IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v142y2018icp108-120.html
   My bibliography  Save this article

Molecular property methods for assessing efficiency of organic Rankine cycles

Author

Listed:
  • Lukawski, Maciej Z.
  • DiPippo, Ronald
  • Tester, Jefferson W.

Abstract

This paper presents a robust method for assessing the efficiency of organic Rankine cycle (ORC) plants based on the molecular structures of the working fluids employed. The developed methodology uses molecular group contribution methods and does not require equations of state or extensive experimental data. The maximum utilization efficiency ɳu* of an ORC plant was correlated with two thermodynamic properties of the working fluid, namely, its critical temperature Tc and reduced ideal gas heat capacity Cp0/R. The developed correlations predict ɳu* with an average error of 0.9–1.5 percentage points. The optimum ORC heat source temperature Ths* can be predicted with an average error of 3.5 °C to 6.6 °C. The developed methodology was validated using a numerical model of an optimized ORC. It was then used to estimate ɳu* and Ths* of 92 working fluids with low global warming potentials (GWP100 < 150) and low flammability values (LFL > 0.1 kg/m3). Lastly, best candidate next-generation, low-GWP working fluids were selected for a more detailed examination.

Suggested Citation

  • Lukawski, Maciej Z. & DiPippo, Ronald & Tester, Jefferson W., 2018. "Molecular property methods for assessing efficiency of organic Rankine cycles," Energy, Elsevier, vol. 142(C), pages 108-120.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:108-120
    DOI: 10.1016/j.energy.2017.09.140
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217316614
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.09.140?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. Maraver, Daniel & Royo, Javier & Lemort, Vincent & Quoilin, Sylvain, 2014. "Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications," Applied Energy, Elsevier, vol. 117(C), pages 11-29.
    2. Oyewunmi, Oyeniyi A. & Taleb, Aly I. & Haslam, Andrew J. & Markides, Christos N., 2016. "On the use of SAFT-VR Mie for assessing large-glide fluorocarbon working-fluid mixtures in organic Rankine cycles," Applied Energy, Elsevier, vol. 163(C), pages 263-282.
    3. Chen, Huijuan & Goswami, D. Yogi & Stefanakos, Elias K., 2010. "A review of thermodynamic cycles and working fluids for the conversion of low-grade heat," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3059-3067, December.
    4. Frutiger, Jérôme & Andreasen, Jesper & Liu, Wei & Spliethoff, Hartmut & Haglind, Fredrik & Abildskov, Jens & Sin, Gürkan, 2016. "Working fluid selection for organic Rankine cycles – Impact of uncertainty of fluid properties," Energy, Elsevier, vol. 109(C), pages 987-997.
    5. Su, Wen & Zhao, Li & Deng, Shuai, 2017. "Simultaneous working fluids design and cycle optimization for Organic Rankine cycle using group contribution model," Applied Energy, Elsevier, vol. 202(C), pages 618-627.
    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. Pollack, Ahinoam & Mukerji, Tapan, 2019. "Accounting for subsurface uncertainty in enhanced geothermal systems to make more robust techno-economic decisions," Applied Energy, Elsevier, vol. 254(C).
    2. Tian, Xueyu & You, Fengqi, 2019. "Carbon-neutral hybrid energy systems with deep water source cooling, biomass heating, and geothermal heat and power," Applied Energy, Elsevier, vol. 250(C), pages 413-432.
    3. White, M.T. & Oyewunmi, O.A. & Chatzopoulou, M.A. & Pantaleo, A.M. & Haslam, A.J. & Markides, C.N., 2018. "Computer-aided working-fluid design, thermodynamic optimisation and thermoeconomic assessment of ORC systems for waste-heat recovery," Energy, Elsevier, vol. 161(C), pages 1181-1198.
    4. Yan, Yinlian & Yang, Fubin & Zhang, Hongguang & Pan, Yachao & Ping, Xu & Ge, Zhong, 2023. "Study on performance evaluation framework and design/ selection guidelines of working fluids for subcritical organic Rankine cycle from molecular structure perspective," Energy, Elsevier, vol. 282(C).
    5. Wang, Enhua & Mao, Jingwen & Zhang, Bo & Wang, Yongzhen, 2023. "On the CAMD method based on PC-SAFT for working fluid design of a high-temperature organic Rankine cycle," Energy, Elsevier, vol. 263(PD).
    6. Fanxiao, Meng & Enhua, Wang & Bo, Zhang, 2021. "Possibility of optimal efficiency prediction of an organic Rankine cycle based on molecular property method for high-temperature exhaust gases," Energy, Elsevier, vol. 222(C).
    7. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
    8. Lee, Inkyu & Tester, Jefferson William & You, Fengqi, 2019. "Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 551-577.

