Swift Model for Lower Heating Value Prediction Based on Wet-Basis Physical Components of Municipal Solid Waste in Taiwan

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Title:	Swift Model for Lower Heating Value Prediction Based on Wet-Basis Physical Components of Municipal Solid Waste in Taiwan
Authors:	Y. T. Wang C. J. Lin S. P. Li J. C. Wang Y. H. Shen
Contributors:	環境工程與科學系
Keywords:	MSW lower heating value multiple regression analysis prediction equation
Date:	2008-05
Issue Date:	2009-11-27 15:53:32 (UTC+8)
Abstract:	In this study 191 samples of the municipal solid waste (MSW) were gathered at 16 incinerators, located at northern, middle, and southern parts of Taiwan during 2002-2007. Analyses data for the chemical and chemical characteristics of these samples were used to create empirical prediction equations for lower heating value (LHV) of MSW on dry-basis and wet-basis physical component by multiple regression analysis. As a result, dry-basis model (DBM) and wet-basis model (WBM) correlation coefficients are 0.994 and 0989, respectively. To verify the usability of the models, a demonstration program based on sampling of municipal solid waste incinerate (MSWI) at 4 incinerators located at the northern, middle, and southern parts of Taiwan was conducted. Consequently, the DBM showed a little superior precision in terms of relative percentage deviation (RPD) and mean absolute percentage error (MAPE), but WBM can be used to predict the LHV with much more convenience and less time than DBM. Furthermore, when compare these two empirical equations with some other equations presented in some textbooks of the solid waste management, the Mean MAPE of these two equations is better than those of the other equations. It was concluded that empirical models of DBM and WBM present in this study can afford a better predictability for the LHV prediction of MSW in Taiwan.
Relation:	2008 International Conference on Environmental Quality Concern,Control and Conservation，起迄日：2008/5/23~2008/5/24，地點：Chia Nan University of pharmacy and Science
Appears in Collections:	[Dept. of Environmental Engineering and Science (including master's program)] Proceedings

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