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Impact of network modelling in the analysis of district heating systems

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  • Guelpa, Elisa

Abstract

Network modelling is crucial for the simulation of district heating system responses to changes in operating conditions. Various applications, aimed at finding optimal district heating design and operations, neglect or strongly simplify the network dynamics. In this paper, the effect of including network dynamics in district heating system modelling has been analyzed. Different physical contributions have been considered separately: thermal losses, thermal transients and delay time due to the various costumer distances. This allows estimating the significance of the various phenomena in the estimation of the thermal request, in particular during demand peaks. Results shows that the thermal power required by the thermal plant is significantly different if evaluated relying on a network model or not; in case of thermal peak this is under-estimated up to 20% if the network dynamic is not taken into account. In particular, the inclusion of the thermal transient in the model is found to be crucial for considerably improving the result accuracy in the peak estimation. Effects for inclusion of thermal losses calculation have been quantified; errors reaches 4% in case of not perfectly insulated pipelines. The effect of neglecting network dynamics have also been analyzed in the context of demand side management (DSM) district heating systems. In particular, the effects are tested on a model for the best rescheduling of on-off time of the building heating device to optimally shave the thermal peak. Results show that the benefits achieved by the demand response model that include the thermal dynamics contribution increase from 1 to 18%; this is because the contribution of the different times the water trains takes to reach the plants (from the buildings) and of the water in the pipelines cooled down during night are relevant. Furthermore, different options are discussed to take into account compactly the network dynamic.

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  • Guelpa, Elisa, 2020. "Impact of network modelling in the analysis of district heating systems," Energy, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:energy:v:213:y:2020:i:c:s0360544220315000
    DOI: 10.1016/j.energy.2020.118393
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    1. 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.
    2. Fang, Hao & Xia, Jianjun & Jiang, Yi, 2015. "Key issues and solutions in a district heating system using low-grade industrial waste heat," Energy, Elsevier, vol. 86(C), pages 589-602.
    3. Sun, Fangtian & Fu, Lin & Sun, Jian & Zhang, Shigang, 2014. "A new waste heat district heating system with combined heat and power (CHP) based on ejector heat exchangers and absorption heat pumps," Energy, Elsevier, vol. 69(C), pages 516-524.
    4. Lund, Henrik, 2005. "Large-scale integration of wind power into different energy systems," Energy, Elsevier, vol. 30(13), pages 2402-2412.
    5. Wahlroos, Mikko & Pärssinen, Matti & Manner, Jukka & Syri, Sanna, 2017. "Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks," Energy, Elsevier, vol. 140(P1), pages 1228-1238.
    6. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    7. Dalla Rosa, A. & Li, H. & Svendsen, S., 2011. "Method for optimal design of pipes for low-energy district heating, with focus on heat losses," Energy, Elsevier, vol. 36(5), pages 2407-2418.
    8. Arat, Halit & Arslan, Oguz, 2017. "Exergoeconomic analysis of district heating system boosted by the geothermal heat pump," Energy, Elsevier, vol. 119(C), pages 1159-1170.
    9. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    10. Deng, Na & He, Guansong & Gao, Yuan & Yang, Bin & Zhao, Jun & He, Shunming & Tian, Xue, 2017. "Comparative analysis of optimal operation strategies for district heating and cooling system based on design and actual load," Applied Energy, Elsevier, vol. 205(C), pages 577-588.
    11. Østergaard, Poul Alberg & Andersen, Anders N., 2018. "Economic feasibility of booster heat pumps in heat pump-based district heating systems," Energy, Elsevier, vol. 155(C), pages 921-929.
    12. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    13. del Hoyo Arce, Itzal & Herrero López, Saioa & López Perez, Susana & Rämä, Miika & Klobut, Krzysztof & Febres, Jesus A., 2018. "Models for fast modelling of district heating and cooling networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1863-1873.
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    8. Triebs, Merlin Sebastian & Tsatsaronis, George, 2022. "From heat demand to heat supply: How to obtain more accurate feed-in time series for district heating systems," Applied Energy, Elsevier, vol. 311(C).
    9. Chen, Dongwen & Li, Yong & Abbas, Zulkarnain & Li, Dehong & Wang, Ruzhu, 2022. "Network flow calculation based on the directional nodal potential method for meshed heating networks," Energy, Elsevier, vol. 243(C).
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