Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2801-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-10-2801-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
21 Jul 2017
Development and technical paper |
| 21 Jul 2017
Parametrisation of the variety of human behaviour related to building energy consumption in the Town Energy Balance (SURFEX-TEB v. 8.2)
Robert Schoetter
CORRESPONDING AUTHOR
CNRM UMR 3589, Météo-France/CNRS,
42 avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
Valéry Masson
CNRM UMR 3589, Météo-France/CNRS,
42 avenue Gaspard Coriolis, 31057 Toulouse Cedex 1, France
Alexis Bourgeois
LATTS UMR 8134 CNRS, Ecole des Ponts ParisTech, Université Paris-Est Marne-la-Vallée,
6–8 avenue Blaise Pascal, Champs-sur-Marne, 77455 Marne la Vallée Cedex 2, France
Margot Pellegrino
Lab'Urba-GU, Université Paris-Est Marne-la-Vallée, 5 boulevard Descartes, 77420 Champs-sur-Marne, France
Jean-Pierre Lévy
LATTS UMR 8134 CNRS, Ecole des Ponts ParisTech, Université Paris-Est Marne-la-Vallée,
6–8 avenue Blaise Pascal, Champs-sur-Marne, 77455 Marne la Vallée Cedex 2, France
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- Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
- Towards decarbonisation targets by changing setpoint temperature to avoid building overcooling and implementing district cooling in (sub)tropical high-density cities – A case study of Hong Kong Y. Kwok et al. 10.1016/j.scitotenv.2021.152338
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- The Urban Climate Services URCLIM project V. Masson et al. 10.1016/j.cliser.2020.100194
- AN EMPIRICAL STUDY OF STUDENTS’ AIR CONDITIONING ENERGY USE BEHAVIOR IN UNIVERSITY DORMITORIES—A CASE OF NANJING, CHINA L. Tian et al. 10.3992/jgb.17.1.169
- Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): development and evaluation I. Capel-Timms et al. 10.5194/gmd-13-4891-2020
- A quantification of classic but unquantified positive feedback effects in the urban-building-energy-climate system Y. Kikegawa et al. 10.1016/j.apenergy.2021.118227
- Assessing the Ability of WRF‐BEP + BEM in Reproducing the Wintertime Building Energy Consumption of an Italian Alpine City G. Pappaccogli et al. 10.1029/2020JD033652
- Statistical prediction of the nocturnal urban heat island intensity based on urban morphology and geographical factors - An investigation based on numerical model results for a large ensemble of French cities T. Gardes et al. 10.1016/j.scitotenv.2020.139253
- WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model D. Meyer et al. 10.1029/2019MS001961
- Seven questions around interdisciplinarity in energy research M. Pellegrino & M. Musy 10.1016/j.erss.2017.07.007
- Establishment and application of intelligent city building information model based on BP neural network model Y. Li & K. Cao 10.1016/j.comcom.2020.02.013
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Latest update: 25 Apr 2024
Short summary
We enhance the urban climate model TEB to take into account for the variety of building use and human behaviour related to building energy consumption. This can improve urban climate simulations and is crucial for quantification of the impact of climate change mitigation and adaptation measures in urban areas (e.g. white roofs, insulation of buildings). An evaluation for Toulouse shows that the enhanced version of TEB captures well the spatio-temporal variability of building energy consumption.
We enhance the urban climate model TEB to take into account for the variety of building use and...
Special issue