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

fYear

2013

fDate

28-30 Aug. 2013

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Smart Energy Grid Engineering (SEGE), 2013 IEEE International Conference on

Conference_Location

Oshawa, ON

Print_ISBN

978-1-4799-2774-6

Type

conf

DOI

10.1109/SEGE.2013.6707933

Filename

6707933