Modeling the heating value of Municipal Solid Waste

Modeling the heating value of Municipal Solid Waste

The most common methods currently being practiced to evaluate the heating value of Municipal Solid Waste (MSW) are by using the equation derived by Dulong, or experimentally by using the bomb calorimeter. There have been numerous other mathematical equations, which were created based on data from th...

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Bibliographic Details
Published in:Fuel (Guildford) Vol. 82; no. 9; pp. 1119 - 1125
Main Authors: Kathiravale, Sivapalan, Muhd Yunus, Muhd Noor, Sopian, K, Samsuddin, A.H, Rahman, R.A
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01-06-2003
Elsevier
Subjects:
Applied sciences
Combustion of heterogeneous mixtures. Incineration
Combustion. Flame
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Higher Heating Value
Installations for energy generation and conversion: thermal and electrical energy
Mathematical model
Municipal Solid Waste
Other installations: mhd power plants, fuel cell plants, incineration plants, etc
Theoretical studies. Data and constants. Metering
Asia
Malaysia
Municipal Solid Waste
Higher Heating Value
Mathematical model
Calorific value
Incineration
Urban waste
Solid waste
Regression analysis
Modeling
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Summary:The most common methods currently being practiced to evaluate the heating value of Municipal Solid Waste (MSW) are by using the equation derived by Dulong, or experimentally by using the bomb calorimeter. There have been numerous other mathematical equations, which were created based on data from the physical composition, proximate or elemental analysis of the MSW. Questions have been raised on the size of the samples used for the experiments and on the applicability of these equations in different parts of the globe. This study was initiated to tackle these problems and also to establish a mathematical model that could calculate the Higher Heating Value of Malaysian MSW. Results showed that the correlation from the physical composition gave the best correlation coefficient when compared to the other correlation created based on the proximate or elemental analysis results. The new equations were also tested against other established equations and produced better results in all the different categories.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0016-2361
1873-7153
DOI:10.1016/S0016-2361(03)00009-7