Abstract

Abstract. The anthropogenic heat flux can be an important part of the urban surface energy balance. Some of it is due to energy consumption inside buildings, which depends on building use and human behaviour, both of which are very heterogeneous in most urban areas. Urban canopy parametrisations (UCP), such as the Town Energy Balance (TEB), parametrise the effect of the buildings on the urban surface energy balance. They contain a simple building energy model. However, the variety of building use and human behaviour at grid point scale has not yet been represented in state of the art UCPs. In this study, we describe how we enhance the Town Energy Balance in order to take fractional building use and human behaviour into account. We describe how we parametrise different behaviours and initialise the model for applications in France. We evaluate the spatio-temporal variability of the simulated building energy consumption for the city of Toulouse. We show that a more detailed description of building use and human behaviour enhances the simulation results. The model developments lay the groundwork for simulations of coupled urban climate and building energy consumption which are relevant for both the urban climate and the climate change mitigation and adaptation communities.

Highlights

  • It is well known that the local climate differs between urban and surrounding rural areas

  • We describe how we enhance the Town Energy Balance (TEB) (Masson, 2000) coupled to the Building energy model (BEM) (Bueno et al, 2012) in order to parametrise the variety of building use and human behaviour related to building energy consumption

  • We describe only those modifications of TEB that relate to human behaviour and the building energy model with respect to the version implemented in SURFEX-v7.3 described by Bueno et al (2012) and Pigeon et al (2014)

Read more

Summary

Introduction

It is well known that the local climate differs between urban and surrounding rural areas. – A UCP–BEM requires various input parameters, with one part related to building use, equipment and human behaviour: for example the fraction of buildings equipped with heating and air conditioning systems and the way these are used, the internal heat release due to electrical appliances, and the practices concerning ventilation and shading These parameters are often not well known for a given urban agglomeration. Detailed information on the representation of behaviours like heating, air conditioning, ventilation and shading is provided in Appendix A We describe only those modifications of TEB that relate to human behaviour and the building energy model with respect to the version implemented in SURFEX-v7.3 described by Bueno et al (2012) and Pigeon et al (2014)

Human behaviour in urban canopy parametrisations
Main purpose of TEB enhancement
Modification of TEB Equations
Validation for idealised cases
Building use and human behaviour in France
Datasets
Building use
Human behaviour in residential buildings
Behaviours in non-residential buildings
Inventory of building energy consumption
Model set-up
Meteorological forcing
Urban morphology and building architecture
Model experiments
Domain-aggregated building energy consumption
Spatial distribution of building energy consumption
Influence of fractional behaviour on computation time
Conclusions
Schedules of building occupation
Design temperature for heating and air conditioning
Internal heat release
Shading
Ventilation
Air exchange rate due to infiltration
Surface ratios
View factors
Findings
Nfloorfbld
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call