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Sustainability 2016, 8(4), 345; doi:10.3390/su8040345

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

1
School of Civil, Architectural Engineering and Landscape Architecture, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea
2
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
3
Division of Architecture, Architectural Engineering and Civil Engineering, Sunmoon University, Asan, Chungnam 336-708, Korea
4
Center for Built Environment, SungKyunKwan University, Suwon, Gyeonggi 440-746, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 20 February 2016 / Revised: 21 March 2016 / Accepted: 29 March 2016 / Published: 7 April 2016
(This article belongs to the Section Sustainable Engineering and Science)
View Full-Text   |   Download PDF [2470 KB, uploaded 7 April 2016]   |  

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 m2. 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. View Full-Text
Keywords: energy simulation; EnergyPlus; performance gap; office building; grey data; calibration energy simulation; EnergyPlus; performance gap; office building; grey data; calibration
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ahn, K.U.; Kim, D.W.; Kim, Y.J.; Yoon, S.H.; Park, C.S. Issues to Be Solved for Energy Simulation of An Existing Office Building. Sustainability 2016, 8, 345.

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