IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i5p339-d69467.html
   My bibliography  Save this article

Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language

Author

Listed:
  • Adriano Desideri

    (Thermodynamics laboratory, University of Liege, Campus du Sart Tilman, B-4000 Liege, Belgium)

  • Bertrand Dechesne

    (Thermodynamics laboratory, University of Liege, Campus du Sart Tilman, B-4000 Liege, Belgium)

  • Jorrit Wronski

    (IPU Engineering Consultant, DK-2800 Kongens Lyngby, Denmark)

  • Martijn Van den Broek

    (Department of Flow heat and combustion Mechanics, University of Gent, 9052 Gent, Belgium)

  • Sergei Gusev

    (Department of Flow heat and combustion Mechanics, University of Gent, 9052 Gent, Belgium)

  • Vincent Lemort

    (Thermodynamics laboratory, University of Liege, Campus du Sart Tilman, B-4000 Liege, Belgium)

  • Sylvain Quoilin

    (Thermodynamics laboratory, University of Liege, Campus du Sart Tilman, B-4000 Liege, Belgium)

Abstract

When modeling low capacity energy systems, such as a small size (5–150 kW el ) organic Rankine cycle unit, the governing dynamics are mainly concentrated in the heat exchangers. As a consequence, the accuracy and simulation speed of the higher level system model mainly depend on the heat exchanger model formulation. In particular, the modeling of thermo-flow systems characterized by evaporation or condensation requires heat exchanger models capable of handling phase transitions. To this aim, the finite volume (FV) and the moving boundary (MB) approaches are the most widely used. The two models are developed and included in the open-source ThermoCycle Modelica library. In this contribution, a comparison between the two approaches is presented. An integrity and accuracy test is designed to evaluate the performance of the FV and MB models during transient conditions. In order to analyze how the two modeling approaches perform when integrated at a system level, two organic Rankine cycle (ORC) system models are built using the FV and the MB evaporator model, and their responses are compared against experimental data collected on an 11 kW el ORC power unit. Additionally, the effect of the void fraction value in the MB evaporator model and of the number of control volumes (CVs) in the FV one is investigated. The results allow drawing general guidelines for the development of heat exchanger dynamic models involving two-phase flows.

