Transient thermal conduction optimization for solid sensible heat thermal energy storage modules by the Monte Carlo method
作者: Yu-Chao HuaTian ZhaoZeng-Yuan Guo
作者单位: 1Department of Engineering Mechanics, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing, 100084, China
刊名: Energy, 2017, Vol.133 , pp.338-347
来源数据库: Elsevier Journal
DOI: 10.1016/
关键词: Entropy generationMonte CarloOptimizationThermal energy storageTransient thermal conduction
英文摘要: Abstract(#br)The demand for more efficient energy utilization is leading to the need for efficient thermal energy storage (TES) systems. High temperature, low thermal conductivity concrete has been widely used in solid TES modules. The thermal conduction in concrete is improved by adding a fixed amount of high thermal conductivity materials into the original material with the characteristic time for thermal storage and release from the system as the optimization objective. Here, this transient thermal conduction optimization problem was solved using a Monte Carlo (MC) method with the simulated annealing algorithm. The optimal thermal conductivity distribution should be approximately a piecewise function whose configuration depends on the amount of the additional high conductivity material...
全文获取路径: Elsevier  (合作)
影响因子:3.651 (2012)

  • thermal 热的
  • conduction 导电
  • solid 固体
  • optimization 最佳化
  • energy 能量
  • method 方法
  • storage 蓄水量
  • sensible 可感觉到的