Data Analytics for Process Engineers: Prediction, Control and Optimization

Author:   Daniela Galatro ,  Stephen Dawe
Publisher:   Springer International Publishing AG
ISBN:  

9783031468681


Pages:   145
Publication Date:   21 December 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $90.54 Quantity:  
Add to Cart

Share |

Data Analytics for Process Engineers: Prediction, Control and Optimization


Add your own review!

Overview

Full Product Details

Author:   Daniela Galatro ,  Stephen Dawe
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031468681


ISBN 10:   3031468686
Pages:   145
Publication Date:   21 December 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Sources of Data.- Exploratory Data Analysis.- Data-based modelling for prediction.- Data-based modelling for control.- Optimization.- Final remarks.

Reviews

Author Information

Daniela Galatro is a Chemical Engineer (Ph.D. and MSc. in Mechanical Engineer) with more than 21 years of experience in the design, optimization, start-up, and operation of chemical production plants in Engineering Procurement and Construction (EPC) and manufacturing companies, as well as flow assurance, data analysis, machine learning, and computer process modelling and simulation. During her process engineering career, she increased several chemical processes' throughput, reliability, and quality. She contributed to reducing environmental impact for her employer and customers in the petrochemical, oil and gas, and refining industries. She has extensive experience abroad, including in Canada, Germany, China, Russia, and Venezuela. She is an Assistant Professor, Teaching Stream in the Department of Chemical Engineering & Applied Chemistry at the University of Toronto, Canada. She teaches Heat and Mass Transfer, Petroleum Processing, Plant Design, and Data-based Modelling for Predictionand Control. Her research includes mapping Education 4.0 and Industry 4.0, using machine learning techniques to map and track contaminants with geoelectrical surveys, and evaluating potential causes of health risk factors. She has supervised several graduate students of the Magister Engineering program, with projects involving predictive analytics and multi-objective optimization in process engineering (sulfur recovery units and amine treatment units). Stephen Dawe is a Chemical Engineer (M.Eng. in Chemical Engineering) with an emphasis on data analytics and process engineering. He currently works as a process engineer in designing and optimizing chemical processes.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

RGJUNE2025

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List