Personale docente

Fabrizio Bezzo

Professore ordinario


Indirizzo: VIA F. MARZOLO, 9 - PADOVA . . .

Telefono: 0498275468


Fabrizio Bezzo is Associate Professor in Chemical Engineering at the University of Padua.

He received his degree in Chemical Engineering at the University of Padua in 1998 and obtained his PhD at Imperial College London (UK) in 2002. After working as a consultant for PSE Ltd. in London, he eventually joined the Department of Industrial Engineering at the University of Padua. In 2014 he was awarded the Model-Based Innovation Prize for the paper "A model-based approach to the automatic diagnosis of von Willebrand disease". He has served as a consultant on sustainable industrial development for the United Nations Industrial Development Organization (UNIDO). He co-chairs the Energy Section of the European Federation of Chemical Engineers (EFCE).

He is the author of over 170 articles in international research journals, conference proceedings and books. He serves as a reviewer for several international scientific journals.

A list of publications can be found in the attached file.

Download Pubblicazioni_Bezzo.pdf

Fabrizio Bezzo's research interests comprise:

Design and analysis of energy systems:
- optimal design of supply chains for carbon capture, transport and sequestration (CCS)
- design and optimization of processes for biofuels production
- environmental and economic analysis and optimization of energy supply chains
- modelling and optimization of microalgae production systems

Experiment design for model identification:
- development of advanced model-based experiment design techniques
- design of clinical tests for identification of physiological models
- development and identification of biosystems models

Statistical process control:
- data-driven modelling for process and product quality control in the fine chemicals industry
- design space characterization and process scale-up in the pharmaceutical industry

Fabrizio Bezzo co-leads the CAPE-Lab research group.

The titles of some Master's theses concluded in the last few years are listed in the following:

- Design of a chemical looping reactor for the production of syngas from CO2
- Process design and optimization of protein extraction from sunflower meal
- Identification of lyophilization models via sensitivity analysis and optimal design of experiments
- State estimation monitoring of loss-in-weight feeders in the continuous manufacturing of powder-based pharmaceutical products
- Optimization of the carbon capture and sequestration supply chain for the Italian cement industry
- Coupling artificial neural networks and optimal design of experiments for fast recognition of kinetic models from experimental data
- Hybrid modelling of batch bioreactors for mammalian cell cultures
- Application of model discrimination and parameter identification techniques for the development of kinetic models in the pharmaceutical industry
- Multivariate image analysis to estimate microalgae concentration in micro-photobioreactors
- CFD modelling of wet fluidized bed permeability
- Steady-state detection, data reconciliation and machine learning for hybrid process modelling
- Strategic optimisation of a European CCS supply chain considering countries' risk perception towards new technologies
- Model-based design of an optimal clinical test to characterize Type 1 von Willebrand disease
- Design and simulation of hydrogenation processes for CO2 conversion into C-1 chemicals
- Development and experimental validation of a model of food drying via supercritical CO2
- Development of a model-based approach to the characterization and diagnosis of Type 1 von Willebrand disease
- Optimal design of experiments for the identification of kinetic models of HMF hydrogenation
- Model-based optimization of cylindrical photobioreactors for microalgal outdoor cultures
- Use of rigorous thermodynamics in solubility and kinetics models
- Development of a phenomenological model of an adsoption process for capturing CO2 from air
- Design of an efficient CO2 supply system for microalgae growth in microphotobioreactors
- Economic optimisation of a European supply chain for CO2 utilisation and sequestration
- Multiperiod optimisation and strategic planning for chemical processes
- Optimal design of a minimum set of clinical tests for the identification and characterization of von Willebrand disease
- Development of an online model-based flow assurance application to operate subsea natural gas pipeline networks
- Modelling of natural gas sweetening and dehydration processes
- Modelling of an industrial plant for vinyl chloride production
- Optimal design of feasible clinical tests for the identification of physiological models of type 1 diabetes mellitus
- Model development and identification of a pharmacokinetic-pharmacodynamic model for warfarin therapy
- Optimisation of the bioethanol supply chain performance via emission trading schemes
- Bioethanol and bioelectricity for sustainable transport: design and optimisation of production supply chains
- Identification of kinetic models for the catalytic synthesis of formaldehyde through partial oxidation of methanol
- Development of a device for continuous operation in a microphotobioreactor array for microalgae cultivation
- Impact of weather forecast errors in the optimisation of open pond microalgae cultivation systems