气候变化领域集成服务门户(CCPortal): Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective

CCPortal

DOI	10.1016/j.enpol.2020.111327
	Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective
	Roth J.; Lim B.; Jain R.K.; Grueneich D.
发表日期	2020
ISSN	0301-4215
卷号	139
英文摘要	Buildings are by far the largest source of urban energy consumption. In an effort to reduce energy use, cities are mandating that buildings undergo energy benchmarking—the process of measuring building energy performance in order to identify buildings that are inefficient. In this paper, we examine the feasibility of using city-specific, public open data sources in two benchmarking models and compare the results to the same models when using the Commercial Building Energy Consumption Survey (CBECS) dataset, the basis for Energy Star. The two benchmarking models use datasets containing building characteristics and annual energy use from ten major cities. To examine the difference in performance between linear and non-linear models, we use random forest and lasso regression. Results demonstrate that benchmarking models using open data outperform models based solely on the CBECS dataset. Additionally, our results indicate that building area, property type, conditioned area, and water usage are the most important variables for cities to collect. Having demonstrated the benefits of using open data, we recommend two changes to current benchmarking practices: (1) new guidelines that support a data-driven benchmarking framework relying on open data and a transparent modeling process and (2) supporting policies that publicize benchmarking results and incentivize energy savings. © 2020 Elsevier Ltd
英文关键词	Benchmarking; Building energy performance; Disclosure policy; Energy efficiency; Open data; Variable selection
语种	英语
来源期刊	Energy policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/124765
作者单位	Urban Informatics Lab, Department of Civil & Environmental Engineering, Stanford University, United States; Precourt Institute for Energy, Stanford University, United States
推荐引用方式 GB/T 7714	Roth J.,Lim B.,Jain R.K.,et al. Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective[J],2020,139.
APA	Roth J.,Lim B.,Jain R.K.,&Grueneich D..(2020).Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective.Energy policy,139.
MLA	Roth J.,et al."Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective".Energy policy 139(2020).