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Modeling attic humidity as a function of weather, building construction, and ventilation rates.

机译:根据天气,建筑结构和通风率对阁楼湿度进行建模。

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摘要

A dynamic model for predicting attic relative humidity (RH) and roof sheathing moisture content (MC) was developed for microcomputer application. The model accepts standard hourly weather data and building design parameters as input. Model predictions gave good agreement with measured data from a house located in Madison, Wisconsin. Solar radiation varies with roof orientation and plays an important role in determining moisture transfer to and from the roof sheathing. Opposing roof surfaces must be differentiated in attic humidity models to account for the effect of solar radiation. The model described in this paper is capable of such differentiation. Snow accumulation on a roof can significantly alter the temperature and moisture conditions in an attic, but further research is needed to understand the effect of a snow layer on attic temperatures. Various scenarios were simulated with this model to determine the effect of building practice and ventilation strategies on roof sheathing MC. Direct control of RH in the living space by ventilation is very effective in lowering attic moisture conditions. Where natural ventilation is not adequate, a timer-controlled attic fan shows great promise for ensuring efficient and economical attic ventilation.
机译:建立了用于预测阁楼相对湿度(RH)和屋顶护套含水量(MC)的动态模型,以供微型计算机应用。该模型接受标准的每小时天气数据和建筑设计参数作为输入。模型预测与威斯康星州麦迪逊市一所房屋的测量数据高度吻合。太阳辐射随屋顶的朝向而变化,并且在确定水分进出屋顶护套时起着重要的作用。必须在阁楼湿度模型中区分相对的屋顶表面,以解决太阳辐射的影响。本文描述的模型能够进行这种区分。屋顶上的积雪会显着改变阁楼中的温度和湿度条件,但是需要进一步研究以了解积雪对阁楼温度的影响。使用该模型模拟了各种场景,以确定建筑实践和通风策略对屋面护套MC的影响。通过通风直接控制居住空间中的RH对于降低阁楼湿度条件非常有效。在自然通风不充分的地方,定时控制的阁楼风扇显示了确保高效和经济的阁楼通风的巨大希望。

著录项

  • 作者

    Gorman, Thomas Martin.;

  • 作者单位

    State University of New York College of Environmental Science and Forestry.;

  • 授予单位 State University of New York College of Environmental Science and Forestry.;
  • 学科 Architecture.; Agriculture Wood Technology.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;森林采运与利用;
  • 关键词

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