International Building Simulation Conference 2013, Chambéry, France. 

Contains 470 papers.

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User behaviour plays a key role in the energy demand of residential buildings, and its importance will only increase when moving towards nearly-zero-homes. However, little information is available on how users interact with their homes.
Dorien Aerts, Joeri Minnen, Ignace Glorieux, Ine Wouters, Filip Descamps
In this study, the feasibility of using thermal buffering enhanced with phase change material (PCM) to enable heat pump load shifting for a typical UK dwelling was investigated by comparing the performance of a buffered, load-shifted heat pump aga
Nick Kelly, Paul Tuohy
A valuable skillset for building industry professionals is proficiency in high-level, scripting languages that can automate and perform many common repetitive or technically intensive tasks.
Clayton Miller, Christian Hersberger, Marcus Jones
The purpose of this study is to assess the capabilities of a thermal model to represent actual building energy consumption when trying to best fit the input data of the model to the actual data of the building in operation. The approach has been a
Rofaïda Lahrech, Augustine Fery, Antoine Gautier, Wilhémine Lecointre
The discovery of a novel non-rod, non-cone photore-ceptor in the human eye that mediates a number of effects on the brain has sparked a growing interest in incorporating these non-visual effects of light into the design process of buildings.
Marıa L. Amundadottir, Steven W. Lockley, Marilyne Andersen
A bottom-up approach is developed for the specification of operational data with a high space-time resolution, to be used as inputs in multi-zone residential building models.
Olivier Neu, Simeon Oxizidis, Damian Flynn, Fabiano Pallonetto, Donal Finn
In this paper, two different forms of the non-linear PDE-system for heat and mass transfer in porous materials and their implementation with COMSOL Multiphysics are considered. The φ-based form presents the relative humidity as system variable and
Michele Bianchi Janetti, Fabian Ochs, Wolfgang Feist
Being highly insulated, low energy buildings are very sensitive to variable solar and internal gains. In this context, thermal mass is useful in storing surplus energy, reducing temperature variations and improving thermal comfort.
Fabio Munaretto, Bruno Peuportier, Alain Guiavarch
This study reports the application of a stochastic simulation model that estimates community-scale residential electricity demand and photovoltaic (PV) generation to simulate the voltage of medium- and low-voltage distribution networks.
Kazuaki Kusakiyo, Yohei Yamaguchi, Yoshiyuki Shimoda
The occupant behavior related to window and air conditioner operation has a large influence on the cooling energy consumption.
Rakuto Yasue, Hiromi Habara, Ayako Nakamichi, Yoshiyuki Shimoda
In order to handle a case of pollutant dispersion in an urban environment Computational Fluid Dynam-ics (CFD) emerges as a fast and flexible method.
Sophia Buckingham, Ariane Frere, Cecile Goffaux, Denis Jacquet, Laurent Geron4
The aim of this study is to check the accuracy of a nodal model to predict correctly the flow fields involved inside a building by wind-induced pressure.
François Demouge, Xavier Faure
The indoor thermal comfort and energy efficiency are the main design criteria for modern home energy systems (HES).
Kan Chen, Rita Streblow, Dirk Müller
This paper presents a generic model developed as a base case to represent a mid-sized Australian office building with possible best practice HVAC configurations. A number of common control methods or failures were assessed by the simulation.
Hongsen Zhang, Paul Bannister
One of the key responses of the UK Government to the European Energy Performance Building Directive EPBD2002 has been the introduction and refinement of an energy efficiency compliance tool for domestic dwellings, the Standard Assessment Procedure
Enrico Crobu, Simon Lannon, Michael Rhodes, Gabriela Zapata
This paper presents computational work in building information management, data interoperability, and data population, to support automatic carbon analysis.
Huang Yi Chun, Liu Yuezhong

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