2024-03-252024-03-252021-02-01Computers & Chemical Engineering, 146, 107190.0098-1354http://hdl.handle.net/20.500.12272/10067A new mathematical framework for optimal synthesis, design, and operation of triple-pressure steamreheat combined-cycle power plants (CCPP) is presented. A superstructure-based representation of the process, which embeds a large number of candidate configurations, is first proposed. Then, a generalized disjunctive programming (GDP) mathematical model is derived from it. Series, parallel, and combined series-parallel arrangements of heat exchangers are simultaneously embedded. Extrinsic functions executed outside GAMS from dynamic-link libraries (DLL) are used to estimate the thermodynamic properties of the working fluids. As a main result, improved process configurations with respect to two reported reference cases were found. The total heat transfer areas calculated in this work are by around 15% and 26% lower than those corresponding to the reference cases. This paper contributes to the literature in two ways: (i) with a disjunctive optimization model of natural gas CCPP and the corresponding solution strategy, and (ii) with improved HRSG configurations.pdfengopenAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalGAMSGeneralized disjunctive programmingExtrinsic functionsThree-pressure reheat combined-cycle power plantHeat recovery steam generator HRSGinfo:eu-repo/semantics/articleAcceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.https://doi.org/10.1016/j.compchemeng.2020.107190