Optimized sampling strategy for measurement of biomass properties during full-scale composting

Yumna Sadef*, Tjalfe Gorm Poulsen, Kai Bester

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Biomass to be composted is often very heterogeneous and collection of representative samples for determination of compost properties is therefore difficult, especially under full-scale conditions. During full-scale composting different biomasses in the amount of 10-100 tons are mixed, yielding a very heterogeneous mixture. Final sample size for compost property determination is usually a few grams compared with compost pile masses of hundreds of tons. Desired sample particle size is about 1 mm, while compost particle size ranges from 5 to 50 cm. This study focuses on the development of a strategy for sampling under full-scale conditions for minimum measurement uncertainty based on selected material properties. Optimization was conducted considering multiple parameters, such as number of pile turnings before sampling, number of samples collected, sample mass, sample homogenization, particle size reduction and number of replicate measurements. Measurement uncertainty was evaluated using water content, inorganic matter content and nutrient (nitrogen, phosphorus) content. For each parameter measurement variability was determined as a function of sampling strategy and used to identify optimal sampling strategy.

Original languageEnglish
Pages (from-to)775-782
Number of pages8
JournalWaste Management and Research
Volume31
Issue number8
DOIs
StatePublished - Aug 2013
Externally publishedYes

Keywords

  • biomass properties
  • coefficient of variation
  • homogenization
  • Meaurement uncertainty minimization
  • optimal sampling strategy

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