IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v240y2022ics0360544221030449.html
   My bibliography  Save this article

Modeling and optimal dispatch of a carbon-cycle integrated energy system for low-carbon and economic operation

Author

Listed:
  • Zhang, Guangming
  • Wang, Wei
  • Chen, Zhenyu
  • Li, Ruilian
  • Niu, Yuguang

Abstract

Energy efficiency and greenhouse gas emissions mitigation are important topics in modern energy systems research. In this study, power-to-gas (P2G), carbon capture, supercritical CO2 (S–CO2) cycle systems are integrated into a carbon cycle system, and the role of the carbon cycle system in the electricity-heat integrated energy system (IES) is explored. The carbon capture system collects the CO2 produced by coal-fired and gas-fired units, which can be recycled in two ways. One is sent to P2G device to react with the hydrogen produced by electrolysis of water. The other part is sent to the S–CO2 unit as the supplementary working fluid. In addition, the waste heat of the gas-fired unit and the heat released in P2G are collected as additional heat supply. This work focuses on the optimal dispatch in an IES with carbon cycle system connection. The optimization results show that with the orderly regulation of the carbon cycle subsystem, the wind power and photovoltaics' curtailment rates can be reduced by 3.1% and 10.8%, respectively. And the system's carbon emissions are reduced by 89.5%. Besides, IES's energy and exergy efficiencies increase by 1% and 0.9% after applying the carbon cycle system.

Suggested Citation

  • Zhang, Guangming & Wang, Wei & Chen, Zhenyu & Li, Ruilian & Niu, Yuguang, 2022. "Modeling and optimal dispatch of a carbon-cycle integrated energy system for low-carbon and economic operation," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221030449
    DOI: 10.1016/j.energy.2021.122795
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221030449
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122795?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Hu, Hemin & Guo, Chaohong & Cai, Haofei & Jiang, Yuyan & Liang, Shiqiang & Guo, Yongxian, 2021. "Dynamic characteristics of the recuperator thermal performance in a S–CO2 Brayton cycle," Energy, Elsevier, vol. 214(C).
    2. Sinsel, Simon R. & Riemke, Rhea L. & Hoffmann, Volker H., 2020. "Challenges and solution technologies for the integration of variable renewable energy sources—a review," Renewable Energy, Elsevier, vol. 145(C), pages 2271-2285.
    3. Li, Na & Zhang, Xiaoling & Shi, Minjun & Zhou, Shenglv, 2017. "The prospects of China’s long-term economic development and CO2 emissions under fossil fuel supply constraints," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 11-22.
    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. Ma, Shuaiyin & Huang, Yuming & Liu, Yang & Kong, Xianguang & Yin, Lei & Chen, Gaige, 2023. "Edge-cloud cooperation-driven smart and sustainable production for energy-intensive manufacturing industries," Applied Energy, Elsevier, vol. 337(C).
    2. Athanasios Ioannis Arvanitidis & Vivek Agarwal & Miltiadis Alamaniotis, 2023. "Nuclear-Driven Integrated Energy Systems: A State-of-the-Art Review," Energies, MDPI, vol. 16(11), pages 1-23, May.
    3. Yicheng Li & Lixiong Xu & Xiangmei Lv & Yiran Xiao, 2022. "Low-Carbon Scheduling of Integrated Electricity and Gas Distribution System Considering V2G," Energies, MDPI, vol. 15(24), pages 1-18, December.
    4. 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).
    5. Alabi, Tobi Michael & Lawrence, Nathan P. & Lu, Lin & Yang, Zaiyue & Bhushan Gopaluni, R., 2023. "Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system," Applied Energy, Elsevier, vol. 333(C).
    6. 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.
    7. Zhang, Guangming & Zhang, Chao & Wang, Wei & Cao, Huan & Chen, Zhenyu & Niu, Yuguang, 2023. "Offline reinforcement learning control for electricity and heat coordination in a supercritical CHP unit," Energy, Elsevier, vol. 266(C).
    8. 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).
    9. Xu, Jiazhu & Yi, Yuqin, 2023. "Multi-microgrid low-carbon economy operation strategy considering both source and load uncertainty: A Nash bargaining approach," Energy, Elsevier, vol. 263(PB).
    10. Li, Ke & Ye, Ning & Li, Shuzhen & Wang, Haiyang & Zhang, Chenghui, 2023. "Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory," Energy, Elsevier, vol. 273(C).
    11. Dai, Yuanhang & Hao, Junhong & Wang, Xingce & Chen, Lei & Chen, Qun & Du, Xiaoze, 2022. "A comprehensive model and its optimal dispatch of an integrated electrical-thermal system with multiple heat sources," Energy, Elsevier, vol. 261(PA).
    12. 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.
    13. Li, Ruilian & Zeng, Deliang & Li, Tingting & Ti, Baozhong & Hu, Yong, 2023. "Real-time prediction of SO2 emission concentration under wide range of variable loads by convolution-LSTM VE-transformer," Energy, Elsevier, vol. 269(C).
    14. Zhou, Yanting & Ma, Zhongjing & Zhang, Jinhui & Zou, Suli, 2022. "Data-driven stochastic energy management of multi energy system using deep reinforcement learning," Energy, Elsevier, vol. 261(PA).
    15. Li, Jiamei & Ai, Qian & Chen, Minyu, 2023. "Strategic behavior modeling and energy management for electric-thermal-carbon-natural gas integrated energy system considering ancillary service," Energy, Elsevier, vol. 278(C).

