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Optimization of temperature and pretreatments for methane yield of hazelnut shells using the response surface methodology

机译：响应表面方法论优化榛子壳甲烷产量的温度和预处理

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In this study, NaOH pretreatment, H2SO4 pretreatment, thermal pretreatment and production temperature were optimized to ensure maximum methane yield from hazelnut shells (HS) using the response surface methodology (RSM). A Box-Behnken design was achieved with four different independent variables and one dependent variable (methane yield). A total of 29 tests were performed after pretreatment according to the RSM design and to different production temperatures, suggesting optimum values for NaOH pretreatment, H2SO4 pretreatment, thermal pretreatment and production temperature were 3.5% w/v, 2.56% v/v, 145.66 degrees C and 34.65 degrees C, respectively. Under these conditions, the RSM-predicted methane yield was 215.896 mL/g volatile solid (VS). The high R-2 value (0.9904) showed that the model could be applied effectively in the digestion of HS for the predicted methane yield according to the production temperature and pretreatments. In addition, lignocellulosic solubilisation was tested after pretreatment of the reactors according to the RSM operating conditions, which showed that the highest cellulose, hemicellulose and lignin solubilisation that could be achieved was 38.7% w/w (R-10), 36.9% w/w (R-22) and 50.5% w/w (R-10), respectively. The modified Gompertz model supported the experimental cumulative methane yields (CMYs).
机译：在本研究中，优化了NaOH预处理，H 2 SO 4预处理，热预处理和生产温度，以确保使用响应表面方法（RSM）从榛子壳（HS）的最大甲烷产量。通过四种不同的独立变量和一个依赖变量（甲烷产量）实现了Box-Behnken设计。在根据RSM设计和不同的生产温度的预处理后共进行29个测试，表明NaOH预处理的最佳值，H2SO4预处理，热预处理和生产温度为3.5％w / v，2.56％v / v，145.66度C和34.65摄氏度。在这些条件下，RSM预测的甲烷产率为215.896ml / g挥发性固体（Vs）。高R-2值（0.9904）显示，根据生产温度和预处理，可以有效地应用于预测甲烷产率的HS消化。此外，根据RSM操作条件预处理反应器后测试木质纤维素溶解，这表明可以实现的最高纤维素，半纤维素和木质素溶解度为38.7％w / w（R-10），36.9％w / W（R-22）和50.5％w / w（R-10）。改性的Gompertz模型支持实验累积甲烷产率（CMYS）。

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