The current work focuses on the determination of optimal values of operating input factors, namely gasifier temperature (650–850 °C), steam/biomass ratio (0.4–1.6), and particle size (75–275 μm) leading to maximization of the H₂ concentration, syngas yield, and H₂ yield during steam gasification process in bubbling fluidized bed gasifier. Response surface methodology–based central composite spherical design approach is used to design the experiments. To evaluate the effect of individual and interaction factors on output responses, ANOVA has been performed. From the ANOVA analysis, the temperature is found to be the most effective input factor for H₂ concentration compared with particle size and steam/biomass ratio whereas the steam/biomass ratio is most effective for H₂ yield and syngas yield amongst all input factors. Optimization predicts the maximum H₂ concentration as 60.9 vol% at the optimum input factors (temperature of 820 °C, the particle size of 190 μm, and steam/biomass ratio of 0.8), whereas the maximum H₂ yield of 41.85 g/kg biomass is found at temperature of 793 °C, steam/biomass ratio of 1.3, and particle size of 172 μm. Moreover, the maximum syngas yield of 0.91 m³/kg biomass is found at the temperature of 812 °C, steam/biomass ratio of 1.4, and the particle size of 130 μm. The values of output responses predicted by the developed quadratic models fit well with the experimental values.

当前的工作着重于确定最佳的操作输入因子值，即气化炉温度（650–850°C），蒸汽/生物质比（0.4–1.6）和粒径（75–275μm），从而最大程度地提高操作效率。鼓泡流化床气化炉中蒸汽气化过程中的H ₂浓度，合成气产率和H ₂产率。基于响应面方法的中心复合球形设计方法用于设计实验。为了评估个体和相互作用因素对输出响应的影响，已进行了方差分析。通过ANOVA分析，发现温度是H ₂的最有效输入因子浓度与颗粒大小和蒸汽/生物质比相比，而蒸汽/生物质比对所有输入因素中的H ₂产率和合成气产率最有效。优化预测在最佳输入因子（温度为820°C，粒径为190μm，蒸汽/生物质比为0.8）下，最大H ₂浓度为60.9 vol％，而最大H ₂产量为41.85 g / kg发现生物质的温度为793°C，蒸汽/生物质比为1.3，粒径为172μm。此外，最大合成气产量为0.91 m ³在812°C的温度，1.4的蒸汽/生物质比和130μm的粒径下发现了/ kg生物质。通过开发的二次模型预测的输出响应值与实验值非常吻合。