Optimizing the design of an in-patient room using simulation and optimization tools.

Optimizacija projektovanja bolesnickih soba pomocu alata za simulaciju i optimizaciju.

Summary

The paper deals with comparing two different models for predicting thermal comfort and optimizing the parameters that influence the energy consumption and thermal comfort. The analyses were done for the heating period, i.e. for a winter designing day. The model analysed for predicting thermal comfort were the Fanger and Pierce models. The response of models for predicting thermal comfort is shown by analyzing the influence of indoor humidity and indoor temperature. Also, the response of models is shown by analyzing supply water temperature and insulation thickness of building envelope. The analysis of investment is performed, too. The optimizing parameters in analyses were insulation thickness and UA value of radiator. Each established connection between actual parameters is established by optimization tools. The implemented optimization algorithms had used simulation models defined for winter design day for Trondheim.

Details

  • Original title: Optimizacija projektovanja bolesnickih soba pomocu alata za simulaciju i optimizaciju.
  • Record ID : 2007-0332
  • Languages: Serbian
  • Source: Zbornik radova pisanih za 36. kongres o klimatizaciji, grejanju, hladenju + CD-ROM./ Proceedings of the 36th International HVAC&R congress + CD-ROM.
  • Publication date: 2005/11/02

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