Recent trends on hybrid modeling for Industry 4.0
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …
control, diagnosis, optimization, and design, especially since the third industrial revolution …
Machine learning in chemical engineering: A perspective
The transformation of the chemical industry to renewable energy and feedstock supply
requires new paradigms for the design of flexible plants,(bio‐) catalysts, and functional …
requires new paradigms for the design of flexible plants,(bio‐) catalysts, and functional …
An overview of process systems engineering approaches for process intensification: State of the art
Process intensification offers the potential to drastically reduce the energy consumption and
cost of producing chemicals from both bulk and distributed feedstocks. This review article …
cost of producing chemicals from both bulk and distributed feedstocks. This review article …
OMLT: Optimization & machine learning toolkit
The optimization and machine learning toolkit (OMLT) is an open-source software package
incorporating neural network and gradient-boosted tree surrogate models, which have been …
incorporating neural network and gradient-boosted tree surrogate models, which have been …
Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective
Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
ReLU networks as surrogate models in mixed-integer linear programs
B Grimstad, H Andersson - Computers & Chemical Engineering, 2019 - Elsevier
We consider the embedding of piecewise-linear deep neural networks (ReLU networks) as
surrogate models in mixed-integer linear programming (MILP) problems. A MILP formulation …
surrogate models in mixed-integer linear programming (MILP) problems. A MILP formulation …
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 …
Sustainable ammonia production through process synthesis and global optimization
CD Demirhan, WW Tso, JB Powell… - AIChE …, 2019 - Wiley Online Library
Current ammonia production technologies have a significant carbon footprint. In this study,
we present a process synthesis and global optimization framework to discover the efficient …
we present a process synthesis and global optimization framework to discover the efficient …
Locating multiple types of charging facilities for battery electric vehicles
To reduce greenhouse gas emissions in transportation sector, battery electric vehicle (BEV)
is a better choice towards the ultimate goal of zero-emission. However, the shortened range …
is a better choice towards the ultimate goal of zero-emission. However, the shortened range …
Optimal locations and electricity prices for dynamic wireless charging links of electric vehicles for sustainable transportation
Electric vehicles are one of the effective tools for pollution reduction and sustainable
transportation in emerging markets. In this paper, we investigate the optimal locations and …
transportation in emerging markets. In this paper, we investigate the optimal locations and …