دانلود مقاله ISI انگلیسی شماره 64860
ترجمه فارسی عنوان مقاله

مدل بام سبز برای ساخت برنامه های شبیه سازی انرژی

عنوان انگلیسی
A green roof model for building energy simulation programs
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
64860 2008 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy and Buildings, Volume 40, Issue 8, 2008, Pages 1466–1478

ترجمه کلمات کلیدی
خفاش ها، زیست کره، طرح انتقال جوی ؛ تجزیه و تحلیل بارهای ساختمان و سیستم ترمودینامیک؛ انرژی ساختمان ؛ شبیه سازی - بام سازگار با محیط زیست ؛
کلمات کلیدی انگلیسی
BATS, biosphere, atmosphere transfer scheme; BLAST, building loads analysis and system thermodynamics; CTF, conduction transfer functions—transient conduction solution method; DOE-2, department of energy building energy analysis tool; FASST, fast all-season soil strength model; GRP, green roof project at University of Central Florida; HVAC, heating, ventilation, and air-conditioning; SiB, simple biosphere model; TMY, typical meteorological yearGreen roof; Ecoroof; Energy model; EnergyPlus; Building energy; Simulation
پیش نمایش مقاله
پیش نمایش مقاله  مدل بام سبز برای ساخت برنامه های شبیه سازی انرژی

چکیده انگلیسی

A physically based model of the energy balance of a vegetated rooftop has been developed and integrated into the EnergyPlus building energy simulation program. This green roof module allows the energy modeler to explore green roof design options including growing media thermal properties and depth, and vegetation characteristics such as plant type, height and leaf area index. The model has been tested successfully using observations from a monitored green roof in Florida. A preliminary set of parametric tests has been conducted on prototypical 4000 m2 office buildings in Chicago IL and Houston TX. These tests focus on evaluating the role of growing media depth, irrigation, and vegetation density (leaf area index) on both natural gas and electricity consumption. Building energy consumption was found to vary significantly in response to variations in these parameters. Further, this response depended significantly on building location (climate). Hence, it is evident that the green roof simulation tool presented here can serve a valuable role in informing green roof design decisions.