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指導教員 町村尚准教授・地球循環共生工学領域 28H14050 堀啓子(Keiko Hori) Abstract: To introduce the renewable energy in regional communities, it is necessary to select a sustainable energy mix on the basis of evaluation from multiple viewpoints including complex environmental impacts. The purpose of this study is to develop a tool for multi-objective optimization and evaluation of renewable energy composition in municipalities considering multiple environmental criteria. This tool was developed by creating a database of energy demand and renewable energy supply potential of all municipalities in Japan and designing six objective functions as evaluators. NSGA-II, a kind of genetic algorithms was applied as a method to solve multi-objective optimization. A case study for a municipality showed that the developed tool successfully calculated pareto solutions having trade-off and one best solution could be selected from the pareto solutions.

Development and Application of a Multi-Objective Optimization Tool for Renewable Energy Mix in Municipalities