IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v249y2022ics0360544222006582.html

Low-carbon economic planning of integrated electricity-gas energy systems

Author

Listed:
  • Xiang, Yue
  • Guo, Yongtao
  • Wu, Gang
  • Liu, Junyong
  • Sun, Wei
  • Lei, Yutian
  • Zeng, Pingliang

Abstract

The energy system carbon reduction is an inevitable trend to deal with the global warming problem. The power industry, being a vital part of energy system, faces severe challenges. To decarbonize the power sectors, the implementation of low-carbon technologies and integration of high penetrated renewable power generation would be an effective solution. Therefore, given the existence of multi-type low-carbon technologies including the flexibility reformation of coal-fired units, construction of gas-fired units and installation of energy storage systems, a low-carbon economic planning model of integrated electricity-gas systems with high penetration of wind generation is proposed. The carbon tax and carbon capture technology are integrated to accelerate carbon reductions. In particular, the strategic planning cases contributed by different scenarios are formulated. The simulation results on an electricity-gas test system demonstrate the feasibility and effectiveness of the proposed model in carbon reduction as well as wind curtailment decrease. Compared with the initial state, the implementations of the proposed three planning strategies can reduce carbon emissions by 9.8%, 32.5% and 9.3%, respectively. Meanwhile, the wind power curtailment ratio is decreased by 63.2%, 38.9%, and 63.7%, respectively. Moreover, a sensitivity analysis of carbon tax price and wind power penetration level are performed to investigate the low-carbon transition of the integrated electricity-gas systems.

