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Decentralized cooling in district heating network: System simulation and parametric study

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  • Udomsri, Seksan
  • Bales, Chris
  • Martin, Andrew R.
  • Martin, Viktoria

Abstract

This paper presents system simulation and parametric study of the demonstration system of decentralized cooling in district heating network. The monitoring results obtained from the demonstration were calibrated and used for parametric studies in order to find improved system design and control. This study concentrates on system simulation studies that aim to: reduce the electricity consumption, to improve the thermal COP’s and capacity if possible; and to study how the system would perform with different boundary conditions such as climate and load. The internal pumps inside the thermally driven chiller (TDC) have been removed in the new version TDC and implemented in this study to increase the electrical COP. Results show that replacement of the fourth with the fifth generation TDC increases the system electrical COP from 2.64 to 5.27. The results obtained from parametric studies show that the electrical and thermal COP’s, with new realistic boundary conditions, increased from 2.74 to 5.53 and 0.48 to 0.52, respectively for the 4th generation TDC and from 5.01 to 7.46 and 0.33 to 0.43, respectively for the 5th generation TDC. Additionally the delivered cold increased from 2320 to 8670 and 2080 to 7740kWh for the 4th and 5th generation TDC’s, respectively.

Suggested Citation

  • Udomsri, Seksan & Bales, Chris & Martin, Andrew R. & Martin, Viktoria, 2012. "Decentralized cooling in district heating network: System simulation and parametric study," Applied Energy, Elsevier, vol. 92(C), pages 175-184.
    • Handle: RePEc:eee:appene:v:92:y:2012:i:c:p:175-184
    DOI: 10.1016/j.apenergy.2011.10.009
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    1. Radu Dan Rugescu (ed.), 2010. "Solar Energy," Books, IntechOpen, number 621.
    2. Sivak, Michael, 2009. "Potential energy demand for cooling in the 50 largest metropolitan areas of the world: Implications for developing countries," Energy Policy, Elsevier, vol. 37(4), pages 1382-1384, April.
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    Cited by:

    1. Wissner, Matthias, 2014. "Regulation of district-heating systems," Utilities Policy, Elsevier, vol. 31(C), pages 63-73.
    2. Zhang, Wei & Hong, Wenpeng & Jin, Xu, 2022. "Research on performance and control strategy of multi-cold source district cooling system," Energy, Elsevier, vol. 239(PB).
    3. Yan, Chengchu & Gang, Wenjie & Niu, Xiaofeng & Peng, Xujian & Wang, Shengwei, 2017. "Quantitative evaluation of the impact of building load characteristics on energy performance of district cooling systems," Applied Energy, Elsevier, vol. 205(C), pages 635-643.
    4. Walker, Shalika & Labeodan, Timilehin & Boxem, Gert & Maassen, Wim & Zeiler, Wim, 2018. "An assessment methodology of sustainable energy transition scenarios for realizing energy neutral neighborhoods," Applied Energy, Elsevier, vol. 228(C), pages 2346-2360.
    5. Rismanchi, B., 2017. "District energy network (DEN), current global status and future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 571-579.
    6. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    7. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    8. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    9. Koo, Choongwan & Park, Sungki & Hong, Taehoon & Park, Hyo Seon, 2014. "An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method," Applied Energy, Elsevier, vol. 115(C), pages 205-215.
    10. Sun, Fangtian & Li, Junlong & Fu, Lin & Li, Yonghong & Wang, Ruixiang & Zhang, Shigang, 2020. "New configurations of district heating and cooling system based on absorption and compression chillers driven by waste heat of flue gas from coke ovens," Energy, Elsevier, vol. 193(C).
    11. Ahmed Al-Nini & Hamdan Haji Ya & Najib Al-Mahbashi & Hilmi Hussin, 2023. "A Review on Green Cooling: Exploring the Benefits of Sustainable Energy-Powered District Cooling with Thermal Energy Storage," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    12. Reda, Francesco & Viot, Maxime & Sipilä, Kari & Helm, Martin, 2016. "Energy assessment of solar cooling thermally driven system configurations for an office building in a Nordic country," Applied Energy, Elsevier, vol. 166(C), pages 27-43.
    13. Weinand, Jann Michael & Kleinebrahm, Max & McKenna, Russell & Mainzer, Kai & Fichtner, Wolf, 2019. "Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    14. 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.

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