首页|乡村建筑节能光伏发电潜力计算方法

乡村建筑节能光伏发电潜力计算方法

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为提高对乡村地区绿色节能光伏发电潜力评估准确度,利用改进的DeepLabV3+,构建一种智能光伏发电潜力计算模型,并将该模型与GIS-DeepLabV3+模型进行年太阳辐射量模拟计算对比实验.结果表明:在多云和晴朗气候下,二者均可计算出年太阳辐射量(为 1 646 kW·h/m2),其中,改进模型在完全多云情况下,计算得到的年太阳辐射量为 1 458 kW·h/m2;在完全晴朗情况下,计算得到的年太阳辐射量为 1 921 kW·h/m2.而GIS-DeepLabV3+模型不能实时模拟云量变化,由此表明,改进模型对年太阳辐射量的模拟计算更加精准.研究结果可为准确评估乡村地区绿色节能光伏发电潜力提供良好参考.
Calculation method of energy saving photovoltaic power generation potential of rural building
In order to improve the accuracy of the evaluation of green energy-saving photovoltaic power generation potential in rural areas,an intelligent photovoltaic power generation potential calculation model was constructed by using the improved DeepLabV3+,and the annual solar radiation simulation calculation experiment was carried out with the GIS-DeepLabV3+model.The results show that the annual solar radiation(1 646 kW·h/m2)can be calculated in both cloudy and sunny climates,and the annual solar radiation calculated by the improved model is 1 458 kW·h/m2 under completely cloudy conditions.Under the condition of perfect sunshine,the calculated annual solar radiation is 1 921 kW·h/m2,but the GIS-DeepLabV3+model cannot simulate the change of cloud cover in real time,which shows that the improved model is more accurate in simulating the annual solar radiation.The results of this study can provide a good reference for accurately evaluating the potential of green and energy-saving photovoltaic power generation in rural areas.

photovoltaicsrural architectureattention mechanismGIS DeepLabV3+model

杨浩、丁璐璐

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安徽水利水电职业技术学院 建筑工程学院,合肥 231603

光伏发电 乡村建筑 注意力机制 GIS-DeeplabV3+模型

2024

延边大学学报(自然科学版)
延边大学

延边大学学报(自然科学版)

影响因子:0.388
ISSN:1004-4353
年,卷(期):2024.50(4)