Optimization of chemical processes is challenging due to nonlinearities arising from
chemical principles and discrete design decisions. The optimal synthesis and design of …

This study introduces the logic‐based discrete‐Benders decomposition (LD‐BD) for
Generalized Disjunctive Programming (GDP) superstructure problems with ordered Boolean …

This work presents the optimal synthesis and design of a rigorous catalytic distillation (CD)
column that explicitly considers the multiscale and multiphase nature of this intensification …

Abstract A modified Generalized Benders Decomposition (mGBD) algorithm for the mixed-
integer nonlinear problem (MINLP) optimization of distillation processes is presented and …

This work addresses the optimal design of catalytic distillation (CD) columns taking into
account discrete design variables, ie, the number of stages and location of feed stages and …

In this work, we present the modeling, optimization, and conceptual design of a dividing wall
column for the separation of four products, commonly referred to in the literature as a Kaibel …

In the chemical process, reactor and distillation sequence are interconnected by the reactor
effluent and recycle streams, and affect the heat exchanger network (HEN). A systematic …

Optimizing multistage processes, such as distillation or absorption, is a complex mixed-
integer nonlinear programming (MINLP) problem. Relaxing integer into continuous variables …

This PhD thesis presents the development and application of new optimization models and
algorithms for the solution of relevant Mixed Integer Nonlinear Programming (MINLP) and …

This final report describes novel capabilities developed as part of DISPATCHES, Design
Integration and Synthesis Platform to Advance Tightly Coupled Hybrid Energy Systems, for …