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

White, M. ORCID: 0000-0002-7744-1993, Oyewunmi, O. A., Chatzopoulou, M. A., Pantaleo, A. M., Haslam, A. J. and Markides, C. N. (2019). Computer-aided working-fluid design, thermodynamic optimisation and technoeconomic assessment of ORC systems for waste-heat recovery. Energy, doi: 10.1016/


The wider adoption of organic Rankine cycle (ORC) technology can be facilitated by improved thermodynamic performance and reduced costs. In this context the power system should be evaluated based on a thermeconomic assessment with the aim of improving economic viability. This paper couples the computer- aided molecular design (CAMD) of the working-fluid with thermodynamic modelling and optimisation, in addition to heat-exchanger sizing models, component cost correlations, and a thermoeconomic assessment. The proposed CAMD-ORC framework, based on the SAFT-γ Mie equation of state, allows the thermodynamic optimisation of the cycle and working-fluid in a single stage, thus removing subjective and pre-emptive screening criteria that would otherwise exist in conventional studies. Following validation, the framework is used to identify optimal working-fluids for three different heat sources (150, 250 and 350 °C), corresponding to small- to medium-scale applications. In each case, the optimal combination of working-fluid and ORC system is identified, and investment costs are evaluated. It is observed that fluids with low specific-investment costs (SIC) are different to those that maximise power output. The fluids with the lowest SIC are isoheptane, 2-pentene and 2-heptene, with SICs of 5,620, 2,760 and 2,070 £/kW respectively, and corresponding power outputs of 32.9, 136.6 and 213.9 kW.

Publication Type: Article
Additional Information: © 2018 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Publisher Keywords: Organic Rankine cycle, ORC, Computer-aided molecular-design, CAMD, Group contribution, SAFT-γ Mie, Technoeconomic
Subjects: Q Science > QC Physics
T Technology > TJ Mechanical engineering and machinery
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Mechanical Engineering & Aeronautics
[img] Text - Accepted Version
This document is not freely accessible until 19 July 2019 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

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