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

Ki Uhn Ahn, Deuk Woo Kim, Young Jin Kim, Seong Hwan Yoon and Cheol Soo Park
Additional contact information
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

Sustainability, 2016, vol. 8, issue 4, 1-12

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.

Keywords: energy simulation; EnergyPlus; performance gap; office building; grey data; calibration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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