The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
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
Climatic potential for passive cooling of buildings by night-time ventilation in Europe
Artmann, N., Manz, H., & Heiselberg, P. (2006) · Applied Energy · doi:10.1016/j.apenergy.2006.05.004 · Cited by 280
Climate change impacts on building heating and cooling energy demand in Switzerland
Frank, T. (2005) · Energy and Buildings · doi:10.1016/j.enbuild.2005.06.019 · Cited by 268
Khalifa, A. J. N., & Marshall, R. H. (1990) · International Journal of Heat and Mass Transfer · doi:10.1016/0017-9310(90)90122-b · Cited by 235
Natural convection from heated room surfaces
Awbi, H., & Hatton, A. P. (1999) · Energy and Buildings · doi:10.1016/s0378-7788(99)00004-3 · Cited by 220
Natural convective heat transfer coefficient – a review
Khalifa, A. J. N. (2001) · Energy Conversion and Management · doi:10.1016/s0196-8904(00)00042-x · Cited by 207
COMIS—an international multizone air-flow and contaminant transport model
Feustel, H. E. (1999) · Energy and Buildings · doi:10.1016/s0378-7788(98)00043-7 · Cited by 207
06/01730 Climate change impacts on building heating and cooling energy demand in Switzerland
(2006) · Fuel and Energy Abstracts · doi:10.1016/s0140-6701(06)81736-4 · Cited by 198
Adaptive temperature limits: A new guideline in The Netherlands
van der Linden, A. C., Boerstra, A., Raue, A. K., Kurvers, S. R., & de Dear, R. (2005) · Energy and Buildings · doi:10.1016/j.enbuild.2005.02.008 · Cited by 183
Improved data correlations for buoyancy-driven convection in rooms
Alamdari, F. E., & Hammond, G. P. (1983) · Building Services Engineering Research and Technology · doi:10.1177/014362448300400304 · Cited by 179
Haase, M., & Amato, A. (2008) · Solar Energy · doi:10.1016/j.solener.2008.08.015 · Cited by 168
Which Weather Data Should You Use for Energy Simulations of Commercial Buildings
Crawley, D. B. (1998) · Cited by 144
On the cooling potential of night ventilation techniques in the urban environment
Geros, V., Santamouris, M., Karatasou, S., Tsangrassoulis, A., & Papanikolaou, N. (2004) · Energy and Buildings · doi:10.1016/j.enbuild.2004.06.024 · Cited by 142
Parameter study on performance of building cooling by night-time ventilation
Artmann, N., Manz, H., & Heiselberg, P. (2008) · Renewable Energy · doi:10.1016/j.renene.2008.02.025 · Cited by 133
Natural ventilation for passive cooling: measurement of discharge coefficients
Flourentzou, F., der Maas, J. V., & Roulet, C.-A. (1998) · Energy and Buildings · doi:10.1016/s0378-7788(97)00043-1 · Cited by 128
Asimakopoulos, D. N., & Santamouris, M. (2013) · Routledge eBooks · doi:10.4324/9781315073668-7 · Cited by 117
Uncertainty in predictions of thermal comfort in buildings
de Wit, M. S. (2001) · Cited by 114
Climatic and internal factors affecting future UK office heating and cooling energy consumptions
Jenkins, D. P., Liu, Y., & Peacock, A. (2007) · Energy and Buildings · doi:10.1016/j.enbuild.2007.06.006 · Cited by 92
Night ventilation control strategies in office buildings
Wang, Z., Yi, L., & Gao, F. (2009) · Solar Energy · doi:10.1016/j.solener.2009.07.003 · Cited by 75
Thermal indoor climate building performance characterized by human comfort response
van der Linden, K., Boerstra, A., Raue, A. K., & Kurvers, S. R. (2002) · Energy and Buildings · doi:10.1016/s0378-7788(01)00144-x · Cited by 62
Impact of adaptive comfort criteria and heat waves on optimal building thermal mass control
Henze, G. P., Pfafferott, J., Herkel, S., & Felsmann, C. (2006) · Energy and Buildings · doi:10.1016/j.enbuild.2006.06.006 · Cited by 55
Heat Gain From Office Equipment
Wilkins, C. K. (2000) · ASHRAE journal · Cited by 52
Sensitivity analysis of a maritime located night ventilated library building
Finn, D., Connolly, D., & Kenny, P. (2007) · Solar Energy · doi:10.1016/j.solener.2006.10.008 · Cited by 50
Probabilistic analysis of air infiltration in low-rise buildings
