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Industrial Park low-carbon energy system planning framework: Heat pump based energy conjugation between industry and buildings

Author

Listed:
  • Wu, Wencong
  • Du, Yuji
  • Qian, Huijin
  • Fan, Haibin
  • Jiang, Zhu
  • Huang, Shifang
  • Zhang, Xiaosong

Abstract

The accelerating urbanization, rapid industrial development, and excessive consumption of fossil fuels pose survival challenges such as energy depletion and environmental degradation for humanity. In the context of industrial park development, constructing a low-carbon energy system, increasing the proportion of renewable energy, enhancing energy-level matching, and utilizing heat pumps for deep waste heat recovery are effective approaches to reduce fossil energy consumption and alleviate environmental pressures. Addressing issues such as diverse thermal flows in industrial sites, complex electricity-heat-cooling energy demands, and unclear industrial-building energy coupling mechanisms, this paper proposes a two-stage planning framework, comprising the following five steps: (1) constructing a waste heat utilization system centered around heat pumps, (2) establishing a mechanism for matching heat sources, equipment, and thermal sinks, (3) establishing an energy conversion model and energy quality quantification system, (4) optimizing waste heat utilization path allocation, and (5) conducting a system energy flow analysis. Case studies demonstrate that the proposed system achieves optimized matching of multiple heat sources and sinks in industrial and building scenarios through thermal integration, meeting diverse energy demands in the park, including electricity, cooling, and multi-grade heat. After coupling with traditional steam pipeline networks, the annual total cost and annual steam power consumption decrease by 33% and 39% respectively, with a waste heat contribution rate of up to 26% and a renewable energy penetration rate of up to 25%, and a waste heat recovery system payback period of 6 years. By establishing an energy quality quantification system and conducting multi-objective optimization considering losses and economic costs, this paper provides Pareto frontier solutions, offering references for engineering proposals. The proposed networked waste heat recovery system is characterized by low energy consumption and high economic efficiency, effectively integrating the energy characteristics of industrial parks and demonstrating engineering applicability.

