Abstract: In order to effectively predict the caloric value of straw biochar, this paper selected 5 kinds of crop stalks including cotton, wheat, corn, rape and rice. After crushing, drying and carbonization treatment, 175 straw biochar samples were obtained. And the ash content, volatile matter, fixed carbon and gross calorific value were measured by standard methods. On the basis of correlation analysis between carbonization technology, industrial components and calorific value, a prediction model of straw biochar calorific value was constructed by regression approach. The results showed that the carbonization temperature had the most obvious influence on the gross calorific value, and holding time and heating rate had little influence on the gross calorific value. Through variance test analysis, the fitting equations of calorific value proposed on the basis of industrial analysis were significant. And the fitting equations of calorific value based on ash content, ash content and volatile matter, volatile matter and fixed carbon, ash content and fixed carbon had achieved good prediction accuracy.

Key words: straw, carbonization, industrial analysis, calorific value, model

摘要： 为了有效的预测秸秆生物炭热值，选取棉花、小麦、玉米、油菜和水稻5种农作物秸秆，经过粉碎、干燥后进行炭化处理后，获得175个秸秆生物炭试验样品，并按相关标准测定其热值及灰分、挥发分和固定碳含量。在分析炭化工艺、工业组成与高位热值相关性的基础上，采用回归方法建立基于工业组成的秸秆生物炭热值的预测模型。分析结果表明，对比不同炭化条件下制备的秸秆炭样品的热化工特性，炭化温度对热值影响最明显，保温时间与升温速率对热值影响小。通过方差分析检验，基于工业分析组成建立的秸秆热值曲线拟合方程都是显著的，其中基于灰分、灰分和挥发分、挥发分和固定碳、灰分和固定碳的秸秆热值曲线拟合方程达到了较好的预测精度。

关键词: 秸秆, 炭化, 工业分析, 热值, 模型