Assessment of Retrofitting Measures for a Large Historic Research Facility Using a Building Energy Simulation Model

Young Tae Chae, Young M. Lee and David Longinott
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Young Tae Chae: Department of Architectural Engineering, Cheongju University, Daesung-Ro, Cheongju 28053, Korea
Young M. Lee: IBM Thomas. J. Watson Research Center, Yorktown Heights, NY 10598, USA
David Longinott: IBM Thomas. J. Watson Research Center, Yorktown Heights, NY 10598, USA

Energies, 2016, vol. 9, issue 6, 1-18

Abstract: 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: historic research facility; whole building energy simulation; energy conservation measures (ECMs); system retrofitting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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