Pietrzyk, K., & Hagentoft, C.-E. (2007) · Building and Environment · doi:10.1016/j.buildenv.2007.01.024 · Cited by 47
Quantifying the effects of uncertainty in building simulation
Macdonald, I. A. (2002) · NPARC · Cited by 46
Impact of climate warming on passive night cooling potential
Artmann, N., Gyalistras, D., Manz, H., & Heiselberg, P. (2008) · Building Research & Information · doi:10.1080/09613210701621919 · Cited by 44
Statistical simulation of user behaviour in low-energy office buildings
Pfafferott, J., & Herkel, S. (2006) · Solar Energy · doi:10.1016/j.solener.2006.08.011 · Cited by 40
Performance evaluation of indirect evaporative cooling using whole-building hygrothermal simulations
Steeman, M., Janssens, A., & De Paepe, M. (2009) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2009.02.004 · Cited by 38
Self-citationAnalysis of uncertainty in natural ventilation predictions of high-rise apartment buildings
Hyun, S., Park, C., & Augenbroe, G. (2008) · Building Services Engineering Research and Technology · doi:10.1177/0143624408092424 · Cited by 37
Knoll, B., Phaff, J. C., & de Gids, W. F. (1995) · TNO Repository · Cited by 33
Air leakage characteristics, test methods and specifications for large buildings
Proskiw, G., & Phillips, B. M. (2001) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 25
Sensitivity analysis and validation of buildings' thermal models using adjoint-code method
Aude, P., Tabary, L., & Depecker, P. (2000) · Energy and Buildings · doi:10.1016/s0378-7788(99)00033-x · Cited by 25
An evaluation exercise of a multizone air flow model
Borchiellini, R., & Fürbringer, J.-M. (1999) · Energy and Buildings · doi:10.1016/s0378-7788(98)00045-0 · Cited by 17
Breesch, H. (2006) · Ghent University Academic Bibliography (Ghent University) · Cited by 16
Self-citationUncertainty analysis for building performance simulation - a comparison of four tools
Hopfe, C. J., Struck, C., Kotek, P., Schijndel, V. A. J., Hensen, J. J., & Plokker, W. (2007) · TU/e Research Portal · Cited by 14
Weber, A. (., Koschenz, M., Dorer, V., Hiller, M. (., & Holst, S. (2003) · DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)) · Cited by 9
Simulating natural ventilation: coupling thermal and ventilation model.
Breesch, H., & Janssens, A. (2002) · Ghent University Academic Bibliography (Ghent University) · Cited by 5
Self-citationAssessment of innovative ventilation in the framework of the EPBD—A probabilistic approach
Heijmans, N., Wouters, P., & Loncour, X. (2007) · Building and Environment · doi:10.1016/j.buildenv.2007.01.044 · Cited by 4
Energy simulation for a typical small office building in Indonesia
Andarini, R., Schranzhofer, H., & Streicher, W. (2008) · Cited by 3
96/04261 Implementing the results of ventilation research
(1996) · Fuel and Energy Abstracts · doi:10.1016/0140-6701(96)82544-6 · Cited by 2
Flagged first, then by citations
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.
Cited by
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A review of sensitivity analysis methods in building energy analysis
Tian, W. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.12.014 · Cited by 986
A review of uncertainty analysis in building energy assessment
Tian, W., Heo, Y., de Wilde, P., Li, Z., Yan, D., Park, C. S., Feng, X., & Augenbroe, G. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.05.029 · Cited by 460
Passive cooling dissipation techniques for buildings and other structures: The state of the art
Santamouris, M., & Kolokotsa, D. D. (2012) · Energy and Buildings · doi:10.1016/j.enbuild.2012.11.002 · Cited by 447
Mirsadeghi, M., Cóstola, D. D., Blocken, B. J. E., & Hensen, J. J. (2013) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2013.03.003 · Cited by 370
A comprehensive review on passive design approaches in green building rating tools
Chen, X., Yang, H., & Lu, L. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.06.003 · Cited by 307
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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