Abstract Machine learning models are promising as surrogates in optimization when replacing difficult to solve equations or black-box type models. This work demonstrates the …
Y Luo, M Ierapetritou - Industrial & Engineering Chemistry …, 2023 - ACS Publications
Biorefineries are designed to utilize a combination of various technologies to transform biomass derived raw materials into different value-added products. This strategy has been …
ZY Kong, YT Tsai, J Sunarso, VSK Adi - Separation and Purification …, 2023 - Elsevier
The steady-state design and control studies of extractive distillation (ED) for azeotropic separation has received significant interest in the recent years. These studies however are …
ZY Kong, YT Tsai, Y Tian, J Sunarso, VSK Adi - Separation and Purification …, 2023 - Elsevier
In our previous work (Sep. Purif. Technol. 312 (2023) 123344), we incorporated flexibility index (FI) into steady-state extractive distillation (ED) design for binary azeotropic …
Process development is typically associated with lengthy wet-lab experiments for the identification of good candidate setups and operating conditions. In this paper, we present …
Y Tian, S Li - Computers & Chemical Engineering, 2023 - Elsevier
A multi-plant heat exchanger network (HEN) can recover waste heat across plant boundaries and reduce utility consumption in industrial parks. Conventional multi-plant heat …
Heat integration by a heat exchanger network (HEN) is an important topic in chemical process system synthesis. From the perspective of optimization, the simultaneous synthesis …
In this work, we present a framework to support designers in the early-stage screening and design of chemical processes under uncertainty. The suggested framework is a stepwise …
W Zhang, VM Zavala - Computers & Chemical Engineering, 2023 - Elsevier
The power grid is undergoing significant restructuring driven by the incorporation of renewable power and new flexible technologies that enable space–time load shifting, which …