Suggested Citation

  • Adriano Desideri & Bertrand Dechesne & Jorrit Wronski & Martijn Van den Broek & Sergei Gusev & Vincent Lemort & Sylvain Quoilin, 2016. "Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language," Energies, MDPI, vol. 9(5), pages 1-18, May.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:339-:d:69467
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/5/339/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/9/5/339/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Desideri, Adriano & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Experimental comparison of organic fluids for low temperature ORC (organic Rankine cycle) systems for waste heat recovery applications," Energy, Elsevier, vol. 97(C), pages 460-469.
    2. Sylvain Quoilin & Ian Bell & Adriano Desideri & Pierre Dewallef & Vincent Lemort, 2014. "Methods to Increase the Robustness of Finite-Volume Flow Models in Thermodynamic Systems," Energies, MDPI, vol. 7(3), pages 1-20, March.
    3. Declaye, Sébastien & Quoilin, Sylvain & Guillaume, Ludovic & Lemort, Vincent, 2013. "Experimental study on an open-drive scroll expander integrated into an ORC (Organic Rankine Cycle) system with R245fa as working fluid," Energy, Elsevier, vol. 55(C), pages 173-183.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dickes, Rémi & Dumont, Olivier & Guillaume, Ludovic & Quoilin, Sylvain & Lemort, Vincent, 2018. "Charge-sensitive modelling of organic Rankine cycle power systems for off-design performance simulation," Applied Energy, Elsevier, vol. 212(C), pages 1262-1281.
    2. Roberto Pili & Hartmut Spliethoff & Christoph Wieland, 2017. "Dynamic Simulation of an Organic Rankine Cycle—Detailed Model of a Kettle Boiler," Energies, MDPI, vol. 10(4), pages 1-28, April.
    3. Pili, Roberto & Romagnoli, Alessandro & Jiménez-Arreola, Manuel & Spliethoff, Hartmut & Wieland, Christoph, 2019. "Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance," Energy, Elsevier, vol. 167(C), pages 619-640.
    4. Pili, Roberto & Bojer Jørgensen, Søren & Haglind, Fredrik, 2022. "Multi-objective optimization of organic Rankine cycle systems considering their dynamic performance," Energy, Elsevier, vol. 246(C).
    5. Michael Chukwuemeka Ekwonu & Mirae Kim & Binqi Chen & Muhammad Tauseef Nasir & Kyung Chun Kim, 2023. "Dynamic Simulation of Partial Load Operation of an Organic Rankine Cycle with Two Parallel Expanders," Energies, MDPI, vol. 16(1), pages 1-18, January.
    6. Vaupel, Yannic & Huster, Wolfgang R. & Holtorf, Flemming & Mhamdi, Adel & Mitsos, Alexander, 2019. "Analysis and improvement of dynamic heat exchanger models for nominal and start-up operation," Energy, Elsevier, vol. 169(C), pages 1191-1201.
    7. Desideri, Adriano & Hernandez, Andres & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Steady-state and dynamic validation of a small-scale waste heat recovery system using the ThermoCycle Modelica library," Energy, Elsevier, vol. 115(P1), pages 684-696.
    8. Valeria Palomba & Efstratios Varvagiannis & Sotirios Karellas & Andrea Frazzica, 2019. "Hybrid Adsorption-Compression Systems for Air Conditioning in Efficient Buildings: Design through Validated Dynamic Models," Energies, MDPI, vol. 12(6), pages 1-28, March.
    9. Palagi, Laura & Pesyridis, Apostolos & Sciubba, Enrico & Tocci, Lorenzo, 2019. "Machine Learning for the prediction of the dynamic behavior of a small scale ORC system," Energy, Elsevier, vol. 166(C), pages 72-82.
    10. Majumdar, Rudrodip & Saha, Sandip K. & Singh, Suneet, 2018. "Evaluation of transient characteristics of medium temperature solar thermal systems utilizing thermal stratification," Applied Energy, Elsevier, vol. 224(C), pages 69-85.
    11. Lorenzo Damiani & Roberto Revetria & Pietro Giribone, 2022. "A Dynamic Simulation Model for a Heat Exchanger Malfunction Monitoring," Energies, MDPI, vol. 15(5), pages 1-20, March.
    12. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    13. Andres Hernandez & Adriano Desideri & Clara Ionescu & Robin De Keyser & Vincent Lemort & Sylvain Quoilin, 2016. "Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control," Energies, MDPI, vol. 9(5), pages 1-18, May.
    14. Xu, Bin & Rathod, Dhruvang & Yebi, Adamu & Filipi, Zoran, 2020. "Real-time realization of Dynamic Programming using machine learning methods for IC engine waste heat recovery system power optimization," Applied Energy, Elsevier, vol. 262(C).
    15. Lorenzo Tocci & Tamas Pal & Ioannis Pesmazoglou & Benjamin Franchetti, 2017. "Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review," Energies, MDPI, vol. 10(4), pages 1-26, March.
    16. Li, Deming & Fan, Chengcheng & Zhang, Chengbin & Chen, Yongping, 2022. "Control strategy of load following for ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 193(C), pages 595-607.
