Abstract
Flammability data is needed to assess the risk of fire and explosions. This study presents a new group contribution (GC) model to predict the upper flammability limit UFL oforganic chemicals. Furthermore, it provides a systematic method for outlier treatment inorder to improve the parameter estimation of the GC model. The new method identifies and removes outliers based on the empirical cumulative distribution plot. It is compared to outlier detection based on Cook’s distance and normal cumulative distribution.
Original language | English |
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Title of host publication | Proceedings of the 25th European Symposium on Computer Aided Process Engineering |
Editors | Krist V. Gernaey, Jakob K. Huusom, Rafiqul Gani |
Publisher | Elsevier |
Publication date | 2015 |
Pages | 503-508 |
ISBN (Print) | 978-0-444-63429-0 |
DOIs | |
Publication status | Published - 2015 |
Event | 25th European Symposium on Computer Aided Process Engineering : 12th International Symposium on Process Systems Engineering - Copenhagen, Denmark Duration: 31 May 2015 → 4 Jun 2015 http://www.pse2015escape25.dk/ |
Conference
Conference | 25th European Symposium on Computer Aided Process Engineering |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 31/05/2015 → 04/06/2015 |
Internet address |
Series | Computer Aided Chemical Engineering |
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Volume | 37 |
ISSN | 1570-7946 |
Keywords
- Outlier treatment
- Flammability limit
- Group contribution