Suggested Citation

  • Wu, Wencong & Du, Yuji & Qian, Huijin & Fan, Haibin & Jiang, Zhu & Huang, Shifang & Zhang, Xiaosong, 2024. "Industrial Park low-carbon energy system planning framework: Heat pump based energy conjugation between industry and buildings," Applied Energy, Elsevier, vol. 369(C).
    • Handle: RePEc:eee:appene:v:369:y:2024:i:c:s0306261924009772
    DOI: 10.1016/j.apenergy.2024.123594
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    as
    1. Halmschlager, Daniel & Beck, Anton & Knöttner, Sophie & Koller, Martin & Hofmann, René, 2022. "Combined optimization for retrofitting of heat recovery and thermal energy supply in industrial systems," Applied Energy, Elsevier, vol. 305(C).
    2. Walden, Jasper V.M. & Wellig, Beat & Stathopoulos, Panagiotis, 2023. "Heat pump integration in non-continuous industrial processes by Dynamic Pinch Analysis Targeting," Applied Energy, Elsevier, vol. 352(C).
    3. Oluleye, Gbemi & Jiang, Ning & Smith, Robin & Jobson, Megan, 2017. "A novel screening framework for waste heat utilization technologies," Energy, Elsevier, vol. 125(C), pages 367-381.
    4. Lu, Shuai & Li, Yuan & Gu, Wei & Xu, Yijun & Ding, Shixing, 2023. "Economy-carbon coordination in integrated energy systems: Optimal dispatch and sensitivity analysis," Applied Energy, Elsevier, vol. 351(C).
    5. Oluleye, Gbemi & Jobson, Megan & Smith, Robin, 2015. "A hierarchical approach for evaluating and selecting waste heat utilization opportunities," Energy, Elsevier, vol. 90(P1), pages 5-23.
    6. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    7. Zhang, Chaoyi & Jiao, Zaibin & Liu, Junshan & Ning, Keer, 2023. "Robust planning and economic analysis of park-level integrated energy system considering photovoltaic/thermal equipment," Applied Energy, Elsevier, vol. 348(C).
    8. Zhou, Yizhou & Li, Xiang & Han, Haiteng & Wei, Zhinong & Zang, Haixiang & Sun, Guoqiang & Chen, Sheng, 2024. "Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach," Applied Energy, Elsevier, vol. 353(PA).
    9. Liew, Peng Yen & Walmsley, Timothy Gordon & Wan Alwi, Sharifah Rafidah & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2016. "Integrating district cooling systems in Locally Integrated Energy Sectors through Total Site Heat Integration," Applied Energy, Elsevier, vol. 184(C), pages 1350-1363.
    10. Li, Yang & Han, Meng & Shahidehpour, Mohammad & Li, Jiazheng & Long, Chao, 2023. "Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response," Applied Energy, Elsevier, vol. 335(C).
    11. Oluleye, Gbemi & Smith, Robin, 2016. "A mixed integer linear programming model for integrating thermodynamic cycles for waste heat exploitation in process sites," Applied Energy, Elsevier, vol. 178(C), pages 434-453.
    12. Zhou, Nan & Price, Lynn & Yande, Dai & Creyts, Jon & Khanna, Nina & Fridley, David & Lu, Hongyou & Feng, Wei & Liu, Xu & Hasanbeigi, Ali & Tian, Zhiyu & Yang, Hongwei & Bai, Quan & Zhu, Yuezhong & Xio, 2019. "A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030," Applied Energy, Elsevier, vol. 239(C), pages 793-819.
    13. Oluleye, Gbemi & Jobson, Megan & Smith, Robin & Perry, Simon J., 2016. "Evaluating the potential of process sites for waste heat recovery," Applied Energy, Elsevier, vol. 161(C), pages 627-646.
    14. Wang, Xuan & Jin, Ming & Feng, Wei & Shu, Gequn & Tian, Hua & Liang, Youcai, 2018. "Cascade energy optimization for waste heat recovery in distributed energy systems," Applied Energy, Elsevier, vol. 230(C), pages 679-695.
    15. Wang, Yongli & Huang, Feifei & Tao, Siyi & Ma, Yang & Ma, Yuze & Liu, Lin & Dong, Fugui, 2022. "Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy," Applied Energy, Elsevier, vol. 306(PB).
    16. Zhang, Ce & Han, Zongwei & Dong, Jiaxiang & Li, Mengyi & Zhang, Yiqi & Li, Xiuming & Wen, Zhenwu & Wang, Qinghai, 2024. "A novel data center air conditioner and its application scheme balancing high-efficiency cooling and waste heat recovery: Environmental and economic analysis," Energy, Elsevier, vol. 291(C).
    17. Zhang, Shufan & Zhou, Nan & Feng, Wei & Ma, Minda & Xiang, Xiwang & You, Kairui, 2023. "Pathway for decarbonizing residential building operations in the US and China beyond the mid-century," Applied Energy, Elsevier, vol. 342(C).
    18. Jin, Yuhui & Chang, Chuei-Tin & Li, Shaojun & Jiang, Da, 2018. "On the use of risk-based Shapley values for cost sharing in interplant heat integration programs," Applied Energy, Elsevier, vol. 211(C), pages 904-920.
    19. Walden, Jasper V.M. & Bähr, Martin & Glade, Anselm & Gollasch, Jens & Tran, A. Phong & Lorenz, Tom, 2023. "Nonlinear operational optimization of an industrial power-to-heat system with a high temperature heat pump, a thermal energy storage and wind energy," Applied Energy, Elsevier, vol. 344(C).
    20. Li, Chengzhou & Wang, Ningling & Wang, Zhuo & Dou, Xiaoxiao & Zhang, Yumeng & Yang, Zhiping & Maréchal, François & Wang, Ligang & Yang, Yongping, 2022. "Energy hub-based optimal planning framework for user-level integrated energy systems: Considering synergistic effects under multiple uncertainties," Applied Energy, Elsevier, vol. 307(C).
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