Suggested Citation

  • Xiang, Yue & Guo, Yongtao & Wu, Gang & Liu, Junyong & Sun, Wei & Lei, Yutian & Zeng, Pingliang, 2022. "Low-carbon economic planning of integrated electricity-gas energy systems," Energy, Elsevier, vol. 249(C).
    • Handle: RePEc:eee:energy:v:249:y:2022:i:c:s0360544222006582
    DOI: 10.1016/j.energy.2022.123755
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222006582
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.123755?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mao, Jiachen & Jafari, Mehdi & Botterud, Audun, 2022. "Planning low-carbon distributed power systems: Evaluating the role of energy storage," Energy, Elsevier, vol. 238(PA).
    2. He, Liangce & Lu, Zhigang & Zhang, Jiangfeng & Geng, Lijun & Zhao, Hao & Li, Xueping, 2018. "Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas," Applied Energy, Elsevier, vol. 224(C), pages 357-370.
    3. Poncelet, Kris & Delarue, Erik & D’haeseleer, William, 2020. "Unit commitment constraints in long-term planning models: Relevance, pitfalls and the role of assumptions on flexibility," Applied Energy, Elsevier, vol. 258(C).
    4. Wyrwa, Artur & Suwała, Wojciech & Pluta, Marcin & Raczyński, Maciej & Zyśk, Janusz & Tokarski, Stanisław, 2022. "A new approach for coupling the short- and long-term planning models to design a pathway to carbon neutrality in a coal-based power system," Energy, Elsevier, vol. 239(PE).
    5. Xiang, Yue & Wu, Gang & Shen, Xiaodong & Ma, Yuhang & Gou, Jing & Xu, Weiting & Liu, Junyong, 2021. "Low-carbon economic dispatch of electricity-gas systems," Energy, Elsevier, vol. 226(C).
    6. 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).
    7. Moradi-Sepahvand, Mojtaba & Amraee, Turaj, 2021. "Integrated expansion planning of electric energy generation, transmission, and storage for handling high shares of wind and solar power generation," Applied Energy, Elsevier, vol. 298(C).
    8. de Sisternes, Fernando J. & Jenkins, Jesse D. & Botterud, Audun, 2016. "The value of energy storage in decarbonizing the electricity sector," Applied Energy, Elsevier, vol. 175(C), pages 368-379.
    9. Qadrdan, Meysam & Chaudry, Modassar & Jenkins, Nick & Baruah, Pranab & Eyre, Nick, 2015. "Impact of transition to a low carbon power system on the GB gas network," Applied Energy, Elsevier, vol. 151(C), pages 1-12.
    10. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    11. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2015. "Multi-objective operation management of a multi-carrier energy system," Energy, Elsevier, vol. 88(C), pages 430-442.
    12. Lueken, Roger & Klima, Kelly & Griffin, W. Michael & Apt, Jay, 2016. "The climate and health effects of a USA switch from coal to gas electricity generation," Energy, Elsevier, vol. 109(C), pages 1160-1166.
    13. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    14. Chen, Wenying & Xu, Ruina, 2010. "Clean coal technology development in China," Energy Policy, Elsevier, vol. 38(5), pages 2123-2130, May.
    15. Zhang, Shuai & Liu, Linlin & Zhang, Lei & Zhuang, Yu & Du, Jian, 2018. "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China," Applied Energy, Elsevier, vol. 231(C), pages 194-206.
    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. Jiang, Tangyang & Cao, Chi & Lei, Leyuan & Hou, Jie & Yu, Yang & Jahanger, Atif, 2023. "Temporal and spatial patterns, efficiency losses and impact factors of energy mismatch in China under environmental constraints," Energy, Elsevier, vol. 282(C).
    2. Liu, Xiaoou, 2025. "Strategy research on variable load carbon price and demand response of integrated energy system based on Stackelberg game and cooperative game," Energy, Elsevier, vol. 328(C).
    3. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2024. "Enhancing accuracy of flexibility characterization in integrated energy system design: A variable temporal resolution optimization method," Energy, Elsevier, vol. 288(C).
    4. Ma, Runzhuo & Bu, Siqi, 2025. "Evaluation and mitigation of carbon emissions in energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    5. Min Pang & Yichang Zhang & Sha He & Qiong Li, 2023. "Influencing Factors and Their Influencing Mechanisms on Integrated Power and Gas System Coupling," Sustainability, MDPI, vol. 15(17), pages 1-13, September.
    6. Dong, Wei & Chen, Chaofan & Fang, Xiaolun & Zhang, Fan & Yang, Qiang, 2024. "Enhanced integrated energy system planning through unified model coupling multiple energy and carbon emission flows," Energy, Elsevier, vol. 307(C).
