IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v272y2023ics0360544223004358.html
   My bibliography  Save this article

Thermo-economic performance limit analysis of combined heat and power systems for optimal working fluid selections

Author

Listed:
  • Yang, Xiaoxian
  • Yang, Fubin
  • Yang, Fufang

Abstract

In previous works, we have proposed the thermodynamic performance limit analysis methodology for the organic Rankine cycle for analyzing the impact of working fluid properties on system performance. Here the concept is extended to the thermo-economic performance limits, and is applied to a combined heat and power system based on an organic Rankine cycle. Working fluids are characterized with 8 characteristic thermodynamic and transport properties based on a corresponding state model and a residual entropy scaling approach. The 8 fluid characteristic properties along with 3 system operational parameters are optimized using a multi-objective genetic algorithm; a Monte Carlo algorithm is further adopted to avoid sub-optimal convergences. As the result, the performance limits could be well represented by the trade-off (Pareto front) between the maximized thermal efficiency and minimized payback period. The impact of the fluid characteristic properties on both thermodynamic and economic targets is investigated and ultimately guided the choice of working fluids: low molar mass, low thermal conductivity scaling factor, high viscosity scaling factor and high critical pressure are always preferred. "Wet" working fluid is preferred for a high thermal efficiency while "dry" working fluid is favored for a short payback period. Critical temperature has the most profound impact, while ideal gas isobaric heat capacity and acentric factor have negligible impacts. The choice of working fluid, system design (e.g., recuperative effectiveness) and system operational parameters (e.g., evaporation temperature) highly depends on the given hot sources and the preferences to the thermodynamic and economic targets.

