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Jose Loyola-Fuentes
Jose Loyola-Fuentes
Postgraduate Research Student, The University of Manchester
Verified email at manchester.ac.uk - Homepage
Title
Cited by
Cited by
Year
Data reconciliation and gross error detection in crude oil pre-heat trains undergoing shell-side and tube-side fouling deposition
J Loyola-Fuentes, R Smith
Energy 183, 368-384, 2019
312019
Machine learning algorithms for flow pattern classification in pulsating heat pipes
J Loyola-Fuentes, L Pietrasanta, M Marengo, F Coletti
Energies 15 (6), 1970, 2022
212022
A framework for data regression of heat transfer data using machine learning
J Loyola-Fuentes, N Nazemzadeh, E Diaz-Bejarano, S Mancin, F Coletti
Applied Thermal Engineering, 123043, 2024
142024
Fouling in heat exchanger networks
R Smith, J Loyola-Fuentes, M Jobson
Chemical Engineering Transactions 61, 1789-1794, 2017
112017
Numerical study of reciprocal flow porous media burners coupled with thermoelectric generation
L Henriquez-Vargas, J Loyola, D Sanhueza, P Donoso-Garcia
Journal of Porous Media 18 (3), 2015
92015
Classification and estimation of unmeasured process variables in crude oil pre-heat trains subject to fouling deposition
J Loyola-Fuentes, R Smith
Computers & Chemical Engineering 137, 106779, 2020
82020
Estimation of fouling model parameters for shell side and tube side of crude oil heat exchangers using data reconciliation and parameter estimation
J Loyola-Fuentes, M Jobson, R Smith
Industrial & Engineering Chemistry Research 58 (24), 10418-10436, 2019
82019
Fouling modelling and mitigation for crude oil heat exchanger networks using reconciled operating data
J Loyola-Fuentes, M Jobson, R Smith
Chemical Engineering Transactions 70, 193-198, 2018
72018
Fouling modelling in crude oil heat exchanger networks using data reconciliation and estimation of unmeasured process variables
J Loyola-Fuentes, M Jobson, R Smith
Computer Aided Chemical Engineering 46, 1033-1038, 2019
52019
Fouling modelling in crude oil preheat systems
J Loyola-Fuentes, R Smith, M Jobson
Computer Aided Chemical Engineering 40, 409-414, 2017
52017
Application of Machine Learning Algorithms to Predict the Condensation Heat Transfer Coefficient Inside Microfin Tubes
J Loyola-Fuentes, S Mancin, E Diaz-Bejarano, F Coletti
International Heat Transfer Conference Digital Library, 2023
12023
THE ECONOMIC IMPACT OF BETTER HEAT EXCHANGER CLEANING ON AN OIL REFINERY–THEORETICAL, EXPECTED AND ACTUAL RESULTS.
BN Kieser, R Tomotaki, J Loyola-Fuentes, E Diaz-Bejarano, F Coletti
Heat Exchanger Fouling & Cleaning Conference, Wagrain, Austria, 2022
12022
Low Cost Retrofit Methods for Heat Exchanger Networks
R Smith, MO Akpomiemie
Computer Aided Chemical Engineering 40, 1789-1794, 2017
12017
A Machine-Learning-Based Framework for Data Regression of Heat Transfer Data
J Loyola-Fuentes, N Nazemzadeh, ED Bejarano, S Mancin, F Coletti
2024 Spring Meeting & 20th Global Congress on Process Safety, 2024
2024
Data Reconciliation and Gross Error Detection in Industrial Processes: State of the Art and Focus on Heat Transfer
J Loyola-Fuentes, E Diaz-Bejarano, C Planelles, F Coletti
Authorea Preprints, 2023
2023
A techno-economic analysis of energy efficiency and CO2 emissions in bioethanol production due to fouling
ED Bejarano, J Loyola-Fuentes, M Martin, F Coletti, C Prieto
2023 Spring Meeting & 19th Global Congress on Process Safety, 2023
2023
Estimation of Fouling Threshold Parameters for Crude Oil Heat Exchanger Networks Using Data Reconciliation and Gross Error Detection
J Loyola-Fuentes, R Smith
2019 Spring Meeting and 15th Global Congress on Process Safety, 2019
2019
Data Reconciliation and Gross Error Detection for Fouling Modelling in Crude Oil Heat Exchanger Networks
JI Loyola-Fuentes
PQDT-Global, 2019
2019
Fouling Modelling for Crude Oil Heat Exchanger Networks
J Loyola-Fuentes, R Smith, M Jobson
2017 AIChE Annual Meeting, 2017
2017
ROBUST DATA RECONCILIATION AND GROSS ERROR DETECTION IN AN INDUSTRIAL PREHEAT TRAIN
J Loyola-Fuentes, T Acerbi, C Planelles, E Diaz-Bejarano, P Facco, ...
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