1. Advances in Process Control with Real Applications
Author: Ch. Venkateswarlu
Publisher: Elsevier
Overview: This book delves into the latest advancements in process control, emphasizing real-world applications. It covers modern control strategies, automation, and optimization techniques essential for enhancing efficiency in chemical processes.
2. Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value
Editors: Kishor Kumar Sadasivuni, Nebojsa Bacanin, Jaehwan Kim, et al.
Publisher: Elsevier
Overview: This comprehensive volume explores the integration of automation and machine learning in resource recovery processes. It highlights innovative approaches to converting waste into valuable resources, promoting sustainability in the chemical industry.
3. Chemical Engineering Analysis and Optimization Using MATLAB
Authors: Weiguo Xie, Sam Toan, Richard Davis
Publisher: Wiley
Overview: This practical guide focuses on applying MATLAB for analyzing and optimizing chemical engineering processes. It provides hands-on examples and case studies, making complex concepts accessible for students and professionals.
4. Sustainable Design Through Process Integration: Fundamentals and Applications to Industrial Pollution, Conservation and Profitability Enhancement
Author: Mahmoud M. El-Halwagi
Publisher: Elsevier
Overview: El-Halwagi's work emphasizes the importance of process integration in achieving sustainability. It discusses strategies for reducing industrial pollution, conserving resources, and enhancing profitability through integrated design approaches.
5. AI in Chemical Engineering: Unlocking the Power Within Data
Authors: Jose Romagnoli, Luis Briceno-Mena, Vidhyadhar Manee
Publisher: CRC Press
Overview: This book explores the transformative role of artificial intelligence in chemical engineering. It covers data-driven methodologies for process optimization, predictive maintenance, and decision-making, highlighting the synergy between AI and chemical engineering practices.