| 项目编号: | 1632945
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| 项目名称: | EAGER: Developing a Framework for Mitigating Environmental Externalities in the Power Sector to Maximize Regional Outcomes |
| 作者: | Kelly Sanders
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| 承担单位: | University of Southern California
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| 批准年: | 2016
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| 开始日期: | 2016-06-01
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| 结束日期: | 2018-05-31
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| 资助金额: | 300000
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | geostatistical framework
; innovative mathematical framework
; local power plant efficiency
; electric power sector
; new power infrastructure investment
; mathematical framework
; power plant
; power plant fleet
; power generation
; local power generation
; environmental cost
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| 英文摘要: | 1632945
Sanders, Kelly
This project proposes to develop the foundation for a potentially transformative and interdisciplinary approach to reduce the environmental and social impacts of the electric power sector through a dynamic market-based solution. There are two major research objectives: (1) understanding the fundamental drivers of variations in local power plant efficiency, and (2) developing a new approach to formulating a mathematical framework for power plant dispatching based on the spatio-temporal prioritization of local air quality conditions, water constraints, and anticipated levels of climate stress. Although modifying the "business as usual" dispatching protocol would likely result in higher direct costs to consumers, this project will analyze the benefits that could result in achieving air, water, and climate improvements and how this strategy compares in cost to other mitigation strategies. The proposed strategy is targeted to determine the best power plant fleet to meet demand reliably, while minimizing environmental and social consequences.
The societal impact of this research is potentially far-reaching, offering an innovative mathematical framework that may reduce the social and environmental costs of power generation without new power infrastructure investments. While many sustainability investments may disproportionally benefit populations that are able to pay a premium, the proposed framework offers a systems-scale intervention that strategically identifies regions that would benefit the most from reductions in local power generation. The geostatistical framework proposed can also be used more generally to inform the placement of new infrastructure investments and regions that could be targeted for new sustainability interventions based on greatest potential benefits. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/92255
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Kelly Sanders. EAGER: Developing a Framework for Mitigating Environmental Externalities in the Power Sector to Maximize Regional Outcomes. 2016-01-01.
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