光伏配置对茶树光合作用影响的模拟与预测分析
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国家电力投资集团有限公司科研项目(KYB12022ZH03)


Simulation and prediction analysis of photovoltaic configuration on photosynthesis of tea plant
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    摘要:

    以经济作物茶树为研究对象,于其生长旺期(6月至8月)在农光互补基地的光伏方阵内开展田间试验,并运用Ecotect软件模拟不同配置光伏系统板下的日均光辐射和时均光辐射,探究不同配置方案的光伏系统对茶树光合有效辐射的影响;采用Li-6800便携式光合测量仪测定茶树光响应曲线,基于4种光合模型拟合其光响应数学方程,结合光伏系统板下的实测光辐射数据,预测光伏系统板下茶树冠层的光合速率。结果表明:非直角双曲线模型为拟合茶树光响应曲线的最适模型,其决定系数R2(0.997 9)最大,均方误差和赤池信息量准则最小,且由模型估算得到的最大净光合速率、光饱和点、光补偿点等关键光合参数均符合茶树生理实际;与露天条件相比,农光互补系统下茶树的日均光合速率降低了3.40%~8.07%,09:00—11:00时段的时均光合速率下降了2.97%~6.90%;不同配置方案中,倾斜角20°、高度3.9 m、间距8 m时,光伏组件对茶树光合速率影响最大,而倾斜角28°、高度2.5 m、间距10 m时,对茶树光合速率影响最小。

    Abstract:

    This study was set to investigate the effects of photovoltaic(PV) arrangements on photosynthetically active radiation(PAR). Field experiments on tea plants, an important economic crop, were conducted during their peak growing season(June to August) within PV arrays of an agrivoltaic base. Daily and hourly average solar radiation beneath PV systems with different configurations was simulated using Ecotect software. Light response curves of tea plants were measured with a Li-6800 portable photosynthesis system and fitted using four photosynthetic models. The photosynthetic rates of the tea canopy under PV systems were then predicted by combining these fitted models with measured under-panel radiation. The results showed that the non-rectangular hyperbola model provided the best fit, exhibiting the highest coefficient of determination(R2=0.997 9), lowest mean squared error, and lowest Akaike information criterion. Model estimates of key photosynthetic parameters including maximum net photosynthetic rate, light saturation point, and light compensation point matched observations. Under agrivoltaics, daily average photosynthetic rates declined by 3.40%-8.07% and hourly average rates between 09:00 to 11:00 by 2.97%-6.90%. The strongest inhibition on tea plants photosynthesis occurred with 20° tilt, 3.9 m height, and 8 m spacing; the weakest with 28°, 2.5 m, and 10 m.

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王万红,孟超,梁涛,张霞,邹婷,董煌林,李明*.光伏配置对茶树光合作用影响的模拟与预测分析[J].湖南农业大学学报(自然科学版),2026,52(1):74-80.

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  • 在线发布日期: 2026-04-30
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