摘要
玻璃熔窑的多层保温是减少热损失、降低燃料消耗量、提高热效率的重要措施之一,优化设计的目的是节约成本。针对玻璃熔窑的大规模多层保温问题,提出了一种新的优化设计方法。首先建立窑炉保温的离散化模型,然后应用动态规划法,设计出一种次优算法实现优化,并考虑保温后对窑炉内壁温度的影响。讨论了算法中的参数选择对误差的影响,对算法复杂度的分析表明其与优化问题的规模增长是一阶关系。开发了相应的应用软件实现优化设计。
The Multi-Layer Insulation （MLI） of glass furnaces is one of the most important measures to reduce the heat loss，decrease the fuel consumption and improve the efficiency. The object of optimum design is to minimize the cost. An optimum design method was proposed for the large-scale MLI of glass furnaces. After the discrete model of MLI has been built, the dynamic programming was applied to develop the suboptimum algorithm to achieve the optimum aim. It was also considered that the insulating layers had influence on the furnace temperature. Finally, It was discussed bow the parameters in the algorithm has affected the error and it was demonstrated that there is a first-order relationship between the algorithm complexity and the scale of optimization problem. The applied software had been developed to solve the optimum problem。
出处
《材料科学与工程学报》
CAS
CSCD
北大核心
2005年第4期512-515,共4页
Journal of Materials Science and Engineering
关键词
玻璃熔窑
多层保温
优化设计
动态规划
glass furnaces
multi-layer insulation
optimum design
dynamic programming
