Multiple regression models for the lower heating value of municipal solid waste in Taiwan

Assessment of Indoor Bioaerosols in Public Spaces by Real-Time Measured Airborne Particles

“…In order to better comprehend the predictive accuracy of these regression models listed in Table 5, the second method used MAPE value was calculated from Eq. (2) (Lewis, 1982), which has been frequently applied in different areas (Chang et al, 2007;Wei and Lee, 2007;Pao, 2009;Chen et al, 2012;Yang et al, 2012;Chou and Telaga, 2014) to assess the fitness of prediction models. MAPE values for the bacterial bioaerosol concentration prediction models in Cases II-1 and II-3 with the highest R 2 values were 40.0% and 49.1% (20-50%), respectively.…”

Physico-chemical analysis and calorific values of poultry manure

“…In this way, the heating power of the manure could be determined from its composition. A large number of equations were evaluated, ranging from complex equations involving several components such as oxygen, carbon, hydrogen or sulphur, to simple ones employing only two parameters (Kathiravale et al, 2003;Chang et al, 2003). After comparing the errors and the quality of the fits, it was observed that when the lower heating value of poultry manure on a wet basis was plotted against the content in organic matter (OM), also on a wet basis (Fig.…”

Characterisation of chemical composition and energy content of green waste and municipal solid waste from Greater Brisbane, Australia

“…The country has no large-scale thermal treatment facilities for the disposal of non-hazardous MSW; the last MSW incineration plant shut down in 1997 (NSW Environment & Heritage, 2014), and an attempt to develop a solid waste energy recycling facility in Wollongong, New South Wales, failed, with the plant shut down in 2004 (URS Australia, 2010 Information about feedstock chemical properties and energy content is essential to the design and operation of any type of thermochemical conversion system, whether combustion or gasification-based. The energy content of MSW can be estimated based on average physical compositions using empirical models (Chang et al, 2007;Choi et al, 2008;Kathiravale et al, 2003;Lin et al, 2013;Liu et al, 1996). While this approach is quick and inexpensive, the downside is that the energy content of the type of organic waste in the country where the empirical model was developed is likely to differ significantly from that in the country where the model is applied.…”