    7. Shen, Haoning & Ding, Tao & Mu, Chenggang & Jia, Wenhao & Yuan, Yi & Xue, Yixun & Ge, Huaichang & Chang, Xinyue & Li, Fangxing, 2025. "Interval carbon emission flow model and bi-level branch-and-bound algorithm for power systems considering renewable energy uncertainty," Energy, Elsevier, vol. 333(C).
    8. Guo, Yongtao & Xiang, Yue & Yuan, Xufeng & Zhang, Chao & Wang, Yang & Tan, Zhukui, 2025. "Flexibility-enhancing planning for PV penetrated distribution systems," Renewable Energy, Elsevier, vol. 253(C).
    9. Ye, Jin & Shuai, Qilin & Hua, Qingsong, 2025. "Dynamic programming-based low-carbon and economic scheduling of integrated energy system," Energy, Elsevier, vol. 322(C).
    10. Zhi, Zhang & Ming, Zhou & Bo, Yuan & Zun, Guo & Zhaoyuan, Wu & Gengyin, Li, 2023. "Multipath retrofit planning approach for coal-fired power plants in low-carbon power system transitions: Shanxi Province case in China," Energy, Elsevier, vol. 275(C).
    11. Peiran Liang & Honghang Zhang & Rui Liang, 2025. "Cooperative Game Enabled Low-Carbon Energy Dispatching of Multi-Regional Integrated Energy Systems Considering Carbon Market," Energies, MDPI, vol. 18(4), pages 1-18, February.
    12. Liu, Wei, 2025. "Towards power-to-X and carbon capture technologies for decarbonized green cities: A multi-layer cost-effective energy scheduling approach in integrated energy systems for targeting carbon footprint reduction," Energy, Elsevier, vol. 335(C).
    13. Hu, Juxi & Wang, Rui & Xin, Dakuan & Liu, Siyuan & Cao, Kai & Zhao, Ke, 2026. "Digital twin-enabled dynamic 4E-S multi-objective optimization framework for intelligent gas turbine operation with flexible loads," Applied Energy, Elsevier, vol. 407(C).
    14. Zhang, Jinliang & Hu, Zeping, 2025. "Game optimization research of integrated energy system based on the Kriging meta-model with multi-market coupling," Energy, Elsevier, vol. 322(C).
    15. Liu, Jing & Zhao, Tong, 2024. "Optimal operation of electricity-gas-heating-cooling integrated energy systems with SCPR-based carbon trading using a novel SMABC algorithm," Renewable Energy, Elsevier, vol. 232(C).
    16. Liu, Fan & Duan, Jiandong & Wu, Chen & Tian, Qinxing, 2024. "Risk-averse distributed optimization for integrated electricity-gas systems considering uncertainties of Wind-PV and power-to-gas," Renewable Energy, Elsevier, vol. 227(C).
    17. Masoud Khatibi & Abbas Rabiee & Amir Bagheri, 2023. "Integrated Electricity and Gas Systems Planning: New Opportunities, and a Detailed Assessment of Relevant Issues," Sustainability, MDPI, vol. 15(8), pages 1-32, April.
    18. He, Chuan & Zhou, You & Liu, Xuan & Nan, Lu & Liu, Tianqi & Wu, Lei, 2025. "Reliability-constrained distributionally robust expansion planning of integrated electricity-gas distribution system with demand response," Energy, Elsevier, vol. 321(C).
    19. Chen, Nan & Gao, Junheng & Gao, Lihui & Yang, Shuanghao & Chen, Shouyan, 2025. "Economic dispatch of integrated energy systems taking into account the participation of flexible loads and concentrated solar power plants," Energy, Elsevier, vol. 320(C).
    20. Yuxing Liu & Linjun Zeng & Jie Zeng & Zhenyi Yang & Na Li & Yuxin Li, 2023. "Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP," Energies, MDPI, vol. 16(5), pages 1-17, February.
    21. Lv, Xiaoyan & Li, Xingmei & Jia, Dongqing & Shen, Zhong, 2025. "Collaborative optimization for multipath coal-fired power project transition and renewable energy power project portfolio selection considering capacity payment and CCER," Applied Energy, Elsevier, vol. 381(C).
    22. Yuan, Zijun & Zhang, Heng & Cheng, Haozhong & Zhang, Shenxi & Zhang, Xiaohu & Lu, Jianzhong, 2024. "Low-carbon oriented power system expansion planning considering the long-term uncertainties of transition tasks," Energy, Elsevier, vol. 307(C).
    23. Chen, Xianqing & Yang, Lingfang & Dong, Wei & Yang, Qiang, 2024. "Net-zero carbon emission oriented Bi-level optimal capacity planning of integrated energy system considering carbon capture and hydrogen facilities," Renewable Energy, Elsevier, vol. 237(PB).
    24. Zifan Tang & Yue Yin & Chao Chen & Changle Liu & Zhuoxun Li & Benyao Shi, 2025. "A Synergistic Planning Framework for Low-Carbon Power Systems: Integrating Coal-Fired Power Plant Retrofitting with a Carbon and Green Certificate Market Coupling Mechanism," Energies, MDPI, vol. 18(9), pages 1-24, May.

