Stochastic simulation-based superstructure optimization framework for process synthesis and design under uncertainty
Advances in simulation and optimization technologies coupled with the continued growth in
computing power now increasingly pave the way for the development of advanced model …
computing power now increasingly pave the way for the development of advanced model …
An adaptive data-driven modelling and optimization framework for complex chemical process design
T Savage, HF Almeida-Trasvina… - Computer Aided …, 2020 - Elsevier
Current advances in computer-aided chemical process design and synthesis take
advantage of surrogate modelling and superstructure optimization techniques …
advantage of surrogate modelling and superstructure optimization techniques …
Increasing superstructure optimization capacity through self-learning surrogate models
Simulation-based optimization models are widely applied to find optimal operating
conditions of processes. Often, computational challenges arise from model complexity …
conditions of processes. Often, computational challenges arise from model complexity …
Multi-Stage Stochastic Programming Under Endogenous Uncertainty of Integrated Sustainable Chemical Process Design and Expansion Planning
Y Xu, Y Li, L Zhang, Z Yuan - ACS Sustainable Chemistry & …, 2024 - ACS Publications
Effective decision-making is essential for minimizing the environmental footprint while
strengthening the competitiveness of the chemical industry. This paper proposes a …
strengthening the competitiveness of the chemical industry. This paper proposes a …
Surrogate‐based superstructure optimization framework
CA Henao, CT Maravelias - AIChE Journal, 2011 - Wiley Online Library
In principle, optimization‐based “superstructure” methods for process synthesis can be more
powerful than sequential‐conceptual methods as they account for all complex interactions …
powerful than sequential‐conceptual methods as they account for all complex interactions …
A review of stochastic programming methods for optimization of process systems under uncertainty
C Li, IE Grossmann - Frontiers in Chemical Engineering, 2021 - frontiersin.org
Uncertainties are widespread in the optimization of process systems, such as uncertainties
in process technologies, prices, and customer demands. In this paper, we review the basic …
in process technologies, prices, and customer demands. In this paper, we review the basic …
Integrating stochastic programming and reliability in the optimal synthesis of chemical processes
Plant availability and operating uncertainties are critical considerations for the design and
operation of chemical processes as they directly impact service level and economic …
operation of chemical processes as they directly impact service level and economic …
A process synthesis tool for WWTP–an application to design sustainable energy recovery facilities
The objective of this paper is to present a new process synthesis tool to systematically
synthesize, design, and evaluate plant layouts for early-stage design/retrofit of wastewater …
synthesize, design, and evaluate plant layouts for early-stage design/retrofit of wastewater …
Extended surrogate assisted continuous process optimisation
L Stander, M Woolway… - 2020 7th International …, 2020 - ieeexplore.ieee.org
Chemical plant design and optimisation have proven to be challenging due to the
uncertainty in real-world systems. Research to date has mostly assumed that the system …
uncertainty in real-world systems. Research to date has mostly assumed that the system …
Novel Reformulations for Modeling Uncertainty and Variations in a Framework for Chemical Process Design
C Langner, E Svensson… - Industrial & …, 2023 - ACS Publications
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 …
design of chemical processes under uncertainty. The suggested framework is a stepwise …