The role of green roofs on reducing heating and cooling loads: a database across Chinese climates

Tools

Kokogiannakis, Georgios, Tietje, Annegret and Darkwa, Jo (2011) The role of green roofs on reducing heating and cooling loads: a database across Chinese climates. Procedia Environmental Sciences, 11 (B). pp. 604-610. ISSN 1878-0296

Full text not available from this repository.

Abstract

This paper aims to use detailed modelling techniques and develop a database for assessing in a quick and easy way the energy performance of green roof designs across a range of Chinese climates. The focus is on heating and cooling loads by calculating indoor temperatures using the EnergyPlus simulation tool. The study covers 5328 configurations by varying model parameters such as location, climate, seasonal periods, glazing type, wall insulation levels, roof insulation, soil thickness and condition, and vegetation density characteristics. It was found from the results that green roofs can offer significant energy savings for heating and cooling loads if they are applied on roofs without insulation but only limited energy savings where heavy insulation on the roof is also applied. This database can prove to be a useful tool to the practitioners who want to perform rapid assessments of the potential energy savings that could be gained from a green roof installation in a Chinese location.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/708845
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Procedia Environmental Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Procedia Environmental Sciences, 11 (2011), doi: 10.1016/j.proenv.2011.12.094
Keywords: Green roofs; Database; Detailed simulation; Heating/cooling loads; Chinese climate;
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering
Identification Number: https://doi.org/10.1016/j.proenv.2011.12.094
Depositing User: Kokogiannakis, Dr Georgios
Date Deposited: 05 Sep 2012 17:04
Last Modified: 04 May 2020 16:31
URI: https://eprints.nottingham.ac.uk/id/eprint/1680

Actions (Archive Staff Only)

Edit View Edit View