← 返回
光伏发电技术
★ 5.0
垂直双面光伏系统模型验证:基于现场数据、不同朝向和纬度的研究
Vertical Bifacial Photovoltaic System Model Validation: Study With Field Data, Various Orientations, and Latitudes
| 作者 | Erin Tonita · Silvana Ovaitt · Henry Toal · Karin Hinzer · Christopher Pike · Chris Deline |
| 期刊 | IEEE Journal of Photovoltaics |
| 出版日期 | 2025年5月 |
| 技术分类 | 光伏发电技术 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 双面光伏系统 辐照度模型 验证 均方根误差 垂直光伏建模 |
语言:
中文摘要
准确建模光伏(PV)系统对于太阳能光伏电站的设计、财务分析和监测至关重要。对于双面光伏应用,模型还必须提供可靠的背面辐照度算法。然而,对于东西向垂直定向系统,双面光伏辐照度模型尚未得到充分验证,在该系统中,正午时分太阳直射光束会发生转换。在此,我们利用在美国科罗拉多州戈尔登市(北纬40°)和美国阿拉斯加州费尔班克斯市(北纬65°)收集的实地数据,对五种双面辐照度模型进行了验证,这些模型适用于东西向垂直、南北向垂直和朝南倾斜的阵列。在亚小时级模型中,没有明显表现最佳的模型;“Bifacial_radiance”、“bifacialVF”、系统顾问模型和双面能量追踪器(DUET)在预测光伏发电量的季节性和每日变化方面表现相当,均方根误差(RMSE)根据位置和系统方向的不同,处于11% - 28%的范围内。受限于小时级分辨率的PVSyst(v7.4.8),其均方根误差在33% - 45%的范围内。所有模型出现高均方根误差的主要原因相似;采用大于100 W/m²的辐照度截断值、进行晴空过滤以及去除有积雪时的时间戳,可使亚小时级模型的均方根误差降至4% - 13%,使PVSyst的均方根误差降至12% - 25%。研究发现,定期对气象站进行维护可使阿拉斯加地区的模型均方根误差进一步降低最多3个百分点。最后,我们对北纬15°至85°之间250多个地点的双面光伏系统进行了建模,发现垂直光伏系统的模型预测年日照量偏差往往比朝南固定倾斜系统高2 - 3倍。我们讨论了改进垂直光伏建模的潜在方法,并为北方环境下的高质量实地数据收集提供了建议。
English Abstract
Accurate modeling of photovoltaic (PV) systems is critical for the design, financial analysis, and monitoring of solar PV plants. For bifacial PV applications, models must additionally offer robust rear-side irradiance algorithms. However, bifacial PV irradiance models have yet to be sufficiently validated for east–west vertically oriented systems, where direct beam solar irradiation swaps at solar noon. Here, we validate five bifacial irradiance models with field data collected in Golden, CO, USA (40°N) and Fairbanks, AK, USA (65°N) for east–west vertical, north–south vertical, and south-tilted arrays. There is no clear best performer among subhourly models; Bifacial_radiance, bifacialVF, the System Advisor Model, and dual-sided energy tracer (DUET) comparably predict seasonal and daily changes in PV production, with root-mean-squared error (RMSE) falling in the range of 11–28% depending on the location and system orientation. PVSyst (v7.4.8), limited by hourly resolution, demonstrates RMSE in the range of 33–45%. The primary causes of high RMSE are similar for all models; using an irradiance cutoff of >100 W/m2, using clear-sky filtering, and removing time stamps with snow, lowers model RMSE to 4–13% for subhourly models and 12–25% for PVSyst. Regular meteorological station servicing is found to further decrease model RMSE by up to 3% abs. in Alaska. Finally, we model bifacial PV systems in over 250 locations between 15 and 85°N, finding that deviations between model-predicted annual insolation tend to be 2–3× higher for vertical PV systems than south-facing fixed-tilt systems. We discuss potential methods for improving vertical PV modeling and provide recommendations for high-quality field data collection in northern environments.
S
SunView 深度解读
该垂直双面光伏系统建模与验证技术对阳光电源SG系列逆变器和iSolarCloud平台具有重要应用价值。研究中的双面辐照度精确建模方法可直接应用于SG逆变器的双面组件MPPT算法优化,通过准确预测正背面发电贡献实现更高发电效率。多纬度、多朝向的验证数据为阳光电源开发适应不同地理环境的逆变器控制策略提供依据,特别是在农光互补、光伏围栏等垂直安装场景。地表反射率、阵列间距等影响因素的量化分析可集成到iSolarCloud智能设计模块,提升系统设计精度和财务预测准确性,为客户提供更可靠的投资回报评估工具,增强阳光电源在双面组件应用领域的技术竞争力。