| Title |
Data Interpolation Methods for Energy Measurement and Verification (M&V) in Building Energy Analysis |
| Authors |
Yun Mi Park ; Seong Eun Kim ; Min Hee Chung ; Jin Chul Park |
| DOI |
https://doi.org/10.6110/KJACR.2022.34.3.123 |
| Keywords |
데이터 보간 ; M&V, 측정 및 검증 ; 건물에너지분석 Data Interpolation ; Measurement and Verification ; Building Energy Analysis |
| Abstract |
This study aims to present an interpolation method for Measurement and Verification (M&V) in building energy analysis and its validity was verified through a case study. For interpolation of data, it is first judged whether the outlier among the measurement data of the building energy system is normal, and the value determined as an error goes through selecting an appropriate interpolation method by reflecting its characteristics. After interpolating missing data for 1 day, 1 week, and 2 weeks through the case study, since short-term missing data has a linear characteristic, reliable data could be obtained even by applying the mean interpolation method. However, in the case of long-term missing data, volatility is high, making it difficult to secure data reliability in that way. In such a case, it is deemed reasonable to use the regression method derived from the correlated variable data. |