Abstract:
The circular economy is a concept that can significantly contribute to achieving a
nation's sustainability goals. With the increasing urban population, cities generate
more organic waste, but limited space constrains on-site waste management.
Centrahzed composting is a viable solution to manage the waste efficiently, adding
value by producing compost on a large scale. Several composting methods, including
aerated static composting, biodigester composting, in-vessel composting, and
vermicomposting, are cunently used by industries. However, there is a need to
determine the most suitable waste type for each method, a gap that remains in the
literature. This study aims to identiff the optimal waste type for each composting
method by conducting a meta-analysis of the current literature on large-scale
composting practices. A comprehensive review of 63 published research papers was
conducted, followed by a meta-analysis. Key parameters such as temperature (mean
42.5"C), moisture content (mean 56.04%), pH (7.10), and composting duration (mean
approximately 62 days) were analyzed as performance-controlling factors. Nitrogen
(N), phosphorus (P), and potassium (K) content were used as performance indicators.
The analysis revealed that temperature negatively correlates with the performance
indicators, while moisture content shows a positive correlation. The biodigester
method performed best, with mean vaiues of N-2.52%o, P-1.48yo, and K-2.24o/o,
followed by vermicomposting. The in-vessel and aerated static methods showed
comparatively poor performance. Among waste t1pes, food waste contributed the
most, with mean values of N-2.28%,P-t.460/0, and K-l .98o/o, while other waste types
performed similarly but less effectively. The study concludes that the best
combinations for large-scale composting are biodigesting with food waste and
vermicomposting with municipal solid waste, offering the highest nutrient content in
the produced compost.
