Simple regression models for fully air-conditioned public sector office buildings in subtropical climates

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)361-369
Journal / PublicationArchitectural Science Review
Volume45
Issue number4
Publication statusPublished - Dec 2002

Abstract

A total of 20 fully air-conditioned office buildings with centralised HVAC systems in the public sector were selected for this study. Electricity use per unit gross floor area ranged from 163 to 416 kWh/m2, with an average of 270 kWh/m2. Monthly electricity consumption data over a five-year period from 1996 to 2000 were gathered and analysed. These data were correlated with the corresponding monthly ambient temperature and cooling degree-hours using simply linear regression technique. Regression analysis revealed that electricity use showed a strong correlation with both the mean monthly ambient temperature and cooling degree hours, though the latter performed slightly better than the former. The average coefficient of determination (R2) was 0.87 and 0.88 for ambient temperature and cooling degree-hours, respectively. This is only a first investigation examining the correlation between energy consumption and the corresponding outdoor temperatures, and thus has limitations. To have a better understanding of the energy use characteristics of public sector office buildings in subtropical climates, more work is required.