2008
DOI: 10.1016/j.biortech.2007.08.087
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Optimizing composting parameters for nitrogen conservation in composting

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Cited by 96 publications
(37 citation statements)
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“…Several practices such as optimization of initial C/N ratio (Jiang et al, 2011), process temperature (Pagans et al, 2006;Eklind et al, 2007), pH (Nakasaki et al, 1993), aeration (DeGuardia et al, 2008) and moisture regime (Bueno et al, 2008;Jiang et al, 2011) have been found to influence the degree of NH 3 volatilization from compost. However, optimization of these parameters under the practical composting conditions is not always an easy task and moreover, does not always appear to be effective.…”
Section: Introductionmentioning
confidence: 98%
“…Several practices such as optimization of initial C/N ratio (Jiang et al, 2011), process temperature (Pagans et al, 2006;Eklind et al, 2007), pH (Nakasaki et al, 1993), aeration (DeGuardia et al, 2008) and moisture regime (Bueno et al, 2008;Jiang et al, 2011) have been found to influence the degree of NH 3 volatilization from compost. However, optimization of these parameters under the practical composting conditions is not always an easy task and moreover, does not always appear to be effective.…”
Section: Introductionmentioning
confidence: 98%
“…To maximize the statistical strength of experimental data while minimizing the number of experimental trials needed, a central composite factor design was used to test key levels of the physical parameters. Amongst the large number of papers dealing with composting, only a limited number in recent years are based on an experimental design that enhances the reliability of results (Liang et al, 2003;Gea et al, 2007;Zambrano et al, 2007;Bueno et al, 2008a;2008b).…”
Section: Introductionmentioning
confidence: 99%
“…Sin embargo, pocos estudios han considerado la optimización numérica con la finalidad de definir las condiciones más adecuadas para el proceso en términos de humedad, aireación y disponibilidad de nutrientes, y no siempre se realizan respecto a los biorresiduos sino a otros residuos como los lignoceluliticos [66]. Los estudios relacionados con los biorresiduos se enfocan principalmente en la minimización de COV's y pocos se han centrado en maximizar las tasas de biodegradación [4,66]. Esto muestra un campo promisorio de investigación, que incluyen el uso de algoritmos genéticos o redes neuronales como una manera de reproducir datos a partir de ensayos experimentales y utilizar funciones objetivo que permitan definir las condiciones óptimas del proceso.…”
Section: Análisis De Las Tendencias De Investigación Más Estudiadas Eunclassified