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

J. O'Donnell, Linh Truong-Hong, N. Boyle, Edward Corry, Jun Cao, Debra Laefer

Research output: Contribution to journalArticle

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of geometric inputs for existing building models requires significant manual intervention due to the absence, or outdated nature of available data or digital measurements.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.

Original languageEnglish (US)
Article number102905
JournalAutomation in Construction
Volume107
DOIs
StatePublished - Nov 1 2019

Fingerprint

Drawing (graphics)
Lasers
Energy utilization
Semantics
Engines
Scanning
Geometry
Costs

Keywords

  • Building Energy Performance Simulation (BEPS)
  • City-scale modelling
  • Laser scanning
  • Light Detection And Ranging (LiDAR)
  • Retrofit
  • Semi-automated façades generation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

Cite this

LiDAR point-cloud mapping of building façades for building energy performance simulation. / O'Donnell, J.; Truong-Hong, Linh; Boyle, N.; Corry, Edward; Cao, Jun; Laefer, Debra.

In: Automation in Construction, Vol. 107, 102905, 01.11.2019.

Research output: Contribution to journalArticle

O'Donnell, J. ; Truong-Hong, Linh ; Boyle, N. ; Corry, Edward ; Cao, Jun ; Laefer, Debra. / LiDAR point-cloud mapping of building façades for building energy performance simulation. In: Automation in Construction. 2019 ; Vol. 107.
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