Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, United States.
Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, United States.
Bioresour Technol. 2014 Aug;166:120-31. doi: 10.1016/j.biortech.2014.05.015. Epub 2014 May 13.
As the exploration of the carbonization of mixed feedstocks continues, there is a distinct need to understand how feedstock chemical composition and structural complexity influence the composition of generated products. Laboratory experiments were conducted to evaluate the carbonization of pure compounds, mixtures of the pure compounds, and complex feedstocks comprised of the pure compounds (e.g., paper, wood). Results indicate that feedstock properties do influence carbonization product properties. Carbonization product characteristics were predicted using results from the carbonization of the pure compounds and indicate that recovered solids energy contents are more accurately predicted than solid yields and the carbon mass in each phase, while predictions associated with solids surface functional groups are more difficult to predict using this linear approach. To more accurately predict carbonization products, it may be necessary to account for feedstock structure and/or additional feedstock properties.
随着混合原料碳化的探索不断深入，人们明显需要了解原料的化学成分和结构复杂性如何影响生成产物的组成。进行了实验室实验，以评估纯化合物、纯化合物混合物和由纯化合物组成的复杂原料（例如纸、木材）的碳化情况。结果表明，原料特性确实会影响碳化产物特性。使用纯化合物碳化的结果来预测碳化产物特性，并表明回收固体的能量含量比固体产率和各相中碳的质量更准确，而使用这种线性方法预测固体表面官能团则更具挑战性。为了更准确地预测碳化产物，可能需要考虑原料结构和/或其他原料特性。
