IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i8p614-d75324.html
   My bibliography  Save this article

Comparison of Organic Rankine Cycle Systems under Varying Conditions Using Turbine and Twin-Screw Expanders

Author

Listed:
  • Matthew Read

    (Department of Mechanical Engineering, City University London, London EC1V 0HB, UK)

  • Ian Smith

    (Department of Mechanical Engineering, City University London, London EC1V 0HB, UK)

  • Nikola Stosic

    (Department of Mechanical Engineering, City University London, London EC1V 0HB, UK)

  • Ahmed Kovacevic

    (Department of Mechanical Engineering, City University London, London EC1V 0HB, UK)

Abstract

A multi-variable optimization program has been developed to investigate the performance of Organic Rankine Cycles (ORCs) for low temperature heat recovery applications using both turbine and twin-screw expanders when account is taken of performance variation due to changes in ambient conditions. The cycle simulation contains thermodynamic models of both types of expander. In the case of the twin-screw machine, the methods used to match the operation of the expander to the requirements of the cycle are described. The performance of turbine expanders in a superheated ORC has been modelled using correlations derived from operational data for single stage reaction turbines to predict the turbine efficiency at “off-design” conditions. Several turbine configurations have been considered including variable nozzle area and variable speed. The capability of the cycle model has been demonstrated for the case of heat recovery from a steady source of pressurized hot water at 120 °C. The system parameters are optimised for a typical operating condition, which determines the required size of heat exchangers and the expander characteristics. Performance at off-design conditions can then be optimized within these constraints. This allows a rigorous investigation of the effect of air temperature variation on the system performance, and the seasonal variation in net power output for the turbine and twin-screw ORC systems. A case study is presented for a low temperature heat recovery application with system electrical power output of around 100 kWe at design conditions. The results indicate that similar overall performance can be achieved for ORC systems using either type of expander.

