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Study on the decision-making of district cooling and heating systems by means of value engineering

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  • Shu, Haiwen
  • Duanmu, Lin
  • Zhang, Chaohui
  • Zhu, Yingxin

Abstract

A district cooling and heating (DCH) system can provide both cooling and heating for blocks of buildings in cold climate areas, however, different thermal source schemes of a DCH project always differ in their first cost, operating cost, maintenance cost, regulation performance, control performance, energy-saving and environment protection performance, etc. In order to evaluate various DCH thermal source schemes quantitatively, the paper firstly establishes an evaluation model based on value engineering theory. It then elaborates on how this model is applied in the first seawater source heat pump DCH project in China—Dalian Xinghai Bay project. The calculation results show that even though the scheme of seawater source heat pump system is not economical under commercial electricity price mainly because of its relatively high initial cost, yet it has the highest value coefficient under civil electricity price. This also implies that privileges of policy for renewable energy utilization system are necessary to help promote the energy-saving and environment-friendly scheme of seawater source heat pump system.

Suggested Citation

  • Shu, Haiwen & Duanmu, Lin & Zhang, Chaohui & Zhu, Yingxin, 2010. "Study on the decision-making of district cooling and heating systems by means of value engineering," Renewable Energy, Elsevier, vol. 35(9), pages 1929-1939.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:9:p:1929-1939
    DOI: 10.1016/j.renene.2010.01.021
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    References listed on IDEAS

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    1. Chow, T. T. & Au, W. H. & Yau, Raymond & Cheng, Vincent & Chan, Apple & Fong, K. F., 2004. "Applying district-cooling technology in Hong Kong," Applied Energy, Elsevier, vol. 79(3), pages 275-289, November.
    2. Zhen, Li & Lin, D.M. & Shu, H.W. & Jiang, Shuang & Zhu, Y.X., 2007. "District cooling and heating with seawater as heat source and sink in Dalian, China," Renewable Energy, Elsevier, vol. 32(15), pages 2603-2616.
    3. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
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    Cited by:

    1. Gang, Wenjie & Augenbroe, Godfried & Wang, Shengwei & Fan, Cheng & Xiao, Fu, 2016. "An uncertainty-based design optimization method for district cooling systems," Energy, Elsevier, vol. 102(C), pages 516-527.
    2. Gong, Mei & Werner, Sven, 2015. "An assessment of district heating research in China," Renewable Energy, Elsevier, vol. 84(C), pages 97-105.
    3. Wang, Peng & Sipilä, Kari, 2016. "Energy-consumption and economic analysis of group and building substation systems — A case study of the reformation of the district heating system in China," Renewable Energy, Elsevier, vol. 87(P3), pages 1139-1147.
    4. Happle, Gabriel & Fonseca, Jimeno A. & Schlueter, Arno, 2020. "Impacts of diversity in commercial building occupancy profiles on district energy demand and supply," Applied Energy, Elsevier, vol. 277(C).
    5. Inayat, Abrar & Raza, Mohsin, 2019. "District cooling system via renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 360-373.
    6. Gang, Wenjie & Wang, Shengwei & Gao, Diance & Xiao, Fu, 2015. "Performance assessment of district cooling systems for a new development district at planning stage," Applied Energy, Elsevier, vol. 140(C), pages 33-43.
    7. Deng, Na & Cai, Rongchang & Gao, Yuan & Zhou, Zhihua & He, Guansong & Liu, Dongyi & Zhang, Awen, 2017. "A MINLP model of optimal scheduling for a district heating and cooling system: A case study of an energy station in Tianjin," Energy, Elsevier, vol. 141(C), pages 1750-1763.
    8. Zheng, Wandong & Yin, Hao & Li, Bojia & Zhang, Huan & Jurasz, Jakub & Zhong, Lei, 2022. "Heating performance and spatial analysis of seawater-source heat pump with staggered tube-bundle heat exchanger," Applied Energy, Elsevier, vol. 305(C).
    9. 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.
    10. Alice Mugnini & Gianluca Coccia & Fabio Polonara & Alessia Arteconi, 2019. "Potential of District Cooling Systems: A Case Study on Recovering Cold Energy from Liquefied Natural Gas Vaporization," Energies, MDPI, vol. 12(15), pages 1-13, August.
    11. Gang, Wenjie & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2016. "District cooling systems: Technology integration, system optimization, challenges and opportunities for applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 253-264.

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