Combustion Optimization Based on Computational Intelligence

  • Hao Zhou
  • Kefa Cen

Part of the Advanced Topics in Science and Technology in China book series (ATSTC)

Table of contents

About this book

Introduction

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 areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.


Keywords

ATSTC Carbon Burnout Combustion Optimization Computational Intelligence NOx Emission ZJUP

Authors and affiliations

  • Hao Zhou
    • 1
  • Kefa Cen
    • 2
  1. 1.Zhejiang UniversityZhejiang UniversityHangzhouChina
  2. 2.Institute for Thermal Power EngineeringZhejiang UniversityHangzhouChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-7875-0
  • Copyright Information Springer Nature Singapore Pte Ltd. and Zhejiang University Press, Hangzhou 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-10-7873-6
  • Online ISBN 978-981-10-7875-0
  • Series Print ISSN 1995-6819
  • Series Online ISSN 1995-6827
  • About this book
Industry Sectors
Energy, Utilities & Environment
Oil, Gas & Geosciences