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TSO-STO: A two-step approach to the optimal operation of heat storage systems with variable temperature tanks

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  • Rech, Sergio
  • Toffolo, Andrea
  • Lazzaretto, Andrea

Abstract

Mixed-Integer Linear Programming (MILP) has been generally used in the recent past to evaluate the optimal operation of heat storage systems for district heating. In fact, model equations and constraints can be linearized to strongly reduce the computational time without a significant loss in accuracy, and other simplifying hypotheses can be introduced, such as the constant value of the heat storage temperature.

Suggested Citation

  • Rech, Sergio & Toffolo, Andrea & Lazzaretto, Andrea, 2012. "TSO-STO: A two-step approach to the optimal operation of heat storage systems with variable temperature tanks," Energy, Elsevier, vol. 45(1), pages 366-374.
    • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:366-374
    DOI: 10.1016/j.energy.2012.01.066
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    References listed on IDEAS

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    1. Dotzauer, Erik, 2002. "Simple model for prediction of loads in district-heating systems," Applied Energy, Elsevier, vol. 73(3-4), pages 277-284, November.
    2. Kiviluoma, Juha & Meibom, Peter, 2010. "Influence of wind power, plug-in electric vehicles, and heat storages on power system investments," Energy, Elsevier, vol. 35(3), pages 1244-1255.
    3. Christidis, Andreas & Koch, Christoph & Pottel, Lothar & Tsatsaronis, George, 2012. "The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets," Energy, Elsevier, vol. 41(1), pages 75-82.
    4. Rolfsman, Björn, 2004. "Combined heat-and-power plants and district heating in a deregulated electricity market," Applied Energy, Elsevier, vol. 78(1), pages 37-52, May.
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    Citations

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    Cited by:

    1. Rech, S. & Lazzaretto, A., 2018. "Smart rules and thermal, electric and hydro storages for the optimum operation of a renewable energy system," Energy, Elsevier, vol. 147(C), pages 742-756.
    2. Gonzalez-Salazar, Miguel & Klossek, Julia & Dubucq, Pascal & Punde, Thomas, 2023. "Portfolio optimization in district heating: Merit order or mixed integer linear programming?," Energy, Elsevier, vol. 265(C).
    3. Rech, Sergio & Finco, Elisa & Lazzaretto, Andrea, 2020. "A multicriteria approach to choose the best renewable refrigeration system for food preservation," Renewable Energy, Elsevier, vol. 154(C), pages 368-384.
    4. Liu, Ming & Wang, Shan & Zhao, Yongliang & Tang, Haiyu & Yan, Junjie, 2019. "Heat–power decoupling technologies for coal-fired CHP plants: Operation flexibility and thermodynamic performance," Energy, Elsevier, vol. 188(C).
    5. Cao, Lihua & Wang, Zhanzhou & Pan, Tongyang & Dong, Enfu & Hu, Pengfei & Liu, Miao & Ma, Tingshan, 2021. "Analysis on wind power accommodation ability and coal consumption of heat–power decoupling technologies for CHP units," Energy, Elsevier, vol. 231(C).
    6. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    7. Sergio Rech & Stefano Casarin & Carlos Santos Silva & Andrea Lazzaretto, 2020. "University Campus and Surrounding Residential Complexes as Energy-Hub: A MILP Optimization Approach for a Smart Exchange of Solar Energy," Energies, MDPI, vol. 13(11), pages 1-22, June.
    8. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    9. Sergio Rech, 2019. "Smart Energy Systems: Guidelines for Modelling and Optimizing a Fleet of Units of Different Configurations," Energies, MDPI, vol. 12(7), pages 1-36, April.

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