2014
DOI: 10.1016/j.procs.2014.05.478
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Microclimate Change Outdoor and Indoor Coupled Simulation for Passive Building Adaptation Design

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Cited by 26 publications
(15 citation statements)
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“…Allegrini et al [98]; Yaghoobian and Kleissl [99]; He et al [100]; Kruger et al [101]; Kesten et al [102]; Han et al [103]; Hsieh et al [104]; Bouyer et al [105]; Yi and Peng [106] Design vs. as-built Stoppel and Leite [13]; Johnston et al [30]; Asdrubali et al [107] Solutions to bridge the gap Baborska-Narozny and Stevenson [29]; Johnston et al [30]; Menezes et al [31]; Herrando et al [34]; Demanuele et al [35]; Burman et al [37]; Fedoruk et al [40]; Green Construction Board and Buildings Working Group of Arup [46]; Gupta and Kapsali [50]; Mehta [69]; Corry et al [108]; Bordass et al [109]; Robinson et al [110]; Calì et al [111]; Niu et al [112]; Grossmann et al [113];…”
Section: Relevant Reviewsmentioning
confidence: 99%
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“…Allegrini et al [98]; Yaghoobian and Kleissl [99]; He et al [100]; Kruger et al [101]; Kesten et al [102]; Han et al [103]; Hsieh et al [104]; Bouyer et al [105]; Yi and Peng [106] Design vs. as-built Stoppel and Leite [13]; Johnston et al [30]; Asdrubali et al [107] Solutions to bridge the gap Baborska-Narozny and Stevenson [29]; Johnston et al [30]; Menezes et al [31]; Herrando et al [34]; Demanuele et al [35]; Burman et al [37]; Fedoruk et al [40]; Green Construction Board and Buildings Working Group of Arup [46]; Gupta and Kapsali [50]; Mehta [69]; Corry et al [108]; Bordass et al [109]; Robinson et al [110]; Calì et al [111]; Niu et al [112]; Grossmann et al [113];…”
Section: Relevant Reviewsmentioning
confidence: 99%
“…The CFD program used was Fluent, a commercial CFD software, and the thermal-radiative model was SOLENE, a customized model. Yi and Peng [106] integrated ENVI-MET with DesignBuilder, which uses EnergyPlus as the energy calculation engine, to study the microclimate change for passive building adaption design…”
Section: Micro-environmentmentioning
confidence: 99%
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“…The emissions in these scenarios are quantified depending on various models for future society development (Belcher et al, 2005). (2014), Yi and Peng (2014), Yu et al (2014) and Peng and Elwan (2014). The predicted climate data for cities were created for the three future time slots of the 2020s, 2050s and 2080s.…”
Section: Data Generation For the Future Climatementioning
confidence: 99%
“…Moreover, Bouyer [47] proposed a CFD and thermal radiation coupling model to evaluate the energy consumption of the building. Yi [48] proposed an indoor and outdoor coupling simulation evaluation framework for microclimate change to demonstrate the influence of outdoor microclimate on the indoor thermal performance of the buildings. Tejedor [49] proposes the implementation of a 2D U-value map to quantify the influence of thermal bridges on building facades by internal quantitative infrared thermography.…”
Section: Introductionmentioning
confidence: 99%