| 基于智能技术的换热器经济运行的研究 |
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| 引用本文： | 邹积斌.基于智能技术的换热器经济运行的研究[J].节能,2008,27(1):25-27,31. |
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| 作者姓名： | 邹积斌 |
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| 作者单位： | 大连理工大学,新能源与节能研究中心,辽宁,大连,116024 |
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| 摘 要： | 换热器运行一段时间后,垢阻的增大使它的传热性能下降,输运泵功率增加。通过在线监测和遗传算法优化计算及神经网络的实时变频调控,使换热器在除垢周期内能够达到经济性运行,以此逼近它在设计时的运行工况点或满足实际使用时设定的需求。其目的达到高效节能和安全运行,其效果可以用热经济学分析法全面评价它的技术与经济性。
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| 关 键 词： | 智能换热器 遗传算法 神经网络 高效换热 经济运行 |
| 文章编号： | 1004-7948（2008）01-0025-03 |
| 收稿时间： | 2007-11-05 |
| 修稿时间： | 2007年11月5日 |
A study on economical running of heat exchanger based on intelligent control technology |
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| ZOU Ji-bin.A study on economical running of heat exchanger based on intelligent control technology[J].Energy Conservation,2008,27(1):25-27,31. |
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| Authors: | ZOU Ji-bin |
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| Abstract: | The accretion of fouling resistance results in a fall of heat transfer performance and an increase in transportation pump power during the running of heat exchanger.Through online monitoring,genetic algorithm optimization and neural network real-time frequency conversion control,heat exchanger can obtain a most economical running during the absterging cycle.Thus,it can approximate to the theoretical designed working condition or satisfy the practical demands.As a result,it can reach to high efficiency energy-saving and safe running that can be evaluated roundly by thermo-economics analytical method. |
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| Keywords: | intelligent heat exchanger genetic algorithm neural network high efficiency exchange heat economical running |
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