This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the...

This book presents the latest multi-pollutant (mainly NOx, SOx, particulate matter, heavy metals) control technologies for flue gases and the applications in coal-fired power plants. Pollutant control by catalytic, electric, and absorption methods, the multi-pollutant removal system and its performance evaluation are systematically introduced. This book is a valuable reference for researchers and practitioners in environmental science & engineering, energy power engineeri...