DocumentCode :
3647145
Title :
Pollutant emissions empirical modelling of energy systems for external cost determination
Author :
Lucyna Czarnowska;Michał Budnik;Wojciech Stanek
Author_Institution :
Silesian University of Technology, Institute of Thermal Technology, Gliwice, Poland
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
91
Lastpage :
96
Abstract :
All production processes generate pollution and cause damages to the environment as well as the society. Investigation of the influence of operational parameters of energy systems on formation of cost of pollutants requires the application of emissions modeling. Due to the fact that modeling based on physical phenomenon is very complicated and requires often long time of computational time, the empirical techniques can be applied. The results of identification and verification of emission empirical models (regression and neural) are presented in the paper. The possibilities of application of these models for environmental costing is discussed.
Keywords :
"Neurons","Biological neural networks","Computational modeling","Data models","Biological system modeling","Calibration","Mathematical model"
Publisher :
ieee
Conference_Titel :
Carpathian Control Conference (ICCC), 2012 13th International
Print_ISBN :
978-1-4577-1867-0
Type :
conf
DOI :
10.1109/CarpathianCC.2012.6228622
Filename :
6228622
Link To Document :
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