| Wind energy is a kind of clean and reproducible energy sources. Wind power generation is a ripest technology, which has huge potential development on the large-scale and commercialized application. How to choose the optimum farm location of wind resources is the essential primary condition for wind power generation. A crucial issue is to clearly understand and obtain the distribution and variability of wind energy resource, to analyze and look for the suitable potential wind electric farm location. Accurate wind energy resource assessment will help to wind electric farm development on large-scale.At present stage, one restrictive factor for wind energy mass sustainable development in China is has not full clean the distribution of wind energy resource distribution, and can not make wind turbine level certain. In order to provide the scientific basis for development planning of wind power, firstly, we review the development of wind energy assessment techniques and experiences both in China and world, which demonstrate that numerical simulation is an effective method for wind energy assessment. Theoretically, the numerical simulation, which based on resolving math-physics equation of dynamics and thermodynamics in atmosphere boundary layer, is better than the space interpolation methods depending on weather station observed datasets. The practice experiences show that the numerical simulation method can get better wind energy distribution on high resolution, and exactly make sure wind power exploitability areas and reserves. Most above all, it can provide scientific fundamentals for the middle and long term program of wind energy.This work firstly introduces the Wind Energy Simulation Toolkit (WEST) based on a statistical-dynamical downscaling approach, which is a model based on atmosphere mesoscale model and classes large scale climate background fields. We have discussed the method of wind element classification on large scale. Under different large scale background field, the performance of simulation of the wind energy distribution by the mesoscale model with high resolution was validated. A set of different solutions sensitivity experiments was performed under different weather conditions, different terrain influences. The WEST's performance was validated in different regions. By the numerical simulation and statistics methods, China wind atlas with the resolution 5km in horizontally and 10m in vertical is made. According to the simulation, we completed nation-wide numerical divisions of wind resource at 50m in vertical. Meanwhile, as a case, the wind resource over middle part of Inner Mongolian, where wind resources are very rich, was evaluated and analyzed by the numerical simulating combined with Geographic Information System (GIS).(â… ) Using Wind Energy Simulation Toolkit (WEST), which based on mesoscale weather model, combining with classes of large scale climate background fields, developed by Canada, consider to the approaches of statistic class for crucial factors from long term observed datasets, high resolution terrain dataset, how to simulate primary principle and methods on the regional distribution of wind resource was compared and analyzed.(â…¡) A series of sensitivity experiments were performed with different weather conditions, different terrain influences, different solutions at coastal areas, flat terrain areas, mountain areas, high altitude areas, validated its simulation ability in different areas. The simulated results were compared with the observation dataset. The results show that the numerical simulation system has perfect performances for simulate the distribution of wind energy resource. It can reproduce distribution and variability of wind resources on regional scale. Exactly, the simulator has less error in flat terrain and low-altitude, but the simulating ability is not good in complex terrain and high-altitude, especially in mountain areas. The reasonable simulation results can be improved using observed datasets from weather site and tower. The results also show that simulator has good performances along coastal regions, it can providing wind resource over ocean, where has less observed data. This can be basis of explore wind resources over offing. Furthermore, simulation methods can find out the wind resources, where is not found and has a few observation sites.(â…¢)The China wind atlas with the resolution 5 km in horizontally and 10 m in vertical is completed by WEST through the classes large scale climate background fields, using NCEP/NCAR reanalysis data, and mesoscale simulation and statistics. The simulated results were compared with the observated datasets. The results show that the China wind atlas has reproduced the distribution of wind energy resource. It also illustrated the trend of richness and weaknesses of wind energy resources distribution in China.(â…£) Using high resolution numerical simulation results, the development of wind energy exploitation and resources and natural environment, requirement and of selection of wind farm and operation in practices were integrative analyzed, a standard of wind energy division at 50m height was set up. According this standard, we completed division of wind resources over China, at height of hub height of turbines, distribution of wind energy can divided into different areas: very rich areas, rich areas, much rich areas, common areas, weak areas. The results show that, the Inner Mongolia, the northern of Xinjiang, Gansu, southeastern costal area are rich areas of wind resources in China, these areas can be mainly regions for wind electric farm on large-scale in future.(â…¤) In this study, chooses the middle part of Inner Mongolian as a research case. A fine assessment of wind energy resource was made by numerical simulation. Using Geographic Information System (GIS), the data of meteorology stations and wind observation tower, we complete integrative assessment of wind resource in this region, we also obtain the spatial distribution and reserves of wind energy resource in this region. Completing validation of the performances of how numerical simulation combines with GIS in wind resource fine assessment.
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