A method for profiling lighting and small power demands in buildings

Jones, A. D. and Underwood, Chris (2003) A method for profiling lighting and small power demands in buildings. Building Services Engineering Research and Technology, 24 (1). pp. 47-53. ISSN 01436 244

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Official URL: http://dx.doi.org/10.1191/0143624403bt055tn


A method is proposed for generating daily power demand profiles for lighting and small power in commercial buildings. The method is based on second-order regression model fitting to monitored half-day data sets. Results for both maximum and minimum daily patterns of demand are presented thus forming an envelope of certainty within which a 'typical' daily profile might be expected to lie. A comparison between the predicted envelopes and randomly selected monitored data shows that the model describes actual power utilization with a good degree of accuracy. A method is proposed for generating 'typical' power demand profiles using a random number sequence with its limits defined by the bounds of the power demand envelope and results are presented for summer, winter and mid-season conditions. The results are applicable to power network design, building energy simulations and for predicting casual heat gain profiles for building thermal analyses.

Item Type: Article
Subjects: H100 General Engineering
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Becky Skoyles
Date Deposited: 12 Feb 2015 12:31
Last Modified: 13 Oct 2019 00:22
URI: http://nrl.northumbria.ac.uk/id/eprint/19444

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