LiDAR point-cloud mapping of building façades for building energy performance simulation

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Title: LiDAR point-cloud mapping of building façades for building energy performance simulation
Authors: O'Donnell, JamesTruong-Hong, LinhBoyle, NiamhCorry, Edwardet al.
Permanent link: http://hdl.handle.net/10197/10995
Date: Nov-2019
Online since: 2019-08-20T07:00:47Z
Abstract: Current processes that create Building Energy Performance Simulation (BEPS) models are time consuming and costly, primarily due to the extensive manual inputs required for model population. In particular, generation of geometric inputs for existing building models requires significant manual intervention due to the absence, or outdated nature of available data or digital measurements. Additionally, solutions based on Building Information Modelling (BIM) also require high quality and precise geometrically-based models, which are not typically available for existing buildings. As such, this work introduces a semi-automated BEPS input solution for existing building exteriors that can be integrated with other related technologies (such as BIM or CityGML) and deployed across an entire building stock. Within the overarching approach, a novel sub-process automatically transforms a point cloud obtained from a terrestrial laser scanner into a representation of a building's exterior façade geometry as input data for a BEPS engine. Semantic enrichment is performed manually. This novel solution extends two existing approaches: (1) an angle criterion in boundary detection and (2) a voxelisation representation to improve performance. The use of laser scanning data reduces temporal costs and improves input accuracy for BEPS model generation of existing buildings. The approach is tested herein on two example cases. Vertical and horizontal accuracies of 1% and 7% were generated, respectively, when compared against independently produced, measured drawings. The approach showed variation in accuracy of model generation, particularly for upper floors of the test case buildings. However, the energy impacts resulting from these variations represented less than 1% of the energy consumption for both cases.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Type of material: Journal Article
Publisher: Elsevier BV
Journal: Automation in Construction
Volume: 107
Copyright (published version): 2019 Elsevier
Keywords: Light Detection And Ranging (LiDAR)Laser scanningCity-scale modellingBuilding Energy Performance Simulation (BEPS)RetrofitSemi-automated façades generation
DOI: 10.1016/j.autcon.2019.102905
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection
Energy Institute Research Collection

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