| Title |
Measurement and Verification of Energy Conservation Measures in a Tertiary Hospital |
| Authors |
최승훈(Choi, Seung-Hun) ; 김선혜(Kim, Sean Hay) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.1.283 |
| Keywords |
Hospital; Energy; M&V; Baseline; Enthalpy; Regression |
| Abstract |
This study aimed to develop a reliable Measurement and Verification (M&V) baseline for domestic tertiary hospitals by reasonably estimating
daily electricity and gas consumption and peak power demand. Influential explanatory variables were selected including meteorological
variables (dry-bulb temperature, relative humidity, enthalpy) and hospital operational variables (number of inpatients, outpatients, and
surgeries), with four years of related data collected. 1) All energy sources were divided into four combination clusters based on operational
days (including Saturdays)/holidays and heating/non-heating periods. When sequentially sorted by dry-bulb temperature and enthalpy, all
clusters showed distinct linearity with R² exceeding 0.75. 2) Daily electricity and gas consumption showed more meaningful correlations with
daily outpatient numbers and surgery counts than with inpatient numbers. However, meteorological variables, particularly daily average
dry-bulb temperature and enthalpy, demonstrated even higher correlations. Notably, sequential sorting by enthalpy yielded superior predictive
performance in linear regression analysis compared to dry-bulb temperature. This finding was also valid for daily peak power demand. 3)
Energy source-specific baselines were developed and their predictive performance validated. The precision and accuracy of single-variable
linear regression analysis using enthalpy significantly exceeded those of multiple regression analyses using two or three variables combining
meteorological and operational variables. |