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Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

机译:来自综合预测系统(ECMWF)的DNI的短期预测,用于中央接收系统的优化操作策略

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摘要

Short-term forecasts of direct normal irradiance (DNI) from the Integrated Forecasting System (IFS) and the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF) were used in the simulation of a solar power tower, through the System Advisor Model (SAM). Recent results demonstrated that DNI forecasts have been enhanced, having the potential to be a suitable tool for plant operators that allows achieving higher energy efficiency in the management of concentrating solar power (CSP) plants, particularly during periods of direct solar radiation intermittency. The main objective of this work was to assert the predictive value of the IFS forecasts, regarding operation outputs from a simulated central receiver system. Considering a 365-day period, the present results showed an hourly correlation of ≈0.78 between the electric energy injected into the grid based on forecasted and measured data, while a higher correlation was found for the daily values (≈0.89). Operational strategies based on the forecasted results were proposed for plant operators regarding the three different weather scenarios. Although there were still deviations due to the cloud and aerosol representation, the IFS forecasts showed a high potential to be used for supporting informed energy dispatch decisions in the operation of central receiver units.
机译:从集成预报系统(IFS)和欧洲中期天气预报中心(ECMWF)的全球数值天气预报模式直接正常辐射(DNI)的短期预测,太阳能发电塔的模拟中使用,通过系统顾问模型(SAM)。最近的研究结果表明,DNI预报已得到增强,具有成为工厂操作员,允许在聚光太阳能发电(CSP)的植物的管理实现更高的能量效率的合适的工具的潜力,特别是在直接太阳辐射阵发期间。这项工作的主要目的是断言IFS预测的预测值,对于从模拟中央接收器系统的运行的输出。考虑365天期间,本结果表明的≈0.78注入基于预测和测量的数据网格中的电能之间的每小时的相关性,而具有较高相关性被发现的日常值(≈0.89)。提出了关于三个不同的天气情况下厂经营基础上,预测结果的运营战略。虽然仍有由于云和气溶胶代表性偏差,IFS的预测显示,用于在中央接收器单元的操作支持明智的能源调度决策的高潜力。

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