines, biomass generators, and battery storage. The simulations were based on accurate local weather data and real hourly electricity demand at the site. The photovoltaic/wind/biomass/battery system was the greatest economical option, with a net present cost (NPC) of 9.62 million USD and a levelized cost of energy (LCOE) of 0.716 USD/kWh. Solar energy provided the majority of the farm’s electricity (82%), while wind and biomass made smaller but important contributions. Sensitivity analyses showed that even modest improvements, like reducing capital costs or slightly increasing renewable resource availability, could make these systems even more affordable. The findings highlight how thoughtful combinations of renewable sources can offer reliable, sustainable, and practical energy solutions for agriculture in remote areas.
Keywords
Renewable Power System; HOMER Pro Simulation; Microgrid Design; Rural Electrification; Economic Optimization
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