کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1549736 1513105 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of current and the maximum power of solar cell via voltage generated by light and irradiance using analytically invertible function
ترجمه فارسی عنوان
پیش بینی قدرت فعلی و حداکثر انرژی سلول خورشیدی از طریق ولتاژ تولید شده توسط نور و تابش با استفاده از تابع معکوس تحلیل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• Output current of solar cell can be predicted by voltage with an invertible function.
• The voltage at the maximum electronic power, Vmp, is linked with invertible function.
• Quantitative bridge for irradiance to Vmp is found.
• Reverse saturation current of solar cell is explained by irradiance.

All simulation techniques of the relationship between output current and output voltage contain an implicit function before this work. Thus, understanding the relationship between current and voltage using an analytically invertible function is a key method of any predicative for designer in photovoltaic system. This paper develops a technique for determining the light generated current–voltage (I–V) characteristic of cell using a valid analytically invertible function. The technique neither involves any initial approximations nor iteration processes. The technique is employed for four experimental results of PV cells, Obtained I–V characteristics for the cells using the present technique are in well agreement with those of reported in the measurements. Meanwhile, the electric power is linked with voltage based on this approach so that the voltage at the maximum electric power point becomes predicative. In addition, the voltage at the maximum electric power point can be forecasted via irradiance. Moreover, the mathematical method of irradiance dependent on the reverse saturation current is found. All results confirm the analytically invertible function as a useful tool at the reliable comprehension on PV devices.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Solar Energy - Volume 113, March 2015, Pages 340–346
نویسندگان
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