期刊文献+

基于粒子群算法的太阳能热水器倾角优化设计

Designing the Angle of Solar Water Heater Based on Particle Swarm Optimization
原文传递
导出
摘要 研究了带有辅助电加热的太阳能热水器的最优安装角度.对于真空管下方不带反射镜的热水器,通过分析其倾角和方向角与每天吸收的光能以及电加热器的耗电量之间的关系,将电加热器全年的用电量最小作为优化目标,解得最佳的安装倾角和方向角;对于带有反射镜的太阳能热水器,采用临界法并结合几何知识,求出真空管背面吸收的太阳能.基于粒子群算法计算得到山西省大同市不带反射镜的太阳能热水器的最佳安装倾角为53.49°,方向角为10.26°,用电量为149.80度;带有反射镜的太阳能热水器的最佳安装倾角为49.32°,方向角为10.33°,用电量为50,16度.结果说明带反射镜的太阳能热水器具有明显的节能效果.比较发现基于粒子群算法求得的两种情况下的用电量比应用两阶段搜索法求得的用电量分别减少了6.60度和8.59度. This paper studies the installation of the solar water heater with an auxiliary electrical heating. For the solar water heater without reflector, we analyze relationship of the energy consumption of the electric heater, the inclination angle and direction of the solar water heater. Regarding the annual minimum power consumption of the electric heater as the optimization objective, we find out the best inclination angle and direction by solving the model. For the solar water heater with reflectors, we use the critical method combined with Geometry to find the increased solar energy. For the solar water heater in Datong, Shanxi, we get the result based on the particle swarm optimization (PSO) as follows: The best inclination angle of the water heater without reflector is 53.49°, the best direction angle is 10.26°and the power consumption is 149.80 kilowatt-hour. The best inclination angle of the water heater with reflectors is 49.32 °, the best direction angle is 10.33 °and the power consumption is 50.16 kilowatt-hour. The result shows that the solar water heater with reflector has obvious energy saving effect. By comparison, we find out that the obtained power consumption based on the PSO in both cases is decreased 6.60 kilowatt-hour and 8.59 kilowatt-hour respectively than by the two-stage search method.
机构地区 河海大学理学院
出处 《数学的实践与认识》 北大核心 2015年第3期154-162,共9页 Mathematics in Practice and Theory
基金 中央高校业务费资助项目(B12020128)
关键词 太阳能 热水器的安装 热水器的倾角和方向角 用电量 粒子群算法 solar energy water heater installation inclination angle and direction of thewater heater power consumption particle swarm optimization
  • 相关文献

参考文献9

二级参考文献15

  • 1武志峰,杨蓓.一种改进的粒子群优化算法[J].郑州大学学报(理学版),2007,39(3):109-112. 被引量:7
  • 2EBERHART R, KENNEDY J. A new optimizer using particle swarm theory [C]//Proceedings of the 6th International Symposium on Micro Machine and Human Science. Nagoya, Japan: IEEE, 1995:39-43.
  • 3KENNEDY J, EBERHART R. A discrete binary version of the particle swarm algorithm[ C]// Proceedings of IEEE Conference on Systems, Man and Cybernetics. Orlando, FL: IEEE, 1997: 4104- 4109.
  • 4CLERC M. The swarm and queen: Towards a deterministic and adaptive particle swarm optimization [ C]// CEC 99 : Proceedings of the 1999 Congress on Evolutionary Computation. Washington, DC: IEEE, 1999,3: 1957.
  • 5OZCAN E, MOHAN C K. Particle swarm optimization: Surfing the waves [ C]// Proceedings of Congress on Evolutionary Computation. Washington, DC: IEEE, 1999:1939-1944.
  • 6ARUMUGAM M S, RAO M V C, AARTHI C. A new and improved version of particle swarm optimization algorithm with global-local best parameters [ J]. Journal of Knowledge and Information Systems, 2008, 16 (3): 324-350.
  • 7SHI Y, EBERHART R C. A modified particle swarm optimizer [ C] // Proceedings of IEEE International Conference on Evolutionary Computation. Anchorage, AK: IEEE, 1998:69-73.
  • 8SHI Y, EBERHART R C. Empirical study of particle swarm optimization [ C]// Proceedings of the 1999 Congress on Evolutionary Computation. Piscataway, NJ: IEEE Service Center, 1999:1945-1950.
  • 9ANGELINE P J. Evolutionary optimization versus particle swarm optimization: philosophy and performance differences [C]// Proceedings of the 7th Annual Conference on Evolutionary Programming. Berlin: Springer, 1998:601-610.
  • 10达菲,贝克曼,葛新石.太阳能-热能转换过程[M].北京:科学出版社,1980.

共引文献182

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部