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光伏配置对茶树光合作用影响的模拟与预测分析

王万红 孟超 梁涛 张霞 邹婷 董煌林 李明

湖南农业大学学报(自然科学版)2026,Vol.52Issue(1):74-80,7.
湖南农业大学学报(自然科学版)2026,Vol.52Issue(1):74-80,7.DOI:10.13331/j.cnki.jhau.2026.01.009

光伏配置对茶树光合作用影响的模拟与预测分析

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

王万红 1孟超 2梁涛 2张霞 2邹婷 3董煌林 3李明3

作者信息

  • 1. 五凌电力有限公司,湖南 长沙 410004
  • 2. 山东电力工程咨询院有限公司,山东 济南 250013
  • 3. 湖南省农业装备研究所,湖南 长沙 410125
  • 折叠

摘要

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.

关键词

茶树/光伏农业系统/光辐射模拟/光合作用/光响应模型

Key words

tea plant/photovoltaic agricultural system/optical radiation simulation/photosynthesis/light response model

分类

信息技术与安全科学

引用本文复制引用

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):74-80,7.

基金项目

国家电力投资集团有限公司科研项目(KYB12022ZH03) (KYB12022ZH03)

湖南农业大学学报(自然科学版)

1007-1032

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