Optimal Use of Grid-Connected Energy Storage to Reduce Human Health Impacts

优化利用并网储能来减少对人类健康的影响

• 批准号: 1934276
• 负责人: Jeremiah Johnson
• 金额: $ 30万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-11-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934276&HistoricalAwards=false
• 关键词: Optimal; Use; Grid; Connected; Energy

This project will develop new methods to mitigate adverse human health impacts from power sector emissions through the targeted use of grid-connected energy storage. Energy storage devices, such as batteries or pumped storage hydropower, can shift both the time and location of power sector emissions based on their charging and discharging strategies. The overall human health impacts of criteria pollutants such as sulfur dioxide (SO2) and oxides of nitrogen (NOx) are closely related to the both temporal and spatial distribution of emissions. The overarching research question that will be addressed is: Can operational strategies for grid-connected energy storage yield cost-effective reductions in the human health impacts associated with power sector emissions?To answer this question, the research team will develop a unit commitment and economic dispatch model with energy storage to determine optimal power system operations and provide unit-level SO2 and NOx emissions. A state-of-the-science air pollution chemical transport model and sensitivity analysis technique will be used to provide spatially- and temporally-resolved PM2.5 and O3 concentrations stemming from power plant and energy storage dispatch decisions. Human health damage cost estimates will determine the health response from changes in exposure to these secondary pollutants, coupling those results with the value of a statistical life and determine the unit-level marginal health damage costs associated with the primary emissions. Those costs then serve as inputs into the power system model to allow real-time decision making, effectively internalizing the externality costs of the emissions and yielding the optimal charge/discharge behavior of the energy storage to cost-effectively reduce human health impacts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将开发新的方法，通过有针对性地使用并网储能，减轻电力部门排放对人类健康的不利影响。蓄电池或抽水蓄能水电等储能设备可以根据其充电和放电策略改变电力部门排放的时间和地点。二氧化硫（SO2）和氮氧化物（NOx）等标准污染物对人体健康的总体影响与排放的时空分布密切相关。将解决的首要研究问题是：并网储能的运营策略能否以具有成本效益的方式减少与电力部门排放相关的人类健康影响？为了回答这个问题，研究小组将开发一个具有储能的机组承诺和经济调度模型，以确定最佳电力系统运行并提供机组级SO2和NOx排放量。一个最先进的空气污染化学传输模型和敏感性分析技术将用于提供空间和时间分辨的PM2.5和O3浓度，这些浓度来自发电厂和储能调度决策。人类健康损害成本估算将确定接触这些二次污染物的变化对健康的影响，将这些结果与统计寿命的价值相结合，并确定与一次排放相关的单位一级边际健康损害成本。然后，这些成本作为电力系统模型的输入，以便进行实时决策，有效地内化排放的外部性成本，并产生最佳的储能充电/放电行为，以经济有效地减少对人类健康的影响。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Reducing human health impacts from power sector emissions with redispatch and energy storage

• DOI: 10.1088/2634-4505/ac20b3
• 发表时间: 2021-09-01
• 期刊: ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY
• 作者: Luo, Qian;Johnson, Jeremiah X.;Garcia-Menendez, Fernando
• 通讯作者: Garcia-Menendez, Fernando

Accelerating China’s power sector decarbonization can save lives: integrating public health goals into power sector planning decisions

• DOI: 10.1088/1748-9326/acf84b
• 发表时间: 2023-09
• 期刊: Environmental Research Letters
• 影响因子: 6.7
• 作者: Qi Luo;F. Garcia‐Menendez;Jiang Lin;Gang He;Jeremiah X. Johnson