This study aims to develop a mathematical model to evaluate the energy required by pretreatment processes used in the production of second generation ethanol. A dilute acid pretreatment process reported by National Renewable Energy Laboratory (NREL) was selected as an example for the model's development. The energy demand of the pretreatment process was evaluated by considering the change of internal energy of the substances, the reaction energy, the heat lost and the work done to/by the system based on a number of simplifying assumptions. Sensitivity analyses were performed on the solid loading rate, temperature, acid concentration and water evaporation rate. The results from the sensitivity analyses established that the solids loading rate had the most significant impact on the energy demand. The model was then verified with data from the NREL benchmark process. Application of this model on other dilute acid pretreatment processes reported in the literature illustrated that although similar sugar yields were reported by several studies, the energy required by the different pretreatments varied significantly.

中文翻译：

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开发用于评估生物质稀酸预处理的能量需求的估计模型。

本研究旨在开发一个数学模型来评估用于生产第二代乙醇的预处理过程所需的能量。选择国家可再生能源实验室（NREL）报告的稀酸预处理过程作为模型开发的示例。预处理过程的能量需求是通过考虑物质的内能变化、反应能、热量损失和系统对/由系统所做的功来评估的，基于一些简化的假设。对固体负载率、温度、酸浓度和水分蒸发率进行敏感性分析。敏感性分析的结果表明，固体负荷率对能源需求的影响最为显着。然后使用来自 NREL 基准过程的数据验证该模型。将该模型应用于文献中报道的其他稀酸预处理过程表明，尽管几项研究报告了相似的糖产量，但不同预处理所需的能量差异很大。