MODEL BASED OPTIMIZATION CONTROLS IMPROVE BCTMP PULP QUALITY AND REDUCE ENERGY CONSUMPTION

摘要：

This paper describes the application of an advanced control system which was implemented at Mreal’s Joutseno site. The objectives were to reduce pulp quality variability and, most importantly, reduce operating costs by minimizing the specific energy consumption. The control system includes several software sensors, two model predictive controllers, and utilizes a new pulp quality on-line analyzer. The control system has an optimization layer, a tool that enables the process to run at a cost effective operating point while simultaneously achieving the quality targets. Results of the project were very positive and all objectives in terms of quality and costs were exceeded.

关键词： Model predictive control BCTMP Optimization Energy reduction Pulp quality control

作者: Samuli Lehtonen Miika Sinkko Gregory Fralic

作者单位: Metso Automation,P.O.Box 237,FI-33101 Tampere,Finland M-real, P.O.Box 20,FI-02020 Mets? Finland

会议类型: 国际会议

会议名称: International Mechanical Pulping Conference 2011(2011国际机械浆学术会议)

会议地点: 西安

会议语种:英文

页码: 531-534

在线出版日期: 2011-06-26（万方平台首次上网日期，不代表论文的发表时间）