Optimizing Boiler Operations through Adaptive Modeling of Advanced Process Control

摘要

Distributed control systems and programmable logic controllers have long been used to regulate power plant operations, but advanced techniques that have been proven in refining and other industries are widely underexploited in power generation. Techniques such as modeling (both empirical- and first-principle-based); optimization through the use of linear programming and non-linear programming techniques; soft sensors; model predictive control; neural nets; and fuzzy logic have been effective in the power industry. However, they haven't been applied as extensively as one might expect, given thebenefits that have been realized.