Title: Optimizing full scale dynamic testing of building components: measurement sensors and monitoring systems
Authors: ERKOREKA AitorBLOEM JohannesESCUDERO CarlosMARTIN K.SALA Jose-Maria
Citation: ENERGY PROCEDIA vol. 78 p. 1738-1743
Publisher: ELSEVIER BV
Publication Year: 2015
JRC N°: JRC96307
ISSN: 1876-6102
URI: http://www.sciencedirect.com/science/article/pii/S1876610215020172
http://publications.jrc.ec.europa.eu/repository/handle/JRC96307
DOI: 10.1016/j.egypro.2015.11.285
Type: Articles in periodicals and books
Abstract: Experimental work to assess the thermal performance of complex building components often requires testing under real and therefore variable conditions. The PASLINK methodology developed during many years by a European network of outdoor test centres is a dynamic methodology that provides high quality data sets and makes it possible to study the thermal behaviour of tested building components. The test methodology defines the application of a “standard” set of sensors and instruments that are fixed for all experiments carried out in this type of test cells. These minimum set of sensors are the ones described by the PASLINK network quality assurance documentation. The test procedure also includes a calibration process of the test cells. Usually the specific component to be tested is also equipped with extra sensors to obtain specific information of the thermal behaviour of the sample. An example of the sensors over a specific roof test component will be presented in detail. Finally the data acquisition system requirements will be presented briefly, including both data logger and the software designed for the test control and data acquisition. They must fulfil all the requirements needed for an appropriate testing strategy and a reliable data handling. It is important to note that the requirements here expressed are valid for any type of test carried out to test the thermal behaviour of a building component under real climate but well controlled conditions. Traceability of all processes and data handling is indispensable for guaranteeing a high quality of the experimental work as well as the evaluation of the collected data by means of dynamic analysis methods.
JRC Directorate:Energy, Transport and Climate

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.