Suggested Citation

  • Matthew Read & Ian Smith & Nikola Stosic & Ahmed Kovacevic, 2016. "Comparison of Organic Rankine Cycle Systems under Varying Conditions Using Turbine and Twin-Screw Expanders," Energies, MDPI, vol. 9(8), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:614-:d:75324
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/8/614/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/9/8/614/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kang, Seok Hun, 2012. "Design and experimental study of ORC (organic Rankine cycle) and radial turbine using R245fa working fluid," Energy, Elsevier, vol. 41(1), pages 514-524.
    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. Semmari, Hamza & Bouaicha, Foued & Aberkane, Sofiane & Filali, Abdelkader & Blessent, Daniela & Badache, Messaoud, 2024. "Geological context and thermo-economic study of an indirect heat ORC geothermal power plant for the northeast region of Algeria," Energy, Elsevier, vol. 290(C).
    2. Peter Collings & Zhibin Yu, 2017. "Numerical Analysis of an Organic Rankine Cycle with Adjustable Working Fluid Composition, a Volumetric Expander and a Recuperator," Energies, MDPI, vol. 10(4), pages 1-21, March.
    3. Amin Mahmoudzadeh Andwari & Apostolos Pesyridis & Vahid Esfahanian & Ali Salavati-Zadeh & Alireza Hajialimohammadi, 2019. "Modelling and Evaluation of Waste Heat Recovery Systems in the Case of a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 12(7), pages 1-26, April.
    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. Amin Mahmoudzadeh Andwari & Apostolos Pesiridis & Vahid Esfahanian & Ali Salavati-Zadeh & Apostolos Karvountzis-Kontakiotis & Vishal Muralidharan, 2017. "A Comparative Study of the Effect of Turbocompounding and ORC Waste Heat Recovery Systems on the Performance of a Turbocharged Heavy-Duty Diesel Engine," Energies, MDPI, vol. 10(8), pages 1-17, July.
    6. Kisorthman Vimalakanthan & Matthew Read & Ahmed Kovacevic, 2020. "Numerical Modelling and Experimental Validation of Twin-Screw Expanders," Energies, MDPI, vol. 13(18), pages 1-13, September.
    7. Chatzopoulou, Maria Anna & Lecompte, Steven & Paepe, Michel De & Markides, Christos N., 2019. "Off-design optimisation of organic Rankine cycle (ORC) engines with different heat exchangers and volumetric expanders in waste heat recovery applications," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    8. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Wang, Yan & Lei, Biao & Wu, Yuting, 2022. "Performance limits of the single screw expander in organic Rankine cycle with ensemble learning and hyperdimensional evolutionary many-objective optimization algorithm intervention," Energy, Elsevier, vol. 245(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. Li, Guoqiang & Lei, Biao & Wu, Yuting & Zhi, Ruiping & Zhao, Yingkun & Guo, Zhiyu & Liu, Guangyu & Ma, Chongfang, 2018. "Influence of inlet pressure and rotational speed on the performance of high pressure single screw expander prototype," Energy, Elsevier, vol. 147(C), pages 279-285.
    2. Dong, Hye-Won & Jeong, Jae-Weon, 2020. "Energy benefits of organic Rankine cycle in a liquid desiccant and evaporative cooling-assisted air conditioning system," Renewable Energy, Elsevier, vol. 147(P1), pages 2358-2373.
    3. Jung-Bo Sim & Se-Jin Yook & Young Won Kim, 2023. "Development of 180 kW Organic Rankine Cycle (ORC) with a High-Efficiency Two-Stage Axial Turbine," Energies, MDPI, vol. 16(20), pages 1-20, October.
    4. Al-Mousawi, Fadhel Noraldeen & Al-Dadah, Raya & Mahmoud, Saad, 2016. "Low grade heat driven adsorption system for cooling and power generation with small-scale radial inflow turbine," Applied Energy, Elsevier, vol. 183(C), pages 1302-1316.
    5. Al Jubori, Ayad M. & Al-Dadah, Raya & Mahmoud, Saad, 2017. "Performance enhancement of a small-scale organic Rankine cycle radial-inflow turbine through multi-objective optimization algorithm," Energy, Elsevier, vol. 131(C), pages 297-311.
    6. Klonowicz, Piotr & Heberle, Florian & Preißinger, Markus & Brüggemann, Dieter, 2014. "Significance of loss correlations in performance prediction of small scale, highly loaded turbine stages working in Organic Rankine Cycles," Energy, Elsevier, vol. 72(C), pages 322-330.
    7. Witanowski, Ł. & Klonowicz, P. & Lampart, P. & Suchocki, T. & Jędrzejewski, Ł. & Zaniewski, D. & Klimaszewski, P., 2020. "Optimization of an axial turbine for a small scale ORC waste heat recovery system," Energy, Elsevier, vol. 205(C).
    8. Tian, Yaming & Zhang, Hongguang & Li, Jian & Hou, Xiaochen & Zhao, Tenglong & Yang, Fubin & Xu, Yonghong & Wang, Xin, 2018. "Development and validation of a single-piston free piston expander-linear generator for a small-scale organic Rankine cycle," Energy, Elsevier, vol. 161(C), pages 809-820.
    9. Angelo La Seta & Andrea Meroni & Jesper Graa Andreasen & Leonardo Pierobon & Giacomo Persico & Fredrik Haglind, 2016. "Combined Turbine and Cycle Optimization for Organic Rankine Cycle Power Systems—Part B: Application on a Case Study," Energies, MDPI, vol. 9(6), pages 1-17, May.
    10. Sorn, Kimsan & Deethayat, Thoranis & Asanakham, Attakorn & Vorayos, Nat & Kiatsiriroat, Tanongkiat, 2020. "Subcooling effect in steam heat source on irreversibility reduction during supplying heat to an organic Rankine cycle having a solar-assisted biomass boiler," Energy, Elsevier, vol. 194(C).
    11. Wang, Dabiao & Ma, Yuezheng & Tian, Ran & Duan, Jie & Hu, Busong & Shi, Lin, 2018. "Thermodynamic evaluation of an ORC system with a Low Pressure Saturated Steam heat source," Energy, Elsevier, vol. 149(C), pages 375-385.
    12. Sung, Taehong & Yun, Eunkoo & Kim, Hyun Dong & Yoon, Sang Youl & Choi, Bum Seog & Kim, Kuisoon & Kim, Jangmok & Jung, Yang Beom & Kim, Kyung Chun, 2016. "Performance characteristics of a 200-kW organic Rankine cycle system in a steel processing plant," Applied Energy, Elsevier, vol. 183(C), pages 623-635.
    13. Calise, Francesco & Dentice d'Accadia, Massimo & Macaluso, Adriano & Vanoli, Laura & Piacentino, Antonio, 2016. "A novel solar-geothermal trigeneration system integrating water desalination: Design, dynamic simulation and economic assessment," Energy, Elsevier, vol. 115(P3), pages 1533-1547.
    14. Jung, Hyung-Chul & Taylor, Leighton & Krumdieck, Susan, 2015. "An experimental and modelling study of a 1 kW organic Rankine cycle unit with mixture working fluid," Energy, Elsevier, vol. 81(C), pages 601-614.
    15. Gao, P. & Wang, L.W. & Wang, R.Z. & Jiang, L. & Zhou, Z.S., 2015. "Experimental investigation on a small pumpless ORC (organic rankine cycle) system driven by the low temperature heat source," Energy, Elsevier, vol. 91(C), pages 324-333.
    16. Cho, Soo-Yong & Cho, Chong-Hyun, 2015. "An experimental study on the organic Rankine cycle to determine as to how efficiently utilize fluctuating thermal energy," Renewable Energy, Elsevier, vol. 80(C), pages 73-79.
    17. Cho, Soo-Yong & Cho, Chong-Hyun & Choi, Sang-Kyu, 2015. "Experiment and cycle analysis on a partially admitted axial-type turbine used in the organic Rankine cycle," Energy, Elsevier, vol. 90(P1), pages 643-651.
    18. Xu, Weicong & Deng, Shuai & Su, Wen & Zhang, Ying & Zhao, Li & Yu, Zhixin, 2018. "How to approach Carnot cycle via zeotropic working fluid: Research methodology and case study," Energy, Elsevier, vol. 144(C), pages 576-586.
    19. Witanowski, Łukasz & Ziółkowski, Paweł & Klonowicz, Piotr & Lampart, Piotr, 2023. "A hybrid approach to optimization of radial inflow turbine with principal component analysis," Energy, Elsevier, vol. 272(C).
    20. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:8:p:614-:d:75324. 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.