Evaluating optimum tilt angle for PV modules using solar radiation models in Wuhan, China

Li, Fen; Ma, Nianjun; Zhao, Jinbin; Qu, Keqing; Yang, Xingwu; Chen, Zhenghong

doi:10.1109/icpe.2015.7168126

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…PV energy production and solar radiation are incomparable because of the dimension. Therefore, normalised values of PV energy production and solar radiation are chosen for statistical analysis [22,23].…”

Section: Model Testedmentioning

confidence: 99%

“…To evaluate the accuracy of the calculated inclined radiation for the aforementioned models, various indicators including mean bias error (MBE), root‐mean‐square error (RMSE), correlation coefficient (CORR) and the mean absolute error (MAE) are proposed, with the first three of which have been addressed in the previous study [23].…”

Section: Data Collection and Analysismentioning

confidence: 99%

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Evaluation index system for photovoltaic systems statistical characteristics under hazy weather conditions in central China

Shi

et al. 2017

IET Renewable Power Generation

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This study investigates different methods of determining the optimum tilt angle (OTA) for photovoltaic (PV) systems to maximise energy yield, and provides an evaluation index system for the static and dynamic performance of PV systems under hazy weather conditions, in view of the nature of solar energy resource and PV energy yield. Due to the fact that the data of total solar radiation on inclined surface in Wuhan is not available and PV power generation is non-linear process, an experimental off-grid PV system with various tilt angles and orientations is established which is located in Hubei Meteorological Administration in Wuhan. The experimental system is then used to analyse the accuracy of five in-plane solar radiation models and the relationship between the model predicted errors and meteorological environmental factors, explore the calculated and measured OTA of PV modules and evaluate the performance of PV system with different tilt angles and orientations based on static and dynamic indexes in real atmosphere condition. Finally, the influence of dust on PV energy production has been reported. After cleaning, the energy yield of PV models can increase by 10-20%.

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Section: Model Testedmentioning

confidence: 99%

Section: Data Collection and Analysismentioning

confidence: 99%

Evaluation index system for photovoltaic systems statistical characteristics under hazy weather conditions in central China

Shi

et al. 2017

IET Renewable Power Generation

Self Cite

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“…Ecuador has great solar energy potential [1] [2], which is why the need arises to obtain the greatest amount of irradiance on an inclined surface, for this purpose, it is necessary to determine the optimal inclination and orientation of the photovoltaic panel. To obtain the inclination parameters as orientation, it is necessary to consider a solar model, for the document the Liu & Jordan solar model is presented, from which values very close to real ones are obtained.…”

Section: Introductionmentioning

confidence: 99%

Determination of the optimum power point in photovoltaic panels using the Liu &Jordan model considering fuzzy variables

Tipan¹,

Fiallos²,

Jaramillo³

2022

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This document focuses on solar energy generation, specifically on the optimum point of power delivered by the photovoltaic panel. To reach the end of the study, it is necessary to develop a mathematical model, which must be followed sequentially; it is based initially on the solar model of Liu & Jordan, which allows a study of the amount of incident irradiance on an inclined surface. Followed by dirt as a diffuse variable, how it affects the panel. In addition, climatic variables such as temperature and humidity are considered, variables necessary to obtain the optimum power point. The proposed mathematical model aims to determine the inclination and orientation of the highest solar radiation capture on an inclined surface. Additionally, how to minimize losses due to dirt and climatic variables as they affect their impact on the efficiency of the panel. Finally, based on the aforementioned parameters, results are shown under three considerations: for the data obtained by the UPS meters, inclination and orientation obtained with a compass and inclinometer, the result calculated under the current conditions of the site and finally the calculation under optimum conditions, this determines the optimum power point.

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Solar irradiance estimation models and optimum tilt angle approaches: A comparative study

Danandeh

2018

Renewable and Sustainable Energy Reviews

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Evaluating optimum tilt angle for PV modules using solar radiation models in Wuhan, China

Cited by 6 publications

References 12 publications

Evaluation index system for photovoltaic systems statistical characteristics under hazy weather conditions in central China

Evaluation index system for photovoltaic systems statistical characteristics under hazy weather conditions in central China

Determination of the optimum power point in photovoltaic panels using the Liu &Jordan model considering fuzzy variables

Solar irradiance estimation models and optimum tilt angle approaches: A comparative study

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