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A general model for the optimization of energy supply systems of buildings

Author

Listed:
  • Iturriaga, E.
  • Aldasoro, U.
  • Campos-Celador, A.
  • Sala, J.M.

Abstract

In this paper, a general model for the optimization of the energy supply systems of buildings is proposed. The model is based on a general superstructure that allows to include all the existing and future technologies, covering heating, domestic hot water, cooling and electricity. The model is linked to a Mixed Integer Linear Programming (MILP) problem that allows the selection of equipment and its operation, enabling the minimization of the annual cost for a set of constraints imposed by the designer, such as a Non-Renewable Primary Energy (NRPE) consumption limit.

Suggested Citation

  • Iturriaga, E. & Aldasoro, U. & Campos-Celador, A. & Sala, J.M., 2017. "A general model for the optimization of energy supply systems of buildings," Energy, Elsevier, vol. 138(C), pages 954-966.
    • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:954-966
    DOI: 10.1016/j.energy.2017.07.094
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    References listed on IDEAS

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    Cited by:

    1. Song, Jeonghun & Oh, Si-Doek & Song, Seung Jin, 2019. "Effect of increased building-integrated renewable energy on building energy portfolio and energy flows in an urban district of Korea," Energy, Elsevier, vol. 189(C).
    2. Song, Jeonghun & Song, Seung Jin, 2020. "A framework for analyzing city-wide impact of building-integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).
    3. Pérez-Iribarren, E. & González-Pino, I. & Azkorra-Larrinaga, Z. & Gómez-Arriarán, I., 2020. "Optimal design and operation of thermal energy storage systems in micro-cogeneration plants," Applied Energy, Elsevier, vol. 265(C).
    4. Máša, Vítězslav & Stehlík, Petr & Touš, Michal & Vondra, Marek, 2018. "Key pillars of successful energy saving projects in small and medium industrial enterprises," Energy, Elsevier, vol. 158(C), pages 293-304.
    5. Hou, Dan & Huang, Jiayu & Wang, Yanyu, 2023. "A comparison of approaches with different constraint handling techniques for energy-efficient building form optimization," Energy, Elsevier, vol. 277(C).
    6. Wang, Delu & Liu, Yifei & Wang, Yadong & Shi, Xunpeng & Song, Xuefeng, 2020. "Allocation of coal de-capacity quota among provinces in China: A bi-level multi-objective combinatorial optimization approach," Energy Economics, Elsevier, vol. 87(C).
    7. González-Pino, I. & Pérez-Iribarren, E. & Campos-Celador, A. & Terés-Zubiaga, J., 2020. "Analysis of the integration of micro-cogeneration units in space heating and domestic hot water plants," Energy, Elsevier, vol. 200(C).
    8. Olga Shepovalova & Andrey Izmailov & Yakov Lobachevsky & Alexey Dorokhov, 2023. "High-Efficiency Photovoltaic Equipment for Agriculture Power Supply," Agriculture, MDPI, vol. 13(6), pages 1-25, June.
    9. Iturriaga, E. & Aldasoro, U. & Terés-Zubiaga, J. & Campos-Celador, A., 2018. "Optimal renovation of buildings towards the nearly Zero Energy Building standard," Energy, Elsevier, vol. 160(C), pages 1101-1114.
    10. Pan, R. & Gutowski, T.G. & Sekulic, D.P., 2017. "Built environment energy trade-offs scaling," Energy, Elsevier, vol. 141(C), pages 1374-1383.

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    Keywords

    Optimization; MILP; nZEB; ZEB;
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