Siting Renewable Energy Facilities Using a Matching Algorithm: A Case Study in Japan
نویسندگان
چکیده
Finding an optimal match between installation sites and renewable energy (RE) facilities while ensuring that private initiatives meet local socio-environmental needs is a significant albeit complicated task. Different may need diverse considerations, such as landscape conservation, information on the true preferences costs of RE unknown to planner, causing asymmetry inefficiency. This study explores how matching model can be utilised for empirically planning siting using illustrative case study. It employs so-called ‘college admission problem’ model. The algorithm enables specifications, reflecting people regarding facility siting. result would ensure most desirable choice people, adopting ‘student-optimal matching’ generates patterns locals among stable patterns.
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Recent efforts to site renewable energy projects have provoked as much, if not more, opposition than conventional energy projects. Because renewable energy resources are often located in sensitive and isolated environments, such as pristine mountain ranges or coastal waters, siting these facilities is especially difficult. Moreover, the viability of different renewable energy projects depends n...
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ژورنال
عنوان ژورنال: Land
سال: 2022
ISSN: ['2073-445X']
DOI: https://doi.org/10.3390/land12010126