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Optimum heat storage design for heat integrated multipurpose batch plants

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  • Stamp, Jane
  • Majozi, Thokozani

Abstract

Heat integration to minimise energy usage in multipurpose batch plants has been in published literature for more than two decades. In most present methods, time is fixed a priori through a known schedule, which leads to suboptimal results. The method presented in this paper treats time as a variable, thereby leading to improved results. Both direct and indirect heat integration are considered together with optimisation of heat storage size and initial temperature of heat storage medium. The resulting model exhibits MINLP structure, which implies that global optimality cannot generally be guaranteed. However, a procedure is presented that seeks to find a globally optimal solution, even for nonlinear problems. Heat losses from the heat storage vessel during idling are also considered. This work is an extension of MILP model of Majozi (2009), which was more suited to multiproduct rather than multipurpose batch facilities. Optimising the size of the heat storage vessel as well as the initial temperature of the heat storage fluid decreased the requirement for external hot utility for an industrial case study by 33% compared to using known parameters.

Suggested Citation

  • Stamp, Jane & Majozi, Thokozani, 2011. "Optimum heat storage design for heat integrated multipurpose batch plants," Energy, Elsevier, vol. 36(8), pages 5119-5131.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:5119-5131
    DOI: 10.1016/j.energy.2011.06.009
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    References listed on IDEAS

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    Cited by:

    1. Seid, Esmael R. & Majozi, Thokozani, 2014. "Heat integration in multipurpose batch plants using a robust scheduling framework," Energy, Elsevier, vol. 71(C), pages 302-320.
    2. Magege, Simbarashe R. & Majozi, Thokozani, 2021. "A comprehensive framework for synthesis and design of heat-integrated batch plants: Consideration of intermittently-available streams," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Mokhtar, Maizura & Burns, Stephen & Ross, Dave & Hunt, Ian, 2017. "Exploring multi-objective trade-offs in the design space of a waste heat recovery system," Applied Energy, Elsevier, vol. 195(C), pages 114-124.
    4. Fernández, Inmaculada & Renedo, Carlos J. & Pérez, Severiano F. & Ortiz, Alfredo & Mañana, Mario, 2012. "A review: Energy recovery in batch processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2260-2277.
    5. Pantaleo, Antonio M. & Fordham, Julia & Oyewunmi, Oyeniyi A. & De Palma, Pietro & Markides, Christos N., 2018. "Integrating cogeneration and intermittent waste-heat recovery in food processing: Microturbines vs. ORC systems in the coffee roasting industry," Applied Energy, Elsevier, vol. 225(C), pages 782-796.

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