IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v157y2018icp1090-1101.html
   My bibliography  Save this article

Batch evaporation power cycle: Influence of thermal inertia and residence time

Author

Listed:
  • Gleinser, Moritz
  • Wieland, Christoph
  • Spliethoff, Hartmut

Abstract

The transition in the energy market and the growing share of renewable energy sources have been boosting the research in new power cycles. For example, the concept of batch evaporation in the Misselhorn Cycle promises to increase the overall efficiency in low-temperature applications and therefore saves resources. In this paper, a dynamic evaporator model was extended in order to prove the feasibility of the Misselhorn Cycle despite its transient character. In this context, the thermal capacity of the wall material as well as the residence time of the heat source medium were added. The previous, underlying model predicted an improved system efficiency for the Misselhorn Cycle of about 50% compared to an Organic Rankine Cycle (ORC) at 100C∘. Initially, the results of the extended model showed a negative influence of the inertial effects on the possible net power output (advantage over ORC only 10%). However, an unheated discharge phase and reduced dimensions of the heat exchanger could compensate these drawbacks and achieved results (about 40% better than ORC) in the same range as the previous, simple model predicted. These findings prove the general practical feasibility of the Misselhorn Cycle.

Suggested Citation

  • Gleinser, Moritz & Wieland, Christoph & Spliethoff, Hartmut, 2018. "Batch evaporation power cycle: Influence of thermal inertia and residence time," Energy, Elsevier, vol. 157(C), pages 1090-1101.
  • Handle: RePEc:eee:energy:v:157:y:2018:i:c:p:1090-1101
    DOI: 10.1016/j.energy.2018.05.145
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218309794
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2018.05.145?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mazzi, N. & Rech, S. & Lazzaretto, A., 2015. "Off-design dynamic model of a real Organic Rankine Cycle system fuelled by exhaust gases from industrial processes," Energy, Elsevier, vol. 90(P1), pages 537-551.
    2. Yousefzadeh, Moslem & Uzgoren, Eray, 2015. "Mass-conserving dynamic organic Rankine cycle model to investigate the link between mass distribution and system state," Energy, Elsevier, vol. 93(P1), pages 1128-1139.
    3. Quoilin, Sylvain & Aumann, Richard & Grill, Andreas & Schuster, Andreas & Lemort, Vincent & Spliethoff, Hartmut, 2011. "Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles," Applied Energy, Elsevier, vol. 88(6), pages 2183-2190, June.
    4. Lo Brano, Valerio & Ciulla, Giuseppina & Piacentino, Antonio & Cardona, Fabio, 2014. "Finite difference thermal model of a latent heat storage system coupled with a photovoltaic device: Description and experimental validation," Renewable Energy, Elsevier, vol. 68(C), pages 181-193.
    5. 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.
    6. 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.
    7. Moritz Gleinser & Christoph Wieland, 2016. "The Misselhorn Cycle: Batch-Evaporation Process for Efficient Low-Temperature Waste Heat Recovery," Energies, MDPI, vol. 9(5), pages 1-13, May.
    8. Yari, M. & Mehr, A.S. & Zare, V. & Mahmoudi, S.M.S. & Rosen, M.A., 2015. "Exergoeconomic comparison of TLC (trilateral Rankine cycle), ORC (organic Rankine cycle) and Kalina cycle using a low grade heat source," Energy, Elsevier, vol. 83(C), pages 712-722.
    9. Fischer, Johann, 2011. "Comparison of trilateral cycles and organic Rankine cycles," Energy, Elsevier, vol. 36(10), pages 6208-6219.
    10. Orlandini, Valentina & Pierobon, Leonardo & Schløer, Signe & De Pascale, Andrea & Haglind, Fredrik, 2016. "Dynamic performance of a novel offshore power system integrated with a wind farm," Energy, Elsevier, vol. 109(C), pages 236-247.
    11. Steffen, Michael & Löffler, Michael & Schaber, Karlheinz, 2013. "Efficiency of a new Triangle Cycle with flash evaporation in a piston engine," Energy, Elsevier, vol. 57(C), pages 295-307.
    12. Feru, Emanuel & de Jager, Bram & Willems, Frank & Steinbuch, Maarten, 2014. "Two-phase plate-fin heat exchanger modeling for waste heat recovery systems in diesel engines," Applied Energy, Elsevier, vol. 133(C), pages 183-196.
