The detrimental environmental impacts of fossil fuels are increasing due to the growing global energy consumption. Thus, energy recovery from waste will inevitably become the dominant option in the future with population growth and the reduction in fossil resources. In this study; the synthesis gas composition obtained by gasification of biomass attained from a mixture of carbon black obtained from waste tires and sewage sludge originating from the yarn industry was modeled by the response surface method and optimized using Box–Behnken design. The R² values obtained for H₂, CO, CH₄, and the heating value that make up the synthesis gas composition are 92.86%, 95.40%, 96.15%, and 96.80%, respectively. These are the indicators that the models were statistically significant. Optimum conditions obtained from the model were as follows; reaction time 31.14 min, gas flow rate 0.05 L/minute, and biomass amount 19.66 g. As a result of the validation experiments conducted under optimum conditions, the percentages of H₂, CH₄, CO were found as 12.75%, 8.07%, and 7.87%, respectively, and the heating value was 1420.3 kcal/m³. In conclusion, the gasification process is an appropriate treatment for obtaining high-quality syngas from waste materials with high carbon and low moisture content and the Box–Behnken design is applicable for the optimization of the gasification process.

由于全球能源消耗的增加，化石燃料对环境的不利影响正在增加。因此，随着人口的增长和化石资源的减少，从废物中回收能源将不可避免地成为未来的主要选择。在这项研究中; 通过响应面法对由废轮胎获得的炭黑和纱线工业产生的污水污泥的混合物获得的生物质进行气化而得到的合成气成分，通过Box-Behnken设计进行了优化。H ₂，CO，CH ₄的R ²值构成合成气组成的热值分别为92.86％，95.40％，96.15％和96.80％。这些是模型具有统计学意义的指标。从模型获得的最佳条件如下：反应时间31.14分钟，气体流量0.05L /分钟，生物量19.66g。在最佳条件下进行的验证实验结果表明，H ₂，CH ₄，CO的百分比分别为12.75％，8.07％和7.87％，发热量为1420.3 kcal / m ^3。。总之，气化工艺是从高碳和低水分含量的废料中获得高质量合成气的合适方法，Box-Behnken设计适用于气化工艺的优化。