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Issues to Be Solved for Energy Simulation of An Existing Office Building

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  • Ki Uhn Ahn

    (School of Civil, Architectural Engineering and Landscape Architecture, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea)

  • Deuk Woo Kim

    (Convergence Research Planning Division, Korea Institute of Civil Engineering and Building Technology, Daehwa-Dong 283, Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi 411-712, Korea)

  • Young Jin Kim

    (Division of Architecture, Architectural Engineering and Civil Engineering, Sunmoon University, Asan, Chungnam 336-708, Korea)

  • Seong Hwan Yoon

    (Center for Built Environment, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea)

  • Cheol Soo Park

    (School of Civil, Architectural Engineering and Landscape Architecture, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea)

Abstract

With the increasing focus on low energy buildings and the need to develop sustainable built environments, Building Energy Performance Simulation (BEPS) tools have been widely used. However, many issues remain when applying BEPS tools to existing buildings. This paper presents the issues that need to be solved for the application of BEPS tools to an existing office building. The selected building is an office building with 33 stories above ground, six underground levels, and a total floor area of 91,898 m 2 . The issues to be discussed in this paper are as follows: (1) grey data not ready for simulation; (2) subjective assumptions and judgments on energy modeling; (3) stochastic characteristics of building performance and occupants behavior; (4) verification of model fidelity-comparison of aggregated energy; (5) verification of model fidelity-calibration by trial and error; and (6) use of simulation model for real-time energy management. This study investigates the aforementioned issues and explains the factors that should be considered to address these issues when developing a dynamic simulation model for existing buildings.

Suggested Citation

  • Ki Uhn Ahn & Deuk Woo Kim & Young Jin Kim & Seong Hwan Yoon & Cheol Soo Park, 2016. "Issues to Be Solved for Energy Simulation of An Existing Office Building," Sustainability, MDPI, vol. 8(4), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:345-:d:67746
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    References listed on IDEAS

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    1. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
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    Cited by:

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    2. Hyo-Jun Kim & Ji-Hyun Shin & Jae Hun Jo & Young-Hum Cho, 2020. "Development of Air Flow Rate Prediction Model Using Multiple Regression in VAV Terminal Unit," Energies, MDPI, vol. 13(10), pages 1-10, May.
    3. Andrea Zambito & Giovanni Pernigotto & Simon Pezzutto & Andrea Gasparella, 2022. "Parametric Urban-Scale Analysis of Space Cooling Energy Needs and Potential Photovoltaic Integration in Residential Districts in South-West Europe," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    4. Fahad Haneef & Giovanni Pernigotto & Andrea Gasparella & Jérôme Henri Kämpf, 2021. "Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    5. Kuo-Liang Lin & Ming-Young Jan & Chien-Sen Liao, 2017. "Energy Consumption Analysis for Concrete Residences—A Baseline Study in Taiwan," Sustainability, MDPI, vol. 9(2), pages 1-13, February.

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