    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. Zapata, Sebastian & Castaneda, Monica & Aristizabal, Andres J. & Dyner, Isaac, 2022. "Renewables for supporting supply adequacy in Colombia," Energy, Elsevier, vol. 239(PC).
    2. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    3. Wang, Mingtao & Zhang, Juan & Liu, Huanwei, 2022. "Thermodynamic analysis and optimization of two low-grade energy driven transcritical CO2 combined cooling, heating and power systems," Energy, Elsevier, vol. 249(C).
    4. Bruno Cárdenas & Lawrie Swinfen-Styles & James Rouse & Seamus D. Garvey, 2021. "Short-, Medium-, and Long-Duration Energy Storage in a 100% Renewable Electricity Grid: A UK Case Study," Energies, MDPI, vol. 14(24), pages 1-28, December.
    5. Julien Walzberg & Annika Eberle, 2023. "Modeling Systems’ Disruption and Social Acceptance—A Proof-of-Concept Leveraging Reinforcement Learning," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    6. Shah Rukh Abbas & Syed Ali Abbas Kazmi & Muhammad Naqvi & Adeel Javed & Salman Raza Naqvi & Kafait Ullah & Tauseef-ur-Rehman Khan & Dong Ryeol Shin, 2020. "Impact Analysis of Large-Scale Wind Farms Integration in Weak Transmission Grid from Technical Perspectives," Energies, MDPI, vol. 13(20), pages 1-32, October.
    7. Abadie, Luis Mª & Chamorro, José M., 2023. "Investment in wind-based hydrogen production under economic and physical uncertainties," Applied Energy, Elsevier, vol. 337(C).
    8. Yinhe Bu & Xingping Zhang, 2021. "On the Way to Integrate Increasing Shares of Variable Renewables in China: Experience from Flexibility Modification and Deep Peak Regulation Ancillary Service Market Based on MILP-UC Programming," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
    9. Li, Zhen & Lu, Daogang & Wang, Zhichao & Cao, Qiong, 2023. "Analysis on flow and heat transfer performance of SCO2 in airfoil channels with different fin angles of attack," Energy, Elsevier, vol. 282(C).
    10. Pashchenko, Dmitry, 2023. "Hydrogen-rich gas as a fuel for the gas turbines: A pathway to lower CO2 emission," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    11. Ferraz de Campos, Victor Arruda & Silva, Valter Bruno & Cardoso, João Sousa & Brito, Paulo S. & Tuna, Celso Eduardo & Silveira, José Luz, 2021. "A review of waste management in Brazil and Portugal: Waste-to-energy as pathway for sustainable development," Renewable Energy, Elsevier, vol. 178(C), pages 802-820.
    12. Ruhnau, Oliver & Hennig, Patrick & Madlener, Reinhard, 2020. "Economic implications of forecasting electricity generation from variable renewable energy sources," Renewable Energy, Elsevier, vol. 161(C), pages 1318-1327.
    13. Hamilton, James & Negnevitsky, Michael & Wang, Xiaolin, 2022. "The role of modified diesel generation within isolated power systems," Energy, Elsevier, vol. 240(C).
    14. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Shamim, Tariq & Domenighini, Piergiovanni & Cotana, Franco & Wang, Jinwen & Fantozzi, Francesco & Bianchi, Francesco, 2023. "Transition toward net zero emissions - Integration and optimization of renewable energy sources: Solar, hydro, and biomass with the local grid station in central Italy," Renewable Energy, Elsevier, vol. 207(C), pages 672-686.
    15. Costa, Marcelo Azevedo & Ruiz-Cárdenas, Ramiro & Mineti, Leandro Brioschi & Prates, Marcos Oliveira, 2021. "Dynamic time scan forecasting for multi-step wind speed prediction," Renewable Energy, Elsevier, vol. 177(C), pages 584-595.
    16. García, Antonio & Monsalve-Serrano, Javier & Martínez-Boggio, Santiago & Rückert Roso, Vinícius & Duarte Souza Alvarenga Santos, Nathália, 2020. "Potential of bio-ethanol in different advanced combustion modes for hybrid passenger vehicles," Renewable Energy, Elsevier, vol. 150(C), pages 58-77.
    17. Andersen, Allan Dahl & Markard, Jochen, 2020. "Multi-technology interaction in socio-technical transitions: How recent dynamics in HVDC technology can inform transition theories," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    18. Sayed Ebrahim Hashemi & Kristian M. Lien & Magne Hillestad & Sondre K. Schnell & Bjørn Austbø, 2021. "Thermodynamic Insight in Design of Methanation Reactor with Water Removal Considering Nexus between CO 2 Conversion and Irreversibilities," Energies, MDPI, vol. 14(23), pages 1-21, November.
    19. Alina Ilinova & Natalia Romasheva & Alexey Cherepovitsyn, 2021. "CC(U)S Initiatives: Public Effects and “Combined Value” Performance," Resources, MDPI, vol. 10(6), pages 1-20, June.
    20. Lu, Yilin & Xu, Jingxuan & Chen, Xi & Tian, Yafen & Zhang, Hua, 2023. "Design and thermodynamic analysis of an advanced liquid air energy storage system coupled with LNG cold energy, ORCs and natural resources," Energy, Elsevier, vol. 275(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:eee:energy:v:240:y:2022:i:c:s0360544221030449. 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.