Title :
Key performance indicators (KPIs) for evaluation of energy conservation in buildings
Author :
Hussain, Shiraz ; Gabbar, Hossam A. ; Musharavati, Farayi ; Pokharel, Suresh
Author_Institution :
Fac. of Eng. & Appl. Sci., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Abstract :
The main objectives of this paper are to: identify key performance indicators (KPIs) related to intelligent buildings (economical, environmental, reliability, and quality), and; propose a simulation framework for evaluation of these KPIs. Energy simulation of a building is a key to study the energy efficiency in the building. This paper presents an integrated framework based on Google™ SketchUp, OpenStudio, ResultViewer, and EnergyPlus software for energy simulation of a large hotel building with different types of energy zones, loads schedules, and set-points. The aim of this paper is to calculate some important KPIs in a building environment to access the overall efficiency of the building.
Keywords :
buildings (structures); energy conservation; power engineering computing; EnergyPlus software; Google SketchUp; KPI; OpenStudio; ResultViewer; energy conservation; energy efficiency; energy simulation; energy zones; hotel building; intelligent buildings; key performance indicators; loads schedules; set-points; Buildings; Energy consumption; Heating; Humidity; Materials; Mathematical model; Reliability; Energy conservation; KPIs; smart buildings;
Conference_Titel :
Smart Energy Grid Engineering (SEGE), 2013 IEEE International Conference on
Conference_Location :
Oshawa, ON
Print_ISBN :
978-1-4799-2774-6
DOI :
10.1109/SEGE.2013.6707933
