Forecasting and early warning system of offshore wind power plant

Abstract

The invention provides a forecasting and early warning system of an offshore wind power plant, and the system comprises a data access layer module which is configured to carry out the collection and storage of the real-time observation data of the hydrometeorology of the offshore wind power plant; an application logic layer module configured to perform real-time monitoring on the collected real-time observation data and provide forecasting and early warning data; and a user interface layer module configured to display a forecasting and early warning result to the user according to the forecasting and early warning data. The method can provide detailed and accurate analysis conclusions of various factors of the offshore wind power plant, and solves the problem that the overall resource utilization rate of a traditional infrastructure is not high.

Description

technical field [0001] The invention relates to the field of offshore wind farms, and more specifically, to a forecast and early warning system for offshore wind farms. Background technique [0002] The current coastal wind energy data are mainly obtained through single station data such as ship meteorological observations, buoys and island meteorological stations, as well as large-scale numerical simulation and satellite remote sensing technology. Observation data are mostly limited to conventional, single-point meteorological and hydrological parameters. The construction of offshore wind farms and the transportation and maintenance of wind turbines are all affected by sea conditions and wind conditions, and the required weather window is also relatively complicated. For example, the wave height must be within the effective wave height that the ship for transportation and installation can bear. The wind speed has strict requirements, etc., and the harsh meteorological and h...

AI Technical Summary

Problems solved by technology

[0002] The current coastal wind energy data are mainly obtained through single station data such as ship meteorological observations, buoys and island meteorological stations, as well as large-scale numerical simulation and satellite remote sensing technology. Observation data are mostly limited to conventional, single-point meteorological and hydrological parameters. The construction of offshore wind farms and the transportation and maintenance of wind turbines are all affected by sea conditions and wind conditions, and the required weather window is also relatively complicated. For example, the wave height must be within the effective wave height that the ship for transportation and installation can bear. The wind speed has strict requirements, etc., and the harsh meteorological and hydrological environment will not only cause damage to the equipment of the offshore wind farm, but sometimes even endanger the safety of personnel

The data provided by the current technical solutions have short time series, large spatial scale, and uneven distribution frequency. They cannot provide detailed and accurate analysis conclusions in the aspects of wind energy resource assessment and offshore wind farm design.

Based on conventional, single-point meteorological and hydrological parameter data, due to limited observation conditions, data content and sequence length, the overall design capability of offshore wind farms is restricted, which also affects the prediction of the cost-benefit ratio of development projects

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