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Optimization of volume-limited thermal energy storage in non-continuous processes

Author

Listed:
  • Stampfli, Jan A.
  • Lucas, Edward J.
  • Ong, Benjamin H.Y.
  • Olsen, Donald G.
  • Krummenacher, Pierre
  • Wellig, Beat

Abstract

Due to the nature of non-continuous processes, heat recovery through direct heat integration is limited. Thermal energy storage (TES) is usually employed for indirect heat transfer, provided excess heat sources and sinks are available. Such processes may have brief peaks in energy demand, necessitating large TES. However, practical space constraints often limit maximal storage volumes, restricting the potential for heat recovery. This paper aims to develop a linear programming optimization model to determine the storage integration solutions which maximize heat recovery per batch for volume-limited sensible stratified storage. Indirect source and sink profiles are used to determine maximum process heat recovery and subsequently the initial TES capacity. The results produce a process-specific capacity limitation chart of batch-wise maximal heat recovery, allowing generation of optimal storage loading and unloading profiles. The optimization model was applied to two case studies. The resulting capacity limitation chart shows that a stratified storage, with a volume of total 96m3 is needed to achieve 100% of the trageted direct and indirect heat recovery. Approximately 60% heat recovery can already be achieved by using only a 4m3 storage. The model is extended to a fixed temperature variable mass storage with multiple VSUs.

Suggested Citation

  • Stampfli, Jan A. & Lucas, Edward J. & Ong, Benjamin H.Y. & Olsen, Donald G. & Krummenacher, Pierre & Wellig, Beat, 2020. "Optimization of volume-limited thermal energy storage in non-continuous processes," Energy, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:energy:v:203:y:2020:i:c:s0360544220309129
    DOI: 10.1016/j.energy.2020.117805
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    References listed on IDEAS

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    1. Abdelouadoud, Yasmina & Lucas, Edward & Krummenacher, Pierre & Olsen, Donald & Wellig, Beat, 2019. "Batch process heat storage integration: A simple and effective graphical approach," Energy, Elsevier, vol. 185(C), pages 804-818.
    2. William E. Hart & Carl Laird & Jean-Paul Watson & David L. Woodruff, 2012. "Pyomo – Optimization Modeling in Python," Springer Optimization and Its Applications, Springer, edition 127, number 978-1-4614-3226-5, August.
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    Cited by:

    1. Seferlis, Panos & Varbanov, Petar Sabev & Papadopoulos, Athanasios I. & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2021. "Sustainable design, integration, and operation for energy high-performance process systems," Energy, Elsevier, vol. 224(C).

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