• 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