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6 results for “Internal insulation”
Dataset to "Hygrothermal performance of an internally insulated masonry wall: experimentations without vapour barrier in a historic Italian Palazzo"
<p>This record contains pre-processed data of a ten-and-a-half-month monitoring period of the HeLLo project.</p> <p>The datafiles titled MeasProcessed_YYYY-MM-DD.dat correspond to the prepared data into a form for data analysis and processing as presented in “Hygrothermal performance of an internally insulated masonry wall: experimentations without vapour barrier in a historic Italian Palazzo”, accepted for publication in journal energy and buildings (<a href="https://doi.org/10.1016/j.enbuild.2022.111896">https://doi.org/10.1016/j.enbuild.2022.111896</a>).</p> <p>Each file, format MeasProcessed _YYYY-MM-DD.dat, corresponds to the daily registered data monitored every minute.</p> <p>Each file, format MeasProcessed_YYYY-MM-DD.dat, contains temperature (T) and relative humidity (RH) values, monitored through T-RH sensors (Telaire T9602; Amphenol). The general architecture of the acquisition system is based on a Master Slave configuration, as described in “Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls” (doi:10.3390/electronics8060643).</p> <p>Each file, format MeasProcessed_YYYY-MM-DD.dat is a text-based DAT file and can be opened with a standard text editor.</p>
Dataset to "Applied Research of the Hygrothermal Behaviour of an Internally Insulated Historic Wall without Vapour Barrier: In Situ Measurements and Dynamic Simulations"
<p>This record contains raw data of a 3-month monitoring period of the HeLLo project.</p> <p>The datafiles titled MeasLog_YYYY-MM-DD.dat correspond to the raw data used for the data analysis presented in “Hygrothermal analysis at critical points of an internally insulated historic wall without vapour barrier: in situ measurements and dynamic simulation”, submitted for publication in journal <em>energies</em>.</p> <p>Each file, format MeasLog_YYYY-MM-DD.dat, corresponds to daily registered data monitored every minute.</p> <p>Each file, format MeasLog_YYYY-MM-DD.dat, contains temperature (T) and relative humidity (RH) values, monitored through T-RH sensors (Telaire T9602; Amphenol). The general architecture of the acquisition system is based on a Master Slave configuratio, as described in “Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls” (doi:10.3390/electronics8060643).</p> <p>Each file, format MeasLog_YYYY-MM-DD.dat is a text-based DAT file and can be opened with a standard text editor.</p>
Temperature measurements of full-scale wall element using Type K thermocouples to observe internal convection in loose-fill wood fiber insulation
<p>Internal convection of insulation materials is a phenomenon that occurs when a construction element is subjected to a temperature difference on either side of the element, as the temperature difference inside the insulation will facilitate an onset of air movement due to thermal buoyancy. This dataset represents the results of 11 unique experiments conducted at Aalborg University at the Department of the Built Environment, where a full-scale wall element insulated with loose-fill wood fiber insulation is investigated for internal convection. A large guarded hotbox is used to control the boundary conditions of either side of the wall element, to imitate a construction element subjected to external and internal boundary conditions, similar to a wall in a house. This dataset can be used to benchmark other insulation materials investigated at similar boundary conditions.</p> <p>The dataset is structured into steady-state experiments and dynamic experiments, where a total of 7 unique cases are conducted in steady-state conditions, and 4 unique cases are conducted in dynamic conditions. The dataset for the steady-state experiments is structured by the temperature difference that the full-scale wall element is exposed to, from the cold and hot side, while the dynamic experiments are structured by the amplitude of the temperature variation, along with if an artificial sun is used or not.</p> <p>The results for the internal convection of the loose-fill wood fiber insulation show similar results as other studies that have conducted experiments on other insulation materials.</p> <p>For more information, see doi: 10.54337/aau488363266</p>
RIBuild: Measurements at case buildings with internal insulation (DK, LV, IT)
<p>Dataset consisting of measurement data at specific locations in Danish, Latvain and Italian cases; one file for each measuring point. Data consists mainly of temperature and relative humidity, but in some cases also heat flow or volumetric water content, or wind speed, wind direction and solar radiation.</p> <p>This dataset together with data from German case buildings (separate data set) form the basis for recommendations concerning the use of different internal insulation systems, reported in RIBuild deliverable D3.2. Further, the dataset was intended as input for validation of simulations performed with RIBuild web tool.</p> <p>Overview of data files to be found in ’RIBuild data WP3_DK LV IT case buildings’ as part of this dataset.</p> <p>Details about case buildings are described in RIBuild deliverable D3.2 available at www.ribuild.eu.</p> <p> </p>
Analysis of internal pressure in 3D bent insulated glass units - experimental data (CC-BY)
<p>The experimental data have been collected within the research project “Analysis of internal pressure in 3D bent insulated glass units” (grant number 2021/05/X/ST8/00168) financed by The National Science Centre (NCN) within the MINIATURA 5 programme.</p>
RIBuild: Measurements at Swiss case building with internal insulation
<p>Dataset consisting of measurement data (temperature, relative humidity, resistance (indirect method to measure moisture content)) at specific locations in a Swiss case; one file for each measuring point. This dataset and similar data sets from other RIBuild case buildings form the basis for recommendations concerning the use of different internal insulation systems, reported in RIBuild deliverable D3.2.</p> <p>Data are not accessible for the public; contact Christoph Geyer, Federico Gariglio, Barbara Wehle and Andreas Müller at Berner Fachhochschule (BFH) for further information. The project reference is: F. Gariglio, C. Geyer, A. Müller, and B. Wehle, “MOFEINN Monitoring des Feuchtehaushaltes innengedämmter Bauteile,” Bern, Switzerland, 2017</p>
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