Estimation of solar irradiation and optimum tilt angles for south-facing surfaces in the United Arab Emirates: a case study using PVGIS and PVWatts

Abdallah, Ramez; Juaidi, Adel; Salameh, Tareq; Jeguirim, Mejdi; Çamur, Hüseyin; Kassem, Youssef; Abdala, Samer

doi:10.1016/b978-0-12-823532-4.00004-5

Cited by 7 publications

(5 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Karinka and Upadhyaya 10 introduced a method to compute the OPT and they conclude that 12.0% of energy reduction if the tilt angle is not varied each month, which contradicts with the outcomes of this paper. Abdallah et al 11 made a comparison between SR of Horizontal Surface (HS) with that of the tilted surface which is varied each month with different 15%, which is less than the SR of this paper which is 24%. Xu et al 12 suggested a technique to compute the OTA on hilly places.…”

Section: Introductionmentioning

confidence: 70%

Estimation of optimal tilt angles for photovoltaic panels in Egypt with experimental verifications

Abdelaal

El‐Fergany

2023

Sci Rep

View full text Add to dashboard Cite

The principal target of this work is to compute the optimal tilt angle (OTA) for Photovoltaic (PV) panels. To perform this task, comprehensive simulations are done starting from altering the tilt angle (TA) daily, to use one fixed TA for all the year. The mathematical models for extra-terrestrial radiation (ETR) of both horizontal and inclined surfaces are presented firstly. At a later stage, the optimization formulation for the maximizing the solar radiation (SR) is adapted, and then the daily, monthly, seasonally, half-yearly and optimal fixed TAs are obtained. Although, the daily OTA produces the maximum SR, it is costly and impractical. It is found that altering the TA twice a year at optimal values that are computed as 5° and 50° for Suez city, gives the best results that are very near to the daily altering of the OTA. The difference between the two methods is 1.56% which is very small. Also, the two OTAs has SR better than that of the fixed OTA which is 28° by 7.77%. Also, it is found that the yearly fixed OTA (28°) is nearly equal to the latitude angle of Suez city which is 30°. The two OTAs method of this paper is different from the commonly used method that suggests two TAs. The first TA is used for winter months which is obtained by adding 15° to the latitude angle while the second TA is obtained by subtracting 15° from the latitude angle for the summer months. This commonly used method produces lesser SR than the two OTAs method of this paper. The theoretical work has been proved by an experimental work on two PV systems constructed at 25° and 30° TAs. The results of the experimental work agree with the theoretical results.

show abstract

Section: Introductionmentioning

confidence: 70%

Estimation of optimal tilt angles for photovoltaic panels in Egypt with experimental verifications

Abdelaal

El‐Fergany

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…In [10] a method was introduced to compute the OPT and they conclude that 12.0% of energy reduction if the tilt angle is not varied each month, which contradicts with the outcomes of this paper. In [11] a comparison between SR of Horizontal Surface (HS) with that of the tilted surface which is varied each month with different 15%, which is less than the SR of this paper which is 24%. Reference [12] suggests a technique to compute the OTA on hilly places.…”

Section: Introductionmentioning

confidence: 72%

Estimation of optimal tilt angles for photovoltaic panels in Egypt with experimental verifications

Abdelaal

El‐Fergany

2022

Preprint

View full text Add to dashboard Cite

The principal target of this work is to compute the optimal tilt angle (OTA) for Photovoltaic (PV) panels. To perform this task, comprehensive simulations are done starting from altering the tilt angle (TA) daily, to use one fixed TA for all the year. The mathematical models for extra-terrestrial radiation (ETR) of both horizontal and inclined surfaces are presented firstly. At a later stage, the optimization formulation for the maximizing the solar radiation (SR) is adapted, and then the daily, monthly, seasonally, half-yearly and optimal fixed TAs are obtained. Although, the daily OTA produces the maximum SR, it is costly and impractical. It is found that altering the TA twice a year at optimal values that are computed as 5o and 50o for Suez city, gives the best results that are very near to the daily altering of the OTA. The difference between the two methods is 1.56% which is very small. Also, the two OTAs has SR better than that of the fixed OTA which is 28o by 7.77%. Also, it is found that the yearly fixed OTA (28o) is nearly equal to the latitude angle of Suez city which is 30o. The two OTAs method of this paper is different from the commonly used method that suggests two TAs. The first TA is used for winter months which is obtained by adding 15o to the latitude angle while the second TA is obtained by subtracting 15o from the latitude angle for the summer months. This commonly used method produces lesser SR than the two OTAs method of this paper. The theoretical work has been proved by an experimental work on two PV systems constructed at 25o and 30o TAs. The results of the experimental work agree with the theoretical results.

show abstract

“…The American Society of Heating, Refrigeration, and Air Conditioning Engineers model in [18] is adopted in this study to obtain IAM. The other losses are jointly considered by the PVWatts model developed by National Renewable Energy Laboratory [19]. For instance, soiling is regarded as 2%, and shading is regarded as 3%.…”

Section: Losses Modelmentioning

confidence: 99%

Conversion of Solar Irradiance to Photovoltaic Power with Hybrid Model Chains

Xia,

Gao,

Wang

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Accurate solar resourcing and forecasting depend upon the ability to convert weather forecasts to photovoltaic (PV) power forecasts, which remains challenging till this day. This study explores the fusion of physical model chains and machine learning, to achieve improved irradiance-to-power conversion. The outcomes of some well-tested steps of a model chain are used as input features of machine learning models, so as to form a hybrid model with high precision and wide applicability. Within this framework, a comparative analysis is conducted among three potential machine-learning models, including the long short-term memory (LSTM) network, k-nearest neighbors, and gradient boosting regressor. The results indicate that the physical-LSTM hybrid model exhibits superior performance to other options, reaching a correlation coefficient of 0.997. In cases where specific modeling parameters are unavailable, the hybrid model can mitigate the reliance on PV design parameters while gaining a notable increase in irradiance-to-power conversion accuracy, thereby substantiating a robust underpinning for PV grid connection.

show abstract

Estimation of solar irradiation and optimum tilt angles for south-facing surfaces in the United Arab Emirates: a case study using PVGIS and PVWatts

Cited by 7 publications

References 51 publications

Estimation of optimal tilt angles for photovoltaic panels in Egypt with experimental verifications

Estimation of optimal tilt angles for photovoltaic panels in Egypt with experimental verifications

Estimation of optimal tilt angles for photovoltaic panels in Egypt with experimental verifications

Conversion of Solar Irradiance to Photovoltaic Power with Hybrid Model Chains

Contact Info

Product

Resources

About