Real Time Artificial Intelligence Control And Optimization Of A Full Scale Wtp

Real-time Artificial Intelligence Control and Optimization of a Full-scale WTP

This study shows that advanced artificial neural network (ANN) model-based control systems can be used for drinking water treatment process control. ANN technology, an artificial intelligence technology that has the ability to learn patterns and relationships contained in sets of data, is the most powerful modeling tool currently available to the drinking water treatment industry. ANN predicts the output of a process given the values of process inputs and process control variables. The results of this project have the potential to revolutionize the way in which drinking water utilities optimize and control their unit processes to efficiently and consistently supply high quality drinking water

Artificial Intelligence Systems for Water Treatment Plant Optimization

Valorization of Biomass to Value-Added Commodities

This book presents the most up-to-date technologies for the transformation of biomass into valuable fuels, chemicals, materials, and products. It provides comprehensive coverage of the characterization and fractionation of various types of biomass and details the many challenges that are currently encountered during this process. Divided into two sections, this book discusses timely topics such as the characterization of biomass feedstock, pretreatment and fractionation of biomass, and describes the process for conversion of biomass to value-added commodities. The authors bring biomass transformational strategies that are yet to be explored to the forefront, making this innovative book useful for graduate students and researchers in academia, government, and industry.