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A methodology to estimate space heating and domestic hot water energy demand profile in residential buildings from low-resolution heat meter data

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  • Leiria, Daniel
  • Johra, Hicham
  • Marszal-Pomianowska, Anna
  • Pomianowski, Michal Zbigniew

Abstract

This article presents a new methodology to disaggregate the energy demand for space heating (SH) and domestic hot water (DHW) production from single hourly smart heat meters installed in Denmark. The new approach is idealized to be easily applied to several building typologies without the necessity of in-depth knowledge regarding the dwellings and their occupants. This paper introduces, tests, and compares several algorithms to separate and estimate the SH and DHW demand. To validate the presented methodology, a dataset of 28 Danish apartments with detailed energy monitoring (separated SH and DHW usage) is used. The comparison shows that the best method to identify energy demand data points corresponding to DHW production events is the so-called “maximum peaks” approach. Furthermore, the best algorithm to estimate the SH and DHW separately is a combination of two methods: the Kalman filter and the Support Vector Regression (SVR). This new methodology outperforms the current Danish compliances typically used to estimate the annual DHW usage in residential buildings.

Suggested Citation

  • Leiria, Daniel & Johra, Hicham & Marszal-Pomianowska, Anna & Pomianowski, Michal Zbigniew, 2023. "A methodology to estimate space heating and domestic hot water energy demand profile in residential buildings from low-resolution heat meter data," Energy, Elsevier, vol. 263(PB).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222025919
    DOI: 10.1016/j.energy.2022.125705
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    References listed on IDEAS

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    1. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    2. Pomianowski, M.Z. & Johra, H. & Marszal-Pomianowska, A. & Zhang, C., 2020. "Sustainable and energy-efficient domestic hot water systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    3. Ivanko, Dmytro & Sørensen, Åse Lekang & Nord, Natasa, 2021. "Splitting measurements of the total heat demand in a hotel into domestic hot water and space heating heat use," Energy, Elsevier, vol. 219(C).
    4. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
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    Cited by:

    1. Mohsen Sharifi & Amin Kouti & Evi Lambie & Yixiao Ma & Maria Fernandez Boneta & Mohammad Haris Shamsi, 2023. "A Comprehensive Framework for Data-Driven Building End-Use Assessment Utilizing Monitored Operational Parameters," Energies, MDPI, vol. 16(20), pages 1-23, October.
    2. Li, Wei & Ling, Xiang, 2023. "Performance analysis of a sorption heat storage-photocatalytic combined passive solar envelope for space heating and air purification," Energy, Elsevier, vol. 280(C).

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