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Modeling a hydrogen-based sustainable multi-carrier energy system using a multi-objective optimization considering embedded joint chance constraints

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  • Zhang, Hui
  • Wang, Jiye
  • Zhao, Xiongwen
  • Yang, Jingqi
  • Bu sinnah, Zainab Ali

Abstract

Hydrogen-based power generation could increase the sustainability and efficiency of future energy systems due to the higher storing capabilities resulting from the higher gravimetric density of hydrogen energy. This work proposes a hydrogen-based multi-carrier energy system (HMES) comprising renewable energy resource (RES), electricity, and hydrogen markets as input energy carriers and power, cooling, and heating as demands. Thermal water storage and hydrogen tank storage are considered to improve energy efficiency. This system uses the full capacity of intermittent wind and solar energy to increase RES utilization and decrease carbon emissions simultaneously. The environmental and economic goals of the proposed HMES are satisfied through the weighted-sum multi-objective method. The trade-off solution between operation and emission costs is ultimately obtained through the max-min fuzzy method. Chance constraint programming (CCP), which offers decision-makers a variety of risk-taker strategies, is utilized as a tool to manage the risk associated with stochastic optimization. The confidence level of the CCP determines the risk tolerated by the decision-maker, improving the optimization process by creating a more realistic approach to risk management in real-world models. The results show the benefits of hydrogen tank by reducing operation costs by 4.5% and importance of CCP leading to operation costs reduction.

Suggested Citation

  • Zhang, Hui & Wang, Jiye & Zhao, Xiongwen & Yang, Jingqi & Bu sinnah, Zainab Ali, 2023. "Modeling a hydrogen-based sustainable multi-carrier energy system using a multi-objective optimization considering embedded joint chance constraints," Energy, Elsevier, vol. 278(C).
  • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s036054422301037x
    DOI: 10.1016/j.energy.2023.127643
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    as
    1. Huo, Da & Santos, Marcos & Sarantakos, Ilias & Resch, Markus & Wade, Neal & Greenwood, David, 2022. "A reliability-aware chance-constrained battery sizing method for island microgrid," Energy, Elsevier, vol. 251(C).
    2. Ramin Nourollahi & Pouya Salyani & Kazem Zare & Behnam Mohammadi-Ivatloo & Zulkurnain Abdul-Malek, 2022. "Peak-Load Management of Distribution Network Using Conservation Voltage Reduction and Dynamic Thermal Rating," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    3. Saberi-Beglar, Kasra & Zare, Kazem & Seyedi, Heresh & Marzband, Mousa & Nojavan, Sayyad, 2023. "Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads," Applied Energy, Elsevier, vol. 329(C).
    4. Khanna, Tarun M., 2022. "Using agricultural demand for reducing costs of renewable energy integration in India," Energy, Elsevier, vol. 254(PC).
    5. Zandrazavi, Seyed Farhad & Guzman, Cindy Paola & Pozos, Alejandra Tabares & Quiros-Tortos, Jairo & Franco, John Fredy, 2022. "Stochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles," Energy, Elsevier, vol. 241(C).
    6. Chen, Yuxin & Jiang, Yuewen, 2023. "Interval energy flow calculation method for electricity-heat-hydrogen integrated energy system considering the correlation between variables," Energy, Elsevier, vol. 263(PB).
    7. Bornapour, Mosayeb & Hooshmand, Rahmat-Allah & Parastegari, Moein, 2019. "An efficient scenario-based stochastic programming method for optimal scheduling of CHP-PEMFC, WT, PV and hydrogen storage units in micro grids," Renewable Energy, Elsevier, vol. 130(C), pages 1049-1066.
    8. Coppitters, Diederik & De Paepe, Ward & Contino, Francesco, 2020. "Robust design optimization and stochastic performance analysis of a grid-connected photovoltaic system with battery storage and hydrogen storage," Energy, Elsevier, vol. 213(C).
    9. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    10. Fan, Guangyao & Liu, Zhijian & Liu, Xuan & Shi, Yaxin & Wu, Di & Guo, Jiacheng & Zhang, Shicong & Yang, Xinyan & Zhang, Yulong, 2022. "Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage," Energy, Elsevier, vol. 259(C).
    11. Panah, Payam Ghaebi & Bornapour, Mosayeb & Hemmati, Reza & Guerrero, Josep M., 2021. "Charging station Stochastic Programming for Hydrogen/Battery Electric Buses using Multi-Criteria Crow Search Algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    12. Fleschutz, Markus & Bohlayer, Markus & Braun, Marco & Henze, Gregor & Murphy, Michael D., 2021. "The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices," Applied Energy, Elsevier, vol. 295(C).
    13. Ma, Zherui & Wang, Jiangjiang & Dong, Fuxiang & Han, Zepeng & Tian, Lei & Yan, Rujing & Liang, Zhanwei, 2022. "Thermodynamic analysis of fuel-cell-based combined cooling, heating, and power system integrated solar energy and chemical looping hydrogen generation," Energy, Elsevier, vol. 238(PC).
    14. Cappa, Francesco & Facci, Andrea Luigi & Ubertini, Stefano, 2015. "Proton exchange membrane fuel cell for cooperating households: A convenient combined heat and power solution for residential applications," Energy, Elsevier, vol. 90(P2), pages 1229-1238.
    15. Ghappani, Seyyed Aliasghar & Karimi, Ali, 2023. "Optimal operation framework of an energy hub with combined heat, hydrogen, and power (CHHP) system based on ammonia," Energy, Elsevier, vol. 266(C).
    16. Ji, Zhengsen & Niu, Dongxiao & Li, Wanying & Wu, Gengqi & Yang, Xiaolong & Sun, Lijie, 2022. "Improving the energy efficiency of China: An analysis considering clean energy and fossil energy resources," Energy, Elsevier, vol. 259(C).
    17. Lu, Qiang & Zhang, Bo & Yang, Shichun & Peng, Zhaoxia, 2022. "Life cycle assessment on energy efficiency of hydrogen fuel cell vehicle in China," Energy, Elsevier, vol. 257(C).
    18. Pang, Kang Ying & Liew, Peng Yen & Woon, Kok Sin & Ho, Wai Shin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2023. "Multi-period multi-objective optimisation model for multi-energy urban-industrial symbiosis with heat, cooling, power and hydrogen demands," Energy, Elsevier, vol. 262(PA).
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