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Simultaneous optimization of multi-plant heat integration using intermediate fluid circles

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  • Chang, Chenglin
  • Chen, Xiaolu
  • Wang, Yufei
  • Feng, Xiao

Abstract

Multi-plant heat integration can be carried out indirectly through intermediate fluids like steam, thermal oil and hot water. Current researches mainly focus on heat recovery aspect and some important factors are not holistically considered, for instance, the parameters of intermediate fluid, interconnectivity patterns between plants and the detailed configurations of multi-plant heat exchanger networks (HENs). To overcome the limitation mentioned above, this paper presents a simultaneous optimization methodology for multi-plant heat integration using intermediate fluid circles. Given an industrial zone and the data for all the hot and cold process streams in each individual plant, the better design with lower TAC including energy cost, heat exchanger cost, piping and pumping cost can be found by using this methodology. From the results of case study, in the industrial scale problem (5 plants), the cost of piping and pumping account for 12% of total cost, proving that these distance related factors cannot be ignored. Compared with literature results, this method can obtain same energy savings with lower number of heat exchangers and intermediate fluid circles.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:306-317
    DOI: 10.1016/j.energy.2016.12.116
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    Cited by:

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    4. Chang, Chenglin & Wang, Yufei & Ma, Jiaze & Chen, Xiaolu & Feng, Xiao, 2018. "An energy hub approach for direct interplant heat integration," Energy, Elsevier, vol. 159(C), pages 878-890.
    5. 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.
    6. Hür Bütün & Ivan Kantor & François Maréchal, 2019. "Incorporating Location Aspects in Process Integration Methodology," Energies, MDPI, vol. 12(17), pages 1-45, August.
    7. 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.
    8. Matthias Rathjens & Georg Fieg, 2019. "Cost-Optimal Heat Exchanger Network Synthesis Based on a Flexible Cost Functions Framework," Energies, MDPI, vol. 12(5), pages 1-18, February.
    9. Jin, Yuhui & Chang, Chuei-Tin & Li, Shaojun & Jiang, Da, 2018. "On the use of risk-based Shapley values for cost sharing in interplant heat integration programs," Applied Energy, Elsevier, vol. 211(C), pages 904-920.
    10. Song, Runrun & Chang, Chenglin & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part II: The mathematical model," Energy, Elsevier, vol. 135(C), pages 382-393.
    11. 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.
    12. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
    13. 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.
    14. Maziar Kermani & Ivan D. Kantor & Anna S. Wallerand & Julia Granacher & Adriano V. Ensinas & François Maréchal, 2019. "A Holistic Methodology for Optimizing Industrial Resource Efficiency," Energies, MDPI, vol. 12(7), pages 1-33, April.
    15. Diban, Pitchaimuthu & Foo, Dominic C.Y., 2019. "A pinch-based automated targeting technique for heating medium system," Energy, Elsevier, vol. 166(C), pages 193-212.
    16. Anton Beck & Julian Unterluggauer & Franz Helminger & Irene Solís-Gallego, 2023. "Decarbonisation Pathways for the Finishing Line in a Steel Plant and Their Implications for Heat Recovery Measures," Energies, MDPI, vol. 16(2), pages 1-21, January.
    17. 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).
    18. Liew, Peng Yen & Wan Alwi, Sharifah Rafidah & Ho, Wai Shin & Abdul Manan, Zainuddin & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2018. "Multi-period energy targeting for Total Site and Locally Integrated Energy Sectors with cascade Pinch Analysis," Energy, Elsevier, vol. 155(C), pages 370-380.

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