Planning: Integrating Distributed Energy Resources with Grid-Interactive Efficient Buildings for Net Zero Energy and Community Resilience
规划:将分布式能源与电网互动高效建筑相结合,实现净零能耗和社区复原力
基本信息
- 批准号:2332104
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-15 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
There is an urgent imperative to tackle global warming, climate change, and the growing energy demand. The purpose of this planning grant is to initiate a new research effort that will contribute to the integration of renewable energy resources with building heating, air conditioning, and lighting systems. This integration will support the decarbonization of buildings, bolster climate mitigation efforts, foster cost reductions and support equitable access to resilient power systems for remote underserved communities. This planning grant is a first step in creating and sustaining a long-term multi-disciplinary research program at Tennessee State University (TSU), a historically Black university, that combines faculty expertise in renewable power, power grid security and resilience, and building energy systems. The grant supports the TSU faculty team in fully developing their long-term research plans and seeking partnerships with national laboratories and other universities for a multi-year collaborative research effort.This planning grant aims to build collaborations and establish high impact research at Tennessee State University with access to industry partners and national labs. The planning grant provides an opportunity to strategically plan the collaboration's scope and align research areas related to the integration of Distributed Energy Resources (DERs) and Grid-interactive efficient buildings (GEBs) by assessing available resources and facilities. DERs have been increasing in popularity as a sustainable source of energy to combat issues that could affect future generations. Most sources of energy that are supplied in the U.S. are nonrenewable such as coal, and fossil fuels, which make up about 88%, and the other 12% comes from renewable sources. DERs can include behind-the-meter renewable generation such as rooftop solar photovoltaic (PV) units, wind turbines, fuel cells, and battery energy storage. Buildings account for 75% of all U.S. electricity use and 40% of the nation's total energy and account for 35% of the country's carbon dioxide emissions. The large portion of energy use provides promising demand flexibility, resilience and energy saving potential. GEBs are energy efficient buildings with smart technologies, which actively employ DERs to optimize energy consumption for grid services, cater to occupant requirements and preferences, contribute to climate mitigation efforts, and achieve cost reductions. By establishing strong relationships and effective collaboration practices during the planning phase, the grant serves as a foundation for long-term collaboration between the involved research institutions. This sets the stage for future joint projects, grant applications, and sustained intellectual collaboration.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.
迫切需要解决全球变暖,气候变化以及不断增长的能源需求。这项计划赠款的目的是发起一项新的研究工作,该工作将有助于将可再生能源资源与建筑物供暖,空调和照明系统相结合。这种整合将支持建筑物的脱碳,增强气候缓解工作,促进成本降低以及支持公平地访问遥远不足的社区的弹性电力系统。这项计划赠款是田纳西州立大学(TSU)(一所历史悠久的黑人大学)创建和维持长期多学科研究计划的第一步,该计划结合了可再生能源,电网安全性和弹性和建筑能源系统方面的教师专业知识。该赠款支持TSU教师团队充分制定他们的长期研究计划,并寻求与国家实验室和其他大学的合作伙伴关系,以进行多年的合作研究工作。该计划赠款旨在在田纳西州立大学建立合作并建立高影响力研究,并与行业伙伴和国家实验室访问。计划赠款提供了一个机会,可以通过评估可用资源和设施来战略性地计划合作的范围和与分布式能源(DER)和网格相互作用有效建筑物(GEB)相关的研究领域。作为应对可能影响子孙后代的解决问题的可持续能源,DER的知名度一直在越来越受欢迎。在美国提供的大多数能源都是不可再生的,例如煤炭和化石燃料,占约88%的化石燃料,而其他12%来自可再生能源。 DERS可以包括可再生能源的生成,例如屋顶太阳能光伏(PV)单元,风力涡轮机,燃料电池和电池能量存储。建筑物占美国所有电力使用的75%,占美国总能源的40%,占该国二氧化碳排放量的35%。大部分能源使用提供了有希望的需求灵活性,弹性和节能潜力。 GEB是具有智能技术的节能建筑物,可积极利用DER来优化网格服务的能源消耗,满足乘员需求和偏好,促进缓解气候的工作,并实现成本降低。通过在计划阶段建立牢固的关系和有效的协作实践,该赠款是参与研究机构之间长期合作的基础。这为未来的联合项目,赠款申请和持续的知识合作奠定了基础。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。
项目成果
期刊论文数量(0)
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会议论文数量(0)
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Sagnika Ghosh其他文献
Minimization of adverse effects of time delay in smart power grid
智能电网时滞不利影响最小化
- DOI:
10.1109/isgt.2014.6816459 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Sagnika Ghosh;M. Ali - 通讯作者:
M. Ali
Transient stability enhancement of multi-machine power system by novel braking resistor models
新型制动电阻模型增强多机电力系统暂态稳定性
- DOI:
10.1109/secon.2013.6567462 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
R. Saluja;Sagnika Ghosh;M. Ali - 通讯作者:
M. Ali
Minimization of negative effects of time delay in smart grid system
智能电网系统中时滞负面影响最小化
- DOI:
10.1109/secon.2013.6567474 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Yang Zhou;Sagnika Ghosh;M. Ali;T. Wyatt - 通讯作者:
T. Wyatt
Power quality enhancement by coordinated operation of thyristor switched capacitor and optimal reclosing of circuit breakers
通过晶闸管投切电容器的协调运行和断路器的最佳重合闸来提高电能质量
- DOI:
10.1049/iet-gtd.2014.0613 - 发表时间:
2015 - 期刊:
- 影响因子:2.5
- 作者:
Sagnika Ghosh;M. Ali - 通讯作者:
M. Ali
Comparative Analysis of Three-Phase Configurations for Efficient Wireless Electric Vehicle Charging
高效无线电动汽车充电三相配置的比较分析
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Richard Wiencek;Sagnika Ghosh - 通讯作者:
Sagnika Ghosh
Sagnika Ghosh的其他文献
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{{ truncateString('Sagnika Ghosh', 18)}}的其他基金
Collaborative Research:CISE-MSI:RCBP-RF:CNS:Orchestration of Network Slicing for 5G-Enabled IoT Devices Using Reinforcement Learning
合作研究:CISE-MSI:RCBP-RF:CNS:使用强化学习为支持 5G 的物联网设备进行网络切片编排
- 批准号:
2318635 - 财政年份:2023
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
Collaborative Research: CISE-MSI: DP: CPS: Cyber Resilient 5G Enabled Virtual Power System for Growing Power Demand
协作研究:CISE-MSI:DP:CPS:支持网络弹性 5G 的虚拟电源系统,满足不断增长的电力需求
- 批准号:
2219700 - 财政年份:2022
- 资助金额:
$ 10万 - 项目类别:
Standard Grant
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