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Cool and Green Roofs for Storage Buildings in Various Climates

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Conference object 01 Jan 2016 United Kingdom Publisher:Elsevier BVJournal:Procedia Engineering, volume 169, pages 350-358 (issn: 1877-7058,

Authors: Kolokotroni, M; Wines, C; Babiker, RMA; Da Silva, BH;

doi: 10.1016/j.proeng.2016.10.043

Cool and Green Roofs for Storage Buildings in Various Climates

- Summary
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Abstract

A computational analysis of the impact on energy use of green and cool roofing techniques applied to a typical steel goods storage building in five distinct climates whilst considering the local thermal building practice of each region is presented. The green roof simulations show a consistently positive impact on energy efficiency. The cool roof simulations indicate overall energy savings in hot/dry and hot/humid climates where the rejection of solar heat gain leads to reduced cooling load. Significant energy use reduction is predicted for less well insulated structures. CO2 emissions reduction is dependent on fuel use for heating/cooling in each region.

Country

United Kingdom

Related Organizations

Brunel University London
United Kingdom
Brunel University London
United Kingdom

Keywords

Storage buildings, Energy demand, Heating, Environmental impact, Cool roof, Green roof, Cooling, Engineering(all)

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).	12
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%