Application of various statistical methods to evaluate thermo-analytical data of mechanically-biologically treated municipal solid waste
- 1. Institute of Waste Management, Department of Water, Atmosphere and Environment, University of Natural Resources and Applied Life Sciences, Vienna, Muthgasse 107, 1190 Vienna (Austria)
Description
Resource recovery and stabilization of waste organic matter before landfilling are crucial issues in waste management. These requirements are closely related to efficient separation of recyclables and well operated biological processes. Adequate analytical methods are a prerequisite to verify the realization of these purposes. A large data pool of mechanically-biologically treated (MBT) municipal solid waste originating from different Austrian treatment plants was investigated using simultaneous thermal analysis that comprises thermogravimetry/mass spectrometry (TG/MS) and differential scanning calorimetry (DSC). Biodegradation of MBT-waste is paralleled by decreasing enthalpies. Referring to organic matter enthalpy increases with progressing stabilization. Evaluation of thermal data was supported by multivariate data analysis. The efficiency of the biological pretreatment of municipal solid waste (MSW) compared to untreated MSW in landfills was verified by principal component analysis (PCA) of heat flow (DSC) profiles. Divergent input materials were identified by means of heat flow profiles and discriminant analysis (PLS-DA). Prediction models for the calorific value and the TOC (total organic carbon) based on DSC-profiles and partial least squares regression (PLS-R) resulted in a good correlation (R2 = 0.94 in both cases). The root mean square errors of crossvalidation were 413 J g-1 and 1.5% referring to dry matter, respectively. Respiration activity (RA4) was reflected by thermal analyses. The correlation was based on mass spectra of volatile combustion products and DSC-profiles. The correlation resulted in a coefficient of determination (R2) of 0.87 and 0.82 respectively. Thermal analysis in association with multivariate statistical methods has proven to be a reliable method to verify efficient separation of the plastic fraction, stabilization by biological treatment and waste material composition.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.tca.2010.01.015Additional details
Identifiers
- DOI
- 10.1016/j.tca.2010.01.015;
- PII
- S0040-6031(10)00023-7;
Publishing Information
- Journal Title
- Thermochimica Acta
- Journal Volume
- 501
- Journal Issue
- 1-2
- Journal Page Range
- p. 91-97
- ISSN
- 0040-6031
- CODEN
- THACAS
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44102644
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
- Descriptors DEI
- BIODEGRADATION; CALORIFIC VALUE; CALORIMETRY; DATA ANALYSIS; EFFICIENCY; ENTHALPY; HEAT FLUX; LEAST SQUARE FIT; MASS SPECTRA; MASS SPECTROSCOPY; MULTIVARIATE ANALYSIS; ORGANIC MATTER; SANITARY LANDFILLS; SOLID WASTES; THERMAL GRAVIMETRIC ANALYSIS
- Descriptors DEC
- CHEMICAL ANALYSIS; CHEMICAL REACTIONS; COMBUSTION PROPERTIES; DECOMPOSITION; GRAVIMETRIC ANALYSIS; MANAGEMENT; MATHEMATICAL SOLUTIONS; MATHEMATICS; MATTER; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; PHYSICAL PROPERTIES; QUANTITATIVE CHEMICAL ANALYSIS; SPECTRA; SPECTROSCOPY; STATISTICS; THERMAL ANALYSIS; THERMODYNAMIC PROPERTIES; WASTE DISPOSAL; WASTE MANAGEMENT; WASTES
Optional Information
- Copyright
- Copyright (c) 2010 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.