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优化农光互补系统:开放式田间配置下设计、作物生产力与能源性能的综合分析
Optimizing agrivoltaic systems: A comprehensive analysis of design, crop productivity and energy performance in open-field configurations
| 作者 | Domenico Mazzeo · Andrea Di Zioa1 · Claudio Pesenti · Sonia Lev |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 390 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Developed a simulation framework for optimizing agrivoltaic (APV) system design. |
语言:
中文摘要
摘要 光伏(PV)系统的快速扩张对于能源系统的脱碳至关重要,但也引发了与农业争夺耕地的担忧。农光互补(APV)系统通过在同一土地上将光伏装置与农业生产相结合,提供了一种可持续的解决方案。然而,由于对设计参数及其对能源和作物生产力影响的理解有限,APV系统的推广应用受到限制。本研究提出了一种模拟框架,用于评估开放式田间APV系统的性能,重点分析地面覆盖率(GCR)、净空高度以及跟踪配置对太阳辐照度分布、作物产量和太阳能发电量的影响。采用土地当量比(LER)来评估农业产出与太阳能发电的综合生产力。针对温带气候条件建模了多种情景,结合三种作物(生菜、芜菁和玉米)以及具有固定式和跟踪式设计的双面光伏系统进行分析。结果表明,设计参数显著影响遮荫程度和光照分布。较高的净空高度和较低的GCR有助于提高农业生产力,特别是对耐阴性较差的作物如玉米更为有利,尽管这会略微降低能源产出。当GCR在0.6至0.2之间变化时,LER值介于1.04至2.05之间,表明APV系统相较于传统土地利用方式具有更高的综合生产力。这些发现有助于优化APV系统的设计,为政策制定者和项目开发者在协调可再生能源目标与农业可持续发展方面提供支持。
English Abstract
Abstract The rapid expansion of photovoltaic (PV) systems is essential for decarbonizing energy systems but raises concerns about competing with agriculture for arable land. Agrivoltaic (APV) systems offer a sustainable solution by integrating PV installations with agriculture on the same land. However, adoption is constrained by a limited understanding of design parameters and their effects on energy and crop productivity. This study presents a simulation framework to evaluate open-field APV systems, focusing on the impacts of ground coverage ratio (GCR), clearance height, and tracking configurations on solar irradiance distribution, crop yield, and solar energy generation. The Land Equivalent Ratio (LER) was employed to assess the combined productivity of agricultural output and solar energy generation. Scenarios are modeled for temperate climates, examining three crops (lettuce, turnip, and maize) alongside bifacial PV systems with fixed and tracking designs. Results showed that design parameters significantly affect shading and light distribution. Higher clearance heights and lower GCRs enhance agricultural productivity, particularly for shade-sensitive crops like maize, though slightly reducing energy yields. LER values ranged from 1.04 to 2.05 for the GCR variable between 0.6 and 0.2, demonstrating that APV systems are more productive than conventional land use. These insights support optimizing APV designs, aiding policymakers and developers in aligning renewable energy goals with agricultural sustainability.
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SunView 深度解读
该农光互补系统研究对阳光电源SG系列光伏逆变器及智能运维方案具有重要价值。研究中双面组件配合跟踪系统的优化设计,可结合我司1500V系统及多路MPPT技术,针对非均匀光照实现精准功率优化。LER值1.04-2.05验证了农光互补的土地综合效益,iSolarCloud平台可集成辐照度监测与作物生长数据,通过AI算法动态优化GCR与支架高度参数,在保障农业产出前提下最大化发电收益,为政策制定者提供数据支撑,拓展分布式光伏应用场景。