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A Multi-Criteria Decision-Making Approach for Energy Storage Technology Selection Based on Demand

Author

Listed:
  • Xiaotong Qie

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Rui Zhang

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Yanyong Hu

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Xialing Sun

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

  • Xue Chen

    (School of Management, China University of Mining and Technology, Beijing 100083, China)

Abstract

Energy storage technologies can reduce grid fluctuations through peak shaving and valley filling and effectively solve the problems of renewable energy storage and consumption. The application of energy storage technologies is aimed at storing energy and supplying energy when needed according to the storage requirements. The existing research focuses on ranking technologies and selecting the best technologies, while ignoring storage requirements. Here, we propose a multi-criteria decision-making (MCDM) framework for selecting a suitable technology based on certain storage requirements. Specifically, we consider nine criteria in four aspects: technological, economic, environmental, and social. The interval number, crisp number, and linguist terms can be transformed into a probabilistic dual hesitant fuzzy set (PDHFS) through the transformation and fusion method we proposed, and a suitable technology can be selected through distance measurements. Subsequently, the proposed method is applied in a representative case study for energy storage technology selection in Shanxi Province, and a sensitivity analysis gives different scenarios for elaboration. The results show that the optimal selection of energy storage technology is different under different storage requirement scenarios. The decision-making model presented herein is considered to be versatile and adjustable, and thus, it can help decision makers to select a suitable energy storage technology based on the requirements of any given use case.

Suggested Citation

  • Xiaotong Qie & Rui Zhang & Yanyong Hu & Xialing Sun & Xue Chen, 2021. "A Multi-Criteria Decision-Making Approach for Energy Storage Technology Selection Based on Demand," Energies, MDPI, vol. 14(20), pages 1-29, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6592-:d:655185
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    References listed on IDEAS

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    Cited by:

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    2. Prabha Bhola & Alexandros-Georgios Chronis & Panos Kotsampopoulos & Nikos Hatziargyriou, 2023. "Business Model Selection for Community Energy Storage: A Multi Criteria Decision Making Approach," Energies, MDPI, vol. 16(18), pages 1-30, September.
    3. Nikita Dmitrievich Senchilo & Denis Anatolievich Ustinov, 2021. "Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption," Energies, MDPI, vol. 14(21), pages 1-25, October.
    4. Ander Zubiria & Álvaro Menéndez & Hans-Jürgen Grande & Pilar Meneses & Gregorio Fernández, 2022. "Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications," Energies, MDPI, vol. 15(20), pages 1-25, October.

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