气候变化领域集成服务门户(CCPortal): Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development

CCPortal

DOI	10.3390/buildings14051241
	Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development
	Hossain, Md. Uzzal; Cicco, Isabella; Bilec, Melissa M.
发表日期	2024
EISSN	2075-5309
起始页码	14
结束页码	5
卷号	14 期号:5
英文摘要	Urban building energy models (UBEMs), developed to understand the energy performance of building stocks of a region, can aid in key decisions related to energy policy and climate change solutions. However, creating a city-scale UBEM is challenging due to the requirements of diverse geometric and non-geometric datasets. Thus, we aimed to further elucidate the process of creating a UBEM with disparate and scarce data based on a bottom-up, physics-based approach. We focused on three typically overlooked but functionally important commercial building stocks, which are sales and shopping, healthcare facilities, and food sales and services, in the region of Pittsburgh, Pennsylvania. We harvested relevant local building information and employed photogrammetry and image processing. We created archetypes for key building types, designed 3D buildings with SketchUp, and performed an energy analysis using EnergyPlus. The average annual simulated energy use intensities (EUIs) were 528 kWh/m2, 822 kWh/m2, and 2894 kWh/m2 for sales and shopping, healthcare facilities, and food sales and services, respectively. In addition to variations found in the simulated energy use pattern among the stocks, considerable variations were observed within buildings of the same stock. About 9% and 11% errors were observed for sales and shopping and healthcare facilities when validating the simulated results with the actual data. The suggested energy conservation measures could reduce the annual EUI by 10-26% depending on the building use type. The UBEM results can assist in finding energy-efficient retrofit solutions with respect to the energy and carbon reduction goal for commercial building stocks at the city scale. The limitations highlighted may be considered for higher accuracy, and the UBEM has a high potential to integrate with urban climate and energy models, circular economy, and life cycle assessment for sustainable urban planning.
英文关键词	urban building energy modeling; methodological framework; archetype development; image processing; LiDAR analysis
语种	英语
WOS研究方向	Construction & Building Technology ; Engineering
WOS类目	Construction & Building Technology ; Engineering, Civil
WOS记录号	WOS:001233014200001
来源期刊	BUILDINGS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302531
作者单位	Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; State University of New York (SUNY) System; SUNY Community College; SUNY Delhi; State University of New York (SUNY) College of Environmental Science & Forestry; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
推荐引用方式 GB/T 7714	Hossain, Md. Uzzal,Cicco, Isabella,Bilec, Melissa M.. Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development[J],2024,14(5).
APA	Hossain, Md. Uzzal,Cicco, Isabella,&Bilec, Melissa M..(2024).Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development.BUILDINGS,14(5).
MLA	Hossain, Md. Uzzal,et al."Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development".BUILDINGS 14.5(2024).