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Predictive heat and mass transfer model of plant-based roofing materials for assessment of energy savings.

机译:基于植物的屋面材料的热与质传递模型,用于评估节能效果。

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摘要

Green roofs are becoming popular in the U.S. with the green roof industry growing at a rate of 30-50% from 2001 to 2008. Green roofs are a sustainable technology that could potentially offer several benefits to society and the environment. There have been several models proposing different ways to represent models of green roof systems. Until now, none of these models have been properly verified and validated. Moreover, to the best of our knowledge, there is no single study that has measured all of the important heat and mass transfer processes simultaneously.;Thus, the overall objective of this thesis is to develop a predictive heat and mass transfer model for green roof systems in summer conditions. The model is also verified and validated with experimental data from the "Cold Plate," an experimental apparatus specifically designed and built to quantify heat and mass transfer processes. The "Cold Plate" apparatus represents a new kind of apparatus that addresses the shortcomings in the existing data sets on energy balance for green roofs. Experiments were conducted in a full-scale environmental chamber that simulated outdoor conditions. Currently, there is no other experimental apparatus that simultaneously measures the same physical phenomena.;Overall, more than 10 experiments were conducted inside the environmental chamber. Evapotranspiration had the role of controlling the intensity of all other heat fluxes by modulating or diverting incoming and outgoing heat fluxes, depending on the state of the plants and environmental conditions. Interestingly, the lowest conductive heat fluxes through the green roof were consistently found when the green roof was the wettest. This finding also addresses the old dilemma regarding the tradeoffs between having a dry or a wet green roof.;A new green roof model is proposed. The model considers heat and mass transfer processes between the sky, plants, and substrate. Based on laboratory experimental data collected in the "Cold Plate" apparatus, a new substrate resistance to soil evaporation is introduced. Moreover, previous functions to calculate plant resistance for transpiration calculation are evaluated and the functions that best approximate the measured values are selected. These two steps are important for correct evapotranspiration calculations and have not been done previously.;Finally, the new green roof model is validated using quasi-steady state experimental data from the "Cold Plate." The validation shows that the model tends to predict most of the heat and mass transfer appropriately, but tends to underestimate maximal evapotranspiration. Further research on convective heat transfer on plants is recommended, as well as a spectral reflectivity measurement of the substrate to improve the accuracy of the model. The final step before model implementation into a building energy simulation will be a dynamic validation using detailed laboratory and field data.
机译:从2001年到2008年,绿色屋顶产业以30%到50%的速度增长。绿色屋顶在美国变得越来越流行。绿色屋顶是一种可持续发展的技术,可能为社会和环境带来多种好处。已经有几种模型提出了不同的方法来表示屋顶绿化系统的模型。到目前为止,这些模型都没有经过适当的验证和验证。而且,据我们所知,没有一项研究能够同时测量所有重要的传热和传质过程。因此,本论文的总体目标是为绿色屋顶开发预测性传热和传质模型系统在夏季条件下。该模型还通过“冷板”的实验数据进行了验证和验证,“冷板”是一种专门设计和制造的用于量化传热和传质过程的实验设备。 “冷板”设备代表了一种新型设备,可解决现有数据集有关屋顶绿化能量平衡的缺点。实验是在模拟室外条件的大型环境室内进行的。当前,没有其他实验仪器可以同时测量相同的物理现象。总体而言,在环境室内进行了10多次实验。蒸发蒸腾的作用是通过调节或转移传入和传出的热通量来控制所有其他热通量的强度,具体取决于植物的状态和环境条件。有趣的是,当绿色屋顶最湿时,始终会发现通过绿色屋顶的传导热通量最低。这一发现还解决了在干燥的或潮湿的绿色屋顶之间进行权衡的旧难题。提出了一种新的绿色屋顶模型。该模型考虑了天空,植物和基质之间的传热和传质过程。基于在“冷板”设备中收集的实验室实验数据,介绍了一种新的抗土壤蒸发的基质。此外,评估了用于计算蒸腾量的植物抗性的先前功能,并选择了最接近测量值的功能。这两个步骤对于正确的蒸散量计算很重要,而且以前没有做过。最后,使用“冷板”中的准稳态实验数据验证了新的屋顶绿化模型。验证表明,该模型倾向于适当地预测大部分的传热和传质,但往往会低估最大的蒸散量。建议对植物对流换热进行进一步研究,以及对基材的光谱反射率进行测量,以提高模型的准确性。在模型实施到建筑能源模拟之前的最后一步将是使用详细的实验室和现场数据进行动态验证。

著录项

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Architectural.;Engineering Mechanical.;Sustainability.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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