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Development of Dynamic Thermal Performance Metrics for Eco-roof Systems

机译:生态屋面系统动态热性能指标的开发

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摘要

In order to obtain credit for an eco-roof in building energy load calculations the steady state and time-varying thermal properties (thermal mass with evapotranspiration) must be fully understood. The following study presents results of experimentation and modeling in an effort to develop dynamic thermal mass performance metrics for eco-roof systems. The work is focused on understanding the thermal parameters (foliage u26 soil) of an eco-roof, further validation of the EnergyPlus Green Roof Module and development of a standardized metric for assessing the time-varying thermal benefits of eco-roof systems that can be applied across building types and climate zones. Eco-roof foliage, soil and weather parameters were continuously collected at the Green Roof Integrated PhotoVoltaic (GRIPV) project from 01/20/2011 to 08/28/2011. The parameters were used to develop an EnergyPlus eco-roof validation model. The validated eco-roof model was then used to estimate the Dynamic Benefit for Massive System (DBMS) in 4 climate-locations: Portland Oregon, Chicago Illinois, Atlanta Georgia and Houston Texas. GRIPV30 (GRIPV soil with 30% soil organic matter) was compared to 12 previously tested eco-roof soils. GRIPV30 reduced dry soil conductivity by 50%, increased field capacity by 21% and reduced dry soil mass per unit volume by 60%. GRIPV30 soil had low conductivity at all moisture contents and high heat capacity at moderate and high moisture content. The characteristics of the GRIPV30 soil make it a good choice for moisture retention and reduction of heat flux, improved thermal mass (heat storage) when integrating an eco-roof with a building. Eco-roof model validation was performed with constant seasonal moisture driven soil properties and resulted in acceptable measured - modeled eco-roof temperature validation. LAI has a large impact on how the Green Roof Module calculates the eco-roof energy balance with a higher impact on daytime (measured - modeled) soil temperature differential and most significant during summer. DBMS modeling found the mild climates of Atlanta Georgia and Houston Texas with eco-roof annual DBMS of 1.03, 3% performance improvement above the standard building, based on cooling, heating and fan energy consumption. The Chicago Illinois climate with severe winter and mild spring/summer/fall has an annual DBMS of 1.01. The moderate Portland Oregon climate has a below standard DBMS of 0.97.
机译:为了在建筑能量负荷计算中获得生态屋顶的认可,必须充分了解稳态和随时间变化的热特性(具有蒸散的热质)。以下研究提出了实验和建模结果,以努力开发出生态屋顶系统的动态热质量性能指标。这项工作的重点是了解生态屋面的热参数(树叶),进一步验证EnergyPlus绿色屋面模块,以及开发标准化的度量标准来评估生态屋面系统随时间变化的热效益。适用于各种建筑类型和气候区域。从2011年1月20日至2011年8月28日,绿色屋顶综合光伏(GRIPV)项目不断收集生态屋顶的叶子,土壤和天气参数。这些参数用于开发EnergyPlus生态屋顶验证模型。然后,使用经过验证的生态屋顶模型来估算俄勒冈州波特兰市,伊利诺伊州芝加哥市,佐治亚州亚特兰大市和德克萨斯州休斯敦市等4个气候地点的大规模系统动态效益(DBMS)。将GRIPV30(土壤有机质含量为30%的GRIPV土壤)与之前测试过的12种生态屋顶土壤进行了比较。 GRIPV30减少了50%的旱地电导率,增加了21%的田间持水量,并使单位体积的旱地质量减少了60%。 GRIPV30土壤在所有水分含量下均具有低电导率,在中等和高水分含量下均具有高热容。 GRIPV30土的特性使其成为将水分和屋顶减少热量,降低热通量,在建筑中集成生态屋顶时提高热质量(储热)的理想选择。生态屋顶模型验证是在恒定的季节性水分驱动的土壤特性下进行的,并得出了可接受的测量模型化生态屋顶温度验证。 LAI对绿色屋顶模块如何计算生态屋顶能量平衡有很大影响,这对白天(测量-模拟)的土壤温差影响较大,夏季最为显着。 DBMS建模发现亚特兰大乔治亚州和得克萨斯州休斯顿的气候温和,生态屋顶年度DBMS为1.03,基于制冷,供暖和风扇能耗,性能比标准建筑提高了3%。伊利诺伊州芝加哥的气候具有严冬和春季/夏季/秋季温和,年DBMS为1.01。俄勒冈州波特兰市气候中等,DBMS低于0.97。

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    Moody Seth Sinclair;

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  • 年度 2013
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