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, Available online , doi: 10.16516/j.ceec.2024-358
Abstract:
Introduction The analysis of limited icing capacity of wind turbine in cold wave weather is difficult to predict, resulting in inaccurate wind power prediction and insufficient decision-making basis for wind power dispatching. Method Through the prediction model of the limited icing capacity of wind turbine, the limited icing capacity of wind turbine in extreme cold wave weather process in Guangxi was analyzed and summarized by using conventional meteorological observation data, wind turbine shutdown actual data and numerical model data. Result The results show that the reference value and accuracy of icing prediction are effectively improved by integrating the numerical prediction products with the actual data of limited icing capacity and applying regression analysis for real-time correction. In addition, the icing prediction model can effectively respond to the strong cold air system southward affecting the Guangxi wind farm, but the response to the turning weather is insufficient, and the prediction result is larger than the actual data. At the same time, the numerical model prediction results have amplitude deviation and phase deviation, and the predicted value is larger than the actual value in this process. In terms of prediction effect, the model performs better in air temperature prediction than relative humidity and wind speed prediction, and the prediction effect of meteorological elements in high altitude areas is generally better than that in low altitude areas. Conclusion Based on the above conclusions, some suggestions are put forward, such as strengthening the early warning and prediction ability of cold wave, carrying out the upgrading and transformation of icing capacity prediction system, so as to improve the prediction accuracy of the limited icing capacity of wind turbine in extreme cold wave weather.
, Available online , doi: 10.16516/j.ceec.2024-126
Abstract:
Introduction Offshore wind power safety is of paramount importance. Meteorological services effectively address forecasting and warning challenges related to high waves, storm surges, severe convection and sea fog that impact wind farm safety, ensuring the secure and efficient operation of offshore wind energy projects. Method This paper took the meteorological services for offshore wind farms in Jiangsu as an example. By utilizing the data assimilation techniques and state-of-the-art artificial intelligence methods, combined with numerical models, it developed key technologies such as wind-wave-current forecasting for offshore wind farms, intelligent forecasting of significant wave height and storm surges, as well as high-impact weather monitoring and forecasting alerts. Ultimately, this led to the refinement of meteorological services and applications for offshore wind farms. The reflections on the empowerment of meteorology in the offshore wind power industry and the enhancement of technological integration across different sectors were presented. Result The results indicate that the spatial and temporal resolution of forecasting elements such as 10 m wind, 100 m wind, and wave height in offshore wind farms has been improved to 1 hour and 3 kilometers. The lead time for forecasting significant wave height and storm surge water level has increased to 72 hours, with an 85% accuracy rate for 6-hour forecasts. The lead time for severe convective warnings has been advanced by 1 hour, and sea fog warnings by half an hour, with a forecast accuracy rate of 92%. The technology has enabled refined meteorological services and applications for multiple working scenarios. Conclusion The application of key technologies in offshore wind farm meteorological services has effectively enhanced the safety production and O & M capabilities of offshore wind power, optimized the power generation efficiency of offshore wind turbine units, reduced the costs and losses of offshore operations, ensured the safety of offshore operations, and minimized losses of life and property. As offshore wind farms continue to evolve, meteorology will increasingly integrate with various disciplines, empowering the development of the entire offshore wind power industry chain.
, Available online , doi: 10.16516/j.ceec.2024-334
Abstract:
Introduction The implementation of carbon neutrality and carbon peaking policies has promoted the rapid development of wind power, a clean energy source. In recent years, extreme weather and climate events occur frequently, and with the large-scale production and grid connection of wind power, the issue of meteorological disasters in wind farms caused by extreme weather has become more prominent. Extreme weather not only poses severe challenges to wind power development, but may also affect the grid stability and reliability of power supply. Therefore, it is necessary to deeply understand the mechanism of how extreme weather affects wind power development, and take effective prevention and response measures to ensure the healthy and safe development of the wind power industry. Method By reviewing the recently published literature on meteorological disasters in wind farms, the paper classified the high-impact weather affecting wind power development into two major categories: extreme weather and adverse weather. It summarized the impacts of extreme weather such as typhoon, strong wind, lightning, rainstorm, sandstorm, cryogenic freezing and high temperature, as well as adverse weather such as calm breeze wind, salt spray and sea fog, on wind farm planning, resource assessment, survey and design, installation construction, infrastructure, wind power output and wind power prediction during the planning and design, construction, and operation stage of wind farm. Result In the planning and design stage, it is necessary to identify and assess the risks of high-impact weather, and carry out scientific macro and micro site selection. In the construction stage, rainstorm, cryogenic freezing and so on can affect transportation and delay the construction period; strong winds, heavy rain and so on affect hoisting and cause operational risks; sea fog, lightning and so on may affect the safety of offshore wind power construction. In the production and operation stage, high-impact weather can lead to large-scale shutdown of wind farms and loss of output, and even threaten the safe and stable operation of the power grid. Except for tropical cyclones of a certain intensity, other high-impact weather events are not conducive to wind power output. The frequent occurrence of high-impact weather leads to a reduction in the accuracy of wind power forecasting. Conclusion Finally, measures to cope with high-impact weather are proposed, including strengthening emergency management and high-impact weather monitoring and early warning, considering the impact of high-impact weather on wind power forecasting, and strengthening the construction of energy storage system.
, Available online , doi: 10.16516/j.ceec.2024-234
Abstract:
Introduction Clean and low carbon production is the core target of the new energy system, and the construction of the national new energy system is an important measure to realize the carbon peaking and carbon neutrality goals. Meteorological factors and disasters have great impacts on the stable and safe operation of the power grid. It is necessary to build a high-quality meteorological service system according to the needs of the national new energy system construction. Method In this paper, literature and policy research and expert consultation methods were adopted. Based on the analysis of the relevant policie measures of the national new energy system, the future development direction of the energy meteorological service was studied, and the development proposals of the meteorological service system for the construction of the new energy system were put forward. Result The research shows that service departments at various levels of China Meteorological Administration have carried out energy meteorological services in wind power, solar power, hydropower, nuclear power, power grain operation, energy consumption and other aspects. The construction of the national new energy system puts forward new requirements for meteorological service, such as optimizing the overall layout of meteorological service support for the construction of clean energy bases, strengthening the accuracy of power generation forecast and climate prediction services, and carrying out meteorological service support for various scenarios such as the construction of new energy infrastructure, and power generation, storage, transmission, and consumption. Conclusion According to the requirements of the national new energy system construction, proposals are put forward from aspects such as optimizing the layout of meteorological services, improving service support capabilities, strengthening talent and cooperation mechanisms.