    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. Zhang, Xuefeng & Wang, Liwei & Wang, Zixuan & Wang, Lemin & Zhang, Zihan, 2022. "Non-steady thermodynamic characteristics of a pilot-scale organic Rankine cycle system with a thermally-driven pump," Energy, Elsevier, vol. 252(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. 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.
    2. 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).
    3. Wang, Xuan & Shu, Gequn & Tian, Hua & Liu, Peng & Jing, Dongzhan & Li, Xiaoya, 2018. "The effects of design parameters on the dynamic behavior of organic ranking cycle for the engine waste heat recovery," Energy, Elsevier, vol. 147(C), pages 440-450.
    4. Rijpkema, J. & Munch, K. & Andersson, S.B., 2018. "Thermodynamic potential of twelve working fluids in Rankine and flash cycles for waste heat recovery in heavy duty diesel engines," Energy, Elsevier, vol. 160(C), pages 996-1007.
    5. Cheng, Ziyang & Wang, Jiangfeng & Yang, Peijun & Wang, Yaxiong & Chen, Gang & Zhao, Pan & Dai, Yiping, 2022. "Comparison of control strategies and dynamic behaviour analysis of a Kalina cycle driven by a low-grade heat source," Energy, Elsevier, vol. 242(C).
    6. Xuan Wang & Hua Tian & Gequn Shu, 2016. "Part-Load Performance Prediction and Operation Strategy Design of Organic Rankine Cycles with a Medium Cycle Used for Recovering Waste Heat from Gaseous Fuel Engines," Energies, MDPI, vol. 9(7), pages 1-21, July.
    7. Marchionni, Matteo & Bianchi, Giuseppe & Karvountzis-Kontakiotis, Apostolos & Pesyridis, Apostolos & Tassou, Savvas A., 2018. "An appraisal of proportional integral control strategies for small scale waste heat to power conversion units based on Organic Rankine Cycles," Energy, Elsevier, vol. 163(C), pages 1062-1076.
    8. 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).
    9. Xu, Bin & Rathod, Dhruvang & Kulkarni, Shreyas & Yebi, Adamu & Filipi, Zoran & Onori, Simona & Hoffman, Mark, 2017. "Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications," Applied Energy, Elsevier, vol. 205(C), pages 260-279.
    10. Löffler, Michael, 2017. "Batch Processes in Heat Engines," Energy, Elsevier, vol. 125(C), pages 788-794.
    11. Cai, Jinwen & Shu, Gequn & Tian, Hua & Wang, Xuan & Wang, Rui & Shi, Xiaolei, 2020. "Validation and analysis of organic Rankine cycle dynamic model using zeotropic mixture," Energy, Elsevier, vol. 197(C).
    12. 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.
    13. Jiménez-Arreola, Manuel & Pili, Roberto & Wieland, Christoph & Romagnoli, Alessandro, 2018. "Analysis and comparison of dynamic behavior of heat exchangers for direct evaporation in ORC waste heat recovery applications from fluctuating sources," Applied Energy, Elsevier, vol. 216(C), pages 724-740.
    14. Ge, Zhong & Wang, Hua & Wang, Hui-Tao & Wang, Jian-Jun & Li, Ming & Wu, Fu-Zhong & Zhang, Song-Yuan, 2015. "Main parameters optimization of regenerative organic Rankine cycle driven by low-temperature flue gas waste heat," Energy, Elsevier, vol. 93(P2), pages 1886-1895.
    15. 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.
    16. Lecompte, S. & Huisseune, H. & van den Broek, M. & De Paepe, M., 2015. "Methodical thermodynamic analysis and regression models of organic Rankine cycle architectures for waste heat recovery," Energy, Elsevier, vol. 87(C), pages 60-76.
    17. Mehr, A.S. & MosayebNezhad, M. & Lanzini, A. & Yari, M. & Mahmoudi, S.M.S. & Santarelli, M., 2018. "Thermodynamic assessment of a novel SOFC based CCHP system in a wastewater treatment plant," Energy, Elsevier, vol. 150(C), pages 299-309.
    18. Woodland, Brandon J. & Ziviani, Davide & Braun, James E. & Groll, Eckhard A., 2020. "Considerations on alternative organic Rankine Cycle congurations for low-grade waste heat recovery," Energy, Elsevier, vol. 193(C).
    19. Ying Zhang & Li Zhao & Shuai Deng & Ming Li & Yali Liu & Qiongfen Yu & Mengxing Li, 2022. "Novel Off-Design Operation Maps Showing Functionality Limitations of Organic Rankine Cycle Validated by Experiments," Energies, MDPI, vol. 15(21), pages 1-19, November.
    20. Shu, Gequn & Wang, Rui & Tian, Hua & Wang, Xuan & Li, Xiaoya & Cai, Jinwen & Xu, Zhiqiang, 2020. "Dynamic performance of the transcritical power cycle using CO2-based binary zeotropic mixtures for truck engine waste heat recovery," Energy, Elsevier, vol. 194(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:eee:energy:v:157:y:2018:i:c:p:1090-1101. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.