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开发组件加和模型的方案,以预测水热液化的产油率。

Protocol to develop component additivity models that predict oil yield from hydrothermal liquefaction.

机构信息

Chemical Engineering Department, Pennsylvania State University, 121D CBE Building, University Park, PA 16802, USA.

出版信息

STAR Protoc. 2022 Sep 16;3(3):101536. doi: 10.1016/j.xpro.2022.101536. Epub 2022 Jul 14.

Abstract

Here, we describe steps for performing hydrothermal liquefaction (HTL) experiments and developing component additivity models that predict oil yields from HTL of mixtures with biomass and plastics. Such models could be developed for predicting outcomes from any thermochemical valorization process (e.g., pyrolysis) for any feedstock. The HTL protocol explains experiments with both a single component and mixture. The model is constrained to the specific plastic feedstocks and solvents for product recovery used in the experiments. For complete details on the use and execution of this protocol, please refer to Seshasayee et al. (2021).

摘要

在这里,我们描述了进行水热液化(HTL)实验的步骤,并开发了成分加和模型,该模型可预测生物质和塑料混合物进行 HTL 的油产率。这样的模型可以为任何热化学增值过程(例如热解)的任何原料开发,以预测结果。HTL 方案说明了单一成分和混合物的实验。该模型受限于实验中使用的特定塑料原料和产品回收溶剂。有关此方案的使用和执行的完整详细信息,请参见 Seshasayee 等人(2021 年)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc23/9294557/1c7495a03875/fx1.jpg

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