Optimizing Stochastic Renewable Energy Systems

优化随机可再生能源系统

• 批准号: 355687-2013
• 负责人: Crawford, Curran
• 金额: $ 2.33万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=549801
• 关键词: Optimizing; Stochastic; Renewable; Energy; Systems

A key obstacle to the widespread adoption of renewable energy, such as wind and tidal power, is that by their nature they fluctuate over time. Traditionally, our power systems have been designed for conventional power sources such as hydro, coal and gas which can be commanded to run at-will to supply the fluctuations in the load being served by the system. In order to change that paradigm and make it possible to integrate more renewables onto the grid, the machines themselves must be designed with these fluctuations in mind, both in terms of maximizing their individual performance in turbulent winds and currents, and also by considering the larger systemic effects of the fluctuations during design. This research program aims to develop advanced analysis and optimization tools capable of tackling this problem. The first element of the research method will be the development and validation of advanced analysis tools capable of properly simulating through time advanced machine concepts which have non-standard blades with sweep and curvature, as well as fibre-reinforced structures that can induce beneficial flexing to offset unsteady aerodynamic loads. The next stage in the research will be to adapt the analysis tools so that they are less expensive to run, by obviating the need for pure time-based analysis with the application of new stochastic and probabilistic analysis approaches. The final stage of the program will glue together these computational tools, together with ones for control, cost, and the downstream electrical system, in a rigorously defined framework so that full system optimization studies can be carried out. The net output will be a capability to design wind and tidal turbines that are more cost effective than what is possible today. Canadian machine manufactures who already have a defined presence in the small to medium scale wind and tidal market will gain a competitive advantage globally. Designers working on the next generation of very large wind turbines will be enabled to create new concepts for larger rotors at a competitive cost for low-wind sites, to aid the widespread deployment of wind energy. Emerging tidal turbine designs will also be better able to withstand the harsh marine environment.

广泛采用风能和潮汐能等可再生能源的一个主要障碍是，它们的性质会随着时间而波动。传统上，我们的电力系统是为水电、煤炭和天然气等传统电源设计的，这些电源可以被命令随意运行，以满足系统所服务的负载的波动。为了改变这种模式，并使更多的可再生能源融入电网成为可能，机器本身的设计必须考虑到这些波动，无论是在湍流风和水流中最大限度地提高其个体性能，还是在设计过程中考虑波动的更大系统效应。该研究计划旨在开发能够解决这一问题的先进分析和优化工具。研究方法的第一个要素将是开发和验证先进的分析工具，这些工具能够正确地模拟先进的机器概念，这些概念具有非标准的叶片，具有后掠角和曲率，以及纤维增强结构，可以诱导有益的弯曲以抵消非定常气动载荷。研究的下一个阶段将是调整分析工具，使其运行成本更低，通过应用新的随机和概率分析方法来避免纯基于时间的分析。该计划的最后阶段将把这些计算工具与控制、成本和下游电力系统的计算工具结合在一起，形成一个严格定义的框架，以便进行全面的系统优化研究。净产出将是设计风力和潮汐涡轮机的能力，这些涡轮机比今天的涡轮机更具成本效益。加拿大机械制造商已经在中小规模的风力和潮汐市场上占有一席之地，他们将在全球范围内获得竞争优势。致力于下一代超大型风力涡轮机的设计师将能够以具有竞争力的成本为低风力场地创建更大转子的新概念，以帮助风能的广泛部署。新兴的潮汐涡轮机设计也将能够更好地承受恶劣的海洋环境。