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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy and Buildingsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy and Buildings
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Use of a thermo-module as a soil heat flux sensor: Applications in the evaluation of extensive green roof thermal performance

Authors: T. Momose; Jeremy Lundholm;

Use of a thermo-module as a soil heat flux sensor: Applications in the evaluation of extensive green roof thermal performance

Abstract

Abstract Green roofs are a component of energy-saving architecture. Building energy savings due to green roofs are a function of both vegetation and substrate properties. Direct empirical measurements of heat flux through green roof layers represent a method for comparing green roof vegetation or substrate types, but these methods are limited by the expense of heat flux sensors. This paper proposes to use an inexpensive thermo-module for heat flux measurements. The thermo-module heat flux sensor had a big advantage for both expense and measuring sensitivity compared to a commercial heat flux meter: two orders of magnitude less cost and exceeding three times higher sensitivity. Then the thermo-module heat flux sensors were installed in a replicated extensive green roof, comparing heat flux measurements during winter conditions on a roof in western Japan among seven different vegetation type treatments. Vegetation had strong effects on both temporal mean and range of heat flux values. The strongest performing plant type was Luzula capitata, a low-growing graminoid with dense leaf cover even in winter, showing up to 50% less heat loss than the poorest performing species. This kind of sensor is recommended for further replicated empirical comparisons of green roofs or other energy-saving architectural technologies.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%