Optimization method for indoor thermal comfort based on interactive numerical calculation

Yuan Qing Xu*, Xiang Guang Chen, Chun Cheng Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In order to implement the optimal design of the indoor thermal comfort based on the numerical modeling method, the numerical calculation platform is combined seamlessly with the data-processing platform, and an interactive numerical calculation platform which includes the functions of numerical simulation and optimization is established. The artificial neural network (ANN) and the greedy strategy are introduced into the hill-climbing pattern heuristic search process, and the optimizing search direction can be predicted by using small samples; when searching along the direction using the greedy strategy, the optimal values can be quickly approached. Therefore, excessive external calling of the numerical modeling process can be avoided, and the optimization time is decreased obviously. The experimental results indicate that the satisfied output parameters of air conditioning can be quickly given out based on the interactive numerical calculation platform and the improved search method, and the optimization for indoor thermal comfort can be completed.

Original languageEnglish
Pages (from-to)495-500
Number of pages6
JournalJournal of Beijing Institute of Technology (English Edition)
Volume17
Issue number4
Publication statusPublished - Dec 2008

Keywords

  • Indoor thermal comfort
  • Interactive numerical calculation
  • Optimization method

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