Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges

Muhammad Imran*, Roberto Pili, Muhammad Usman, Fredrik Haglind

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Organic Rankine cycle systems are suitable technologies for utilization of low/medium-temperature heat sources, especially for small-scale systems. Waste heat from engines in the transportation sector, solar energy, and intermittent industrial waste heat are by nature transient heat sources, making it a challenging task to design and operate the organic Rankine cycle system safely and efficiently for these heat sources. Therefore, it is of crucial importance to investigate the dynamic behavior of the organic Rankine cycle system and develop suitable control strategies. This paper provides a comprehensive review of the previous studies in the area of dynamic modeling and control of the organic Rankine cycle system. The most common dynamic modeling approaches, typical issues during dynamic simulations, and different control strategies are discussed in detail. The most suitable dynamic modeling approaches of each component, solutions to common problems, and optimal control approaches are identified. Directions for future research are provided. The review indicates that the dynamics of the organic Rankine cycle system is mainly governed by the heat exchangers. Depending on the level of accuracy and computational effort, a moving boundary approach, a finite volume method or a two-volume simplification can be used for the modeling of the heat exchangers. From the control perspective, the model predictive controllers, especially improved model predictive controllers (e.g. the multiple model predictive control, switching model predictive control, and non-linear model predictive control approach), provide excellent control performance compared to conventional control strategies (e.g. proportional–integral controller, proportional–derivative controller, and proportional–integral–derivative controllers). We recommend that future research focuses on the integrated design and optimization, especially considering the design of the heat exchangers, the dynamic response of the system and its controllability.
    Original languageEnglish
    Article number115537
    JournalApplied Energy
    Volume276
    Number of pages28
    ISSN0306-2619
    DOIs
    Publication statusPublished - 2020

    Bibliographical note

    This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

    Keywords

    • Organic Rankine cycle
    • Control
    • Dynamic modeling
    • PID
    • Model predictive control
    • Optimized control
    • Non-linear control
    • Finite volume and moving boundary
    • Robust control

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