Academic literature on the topic 'Dynamic daylighting simulation'
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Journal articles on the topic "Dynamic daylighting simulation"
Wilder, Robin, Jaya Mukhopadhyay, Tom Femrite, and Kevin Amende. "EVALUATING GLARE IN LEED CERTIFIED BUILDINGS TO INFORM CRITERIA FOR DAYLIGHTING CREDITS." Journal of Green Building 14, no. 4 (September 2019): 57–76. http://dx.doi.org/10.3992/1943-4618.14.4.57.
Full textGarcia, Marina Da Silva, Roberta Vieira Gonçalves de Souza, Maíra Louise Martins de Freitas, and Ana Carolina De Oliveira Veloso. "Integrating daylight simulation in the design process: comparative analysis between two computational platforms." Gestão & Tecnologia de Projetos 15, no. 2 (June 29, 2020): 69–83. http://dx.doi.org/10.11606/gtp.v15i2.161997.
Full textZhao, Zhong Chao. "The Analysis of Annual Dynamic Effective Daylighting on High-Rise Office Building in Jinan." Advanced Materials Research 1008-1009 (August 2014): 1343–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.1343.
Full textMagri Elouadjeri, Sahar, Aicha Boussoualim, and Hassan Ait Haddou. "Evaluating the Effect of External Horizontal Fixed Shading Devices’ Geometry on Internal Air Temperature, Daylighting and Energy Demand in Hot Dry Climate. Case Study of Ghardaïa, Algeria." Buildings 11, no. 8 (August 12, 2021): 348. http://dx.doi.org/10.3390/buildings11080348.
Full textMousavi, Seyed Mohammad, Tareef Hayat Khan, and Amin Mohammadi. "Adjustable Internal Shading for Home Office Daylighting in Tropical Climates." International Journal of Design & Nature and Ecodynamics 16, no. 6 (December 21, 2021): 609–24. http://dx.doi.org/10.18280/ijdne.160601.
Full textYılmaz, Feride Şener. "EVALUATION OF DAYLIGHT PROVISION AND DAYLIGHT GLARE PROBABILITY FOR DIVERSE WORKSPACE CONFIGURATIONS." Journal of Green Building 17, no. 1 (January 1, 2022): 199–224. http://dx.doi.org/10.3992/1943-4618.17.1.199.
Full textYılmaz, Feride Şener. "EVALUATION OF DAYLIGHT PROVISION AND DAYLIGHT GLARE PROBABILITY FOR DIVERSE WORKSPACE CONFIGURATIONS." Journal of Green Building 17, no. 1 (January 1, 2022): 199–224. http://dx.doi.org/10.3992/jgb.17.1.199.
Full textAchsani, Rizky Amalia, Angela Upitya Paramitasari, Marisa Sugangga, Surjamanto Wonorahardjo, and Sugeng Triyadi. "Optimization of Daylighting Outdoor Availability in Urban Kampung." IOP Conference Series: Earth and Environmental Science 1058, no. 1 (July 1, 2022): 012006. http://dx.doi.org/10.1088/1755-1315/1058/1/012006.
Full textHiyama, Kyosuke, and Liwei Wen. "Rapid response surface creation method to optimize window geometry using dynamic daylighting simulation and energy simulation." Energy and Buildings 107 (November 2015): 417–23. http://dx.doi.org/10.1016/j.enbuild.2015.08.035.
Full textZhao, Yang, and Hongyuan Mei. "Dynamic simulation and analysis of daylighting factors for gymnasiums in mid-latitude China." Building and Environment 63 (May 2013): 56–68. http://dx.doi.org/10.1016/j.buildenv.2012.12.015.
Full textDissertations / Theses on the topic "Dynamic daylighting simulation"
Lima, Kamila Mendonça de. "Avaliação de sistemas de janela para suporte a decisões de projeto quanto à iluminação e uso de energia." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/102/102131/tde-30062016-105936/.