    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. Ma, Runzhuo & Bu, Siqi, 2025. "Evaluation and mitigation of carbon emissions in energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    2. Xiang, Yue & Wu, Gang & Shen, Xiaodong & Ma, Yuhang & Gou, Jing & Xu, Weiting & Liu, Junyong, 2021. "Low-carbon economic dispatch of electricity-gas systems," Energy, Elsevier, vol. 226(C).
    3. Shi, Zhengkun & Yang, Yongbiao & Xu, Qingshan & Wu, Chenyu & Hua, Kui, 2023. "A low-carbon economic dispatch for integrated energy systems with CCUS considering multi-time-scale allocation of carbon allowance," Applied Energy, Elsevier, vol. 351(C).
    4. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    5. Zhu, Jizhong & Zhou, Jialin & Zhang, Di & Gan, Wei & Sun, Chao, 2025. "Trusted low-carbon optimized economic dispatch for integrated energy industrial park based on blockchain technology," Applied Energy, Elsevier, vol. 381(C).
    6. Liu, Wei, 2025. "Towards power-to-X and carbon capture technologies for decarbonized green cities: A multi-layer cost-effective energy scheduling approach in integrated energy systems for targeting carbon footprint reduction," Energy, Elsevier, vol. 335(C).
    7. Maximilian Parzen & Fabian Neumann & Addrian H. Van Der Weijde & Daniel Friedrich & Aristides Kiprakis, 2021. "Beyond cost reduction: Improving the value of energy storage in electricity systems," Papers 2101.10092, arXiv.org, revised Jul 2022.
    8. Shin, Hansol & Kim, Tae Hyun & Kim, Hyoungtae & Lee, Sungwoo & Kim, Wook, 2019. "Environmental shutdown of coal-fired generators for greenhouse gas reduction: A case study of South Korea," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    9. Wu, Qunli & Li, Chunxiang, 2023. "Modeling and operation optimization of hydrogen-based integrated energy system with refined power-to-gas and carbon-capture-storage technologies under carbon trading," Energy, Elsevier, vol. 270(C).
    10. Qian Wu & Yang Li & Qianguo Lin & Zhaojie Xue & Ruyi Lin, 2025. "Development of an Inexact Dynamic Source–Sink Matching Optimization Model for CCUS Cluster System Planning Under Uncertainty," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 15(6), pages 696-712, December.
    11. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    12. Kleanthis, Nikos & Stavrakas, Vassilis & Flamos, Alexandros, 2025. "Bidirectional soft-linking of a Capacity Expansion Model with a Production Cost Model to evaluate the feasibility of transition pathways towards carbon neutrality in the power sector," Applied Energy, Elsevier, vol. 378(PB).
    13. Lei, Lin & Wu, Nan, 2024. "An optimal scheduling strategy for electricity-thermal synergy and complementarity among multi-microgrid based on cooperative games," Renewable Energy, Elsevier, vol. 237(PA).
    14. Yuan, Zijun & Zhang, Heng & Cheng, Haozhong & Zhang, Shenxi & Zhang, Xiaohu & Lu, Jianzhong, 2024. "Low-carbon oriented power system expansion planning considering the long-term uncertainties of transition tasks," Energy, Elsevier, vol. 307(C).
    15. Wang, H.D. & Chen, Y. & Ma, G.W., 2020. "Effects of capillary pressures on two-phase flow of immiscible carbon dioxide enhanced oil recovery in fractured media," Energy, Elsevier, vol. 190(C).
    16. de Chalendar, Jacques A. & Benson, Sally M., 2021. "A physics-informed data reconciliation framework for real-time electricity and emissions tracking," Applied Energy, Elsevier, vol. 304(C).
    17. Bojana Škrbić & Željko Đurišić, 2023. "Novel Planning Methodology for Spatially Optimized RES Development Which Minimizes Flexibility Requirements for Their Integration into the Power System," Energies, MDPI, vol. 16(7), pages 1-34, April.
    18. Peer, Rebecca A.M. & Sanders, Kelly T., 2018. "The water consequences of a transitioning US power sector," Applied Energy, Elsevier, vol. 210(C), pages 613-622.
    19. Wang, Jiangjiang & Deng, Hongda & Qi, Xiaoling, 2022. "Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks," Energy, Elsevier, vol. 261(PA).
    20. Yin, Linfei & Xie, Jiaxing, 2022. "Multi-feature-scale fusion temporal convolution networks for metal temperature forecasting of ultra-supercritical coal-fired power plant reheater tubes," Energy, Elsevier, vol. 238(PA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:energy:v:249:y:2022:i:c:s0360544222006582. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.