    17. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Desideri, Adriano & Hernandez, Andres & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Steady-state and dynamic validation of a small-scale waste heat recovery system using the ThermoCycle Modelica library," Energy, Elsevier, vol. 115(P1), pages 684-696.
    2. Wang, Zhiqi & Zhao, Yabin & Xia, Xiaoxia & Pan, Huihui & Zhang, Sifeng & Liu, Zhipeng, 2023. "Experimental evaluation of organic Rankine cycle using zeotropic mixture under different operation conditions," Energy, Elsevier, vol. 264(C).
    3. Ziviani, D. & Gusev, S. & Lecompte, S. & Groll, E.A. & Braun, J.E. & Horton, W.T. & van den Broek, M. & De Paepe, M., 2017. "Optimizing the performance of small-scale organic Rankine cycle that utilizes a single-screw expander," Applied Energy, Elsevier, vol. 189(C), pages 416-432.
    4. Giuffrida, Antonio, 2017. "Improving the semi-empirical modelling of a single-screw expander for small organic Rankine cycles," Applied Energy, Elsevier, vol. 193(C), pages 356-368.
    5. Feng, Yong-qiang & Hung, Tzu-Chen & Su, Ting-Ying & Wang, Shuang & Wang, Qian & Yang, Shih-Cheng & Lin, Jaw-Ren & Lin, Chih-Hung, 2017. "Experimental investigation of a R245fa-based organic Rankine cycle adapting two operation strategies: Stand alone and grid connect," Energy, Elsevier, vol. 141(C), pages 1239-1253.
    6. Liu, Chao & Wang, Shukun & Zhang, Cheng & Li, Qibin & Xu, Xiaoxiao & Huo, Erguang, 2019. "Experimental study of micro-scale organic Rankine cycle system based on scroll expander," Energy, Elsevier, vol. 188(C).
    7. Li, Jing & Gao, Guangtao & Li, Pengcheng & Pei, Gang & Huang, Hulin & Su, Yuehong & Ji, Jie, 2018. "Experimental study of organic Rankine cycle in the presence of non-condensable gases," Energy, Elsevier, vol. 142(C), pages 739-753.
    8. Zhang, Hong-Hu & Xi, Huan & He, Ya-Ling & Zhang, Yu-Wen & Ning, Bo, 2019. "Experimental study of the organic rankine cycle under different heat and cooling conditions," Energy, Elsevier, vol. 180(C), pages 678-688.
    9. Cai, Jinwen & Tian, Hua & Wang, Xuan & Wang, Rui & Shu, Gequn & Wang, Mingtao, 2021. "A calibrated organic Rankine cycle dynamic model applying to subcritical system and transcritical system," Energy, Elsevier, vol. 237(C).
    10. Landelle, Arnaud & Tauveron, Nicolas & Haberschill, Philippe & Revellin, Rémi & Colasson, Stéphane, 2017. "Organic Rankine cycle design and performance comparison based on experimental database," Applied Energy, Elsevier, vol. 204(C), pages 1172-1187.
    11. Bamorovat Abadi, Gholamreza & Kim, Kyung Chun, 2017. "Investigation of organic Rankine cycles with zeotropic mixtures as a working fluid: Advantages and issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1000-1013.
    12. Christoph J.W. Kirmse & Oyeniyi A. Oyewunmi & Andrew J. Haslam & Christos N. Markides, 2016. "Comparison of a Novel Organic-Fluid Thermofluidic Heat Converter and an Organic Rankine Cycle Heat Engine," Energies, MDPI, vol. 9(7), pages 1-26, June.
    13. Roberto Pili & Hartmut Spliethoff & Christoph Wieland, 2017. "Dynamic Simulation of an Organic Rankine Cycle—Detailed Model of a Kettle Boiler," Energies, MDPI, vol. 10(4), pages 1-28, April.
    14. Pili, Roberto & Romagnoli, Alessandro & Jiménez-Arreola, Manuel & Spliethoff, Hartmut & Wieland, Christoph, 2019. "Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance," Energy, Elsevier, vol. 167(C), pages 619-640.
    15. Yang, Min-Hsiung & Yeh, Rong-Hua, 2015. "Thermo-economic optimization of an organic Rankine cycle system for large marine diesel engine waste heat recovery," Energy, Elsevier, vol. 82(C), pages 256-268.
    16. Moradi, Ramin & Habib, Emanuele & Bocci, Enrico & Cioccolanti, Luca, 2020. "Investigation on the use of a novel regenerative flow turbine in a micro-scale Organic Rankine Cycle unit," Energy, Elsevier, vol. 210(C).
    17. Yamada, Noboru & Tominaga, Yoshihito & Yoshida, Takanori, 2014. "Demonstration of 10-Wp micro organic Rankine cycle generator for low-grade heat recovery," Energy, Elsevier, vol. 78(C), pages 806-813.
    18. Kai Yang & Hongguang Zhang & Songsong Song & Jian Zhang & Yuting Wu & Yeqiang Zhang & Hongjin Wang & Ying Chang & Chen Bei, 2014. "Performance Analysis of the Vehicle Diesel Engine-ORC Combined System Based on a Screw Expander," Energies, MDPI, vol. 7(5), pages 1-20, May.
    19. Jung-Bo Sim & Se-Jin Yook & Young Won Kim, 2022. "Performance Analysis of Organic Rankine Cycle with the Turbine Embedded in a Generator (TEG)," Energies, MDPI, vol. 15(1), pages 1-18, January.
    20. Campana, Claudio & Cioccolanti, Luca & Renzi, Massimiliano & Caresana, Flavio, 2019. "Experimental analysis of a small-scale scroll expander for low-temperature waste heat recovery in Organic Rankine Cycle," Energy, Elsevier, vol. 187(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:339-:d:69467. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.