Modelling the conversion of residual biomass to renewable fuels is of high relevance to promote the development of effective technological solutions. The present study compares the performance of five different kinetic models (pseudo-first-order kinetics, logistics, modified Gompertz, double-Gompertz, and multi-Gompertz) to describe the cumulative methane production during a low-solids anaerobic digestion of marine macroalgae waste. Different substrate concentrations were evaluated (0.9, 1.7 and 2.5% TS) with the best methane yield (105.2 mL CH₄.g VS⁻¹) being obtained at the highest amount of biomass. All models fitted the experimental data with R² > 0.988. The innovative multi-Gompertz model herein proposed led to the best performance indexes for all tested experimental conditions, allowing to predict methane yields more accurately when the digestion occurs in two or more steps, as it was the case with marine macroalgae waste.

对剩余生物质向可再生燃料的转化进行建模对于促进有效技术解决方案的开发具有高度相关性。本研究比较了五种不同动力学模型（伪一级动力学、物流、改进的 Gompertz、双 Gompertz 和多 Gompertz）的性能，以描述海洋大型藻类废物的低固体厌氧消化过程中的累积甲烷产量. 评估了不同的底物浓度（0.9、1.7 和 2.5% TS），在最高量的生物质下获得了最好的甲烷产率（105.2 mL CH ₄ .g VS ^{-1 ）。所有模型都用 R 2}拟合了实验数据 > 0.988。本文提出的创新多 Gompertz 模型为所有测试的实验条件带来了最佳性能指标，当消化发生在两个或多个步骤中时，可以更准确地预测甲烷产量，就像海洋大型藻类废物一样。