References(49)
Bian Y, Luo T (2017). Investigation of visual comfort metrics from subjective responses in China: A study in offices with daylight. Building and Environment, 123: 661-671.
Bluyssen PM, Aries M, van Dommelen P (2011). Comfort of workers in office buildings: The European HOPE project. Building and Environment, 46: 280-288.
Burnham JF (2006). Scopus database: a review. Biomedical Digital Libraries, 3: 1.
Cannavale A, Fiorito F, Resta D, Gigli G (2013). Visual comfort assessment of smart photovoltachromic windows. Energy and Buildings, 65: 137-145.
Cannavale A, Hörantner M, Eperon GE, Snaith HJ, Fiorito F, Ayr U, Martellotta F (2017). Building integration of semitransparent perovskite-based solar cells: Energy performance and visual comfort assessment. Applied Energy, 194: 94-107.
Carlopio JR (1996). Construct validity of a physical work environment satisfaction questionnaire. Journal of Occupational Health Psychology, 1: 330-344.
Carlucci S, Causone F, de Rosa F, Pagliano L (2015). A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design. Renewable and Sustainable Energy Reviews, 47: 1016-1033.
Chatzikonstantinou I, Sariyildiz S (2016). Approximation of simulation- derived visual comfort indicators in office spaces: a comparative study in machine learning. Architectural Science Review, 59: 307-322.
Costanzo V, Donn M (2017). Thermal and visual comfort assessment of natural ventilated office buildings in Europe and North America. Energy and Buildings, 140: 210-223.
Cuttle C (2015). Lighting Design: A Perception-Based Approach. Abingdon, UK: Routledge.
Davoodi A (2016). Lighting simulation for a more value-driven building design process. Licentiate Thesis, Lund University, Sweden.
Davoodi A, Johansson P, Henricson M, Aries M (2017). A conceptual framework for integration of evidence-based design with lighting simulation tools. Buildings, 7: 82.
Dillon R Vischer JC (1987). Derivation of the Tenant Questionnaire Survey assessment method: Office building occupant survey data analysis, Public works Canada.
Dykes C, Baird G (2013). A review of questionnaire-based methods used for assessing and benchmarking indoor environmental quality. Intelligent Buildings International, 5: 135-149.
Goodman LA (1961). Snowball sampling. The Annals of Mathematical Statistics, 32: 148-170.
Heschong L, Wymelenberg VD, Andersen M, Digert N, Fernandes L, Keller A, Loveland J, McKay H, Mistrick R, Mosher B (2012). IES LM-83-12. Approved Method: IES Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE), IES-Illuminating Engineering Society.
Hien WN, Poh LK, Feriadi H (2000). The use of performance-based simulation tools for building design and evaluation—a Singapore perspective. Building and Environment, 35: 709-736.
Hygge S Lofberg H (1997). User evaluation of visual comfort in some buildings of the Daylight Europe Project. In: Proceedings of Right Light Four, the fourth European conference on Energy-Efficient Lighting, Copenhagen, Denmark, vol. 2, pp. 69-74.
Jakubiec JA Reinhart CF (2011). DIVA 2.0: integrating daylight and thermal simulations using Rhinoceros 3D, Daysim and Energyplus. In: Proceedings of the 12th International IBPSA Building Simulation Conference, Sydney, Australia.
Jakubiec JA, Reinhart CF (2012). The “adaptive zone”—A concept for assessing discomfort glare throughout daylit spaces. Lighting Research & Technology, 44: 149-170.
Jakubiec JA, Reinhart CF, Van Den Wymelenberg K (2015). Towards an integrated framework for predicting visual comfort conditions from luminance-based metrics in perimeter daylit spaces. In: Proceedings of the 14th International IBPSA Building Simulation Conference, Hyderabad, India.
Kent MG, Fotios S, Altomonte S (2019a). An experimental study on the effect of visual tasks on discomfort due to peripheral glare. Leukos, 15: 17-28.
Kent MG, Fotios S, Altomonte S (2019b). Discomfort glare evaluation: The influence of anchor bias in luminance adjustments. Lighting Research & Technology, 51: 131-146.
Konis K, Lee E Clear R (2011). Visual comfort analysis of innovative interior and exterior shading systems for commercial buildings using high resolution luminance images. Leukos, 7: 167-188.
