Research Article

Verification of Energy Usage Based on Standard Building Model Development of Low-Rise Residential Buildings in South Korea

Table 11

Results of sensitivity analysis.

VariableContentsValueSelected variables

x1Type of buildingPearson correlation coefficient−0.483
Significant probability (both)0.000
x2AreaPearson correlation coefficient0.775
Significant probability (both)0.000
x3Short- and long-side ratio in the floor planPearson correlation coefficient−0.072
Significant probability (both)0.000
x4Classification of physical spacePearson correlation coefficient0.001
Significant probability (both)0.000
x5Inner and outer wall area ratioPearson correlation coefficient0.001
Significant probability (both)0.000
x6Number of roomsPearson correlation coefficient0.339
Significant probability (both)0.000
x7Number of toiletsPearson correlation coefficient0.245
Significant probability (both)0.000
x8Balcony typePearson correlation coefficient0.056
Significant probability (both)0.000
x9Insulation boundary conditionPearson correlation coefficient−0.432
Significant probability (both)0.000
x10Window area ratioPearson correlation coefficient0.035
Significant probability (both)0.000
x11Year of completionPearson correlation coefficient−0.233
Significant probability (both)0.000
x12Building orientationPearson correlation coefficient0.032
Significant probability (both)0.000
x13Occupancy (number of people in a room)Pearson correlation coefficient−0.005
Significant probability (both)0.000
x14Room schedulePearson correlation coefficient0.139
Significant probability (both)0.000
x15Energy requirementsPearson correlation coefficient1
Significant probability (both)-

The correlation coefficient is significant at the 0.01 level (both sides).