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conference paper

Towards a pre-design method for low carbon architectural strategies

Jusselme, Thomas  
•
Cozza, Stefano  
•
Hoxha, Endrit  
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2016
Proceedings of PLEA 2016, 32th international Conference on Passive and Low Energy Architecture
PLEA2016

To face climate change, Switzerland proposes the 2050 energy strategy by fixing greenhouse gas (GHG) emission targets for the built environment. Designers will then have to increase operating performances while inimizing embodied impacts. This represents an issue for the building design process. In addition, there is a relationship between the design efficiency and the early integration of the knowledge about design. The purpose of this paper is to highlight the potential of a pre-design method to identify the building design parameters that reach the 2050 climate change objectives. To that end, four major steps are developed in this project. First, design parameters (e.g. wall thermal transmittance) which influence the building GHG emissions the most, are identified thanks to a literature review. Morris method (Saltelli et al, 2004) is used to create combinations of design parameters changing their values one by one. Secondly, these combinations are attributed to architectural feasibility studies (Sinclair, 2013) developed in the brief design phase to perform lifecycle analysis. Thirdly, KBOB database (KBOB et al., 2014) and lifetime of components proposed by PI-BAT were used for assessing GHG emissions. Lesosai software was used for primary energy assessment. Lastly, the combinations of design parameters and their relative GHG emissions are interpreted with data mining and visualization techniques. The smart living lab building has been chosen as a case study: this building aims at achieving the 2050 goals of the 2000-watt society vision and will be built by 2020 in Fribourg, Switzerland. Thanks to the preliminary results it is possible to rank the design parameters according to their GHG contribution, in order to highlight them during the early building design stage. The method offers combinations of design parameters allowing to reach the 2050 climate change objectives. Data mining and visualization enable designers to easily find the values of these parameters to fit into the architectural strategy. In order to offer a wider range of design parameter values, techniques to enhance the database should be further investigated.

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Type
conference paper
Author(s)
Jusselme, Thomas  
Cozza, Stefano  
Hoxha, Endrit  
Brambilla, Arianna  
Evequoz, Florian
Lalanne, Denis
Rey, Emmanuel  
Andersen, Marilyne  
Date Issued

2016

Published in
Proceedings of PLEA 2016, 32th international Conference on Passive and Low Energy Architecture
Subjects

low carbon strategies

•

data visualization

•

early design stage

•

design process

•

sensitivity analysis

•

Smart_Living_Building

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIPID  
LAST  
BUILD-O  
Event nameEvent placeEvent date
PLEA2016

Los Angeles, USA

July 11-13, 2016

Available on Infoscience
January 7, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/122043
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