Zhang Xi, Zhang Guiyun, Zhang Dong, Zhang Liping
Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai 200237, China.
Institute of Cotton Research, Shanxi Agricultural University, Yuncheng 044000, China.
Materials (Basel). 2023 Jan 30;16(3):0. doi: 10.3390/ma16031164.
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.
由于具有特殊的多孔结构和超长的碳固存特性，生物炭已显示出在提高土壤肥力、减少碳排放和增加土壤碳固存方面的潜力。然而，由于结构复杂、原材料运输距离长和成本高，生物炭技术尚未得到大规模应用。为克服这些问题，设计了火盆式气化碳化炉，以进行干馏、厌氧碳化，并在高温条件下具有较高的碳化率。为提高运行和维护效率，我们将火盆式气化碳化炉的运行制定为一个动态多目标优化问题（DMOP）。首先，我们分析火盆式气化碳化炉工作过程中的动态因素，如设备容量、运行条件和炉内处理的生物质。之后，我们选择生物炭产量和一氧化碳排放作为动态目标，并对DMOP进行建模。最后，我们应用三种动态多目标进化算法来解决优化问题，以验证动态优化方法在气化碳化炉中的有效性。
