A Predictive Tool for Monitoring, Diagnosing and Treating Heat Exchanger Fouling
Vijaysai Prasad, Mark Osborn, Shirley S. Au, Sunil S. Shah, Nishith Vora, Alan B. Carlisle, Charles R. Ascolese, G. E. Geiger
Abstract
Vijaysai Prasad, Mark Osborn, Shirley S. Au, Sunil S. Shah, Nishith Vora, Alan B. Carlisle, Charles R. Ascolese, G. E. Geiger
Abstract
Abstract Heat exchanger fouling exacts a significant economic penalty to chemical manufacturers in terms of lost capacity, energy, equipment replacement and maintenance costs. This paper discusses a systematic approach to develop a real-time/near real-time digital window to continuously detect and predict heat exchanger performance degradation. The architecture developed uses a synergistic blend of first principles models, statistics and expert knowledge to capture fouling trends and provide suitable treatment. The approach is demonstrated on case studies of two industrial heat exchangers.
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Abstract Heat exchanger fouling exacts a significant economic penalty to chemical manufacturers in terms of lost capacity, energy, equipment replacement and maintenance costs. This paper discusses a systematic approach to develop a real-time/near real-time digital window to continuously detect and predict heat exchanger performance degradation. The architecture developed uses a synergistic blend of first principles models, statistics and expert knowledge to capture fouling trends and provide suitable treatment. The approach is demonstrated on case studies of two industrial heat exchangers.
Key concepts: Fouling, Heat exchanger, Materials science, Process engineering, Nuclear engineering, Metallurgy, Mechanical engineering, Chemistry