Jang, H;
Kang, J;
(2017)
An energy model of high-rise apartment buildings integrating variation in energy consumption between individual units.
Energy and Buildings
, 158
pp. 656-667.
10.1016/j.enbuild.2017.10.047.
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Abstract
Building energy modelling methods have been required to be more accurate by taking into account variation in building factors affecting on energy consumption. However, modelling approaches for high-rise apartment buildings have often disregarded variation arising from individual apartment units. This study aimed to develop a building energy model of high-rise apartment buildings by integrating variation derived from individual apartment units. The methods were designed in three steps: identifying unit-specific heating consumption in different locations; creating a building energy model, based on the physical characteristics of apartment units and identifying the influential heating controls on heating energy consumption; and integrating a new set of polynomial model of independent heating controls in units and their interactions between floors. The result indicates that the averaged heating energy consumption of whole-building has a limited interpretation to represent the wide range of heating energy use in apartment units with different locations from 96 to 171 kWh/m2/year. The integrated set of polynomial model found that apartment units on lower floors need either higher set-point temperatures or longer heating hours than the probable heating control in the building-scale. Moreover, the accuracy of the model estimation is also improved to CV RMSE 5.6%.
| Type: | Article |
|---|---|
| Title: | An energy model of high-rise apartment buildings integrating variation in energy consumption between individual units |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.enbuild.2017.10.047 |
| Publisher version: | https://doi.org/10.1016/j.enbuild.2017.10.047 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Construction & Building Technology, Energy & Fuels, Engineering, Civil, Engineering, Building energy model, High-rise apartment buildings, Uncertainty, Heating control, Polynomial regression, RETROFIT ANALYSIS, SIMULATION, UNCERTAINTY, BEHAVIOR |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10054784 |
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