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A Study on the Application of Simulation-based Simplified PMV Regression Model for Indoor Thermal Comfort Control

실내 온열환경 쾌적 제어를 위한 단순 PMV 회귀모델의 적용에 관한 시뮬레이션 연구

Kim, Sang-Hun;Yun, Sung-Jun;Chung, Kwang-Seop
김상훈;윤성준;정광섭

  • Received : 2015.02.02
  • Accepted : 2015.03.13
  • Published : 2015.03.31

Abstract

The PMV regression analysis was conducted for this model based on a database of the PMV variables. PMV regression model simplification was completed through sensitivity and data analysis. The simplified PMV regression model's and Fanger PMV model was confirmed through MAE and RMSE. And the EMS in EnergyPlus was used to establish a simplified PMV regression analysis-based thermal comfort control. Also, the thermal comfort controls based on simplified PMV model and the Fanger PMV model were applied to the building model, it was confirmed that both controls met the thermal comfort range in more than 90% of cases during the air conditioning period.

Keywords

Predicted mean vote;Multiple regression analysis;Simplification;EnergyPlus

References

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Cited by

  1. Prediction of Thermal Environment in a Large Space Using Artificial Neural Network vol.11, pp.2, 2018, https://doi.org/10.3390/en11020418
  2. Thermal Comfort, Energy and Cost Impacts of PMV Control Considering Individual Metabolic Rate Variations in Residential Building vol.11, pp.7, 2018, https://doi.org/10.3390/en11071767

Acknowledgement

Supported by : 서울과학기술대학교