Improving the load flexibility of industrial air separation units using a pressure‐driven digital twin

R Kender, F Rößler, B Wunderlich, M Pottmann… - AIChE …, 2022 - Wiley Online Library
Air separation units are one of the prime examples for studies on demand side management
and (non‐) linear model predictive control due to their high power consumption and energy …

Surrogate modeling of dissolution behavior toward efficient design of tablet manufacturing processes

K Matsunami, T Miura, K Yaginuma, S Tanabe… - Computers & Chemical …, 2023 - Elsevier
This paper presents surrogate models of dissolution behavior to identify the critical input
parameters in tablet manufacturing processes. Dissolution behavior is a critical quality …

ASU model with multiple adjustment types for oxygen scheduling concerning pipe pressure safety in steel enterprises

L Zhang, Z Zheng, Y Chai, Z Xu, K Zhang, Y Liu… - Applied Energy, 2023 - Elsevier
Steel production requires enough oxygen, which is produced by cryogenic air separation
(ASU) with a large load, high power, and slow adjustment. Facing complex oxygen …

Reduced order modeling of a pressure column of an air separation unit using the Dynamic Edmister Method

R Kender, L Stops, V Krespach, B Wunderlich… - Computers & Chemical …, 2023 - Elsevier
Accurate physical dynamic models applied as digital twins are vital for developing advanced
control strategies and optimizing dynamic plant operation. First principle models are often …

Synergistic optimization framework for the process synthesis and design of biorefineries

NI Vollmer, R Al, KV Gernaey, G Sin - Frontiers of Chemical Science and …, 2022 - Springer
The conceptual process design of novel bioprocesses in biorefinery setups is an important
task, which remains yet challenging due to several limitations. We propose a novel …

Automog 3d: Automated data-driven model generation of multi-energy systems using hinging hyperplanes

A Kaemper, A Holtwerth, L Leenders… - Frontiers in Energy …, 2021 - frontiersin.org
The optimal operation of multi-energy systems requires optimization models that are
accurate and computationally efficient. In practice, models are mostly generated manually …

An iterative constrained least squares method for continuous piecewise linear approximation

JH Kim, N Choi, S Heo - Computers & Chemical Engineering, 2022 - Elsevier
In this work, a novel iterative least squares method is proposed to approximate nonlinear
functions with continuous piecewise linear (CPWL) functions, where the continuity is …

[HTML][HTML] Piecewise linear approximation for MILP leveraging piecewise convexity to improve performance

F Birkelbach, D Huber, R Hofmann - Computers & Chemical Engineering, 2024 - Elsevier
To realize adaptive operation planning with MILP unit commitment, piecewise-linear
approximations of the functions that describe the operating behavior of devices in the energy …

A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems

J Morlet‐Espinosa, A Flores‐Tlacuahuac - AIChE Journal - Wiley Online Library
The optimization of process systems within the field of Chemical Engineering often confronts
uncertainties that can exert significant influences on the performance and dependability of …

Value Chain Optimization of a Xylitol Biorefinery with Delaunay Triangulation Regression Models

NI Vollmer, KV Gernaey, G Sin - Computer Aided Chemical Engineering, 2022 - Elsevier
The presented work focuses on the value chain optimization of a conceptually designed
biorefinery, considering the plant capacity and other logistic and design constraints. An …