DocumentCode
169304
Title
Computer-supported methodologies to estimate the eave effect on building energy consumption
Author
Song, Wheyming Tina ; Lin, G. ; Zih-Yi Wu
Author_Institution
Dept. of Ind. Eng. Nat., Tsing Hua Univ. Hsinchu, Hsinchu, Taiwan
fYear
2014
fDate
21-23 May 2014
Firstpage
721
Lastpage
726
Abstract
Buildings (both commercial and residential) are known to have the greatest percentage of overall energy consumption than any other end-user sectors, such as transportation and industry factories. An obvious question for energy consumption analysis is how to reduce building energy consumption. This paper investigates whether buildings with eaves consume significantly less energy compared to those without eaves. Results show that the eaves effect can reduce energy consumption without exception. Specifically, the average energy consumption reduction with eave exceeds 10% for high or low latitude and hospital and hotel. The methodologies applied integrate several computer-supported cooperative tools, including a building-simulation tool called EnergyPlus and a simulation meta model.
Keywords
building management systems; energy consumption; power engineering computing; EnergyPlus; building energy consumption; building-simulation tool; computer-supported cooperative tools; eave effect estimation; energy consumption analysis; industry factories; simulation meta model; transportation; Analytical models; Buildings; Computational modeling; Electronic mail; Energy consumption; Hospitals; Plugs; Building-simulation; Energy Consumption; EnergyPlus;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
Conference_Location
Hsinchu
Type
conf
DOI
10.1109/CSCWD.2014.6846934
Filename
6846934
Link To Document