Estimation Of The Seasonal Demand For Cooling Based On The Short-Term Data

The paper analyzes the possibility of using the energy signature method based on the linear regression to determine the seasonal energy demand for cooling and ventilation in the office building. The “extended” energy signature method ( method) was described and applied. In accordance with Standard (...

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Bibliographic Details
Published in:Architecture, Civil Engineering, Environment Civil Engineering, Environment, 2017-06, Vol.10 (2), p.133-143
Main Authors: Bartosz, Dorota, SpecjaŁ, Aleksandra
Format: Article
Language:English
Subjects:
Cooling
Energy demand
Energy performance
Energy signature
Linear regression
Office building
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Summary:The paper analyzes the possibility of using the energy signature method based on the linear regression to determine the seasonal energy demand for cooling and ventilation in the office building. The “extended” energy signature method ( method) was described and applied. In accordance with Standard (EN 15603) the estimation of energy consumption for cooling can be performed for a period shorter than the entire season, but data range must be appropriate to obtain the correct accuracy of the results. The presented analysis concerns the uncertainty of estimation the seasonal demand for cooling and ventilation of the building based on monthly and 14-day data. The objective was to choose the shortest possible time period in order to obtain proper accuracy. It has been shown that the method cannot be used to estimate cooling demand based on short-term (monthly or 14-days) data due to unacceptable uncertainty of results.
ISSN:1899-0142
1899-0142
DOI:10.21307/acee-2017-027