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

Author

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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)

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.

Suggested Citation

  • Young Tae Chae & Young M. Lee & David Longinott, 2016. "Assessment of Retrofitting Measures for a Large Historic Research Facility Using a Building Energy Simulation Model," Energies, MDPI, vol. 9(6), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:466-:d:72232
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    References listed on IDEAS

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    1. Rahman, M.M. & Rasul, M.G. & Khan, M.M.K., 2010. "Energy conservation measures in an institutional building in sub-tropical climate in Australia," Applied Energy, Elsevier, vol. 87(10), pages 2994-3004, October.
    2. Manfren, Massimiliano & Aste, Niccolò & Moshksar, Reza, 2013. "Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation," Applied Energy, Elsevier, vol. 103(C), pages 627-641.
    3. Saari, Arto & Kalamees, Targo & Jokisalo, Juha & Michelsson, Rasmus & Alanne, Kari & Kurnitski, Jarek, 2012. "Financial viability of energy-efficiency measures in a new detached house design in Finland," Applied Energy, Elsevier, vol. 92(C), pages 76-83.
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    Cited by:

    1. Marianna Rotilio & Federica Cucchiella & Pierluigi De Berardinis & Vincenzo Stornelli, 2018. "Thermal Transmittance Measurements of the Historical Masonries: Some Case Studies," Energies, MDPI, vol. 11(11), pages 1-18, November.
    2. Ana Ogando & Natalia Cid & Marta Fernández, 2017. "Energy Modelling and Automated Calibrations of Ancient Building Simulations: A Case Study of a School in the Northwest of Spain," Energies, MDPI, vol. 10(6), pages 1-17, June.

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