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Science and Technology Studies Commons

Open Access. Powered by Scholars. Published by Universities.®

Engineering

2018

Buildings

Articles 1 - 2 of 2

Full-Text Articles in Science and Technology Studies

Driving Increased Utilisation Of Cool Roofs On Large-Footprint Buildings - Final Report, Alan Green, Laia Ledo Gomis, Afroditi Synnefa, Shamila Haddad, R Paolini, Paul Cooper, Jamie Adams, Mark A. Eckermann, Greg Johnson, Georgios Kokogiannakis, Zhenjun Ma, Buyung Kosasih, Mattheos Santamouris Jan 2018

Driving Increased Utilisation Of Cool Roofs On Large-Footprint Buildings - Final Report, Alan Green, Laia Ledo Gomis, Afroditi Synnefa, Shamila Haddad, R Paolini, Paul Cooper, Jamie Adams, Mark A. Eckermann, Greg Johnson, Georgios Kokogiannakis, Zhenjun Ma, Buyung Kosasih, Mattheos Santamouris

Faculty of Engineering and Information Sciences - Papers: Part B

This is the final report for the Driving Increased Utilisation of Cool Roofs on Large Footprint Buildings project, providing case studies about how cool roof technology reduces the amount of heat transmitted into buildings on hot days, and in turn the amount of air-conditioning required for cooling.


A Two-Level Clustering Strategy For Energy Performance Evaluation Of University Buildings, Kehua Li, Zhenjun Ma, Duane A. Robinson, Jun Ma Jan 2018

A Two-Level Clustering Strategy For Energy Performance Evaluation Of University Buildings, Kehua Li, Zhenjun Ma, Duane A. Robinson, Jun Ma

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents a clustering strategy to evaluate the energy performance and identify typical daily load profiles of buildings. The cluster analysis included intra-building clustering and inter-building clustering. The intra-building clustering used Gaussian mixture model clustering to identify the typical daily load profiles of each individual building. The inter-building clustering used hierarchical clustering to further identify the typical daily load profiles of a stock of buildings based on the typical daily load profiles identified for each individual building. The performance of this strategy was tested and evaluated using the two-year hourly electricity consumption data collected from 40 buildings on a …