IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i13p7425-d587436.html
   My bibliography  Save this article

Integrated Energy System Planning Optimization Method and Case Analysis Based on Multiple Factors and A Three-Level Process

Author

Listed:
  • Kang Qian

    (Power System and Its Automation, College of Energy and Electrical Engineering, Hohai University, No.1, Xikang Road, Gulou District, Nanjing 210098, China)

  • Tong Lv

    (Power System and Its Automation, College of Energy and Electrical Engineering, Hohai University, No.1, Xikang Road, Gulou District, Nanjing 210098, China)

  • Yue Yuan

    (Power System and Its Automation, College of Energy and Electrical Engineering, Hohai University, No.1, Xikang Road, Gulou District, Nanjing 210098, China)

Abstract

Now that China has outlined its goals of “carbon peak and carbon neutrality”, the development of clean energy will accelerate, the connection between different energy systems will be closer, and the development prospects of the integrated energy service industry will be broader. Integrated energy services are promoting energy transformation and services. “Carbon peaking, carbon neutrality” and other aspects will also have multiple values and far-reaching significance. Before implementing integrated energy services, the top-level design of integrated energy system planning must be carried out, and how to achieve the optimal allocation of capacity in the field of integrated energy systems is an urgent problem to be solved in integrated energy system planning. This paper combines practical engineering experience and the latest theoretical research results to creatively introduce, for the first time, a comprehensive evaluation into the initial planning stage, and proposes, also for the first time, a three-level multi-element comprehensive energy system planning optimization method which combines multi-element requirements to carry out comprehensive energy system planning and optimization. The three-tier planning and optimization solution results in the optimal planning scheme of the integrated energy system, thereby making the scheme more specific and reliable. According to the demand data of an industrial park, this method was applied to complete a case analysis of integrated energy system planning, which verified the feasibility and effectiveness of the method. This method is easy to popularize, and it will guide the planning of integrated energy systems, promote integrated energy services, promote energy transition, and make positive contributions to achieve carbon neutrality as soon as possible.

