Collaborative Research: A Framework for Assessing the Impact of Extreme Heat and Drought on Urban Energy Production and Consumption
Collaborative Research: A Framework for Assessing the Impact of Extreme Heat and Drought on Urban Energy Production and Consumption
批准号:
1662553
负责人:
Eunshin Byon
金额:
$13.04万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31
中文摘要
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英文摘要
This research will produce novel, rigorous and integrative methods that will contribute to society's capacity for effectively managing city-scale electricity systems during periods of extreme heat and drought. The modern electric grid, which includes both electricity consumers and producers, faces significant challenges and uncertainties, including increased frequency and intensity of heat waves and droughts. Concurrently, the processes underlying electricity production and consumption are becoming more complex, due in part to advances in electric grid-connected technologies and the demand-side management programs that control them. This research will improve knowledge of city-specific future extreme heat and drought scenarios, as well as quantification of the impact of extreme events under these scenarios on a city's electricity consumption and production. Findings from this research have the potential to significantly impact the way cities and electric utility operators manage electric grids under extreme heat and drought conditions.This project addresses vital links between climate modeling, consumption and production, and seeks to contribute to the following scientific advancements: 1) development of effective methods for generating refined future extreme heat and drought scenarios utilizing disparate sources of data of varying fidelity, such as historical observations; 2) development of a flexible electricity consumption model integrated with demand-side management strategies using bottom-up energy and demand modeling methods; 3) development of a data-driven stochastic optimization method for robust power-generation decision strategies that considers various sources of uncertainty, including weather and the consumption and production of electricity.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.enbuild.2020.110450
发表时间:
2020-09
期刊:
Energy and Buildings
影响因子:
6.7
作者:
[Youngchan Jang;E. Byon;E. Jahani;Kristen S. Cetin]
通讯作者:
Youngchan Jang;E. Byon;E. Jahani;Kristen S. Cetin
Season-dependent Parameter Calibration in Building Energy Simulation
建筑能源模拟中随季节变化的参数校准
DOI:
--
发表时间:
2021
期刊:
Proceedings of the 2021 Industrial Engineering Research Conference
影响因子:
--
作者:
[Ziang Xu, Cheoljoon Jeong]
通讯作者:
Ziang Xu, Cheoljoon Jeong
Projecting the Most Likely Annual Urban Heat Extremes in the Central United States
预测美国中部最有可能出现的年度城市极端高温
DOI:
10.3390/atmos10120727
发表时间:
2019
期刊:
Atmosphere
影响因子:
2.9
作者:
[Jahn, David E., Gallus, William A., Nguyen, Phong T., Pan, Qiyun, Cetin, Kristen, Byon, Eunshin, Manuel, Lance, Zhou, Yuyu, Jahani, Elham]
通讯作者:
Jahani, Elham
Collaborative Research: Calibrating Digital Twins in the Era of Big Data with Stochastic Optimization
-
批准号:2226348
-
项目类别:Standard Grant
-
资助金额:$28.31万
-
财政年份:2023
-
负责人:Eunshin Byon
-
依托单位:
BIGDATA: IA: Collaborative Research: From Bytes to Watts - A Data Science Solution to Improve Wind Energy Reliability and Operation
-
批准号:1741166
-
项目类别:Standard Grant
-
资助金额:$27.5万
-
财政年份:2017
-
负责人:Eunshin Byon
-
依托单位:
Collaborative Research: Collaborative Degradation Analysis for Enterprise-Level Maintenance Management via Dynamic Segmentation
-
批准号:1536924
-
项目类别:Standard Grant
-
资助金额:$16.33万
-
财政年份:2015
-
负责人:Eunshin Byon
-
依托单位:
Regularized Learning Enabled Monitoring and Control for Wind Power Systems
-
批准号:1362513
-
项目类别:Standard Grant
-
资助金额:$32.5万
-
财政年份:2014
-
负责人:Eunshin Byon
-
依托单位:
国内基金
海外基金
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