Solar Photovoltaics forecasting for efficient power management

太阳能光伏发电预测以实现高效电力管理

• 批准号: LE220100022
• 负责人: Prof Tapan Saha
• 金额: $ 31.67万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Infrastructure, Equipment and Facilities
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-04-04 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LE220100022
• 关键词: Solar; Photovoltaics; forecasting; efficient; power

This ARC LIEF aims to establish a Light Detection and Ranging (LiDAR) facility to support leading-edge Australian research in solar power generation management and atmospheric monitoring, bringing together three key topics of the century: renewable power generation, big data and climate change. Real-time monitoring, control and supply/demand forecast for solar power management require not only extensive sensor data from solar plant devices but also accurate and location specific cloud data, with accurate solar forecasts being absolutely critical to securely manage large-scale solar plants. The proposed LiDAR provides powerful, real-time information for short-term and long-term solar forecasting and investigating clear air dynamics.

该ARC LIEF旨在建立一个光探测和测距（LiDAR）设施，以支持澳大利亚在太阳能发电管理和大气监测方面的领先研究，汇集了世纪的三个关键主题：可再生能源发电，大数据和气候变化。太阳能管理的实时监测、控制和供应/需求预测不仅需要来自太阳能发电厂设备的大量传感器数据，还需要准确和特定位置的云数据，准确的太阳能预测对于安全管理大型太阳能发电厂至关重要。拟议中的激光雷达为短期和长期太阳预报和调查晴朗的空气动力学提供了强大的实时信息。