|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Energy Materials 2017: Energy and Environmental Issues in Materials Manufacturing and Processing
||Prediction and Optimal Scheduling of Byproduct Gases in Steel Mill: Trends and Challenges
||Xiancong Zhao, Hao Bai, Qi Shi, Zhancheng Guo
|On-Site Speaker (Planned)
Byproduct gases generated during the iron and steel making process are important energy sources in steel plant, which accounted for 40% of total energy consumption. With the increasing need for production cost control in steel industry, the refined management of byproduct gases has become prominent. The prediction and optimal scheduling of byproduct gases are two key factors in optimal management of byproduct gases. However, due to the complexity and dispersivity of byproduct gas generation and consumption, it is it difficult to build a comprehensive and reasonable prediction and scheduling model. This paper reviews current methods in the prediction and scheduling of byproduct gas system and discusses some of the factors and opportunities in improving the model. Emerging trends that are likely to influence the current or future byproduct gas prediction and scheduling are also discussed.
||Planned: Stand-alone book in which only your symposium’s papers would appear (indicate title in comments section below)