Methods for household waste composition studies

2008 ◽  
Vol 28 (7) ◽  
pp. 1100-1112 ◽  
Author(s):  
Lisa Dahlén ◽  
Anders Lagerkvist
2015 ◽  
Vol 46 ◽  
pp. 3-14 ◽  
Author(s):  
Olli Sahimaa ◽  
Mari Hupponen ◽  
Mika Horttanainen ◽  
Jaana Sorvari

2015 ◽  
Vol 14 (11) ◽  
pp. 2643-2651
Author(s):  
Ioana Nicoleta Pop ◽  
Calin Baciu ◽  
Nicoleta Bican-Brisan

2015 ◽  
Vol 14 (11) ◽  
pp. 2643-2651 ◽  
Author(s):  
Ioana Nicoleta Pop ◽  
Calin Baciu ◽  
Nicoleta Bican-Brisan

1971 ◽  
Vol 97 (3) ◽  
pp. 384-387
Author(s):  
Donald J. Hagerty ◽  
Joseph L. Pavoni ◽  
John E. Heer

2019 ◽  
Vol 797 ◽  
pp. 65-73
Author(s):  
Putri Faizura Megat Khamaruddin ◽  
Tiffany Anak Tony ◽  
Azil Bahari Alias ◽  
Sharifah Aishah Syed A. Kadir ◽  
Emma Qarmilla Suhaili

In Malaysia, waste management via recycling is highly promoted, however, recycling bins are not fully utilized as almost all the recycling bins provided are filled with other wastes. As institutional waste is a part of municipal solid waste (MSW), this composition study will be crucial to obtain a conventional management of the waste. In other words, waste composition studies are vital for a more effective and proper management of the waste generated. Hence, the objectives of the research are to analyse the trend of the recycle waste composition obtained during both semester session and semester break and to determine the recycle waste composition collected at UiTM engineering complex. Sorting of the solid wastes from the recycle bins are done manually before weighing of each waste category. The trend shows that paper has the highest composition both during semester session and semester break which is at 65% and 84% respectively followed by plastic bottle with 25% and 13% and aluminum can at 10% and 3%. A sample of recyclable wastes is taken from each recycle bins to the instrumental analysis laboratory for ultimate analysis. The ultimate analysis result shows 43.68% carbon and 1.27% nitrogen for paper wastes, which give a C/N ratio of 34.67. This indicates that paper wastes are compostable when mixed with yard wastes. In determining the economic benefits of recycling, potential revenue of RM78.37 can be obtained from a 10-week period of study and hence, if recycling practice is made compulsory, the revenue can be increased.


2021 ◽  
pp. 101188
Author(s):  
Amar Laila ◽  
Mike von Massow ◽  
Maggie Bain ◽  
Kate Parizeau ◽  
Jess Haines

Author(s):  
Mark Bobman ◽  
John Culbertson

Waste composition studies can provide meaningful data for design and operation of resource recovery processes. However, relatively limited attention has been devoted to energy recovery predicted by waste composition analysis, despite increasingly detailed analysis of various subsets of the municipal solid waste stream. Further, global economic conditions and markets have dramatically altered since 2008, resulting in significant changes in corporate, institutional and consumer spending patterns. Associated with these shifts in spending, as well as with longer-term trends in packaging and advances in residential and commercial recycling, the quantity and makeup of discarded materials has changed. The authors present data resulting from recent waste composition studies, and discuss potential impacts on the design and operation of material recovery systems.


1992 ◽  
Vol 10 (1) ◽  
pp. 3-12 ◽  
Author(s):  
D. Leroy ◽  
J.-M. Giovannoni ◽  
L.-Y. Maystre

Knowledge of waste composition is of crucial importance for waste management forecasting. Composition is usually specified by average content of glass, paper, organic matter etc. In this paper a sorting method and its application to variance determination is described. A variation coefficient and a confidence interval are then calculated. From these two parameters an appreciation of the dispersion and the uncertainty associated with the mean values can be derived. In the case studied, the variation coefficients calculated were between 0.10 and 0.50 depending on the class of waste. Analysis of confidence intervals shows that reliability is good for low-abundance components such as, for example, aluminium, iron and plastics. The influence of practical constraints on the theoretical guidelines is also discussed.


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