在土耳其安卡拉使用室外测量的光伏模块温度和能量产出的热建模和验证

B. Tunçel, B. Akinoglu, T. Ozden, R. Balog
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引用次数: 2

摘要

安卡拉位于土耳其中部安纳托利亚地区,气候为干大陆性气候,年日照量约为1750千瓦时/平方米。在向可再生能源过渡的过程中,需要进行详细分析,以确保有效和经济地利用现有的太阳能资源。这些分析的一个重要部分是计算预期发电量。对于光伏(PV)系统,这包括温度对光伏效率的影响,这决定了光伏组件的发电量。在本研究中,通过将穿过光伏组件的风速和风向添加到强制对流项中,并包括组件转换效率的温度依赖性,改进了第一性原理热建模方法。该分析模型基于能量守恒原理,并使用了从大多数国家气象部门现成获得的气象数据。该数学分析方法适用于在不需要安装和监控试验系统的时间和费用的情况下预测所提出的光伏装置的性能。将数学模型与安卡拉METU-GUNAM室外测试设施的测量数据进行比较,以验证该方法。初步分析表明,该模型在日循环的日出和日落肩膀上表现良好,发电量偏差仅为几W/m2,模块温度偏差约为2°C。然而,这些偏差可能会在太阳正午时达到12 W/m2和8°C,这表明该模型仍需要进一步改进。总的来说,发现该误差比使用基本显式相关方法得到的误差要小,并且提供了一个优点,即它可以用于其他地理环境,这些地理环境可以获得日照和气象数据,而无需建立试验场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal Modeling and Verification of PV Module Temperature and Energy Yield Using Outdoor Measurements for Ankara, Turkey
Ankara is in the Central Anatolia region of Turkey where the climate is dry-continental with an annual solar insolation of around 1750 kWh/m2. In the transition to renewable energy, detailed analyses are required to ensure effective and economic utilization of the available solar resource. An essential part of these analyses is to calculate expected energy yield. For photovoltaic (PV) systems, this includes the effect of temperature on the PV efficiency, which determines the power yield of the PV modules. In this study, a first-principles thermal modeling approach is improved by adding the speed and direction of wind across the PV module into a forced convection term as well as including the temperature dependency of the module conversion efficiency. The analytical model is based on the principle of conservation of energy and uses meteorological data that are readily available from most state meteorological services. The mathematical analysis is suitable to predict the performance of a proposed PV installation without the time and expense of installing and monitoring a pilot system. The mathematical model is compared against measured data from the METU-GUNAM Outdoor Test Facility in Ankara to validate the methodology. Preliminary analyses showed that the model performs well especially during sunrise and sunsets shoulders of the diurnal cycle with a deviation of only a few W/m2 for the electrical power yield and about 2°C for the module temperature. However, these deviations could become as large as 12 W/m2 and 8°C at solar noon which suggests that the model still requires further improvement. In general, this error was found to be less that obtained by using basic explicit correlation methods and offers the advantage that it can be used for other geographical environments for which insolation and meteorological data is available without needing to construct a test-site.
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