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Mathematical modeling and simulation of methane gas production in simulated landfill column reactors under sulfidogenic and methanogenic environments

机译:硫化和产甲烷环境下模拟垃圾填埋塔反应器中甲烷气体产生的数学模型和模拟

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摘要

A mathematical model was developed to simulate methane and carbon dioxide production from simulated landfill column reactors operated under sulfate reducing and methane producing conditions. The model incorporated governing equations which describe the chemical and biochemical processes responsible for the degradation of organic sate materials. These processes were hydrolysis, acidogenesis, methanogenesis and sulfidogenesis. The differential equations were numerically solved using Stella Researcher Software. The model was calibrated and verified using 700 days of gas production data from the simulated landfill column reactors. The calibrated hydrolysis rate constants for newspaper and sludge were found to be higher in sulfate reducing reactors as compared to methane producing reactors. The simulated methane production was quite accurate in all the reactors, but the predicted carbon dioxide production in the sulfate reducing reactors was not so accurate for the first 100 days, which may be attributed to the necessity of further governing equations. According to the sensitivity analysis, hydrolysis rate constants and moisture factors were the two most sensitive parameters controlling the gas production.
机译:建立了数学模型来模拟在硫酸盐还原和甲烷产生条件下运行的模拟垃圾填埋塔反应器中甲烷和二氧化碳的产生。该模型结合了控制方程,该方程描述了导致有机态材料降解的化学和生化过程。这些过程是水解,酸生成,甲烷生成和硫化生成。使用Stella Researcher软件对微分方程进行了数值求解。使用来自模拟垃圾填埋塔反应器的700天产气量数据对模型进行了校准和验证。与硫酸生产反应器相比,硫酸盐还原反应器中报纸和污泥的校准水解速率常数更高。在所有反应器中模拟的甲烷生成量都非常准确,但是在硫酸盐还原反应器中预测的二氧化碳生成量在前100天中并不那么精确,这可能归因于需要进一步的控制方程式。根据敏感性分析,水解速率常数和水分因子是控制气体产量的两个最敏感参数。

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