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dc.contributor.authorGonzalez Caceres, Alex
dc.contributor.authorHempel, Ernst Erik
dc.date.accessioned2020-01-25T17:37:43Z
dc.date.accessioned2020-04-20T10:29:17Z
dc.date.available2020-01-25T17:37:43Z
dc.date.available2020-04-20T10:29:17Z
dc.date.issued2020-01-01
dc.identifier.citationGonzalez Caceres AG, Hempel EE. Evaluation of measurement techniques for modellingbuildings in energy simulation and labelling tool. IOP Conference Series: Earth and Environmental Science (EES). 2020;410:1-10en
dc.identifier.issn1755-1307
dc.identifier.issn1755-1307
dc.identifier.issn1755-1315
dc.identifier.urihttps://hdl.handle.net/10642/8462
dc.description.abstractThe 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.en
dc.language.isoenen
dc.publisherIOP Publishingen
dc.relation.ispartofseriesIOP Conference Series: Earth and Environmental Science;Volume 410
dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectEvaluationen
dc.subjectMeasurement techniquesen
dc.subjectModelling buildingsen
dc.subjectEnergy simulationsen
dc.subjectLabelling toolsen
dc.titleEvaluation of measurement techniques for modelling buildings in energy simulation and labelling toolen
dc.typeConference objecten
dc.date.updated2020-01-25T17:37:43Z
dc.description.versionpublishedVersionen
dc.identifier.doihttps://dx.doi.org/10.1088/1755-1315/410/1/012032
dc.identifier.cristin1782030
dc.source.journalIOP Conference Series: Earth and Environmental Science (EES)


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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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