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A study on operation control of urban centralized heating system based on cyber-physical systems

Author

Listed:
  • Lin, Xiaojie
  • Liu, Sibin
  • Lu, Shuowei
  • Li, Zhongbo
  • Zhou, Yi
  • Yu, Zitao
  • Zhong, Wei

Abstract

Intelligent and efficient operation of large-scale urban centralized heating system (UCHS) is a hot topic in urban energy system field. This study develops an intelligent operation control platform for China’s UCHS via “cyber-physical systems” (CPS). The platform is based on graph theory and thermal-hydraulic modeling and has been validated against measured data collected from the substations. 88.5% of the modeled substation supply pressure has an error of less than 5%, and 82.1% of the modeled substation return pressure has an error of less than 5%. The platform carries out “model-based prediction” and “prediction-based decision-making” by incorporating state sensing, load forecasting, modeling, and model-based operation optimization. The platform is further applied to a target UCHS using coal-based combined heat and power (CHP) units and gas-fired boilers as heating sources and covering an area of 15 million m2. To ensure the accuracy, this study carries out online calibration with real-time operation data and tests the load distribution feature during the pilot heating season. During a two-day operation, the optimized heating sources load distribution scheme could reduce natural gas consumption by up to 31.2% when compared with existing experience-based operation. The operation cost during that operation period is also reduced by 2.6%, accordingly.

Suggested Citation

  • Lin, Xiaojie & Liu, Sibin & Lu, Shuowei & Li, Zhongbo & Zhou, Yi & Yu, Zitao & Zhong, Wei, 2020. "A study on operation control of urban centralized heating system based on cyber-physical systems," Energy, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322649
    DOI: 10.1016/j.energy.2019.116569
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    References listed on IDEAS

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    1. Zhong, Wei & Feng, Hongcui & Wang, Xuguang & Wu, Dingfei & Xue, Minghua & Wang, Jian, 2015. "Online hydraulic calculation and operation optimization of industrial steam heating networks considering heat dissipation in pipes," Energy, Elsevier, vol. 87(C), pages 566-577.
    2. 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.
    3. 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.
    4. Yan, Aibin & Zhao, Jun & An, Qingsong & Zhao, Yulong & Li, Hailong & Huang, Yrjö Jun, 2013. "Hydraulic performance of a new district heating systems with distributed variable speed pumps," Applied Energy, Elsevier, vol. 112(C), pages 876-885.
    5. 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.
    6. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    7. Østergaard, Poul Alberg & Lund, Henrik, 2011. "A renewable energy system in Frederikshavn using low-temperature geothermal energy for district heating," Applied Energy, Elsevier, vol. 88(2), pages 479-487, February.
    8. Åberg, M. & Widén, J. & Henning, D., 2012. "Sensitivity of district heating system operation to heat demand reductions and electricity price variations: A Swedish example," Energy, Elsevier, vol. 41(1), pages 525-540.
    9. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
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