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Validation of a community district energy system model using field measured data

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  • Talebi, Behrang
  • Haghighat, Fariborz
  • Tuohy, Paul
  • Mirzaei, Parham A.

Abstract

Load prediction is the first step in designing an efficient community district heating system (CDHS). Even though several methods have been developed to predict the heating demand profile of buildings, there is a lack of method that can predict this profile for a large-scale community with a numerous user types in a timely manner and with an appropriate level of precision.

Suggested Citation

  • Talebi, Behrang & Haghighat, Fariborz & Tuohy, Paul & Mirzaei, Parham A., 2018. "Validation of a community district energy system model using field measured data," Energy, Elsevier, vol. 144(C), pages 694-706.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:694-706
    DOI: 10.1016/j.energy.2017.12.054
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    References listed on IDEAS

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    Cited by:

    1. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    2. Gorman, Nicholas & MacGill, Iain & Bruce, Anna, 2024. "Re-dispatch simplification analysis: Confirmation holism and assessing the impact of simplifications on energy system model performance," Applied Energy, Elsevier, vol. 365(C).

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