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Optimizing the insulation thickness of walls of existing buildings with CHP-based district heating systems

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  • Jie, Pengfei
  • Yan, Fuchun
  • Li, Jing
  • Zhang, Yumei
  • Wen, Zhimei

Abstract

The heat demand of existing buildings can be reduced by improving the thermal properties of building envelope. Moreover, the heat medium temperature of district heating (DH) systems may also be influenced by adding insulation materials. An optimization model used to determine the optimum economic insulation thickness of walls (OEITW) of existing buildings with combined heat and power (CHP)-based DH systems was established based on energy grade and amount of energy. An existing residential building in Beijing, China, was used as the basis of the case study. The impact of insulation thickness (IT) on energy grade and amount of energy was studied. Sensitivity analysis method was used to investigate the impact of electricity price, interest rate, insulation material price and absorption heat pump price on the OEITW and minimum annual total cost (MATC). Results show that the OEITW and MATC can be obtained by using the optimization model. The heat demand and heat medium temperature can be lowered through adding insulation materials, resulting in the reduction of energy grade and amount of energy. Sensitivity analysis results show that the impact of sensitivity factors on the OEITW and MATC are different.

Suggested Citation

  • Jie, Pengfei & Yan, Fuchun & Li, Jing & Zhang, Yumei & Wen, Zhimei, 2019. "Optimizing the insulation thickness of walls of existing buildings with CHP-based district heating systems," Energy, Elsevier, vol. 189(C).
  • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319577
    DOI: 10.1016/j.energy.2019.116262
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    as
    1. Mikulić, Davor & Bakarić, Ivana Rašić & Slijepčević, Sunčana, 2016. "The economic impact of energy saving retrofits of residential and public buildings in Croatia," Energy Policy, Elsevier, vol. 96(C), pages 630-644.
    2. Küçüktopcu, Erdem & Cemek, Bilal, 2018. "A study on environmental impact of insulation thickness of poultry building walls," Energy, Elsevier, vol. 150(C), pages 583-590.
    3. Axaopoulos, Ioannis & Axaopoulos, Petros & Gelegenis, John, 2014. "Optimum insulation thickness for external walls on different orientations considering the speed and direction of the wind," Applied Energy, Elsevier, vol. 117(C), pages 167-175.
    4. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    5. Gvozdenac, Dušan & Urošević, Branka Gvozdenac & Menke, Christoph & Urošević, Dragan & Bangviwat, Athikom, 2017. "High efficiency cogeneration: CHP and non-CHP energy," Energy, Elsevier, vol. 135(C), pages 269-278.
    6. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    7. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    8. Sevindir, M. Kemal & Demir, Hakan & Ağra, Özden & Atayılmaz, Ş. Özgür & Teke, İsmail, 2017. "Modelling the optimum distribution of insulation material," Renewable Energy, Elsevier, vol. 113(C), pages 74-84.
    9. Walter, Travis & Sohn, Michael D., 2016. "A regression-based approach to estimating retrofit savings using the Building Performance Database," Applied Energy, Elsevier, vol. 179(C), pages 996-1005.
    10. Tunzi, Michele & Østergaard, Dorte Skaarup & Svendsen, Svend & Boukhanouf, Rabah & Cooper, Edward, 2016. "Method to investigate and plan the application of low temperature district heating to existing hydraulic radiator systems in existing buildings," Energy, Elsevier, vol. 113(C), pages 413-421.
    11. Soloha, Raimonda & Pakere, Ieva & Blumberga, Dagnija, 2017. "Solar energy use in district heating systems. A case study in Latvia," Energy, Elsevier, vol. 137(C), pages 586-594.
    12. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.
    13. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    14. Jie, Pengfei & Zhang, Fenghe & Fang, Zhou & Wang, Hongbo & Zhao, Yunfeng, 2018. "Optimizing the insulation thickness of walls and roofs of existing buildings based on primary energy consumption, global cost and pollutant emissions," Energy, Elsevier, vol. 159(C), pages 1132-1147.
    15. Jie, Pengfei & Kong, Xiangfei & Rong, Xian & Xie, Shangqun, 2016. "Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies," Applied Energy, Elsevier, vol. 177(C), pages 341-353.
    16. Gong, Mei & Werner, Sven, 2015. "Exergy analysis of network temperature levels in Swedish and Danish district heating systems," Renewable Energy, Elsevier, vol. 84(C), pages 106-113.
    17. Wang, Xiaoyin & Zhao, Xiling & Fu, Lin, 2018. "Entransy analysis of secondary network flow distribution in absorption heat exchanger," Energy, Elsevier, vol. 147(C), pages 428-439.
    18. Yan, Ding & Zhe, Tian & Yong, Wu & Neng, Zhu, 2011. "Achievements and suggestions of heat metering and energy efficiency retrofit for existing residential buildings in northern heating regions of China," Energy Policy, Elsevier, vol. 39(9), pages 4675-4682, September.
    19. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(11), pages 2520-2529, November.
    20. Friedman, Chanoch & Becker, Nir & Erell, Evyatar, 2014. "Energy retrofit of residential building envelopes in Israel: A cost-benefit analysis," Energy, Elsevier, vol. 77(C), pages 183-193.
    21. Bektas Ekici, Betul & Aytac Gulten, Ayca & Aksoy, U. Teoman, 2012. "A study on the optimum insulation thicknesses of various types of external walls with respect to different materials, fuels and climate zones in Turkey," Applied Energy, Elsevier, vol. 92(C), pages 211-217.
    22. Axaopoulos, Ioannis & Axaopoulos, Petros & Panayiotou, Gregoris & Kalogirou, Soteris & Gelegenis, John, 2015. "Optimal economic thickness of various insulation materials for different orientations of external walls considering the wind characteristics," Energy, Elsevier, vol. 90(P1), pages 939-952.
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