Full textDesigning window systems in a climate responsive way involves dealing with the effects of the external environment, which are dynamic, and strategies that may conflict, such as daylight and control of solar heat gains, both elements related to the sun. This research assumes that this is done considering the impact of different design variables in different performance indicators simultaneously, for decision support. The study of the effect of window design variables when combined is not yet consolidated, especially in case of low latitude locations. The general objective of this doctoral research is to evaluate static and dynamic window systems to support architectural design decisions regarding different performance criteria related to daylight and energy use, in an integrated manner. The studied window system consists of a glazed opening and external horizontal slat-type shading devices, fixed and mobile, in offices in the hot and humid climate of the city of Maceió-AL. For this, computer integrated simulations using Daysim and EnergyPlus software were carried out, considering the activation of the lighting system only when daylight is not sufficient to meet the usage requirements. The design variables analyzed were window-to-wall ratio, glazing type, cut-off angle, number of slats, type of shading control and orientation. Architectural solutions resulting from combinations of all variables were evaluated regarding the availability and distribution of daylight and electricity demand for air conditioning and artificial lighting in the indoor environment. The solutions were then rated and ranked according to two main indicators. The design variables among the analyzed with potential of high impact in the obtained performance in different situations were identified. The results showed that it is possible an alternative be in a range of 10% best scenarios in the two criteria at the same time. It was also observed that, although the energy demand for conditioning air often be greater than the lighting energy demand, the performance of the window on daylight can have a decisive weight on the design choice, because this performance indicator is more sensitive to the window variables than the first. Finally, it was observed that the dynamic shading systems are not performance-enhancing guarantee compared to static systems.
Do, Thanh Cong, and 杜成功. "Development of a new framework for daylighting simulation with dynamic shading devices." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n66544.
Full text國立臺灣大學
土木工程學研究所
105
Daylight plays an important role in building design. It affects occupant’s activities, reduces energy demand and supports human health. Most of daylighting simulation software does not capture occupant’s behavior or shading’s dynamic behavior. Daysim is the only one that calculates dynamic shading devices by using lightswitch model [1] but it has limitation. It is unable to use other automated control algorithms or capture occupant’s behavior and is also unable to simulate advanced shading devices which can only be described by bidirectional distribution function such as light redirecting films. A new framework was developed based on Radiance three-phase method to enable the capability of accurate annual daylighting simulation in a room equipped with dynamic shading devices and/or daylight redirecting devices. Two case studies are carried out using Hanoi climate to demonstrate the ability of the framework. It also considers automated shading control which allows future smart building applications. The framework is flexible to run any automated control algorithms and any dynamic behaviors from occupants. In the future, the framework will be expanded to run Radiance five-phase method.
Books on the topic "Dynamic daylighting simulation"
Rockcastle, Siobhan. Annual Dynamics of Daylight Variability and Contrast: A Simulation-Based Approach to Quantifying Visual Effects in Architecture. London: Springer London, 2013.
Find full textAnnual Dynamics Of Daylight Variability And Contrast A Simulationbased Approach To Quantifying Visual Effects In Architecture. Springer London Ltd, 2013.
Find full textBook chapters on the topic "Dynamic daylighting simulation"
McCubbin, I. "DAYLIGHTING AND THERMAL DESIGN - AN INTEGRATED APPROACH TO DYNAMIC SIMULATION MODELLING." In Advances In Solar Energy Technology, 3529–33. Elsevier, 1988. http://dx.doi.org/10.1016/b978-0-08-034315-0.50650-9.
Full textHafiz, Dalia. "Improving Occupants Comfort Through Qualitative Indoor Environments." In Advances in Media, Entertainment, and the Arts, 387–404. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2823-5.ch018.
Full textConference papers on the topic "Dynamic daylighting simulation"
Hou, Dan, Gang Liu, Qi Zhang, and Lan Wang. "Metamodel-based Dynamic Daylighting Simulation." In 2017 Building Simulation Conference. IBPSA, 2017. http://dx.doi.org/10.26868/25222708.2017.706.
Full textINANICI, Mehlika. "Dynamic Daylighting Simulations From Static High Dynamic Range Imagery Using Extrapolation And Daylight Coefficient Methodologies." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1454.
Full textGao, Y., J. Dong, O. Isabella, M. Zeman, and G. Q. Zhang. "Daylighting simulation and analysis of buildings with dynamic photovoltaic window shading elements." In 2017 14th China International Forum on Solid State Lighting: International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS). IEEE, 2017. http://dx.doi.org/10.1109/ifws.2017.8245973.
Full textLiu, Junjie, Xiaojie Zhou, and Zhihong Gao. "Energy Consumption Simulation for Residential Buildings With Shading Devices in Different Regions." In ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36256.
Full textOosthuizen, Patrick H., and Marilyn Lightstone. "Use of CFD in the Analysis of Heat Transfer Related Problems That Arise in Building Energy Studies." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-23351.
Full textAlva, Luis H., Jorge E. Gonza´lez, and John B. Hertz. "Impact of Construction Materials in the Energy Consumption in Homes in the Caribbean." In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76188.
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