artificial intelligence; building information modelling (BIM); buildings; energy; statistical analysis; structures and design
Abstract :
[en] This study aims to examine the effect of frequently used energy strategies, such as insulation of external walls and roof, glazing type, shading devices, and indoor air temperature of the building, by using the artificial neural networks (ANN) of the Balikesir University Hospital building. The different energy-efficient strategies were simulated after modelling and calibrating the building by way of DesignBuilder. The five other insulation materials and window types were selected, and the overhang and louvre were applied with different lengths as a shading device. Based on the strategies, ANN produced 6250 data points eligible for building construction mode and hospital building use. As a result, when comparing the model output values, ANN gives the results with a satisfactory accuracy of 99% for the estimation and test data. After analysing ANN results, when the current indoor temperature results are set, the maximum saving rate is 18.66% and 72.48% for the heating and cooling periods, respectively.
Disciplines :
Architecture
Author, co-author :
Caner, Ismail; Balikesir University Faculty of Engineering, Department of Mechanical Engineering, , Balikesir, , Faculty of Applied Science, Sustainable Building Design Lab, Université de Liège, Liège, Belgium
Ilten, Nadir; Balikesir University Faculty of Engineering, Department of Mechanical Engineering, , Balikesir,
Ergün, Kadriye; Balikesir University Faculty of Engineering, Department of Industrial Engineering, , Balikesir,
Attia, Shady ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments
Language :
English
Title :
Effect of passive energy retrofitting strategies by using ANN: a case of a hospital building
Publication date :
02 January 2026
Journal title :
Proceedings of the Institution of Civil Engineers. Energy
ISSN :
1751-4223
eISSN :
1751-4231
Publisher :
Emerald
Volume :
179
Issue :
1
Pages :
57–80
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
11. Sustainable cities and communities 7. Affordable and clean energy
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