期刊
SUSTAINABILITY
卷 13, 期 21, 页码 -出版社
MDPI
DOI: 10.3390/su132111880
关键词
renewable energy; life cycle assessment; analytical hierarchy process; multi-perspective criteria
资金
- Universiti Teknologi PETRONAS via the Joint Research Project [JRP8]
- Universiti Teknologi Malaysia via Matching Grant [PY/2021/00347, PY/2021/00272]
- Universiti Malaysia Perlis [9023-00022]
- [PY/2021/00347 PY/2021/00272]
The study evaluated and selected solar energy as the best renewable energy source in Tatau, providing important insights for determining the best form of renewable energy for rural areas. This approach could be crucial for decision-making in the transition to renewable energy.
With a growing global population and energy demand, there is increasing concern about the world's reliance on fossil fuels, which have a negative impact on the climate, necessitating the immediate transition to a cleaner energy resource. This effort can be initiated in the rural areas of developing countries for a sustainable, efficient and affordable energy source. This study evaluated four types of renewable energy (solar, wind, biomass, and mini-hydro energy) using the integrated Life Cycle Assessment (LCA) and Analytical Hierarchy Process (AHP) approaches to select the best renewable energy source in Tatau, Sarawak. The criteria under consideration in this study included the environment, engineering and economics. The LCA was used to assess the environmental impact of renewable energies from gate-to-grave boundaries based on 50 MJ/day of electricity generation. The AHP results showed that solar energy received the highest score of 0.299 in terms of the evaluated criteria, followed by mini-hydro, biomass and wind energy, which received scores of 0.271, 0.230 and 0.200, respectively. These findings can be used to develop a systematic procedure for determining the best form of renewable energy for rural areas. This approach could be vital for the authorities that are responsible for breaking down multi-perspective criteria for future decision making in the transition into renewable energy.
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