文献类型：期刊文献

英文题名：Dynamic Multi-Objective Optimization in Brazier-Type Gasification and Carbonization Furnace

作者：Zhang, Xi[1];Zhang, Guiyun[2];Zhang, Dong[3];Zhang, Liping[2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Shanxi Agr Univ, Inst Cotton Res, Yuncheng 044000, Peoples R China;[3]Murdoch Univ, Coll Sci Hlth Engn & Educ, Discipline Engn & Energy, Perth, WA 6150, Australia

年份：2023

卷号：16

期号：3

外文期刊名：MATERIALS

收录：;EI(收录号：20230713590616);WOS:【SCI-EXPANDED(收录号:WOS:000931380600001)】；

基金：This work was supported by the National Natural Science Foundation of China (No. 62136003) and Central Guidance on Regional Science and Technology Development Foundation of Shanxi Province (No. YDZJSX2022C019).

语种：英文

外文关键词：biochar; gasification and carbonization furnace; dynamic multi-objective optimization; Gaussian process; evolutionary algorithm

摘要：With the special porous structure and super-long carbon sequestration characteristic, the biochar has shown to have potential in improving soil fertility, reducing carbon emissions and increasing soil carbon sequestration. However, the biochar technology has not been applied on a large scale, due to the complex structure, long transportation distance of raw materials, and high cost. To overcome these issues, the brazier-type gasification and carbonization furnace is designed to carry out dry distillation, anaerobic carbonization and have a high carbonization rate under high-temperature conditions. To improve the operation and maintenance efficiency, we formulate the operation of the brazier-type gasification and carbonization furnace as a dynamic multi-objective optimization problem (DMOP). Firstly, we analyze the dynamic factors in the work process of the brazier-type gasification and carbonization furnace, such as the equipment capacity, the operating conditions, and the biomass treated by the furnace. Afterward, we select the biochar yield and carbon monoxide emission as the dynamic objectives and model the DMOP. Finally, we apply three dynamic multiobjective evolutionary algorithms to solve the optimization problem so as to verify the effectiveness of the dynamic optimization approach in the gasification and carbonization furnace.