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Feedback Control in Swedish Multi-Family Buildings for Lower Energy Demand and Assured Indoor Temperature—Measurements and Interviews

Author

Listed:
  • Daniel Olsson

    (CIT Renergy, 41258 Gothenburg, Sweden)

  • Peter Filipsson

    (CIT Renergy, 41258 Gothenburg, Sweden)

  • Anders Trüschel

    (Division of Building Services Engineering, Department of Architecture and Civil Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden)

Abstract

Europe needs to save energy, and lowered indoor temperature is frequently promoted as part of the solution. To facilitate this, heating control systems with feedback from indoor temperature sensors are often required to avoid thermal discomfort and achieve long-term temperature reductions. This article describes a measurement- and interview-based study on feedback control where 107 Swedish multifamily buildings were analysed. The obtained results show that buildings with lowered indoor temperatures had reduced annual heating demand by 4 kWh/m 2 and a reduced indoor temperature of 0.4 °C. There were, however, significant individual differences and even buildings with increased indoor temperatures, which harmed the energy savings. Temperature fluctuation was most often significantly reduced, but the impact on heating power demand during cold weather was, on average, only 2%. An interview with different actors indicated higher energy savings, possibly due to their stock’s original room temperature levels. Several interviewees also mentioned other advantages of temperature mapping. Most of the results obtained in this study were in line with several previous investigations. The study’s novelty lies in the large number of investigated buildings with mature commercial heat control technology, including PI-control for adjusting supply temperature, indoor temperature sensors in almost every apartment and a parallel analysis of additional affected parameters.

Suggested Citation

  • Daniel Olsson & Peter Filipsson & Anders Trüschel, 2023. "Feedback Control in Swedish Multi-Family Buildings for Lower Energy Demand and Assured Indoor Temperature—Measurements and Interviews," Energies, MDPI, vol. 16(18), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6747-:d:1244947
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    References listed on IDEAS

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    1. Yuan, Jianjuan & Huang, Ke & Han, Zhao & Zhou, Zhihua & Lu, Shilei, 2021. "A new feedback predictive model for improving the operation efficiency of heating station based on indoor temperature," Energy, Elsevier, vol. 222(C).
    2. Yohanis, Yigzaw Goshu & Mondol, Jayanta Deb, 2010. "Annual variations of temperature in a sample of UK dwellings," Applied Energy, Elsevier, vol. 87(2), pages 681-690, February.
    3. Sun, Chunhua & Chen, Jiali & Cao, Shanshan & Gao, Xiaoyu & Xia, Guoqiang & Qi, Chengying & Wu, Xiangdong, 2021. "A dynamic control strategy of district heating substations based on online prediction and indoor temperature feedback," Energy, Elsevier, vol. 235(C).
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