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Model predictive control for a heat booster substation in ultra low temperature district heating systems

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  • Hermansen, Rune
  • Smith, Kevin
  • Thorsen, Jan Eric
  • Wang, Jiawei
  • Zong, Yi

Abstract

District heating systems may support an increased penetration of stochastic renewable energy technologies and a reduction in centralized combined heat and power plants to reduce carbon dioxide emissions. Ultra low temperature district heating minimizes transport heat losses while enabling the utilization of low-grade surplus heat. Local heat booster substations can heat water to useable temperatures using a heat pump and a hot water tank for storage and flexible operation. This paper proposes a hybrid model predictive control strategy in which an existing heat booster substation is modelled and its charging schedule optimized in real-time over a 24-h forecasted prediction horizon. This enables load shifting whereby scheduling of the heat pump minimizes operation costs. The realisation of energy flexibility can support greater utilization of renewable energy sources and surplus heat in energy supply systems to reduce primary energy consumption. The linear hybrid model predictive controller was successfully implemented in a real 22-flat multifamily building in Copenhagen to verify the control strategy. A comparison of the proposed model predictive control scheduling to the standard rule-based control showed average savings of 23 % on the electricity costs.

Suggested Citation

  • Hermansen, Rune & Smith, Kevin & Thorsen, Jan Eric & Wang, Jiawei & Zong, Yi, 2022. "Model predictive control for a heat booster substation in ultra low temperature district heating systems," Energy, Elsevier, vol. 238(PA).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s036054422101879x
    DOI: 10.1016/j.energy.2021.121631
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    1. Münster, Marie & Morthorst, Poul Erik & Larsen, Helge V. & Bregnbæk, Lars & Werling, Jesper & Lindboe, Hans Henrik & Ravn, Hans, 2012. "The role of district heating in the future Danish energy system," Energy, Elsevier, vol. 48(1), pages 47-55.
    2. Ommen, Torben & Thorsen, Jan Eric & Markussen, Wiebke Brix & Elmegaard, Brian, 2017. "Performance of ultra low temperature district heating systems with utility plant and booster heat pumps," Energy, Elsevier, vol. 137(C), pages 544-555.
    3. Ommen, Torben & Markussen, Wiebke Brix & Elmegaard, Brian, 2016. "Lowering district heating temperatures – Impact to system performance in current and future Danish energy scenarios," Energy, Elsevier, vol. 94(C), pages 273-291.
    4. Cai, Hanmin & Thingvad, Andreas & You, Shi & Marinelli, Mattia, 2020. "Experimental evaluation of an integrated demand response program using electric heat boosters to provide multi-system services," Energy, Elsevier, vol. 193(C).
    5. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    6. Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2020. "Control assessment in coupled local district heating and electrical distribution grids: Model predictive control of electric booster heaters," Energy, Elsevier, vol. 210(C).
    7. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    8. Meesenburg, Wiebke & Ommen, Torben & Thorsen, Jan Eric & Elmegaard, Brian, 2020. "Economic feasibility of ultra-low temperature district heating systems in newly built areas supplied by renewable energy," Energy, Elsevier, vol. 191(C).
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    5. Tahiri, Abdelkarim & Smith, Kevin Michael & Thorsen, Jan Eric & Hviid, Christian Anker & Svendsen, Svend, 2023. "Staged control of domestic hot water storage tanks to support district heating efficiency," Energy, Elsevier, vol. 263(PB).
    6. Chen, Minghao & Xie, Zhiyuan & Sun, Yi & Zheng, Shunlin, 2023. "The predictive management in campus heating system based on deep reinforcement learning and probabilistic heat demands forecasting," Applied Energy, Elsevier, vol. 350(C).
    7. Quirosa, Gonzalo & Torres, Miguel & Becerra, José A. & Jiménez-Espadafor, Francisco J. & Chacartegui, Ricardo, 2023. "Energy analysis of an ultra-low temperature district heating and cooling system with coaxial borehole heat exchangers," Energy, Elsevier, vol. 278(PA).
    8. Jan Lorenz Svensen, 2022. "Peak Shaving in District Heating Utilizing Adaptive Predictive Control," Energies, MDPI, vol. 15(22), pages 1-15, November.
    9. Gianni Martinazzoli & Daniele Pasinelli & Adriano Maria Lezzi & Mariagrazia Pilotelli, 2023. "Design of a 5th Generation District Heating Substation Prototype for a Real Case Study," Sustainability, MDPI, vol. 15(4), pages 1-21, February.

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