[HTML][HTML] Spatial trade-offs between ecological and economical sustainability in the boreal production forest
Economically-oriented forestry aims to sustain timber harvest revenues, while ecologically-
oriented management supplies suitable habitat for species using deadwood as primary …
oriented management supplies suitable habitat for species using deadwood as primary …
A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region map**
Optimization of cyclic adsorption processes is a challenging issue due to the dynamic-
operating complexity of these processes. In this context, this work proposes a new approach …
operating complexity of these processes. In this context, this work proposes a new approach …
A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process …
The present work proposes a novel strategy for simultaneous material screening and
process optimization. This strategy is based on the capacities of deep neural networks to …
process optimization. This strategy is based on the capacities of deep neural networks to …
Assuring optimality in surrogate‐based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization
Surrogate‐based optimization has gained significant traction in several engineering fields,
given its ability to handle complex systems without significant computational burdens …
given its ability to handle complex systems without significant computational burdens …
From a Pareto front to Pareto regions: A novel standpoint for multiobjective optimization
This work presents a novel approach for multiobjective optimization problems, extending the
concept of a Pareto front to a new idea of the Pareto region. This new concept provides all …
concept of a Pareto front to a new idea of the Pareto region. This new concept provides all …
Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making
This study presents a methodology for surrogate optimization of cyclic adsorption processes,
focusing on enhancing pressure swing adsorption units for carbon dioxide (CO 2) capture …
focusing on enhancing pressure swing adsorption units for carbon dioxide (CO 2) capture …
A hybrid modeling framework for membrane separation processes: Application to lithium-ion recovery from batteries
MJ Regufe, VV Santana, AFP Ferreira, AM Ribeiro… - Processes, 2021 - mdpi.com
This study proposed a hybrid modeling framework for membrane separation processes
where lithium from batteries is recovered. This is a pertinent problem nowadays as lithium …
where lithium from batteries is recovered. This is a pertinent problem nowadays as lithium …
[HTML][HTML] An integrated approach for parameter estimation of a propyl propionate synthesis model
AN Prudente, RVA Santos, AM Ribeiro… - … Research and Design, 2024 - Elsevier
This paper introduces an innovative approach to the ProPro synthesis process, aiming to
improve the modeling and parameter estimation by integrating and optimizing existing …
improve the modeling and parameter estimation by integrating and optimizing existing …
Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps
The current methods applied to material screening for adsorption-based heat pumps are
based on a fixed set of temperatures or their independent variation, providing a limited …
based on a fixed set of temperatures or their independent variation, providing a limited …
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality …
VV Santana, MAF Martins, JM Loureiro, AM Ribeiro… - ACS …, 2023 - ACS Publications
Model-based optimization of simulated moving bed reactors (SMBRs) requires efficient
solvers and significant computational power. Over the past years, surrogate models have …
solvers and significant computational power. Over the past years, surrogate models have …