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Can building energy performance be predicted by a bioclimatic potential analysis? Case study of the Alpine-Adriatic region.

Authors :
Pajek, Luka
Košir, Mitja
Source :
Energy & Buildings. Mar2017, Vol. 139, p160-173. 14p.
Publication Year :
2017

Abstract

In recent years, the construction industry has been comprehensively focusing on energy performance of buildings and on achieving higher standards of living comfort. One of the most sophisticated ways to attain both at the same time is (re)achieving building’s climate balance by using bioclimatic design. Therefore, the main goal of this paper was to present a bioclimatic potential prognosis and to show its application on an example of the Alpine-Adriatic region. The bioclimatic potential prognosis was made for 21 characteristic locations. For this purpose, bioclimatic chart plots were made using elementary weather data and additionally, the actually received solar irradiance was precisely considered at every location. The latter was shown to have a large influence on the analysis results. Furthermore, an evaluation of performed bioclimatic potential prognosis was made with simulations of a generic building model using Energy Plus. The generic building model was tested in five selected locations and the heating and cooling demand results were compared with the bioclimatic potential analysis. The results showed that the application of the presented method can indicate which passive solutions should be applied in building design at a specific location in order to facilitate smaller energy usage and consequential higher indoor comfort. In addition, the presented approach can be used in order to incorporate the latest or predicted climate data into bioclimatic potential analysis. The latter has a significant influence on the design of buildings of the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787788
Volume :
139
Database :
Academic Search Index
Journal :
Energy & Buildings
Publication Type :
Academic Journal
Accession number :
121430802
Full Text :
https://doi.org/10.1016/j.enbuild.2017.01.035