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Performance evaluation of green roof and shading for thermal protection of buildings

机译:建筑屋顶热防护的绿色屋顶和遮阳性能评估

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摘要

The present paper describes a mathematical model for evaluating cooling potential of green roof and solar thermal shading in buildings. A control volume approach based on finite difference methods is used to analyze the components of green roof, viz. green canopy, soil and support layer. Further, these individual decoupled models are integrated using Newton's iterative algorithm until the convergence for continuity of interface state variables is achieved. The green roof model is incorporated in the building simulation code using fast Fourier transform (FFT) techniques in Matlab. The model is validated against the experimental data from a similar green roof-top garden in Yamuna Nagar (India), and is then used to predict variations in canopy air temperature, entering heat flux through roof and indoor air temperature. The model is found to be very accurate in predicting green canopy-air temperature and indoor-air temperature variations (error range ±3.3%, ±6.1%, respectively). These results are further used to study thermal performance of green roof combined with solar shading. Cooling potential of green roof is found adequate (3.02 kWh per day for LAI of 4.5) to maintain an average room air temperature of 25.7℃. The present model can be easily coupled to different greenhouse and building simulation codes.
机译:本文介绍了一种数学模型,用于评估建筑物的屋顶绿化和太阳能隔热效果。基于有限差分法的控制量方法用于分析屋顶绿化的组成,即。绿色的树冠,土壤和支撑层。此外,这些独立的解耦模型使用牛顿迭代算法进行集成,直到实现接口状态变量连续性的收敛。使用Matlab中的快速傅里叶变换(FFT)技术将绿色屋顶模型并入建筑物模拟代码中。该模型已根据来自Yamuna Nagar(印度)类似的绿色屋顶花园的实验数据进行了验证,然后用于预测冠层气温的变化,通过屋顶进入的热通量和室内气温。该模型在预测绿色冠层空气温度和室内空气温度变化方面非常准确(误差范围分别为±3.3%,±6.1%)。这些结果可进一步用于研究结合了遮阳的绿色屋顶的热性能。发现屋顶的制冷潜力足够大(LAI为4.5时,每天3.02 kWh)可将室内平均气温维持在25.7℃。本模型可以轻松地耦合到不同的温室和建筑物模拟代码。

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