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生物质以其产量大、CO_2零排放等优点成为替代化石燃料的重要可再生能源。文中以中国2种典型生物质玉米秆焦和稻草焦为研究对象,在热重分析仪上对玉米秆焦和稻草焦CO_2气化特征进行研究。根据反应过程中生物质焦颗粒孔隙表面积与反应速率之间的关键关系,并基于其气化过程中在非常小时间微元内有效反应面积的修正,利用一种微元分析法求解随机微分方程,从而建立了在化学反应控制条件下预测生物质焦气化行为的修正离散随机孔模型(MDRPM)。通过与离散随机孔模型(DRPM)比较发现,修正离散随机孔模型的预测值比DRPM的预测值更接近实验数据,并利用该模型分析了在不同温度下玉米秆焦和稻草焦CO_2气化的特性。
Biomass is an important renewable energy alternative to fossil fuels because of its large output and zero emission of CO 2. In this paper, two typical biomass corn stalk coke and straw coke in China were studied, and the CO 2 gasification characteristics of corn stalk coke and straw coke were studied on a thermogravimetric analyzer. According to the key relationship between the pore surface area and the reaction rate of biomass coke particles during the reaction and based on the modification of the effective reaction area within the micro-elements during the gasification process, a micro-element analysis method is used to solve the stochastic differential equation Thus, a modified discrete random pore model (MDRPM) was developed to predict the pyrolysis behavior of biomass under the control of chemical reaction. Compared with the DRPM model, we found that the prediction of discrete stochastic pore model is closer to the experimental data than that of DRPM, and the model was used to analyze the CO_2 gasification of corn stalk and straw coke at different temperatures characteristic.