RT Journal Article
T1 A catalogue of energy conservation measures (ECM) and a tool for their application in energy simulation models
A1 Costa, Gonçal
A1 Sicilia, Álvaro
A1 Oregi, Xabat
A1 Pedrero, Juan
A1 Mabe, Lara
AB One of the primary objectives in the refurbishment of buildings is to identify the best combination of Energy Conservation Measures (ECMs) in terms of energy efficiency. The current Building Energy Performance (BEP) simulation tools require a great deal of time and effort because data from multiple sources must be properly combined (e.g., building/urban models, ECM catalogues, weather condition files) in order to create energy simulation models. In addition, the process of manually setting up each scenario in order to obtain the most optimal solution is also a demanding and time-consuming task. The growing presence of the Building Information Model/Modelling (BIM) technologies in the Architecture, Engineering and Construction (AEC) industry, combined with the new capabilities to link and integrate data using Semantic Web technologies, is presented as an alternative to automate the simulation process. In this article, we present a system that takes advantage of the capabilities of these technologies to integrate ECM data into BEP simulation models in an automated way. The system is composed of a catalogue of ECM measures described in Resource Description Framework (RDF) and a software component that facilitates their application in the models. The system has been developed in the context of OptEEmAL, a research project aimed at creating a web platform to facilitate building simulations at a district scale. The applicability of the system is demonstrated in a case study of a district-scale project.
SN 2352-7102
YR 2020
FD 2020-05
LK https://hdl.handle.net/11556/4079
UL https://hdl.handle.net/11556/4079
LA eng
NO Costa , G , Sicilia , Á , Oregi , X , Pedrero , J & Mabe , L 2020 , ' A catalogue of energy conservation measures (ECM) and a tool for their application in energy simulation models ' , Journal of Building Engineering , vol. 29 , 101102 . https://doi.org/10.1016/j.jobe.2019.101102
NO Publisher Copyright: © 2019 Elsevier Ltd
NO Most of the work presented in this article is included in the research carried out within the project “Optimised Energy Efficient Design Platform for Refurbishment at District Level” (OptEEmAL), which has received funding from the European Union Horizon 2020 Framework Programme ( H2020/2014–2020 ) under grant agreement n° 680676. Appendix Excerpt 1 information contained in the ‘scenario vector’ file described in JSON format. Image 4 Excerpt 2 extract of RDF data defined in the SimModel snippet for the ‘PA.FA.EX.CS.01’ measure corresponding to the definition of the name-spaces prefixes and the two layers of materials to be added in the current material lists of the walls. Image 5 Excerpt 3 extract of RDF data defined in the SimModel snippet for the ‘PA.FA.EX.CS.01’ measure, corresponding to the definition of the material layer of the first material. Image 6 Excerpt 4 extract of RDF data defined in the SimModel snippet for the ‘PA.FA.EX.CS.01’ measure, corresponding to the definition of the material. Image 7
DS TECNALIA Publications
RD 2 sept 2024