@article{alves2024,doi={10.21105/joss.05966},year={2024},publisher={The Open Journal},volume={9},number={94},pages={5966},author={Alves, Victor and Dinh, San and Kitchin, John R. and Gazzaneo, Vitor and Carrasco, Juan C. and Lima, Fernando V.},title={Opyrability: A Python package for process operability analysis},journal={Journal of Open Source Software},}
On the selection of control structures using process operability analysis
This work aims to develop a generalizable framework for control structure selection using process operability analysis. Current approaches for selecting controlled variables in chemical processes are limited to assessing system attributes individually, focusing on controller performance or the economic impact based on a constant setpoint policy. However, the competitive industrial manufacturing market requires a holistic approach for control structure selection in large-scale plants that takes into account multiple factors. In particular, process operability can help to enable a generalizable approach that is able to select control structures that are operable considering economic and performance factors simultaneously. To achieve this goal, a framework that uses the Operability Index (OI) as a metric for ranking the achievability of the control objectives for the selected control structures is developed. To test the framework, a depropanizer distillation column is investigated as a case study associated with large-scale energy systems. This work thus introduces novel formulations and algorithms for the control structure selection problem, enhancing the design, operations, and synthesis of existing and future industrial systems.
@article{alves2024b,title={On the selection of control structures using process operability analysis},journal={Control Engineering Practice},volume={153},pages={106117},year={2024},issn={0967-0661},doi={https://doi.org/10.1016/j.conengprac.2024.106117},url={https://www.sciencedirect.com/science/article/pii/S0967066124002764},author={Alves, Victor and Lima, Fernando V.},keywords={Process operability, Plantwide control, Control structure selection, Control design, Process control},}
2023
An inverse mapping approach for process systems engineering using automatic differentiation and the implicit function theorem
@article{alves2023inverse,title={An inverse mapping approach for process systems engineering using automatic differentiation and the implicit function theorem},author={Alves, Victor and Kitchin, John R and Lima, Fernando V},journal={AIChE Journal},pages={e18119},year={2023},publisher={John Wiley \& Sons, Inc. Hoboken, USA},video={https://www.youtube.com/live/UAIUSr4TzBk?feature=share},}
Techno-economic Analysis and Optimization of Intensified, Large-Scale Hydrogen Production with Membrane Reactors
Dean M. Sweeney, Victor Alves, Savannah Sakhai, San Dinh, and 1 more author
@article{sweeney23,author={Sweeney, Dean M. and Alves, Victor and Sakhai, Savannah and Dinh, San and Lima, Fernando V.},title={Techno-economic Analysis and Optimization of Intensified, Large-Scale Hydrogen Production with Membrane Reactors},journal={Industrial \& Engineering Chemistry Research},volume={62},number={46},pages={19740-19751},year={2023},doi={10.1021/acs.iecr.3c02045},eprint={https://doi.org/10.1021/acs.iecr.3c02045},}
2022
A machine learning-based process operability framework using Gaussian processes
@article{alves2022machine,title={A machine learning-based process operability framework using Gaussian processes},author={Alves, Victor and Gazzaneo, Vitor and Lima, Fernando V},journal={Computers \& Chemical Engineering},volume={163},pages={107835},year={2022},publisher={Elsevier},}
2020
Metacontrol: A Python based application for self-optimizing control using metamodels
Felipe Souza Lima, Victor Manuel Cunha Alves, and Antonio Carlos Brandao Araujo
@article{lima2020metacontrol,title={Metacontrol: A Python based application for self-optimizing control using metamodels},author={Lima, Felipe Souza and Alves, Victor Manuel Cunha and Araujo, Antonio Carlos Brandao},journal={Computers \& Chemical Engineering},volume={140},pages={106979},year={2020},publisher={Elsevier},}
2018
Metamodel-based numerical techniques for self-optimizing control
Victor MC Alves, Felipe S Lima, Sidinei K Silva, and Antonio CB Araujo
@article{alves2018metamodel,title={Metamodel-based numerical techniques for self-optimizing control},author={Alves, Victor MC and Lima, Felipe S and Silva, Sidinei K and Araujo, Antonio CB},journal={Industrial \& Engineering Chemistry Research},volume={57},number={49},pages={16817--16840},year={2018},publisher={ACS Publications},}
