A catalogue of energy conservation measures (ECM) and a tool for their application in energy simulation models

被引:17
作者
Costa, Goncal [1 ]
Sicilia, Alvaro [1 ]
Oregi, Xabat [2 ]
Pedrero, Juan [3 ]
Mabe, Lara [3 ]
机构
[1] Ramon Llull Univ, ARC, Engn & Architecture La Salle, Quatre Camins 2, Barcelona 08022, Spain
[2] Univ Basque Country, Dept Architecture, Plaza Onati 2, San Sebastian 20018, Spain
[3] Tecnalia Res & Innovat, Div Energy & Environm, Azpeitia 20730, Spain
基金
欧盟地平线“2020”;
关键词
ECM catalogue; Energy efficiency; Semantic web; BEP simulation model; SimModel; SEMANTIC WEB; TECHNOLOGIES; MAP;
D O I
10.1016/j.jobe.2019.101102
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 53 条
[1]  
[Anonymous], 2004, P 20 ANN ARCOM C
[2]  
Apache Jena ARQ, 2015, ARQ SPARQL PROC JEN
[3]   Heating energy consumption and resulting environmental impact of European apartment buildings [J].
Balaras, CA ;
Droutsa, K ;
Dascalaki, E ;
Kontoyiannidis, S .
ENERGY AND BUILDINGS, 2005, 37 (05) :429-442
[4]  
Beetz J., 2009, MANAGING IT CONSTRUC, P221
[5]  
Beetz J., 2005, Proc. 22nd CIB W78 Conf. Inf. Technol. Constr, P193
[6]   A review of performance of zero energy buildings and energy efficiency solutions [J].
Belussi, Lorenzo ;
Barozzi, Benedetta ;
Bellazzi, Alice ;
Danza, Ludovico ;
Devitofrancesco, Anna ;
Fanciulli, Carlo ;
Ghellere, Matteo ;
Guazzi, Giulia ;
Meroni, Italo ;
Salamone, Francesco ;
Scamoni, Fabio ;
Scrosati, Chiara .
JOURNAL OF BUILDING ENGINEERING, 2019, 25
[7]   Investigating profitability performance of construction projects using big data: A project analytics approach [J].
Bilal, Muhammad ;
Oyedele, Lukumon O. ;
Kusimo, Habeeb O. ;
Owolabi, Hakeem A. ;
Akanbi, Lukman A. ;
Ajayi, Anuoluwapo O. ;
Akinade, Olugbenga O. ;
Delgado, Juan Manuel Davila .
JOURNAL OF BUILDING ENGINEERING, 2019, 26
[8]  
Boermans T., 2012, Renovation Tracks for Europe up to 2050: Building Renovation in Europe - What are the choices? Ecofys 2012 by order of: EURIMA (European Insulation Manufacturers Association)
[9]  
Brouwers J., 2005, P 2005 WORLD SUST BU, P4330
[10]  
Costa G, 2016, EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION, P673