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机构地区:[1]浙江工业大学浙西分校化工系,浙江衢州324006 [2]巨化集团公司锦纶厂,浙江衢州324004
出 处:《化工技术与开发》2005年第5期34-36,共3页Technology & Development of Chemical Industry
基 金:浙江省高校青年教师资助项目
摘 要:研究了CO2提纯塔的影响因素对塔釜CO2出口浓度的影响。针对常规遗传算法的不足,对算法进行了有效的改进。运用改进的遗传算法,结合CO2提纯塔模型,对提纯塔的可控参数进行优化,得到了不同CO2进料浓度下的最优控制参数。实际生产检验表明,优化方法可行,优化结果有效。The relation between the concentration of COz at the bottom exit of purifying column and its influence factors was researched. Genetic algorithm was improved because of the disadvantage of simple genetic algorithm. The control parameters of purifying column were optimized by the improved genetic algorithm through combining the model of purifying column of CO2. Aiming at the kinds of feed-in concentration of CO2, the best control parameters were obtained. The test indicated that optimization method was feasible and the optimization results were available in actual industry production.
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