首页> 外文期刊>Applied Energy >Optimising tidal range power plant operation
【24h】

Optimising tidal range power plant operation

机译:优化潮汐电站的运行

获取原文
获取原文并翻译 | 示例
       

摘要

Tidal range power plants represent an attractive approach for the large-scale generation of electricity from the marine environment. Even though the tides and by extension the available energy resource are predictable, they are also variable in time. This variability poses a challenge regarding the optimal transient control of power plants. We consider simulation methods which include the main modes of operation of tidal power plants, along with algorithms to regulate the timing of these. This paper proposes a framework where simplified power plant operation models are coupled with gradient-based optimisation techniques to determine the optimal control strategy over multiple tidal cycles. The optimisation results inform coastal ocean simulations that include tidal power plants to gauge whether the benefits of an adaptive operation are preserved once their hydrodynamic impacts are also taken into consideration. The combined operation of two prospective tidal lagoon projects within the Bristol Channel and the Severn Estuary is used as an example to demonstrate the potential benefits of an energy maximisation optimisation approach. For the case studies considered, the inclusion of pumping and an adaptive operation is shown to deliver an overall increase in energy output of 20-40% compared to a conventional two-way uniform operation. The findings also demonstrate that smaller schemes stand to gain more from operational optimisation compared to designs of a larger scale.
机译:潮汐能发电厂代表了从海洋环境大规模发电的一种有吸引力的方法。即使潮汐和可扩展的可用能源是可预测的,但它们在时间上也是可变的。这种变化对发电厂的最佳瞬态控制提出了挑战。我们考虑的模拟方法包括潮汐电厂的主要运行模式,以及调节这些电厂运行时间的算法。本文提出了一个框架,其中简化的电厂运行模型与基于梯度的优化技术相结合,以确定多个潮汐周期的最优控制策略。优化结果为包括潮汐电厂在内的沿海海洋模拟提供了依据,以评估一旦考虑了其水动力影响后是否仍保留了自适应操作的优势。以布里斯托尔海峡和塞文河口内的两个预期潮汐泻湖项目的联合运行为例,说明了能量最大化优化方法的潜在好处。对于所考虑的案例研究,与传统的双向均匀运行相比,泵送和自适应运行显示出可提供20-40%的总能量输出。研究结果还表明,与大规模设计相比,较小的方案将从运营优化中获得更多收益。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号