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考虑地形影响的太阳能资源精细化评估及技术可开发量计算

Refined Assessment of Solar Energy Resources and Calculation of Technical Exploitable Capacity Considering Terrain Influence

  • 摘要:
      目的  我国提出“碳达峰、碳中和”目标,意味着到2030年,我国风电、光伏发电总装机容量要在现有基础上增加2倍以上,大力开发包括太阳能资源在内的可再生清洁能源已成为国际社会的共识。文章以湖北省房县为例,通过引入再分析资料及地形数据,开展太阳能资源的精细化评估,计算技术可开发量,为合理开发利用太阳能资源提供数据支撑。
      方法  通过位于该县境内的1个辐射观测站(A站)2012~2020年辐射观测数据,对临近的ERA5再分析资料进行订正,形成2000~2020年精度为0.1°×0.1°的辐射格点产品,同时考虑坡度、坡向、海拔高度等对辐射的影响,采用GIS技术方法建立基于地理信息的辐射模型。基于Landsat TM/ETM/OLI遥感影像资料,引入土地利用类型数据,考虑光伏开发的限制因素和不同土地类型的可利用率。
      结果  将模型模拟结果与区域内另外2个辐射观测站(B站、C站)实际观测数据进行对比。从整年总体情况看,B站年平均相对误差为5.7%,C站年平均相对误差为3.4%;从各月辐射看,B站相对误差在2%(1月)~14.1%(8月)之间,C站相对误差在0.1%(2月)~15.4%(6月)之间,所建模型能较好反映实际辐射情况。
      结论  根据模拟结果,得到房县太阳能资源分布情况,年总辐射在4.00~4.13 GJ/m2,空间上呈现中部河谷风地区的资源多,南、北高海拔山区的资源少的分布。经计算,得到房县光伏发电可开发面积为60.7 km2,技术开发量为4.501 GW。

     

    Abstract:
      Introduction  To achieve "carbon peaking and carbon neutrality" goals, the total installed capacity of wind and photovoltaic power generation in China will have to be increased by more than twice the current level by 2030. The international community has reached a consensus on developing solar energy resources and other kinds of renewable and clean energy vigorously. In this article, taking Fang County in Hubei Province as an example, a refined evaluation of solar energy resources is conducted and the technical exploitable capacity is calculated by combining reanalysis data and terrain data to provide data support for the appropriate development and utilization of solar energy resources.
      Method  The reanalysis data of nearby ERA5 were corrected and a radiation grid product with an accuracy of 0.1°×0.1° was produced based on the radiation observation data obtained from 2012 to 2020 in one radiation observation station (Station A) located in the county. A geographic information-based radiation model was established by using GIS technology and considering factors such as slope, aspect, altitude, and their impact on radiation. Based on Landsat TM/ETM/OLI remote sensing image data and incorporating land use type data, the limitations of photovoltaic development and the availability of different land types were discussed.
      Result  The built model can satisfactorily reflect the actual radiation situation. The model simulation results are compared with the actual observation data in two other radiation observation stations (Station B and C) in the region and the results are that, considering the overall situation throughout the year, the annual average relative errors of Station B and Sstation C is 5.7% and 3.4%, respectively, and from the perspective of the monthly radiation, the relative error of Station B is between 2% (January) and 14.1% (August), and that of Station C is between 0.1% (February) and 15.4% (June).
      Conclusion  Based on the simulation results, it is clear how solar energy resources are distributed in Fangxian County. Spatially, there are more resources in the windy region of the central valley and fewer resources in the high-altitude mountainous areas in the south and north, with an annual total radiation of 4.00~4.13 GJ/m2. It is calculated that the exploitable area for photovoltaic power generation in Fangxian County is 60.7 km2, and the technological development capacity is 4.501 GW.

     

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