Optimization of triple-pressure combined-cycle power plants by generalized disjunctive programming and extrinsic functions

نویسندگان

چکیده

Abstract A new mathematical framework for optimal synthesis, design, and operation of triple-pressure steam-reheat combined-cycle power plants (CCPP) is presented. superstructure-based representation the process, which embeds a large number candidate configurations, first proposed. Then, generalized disjunctive programming (GDP) model derived from it. Series, parallel, combined series-parallel arrangements heat exchangers are simultaneously embedded. Extrinsic functions executed outside GAMS dynamic-link libraries (DLL) used to estimate thermodynamic properties working fluids. As main result, improved process configurations with respect two reported reference cases were found. The total transfer areas calculated in this work by around 15% 26% lower than those corresponding cases. This paper contributes literature ways: (i) optimization natural gas CCPP solution strategy, (ii) HRSG configurations.

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ژورنال

عنوان ژورنال: Computers & Chemical Engineering

سال: 2021

ISSN: ['1873-4375', '0098-1354']

DOI: https://doi.org/10.1016/j.compchemeng.2020.107190