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

LAM, Khee Poh, ZHAO, Jie, YDSTIE, Erik B., WIRICK, Jason, QI, Meiwei and PARK, Ji Hyun (2014). An EnergyPlus whole building energy model calibration method for office buildings using occupant behavior data mining and empirical data. ASHRAE Journal, 160-167.

Preview

PDF J.Park_energyplus.pdf - Published Version All rights reserved. Download (2MB) | Preview

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.

Item Type:	Article
Additional Information:	2014 ASHRAE/IBPSA-USA Building Simulation Conference Atlanta,September 10-12, 2014
Uncontrolled Keywords:	Department of Natural and Build Environment; Architecture; Energy; Built Environment & Design; energy simulation; data analysis; 0913 Mechanical Engineering; Building & Construction
Page Range:	160-167
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	25 Apr 2019 12:53
Last Modified:	18 Mar 2021 02:19
URI:	https://shura.shu.ac.uk/id/eprint/24089

Actions (login required)

View Item

Downloads

Publication Metrics