| 引用本文: | 赵麒,谭羽非,王琛.基于火积耗散原理的热网加热器优化设计与分析[J].哈尔滨工业大学学报,2016,48(8):136.DOI:10.11918/j.issn.0367-6234.2016.08.023 |
| ZHAO Qi,TAN Yufei,WANG Chen.Optimization design of thermal-system heater based on entransy dissipation theory[J].Journal of Harbin Institute of Technology,2016,48(8):136.DOI:10.11918/j.issn.0367-6234.2016.08.023 |
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| 摘要: |
| 为使热网加热器具有最优的换热性能，基于粒子群优化算法，以(火积)耗散数为目标函数，提出热网加热器优化设计的最小(火积)耗散优化方法.与传统的热网加热器设计计算不同，本文的优化设计不预先设定热网加热器的结构，通过优化确定热网加热器的最佳尺寸，同时，热网加热器优化设计考虑了工质的相变，以潜热修正值对壳侧蒸汽凝结的对流换热系数进行修正.对一热网加热器优化设计结果表明，通过优化设计，热网加热器的效能增加7.8%，同时热网加热器功率消耗下降19.6%，表明当热网加热器的热力性能最优时，其功耗达最小值.
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| 关键词: 火积耗散 目标函数 粒子群优化算法 热网加热器 |
| DOI：10.11918/j.issn.0367-6234.2016.08.023 |
| 分类号:TU995 |
| 文献标识码:A |
| 基金项目:建设部科学技术项目 (2011-K1-48);吉林省教育厅科学技术研究项目(120150044)；长春工程学院种子基金(320140029) |
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| Optimization design of thermal-system heater based on entransy dissipation theory |
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ZHAO Qi1,2 ,TAN Yufei1,WANG Chen2
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(1.School of Municipal Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China; 2.School of Energy and Power, Changchun Institute of Technology, Changchun 130012, China)
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| Abstract: |
| To optimize the heat transfer performance of the thermal-system heater, based on the particle swarm optimization algorithm and entransy dissipation theory, in this paper, a minimum entransy dissipation approach for optimization design was developed, taking entransy dissipation number as the objective function. The optimum size of the heat exchanger was determined without the pre-set structure of the heat exchanger and the phase change of working fluid of the heat exchanger was considered in the optimization design progress, which is different from the traditional design calculation. The convection heat transfer coefficient of steam condensation on the shell side was corrected by the latent heat value. For a specific thermal-system heater, the optimized design results showed that the exchanger effectiveness was increased by about 7.8%, while the pumping power reduced by about 19.6%, indicating that it achieved minimum power consumption when the thermal performance of thermal-system heater was optimized.
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| Key words: entransy dissipation objective function swarm optimization algorithm thermal-system heater |
