摘要(英) |
Boiler is the major source to provide the thermal energy, hot water, steam, and power generation for the manufacturing processes of modern industries, which is widely used in steam-electricity cogeneration plant, process heating of chemical industry, paper manufacturing industry, sterilization processes of food industry, dyeing processes of textile industry, cleaning processes of electronic industry, etc. Hence, how to develop a smart boiler that could improve boiler efficiency and reduce emissions via the feedback control is an important economic and environmental issue. This paper has developed data-driven models from hot-water boiler, which has two important performance index of boiler, heat efficiency and NOx emission. Genetic Algorithm is applied to find the better control parameters of the boiler, which help improve the performance of the boiler. |
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