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Journal article ยท Conference paper

Evaluation of measurement techniques for modelling buildings in energy simulation and labelling tool

From

Design and Processes, Department of Civil Engineering, Technical University of Denmark1

Department of Civil Engineering, Technical University of Denmark2

Oslo Metropolitan University3

The dwellings built between 1945 and 1980 have the largest energy demand in the EU, which by 2009 represented 70% of the final energy use in buildings. A great portion of these dwellings have not been retrofitted and most of them were not built with any energy efficiency measures, since most of the energy regulations were implemented after the oil crisis in the 1970s.

The current renovation rate of residential buildings has not reached targeted goals, due to the numerous barriers that arise in the renovation process. The evaluation and labelling of existing residential buildings represent a big challenge, and the lack of geometric information on buildings is one of the main issues hindering an assessment through simulations.

Currently, there is no scientific literature that focuses on improving this task. However, the emergence of new technologies from different fields may streamline the geometric data gathering with the modelling task and greatly improve both accuracy and workload. This study focuses on the revision of geometry measurement techniques, based on the application and quantification of the benefits and barriers that these techniques represent for their use in the building simulation and labelling.

The techniques tested were Hololens, handheld laser scanner and handheld laser distance measurer. The evaluation considers time, cost and accuracy as well the tasks related to the post process of the data in BIM, which is not mandatory for building simulation, but it provided multiple benefits.

Language: English
Publisher: IOP Publishing
Year: 2020
Pages: 012032
Proceedings: Sustainability in the Built Environment for Climate Change Mitigation
ISSN: 17551315 and 17551307
Types: Journal article and Conference paper
DOI: 10.1088/1755-1315/410/1/012032
ORCIDs: Gonzalez Caceres, Alex Arnoldo

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