کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
569390 876597 2007 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Air pollutant emissions prediction by process modelling – Application in the iron and steel industry in the case of a re-heating furnace
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
Air pollutant emissions prediction by process modelling – Application in the iron and steel industry in the case of a re-heating furnace
چکیده انگلیسی

Monitoring air pollutant emissions of large industrial installations is necessary to ensure compliance with environmental legislation. Most of the available measurement techniques are expensive, and measurement conditions such as high-temperature emissions, difficulty of access, are often difficult. That is why legislation can not impose a permanent emission monitoring in many countries. The possibility to replace it with predictive models based on the routine measurements of the main control parameters of the installation is analysed in this paper. In order to identify these models, a special measurement campaign of emissions must be performed or, alternatively, a deterministic modelling of the process can be developed. This study was carried out in the case of a real installation in the steel industry i.e. a billet re-heating furnace. Physical phenomena involved in combustion within the furnace were complex enough to prefer an empirical black-box modelling of the furnace over a deterministic approach. A 3-week monitoring campaign of fume emissions at the stack was performed; furnace process parameters during the same period were available. The relationship between CO2 emissions and furnace process parameters could successfully be expressed linearly, while NO2 emission modelling required a non-linear model. Artificial neural networks modelling revealed a good ability to predict NO2 and CO2 emissions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 22, Issue 9, September 2007, Pages 1362–1371
نویسندگان
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