Suggested Citation

  • Yang, Xiaoxian & Yang, Fubin & Yang, Fufang, 2023. "Thermo-economic performance limit analysis of combined heat and power systems for optimal working fluid selections," Energy, Elsevier, vol. 272(C).
    • Handle: RePEc:eee:energy:v:272:y:2023:i:c:s0360544223004358
    DOI: 10.1016/j.energy.2023.127041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223004358
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127041?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. 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).
    2. Freeman, James & Hellgardt, Klaus & Markides, Christos N., 2017. "Working fluid selection and electrical performance optimisation of a domestic solar-ORC combined heat and power system for year-round operation in the UK," Applied Energy, Elsevier, vol. 186(P3), pages 291-303.
    3. Eyerer, Sebastian & Dawo, Fabian & Wieland, Christoph & Spliethoff, Hartmut, 2020. "Advanced ORC architecture for geothermal combined heat and power generation," Energy, Elsevier, vol. 205(C).
    4. Lecompte, S. & Huisseune, H. & van den Broek, M. & De Schampheleire, S. & De Paepe, M., 2013. "Part load based thermo-economic optimization of the Organic Rankine Cycle (ORC) applied to a combined heat and power (CHP) system," Applied Energy, Elsevier, vol. 111(C), pages 871-881.
    5. Bao, Junjiang & Zhao, Li, 2013. "A review of working fluid and expander selections for organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 325-342.
    6. Wang, E.H. & Zhang, H.G. & Fan, B.Y. & Ouyang, M.G. & Zhao, Y. & Mu, Q.H., 2011. "Study of working fluid selection of organic Rankine cycle (ORC) for engine waste heat recovery," Energy, Elsevier, vol. 36(5), pages 3406-3418.
    7. Zhang, Jian & Cho, Heejin & Knizley, Alta, 2016. "Evaluation of financial incentives for combined heat and power (CHP) systems in U.S. regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 738-762.
    8. Li, Gang, 2016. "Organic Rankine cycle performance evaluation and thermoeconomic assessment with various applications part I: Energy and exergy performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 477-499.
    9. Li, Gang, 2016. "Organic Rankine cycle performance evaluation and thermoeconomic assessment with various applications part II: Economic assessment aspect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 490-505.
    10. Quoilin, Sylvain & Broek, Martijn Van Den & Declaye, Sébastien & Dewallef, Pierre & Lemort, Vincent, 2013. "Techno-economic survey of Organic Rankine Cycle (ORC) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 168-186.
    11. Hu, Shuozhuo & Li, Jian & Yang, Fubin & Yang, Zhen & Duan, Yuanyuan, 2020. "Multi-objective optimization of organic Rankine cycle using hydrofluorolefins (HFOs) based on different target preferences," Energy, Elsevier, vol. 203(C).
    12. Murugan, S. & Horák, Bohumil, 2016. "A review of micro combined heat and power systems for residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 144-162.
    13. Liu, Ming & Wang, Shan & Yan, Junjie, 2021. "Operation scheduling of a coal-fired CHP station integrated with power-to-heat devices with detail CHP unit models by particle swarm optimization algorithm," Energy, Elsevier, vol. 214(C).
    14. 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.
    15. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    16. Maghanki, Maryam Mohammadi & Ghobadian, Barat & Najafi, Gholamhassan & Galogah, Reza Janzadeh, 2013. "Micro combined heat and power (MCHP) technologies and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 510-524.
    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. Wang, Chongyao & Wang, Xin & Wang, Huaiyu & Xu, Yonghong & Ge, Yunshan & Tan, Jianwei & Hao, Lijun & Wang, Yachao & Zhang, Mengzhu & Li, Ruonan, 2024. "Co-optimizing NOx emission and power output of a natural gas engine-ORC combined system through neural networks and genetic algorithms," Energy, Elsevier, vol. 289(C).
    2. Zhang, Siyuan & Liu, Xinxin & Liu, Liang & Pan, Xiaohui & Li, Qibin & Wang, Shukun & Jiao, Youzhou & He, Chao & Li, Gang, 2024. "Thermo-economic assessment and multi-objective optimization of organic Rankine cycle driven by solar energy and waste heat," Energy, Elsevier, vol. 290(C).
    3. Wang, Shiqi & Yuan, Zhongyuan & Yu, Nanyang, 2023. "Thermo-economic optimization of organic Rankine cycle with steam-water dual heat source," Energy, Elsevier, vol. 274(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. 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.
    2. 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).
    3. 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).
    4. Chatzopoulou, Maria Anna & Markides, Christos N., 2018. "Thermodynamic optimisation of a high-electrical efficiency integrated internal combustion engine – Organic Rankine cycle combined heat and power system," Applied Energy, Elsevier, vol. 226(C), pages 1229-1251.
    5. 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.
    6. Chatzopoulou, Maria Anna & Simpson, Michael & Sapin, Paul & Markides, Christos N., 2019. "Off-design optimisation of organic Rankine cycle (ORC) engines with piston expanders for medium-scale combined heat and power applications," Applied Energy, Elsevier, vol. 238(C), pages 1211-1236.
    7. 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.
    8. 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.
    9. Hoang, Anh Tuan, 2018. "Waste heat recovery from diesel engines based on Organic Rankine Cycle," Applied Energy, Elsevier, vol. 231(C), pages 138-166.
    10. Fuhaid Alshammari & Apostolos Karvountzis-Kontakiotis & Apostolos Pesyridis & Muhammad Usman, 2018. "Expander Technologies for Automotive Engine Organic Rankine Cycle Applications," Energies, MDPI, vol. 11(7), pages 1-36, July.
    11. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Insights into geothermal utilization of abandoned oil and gas wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 44-60.
    12. 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).
    13. Wang, Dabiao & Dai, Xiaoye & Wu, Zhihua & Zhao, Wu & Wang, Puwei & Hu, Busong & Shi, Lin, 2020. "Design and testing of a 340 kW Organic Rankine Cycle system for Low Pressure Saturated Steam heat source," Energy, Elsevier, vol. 210(C).
    14. Ibrahim, Thamir K. & Mohammed, Mohammed Kamil & Awad, Omar I. & Abdalla, Ahmed N. & Basrawi, Firdaus & Mohammed, Marwah N. & Najafi, G. & Mamat, Rizalman, 2018. "A comprehensive review on the exergy analysis of combined cycle power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 835-850.
    15. 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.
    16. White, Martin & Sayma, Abdulnaser I., 2016. "Improving the economy-of-scale of small organic rankine cycle systems through appropriate working fluid selection," Applied Energy, Elsevier, vol. 183(C), pages 1227-1239.
    17. Ivan Korolija & Richard Greenough, 2016. "Modelling the Influence of Climate on the Performance of the Organic Rankine Cycle for Industrial Waste Heat Recovery," Energies, MDPI, vol. 9(5), pages 1-20, May.
    18. 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.
    19. Larsen, Ulrik & Pierobon, Leonardo & Wronski, Jorrit & Haglind, Fredrik, 2014. "Multiple regression models for the prediction of the maximum obtainable thermal efficiency of organic Rankine cycles," Energy, Elsevier, vol. 65(C), pages 503-510.
    20. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.

    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:272:y:2023:i:c:s0360544223004358. 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.