EAGER: Predicting Electricity Demand and Indoor Air Quality During Heat Waves

GSTDTAP

项目编号	1645786
	EAGER: Predicting Electricity Demand and Indoor Air Quality During Heat Waves
	Clinton Andrews
主持机构	Rutgers University New Brunswick
项目开始年	2016
	2016-08-01
项目结束日期	2018-07-31
资助机构	US-NSF
项目类别	Standard Grant
项目经费	250000(USD)
国家	美国
语种	英语
英文摘要	Heat waves can have substantial impacts on human health, especially for individuals in densely populated locations. This project will collect air quality and power usage data from households in urban settings and connect this data to a multi-level climate model. The core scientific merit of the work is to integrate real data and climate models to predict the vulnerability of certain population segments. The research team will work with the Housing Authority of the City of Elizabeth, NJ, who seek to understand how the poorest urban households can better cope with an increasing number of heat waves. This award is part of the Smart and Connected Communities program at NSF. The research team plans to add buildings and their occupants to the multi-level climate-to-humans modeling framework developed under a previous award. The modeling framework will link occupant responses to heat stress to changes in indoor pollutants and electricity consumption. Sensors will be deployed to measure air quality and power usage. The researchers expect to be able to predict how adaptable different populations segments are to heat waves as a function of personal, building-level, and locational characteristics, thereby identifying thresholds beyond which climate-related stresses become human health disasters.
来源学科分类	Geosciences - Atmospheric and Geospace Sciences
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/69949
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Clinton Andrews.EAGER: Predicting Electricity Demand and Indoor Air Quality During Heat Waves.2016.