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Multi-objective optimization of multi-period interplant heat integration using steam system

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  • Ma, Jiaze
  • Chang, Chenglin
  • Wang, Yufei
  • Feng, Xiao

Abstract

This paper proposed a mathematical model for formulating interplant heat exchanger network (HEN) operated under multi-periods. Each individual plant is linked through a centralized utility system and steam is selected as the heat transferring medium. Previous studies on optimizing interplant HENs mainly focus on minimizing the cost of system. In this study, the interplant HEN is optimized with two objectives: minimizing the cost and the environmental impact (EI). The maximum representative approach for the area of exchangers is used to formulate a flexible network that can be operated under the worst condition. A case study is employed to show the effectiveness of the proposed model. Pareto curves are plotted to exhibit the trade-off between the two different objectives. The results show that the utility system occupies a major part of the overall environmental impact, and the construction of exchangers does not exert significant impact on environments. Intensifying the heat integration by increasing heat exchanger areas is an effective approach for reducing environmental impacts of HENs, although it is not cost saving.

Suggested Citation

  • Ma, Jiaze & Chang, Chenglin & Wang, Yufei & Feng, Xiao, 2018. "Multi-objective optimization of multi-period interplant heat integration using steam system," Energy, Elsevier, vol. 159(C), pages 950-960.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:950-960
    DOI: 10.1016/j.energy.2018.06.217
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    References listed on IDEAS

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    1. Chang, Chenglin & Chen, Xiaolu & Wang, Yufei & Feng, Xiao, 2017. "Simultaneous optimization of multi-plant heat integration using intermediate fluid circles," Energy, Elsevier, vol. 121(C), pages 306-317.
    2. Song, Runrun & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part I: A novel screening algorithm," Energy, Elsevier, vol. 140(P1), pages 1018-1029.
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    12. Chang, Hao-Hsuan & Chang, Chuei-Tin & Li, Bao-Hong, 2018. "Game-theory based optimization strategies for stepwise development of indirect interplant heat integration plans," Energy, Elsevier, vol. 148(C), pages 90-111.
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    Citations

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    Cited by:

    1. Yao Sheng & Linlin Liu & Yu Zhuang & Lei Zhang & Jian Du, 2020. "Simultaneous Synthesis of Heat Exchanger Networks Considering Steam Supply and Various Steam Heater Locations," Energies, MDPI, vol. 13(6), pages 1-17, March.
    2. López-Flores, Francisco Javier & Hernández-Pérez, Luis Germán & Lira-Barragán, Luis Fernando & Rubio-Castro, Eusiel & Ponce-Ortega, José M., 2022. "Optimal Profit Distribution in Interplant Waste Heat Integration through a Hybrid Approach," Energy, Elsevier, vol. 253(C).
    3. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    4. Pintarič, Zorka Novak & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2019. "Multi-objective multi-period synthesis of energy efficient processes under variable environmental taxes," Energy, Elsevier, vol. 189(C).
    5. Zhang, Zhaoyan & Jiang, Ping & Liu, Zhibin & Fu, Lei & Wang, Peiguang, 2023. "Capacity optimal configuration and collaborative planning of multi-region integrated energy system," Energy, Elsevier, vol. 278(PB).
    6. Boldyryev, Stanislav & Shamraev, Anatoly A. & Shamraeva, Elena O., 2021. "The design of the total site exchanger network with intermediate heat carriers: Theoretical insights and practical application," Energy, Elsevier, vol. 223(C).
    7. Ji, Feng & Dong, Yachao & Sun, Xiaojing & Liu, Linlin & Du, Jian, 2022. "Industrial park heat integration considering centralized and distributed waste heat recovery cycle systems," Applied Energy, Elsevier, vol. 318(C).

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