Plant Science & Technology, University of Missouri, 147 Agricultural Engineering Building, Columbia, MO, 65211-5200, USA.
Faculty of Biotechnology and Food Technology, Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam.
Sci Rep. 2023 Mar 27;13(1):4933. doi: 10.1038/s41598-023-32121-6.
Anaerobic digestion (AD) is an alternative way to treat manure while producing biogas as a renewable fuel. To increase the efficiency of AD performance, accurate prediction of biogas yield in different working conditions is necessary. In this study, regression models were developed to estimate biogas production from co-digesting swine manure (SM) and waste kitchen oil (WKO) at mesophilic temperatures. A dataset was collected from the semi-continuous AD studies across nine treatments of SM and WKO, evaluated at 30, 35 and 40 °C. Application of polynomial regression models and variable interactions with the selected data resulted in an adjusted R value of 0.9656, much higher than the simple linear regression model (R = 0.7167). The significance of the model was observed with the mean absolute percentage error score of 4.16%. Biogas estimation using the final model resulted in a difference between predicted and actual values from 0.2 to 6.7%, except for one treatment which was 9.8% different than observed. A spreadsheet was created to estimate biogas production and other operational factors using substrate loading rates and temperature settings. This user-friendly program could be used as a decision-support tool to provide recommendations for some working conditions and estimation of the biogas yield under different scenarios.
厌氧消化（AD）是一种处理粪便的替代方法，同时可以生产沼气作为可再生燃料。为了提高 AD 性能的效率，有必要准确预测不同工作条件下的沼气产量。在本研究中，开发了回归模型来估计在中温条件下共消化猪粪（SM）和废厨房油（WKO）的沼气产量。从 SM 和 WKO 的九个处理的半连续 AD 研究中收集了一个数据集，在 30、35 和 40°C 下进行了评估。应用多项式回归模型和与所选数据的变量交互作用，得出调整后的 R 值为 0.9656，远高于简单线性回归模型（R=0.7167）。该模型的显著性通过平均绝对百分比误差评分 4.16%观察到。使用最终模型估计沼气时，预测值与实际值之间的差异在 0.2%到 6.7%之间，除了一个处理的差异为 9.8%。创建了一个电子表格，使用基质加载率和温度设置来估计沼气产量和其他操作因素。这个用户友好的程序可以用作决策支持工具，为某些工作条件提供建议，并在不同情况下估计沼气产量。
