An energyplus whole building energy model calibration method for office buildings using occupant behavior data mining and empirical data

Khee Poh Lam, Jie Zhao, Erik B. Ydstie, Jason Wirick, Meiwei Qi, Jihyun Park

Research output: Contribution to conferencePaperpeer-review

39 Scopus citations

Abstract

This paper proposes a method comprising procedures to calibrate an EnergyPlus whole building energy model. An occupant behavior data mining procedure is developed and tested in an office building. Workday occupancy schedules are generated by mining the office appliance energy consumption data. Hourly and monthly power, energy, and temperature data are collected and used for lighting, equipment and HVAC systems energy performance calibration. The result shows a 1.27% mean bias error for the total annual energy use intensity. The proposed calibration method provides a scientific and systematic framework to conduct high accuracy EnergyPlus model calibration.

Original languageEnglish
Pages160-167
Number of pages8
StatePublished - 2014
Event2014 ASHRAE/IBPSA-USA Building Simulation Conference - Atlanta, United States
Duration: 10 Sep 201412 Sep 2014

Conference

Conference2014 ASHRAE/IBPSA-USA Building Simulation Conference
Country/TerritoryUnited States
CityAtlanta
Period10/09/1412/09/14

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