Economic estimation of an environmental-friendly biomethanation process based on economic values of consumed and produced gases would be a unique attitude. In this paper, time and space dependent concentration profiles of components involved in a batch process, designed for biomethanation, were predicted through a mass transfer modelling. The reaction terms used in the modeling required bio-kinetic parameters of μ max , m, k L , Y C/L , Y X/L , and Y P/L which were globally optimized via a predefined algorithm using some experimental data as 0.0987 day 1 , 0.1374 day 1 , 1.5422 mole m −3 , 1.3636, 0.0183, 0.0908. Upon model verification, process income was calculated for a long-term scenario under a variety of factors and maximized through response surface methodology. The maximum income achieved was $-0.4/m 3 bioreactor. A term carbon subsidy was considered in the income equation in order to find a break-even income for subsidy value of $363/ton CO 2 . Sensitivity analysis revealed that the amount of carbon subsidy directly influenced the selection of low or high levels of some process parameters to make the process profitable. In addition, it was found that pressure and liquid volume were the most important factors to achieve maximum income when $30 and $300/ton CO 2 carbon subsidy were allocated to the process, respectively.

中文翻译：

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基于消耗和产生的气体值的批量生物甲烷化过程建模以最大化收入

基于消耗和产生的气体的经济价值对环境友好的生物甲烷化过程进行经济评估将是一种独特的态度。在本文中，设计用于生物甲烷化的批处理过程中涉及的组分的时间和空间依赖性浓度分布通过传质模型进行了预测。建模中使用的反应项需要 μ max 、m、k L 、YC/L 、YX/L 和 YP/L 的生物动力学参数，这些参数通过使用一些实验数据作为 0.0987 第 1 天的预定义算法进行全局优化， 0.1374 第 1 天，1.5422 摩尔 m -3 ，1.3636，0.0183，0.0908。在模型验证后，计算了各种因素下的长期情景的过程收入，并通过响应面方法进行了最大化。实现的最大收入为 $-0.4/m 3 生物反应器。在收入方程中考虑了一项碳补贴，以便找到补贴价值 363 美元/吨 CO 2 的盈亏平衡收入。敏感性分析表明，碳补贴的数量直接影响了某些工艺参数的低或高水平的选择，以使该工艺有利可图。此外，发现压力和液体体积是实现最大收益的最重要因素，当分别向该过程分配 30 美元和 300 美元/吨 CO 2 碳补贴时。