Review of extractive distillation. Process design, operation, optimization and control
Extractive distillation processes enable the separation of non-ideal mixtures, including
minimum or maximum boiling azeotropes and low relative volatility mixtures. Unlike …
minimum or maximum boiling azeotropes and low relative volatility mixtures. Unlike …
[KSIĄŻKA][B] From Safety to Safety Science: The Evolution of Thinking and Practice
How do accidents and disasters occur? How has knowledge of accident processes
evolved? A significant improvement in safety has occurred during the past century, with the …
evolved? A significant improvement in safety has occurred during the past century, with the …
Optimal synthesis and design of catalytic distillation columns: A rate-based modeling approach
This work presents the optimal synthesis and design of a rigorous catalytic distillation (CD)
column that explicitly considers the multiscale and multiphase nature of this intensification …
column that explicitly considers the multiscale and multiphase nature of this intensification …
Interpretable Machine learning model for predicting Ethane-Ethylene composition in binary distillation process
Accurate prediction of ethane and ethylene compositions in binary distillation columns is
critical for optimizing industrial separation processes. Traditional modeling approaches often …
critical for optimizing industrial separation processes. Traditional modeling approaches often …
Design and optimization of HIDiC columns using a constrained Boltzmann-based estimation of distribution algorithm-evaluating the effect of relative volatility
R Gutiérrez-Guerra, R Murrieta-Dueñas… - … and Processing: Process …, 2016 - Elsevier
In this paper we study the design and optimization of heat-integrated distillation columns
(HIDiC) using a constrained Boltzmann-based estimation of distribution algorithm. The total …
(HIDiC) using a constrained Boltzmann-based estimation of distribution algorithm. The total …
Development of a mass transfer model for the rate-based simulation of a batch distillation column
The rate-based model for distillation computes mass and heat transfer rates, allowing better
predictions of the performance of the columns. Nevertheless, one of the fundamental issues …
predictions of the performance of the columns. Nevertheless, one of the fundamental issues …
Process optimization using a dynamic self-adaptive constraint handling technique coupled to a Differential Evolution algorithm
Nowadays, chemical processes are projected to obtain their best performance in energy and
water consumption, pollutant emissions and total annual costs, while still meeting quality of …
water consumption, pollutant emissions and total annual costs, while still meeting quality of …
[HTML][HTML] Multiobjective Optimization of Chemical Processes with Complete Models using MATLAB and Aspen Plus
The design of chemical processes has to consider the delivery of products with high quality,
minimum energy requirements and minimum impact to the environment. In order to design …
minimum energy requirements and minimum impact to the environment. In order to design …
Design and optimization of heat-integrated distillation configurations with variable feed composition by using a Boltzmann-based estimation of distribution algorithm as …
R Gutiérrez-Guerra, R Murrieta-Dueñas… - … Research and Design, 2017 - Elsevier
The economic, energetic, and environmental performance of heat-integrated distillation
columns used to separate close-boiling mixtures with variable feed composition is …
columns used to separate close-boiling mixtures with variable feed composition is …
[PDF][PDF] Examining Committee Membership
NM Abukhdeir - 2024 - uwspace.uwaterloo.ca
This PhD thesis presents the development and application of new optimization models and
algorithms for the solution of relevant Mixed Integer Nonlinear Programming (MINLP) and …
algorithms for the solution of relevant Mixed Integer Nonlinear Programming (MINLP) and …