Suggested Citation

  • Kang Qian & Tong Lv & Yue Yuan, 2021. "Integrated Energy System Planning Optimization Method and Case Analysis Based on Multiple Factors and A Three-Level Process," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7425-:d:587436
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/13/7425/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/13/7425/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chaudry, Modassar & Jenkins, Nick & Qadrdan, Meysam & Wu, Jianzhong, 2014. "Combined gas and electricity network expansion planning," Applied Energy, Elsevier, vol. 113(C), pages 1171-1187.
    2. Höfer, Tim & Madlener, Reinhard, 2020. "A participatory stakeholder process for evaluating sustainable energy transition scenarios," Energy Policy, Elsevier, vol. 139(C).
    3. Oh, Si-Doek & Lee, Ho-Jun & Jung, Jung-Yeul & Kwak, Ho-Young, 2007. "Optimal planning and economic evaluation of cogeneration system," Energy, Elsevier, vol. 32(5), pages 760-771.
    4. Falcone, Pasquale Marcello & Lopolito, Antonio & Sica, Edgardo, 2019. "Instrument mix for energy transition: A method for policy formulation," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    5. Azimian, Mahdi & Amir, Vahid & Javadi, Saeid, 2020. "Economic and Environmental Policy Analysis for Emission-Neutral Multi-Carrier Microgrid Deployment," Applied Energy, Elsevier, vol. 277(C).
    6. Mu, Yunfei & Chen, Wanqing & Yu, Xiaodan & Jia, Hongjie & Hou, Kai & Wang, Congshan & Meng, Xianjun, 2020. "A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies," Applied Energy, Elsevier, vol. 279(C).
    7. Wang, Yi & Zhang, Ning & Zhuo, Zhenyu & Kang, Chongqing & Kirschen, Daniel, 2018. "Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch," Applied Energy, Elsevier, vol. 210(C), pages 1141-1150.
    8. Hu, Yuan & Bie, Zhaohong & Ding, Tao & Lin, Yanling, 2016. "An NSGA-II based multi-objective optimization for combined gas and electricity network expansion planning," Applied Energy, Elsevier, vol. 167(C), pages 280-293.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lijun Tang & Xiaolong Gou & Junyu Liang & Yang Yang & Xingyu Yuan & Jiaquan Yang & Yuting Yan & Dada Wang & Yongli Wang & Xin Chen & Bo Yuan & Siyi Tao, 2022. "A Two-Stage Planning Optimization Study of an Integrated Energy System Considering Uncertainty," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    2. Shidong Wu & Hengrui Ma & Abdullah M. Alharbi & Bo Wang & Li Xiong & Suxun Zhu & Lidong Qin & Gangfei Wang, 2023. "Integrated Energy System Based on Isolation Forest and Dynamic Orbit Multivariate Load Forecasting," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    3. Davide Di Battista & Chiara Barchiesi & Luca Di Paolo & Simona Abbate & Sara Sorvillo & Andrea Cinocca & Roberto Carapellucci & Dario Ciamponi & Dina Cardone & Salvatore Corroppolo & Roberto Cipollone, 2021. "The Reporting of Sustainable Energy Action Plans of Municipalities: Methodology and Results of Case Studies from the Abruzzo Region," Energies, MDPI, vol. 14(18), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheng, Yaohua & Zhang, Ning & Kirschen, Daniel S. & Huang, Wujing & Kang, Chongqing, 2020. "Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China," Applied Energy, Elsevier, vol. 261(C).
    2. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    3. Jiang, Yibo & Xu, Jian & Sun, Yuanzhang & Wei, Congying & Wang, Jing & Liao, Siyang & Ke, Deping & Li, Xiong & Yang, Jun & Peng, Xiaotao, 2018. "Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources," Applied Energy, Elsevier, vol. 211(C), pages 237-248.
    4. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    5. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    6. Wu, Min & Xu, Jiazhu & Zeng, Linjun & Li, Chang & Liu, Yuxing & Yi, Yuqin & Wen, Ming & Jiang, Zhuohan, 2022. "Two-stage robust optimization model for park integrated energy system based on dynamic programming," Applied Energy, Elsevier, vol. 308(C).
    7. Meng, Anbo & Wu, Zhenbo & Zhang, Zhan & Xu, Xuancong & Tang, Yanshu & Xie, Zhifeng & Xian, Zikang & Zhang, Haitao & Luo, Jianqiang & Wang, Yu & Yan, Baiping & Yin, Hao, 2024. "Optimal scheduling of integrated energy system using decoupled distributed CSO with opposition-based learning and neighborhood re-dispatch strategy," Renewable Energy, Elsevier, vol. 224(C).
    8. Ahmadisedigh, Hossein & Gosselin, Louis, 2022. "How can combined heating and cooling networks benefit from thermal energy storage? Minimizing lifetime cost for different scenarios," Energy, Elsevier, vol. 243(C).
    9. Santiago Lemos-Cano & James McCalley, 2019. "Co-Optimized Analysis and Design of Electric and Natural Gas Infrastructures," Energies, MDPI, vol. 12(10), pages 1-16, May.
    10. Gan, Wei & Yan, Mingyu & Wen, Jianfeng & Yao, Wei & Zhang, Jing, 2022. "A low-carbon planning method for joint regional-district multi-energy systems: From the perspective of privacy protection," Applied Energy, Elsevier, vol. 311(C).
    11. 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).
    12. Lyu, Jiawei & Zhang, Shenxi & Cheng, Haozhong & Yuan, Kai & Song, Yi, 2022. "A graph theory-based optimal configuration method of energy hub considering the integration of electric vehicles," Energy, Elsevier, vol. 243(C).
    13. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2017. "A multi vector energy analysis for interconnected power and gas systems," Applied Energy, Elsevier, vol. 192(C), pages 315-328.
    14. Qiao, Yiyang & Hu, Fan & Xiong, Wen & Guo, Zihao & Zhou, Xiaoguang & Li, Yajun, 2023. "Multi-objective optimization of integrated energy system considering installation configuration," Energy, Elsevier, vol. 263(PC).
    15. Ahmadisedigh, Hossein & Gosselin, Louis, 2022. "Combined heating and cooling networks with part-load efficiency curves: Optimization based on energy hub concept," Applied Energy, Elsevier, vol. 307(C).
    16. Zhang, Xian & Chan, K.W. & Wang, Huaizhi & Hu, Jiefeng & Zhou, Bin & Zhang, Yan & Qiu, Jing, 2019. "Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations," Energy, Elsevier, vol. 176(C), pages 249-264.
    17. Emrani-Rahaghi, Pouria & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2023. "Efficient voltage control of low voltage distribution networks using integrated optimized energy management of networked residential multi-energy microgrids," Applied Energy, Elsevier, vol. 349(C).
    18. Pérez-Iribarren, E. & González-Pino, I. & Azkorra-Larrinaga, Z. & Gómez-Arriarán, I., 2020. "Optimal design and operation of thermal energy storage systems in micro-cogeneration plants," Applied Energy, Elsevier, vol. 265(C).
    19. Wang, Yongli & Guo, Lu & Wang, Yanan & Zhang, Yunfei & Zhang, Siwen & Liu, Zeqiang & Xing, Juntai & Liu, Ximei, 2024. "Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment," Energy, Elsevier, vol. 298(C).
    20. Zhang, Han & Han, Zhonghe & Wu, Di & Li, Peng & Li, Peng, 2023. "Energy optimization and performance analysis of a novel integrated energy system coupled with solar thermal unit and preheated organic cycle under extended following electric load strategy," Energy, Elsevier, vol. 272(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7425-:d:587436. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.