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Computer-aided working-fluid design, thermodynamic optimisation and thermoeconomic assessment of ORC systems for waste-heat recovery

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  • White, M.T.
  • Oyewunmi, O.A.
  • Chatzopoulou, M.A.
  • Pantaleo, A.M.
  • Haslam, A.J.
  • Markides, C.N.

Abstract

The wider adoption of organic Rankine cycle (ORC) technology for power generation or cogeneration from renewable or recovered waste-heat in many applications can be facilitated by improved thermodynamic performance, but also reduced investment costs. In this context, it is suggested that the further development of ORC power systems should be guided by combined thermoeconomic assessments that can capture directly the trade-offs between performace and cost with the aim of proposing solutions with high resource-use efficiency and, importantly, improved economic viability. This paper couples, for the first time, the computer-aided molecular design (CAMD) of the ORC working-fluid based on the statistical associating fluid theory (SAFT)-γ Mie equation of state with thermodynamic modelling and optimisation, in addition to heat-exchanger sizing models, component cost correlations and thermoeconomic assessments. The resulting CAMD-ORC framework presents a novel and powerful approach with extended capabilities that allows the thermodynamic optimisation of the ORC system and working fluid to be performed in a single step, thus removing subjective and pre-emptive screening criteria that exist in conventional approaches, while also extending to include cost considerations relating to the resulting optimal systems. Following validation, the proposed framework is used to identify optimal cycles and working fluids over a wide range of conditions characterised by three different heat-source cases with temperatures of 150 °C, 250 °C and 350 °C, corresponding to small- to medium-scale applications. In each case, the optimal combination of ORC system design and working fluid is identified, and the corresponding capital costs are evaluated. It is found that fluids with low specific-investment costs (SIC) are different to those that maximise the power output. The fluids with the lowest SIC are isoheptane, 2-pentene and 2-heptene, with SICs of £5620, £2760 and £2070 per kW respectively, and corresponding power outputs of 32.9 kW, 136.6 kW and 213.9 kW.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:161:y:2018:i:c:p:1181-1198
    DOI: 10.1016/j.energy.2018.07.098
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    Cited by:

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    2. Babras Khan & Man-Hoe Kim, 2022. "Energy and Exergy Analyses of a Novel Combined Heat and Power System Operated by a Recuperative Organic Rankine Cycle Integrated with a Water Heating System," Energies, MDPI, vol. 15(18), pages 1-19, September.
    3. Morais, Pedro Henrique da Silva & Lodi, Andressa & Aoki, Adriana Cristine & Modesto, Marcelo, 2020. "Energy, exergetic and economic analyses of a combined solar-biomass-ORC cooling cogeneration systems for a Brazilian small plant," Renewable Energy, Elsevier, vol. 157(C), pages 1131-1147.
    4. 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).
    5. 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.
    6. Luo, Xianglong & Wang, Yupeng & Liang, Junwei & Qi, Ji & Su, Wen & Yang, Zhi & Chen, Jianyong & Wang, Chao & Chen, Ying, 2019. "Improved correlations for working fluid properties prediction and their application in performance evaluation of sub-critical Organic Rankine Cycle," Energy, Elsevier, vol. 174(C), pages 122-137.
    7. Xinxin Zhang & Yin Zhang & Min Cao & Jingfu Wang & Yuting Wu & Chongfang Ma, 2019. "Working Fluid Selection for Organic Rankine Cycle Using Single-Screw Expander," Energies, MDPI, vol. 12(16), pages 1-23, August.
    8. Aziz, Faraz & Salim, Mohammad Saad & Kim, Man-Hoe, 2019. "Performance analysis of high temperature cascade organic Rankine cycle coupled with water heating system," Energy, Elsevier, vol. 170(C), pages 954-966.
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    11. Schilling, J. & Entrup, M. & Hopp, M. & Gross, J. & Bardow, A., 2021. "Towards optimal mixtures of working fluids: Integrated design of processes and mixtures for Organic Rankine Cycles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Dokl, Monika & Gomilšek, Rok & Čuček, Lidija & Abikoye, Ben & Kravanja, Zdravko, 2022. "Maximizing the power output and net present value of organic Rankine cycle: Application to aluminium industry," Energy, Elsevier, vol. 239(PE).
    13. Kumar, Thanikasalam & Mohsin, Rahmat & Majid, Zulkifli Abd. & Ghafir, Mohammad Fahmi Abdul & Wash, Ananth Manickam, 2020. "Experimental study of the anti-knock efficiency of high-octane fuels in spark ignited aircraft engine using response surface methodology," Applied Energy, Elsevier, vol. 259(C).
    14. Zhao, Dongpeng & Deng, Shuai & Zhao, Li & Xu, Weicong & Zhao, Ruikai & Wang, Wei, 2020. "From 1 to N: A computer-aided case study of thermodynamic cycle construction based on thermodynamic process combination," Energy, Elsevier, vol. 210(C).
    15. Fabio Fatigati & Diego Vittorini & Yaxiong Wang & Jian Song & Christos N. Markides & Roberto Cipollone, 2020. "Design and Operational Control Strategy for Optimum Off-Design Performance of an ORC Plant for Low-Grade Waste Heat Recovery," Energies, MDPI, vol. 13(21), pages 1-23, November.
    16. 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.
    17. Liu, Changwei & Gao, Tieyu, 2019. "Off-design performance analysis of basic ORC, ORC using zeotropic mixtures and composition-adjustable ORC under optimal control strategy," Energy, Elsevier, vol. 171(C), pages 95-108.
    18. 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.
    19. Jovell, Daniel & Gonzalez-Olmos, Rafael & Llovell, Fèlix, 2022. "A computational drop-in assessment of hydrofluoroethers in Organic Rankine Cycles," Energy, Elsevier, vol. 254(PB).
    20. Zhang, Bo & Wang, Enhua & Meng, Fanxiao & Zhang, Fujun & Zhao, Changlu, 2020. "Prediction accuracy of thermodynamic properties using PC-SAFT for high-temperature organic Rankine cycle with siloxanes," Energy, Elsevier, vol. 204(C).

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