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Techno-economic optimization of an energy system with sorption thermal energy storage in different energy markets

Author

Listed:
  • Scapino, Luca
  • De Servi, Carlo
  • Zondag, Herbert A.
  • Diriken, Jan
  • Rindt, Camilo C.M.
  • Sciacovelli, Adriano

Abstract

Sorption thermal energy storage (STES) has the potential to have higher energy densities and lower thermal losses compared to conventional thermal storage technologies, and it can contribute to increase the energy grid flexibility and the penetration of intermittent and distributed energy sources. However, STES is a technology still under research, and system-scale investigations are necessary to determine its potential in future energy systems. In this regard, the objective of this work is to investigate the STES potential in a reference energy system interacting with different energy markets. The system consists of a geothermal doublet supplying thermal energy to an organic Rankine cycle (ORC) and to a district heating network that satisfies the thermal energy demand of a residential neighborhood. A techno-economic optimization of the energy system is carried out using mixed integer linear programming. The optimization aims at finding the optimal STES size and system operational behavior that maximizes the yearly profits from selling the ORC energy to the energy markets. Among the main results, it is found that the STES integration increased the overall system profits by 41% in the scenario where the ORC interacted with the UK day ahead market (2017 data), and with two UK balancing services: the capacity market, and the short term operating reserve. In conclusion, this work highlights how a thermal storage technology still under research could become an asset under specific market conditions. Future policy mechanisms can benefit from similar analyses and foster the integration of new technologies into the energy grid.

Suggested Citation

  • Scapino, Luca & De Servi, Carlo & Zondag, Herbert A. & Diriken, Jan & Rindt, Camilo C.M. & Sciacovelli, Adriano, 2020. "Techno-economic optimization of an energy system with sorption thermal energy storage in different energy markets," Applied Energy, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:appene:v:258:y:2020:i:c:s0306261919317507
    DOI: 10.1016/j.apenergy.2019.114063
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    1. Brändle, Gregor & Schönfisch, Max & Schulte, Simon, 2020. "Estimating Long-Term Global Supply Costs for Low-Carbon Hydrogen," EWI Working Papers 2020-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2021.
    2. Cabeza, Luisa F. & de Gracia, Alvaro & Zsembinszki, Gabriel & Borri, Emiliano, 2021. "Perspectives on thermal energy storage research," Energy, Elsevier, vol. 231(C).
    3. Jafari, Amirreza & Ganjeh Ganjehlou, Hamed & Khalili, Tohid & Bidram, Ali, 2020. "A fair electricity market strategy for energy management and reliability enhancement of islanded multi-microgrids," Applied Energy, Elsevier, vol. 270(C).
    4. Kant, K. & Pitchumani, R., 2022. "Advances and opportunities in thermochemical heat storage systems for buildings applications," Applied Energy, Elsevier, vol. 321(C).
    5. Isye Hayatina & Amar Auckaili & Mohammed Farid, 2023. "Review on Salt Hydrate Thermochemical Heat Transformer," Energies, MDPI, vol. 16(12), pages 1-23, June.
    6. Çam, Eren, 2020. "Optimal Dispatch of a Coal-Fired Power Plant with Integrated Thermal Energy Storage," EWI Working Papers 2020-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2021.
    7. Li, Wei & Klemeš, Jiří Jaromír & Wang, Qiuwang & Zeng, Min, 2022. "Salt hydrate–based gas-solid thermochemical energy storage: Current progress, challenges, and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    8. Zhou, Yuekuan & Zheng, Siqian & Hensen, Jan L.M., 2024. "Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

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