LAPSE:2018.1162
Published Article
LAPSE:2018.1162
Assessment of Retrofitting Measures for a Large Historic Research Facility Using a Building Energy Simulation Model
Young Tae Chae, Young M. Lee, David Longinott
November 28, 2018
A calibrated building simulation model was developed to assess the energy performance of a large historic research building. The complexity of space functions and operational conditions with limited availability of energy meters makes it hard to understand the end-used energy consumption in detail and to identify appropriate retrofitting options for reducing energy consumption and greenhouse gas (GHG) emissions. An energy simulation model was developed to study the energy usage patterns not only at a building level, but also of the internal thermal zones, and system operations. The model was validated using site measurements of energy usage and a detailed audit of the internal load conditions, system operation, and space programs to minimize the discrepancy between the documented status and actual operational conditions. Based on the results of the calibrated model and end-used energy consumption, the study proposed potential energy conservation measures (ECMs) for the building envelope, HVAC system operational methods, and system replacement. It also evaluated each ECM from the perspective of both energy and utility cost saving potentials to help retrofitting plan decision making. The study shows that the energy consumption of the building was highly dominated by the thermal requirements of laboratory spaces. Among other ECMs the demand management option of overriding the setpoint temperature is the most cost effective measure.
Keywords
energy conservation measures (ECMs), historic research facility, system retrofitting, whole building energy simulation
Suggested Citation
Chae YT, Lee YM, Longinott D. Assessment of Retrofitting Measures for a Large Historic Research Facility Using a Building Energy Simulation Model. (2018). LAPSE:2018.1162
Author Affiliations
Chae YT: Department of Architectural Engineering, Cheongju University, Daesung-Ro, Cheongju 28053, Korea
Lee YM: IBM Thomas. J. Watson Research Center, Yorktown Heights, NY 10598, USA
Longinott D: IBM Thomas. J. Watson Research Center, Yorktown Heights, NY 10598, USA
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Journal Name
Energies
Volume
9
Issue
6
Article Number
E466
Year
2016
Publication Date
2016-06-17
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en9060466, Publication Type: Journal Article
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LAPSE:2018.1162
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doi:10.3390/en9060466
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Nov 28, 2018
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CC BY 4.0
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Nov 28, 2018
 
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Calvin Tsay
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