• 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