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Experimental evaluation of radiator control based on primary supply temperature for district heating substations

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  • Gustafsson, Jonas
  • Delsing, Jerker
  • van Deventer, Jan

Abstract

In this paper, we evaluate whether the primary supply temperature in district heating networks can be used to control radiator systems in buildings connected to district heating; with the purpose of increasing the ΔT. The primary supply temperature in district heating systems can mostly be described as a function of outdoor temperature; similarly, the radiator supply temperature in houses, offices and industries can also be described as a function of outdoor temperature. To calibrate the radiator control system to produce an ideally optimal radiator supply temperature that produces a maximized ΔT across the substation, the relationship between the primary supply temperature and outdoor temperature must be known. However, even if the relation is known there is always a deviation between the expected primary supply temperature and the actual temperature of the received distribution media. This deviation makes the radiator control system incapable of controlling the radiator supply temperature to a point that would generate a maximized ΔT.

Suggested Citation

  • Gustafsson, Jonas & Delsing, Jerker & van Deventer, Jan, 2011. "Experimental evaluation of radiator control based on primary supply temperature for district heating substations," Applied Energy, Elsevier, vol. 88(12), pages 4945-4951.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4945-4951
    DOI: 10.1016/j.apenergy.2011.06.050
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    References listed on IDEAS

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    1. Gustafsson, Jonas & Delsing, Jerker & van Deventer, Jan, 2010. "Improved district heating substation efficiency with a new control strategy," Applied Energy, Elsevier, vol. 87(6), pages 1996-2004, June.
    2. Reidhav, Charlotte & Werner, Sven, 2008. "Profitability of sparse district heating," Applied Energy, Elsevier, vol. 85(9), pages 867-877, September.
    3. Carolyn Gochenour, 2001. "District Energy Trends, Issues, and Opportunities : The Role of the World Bank," World Bank Publications - Books, The World Bank Group, number 13903, December.
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    Cited by:

    1. Paiho, Satu & Reda, Francesco, 2016. "Towards next generation district heating in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 915-924.
    2. Muniak, Damian Piotr, 2014. "A new methodology to determine the pre-setting of the control valve in a heating installation. A general model," Applied Energy, Elsevier, vol. 135(C), pages 35-42.
    3. Gadd, Henrik & Werner, Sven, 2013. "Heat load patterns in district heating substations," Applied Energy, Elsevier, vol. 108(C), pages 176-183.
    4. Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
    5. Yan, Aibin & Zhao, Jun & An, Qingsong & Zhao, Yulong & Li, Hailong & Huang, Yrjö Jun, 2013. "Hydraulic performance of a new district heating systems with distributed variable speed pumps," Applied Energy, Elsevier, vol. 112(C), pages 876-885.
    6. Guelpa, Elisa & Verda, Vittorio, 2018. "Model for optimal malfunction management in extended district heating networks," Applied Energy, Elsevier, vol. 230(C), pages 519-530.
    7. Theofanis Benakopoulos & Robbe Salenbien & Dirk Vanhoudt & Svend Svendsen, 2019. "Improved Control of Radiator Heating Systems with Thermostatic Radiator Valves without Pre-Setting Function," Energies, MDPI, vol. 12(17), pages 1-24, August.
    8. Gadd, Henrik & Werner, Sven, 2014. "Achieving low return temperatures from district heating substations," Applied Energy, Elsevier, vol. 136(C), pages 59-67.
    9. Zhongbo Li & Zheng Luo & Ning Zhang & Xiaojie Lin & Wei Huang & Encheng Feng & Wei Zhong, 2023. "Investigation of Predictive Regulation Strategy of Secondary Loop in District Heating Systems," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    10. Sun, Chunhua & Liu, Yiting & Cao, Shanshan & Chen, Jiali & Xia, Guoqiang & Wu, Xiangdong, 2022. "Identification of control regularity of heating stations based on cross-correlation function dynamic time delay method," Energy, Elsevier, vol. 246(C).
    11. Jangsten, Maria & Lindholm, Torbjörn & Dalenbäck, Jan-Olof, 2022. "District cooling substation design and control to achieve high return temperatures," Energy, Elsevier, vol. 251(C).

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