GENIUS: A methodology to define a detailed description of buildings for urban climate and building energy consumption simulations

Abstract Urban canopy parametrisations like the Town Energy Balance TEB solve the urban surface energy balance for a simplified urban morphology in order to provide the lower boundary conditions for atmospheric models in urban areas. The urban surface energy balance is influenced in various ways by physical parameters related to building architecture. The albedo of the covering materials of roofs and walls is crucial for the radiation balance, the thermal conductivity and thermal capacity of the construction materials influence the heat storage inside the urban fabric. In this study we introduce a methodology to define the characteristics of building architecture with the precision required by state of the art urban canopy parametrisations. The geographical scope of our analysis is France. We assume that the building architecture depends mainly on the urban typology, the building use, the construction period, and the geographical location. Based on a literature survey on architectural practices and building regulation standards in France we define one to three building archetypes for each combination of these four parameters. For each building archetype, information on the construction type of walls and roofs (main materials, insulation, internal and external cover), the glazing ratio, type of windows, presence of shading elements, the airtightness and presence of a mechanical ventilation system is provided. We perform idealised simulations with TEB to determine the sensitivity of the urban surface energy balance on building architecture. We find that the albedo of the roof and the presence of insulation materials in wall and roof as well as their position with respect to the main wall and roof material are crucial for an accurate simulation of the urban energy balance. Future developments of the architectural database will therefore focus on these parameters.

[1]  Valéry Masson,et al.  A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models , 2000 .

[2]  V. Masson,et al.  Anthropogenic heat release in an old European agglomeration (Toulouse, France) , 2007 .

[3]  Maria Tombrou,et al.  The International Urban Energy Balance Models Comparison Project: First Results from Phase 1 , 2010 .

[4]  J. M. Shepherd,et al.  A Review of Current Investigations of Urban-Induced Rainfall and Recommendations for the Future , 2005 .

[5]  S. Corgnati,et al.  Use of reference buildings to assess the energy saving potentials of the residential building stock: the experience of TABULA Project , 2014 .

[6]  Keith W. Oleson,et al.  Parameterization of Urban Characteristics for Global Climate Modeling , 2010 .

[7]  M. J. Best,et al.  Trade‐offs and responsiveness of the single‐layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations , 2010 .

[8]  A. Porson,et al.  How Many Facets are Needed to Represent the Surface Energy Balance of an Urban Area? , 2009 .

[9]  Bruno Bueno,et al.  Improving the capabilities of the Town Energy Balance model with up-to-date building energy simulation algorithms: an application to a set of representative buildings in Paris , 2014 .

[10]  A. Christen,et al.  Energy and radiation balance of a central European city , 2004 .

[11]  Bruno Bueno,et al.  Development and evaluation of a building energy model integrated in the TEB scheme , 2011 .

[12]  Claude Kergomard,et al.  Classification morphologique du tissu urbain pour des applications climatologiques. Cas de Marseille , 2005, Rev. Int. Géomatique.

[13]  C. S. B. Grimmond,et al.  Key Conclusions of the First International Urban Land Surface Model Comparison Project , 2015 .

[14]  T. Oke,et al.  Local Climate Zones for Urban Temperature Studies , 2012 .

[15]  Steven J. Burian,et al.  National Urban Database and Access Portal Tool , 2009 .

[16]  H. Kondo,et al.  Development of a numerical simulation system toward comprehensive assessments of urban warming countermeasures including their impacts upon the urban buildings' energy-demands , 2003 .

[17]  A. Arnfield Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .

[18]  X. Briottet,et al.  The Canopy and Aerosol Particles Interactions in TOulouse Urban Layer (CAPITOUL) experiment , 2008 .

[19]  Benjamin Bechtel,et al.  Classification of Local Climate Zones Based on Multiple Earth Observation Data , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[20]  Marion Bonhomme,et al.  Genius: A tool for classifying and modelling evolution of urban typologies , 2012 .