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Multi-mode operation of a Liquid Air Energy Storage (LAES) plant providing energy arbitrage and reserve services – Analysis of optimal scheduling and sizing through MILP modelling with integrated thermodynamic performance

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  • Vecchi, Andrea
  • Naughton, James
  • Li, Yongliang
  • Mancarella, Pierluigi
  • Sciacovelli, Adriano

Abstract

Energy storage competitiveness is ubiquitously associated with both its technical and economic performance. This work investigates such complex techno-economic interplay in the case of Liquid Air Energy Storage (LAES), with the aim to address the following key aspects: (i) LAES optimal scheduling and how this is affected by LAES thermodynamic performance (ii) the effect of LAES sizing on its profitability and performance (iii) overall techno-economic assessment of LAES multi-mode operation when providing energy and reserve services. To address these aspects, a Mixed Integer Linear Programming-based optimisation tool has been developed to simulate LAES operation throughout a year while including detailed thermodynamic constraints, thus allowing an accurate performance estimation. The results demonstrate that considering LAES thermodynamic performance in the optimisation ensures a feasible dispatch profile thus avoiding loss of revenues, especially for the multi-mode cases. However, while operation with arbitrage and a portfolio of reserve services is financially promising, it also deteriorates LAES roundtrip efficiency; therefore, a techno-economic balance should be sought. In terms of design, the possibility of independently sizing LAES charge and discharge power is key for tailoring the plant to the specific operating mode. Furthermore, storage energy capacities greater than 2–3 h do not significantly increase LAES profitability under the market conditions considered.

Suggested Citation

  • Vecchi, Andrea & Naughton, James & Li, Yongliang & Mancarella, Pierluigi & Sciacovelli, Adriano, 2020. "Multi-mode operation of a Liquid Air Energy Storage (LAES) plant providing energy arbitrage and reserve services – Analysis of optimal scheduling and sizing through MILP modelling with integrated ther," Energy, Elsevier, vol. 200(C).
    • Handle: RePEc:eee:energy:v:200:y:2020:i:c:s0360544220306071
    DOI: 10.1016/j.energy.2020.117500
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    1. Qi, Meng & Park, Jinwoo & Lee, Inkyu & Moon, Il, 2022. "Liquid air as an emerging energy vector towards carbon neutrality: A multi-scale systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    2. Chen, Jiaxiang & Yang, Luwei & An, Baolin & Hu, Jianying & Wang, Junjie, 2022. "Unsteady analysis of the cold energy storage heat exchanger in a liquid air energy storage system," Energy, Elsevier, vol. 242(C).
    3. Legrand, Mathieu & Labajo-Hurtado, Raúl & Rodríguez-Antón, Luis Miguel & Doce, Yolanda, 2022. "Price arbitrage optimization of a photovoltaic power plant with liquid air energy storage. Implementation to the Spanish case," Energy, Elsevier, vol. 239(PA).
    4. Kwon, Kyung-bin & Kim, Dam, 2020. "Enhanced method for considering energy storage systems as ancillary service resources in stochastic unit commitment," Energy, Elsevier, vol. 213(C).
    5. Dzido, Aleksandra & Krawczyk, Piotr & Wołowicz, Marcin & Badyda, Krzysztof, 2022. "Comparison of advanced air liquefaction systems in Liquid Air Energy Storage applications," Renewable Energy, Elsevier, vol. 184(C), pages 727-739.
    6. Lu, Chang & He, Qing & Cui, Shuangshuang & Shi, Xingping & Du, Dongmei & Liu, Wenyi, 2021. "Evaluation of operation safety of energy release process of liquefied air energy storage system," Energy, Elsevier, vol. 235(C).
    7. Kheshti, Mostafa & Zhao, Xiaowei & Liang, Ting & Nie, Binjian & Ding, Yulong & Greaves, Deborah, 2022. "Liquid air energy storage for ancillary services in an integrated hybrid renewable system," Renewable Energy, Elsevier, vol. 199(C), pages 298-307.
    8. Li, Guangkuo & Chen, Laijun & Xue, Xiaodai & Guo, Zhongjie & Wang, Guohua & Xie, Ningning & Mei, Shengwei, 2022. "Multi-mode optimal operation of advanced adiabatic compressed air energy storage: Explore its value with condenser operation," Energy, Elsevier, vol. 248(C).
    9. Vecchi, Andrea & Sciacovelli, Adriano, 2023. "Long-duration thermo-mechanical energy storage – Present and future techno-economic competitiveness," Applied Energy, Elsevier, vol. 334(C).

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