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Robust optimal model for rural integrated energy system incorporating biomass waste utilization and power-to-gas coupling unit considering deep learning-based air conditioning load personalized demand response

Author

Listed:
  • Zhu, Zhenle
  • Qu, Zhiguo
  • Gong, Jianqiang
  • Li, Jianjun
  • Xu, Hongtao

Abstract

To realize the low-carbon use of energy and reduce the pressure of energy supply. Based on the characteristics of abundant renewable resources in rural region, considering deep learning-based air conditioning load-personalized demand response (DL-AC-PDR), a robust optimal model for rural integrated energy system (RIES) is designed incorporating biomass waste utilization (BWU)- power to gas (P2G) coupling. Firstly, the study develops a biogas digester (BD) analytical model tailored to system optimization timescales. Subsequently, BD and biogas two-stage membrane purification (BTP) form BWU, and BWU-P2G coupling to alleviate the problem of economic carbon emission contradiction. After that, to alleviate the pressure on the peak power supply, based on deep learning, an air conditioning load-reducing mechanism considering personnel type is proposed. The case studies show: (1) The BD analytical model is improved to make it less complex to solve coupled with other units. (2) The RIES structure was improved by Carbon Capture (CC), Carbon Sequestration (CS) and BWU-P2G coupling units, which reduced the operating cost and carbon emission by 68.49 % and 19.37 %, respectively. (3) The implementation of DL-AC-PDR can reduce peak electrical load by 1.57 MW, and the operating cost and carbon emission of RIES are reduced by 0.36 % and 2.40 %, respectively.

Suggested Citation

  • Zhu, Zhenle & Qu, Zhiguo & Gong, Jianqiang & Li, Jianjun & Xu, Hongtao, 2025. "Robust optimal model for rural integrated energy system incorporating biomass waste utilization and power-to-gas coupling unit considering deep learning-based air conditioning load personalized demand response," Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:energy:v:321:y:2025:i:c:s0360544225011260
    DOI: 10.1016/j.energy.2025.135484
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    as
    1. Xiao, Tianqi & You, Fengqi, 2024. "Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities," Applied Energy, Elsevier, vol. 353(PB).
    2. Meng, Qinglong & Wei, Ying'an & Fan, Jingjing & Li, Yanbo & Zhao, Fan & Lei, Yu & Sun, Hang & Jiang, Le & Yu, Lingli, 2024. "Peak regulation strategies for ground source heat pump demand response of based on load forecasting: A case study of rural building in China," Renewable Energy, Elsevier, vol. 224(C).
    3. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    4. Yang, Meng & Liu, Yisheng, 2023. "Research on multi-energy collaborative operation optimization of integrated energy system considering carbon trading and demand response," Energy, Elsevier, vol. 283(C).
    5. Ye, Jianan & Xie, Min & Zhang, Shiping & Huang, Ying & Liu, Mingbo & Wang, Qiong, 2023. "Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system," Renewable Energy, Elsevier, vol. 211(C), pages 1024-1044.
    6. Ju, Liwei & Liu, Li & Han, Yingzhu & Yang, Shenbo & Li, Gen & Lu, Xiaolong & Liu, Yi & Qiao, Huiting, 2023. "Robust Multi-objective optimal dispatching model for a novel island micro energy grid incorporating biomass waste energy conversion system, desalination and power-to-hydrogen devices," Applied Energy, Elsevier, vol. 343(C).
    7. Hu, Bo & Zhou, P. & Zhang, L.P., 2022. "A digital business model for accelerating distributed renewable energy expansion in rural China," Applied Energy, Elsevier, vol. 316(C).
    8. Zhang, Weiyi & Zhou, Haiyang & Bao, Xiaohua & Cui, Hongzhi, 2023. "Outlet water temperature prediction of energy pile based on spatial-temporal feature extraction through CNN–LSTM hybrid model," Energy, Elsevier, vol. 264(C).
    9. Ju, Liwei & Lu, Xiaolong & Yang, Shenbo & Li, Gen & Fan, Wei & Pan, Yushu & Qiao, Huiting, 2022. "A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response," Applied Energy, Elsevier, vol. 327(C).
    10. Zhang, Kuan & Zhou, Bin & Li, Canbing & Voropai, Nikolai & Li, Jiayong & Huang, Wentao & Wang, Tao, 2021. "Dynamic modeling and coordinated multi-energy management for a sustainable biogas-dominated energy hub," Energy, Elsevier, vol. 220(C).
    11. Garkoti, Pankaj & Ni, Ji-Qin & Thengane, Sonal K., 2024. "Energy management for maintaining anaerobic digestion temperature in biogas plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    12. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    13. Schledorn, Amos & Charousset-Brignol, Sandrine & Junker, Rune Grønborg & Guericke, Daniela & Madsen, Henrik & Dominković, Dominik Franjo, 2024. "Frigg 2.0: Integrating price-based demand response into large-scale energy system analysis," Applied Energy, Elsevier, vol. 364(C).
    14. Mao, Chunlan & Feng, Yongzhong & Wang, Xiaojiao & Ren, Guangxin, 2015. "Review on research achievements of biogas from anaerobic digestion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 540-555.
    15. Wang, Shouxiang & Wang, Shaomin & Zhao, Qianyu & Dong, Shuai & Li, Hao, 2023. "Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand," Energy, Elsevier, vol. 269(C).
    16. Wu, Min & Xu, Jiazhu & Shi, Zhenglu, 2023. "Low carbon economic dispatch of integrated energy system considering extended electric heating demand response," Energy, Elsevier, vol. 278(PA).
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