Back to Search
Start Over
Feasibility investigation and economic analysis of photovoltaic, wind and biomass hybrid systems for rural electrification in Afghanistan.
- Source :
-
Electrical Engineering . Jun2024, Vol. 106 Issue 3, p2821-2841. 21p. - Publication Year :
- 2024
-
Abstract
- This paper compares the design feasibility and economic advantage of photovoltaic (PV)-diesel generator (DG)-battery, PV-wind-battery, and PV-biogas (BG)-battery hybrid systems. The objective of this study is to investigate the performance of the three hybrid renewable energy systems (HRES) for sustainable electricity supply in remote areas of Afghanistan. Hybrid optimization model for multiple energy resources (HOMER) software was utilized to perform modeling, optimization, economic, sensitivity, and multi-year analysis of the hybrid systems. The findings indicates that the PV-biomass-battery hybrid system with $175,938 net present cost (NPC) and $0.29/kWh cost of energy (COE) is the most appropriate approach than the PV-DG-battery, PV-wind-battery and diesel-only system. However, the COE in optimal HRES is higher than the COE supplied by Afghanistan's national grid to the household resident in large cities, but COE in the hybrid system is about 37% lower than the cost of energy in the study area and some provinces of Afghanistan. The multi-year analysis was performed on the PV-biogas-battery hybrid system with considering a 0.8% yearly degradation of PV panels and a 2% load increase annually. The results show about an 11.2% increase in NPC and a 6.2% decrease in COE compare to the system without multi-year consideration. Moreover, the outputs from HOMER were evaluated using the Simplex algorithm. The results indicate that there were no significant variations in the results from HOMER and Simplex algorithms. Therefore, this illustrates that the simulations were consistent. The study's findings are anticipated to be helpful to stakeholders, decision-makers, and investors to achieve the goals and increase the electricity access rate in remote areas of Afghanistan. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09487921
- Volume :
- 106
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Electrical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 177463045
- Full Text :
- https://doi.org/10.1007/s00202-023-02115-8