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Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies

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  • Zulkafli, Nur I.
  • Kopanos, Georgios M.

Abstract

A general optimization framework for the simultaneous operational planning of utility and production systems is presented with the main purpose of reducing the energy needs and material resources utilization of the overall system. The proposed mathematical model focuses mainly on the utility system and considers for the utility units: (i) unit commitment constraints, (ii) performance degradation and recovery, (iii) different types of cleaning tasks (online or offline, and fixed or flexible time-window), (iv) alternative options for cleaning tasks in terms of associated durations, cleaning resources requirements and costs, and (v) constrained availability of resources for cleaning operations. The optimization function includes the operating costs for utility and production systems, cleaning costs for utility systems, and energy consumption costs. Several case studies are presented in order to highlight the applicability and the significant benefits of the proposed approach. In particular, in comparison with the traditional sequential planning approach for production and utility systems, the proposed integrated approach can achieve considerable reductions in startup/shutdown and cleaning costs, and most importantly in utilities purchases, as it is shown in one of the case studies.

Suggested Citation

  • Zulkafli, Nur I. & Kopanos, Georgios M., 2016. "Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies," Applied Energy, Elsevier, vol. 183(C), pages 577-602.
    • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:577-602
    DOI: 10.1016/j.apenergy.2016.08.060
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    References listed on IDEAS

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    Cited by:

    1. Leenders, Ludger & Bahl, Björn & Hennen, Maike & Bardow, André, 2019. "Coordinating scheduling of production and utility system using a Stackelberg game," Energy, Elsevier, vol. 175(C), pages 1283-1295.
    2. Zagorowska, Marta & Schulze Spüntrup, Frederik & Ditlefsen, Arne-Marius & Imsland, Lars & Lunde, Erling & Thornhill, Nina F., 2020. "Adaptive detection and prediction of performance degradation in off-shore turbomachinery," Applied Energy, Elsevier, vol. 268(C).
    3. Kiki Ayu & Akilu Yunusa-Kaltungo, 2020. "A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems," Energies, MDPI, vol. 13(8), pages 1-32, April.
    4. Pérez-Uresti, Salvador I. & Martín, Mariano & Jiménez-Gutiérrez, Arturo, 2019. "Estimation of renewable-based steam costs," Applied Energy, Elsevier, vol. 250(C), pages 1120-1131.

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