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 mLCH₄/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 mLCH₄/gVS, respectively. Results from the nutritional based and statistically derived canonical mixtures theoretical BMP prediction models for kernels (289 mLCH₄/gVS) closely matched empirical values (284 mLCH₄/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.

使用六种不同的BMP理论预测模型确定鳄梨油加工副产物的生物甲烷潜力（BMP），并将结果与​​文献中的经验值进行比较。在对各个副产物进行理化特性分析和BMP计算之前，将这些副产物分为果仁，皮，de水器果渣和de水器废水。使用不同底物的不同预测模型，不同副产物的估计BMP值介于152和889 mLCH ₄ / gVS之间。这些值与流行的沼气工厂底物（如牛粪和以食物垃圾为基础的浮油，其生物甲烷势分别为150和847 mLCH _4）的生物甲烷势具有可比性。/ gVS。营养基础上和统计上得出的规范混合物的结果（关于谷物的理论BMP预测模型（289 mLCH ₄ / gVS））与文献中的经验值（284 mLCH ₄ / gVS）非常匹配。我们得出的结论是，用于沼气生产的厌氧消化可以初步视为管理鳄梨油加工副产品的可行的废物转化能源技术选择。统计得出的（基于营养的）理论BMP预测模型为评估这些底物的生物甲烷生产候选资格提供了最佳方法。