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Influence of extensive green roofs to the local microclimate: cooling assessment for a social housing project in the south of Brazil

Fachinello Krebs, Lisandra LU ; Johansson, Erik LU ; Krebs, Carlos ; Fedrizzi, Beatriz and Grala da Cunha, Eduardo (2017) 2. p.2880-2887
Abstract
This study analyses the influence of green roofs in different heights of the urban canopy layer: from the pedestrian level, up to 1m above the rooftop, in a social housing project in the South of Brazil. In order to quantify the cooling contribution of green roofs to the local microclimate, the housing project was simulated with ENVI-met 4.0 in the summer season. The variables used to assess the green roof performance were the air temperature and the mean radiant temperature. Five roofs were modelled - the original roof with ceramic tiles as the baseline and four green roofs with variation in leaf heights (20cm and 40cm) and Leaf Area Indexes (1 and 2). The results indicate that the influence of extensive green roofs to the outdoor is... (More)
This study analyses the influence of green roofs in different heights of the urban canopy layer: from the pedestrian level, up to 1m above the rooftop, in a social housing project in the South of Brazil. In order to quantify the cooling contribution of green roofs to the local microclimate, the housing project was simulated with ENVI-met 4.0 in the summer season. The variables used to assess the green roof performance were the air temperature and the mean radiant temperature. Five roofs were modelled - the original roof with ceramic tiles as the baseline and four green roofs with variation in leaf heights (20cm and 40cm) and Leaf Area Indexes (1 and 2). The results indicate that the influence of extensive green roofs to the outdoor is local, being more significant near the roof both in height and position (in plain view) - where the main reduction was found in mean radiant temperature. No significant cooling effect was found at the pedestrian level or from a meter above the roofs. (Less)
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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Green roofs, Thermal comfort, Simulation model
host publication
Design to Thrive - Proceedings of the 33rd international conference on Passive and Low Energy Architecture (PLEA)
volume
2
pages
2880 - 2887
external identifiers
  • scopus:85068850581
language
English
LU publication?
yes
id
e80ea061-ecf8-461c-9f44-b26edeb5b12c
date added to LUP
2019-05-22 20:58:48
date last changed
2020-08-23 05:21:30
@inproceedings{e80ea061-ecf8-461c-9f44-b26edeb5b12c,
  abstract     = {This study analyses the influence of green roofs in different heights of the urban canopy layer: from the pedestrian level, up to 1m above the rooftop, in a social housing project in the South of Brazil. In order to quantify the cooling contribution of green roofs to the local microclimate, the housing project was simulated with ENVI-met 4.0 in the summer season. The variables used to assess the green roof performance were the air temperature and the mean radiant temperature. Five roofs were modelled - the original roof with ceramic tiles as the baseline and four green roofs with variation in leaf heights (20cm and 40cm) and Leaf Area Indexes (1 and 2). The results indicate that the influence of extensive green roofs to the outdoor is local, being more significant near the roof both in height and position (in plain view) - where the main reduction was found in mean radiant temperature. No significant cooling effect was found at the pedestrian level or from a meter above the roofs.},
  author       = {Fachinello Krebs, Lisandra and Johansson, Erik and Krebs, Carlos and Fedrizzi, Beatriz and Grala da Cunha, Eduardo},
  booktitle    = {Design to Thrive - Proceedings of the 33rd international conference on Passive and Low Energy Architecture (PLEA)},
  language     = {eng},
  pages        = {2880--2887},
  title        = {Influence of extensive green roofs to the local microclimate: cooling assessment for a social housing project in the south of Brazil},
  volume       = {2},
  year         = {2017},
}