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Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications

Author

Listed:
  • Ander Zubiria

    (CIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, Spain)

  • Álvaro Menéndez

    (Fundación CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Hans-Jürgen Grande

    (CIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, Spain
    POLYMAT, University of the Basque Country, UPV/EHU, Avda. Tolosa 72, 20018 Donostia-San Sebastián, Spain)

  • Pilar Meneses

    (CIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, Spain)

  • Gregorio Fernández

    (Fundación CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

Abstract

Grid stability and supply security need to be maintained when generation and consumption mismatches occur. A potential solution to this problem could be using Energy Storage Technologies (EST). Since many alternatives exist, appropriate technology selection becomes a key challenge. Current research focuses on ranking and selecting the most suitable technology, regardless of the grid services to be provided. In this study, a multi-criteria decision making (MCDM) problem is formulated considering fifteen selection criteria and the opinions of five energy storage experts groups. Literature and expert consultation data have been converted to triangular fuzzy (TF) numbers to cope with ambiguity and heterogeneity and eighteen technologies have been ranked applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The proposed method has been implemented on a software tool and assessed in four representative microgrid services of interest for the ENERISLA Project. The results show that pump hydro storage is the most suitable EST for frequency regulation, time shifting and seasonal storage applications, while flywheels best suit inertial response. It is concluded that the proposed methodology provides an intuitive framework for EST selection under multi-agent uncertainty and different grid application scenarios.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7612-:d:943096
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    References listed on IDEAS

    as
    1. Bartolini, Andrea & Carducci, Francesco & Muñoz, Carlos Boigues & Comodi, Gabriele, 2020. "Energy storage and multi energy systems in local energy communities with high renewable energy penetration," Renewable Energy, Elsevier, vol. 159(C), pages 595-609.
    2. Karim L. Anaya & Michael G. Pollitt, 2021. "How to Procure Flexibility Services within the Electricity Distribution System: Lessons from an International Review of Innovation Projects," Energies, MDPI, vol. 14(15), pages 1-26, July.
    3. Murrant, Daniel & Radcliffe, Jonathan, 2018. "Assessing energy storage technology options using a multi-criteria decision analysis-based framework," Applied Energy, Elsevier, vol. 231(C), pages 788-802.
    4. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2007. "Extended VIKOR method in comparison with outranking methods," European Journal of Operational Research, Elsevier, vol. 178(2), pages 514-529, April.
    5. Cavallaro, Fausto, 2010. "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems," Applied Energy, Elsevier, vol. 87(2), pages 496-503, February.
    6. Diana Enescu & Gianfranco Chicco & Radu Porumb & George Seritan, 2020. "Thermal Energy Storage for Grid Applications: Current Status and Emerging Trends," Energies, MDPI, vol. 13(2), pages 1-21, January.
    7. Holger C. Hesse & Michael Schimpe & Daniel Kucevic & Andreas Jossen, 2017. "Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids," Energies, MDPI, vol. 10(12), pages 1-42, December.
    8. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    9. Seyedmahdi Izadkhast & Rafael Cossent & Pablo Frías & Pablo García-González & Andrea Rodríguez-Calvo, 2022. "Performance Evaluation of a BESS Unit for Black Start and Seamless Islanding Operation," Energies, MDPI, vol. 15(5), pages 1-20, February.
    10. Jidai Wang & Kunpeng Lu & Lan Ma & Jihong Wang & Mark Dooner & Shihong Miao & Jian Li & Dan Wang, 2017. "Overview of Compressed Air Energy Storage and Technology Development," Energies, MDPI, vol. 10(7), pages 1-22, July.
    11. Headley, Alexander J. & Copp, David A., 2020. "Energy storage sizing for grid compatibility of intermittent renewable resources: A California case study," Energy, Elsevier, vol. 198(C).
    12. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.
    13. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    14. Padmini Sankaramurthy & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Zbigniew Leonowicz & Yusuff Adedayo, 2019. "Rescheduling of Generators with Pumped Hydro Storage Units to Relieve Congestion Incorporating Flower Pollination Optimization," Energies, MDPI, vol. 12(8), pages 1-19, April.
    15. Henok Ayele Behabtu & Maarten Messagie & Thierry Coosemans & Maitane Berecibar & Kinde Anlay Fante & Abraham Alem Kebede & Joeri Van Mierlo, 2020. "A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    16. 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.
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    1. Bartosz Radomski & Tomasz Mróz, 2023. "Application of the Hybrid MCDM Method for Energy Modernisation of an Existing Public Building—A Case Study," Energies, MDPI, vol. 16(8), pages 1-18, April.
    2. Xiaoyang Shu & Raman Kumar & Rajeev Kumar Saha & Nikhil Dev & Željko Stević & Shubham Sharma & Mohammad Rafighi, 2023. "Sustainability Assessment of Energy Storage Technologies Based on Commercialization Viability: MCDM Model," Sustainability, MDPI, vol. 15(6), pages 1-21, March.

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