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Type: Conference paper
Title: Effects of building form on energy use for buildings in cold climate regions
Author: Wei, L.
Tian, W.
Zuo, J.
Yang, Z.
Liu, Y.
Yang, S.
Citation: Procedia Engineering, 2016 / Duanmu, L., Li, X., Jiang, S. (ed./s), vol.146, pp.182-189
Publisher: Elsevier
Issue Date: 2016
Series/Report no.: Procedia Engineering
ISSN: 1877-7058
Conference Name: 8th International Cold Climate (HVAC) (20 Oct 2015 - 23 Oct 2015 : Dalian, China)
Editor: Duanmu, L.
Li, X.
Jiang, S.
Statement of
Lai Wei, Wei Tian, Jian Zuo, Zhi-Yong Yang, YunLiang Liu, Song Yang
Abstract: Building form has significant effects on energy use in buildings, especially in cold climate regions. This research is focused on exploring the influences of parameters relevant to building forms on energy use for office buildings in Harbin, China. The input parameters include building orientation, aspect ratios, window-wall ratio, number of floors, and overall scales. The results show that the number of floors is the only dominant variable that affects annual heating energy use intensity, while the overall building scale is the most critical factor influencing both cooling and electricity use per unit of floor area. The comparison of results derived from machine learning methods indicates that the bagging MARS (Multivariate Adaptive Regression Splines), MARS, RF (random forest) are better models in predicting annual heating use. By contrast, the GP (Gaussian process) and bagging MARS are two most effective models for estimating both cooling and electricity use. The prediction for cooling and electricity intensities is more difficult than heating energy use in this case.
Keywords: Building form; Cold climate; Energy use; Simulation model; Sensitivity analysis
Rights: © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY_NC_ND license 4.0
DOI: 10.1016/j.proeng.2016.06.370
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