    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. Magdalena Santos-Rodriguez, M. & Flores-Tlacuahuac, Antonio & Zavala, Victor M., 2017. "A stochastic optimization approach for the design of organic fluid mixtures for low-temperature heat recovery," Applied Energy, Elsevier, vol. 198(C), pages 145-159.
    2. Yang, Fufang & Yang, Fubin & Liu, Qiang & Chu, Qingfu & Yang, Zhen & Duan, Yuanyuan, 2022. "Thermodynamic analysis of working fluids: What is the highest performance of the sub- and trans-critical organic Rankine cycles?," Energy, Elsevier, vol. 241(C).
    3. Steven Lecompte & Oyeniyi A. Oyewunmi & Christos N. Markides & Marija Lazova & Alihan Kaya & Martijn Van den Broek & Michel De Paepe, 2017. "Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)," Energies, MDPI, vol. 10(5), pages 1-16, May.
    4. 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.
    5. Cavazzini, G. & Bari, S. & Pavesi, G. & Ardizzon, G., 2017. "A multi-fluid PSO-based algorithm for the search of the best performance of sub-critical Organic Rankine Cycles," Energy, Elsevier, vol. 129(C), pages 42-58.
    6. Xue, Xiaodi & Guo, Cong & Du, Xiaoze & Yang, Lijun & Yang, Yongping, 2015. "Thermodynamic analysis and optimization of a two-stage organic Rankine cycle for liquefied natural gas cryogenic exergy recovery," Energy, Elsevier, vol. 83(C), pages 778-787.
    7. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    8. Niu, Jintao & Wang, Jiansheng & Liu, Xueling, 2023. "Thermodynamic and economic analysis of organic Rankine cycle combined with flash cycle and ejector," Energy, Elsevier, vol. 282(C).
    9. 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.
    10. Li, Jing & Alvi, Jahan Zeb & Pei, Gang & Su, Yuehong & Li, Pengcheng & Gao, Guangtao & Ji, Jie, 2016. "Modelling of organic Rankine cycle efficiency with respect to the equivalent hot side temperature," Energy, Elsevier, vol. 115(P1), pages 668-683.
    11. Li, Jian & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Liu, Qiang, 2018. "Parametric optimization and thermodynamic performance comparison of single-pressure and dual-pressure evaporation organic Rankine cycles," Applied Energy, Elsevier, vol. 217(C), pages 409-421.
    12. Oyewunmi, Oyeniyi A. & Kirmse, Christoph J.W. & Haslam, Andrew J. & Müller, Erich A. & Markides, Christos N., 2017. "Working-fluid selection and performance investigation of a two-phase single-reciprocating-piston heat-conversion engine," Applied Energy, Elsevier, vol. 186(P3), pages 376-395.
    13. van Kleef, Luuk M.T. & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2019. "Multi-objective thermo-economic optimization of organic Rankine cycle (ORC) power systems in waste-heat recovery applications using computer-aided molecular design techniques," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    14. Steven Lecompte & Sanne Lemmens & Henk Huisseune & Martijn Van den Broek & Michel De Paepe, 2015. "Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery," Energies, MDPI, vol. 8(4), pages 1-28, April.
    15. Li, Xiaoya & Xu, Bin & Tian, Hua & Shu, Gequn, 2021. "Towards a novel holistic design of organic Rankine cycle (ORC) systems operating under heat source fluctuations and intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    16. Yi, Zhitong & Luo, Xianglong & Chen, Jianyong & Chen, Ying, 2017. "Mathematical modelling and optimization of a liquid separation condenser-based organic Rankine cycle used in waste heat utilization," Energy, Elsevier, vol. 139(C), pages 916-934.
    17. Zhang, Xinxin & Li, Yang, 2023. "An examination of super dry working fluids used in regenerative organic Rankine cycles," Energy, Elsevier, vol. 263(PD).
    18. Mohan, Sooraj & Dinesha, P. & Campana, Pietro Elia, 2022. "ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid," Energy, Elsevier, vol. 259(C).
    19. Lecompte, Steven & Huisseune, Henk & van den Broek, Martijn & Vanslambrouck, Bruno & De Paepe, Michel, 2015. "Review of organic Rankine cycle (ORC) architectures for waste heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 448-461.
    20. Simpson, Michael C. & Chatzopoulou, Maria Anna & Oyewunmi, Oyeniyi A. & Le Brun, Niccolo & Sapin, Paul & Markides, Christos N., 2019. "Technoeconomic analysis of internal combustion engine – organic Rankine cycle systems for combined heat and power in energy-intensive buildings," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

    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:142:y:2018:i:c:p:108-120. 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.