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GRICU PhD School 2021 | Digitalization Tools for the Chemical and Process Industries

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Online Event (Cisco Webex Virtual Room)

Online Event

Cisco Webex Virtual Room
Maurizio Masi (Politecnico di Milano - Dipartimento di Chimica, Materiali e Ingegneria Chimica) , Flavio Manenti (Politecnico di Milano) , Valerio Cozzani (Università di Bologna - Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali)
Description

The wide diffusion of IT technologies and broadband connectivity is fostering a revolution in industrial production processes. Industry 4.0 is introducing huge modifications in the design, operation and maintenance of chemical processes. Digitalization and data analytics are opening new opportunities for advanced process control, production planning, diagnostics, and safety of production systems, as well as for research and development addressing new processes and products. Future job opportunities will more and more require understanding of such panorama and mastering the prospects provided by this transformation.

This virtual school is organized by GRICU to provide Ph.D. students in Chemical Engineering an introduction to methods and tools for digitalization, data analytics and advanced process control. The school is open also to M.Sc. students in Chemical Engineering and to young professionals. Conventional lectures, assignments and specific case-studies will be available to participants. A final round-table with company professionals from different fields will conclude the school.

Brochure_GRICU_PhD_School_2021.pdf
Contributions_GRICU_PhD_School_2021.pdf
Timetable_GRICU_PhD_School_2021.pdf
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Contacts
  • Thursday, 11 March
    • 14:00 → 18:00
      Day 1: Fundamentals of Digitalization
      • 14:00
        Data’s Explosion and Digitalization: The Future We Have Ahead 1h
        Speaker: Prof. Maurizio Fermeglia (Università degli Studi di Trieste - Department of Engineering and Architecture)
        2021_GRICU-PHD_MF.pdf
      • 15:00
        Fundamentals of statistics: The First Step Towards the Data Mining 1h
        Speaker: Prof. Massimiliano Grosso (Università degli Studi di Cagliari - Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali)
        1_2 Fundamentals of Statistics.pdf
      • 16:00
        Fundamentals of Process Dynamics and Control in the Perspective of Digitalization 1h
        Speaker: Prof. Giacomo Antonioni (Università di Bologna - Department of Civil, Chemical, Environmental, and Materials Engineering)
        1.3 Antonioni.pdf
        resuts of online survey.pdf
      • 17:00
        Introduction to the Design of Experiments (DoE) 1h
        Speaker: Prof. Pierantonio Facco (Università degli Studi di Padova - Department of Industrial Engineering)
        Facco_Lesson1_GRICUPhDschool2021.pdf
  • Friday, 12 March
    • 14:00 → 18:05
      Day 2: Data Analytics and Systems Identification
      • 14:00
        Data Analytics for Dimensionality Reduction: Principal Component Analysis (PCA) 1h
        Speaker: Prof. Massimiliano Grosso (Università degli Studi di Cagliari - Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali)
        2_4 Principal Component Analysis (PCA).pdf
        Supporting material and case studies
      • 15:00
        Data Analytics for Regression and Classification: Projection on Latent Structures (PLS) 1h
        Speaker: Prof. Pierantonio Facco (Università degli Studi di Padova - Department of Industrial Engineering)
        Facco_Lesson2_GRICUPhDschool2021.pdf
      • 16:00
        Systems Identification: Linear Methods 1h
        Speaker: Prof. Davide Fissore (Politecnico di Torino - Department of Applied Science and Technology)
        2.3 System Identification - Linear methods.pdf
        Example.zip
      • 17:00
        Systems Identification: Subspace and Nonlinear Methods 1h
        Speaker: Prof. Riccardo Bacci di Capaci (Università di Pisa - Dipartimento di Ingegneria Civile e Industriale)
        2_4-SYS_ID-SIDeNLM_full.pdf
        2_4-SYS_ID-SIDeNLM.pdf
  • Thursday, 18 March
    • 14:00 → 18:00
      Day 3: Machine Learning and Digital Twins
      • 14:00
        Introduction to Machine Learning and Potential Applications to Chemical Engineering 1h
        Speaker: Prof. Massimiliano Maria Villone (Università degli Studi di Napoli Federico II - Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale)
        Lecture3_1.pdf
      • 15:00
        Artificial Neural Networks (ANN) 1h

        Didactic material blocked,
        PENDING PRIVACY STATEMENT from Prof. Manca

        Speaker: Prof. Davide Manca (Politecnico di Milano - Dipartimento Di Chimica, Materiali e Ingegneria Chimica "Giulio Natta")
        Davide Manca - Artificial neural networks.pdf
      • 16:00
        Data Reconciliation: What Is the Real Operating Condition? 1h
        Speaker: Prof. Flavio Manenti (Politecnico di Milano - Dipartimento Di Chimica, Materiali e Ingegneria Chimica "Giulio Natta")
        3.3 - Flavio Manenti.pdf
        3.3 - Flavio Manenti - Supplementary Material.pdf
      • 17:00
        Unifying Digitalization Pillars: A Digital Twin Demo 1h
        Speaker: Prof. Flavio Manenti (Politecnico di Milano - Dipartimento Di Chimica, Materiali e Ingegneria Chimica "Giulio Natta")
        3.4 - Flavio Manenti.pdf
  • Friday, 19 March
    • 14:00 → 18:00
      Day 4: Decision Making
      • 14:00
        Model Predictive Control 1h
        Speaker: Prof. Davide Fissore (Politecnico di Torino - Department of Applied Science and Technology)
        4.1 Model Predictive Control.pdf
      • 15:00
        Steady-State Real-Time Optimization 1h
        Speaker: Prof. Gabriele Pannocchia (Università di Pisa - Dipartimento di Ingegneria Civile e Industriale)
        slides_RTO.pdf
      • 16:00
        Dynamic Real-Time Optimization 1h
        Speaker: Prof. Gabriele Pannocchia (Università di Pisa - Dipartimento di Ingegneria Civile e Industriale)
        slides_DRTO.pdf
      • 17:00
        Round Table: An Industrial Perspective on Digitalization (Presentation by CAPE WP Chairman Prof. Manenti Politecnico di Milano; Moderator Prof. Maurizio Fermeglia, Università degli Studi di Trieste; Industry: GSK, CSI Automation, BASF, Schneider-Electric) 1h
        Speakers: Prof. Flavio Manenti (Politecnico di Milano) , Dr Gabriele Bano (GSK - Digital Design Implementation Lead) , Dr Mattia Vallerio (BASF SE - Advanced Data Analytic Team Lead) , Prof. Maurizio Fermeglia (Università degli Studi di Trieste - Department of Engineering and Architecture) , Dr Maurizio Galardo (AVEVA / Schneider-electric - Chief Technologist XR | Visualization) , Dr Thomas A. Badgwell (Collaborative Systems Integration - Chief Technology Officer)
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