Development and application of a multi-objective optimization tool for renewable energy mix in municipalities

Keiko Hori, Takanori Matsui, Satoshi Ono, Ken Ichi Fukui, Takashi Hasuike, Takashi Machimura

    Research output: Contribution to journalArticle

    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 improving Renewable Energy Regional Optimization Utility Tool for Environmental Sustainability, REROUTES. The adjustable variables are the amount of deployed renewable energy resources from solar, wind, small and medium-scale hydro, geothermal and biomass energy. NSGA-II, a kind of genetic algorithms was applied and implemented to REROUTES to solve multiobjective optimization with six objective functions (proportion of developed renewable energy, economic balance, decrease in CO2 emissions, circulation rate of biomass resource, impacted ecosystem area, and diversity index). A case study for two municipalities showed that the developed tool successfully calculated pareto solutions having trade-off with reflecting the natural conditions and varying demand structures of case study areas. In addition, a process of selecting one best solution from the pareto solutions on the basis of local opinions could be demonstrated. In conclusion, this study could develop an useful tool to support decision-making regarding the development of renewable energy resources.

    Original languageEnglish
    Article numberF-SGAI01_1-11
    JournalTransactions of the Japanese Society for Artificial Intelligence
    Volume33
    Issue number3
    DOIs
    Publication statusPublished - 2018 Jan 1

    Fingerprint

    Multiobjective optimization
    Renewable energy resources
    Biomass
    Solar wind
    Ecosystems
    Environmental impact
    Sustainable development
    Genetic algorithms
    Decision making
    Economics
    Chemical analysis

    Keywords

    • Genetic algorithm
    • Local energy system
    • Multi-objective optimization
    • Renewable energy

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence

    Cite this

    Development and application of a multi-objective optimization tool for renewable energy mix in municipalities. / Hori, Keiko; Matsui, Takanori; Ono, Satoshi; Fukui, Ken Ichi; Hasuike, Takashi; Machimura, Takashi.

    In: Transactions of the Japanese Society for Artificial Intelligence, Vol. 33, No. 3, F-SGAI01_1-11, 01.01.2018.

    Research output: Contribution to journalArticle

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