Imperial College London
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Dr Andrew J Haslam

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5618a.haslam CV

 
 
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Location

 

408Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{White:2017:10.1016/j.enconman.2017.03.048,
author = {White, MT and Oyewunmi, OO and Haslam, AJ and Markides, CN},
doi = {10.1016/j.enconman.2017.03.048},
journal = {Energy Conversion and Management},
pages = {851--869},
title = {Industrial waste-heat recovery through integrated computer-aided working-fluid and ORC system optimisation using SAFT-γ Mie},
url = {http://dx.doi.org/10.1016/j.enconman.2017.03.048},
volume = {150},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A mixed-integer non-linear programming optimisation framework is formulated and developed that combines a molecular-based, group-contribution equation of state, SAFT-γγ Mie, with a thermodynamic description of an organic Rankine cycle (ORC) power system. In this framework, a set of working fluids is described by its constituent functional groups (e.g., since we are focussing here on hydrocarbons: single bondCH3, single bondCH2single bond, etc.  ), and integer optimisation variables are introduced in the description the working-fluid structure. Molecular feasibility constraints are then defined to ensure all feasible working-fluid candidates can be found. This optimisation framework facilitates combining the computer-aided molecular design of the working fluid with the power-system optimisation into a single framework, thus removing subjective and pre-emptive screening criteria, and simultaneously moving towards the next generation of tailored working fluids and optimised systems for waste-heat recovery applications. SAFT-γγ Mie has not been previously employed in such a framework. The optimisation framework, which is based here on hydrocarbon functional groups, is first validated against an alternative formulation that uses (pseudo-experimental) thermodynamic property predictions from REFPROP, and against an optimisation study taken from the literature. The framework is then applied to three industrial waste-heat recovery applications. It is found that simple molecules, such as propane and propene, are the optimal ORC working fluids for a low-grade (150 °C) heat source, whilst molecules with increasing molecular complexity are favoured at higher temperatures. Specifically, 2-alkenes emerge as the optimal working fluids for medium- and higher-grade heat-sources in the 250–350 °C temperature range. Ultimately, the results demonstrate the potential of this framework to drive the search for the next generation of ORC systems, and to
AU  - White,MT
AU  - Oyewunmi,OO
AU  - Haslam,AJ
AU  - Markides,CN
DO  - 10.1016/j.enconman.2017.03.048
EP  - 869
PY  - 2017///
SN  - 0196-8904
SP  - 851
TI  - Industrial waste-heat recovery through integrated computer-aided working-fluid and ORC system optimisation using SAFT-γ Mie
T2  - Energy Conversion and Management
UR  - http://dx.doi.org/10.1016/j.enconman.2017.03.048
UR  - http://hdl.handle.net/10044/1/45596
VL  - 150
ER  -
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