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Performance evaluation of passive cooling in office buildings based on uncertainty and sensitivity analysis
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“The probability of discomfort increases significantly when recent and warmer weather data sets are assumed.”
From Resilient cooling strategies – A critical review and qualitative assessment (2021) · cites this paper as [184]
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Cites
Thermal comfort: Analysis and applications in environmental engineering
Fanger, P. O. (1972) · Applied Ergonomics · doi:10.1016/s0003-6870(72)80074-7 · Cited by 4,515
ASHRAE Handbook—1981 Fundamentals
(1981) · Building Services Engineering Research and Technology · doi:10.1177/014362448100200409 · Cited by 3,398
(1998) · De Gruyter eBooks · doi:10.1515/9783110809817.1 · Cited by 1,490
Updating the Davenport roughness classification
Wieringa, J. (1992) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/0167-6105(92)90434-c · Cited by 633
Passive and low energy cooling of buildings
(1995) · Choice Reviews Online · doi:10.5860/choice.32-2759 · Cited by 430
Natural Ventilation in Buildings, a Design Handbook
Allard, F. (1998) · HAL · Cited by 364
Application of sensitivity analysis in design of sustainable buildings
Heiselberg, P., Brohus, H., Hesselholt, A. T., Rasmussen, H., Seinre, E., & Thomas, S. (2009) · Renewable Energy · doi:10.1016/j.renene.2009.02.016 · Cited by 360
Kolokotroni, M., Giannitsaris, I., & Watkins, R. (2005) · Solar Energy · doi:10.1016/j.solener.2005.03.010 · Cited by 347
Climate change, thermal comfort and energy: Meeting the design challenges of the 21st century
Holmes, M. J., & Hacker, J. N. (2007) · Energy and Buildings · doi:10.1016/j.enbuild.2007.02.009 · Cited by 337
Asimakopoulos, D. N. (2013) · Routledge eBooks · doi:10.4324/9781315073668 · Cited by 311
Research works printed but not linked: 4
- Hens, 1992, Air–wind tightness of pitched roofs – their real behaviour, Bauphysik, 14, 161
- Hensen, J.L., 1995. Modeling coupled heat and air flow: ping-pong vs onions. In: 16th AIVC Conference: Implementing the Results of Ventilation Research. Palm Springs, USA.
- Kolokotroni, M., 1995. Night ventilation in commercial buildings. Annex 28: Low Energy Cooling, Subtask 1. IEA, United Kingdom, pp. 7–11.
- van Paassen, A.H.C., Liem, S.H., Gröninger, B.P., 1998. Control of night cooling with natural ventilation: sensitivity analysis of control strategies and vent openings. In: 19th AIVC Conference, Oslo, Norway, AIVC, pp. 438–447.
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Chen, X., Yang, H., & Lu, L. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.06.003 · Cited by 307
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Chen, X., Yang, H., & Zhang, W. (2015) · Energy · doi:10.1016/j.energy.2015.10.061 · Cited by 57
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Metadata
- Authors
- Breesch, H., & Janssens, A.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Breesch, H.
- Venue
- Solar Energy
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 84
- Issue
- 8
- Pages
- 1453-1467
- ISSN
- 0038-092X (ISSN-L)
- OpenAlex
- W2088495171
- Cited by
- 143
- References
- 49
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 9 · 2023: 8 · 2022: 17 · 2021: 11 · 2020: 15 · 2019: 9 · 2018: 11 · 2017: 10 · 2016: 12 · 2015: 7 · 2014: 8 · 2013: 10 · 2012: 9
- FWCI
- 18.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Solar Energy (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
- Physical Sciences › Engineering › Building and Construction › Solar Energy Systems and Technologies
- Keywords
- passive cooling, office buildings, thermal comfort, uncertainty analysis, sensitivity analysis, global warming, stack ventilation, cross ventilation, building energy simulation, discharge coefficient, wind pressure coefficient, thermal mass, internal heat gains, solar heat gain coefficient, building orientation, indoor climate, climate change adaptation, building design decision-making
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