气候变化领域集成服务门户(CCPortal): Comprehensive onshore wind energy assessment in Malawi based on the WRF downscaling with ERA5 reanalysis data, optimal site selection, and energy production

CCPortal

DOI	10.1016/j.ecmx.2024.100608
	Comprehensive onshore wind energy assessment in Malawi based on the WRF downscaling with ERA5 reanalysis data, optimal site selection, and energy production
	Chisale, Sylvester William; Lee, Han Soo
发表日期	2024
ISSN	2590-1745
起始页码	22
卷号	22
英文摘要	Malawi, despite its minimal CO 2 emissions, faces huge climate impacts and a low electrification rate. Recognizing these challenges, this study presents a comprehensive and nationwide assessment of Malawi ' s wind energy potential, leveraging the high -resolution capabilities of the Weather Research and Forecasting (WRF) model. Unlike most site -specific studies, this study covers the entire country, factoring in different turbine hub heights. Through sensitivity analysis, the optimal configuration for the WRF model in Malawi was determined and ERA5 reanalysis data was used for initial and boundary conditions. The study ' s findings were validated using MERRA-2 reanalysis and actual observational datasets. A combination of GIS and the fuzzy analytic hierarchy process (AHP) was employed, integrating key factors like land use and topographical complexity to determine optimal wind farm sites. Notably, the wind suitability map uncovered significant potential for wind farm development. Furthermore, in the evaluation of a 50 MW wind farm, 80 m hub heights consistently outperformed 100 m elevations, both technically and economically. An 80 m wind farm at Site A can potentially power up to 32,931 urban and 84,475 rural households. Economically, 80 m hub heights showcased lower levelized cost of electricity (LCOE) values and faster payback periods than 100 m ones. Furthermore, these proposed wind projects can markedly reduce CO 2 emissions, positioning Malawi in tandem with global sustainability aspirations. Overall, this study provides a key foundation for Malawi ' s renewable energy strategies, highlighting the potential for improved electrification and better climate change mitigation outcomes.
英文关键词	Wind resources assessment; Fuzzy AHP; Optimal site; Levelized cost of electricity; GIS; CO2 equivalent
语种	英语
WOS研究方向	Thermodynamics ; Energy & Fuels ; Mechanics
WOS类目	Thermodynamics ; Energy & Fuels ; Mechanics
WOS记录号	WOS:001238450100001
来源期刊	ENERGY CONVERSION AND MANAGEMENT-X
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300668
作者单位	Hiroshima University; Hiroshima University
推荐引用方式 GB/T 7714	Chisale, Sylvester William,Lee, Han Soo. Comprehensive onshore wind energy assessment in Malawi based on the WRF downscaling with ERA5 reanalysis data, optimal site selection, and energy production[J],2024,22.
APA	Chisale, Sylvester William,&Lee, Han Soo.(2024).Comprehensive onshore wind energy assessment in Malawi based on the WRF downscaling with ERA5 reanalysis data, optimal site selection, and energy production.ENERGY CONVERSION AND MANAGEMENT-X,22.
MLA	Chisale, Sylvester William,et al."Comprehensive onshore wind energy assessment in Malawi based on the WRF downscaling with ERA5 reanalysis data, optimal site selection, and energy production".ENERGY CONVERSION AND MANAGEMENT-X 22(2024).