Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/80333
Title: Prediction of free air space in initial composting mixtures by a statistical design approach
Authors: Soares, Micaela A R 
Quina, Margarida J 
Quinta-Ferreira, Rosa 
Issue Date: 15-Oct-2013
Issue Date: 15-Oct-2013
Abstract: Free air space (FAS) is a physical parameter that can play an important role in composting processes to maintain favourable aerobic conditions. Aiming to predict the FAS of initial composting mixtures, specific materials proportions ranged from 0 to 1 were tested for a case study comprising industrial potato peel, which is characterized by low air void volume, thus requiring additional components for its composting. The characterization and prediction of FAS for initial mixtures involving potato peel, grass clippings and rice husks (set A) or sawdust (set B) was accomplished by means of an augmented simplex-centroid mixture design approach. The experimental data were fitted to second order Scheffé polynomials. Synergistic or antagonistic effects of mixture proportions in the FAS response were identified from the surface and response trace plots in the FAS response. Moreover, a good agreement was achieved between the model predictions and supplementary experimental data. Moreover, theoretical and empirical approaches for estimating FAS available in literature were compared with the predictions generated by the mixture design approach. This study demonstrated that the mixture design methodology can be a valuable tool to predict the initial FAS of composting mixtures, specifically in making adjustments to improve composting processes containing primarily potato peel.
URI: http://hdl.handle.net/10316/80333
ISSN: 1095-8630
DOI: 10.1016/j.jenvman.2013.04.041
Rights: openAccess
Appears in Collections:I&D CIEPQPF - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
1-s2.0-S0301479713002910-main.pdf899.4 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

7
checked on Jun 25, 2019

WEB OF SCIENCETM
Citations

7
checked on Jun 25, 2019

Page view(s)

49
checked on Aug 13, 2019

Download(s)

67
checked on Aug 13, 2019

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.