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http://dx.doi.org/10.5855/ENERGY.2015.24.1.069

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

Kim, Sang-Hun (Graduate School of Energy Environment, Seoul National University of Science and Technology)
Yun, Sung-Jun (Architecture Team, Parsons Brinckerhoff Korea)
Chung, Kwang-Seop (School of Architecture, Seoul National University of Science and Technology)
Publication Information
Journal of Energy Engineering / v.24, no.1, 2015 , pp. 69-77 More about this Journal
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;
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