Konis K (2013). Evaluating daylighting effectiveness and occupant visual comfort in a side-lit open-plan office building in San Francisco, California. Building and Environment, 59: 662-677.
Linhart F, Scartezzini J-L (2011). Evening office lighting—Visual comfort vs. energy efficiency vs. performance? Building and Environment, 46: 981-989.
Malone E, Harmsen C, Reno K, Edelstein E, Hamilton D Salvatore A (2008). An introduction to evidence based design: Exploring healthcare and design. Concord, CA: The Center for Health Design.
Michael A, Heracleous C (2017). Assessment of natural lighting performance and visual comfort of educational architecture in Southern Europe: The case of typical educational school premises in Cyprus. Energy and Buildings, 140: 443-457.
Michael A, Gregoriou S, Kalogirou SA (2018). Environmental assessment of an integrated adaptive system for the improvement of indoor visual comfort of existing buildings. Renewable Energy, 115: 620-633.
Motamed A, Deschamps L Scartezzini J-L (2017). On-site monitoring and subjective comfort assessment of a sun shadings and electric lighting controller based on novel High Dynamic Range vision sensors. Energy and Buildings, 149: 58-72.
Nabil A, Mardaljevic J (2006). Useful daylight illuminances: A replacement for daylight factors. Energy and Buildings, 38: 905-913.
Newsham GR, Aries MBC, Mancini S, Faye G (2008). Individual control of electric lighting in a daylit space. Lighting Research & Technology, 40: 25-41.
Ochoa CE, Aries MBC, Hensen JLM (2012). State of the art in lighting simulation for building science: A literature review. Journal of Building Performance Simulation, 5: 209-233.
Peretti C Schiavon S (2011). Indoor environmental quality surveys. A brief literature review. In: Proceedings of the 12th International Conference on Indoor Air Quality and Climate, Austion, USA.
Reinhart C, Fitz A (2006). Findings from a survey on the current use of daylight simulations in building design. Energy and Buildings, 38: 824-835.
Reinhart CF, Mardaljevic J, Rogers Z (2006). Dynamic daylight perormance metrics for sustainable building design. Leukos, 3: 1-25.
Ruck N, Aschehoug O, Aydinli S, Christoffersen J, Edmonds I, Jakobiak R, Kischkoweit-Lopin M, Klinger M, Lee E, Courret G (2000). Daylight in buildings—A source book on daylighting systems and components. Lawrence Berkeley National Laboratory, Berkeley, USA.
Stokols D Scharf T (1990). Developing standardized tools for assessing employees’ ratings of facility performance. In: Davis G, Ventre F (eds), Performance of buildings and serviceability of facilities. Philadelphia, PA, USA: American Society for Testing and Materials.
Van Den Wymelenberg KG (2013). Evaluating human visual preference and performance in an office environment using luminance-based metrics. PhD Thesis, University of Washington, USA.
Van Den Wymelenberg K, Inanici M (2014). A critical investigation of common lighting design metrics for predicting human visual comfort in offices with daylight. Leukos, 10: 145-164.
Van Den Wymelenberg K, Inanici M (2016). Evaluating a new suite of luminance-based design metrics for predicting human visual comfort in offices with daylight. Leukos, 12: 113-138.
Vassiliades C, Michael A, Savvides A, Kalogirou S (2018). Improvement of passive behaviour of existing buildings through the integration of active solar energy systems. Energy, 163: 1178-1192.
Veitch JA, Charles KE, Farley KMJ, Newsham GR (2007). A model of satisfaction with open-plan office conditions: COPE field findings. Journal of Environmental Psychology, 27: 177-189.
Velds M Christofferesen J (2001). Monitoring procedures for the assessment of daylighting performance of buildings. IEA SHC Task 21 “Daylight in Buildings”/ECBCS Annex 29. International Energy Agency.
Vera S, Uribe D, Bustamante W, Molina G (2017). Optimization of a fixed exterior complex fenestration system considering visual comfort and energy performance criteria. Building and Environment, 113: 163-174.
Vischer JC (2009). Applying knowledge on building performance: From evidence to intelligence. Intelligent Buildings International, 1: 239-248.
Vischer JC Zeisel J (2008). Bridging the gap between research and design. World Health Design, 2008(July): 57-61.
Wienold J, Christoffersen J (2006). Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras. Energy and Buildings, 38: 743-757.