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Original Articles

Origins of analysis methods used to design high-performance commercial buildings: Daylighting simulation

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Pages 107-117 | Received 04 Sep 2014, Accepted 03 Aug 2015, Published online: 21 Oct 2015

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Read on this site (2)

Sukjoon Oh & Jeff S. Haberl. (2016) Origins of analysis methods used to design high-performance commercial buildings: Solar energy analysis. Science and Technology for the Built Environment 22:1, pages 87-106.
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Sukjoon Oh & Jeff S. Haberl. (2016) Origins of analysis methods used to design high-performance commercial buildings: Whole-building energy simulation. Science and Technology for the Built Environment 22:1, pages 118-137.
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Articles from other publishers (5)

Qinbo Li & Jeff Haberl. (2023) Prediction of Annual Daylighting Performance Using Inverse Models. Sustainability 15:15, pages 11938.
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Mohammed Ayoub. (2020) A review on light transport algorithms and simulation tools to model daylighting inside buildings. Solar Energy 198, pages 623-642.
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Mohammed Ayoub. (2019) 100 Years of daylighting: A chronological review of daylight prediction and calculation methods. Solar Energy 194, pages 360-390.
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Yan Wu & Xu Han. (2019) Preliminary Evaluation in Terms of Building Group Layout Design Based on Simulated Local Wind and Daylight Conditions: A Case Study in Qinghai, China. Energy Procedia 159, pages 201-206.
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Lamberto Tronchin, Massimiliano Manfren & Benedetto Nastasi. (2018) Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment. Renewable and Sustainable Energy Reviews 95, pages 341-353.
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