Search Results - "Romagnoli, Jose"

Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization by Olayiwola, Teslim, Kumar, Revati, Romagnoli, Jose A.

“…Developing data-driven models has found successful applications in engineering tasks, such as material design, process modeling, and process monitoring. In…”
Get full text

Learning to navigate a crystallization model with Deep Reinforcement Learning by Manee, Vidhyadhar, Baratti, Roberto, Romagnoli, Jose A.

“…•Convolutional Neural Network is used to measure the size distribution of crystals.•Reinforcement Learning is used to learn an optimal control policy.•Removes…”
Get full text

PemNet: A Transfer Learning-Based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems by Briceno-Mena, Luis A, Romagnoli, José A, Arges, Christopher G

“…Widespread adoption of high-temperature electrochemical systems such as polymer electrolyte membrane fuel cells (HT-PEMFCs) requires models and computational…”
Get full text

Data mining and clustering in chemical process databases for monitoring and knowledge discovery by Thomas, Michael C., Zhu, Wenbo, Romagnoli, Jose A.

“…•Popular data clustering and DR techniques compared in extracting fault data.•We consider case studies on simulation data and an industrial separation…”
Get full text

A generalized stochastic modelling approach for crystal size distribution in antisolvent crystallization operations by Baratti, Roberto, Tronci, Stefania, Romagnoli, Jose A.

“…A generalized formulation for the development of stochastic models to predict the crystal size distribution (CSD) in antisolvent crystallization processes is…”
Get full text

Online Optimal Feedback Control of Polymerization Reactors: Application to Polymerization of Acrylamide–Water–Potassium Persulfate (KPS) System by Ghadipasha, Navid, Zhu, Wenbo, Romagnoli, Jose A, McAfee, Terry, Zekoski, Thomas, Reed, Wayne F

“…This paper deals with the design and implementation of optimal real-time control strategies for controlling polymerization reactors in free radical…”
Get full text

A multiobjective optimization framework for design of integrated biorefineries under uncertainty by Geraili, Aryan, Romagnoli, Jose A.

“…A systematic approach for development of a reliable optimization framework to address the optimal design of integrated biorefineries in the face of uncertainty…”
Get full text

On-line control of crystal properties in nonisothermal antisolvent crystallization by Ghadipasha, Navid, Romagnoli, Jose A., Tronci, Stefania, Baratti, Roberto

“…The issues regarding the design and implementation of on‐line optimal control strategies of crystal properties in nonisothermal antisolvent crystallization…”
Get full text

Antisolvent crystallization: Model identification, experimental validation and dynamic simulation by Mostafa Nowee, S., Abbas, Ali, Romagnoli, Jose A.

“…This paper is concerned with the development, simulation and experimental validation of a detailed antisolvent crystallization model. A population balance…”
Get full text

Development of Shale Gas Supply Chain Network under Market Uncertainties by Chebeir, Jorge, Geraili, Aryan, Romagnoli, Jose

“…The increasing demand of energy has turned the shale gas and shale oil into one of the most promising sources of energy in the United States. In this article,…”
Get full text

Stochastic approach for the calculation of anti-solvent addition policies in crystallization operations: An application to a bench-scale semi-batch crystallizer by Galán, Omar, Grosso, Massimiliano, Baratti, Roberto, A. Romagnoli, José

“…This work discusses a stochastic approach for the calculation of robust anti-solvent addition policies for controlling the mean crystal size (MCS) and…”
Get full text

On the Influence of Hydrogen Bond Interactions in Isothermal and Nonisothermal Antisolvent Crystallization Processes by Cogoni, G, Baratti, R, Romagnoli, Jose A

“…The effect of the temperature on the Crystal Size Distribution (CSD) in antisolvent crystallization operation, for systems where the solubility is weakly…”
Get full text

Refinery scheduling of crude oil unloading, storage and processing using a model predictive control strategy by Yüzgeç, Uğur, Palazoglu, Ahmet, Romagnoli, Jose A.

“…A model predictive control (MPC) strategy is presented to determine the optimal control decisions for the short-term refinery scheduling problem. For cases…”
Get full text

Time evolution of the PSD in crystallization operations: An analytical solution based on Ornstein-Uhlenbeck process by Cogoni, Giuseppe, Grosso, Massimiliano, Baratti, Roberto, Romagnoli, Jose A.

“…A new formulation of the recent stochastic approach for the description of the particle‐size distribution (PSD) time evolution in antisolvent crystal‐growth…”
Get full text

Controllability of Semibatch Nonisothermal Antisolvent Crystallization Processes by Cogoni, G, Tronci, S, Baratti, R, Romagnoli, Jose A

“…In this article the problems of input multiplicities arising in the nonisothermal crystallization process is first considered. Using controllability tools it…”
Get full text

Stochastic approach for the prediction of PSD in nonisothermal antisolvent crystallization processes by Cogoni, Giuseppe, Tronci, Stefania, Mistretta, Giuseppe, Baratti, Roberto, Romagnoli, Jose A.

“…A stochastic formulation for the description of cooling‐antisolvent mediated crystal growth processes based on the Fokker‐Planck equation is discussed…”
Get full text

Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques by Briceno-Mena, Luis A., Nnadili, Miriam, Benton, Michael G., Romagnoli, Jose A.

“…Data mining and knowledge discovery (DMKD) focuses on extracting useful information from data. In the chemical process industry, tasks such as process…”
Get full text

Use of Predictive Solubility Models for Isothermal Antisolvent Crystallization Modeling and Optimization by Widenski, David J, Abbas, Ali, Romagnoli, Jose A

“…Predictive solubility models can be of great use for crystallization modeling and optimization, and can decrease the amount of experimental effort needed to…”
Get full text

A Deep Learning Approach on Industrial Pyrolysis Reactor Monitoring by Wenbo Zhu, Yibin Zhan, Jose Romagnoli

“…The pyrolysis process monitoring is always challenging due to the high operating temperature inside a fired furnace. To obtain better understanding of the…”
Get full text

Simulation-based Optimization and Control of a Natural Gas Liquids Recovery Unit by Jorge Chebeir, Santiago Salas, Jose Romagnoli

“…In this work, a simulation-based optimization framework is proposed to determine key decision variables that achieve the most appropriate design and operation…”
Get full text