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Appraising different models for predicting biomethane potential: the case of avocado oil processing by-products

Biomethane potentials (BMPs) for avocado oil processing by-products were determined using six different theoretical BMP prediction models and results were compared with empirical values found in literature. The by-products were classified as kernels, skins, decanter pomace and decanter wastewater pr...

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Bibliographic Details
Published in:Journal of material cycles and waste management 2021, Vol.23 (1), p.409-415
Main Authors: Rashama, Charles, Ijoma, Grace N., Matambo, Tonderayi S.
Format: Article
Language:English
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Summary:Biomethane potentials (BMPs) for avocado oil processing by-products were determined using six different theoretical BMP prediction models and results were compared with empirical values found in literature. The by-products were classified as kernels, skins, decanter pomace and decanter wastewater prior to physicochemical characterisation and BMP calculation of individual by-products. The estimated BMP values for the different by-products ranged between 152 and 889 mLCH 4 /gVS using the different prediction models across substrates. These values compare favourably with biomethane potentials for popular biogas plant substrates such as cow manure and food waste-based floatable oil whose biomethane potentials are 150 and 847 mLCH 4 /gVS, respectively. Results from the nutritional based and statistically derived canonical mixtures theoretical BMP prediction models for kernels (289 mLCH 4 /gVS) closely matched empirical values (284 mLCH 4 /gVS) from literature. We conclude that anaerobic digestion for biogas production can be preliminarily considered as a viable waste-to-energy technology option for managing avocado oil processing by-products. The statistically derived (nutritional based) theoretical BMP prediction models offer the best approach for evaluating these substrates’ candidature for biomethane production.
ISSN:1438-4957
1611-8227
DOI:10.1007/s10163-020-01116-0