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Minimizing Costs in Near-Critical Bioethanol Extraction and Dehydration Processes

机译:最小化近乎关键的生物乙醇提取和脱水过程的成本

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In the present work, we propose a model-based cost optimization for three capacities of bioethanol extraction-dehydration plants with supercritical propane. We consider alternative integration schemes between process streams as different nonlinear programming problems (NLP) for energy minimization. In particular, we analyze integration between a heat pump option for the top vapor of the first distillation column with the beer column reboiler, which can provide reduction in total energy consumption, as well as lower final product cost. Capital and operating costs were evaluated for the analyzed schemes. Tliermodynamic predictions are performed with an upgraded group contribution with association equation of state (GCA-EOS). We demonstrate that ethanol dehydration with supercritical propane can be a sustainable alternative that is energetically and economically competitive with other technologies.
机译:在目前的工作中,我们提出了一种基于模型的成本优化,具有超临界丙烷的生物乙醇提取 - 脱水植物的三种能力。我们考虑过程流之间的替代集成方案作为不同的非线性编程问题(NLP)的能量最小化。特别是,我们分析了与啤酒柱再沸器的第一蒸馏塔的顶部蒸汽的热泵选项之间的集成,这可以提供总能耗的降低,以及较低的最终产品成本。对分析的计划评估了资本和运营成本。使用状态的关联方程(GCA-EOS)进行升级的组贡献来执行Tliermodynamic预测。我们证明,具有超临界丙烷的乙醇脱水可以是可持续的替代方案,可持续和经济地与其他技术竞争。

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