[HTML][HTML] Lignocellulosic biorefineries: A multiscale approach for resource exploitation

M Martín, M Taifouris, G Galán - Bioresource Technology, 2023 - Elsevier
Biomass can become the source for chemicals towards a sustainable production system.
However, the challenges it presents such as the variety of species, their widespread and …

[HTML][HTML] Sustainable process synthesis, design, and analysis: Challenges and opportunities

M Martin, R Gani, IM Mujtaba - Sustainable Production and Consumption, 2022 - Elsevier
In this perspective paper, we present challenges and opportunities that the chemical,
biochemical and related industries pose to the process system engineering community to …

[HTML][HTML] Designing the process designer: Hierarchical reinforcement learning for optimisation-based process design

AA Khan, AA Lapkin - Chemical Engineering and Processing-Process …, 2022 - Elsevier
Optimisation-based design is an established methodology that aims to achieve a globally
optimal solution to a complex process design task by representing it as an optimisation …

A Benders decomposition framework for the optimization of disjunctive superstructures with ordered discrete decisions

DA Liñán, LA Ricardez‐Sandoval - AIChE Journal, 2023 - Wiley Online Library
This study introduces the logic‐based discrete‐Benders decomposition (LD‐BD) for
Generalized Disjunctive Programming (GDP) superstructure problems with ordered Boolean …

[HTML][HTML] Boosting autonomous process design and intensification with formalized domain knowledge

JR Seidenberg, AA Khan, AA Lapkin - Computers & Chemical Engineering, 2023 - Elsevier
Conceptual process design deals with searching for optimal process flowsheets in a large
design space. Effective approaches benefit from sensible search space restrictions …

Advanced Modeling and Optimization Strategies for Process Synthesis

EN Pistikopoulos, Y Tian - Annual Review of Chemical and …, 2024 - annualreviews.org
This article provides a systematic review of recent progress in optimization-based process
synthesis. First, we discuss multiscale modeling frameworks featuring targeting approaches …

Comparison of MINLP formulations for global superstructure optimization

J Burre, D Bongartz, A Mitsos - Optimization and engineering, 2023 - Springer
Superstructure optimization is a powerful but computationally demanding task that can be
used to select the optimal structure among many alternatives within a single optimization. In …

[HTML][HTML] A generalized disjunctive programming model for the optimal design of reverse electrodialysis process for salinity gradient-based power generation

C Tristán, M Fallanza, R Ibáñez, I Ortiz… - Computers & Chemical …, 2023 - Elsevier
Reverse electrodialysis (RED) is an emerging electro-membrane technology that generates
electricity out of salinity differences between two solutions, a renewable source known as …

Integrating stochastic programming and reliability in the optimal synthesis of chemical processes

Y Chen, Y Ye, Z Yuan, IE Grossmann… - Computers & Chemical …, 2022 - Elsevier
Plant availability and operating uncertainties are critical considerations for the design and
operation of chemical processes as they directly impact service level and economic …

[HTML][HTML] Optimization-based process synthesis by phenomena-based building blocks and an MINLP framework featuring structural screening

D Krone, E Esche, M Skiborowski, JU Repke - Computers & Chemical …, 2025 - Elsevier
An existing approach for optimization-based process synthesis with abstracted phenomena-
based building blocks (PBB) is extended by implementing it into a novel MINLP framework …