| Title |
Evaluating Energy Consumption Factors Through Panel Data on Building Occupant Requirements |
| DOI |
https://doi.org/10.5659/JAIK.2025.41.3.261 |
| Keywords |
Energy Consumption; Predicted Mean Vote; Voice of Customer; Mobile Platform; Generalized Estimating Equations |
| Abstract |
This study focuses on building occupants and analyzes data from 6,721 panel points, collected over three years, from February 2021 to
January 2024, covering their requirements and actions in five office buildings in Seoul. Using Generalized Estimating Equations (GEE),
correlations were identified between building energy consumption and factors such as HVAC-related requirements, mobile platform conversion
rates, and outdoor enthalpy. Positive correlations were found with outdoor enthalpy and HVAC demand, while a negative correlation was
observed with mobile platform conversion rates. Higher outdoor enthalpy, influenced by temperature and humidity, increased HVAC energy
demand. Additionally, more HVAC-related requirements from occupants resulted in greater energy consumption. However, shifting occupant
requirement submissions to mobile platforms led to decreased energy consumption. The findings highlight the potential of using
occupant-driven indicators to evaluate building energy performance, focusing on user interaction rather than just physical structures or
mechanical systems. By analyzing the relationship between occupant comfort requirements and energy consumption, this study suggests an
alternative to traditional, costly performance verification methods (IPMVP). This approach could reduce information asymmetry between users,
such as landlords or investors, and energy providers. |