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A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale

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  • Zhang, B.J.
  • Liu, K.
  • Luo, X.L.
  • Chen, Q.L.
  • Li, W.K.

Abstract

A process system is designed for material transformations that produce certain functional chemicals while usually consuming large amounts of energy. Materials in process systems have long been the major focus of investigation to achieve better economic performance. Rising energy prices and stricter limitations on greenhouse gas emissions have also led to greater attention on energy savings. The configuration of process units in a total refining site has a great impact on both material and energy requirements. The simultaneous optimization of materials and energy is highly important for an enterprise. Hence, material and energy integration is proposed in this study for a total refining site to minimize costs. A mixed integer nonlinear programming model is developed that includes four parts: production planning for materials, energy requirements of process units on the basis of pinch analysis, operational planning for utility systems, and balance of utility streams in total sites. An industrial example is studied to demonstrate the performance of the proposed model and the advantages of simultaneous optimization of materials and energy. Significant economic benefits are demonstrated by the simultaneous optimization in this study.

Suggested Citation

  • Zhang, B.J. & Liu, K. & Luo, X.L. & Chen, Q.L. & Li, W.K., 2015. "A multi-period mathematical model for simultaneous optimization of materials and energy on the refining site scale," Applied Energy, Elsevier, vol. 143(C), pages 238-250.
    • Handle: RePEc:eee:appene:v:143:y:2015:i:c:p:238-250
    DOI: 10.1016/j.apenergy.2015.01.044
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    2. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    3. Kermani, Maziar & Wallerand, Anna S. & Kantor, Ivan D. & Maréchal, François, 2018. "Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes," Applied Energy, Elsevier, vol. 212(C), pages 1203-1225.
    4. Luo, Xianglong & Huang, Xiaojian & El-Halwagi, Mahmoud M. & Ponce-Ortega, José María & Chen, Ying, 2016. "Simultaneous synthesis of utility system and heat exchanger network incorporating steam condensate and boiler feedwater," Energy, Elsevier, vol. 113(C), pages 875-893.
    5. Luo, Xianglong & Wei, Youxing & Qiu, Guanfu & Liang, Yingzong & Chen, Jianyong & Yang, Zhi & Wang, Chao & Chen, Ying, 2020. "Simultaneous design and off-design operation optimization of a waste heat-driven organic Rankine cycle using a multi-period mathematical programming method," Energy, Elsevier, vol. 213(C).
    6. Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abd, 2016. "Simultaneous energy targeting, placement of utilities with flue gas, and design of heat recovery networks," Applied Energy, Elsevier, vol. 161(C), pages 605-610.
    7. Zhang, B.J. & Li, J. & Zhang, Z.L. & Wang, K. & Chen, Q.L., 2016. "Simultaneous design of heat exchanger network for heat integration using hot direct discharges/feeds between process plants," Energy, Elsevier, vol. 109(C), pages 400-411.
    8. Dara, Satyadileep & Abdulqader, Haytham & Al Wahedi, Yasser & Berrouk, Abdallah S., 2020. "Countrywide optimization of natural gas supply chain: From wells to consumers," Energy, Elsevier, vol. 196(C).
    9. Xu, Tiantian & Long, Jian & Zhao, Liang & Du, Wenli, 2024. "Material and energy coupling systems optimization for large-scale industrial refinery with sustainable energy penetration under multiple uncertainties using two-stage stochastic programming," Applied Energy, Elsevier, vol. 371(C).

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