Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/20/7612 |
| _version_ | 1797473590543646720 |
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| author | Ander Zubiria Álvaro Menéndez Hans-Jürgen Grande Pilar Meneses Gregorio Fernández |
| author_facet | Ander Zubiria Álvaro Menéndez Hans-Jürgen Grande Pilar Meneses Gregorio Fernández |
| author_sort | Ander Zubiria |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T20:17:39Z |
| format | Article |
| id | doaj.art-9ee2ef9b83e94e4db382b288000d08ed |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T20:17:39Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9ee2ef9b83e94e4db382b288000d08ed2023-11-23T23:57:48ZengMDPI AGEnergies1996-10732022-10-011520761210.3390/en15207612Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid ApplicationsAnder Zubiria0Álvaro Menéndez1Hans-Jürgen Grande2Pilar Meneses3Gregorio Fernández4CIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, SpainFundación CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, SpainCIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, SpainCIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, SpainFundación CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, SpainGrid 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.https://www.mdpi.com/1996-1073/15/20/7612energy storage technology selectiongrid applicationsmulti-criteria decision makingtriangular fuzzy numbersTOPSIS |
| spellingShingle | Ander Zubiria Álvaro Menéndez Hans-Jürgen Grande Pilar Meneses Gregorio Fernández Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications Energies energy storage technology selection grid applications multi-criteria decision making triangular fuzzy numbers TOPSIS |
| title | Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications |
| title_full | Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications |
| title_fullStr | Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications |
| title_full_unstemmed | Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications |
| title_short | Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications |
| title_sort | multi criteria decision making problem for energy storage technology selection for different grid applications |
| topic | energy storage technology selection grid applications multi-criteria decision making triangular fuzzy numbers TOPSIS |
| url | https://www.mdpi.com/1996-1073/15/20/7612 |
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