PIRE: USA/Europe Partnership for Integrated Research and Education in Wind Energy Intermittency: From Wind Farm Turbulence to Economic Management

PIRE：美国/欧洲风能间歇性综合研究和教育合作伙伴关系：从风电场湍流到经济管理

• 批准号: 1243482
• 负责人: Charles Meneveau
• 金额: $ 430.21万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1243482&HistoricalAwards=false
• 关键词: PIRE; USA; Europe; Partnership; Integrated

This U.S.-European Partnership for International Research and Education (PIRE) will engage graduate and undergraduate students, post-docs, and faculty from ten institutions to address pressing research questions that arise when adding the inherently intermittent wind-energy source to our power systems. The partnership includes U.S. researchers from Johns Hopkins University, Texas Tech University, Smith College, and the University of Puerto Rico. International partners in Europe include research groups in wind energy at the Danish Technical University and Risø Laboratory in Denmark, the Energy Research Center of the Netherlands (ECN), École Polytechnique Fédérale de Lausanne in Switzerland, Katholieke Universiteit Leuven in Belgium, and Comillas Pontifical Universidad in Spain. The team's cooperative research efforts will be tightly integrated with a training program that includes carefully designed international experiences. Overall, the intent is to jointly generate tools to better understand, characterize, and manage the consequences of wind power fluctuations. Results should help define more efficient methods for utilizing wind as a sustainable, cost-effective power source. By focusing on statistical tools to examine predictability, multiple time scales, and spatial and temporal variability of wind fluctuations, the US-European team expects to gain new and timely knowledge about the physical sources of variability and intermittency, such as atmospheric turbulence, and about the effects of various wind-farm parameters such as inter-turbine spacing, orientations, ground roughness, and wind conditions. To accomplish this, computational fluid dynamics tools will be developed and validated with laboratory and field observations. Secondly, results from parametric model runs will be used to develop basic understanding and obtain the necessary statistical characterizations of variability as functions of wind-farm parameters, using tools such as response-surface estimation, statistical multi-scale methods, and co-spectra. Thirdly, these characterizations will be coupled to production costing and planning models of the power grid for validation and further development. The PIRE research partners expect these models to help determine how wind farm parameters affect ancillary service requirements and how storage and demand response can be used most effectively. For broader impact, the new grid modeling tools that incorporate improved statistical characterizations of wind-farm output variability should help optimize future resource siting and design. Fourth, results are to be integrated with models of power markets and economic impacts. Econometric methods and market data may be used to propose potential, new policy levers and market designs to support practical, cost-effective adoption of renewable, highly intermittent energy sources. Central to the PIRE activities are core education, training and mentoring components. U.S. student participants will benefit from innovative courses in wind energy, computer modeling, power networks, economic management and economics, several taken abroad at partner institutions. Additionally, periodic research-focused site visits to European institutions and installations by U.S. students, faculty, and post-docs will facilitate access and ensure more rapid transfer of relevant technical knowledge to advance current understanding of wind power variability and its management. The U.S. PIRE project will operate under the aegis of Johns Hopkins University's Environment, Energy, Sustainability and Health Institute (E2SHI), which promotes cross-disciplinary research, outreach, and education for critical sustainability issues. Furthermore, the project will leverage close ties between Texas Tech University's National Wind Resource Center, several industries and national laboratories, as well as a number of utilities and agencies in the U.S. Mid-Atlantic, Northeast and Texas. This level of engagement provides a straight forward means for expediting the translation of promising results into practice. The project is funded by NSF's Office of International Science and Engineering (OISE) through the PIRE.

这项美国 - 欧洲国际研究与教育伙伴关系（PIRE）将与十个机构的研究生和本科生，本科生和教职员工互动，以解决在向我们的电力系统添加固有间歇性的风能来源时出现的紧迫研究问题。该合作伙伴关系包括约翰·霍普金斯大学，德克萨斯理工大学，史密斯学院和波多黎各大学的美国研究人员。欧洲的国际合作伙伴包括丹麦技术大学的风能研究小组和丹麦的Risø实验室，荷兰能源研究中心（ECN），比利时的Katholieke Universiteit Leuven以及西班牙的Comillas Pontifical Univers。该团队的合作研究工作将与包括精心设计的国际经验在内的培训计划紧密整合。总体而言，目的是共同生成工具，以更好地理解，表征和管理风能波动的后果。结果应有助于定义更有效的方法，以利用风为可持续的，具有成本效益的电源。通过专注于统计工具来检查风波动的可预测性，多个时间尺度以及空间和暂时的变化，美国欧洲团队希望获得有关可变性和间歇性的物理来源的新的，及时的知识，例如大气湍流，以及诸如驾驶范围内的风格参数的影响，例如间距性的跨度间隔，构成了依据，偏向于越来越强烈的，易于构成，易于构成，易于强化。为此，将通过实验室和现场观测来开发和验证计算流体动力学工具。其次，使用参数模型运行的结果将用于发展基本的理解，并使用诸如响应表面估计，统计多尺度方法和Co-Spectra之类的工具（例如响应表面估计）获得可变性的必要统计特征作为风网参数的功能。第三，这些角色将与生产电网的生产成本和计划模型相结合，以进行验证和进一步开发。 PIRE研究合作伙伴期望这些模型有助于确定风电场参数如何影响辅助服务要求以及如何最有效地使用存储和需求响应。为了更广泛的影响，结合了改进的风向输出变异性统计特征的新网格建模工具，应有助于优化未来的资源选址和设计。第四，结果将与电力市场的模型和经济影响融为一体。计量经济学方法和市场数据可用于提出潜在的，新的政策杠杆和市场设计，以支持对可再生，高度间歇能源的实用，具有成本效益的采用。皮尔活动的核心是核心教育，培训和心理组成部分。美国的学生参与者将受益于风能，计算机建模，电力网络，经济管理和经济学的创新课程，这些课程在合作伙伴机构出国。此外，美国学生，教职员工和毕业后的定期以研究为重点的现场访问将有助于欧洲机构和设施。访问并确保相关技术知识更快地转移，以提高对风能变异性及其管理的当前理解。美国皮尔项目将在约翰·霍普金斯大学的环境，能源，可持续性和卫生研究所（E2SHI）的宙斯盾下运作，该研究所促进跨学科研究，外展和教育对于关键的可持续性问题。此外，该项目将利用德克萨斯理工大学国家风能资源中心，几个行业和国家实验室以及美国中大西洋，东北和德克萨斯州的许多公用事业和机构之间的密切联系。这种参与度提供了一种直接的手段，可以加快将承诺结果转化为实践。该项目由NSF的国际科学与工程办公室（OISE）资助。