As wind and solar power installations proliferate, power grids will face new challenges in ensuring consistent coverage from variable renewable resources. One option to reduce variability is to integrate the output from wind and solar facilities with dissimilar temporal profiles of output. This study measured the complementarity of wind and solar resources sited in various regions of Texas. This study modeled solar and wind power output using the System Advisory Model with solar data from the National Solar Radiation Database and wind data from the Wind Integration National Dataset Toolkit. Half-hourly power production was assessed based on resource location, plant size, hourly load, inter-annual variability, and solar array design for all sites. We found that solar and wind resources exhibit complementary peaks in production on an annual and daily level and that West and South Texas wind resources also exhibit complementarity. Pairings of West Texas wind with solar power or South Texas wind sites yield the highest firm capacity. Solar farms are better suited for providing power during summertime hours of peak demand, whereas wind farms are better for winter. Taken together, our results suggest that Texas renewable power production can be made more reliable by combining resources of different types and locations.

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评估德克萨斯州的太阳能和风能互补性

随着风能和太阳能装置的激增，电网将面临新的挑战，以确保不断变化的可再生资源覆盖范围。减少可变性的一种选择是将风能和太阳能设施的输出与不同的时间输出曲线进行整合。这项研究测量了德克萨斯州各个地区的风能和太阳能资源的互补性。这项研究使用“系统咨询模型”对来自国家太阳辐射数据库的太阳数据和来自“风能集成国家数据集工具包”的风数据进行建模，以模拟太阳能和风能输出。根据所有地点的资源位置，工厂规模，每小时负荷，年际变化和太阳能电池阵列设计，评估了半小时的发电量。我们发现，太阳能和风能在每年和每天的水平上都表现出互补的高峰，而西德克萨斯和南德克萨斯的风能也表现出互补性。西得克萨斯风能与太阳能或南得克萨斯风能场的配对产生了最高的固定容量。太阳能发电场更适合在需求高峰的夏季提供电力，而风力发电场更适合冬季。综上所述，我们的结果表明，通过组合不同类型和位置的资源，可以使德克萨斯州的可再生能源发电更加可靠。而风电场则更适合冬季。综上所述，我们的结果表明，通过组合不同类型和位置的资源，可以使德克萨斯州的可再生能源发电更加可靠。而风电场则更适合冬季。综上所述，我们的结果表明，通过组合不同类型和位置的资源，可以使德克萨斯州的可再生能源发电更加可靠。