| id |
caadria2020_063 |
| authors |
Wang, Chunxiao and Lu, Shuai |
| year |
2020 |
| title |
Influence of Uncertainties in Envelope and Occupant Parameters on the Reliability of Energy-Based Form Optimization of Office Buildings |
| doi |
https://doi.org/10.52842/conf.caadria.2020.1.497
|
| source |
D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 497-506 |
| summary |
Building performance optimization is effective in finding optimal designs and improving building energy efficiency, but its reliability can be affected by uncertainties in input parameters. This paper conducts a reliability analysis on energy-based form optimization of office buildings under uncertainties in envelope and occupancy parameters. An optimization process involving Rhinoceros, EnergyPlus and genetic algorithms is first implemented. Then parametric studies of 644 scenarios involving 4 cities in different climates and 3 form variables are conducted. The results indicate that uncertainties in input parameters could lead to major unreliability of optimization results, including reductions up to 13% in energy saving achieved by optimization and descents up to 10% in energy efficiency compared with results before optimization. Moreover, the uncertainty in visual transmittance of windows is the most significant cause for the unreliability, followed by U-value of walls, while the uncertainty in occupant density and occupant schedule has limited influence. The results can help designers understand the uncertainty of which parameters should be controlled and to what extend optimization results can be trusted in various scenarios. |
| keywords |
Building Performance Optimization; Form Design; Building Energy Efficiency; Uncertainty Analysis; Office Building |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,717,974 bytes) |
| references |
Content-type: text/plain
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Bamdad, K, Michael, CE and Guan, L (2018)
 Building energy optimization under uncertainty using ACOMV algorithm
, Energy and Buildings, 167, pp. 322-333
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, Spon Press
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Nguyen, A, Reiter, S and Rigo, P (2014)
A review on simulation-based optimization methods applied to building performance analysis
, Appl Energy, 113, pp. 1043-58
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| last changed |
2022/06/07 07:58 |
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