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Multi-period multi-objective optimisation model for multi-energy urban-industrial symbiosis with heat, cooling, power and hydrogen demands

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  • Pang, Kang Ying
  • Liew, Peng Yen
  • Woon, Kok Sin
  • Ho, Wai Shin
  • Wan Alwi, Sharifah Rafidah
  • Klemeš, Jiří Jaromír

Abstract

Hydrogen is seen as the future energy that will help decarbonise the emissions of global energy use. Hydrogen-related technologies have recently attracted considerable attention due to their relatively low emissions and high energy yield. Even then, little attention was given to hydrogen's use in energy distribution networks. A renewable-based multi-energy system (RMES) considers power, cooling, heating, and hydrogen energy as utility systems for integrated urban and industrial areas to achieve urban-industrial symbiosis. This paper formulates the RMES as a multi-period mixed-integer nonlinear programming (MINLP) model to optimise the RMES, which minimises the financial implications and environmental impacts. Renewable solar energy is provided to the system using the photovoltaic solar system for electrical generation and the solar thermal collector for heat generation. Thermal, battery and hydrogen energy storages are integrated into the RMES to mitigate the energy supply and demand fluctuations and intermittency. A comparative analysis is conducted to individually identify the performance of different energy storage systems for economic and environmental objective functions. The comparison findings indicate that ESS performs better with 45% usage increases under objective environmental functions. The multi-objective optimisation using the ϵ-constraint method obtains the Pareto optimal solutions to the proposed multi-objective problem, which the 4th solution (ATC: 782,500 USD/y; ACE: 2,777.03 kg CO2-eq/y) appears to be the most viable. The solution maintains a high-profit level without sacrificing many opportunities for carbon emissions reduction while satisfying both objective functions simultaneously to a degree of satisfaction of 0.75. Overall, the proposed RMES is proven economical and environmentally friendly for implementation; however, the model is needed to optimise the system based on the specific situation. This study provides the optimisation model for energy recovery and technology optimisation in the multi-energy system for urban-industrial symbiosis, which minimises carbon emission and energy cost. This could lead the energy sector to achieve the Sustainable Development Goals, considering the economically and environmentally viable.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:262:y:2023:i:pa:s0360544222020916
    DOI: 10.1016/j.energy.2022.125201
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    as
    1. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2017. "Optimal design, operation and analytical criteria for determining optimal operating modes of a CCHP with fired HRSG, boiler, electric chiller and absorption chiller," Energy, Elsevier, vol. 139(C), pages 1052-1065.
    2. Kanoglu, Mehmet & Ayanoglu, Abdulkadir & Abusoglu, Aysegul, 2011. "Exergoeconomic assessment of a geothermal assisted high temperature steam electrolysis system," Energy, Elsevier, vol. 36(7), pages 4422-4433.
    3. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.
    4. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    5. Calvin Kong Leng Sing & Jeng Shiun Lim & Timothy Gordon Walmsley & Peng Yen Liew & Masafumi Goto & Sheikh Ahmad Zaki Bin Shaikh Salim, 2020. "Time-Dependent Integration of Solar Thermal Technology in Industrial Processes," Sustainability, MDPI, vol. 12(6), pages 1-32, March.
    6. Olaofe, Zaccheus O. & Folly, Komla A., 2013. "Wind energy analysis based on turbine and developed site power curves: A case-study of Darling City," Renewable Energy, Elsevier, vol. 53(C), pages 306-318.
    7. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Ren, Jianxing, 2016. "Multi-criteria assessment of building combined heat and power systems located in different climate zones: Japan–China comparison," Energy, Elsevier, vol. 103(C), pages 502-512.
    8. Liew, Peng Yen & Walmsley, Timothy Gordon & Wan Alwi, Sharifah Rafidah & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2016. "Integrating district cooling systems in Locally Integrated Energy Sectors through Total Site Heat Integration," Applied Energy, Elsevier, vol. 184(C), pages 1350-1363.
    9. Thapar, Vinay & Agnihotri, Gayatri & Sethi, Vinod Krishna, 2011. "Critical analysis of methods for mathematical modelling of wind turbines," Renewable Energy, Elsevier, vol. 36(11), pages 3166-3177.
    10. Sameti, Mohammad & Haghighat, Fariborz, 2019. "Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power," Renewable Energy, Elsevier, vol. 130(C), pages 371-387.
    11. Yong, Wen Ni & Liew, Peng Yen & Woon, Kok Sin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2021. "A pinch-based multi-energy targeting framework for combined chilling heating power microgrid of urban-industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    12. Sheykhi, Mohammad & Chahartaghi, Mahmood & Safaei Pirooz, Amir Ali & Flay, Richard G.J., 2020. "Investigation of the effects of operating parameters of an internal combustion engine on the performance and fuel consumption of a CCHP system," Energy, Elsevier, vol. 211(C).
    13. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    14. Simona Bigerna & Paolo Polinori, 2015. "Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia," Sustainability, MDPI, vol. 7(10), pages 1-20, September.
    15. Ali, Shahid & Sørensen, Kim & Nielsen, Mads P., 2020. "Modeling a novel combined solid oxide electrolysis cell (SOEC) - Biomass gasification renewable methanol production system," Renewable Energy, Elsevier, vol. 154(C), pages 1025-1034.
    16. Dorotić, Hrvoje & Pukšec, Tomislav & Duić, Neven, 2019. "Multi-objective optimization of district heating and cooling systems for a one-year time horizon," Energy, Elsevier, vol. 169(C), pages 319-328.
    17. Moradpoor, Iraj & Ebrahimi, Masood, 2019. "Thermo-environ analyses of a novel trigeneration cycle based on clean technologies of molten carbonate fuel cell, stirling engine and Kalina cycle," Energy, Elsevier, vol. 185(C), pages 1005-1016.
    18. Bracco, Stefano & Dentici, Gabriele & Siri, Silvia, 2013. "Economic and environmental optimization model for the design and the operation of a combined heat and power distributed generation system in an urban area," Energy, Elsevier, vol. 55(C), pages 1014-1024.
    19. Moya, M. & Bruno, J.C. & Eguia, P. & Torres, E. & Zamora, I. & Coronas, A., 2011. "Performance analysis of a trigeneration system based on a micro gas turbine and an air-cooled, indirect fired, ammonia–water absorption chiller," Applied Energy, Elsevier, vol. 88(12), pages 4424-4440.
    20. Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    21. Wang, Meng & Yu, Hang & Lin, Xiaoyu & Jing, Rui & He, Fangjun & Li, Chaoen, 2020. "Comparing stochastic programming with posteriori approach for multi-objective optimization of distributed energy systems under uncertainty," Energy, Elsevier, vol. 210(C).
    22. Ying, Zhi & Geng, Zhen & Zheng, Xiaoyuan & Dou, Binlin & Cui, Guomin, 2022. "Improving water electrolysis assisted by anodic biochar oxidation for clean hydrogen production," Energy, Elsevier, vol. 238(PB).
    23. Mehr, A.S. & Lanzini, A. & Santarelli, M. & Rosen, Marc A., 2021. "Polygeneration systems based on high temperature fuel cell (MCFC and SOFC) technology: System design, fuel types, modeling and analysis approaches," Energy, Elsevier, vol. 228(C).
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    4. Woon, Kok Sin & Phuang, Zhen Xin & Taler, Jan & Varbanov, Petar Sabev & Chong, Cheng Tung & Klemeš, Jiří Jaromír & Lee, Chew Tin, 2023. "Recent advances in urban green energy development towards carbon emissions neutrality," Energy, Elsevier, vol. 267(C).

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