With the development of urbanization and the deepening of people's awareness of environmental protection, China's demand for green energy is increasing, and the site selection of photovoltaic power plants is a relatively complex process. Taking Turpan as an example, as a typical continental warm zone desert climate, China, with abundant sunshine and scarce rainfall, it is more suitable for building photovoltaic power plants compared to other areas. In the process of site selection and planning, factors such as local sunshine intensity, rainfall, land use type, slope, and transportation convenience need to be considered. In addition, support from national or local policies is also needed. By using GIS technology to weight and overlay climate data, land use data, power grid distribution, and other data from Turpan City, the optimal site selection plan can be determined to maximize the benefits of photovoltaic power generation and reduce costs. In summary, the site selection planning of photovoltaic power plants based on diverse data requires a comprehensive analysis of various factors to ensure the optimal location and achieve sustainable energy utilization. The research results show that the Turpan region is particularly unsuitable for the majority of the area (82.80%), which may be related to extreme climate conditions, terrain limitations, or other ecological protection needs in the region. The areas of the basic suitable zone and the most suitable zone are relatively small, accounting for 14.13% and 1.88% of the total area, respectively. However, these areas have good natural conditions and infrastructure, making them suitable for priority development and further optimization. The small area and proportion of unsuitable areas indicate that there may be some limiting factors in these areas that require more technological or economic investment to overcome.

Jilili·Xieraili, Junwei Xuan, Jinzhi Gu, Jitong Yin, Yiting Ge. Research on Site Selection Planning of Photovoltaic Power Plants Based on Multi Source Data. Academic Journal of Environment & Earth Science (2024), Vol. 6, Issue 5: 51-56. https://doi.org/10.25236/AJEE.2024.060508.

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