Process systems engineering–the generation next?
Abstract Process Systems Engineering (PSE) is the scientific discipline of integrating scales
and components describing the behavior of a physicochemical system, via mathematical …
and components describing the behavior of a physicochemical system, via mathematical …
Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming
This paper reviews recent advances in the field of optimization under uncertainty via a
modern data lens, highlights key research challenges and promise of data-driven …
modern data lens, highlights key research challenges and promise of data-driven …
A review and comparison of solvers for convex MINLP
In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …
problems as well as a comprehensive comparison of a large selection of commonly …
Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality
A Ajagekar, F You - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Transitioning from fossil fuels to renewable sources and developing sustainable energy
materials for energy production and storage are critical factors in achieving climate …
materials for energy production and storage are critical factors in achieving climate …
A review of optimization and decision-making models for the planning of CO2 capture, utilization and storage (CCUS) systems
Carbon capture, utilization and storage (CCUS) is considered as one of the key strategies
for mitigating climate change. This technology involves CO 2 capture from stationary …
for mitigating climate change. This technology involves CO 2 capture from stationary …
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …
different from that of classical computers in terms of speed and methods of operations. This …
[图书][B] Nonlinear programming: concepts, algorithms, and applications to chemical processes
LT Biegler - 2010 - SIAM
Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …
problems for over 50 years. For many chemical process systems, detailed steady state and …
Forty years of heat integration: pinch analysis (PA) and mathematical programming (MP)
JJ Klemeš, Z Kravanja - Current Opinion in Chemical Engineering, 2013 - Elsevier
Highlights•Heat Integration (HI) has been an initial part of Process Integration (PI) for more
40 years now.•HI development has accelerated over the years.•The main two approaches …
40 years now.•HI development has accelerated over the years.•The main two approaches …
Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Parameter estimation for differential equations: a generalized smoothing approach
JO Ramsay, G Hooker, D Campbell… - Journal of the Royal …, 2007 - academic.oup.com
We propose a new method for estimating parameters in models that are defined by a system
of non-linear differential equations. Such equations represent changes in system outputs by …
of non-linear differential equations. Such equations represent changes in system outputs by …