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Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings

Author

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  • Gu, Wei
  • Wang, Jun
  • Lu, Shuai
  • Luo, Zhao
  • Wu, Chenyu

Abstract

The use of wind power is often restricted by the strong interdependence between the electricity generation and thermal energy generation of combined heat and power units (CHP), especially during winter, when CHP operates according to the heat-led mode. Considering the strong temporal and spatial correlations between wind power and thermal demand, the heating system can provide margins for wind power accommodation from the perspective of overall energy consumption. This paper proposes an optimal operation model for an integrated energy system (IES) combining the thermal inertia of a district heating network (DHN) and buildings to enhance the absorption of wind power. The temperature dynamics and transmission delay in DHN and the thermal storage capacity of buildings are studied to exploit the heating system as an option for managing the dispatch of wind power. The proposed model is a mixed integer non-linear programming model and can be solved by general commercial optimization software. To illustrate the effectiveness of the proposed model, a real heating system (having 24 nodes and 50 pipelines) in Jilin Province is used in the case study. The simulation results demonstrate the benefits of the proposed model in terms of operational economics and wind power utilization.

Suggested Citation

  • Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    • Handle: RePEc:eee:appene:v:199:y:2017:i:c:p:234-246
    DOI: 10.1016/j.apenergy.2017.05.004
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    References listed on IDEAS

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    1. Wang, Chengshan & Jiao, Bingqi & Guo, Li & Tian, Zhe & Niu, Jide & Li, Siwei, 2016. "Robust scheduling of building energy system under uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 366-376.
    2. Sichilalu, Sam & Mathaba, Tebello & Xia, Xiaohua, 2017. "Optimal control of a wind–PV-hybrid powered heat pump water heater," Applied Energy, Elsevier, vol. 185(P2), pages 1173-1184.
    3. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    4. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    5. Nielsen, Maria Grønnegaard & Morales, Juan Miguel & Zugno, Marco & Pedersen, Thomas Engberg & Madsen, Henrik, 2016. "Economic valuation of heat pumps and electric boilers in the Danish energy system," Applied Energy, Elsevier, vol. 167(C), pages 189-200.
    6. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Jiang, Tao & Yu, Xiaodan, 2017. "Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system," Applied Energy, Elsevier, vol. 194(C), pages 386-398.
    7. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    8. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
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