Optimum tilt angle for flat plate collectors all over the World – A declination dependence formula and comparisons of three solar radiation models

Stanciu, Camelia; Stanciu, Dorin

doi:10.1016/j.enconman.2014.02.016

Cited by 181 publications

(97 citation statements)

References 35 publications

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“…When sunrays fall perpendicularly on the vertical level it is 0° while it is 90° on the rising and setting moments of the sun (Stanciu and Stanciu 2014).…”

Section: Zenith-azimuth Formulas For Sun Trackingmentioning

confidence: 99%

“…On 21st December and 21st June, there are almost 23° deviations in the rising and setting angles of the sun when compared to those on 23rd September and 21st December. The Cooper equation can be utilized to determine the solar declination angle (°) for any day in a year (N) (Cooper 1969;Stanciu and Stanciu 2014).…”

Section: Zenith-azimuth Formulas For Sun Trackingmentioning

confidence: 99%

See 1 more Smart Citation

Solar Tracking System based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Toylan¹,

Hüner²

2017

AKU-J. Sci. Eng.

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ÖzetFotovoltaik panellerin güç toplama verimliliğini artırmak için genellikle güneş takip sistemleri (GTS) ile entegre edilmelidir. Bu çalışmada, uyarlamalı sinirsel bulanık çıkarım uygulaması ile GTS sunulmuştur. GTS, zenit ve azimut açılarını kontrol eden iki motora sahip çift eksenli olarak tasarlanmıştır. Bu motorların hızının kontrol edilmesi için ANFIS'in tasarlanmasından sonra bulanık mantık kontrolörünün giriş-çıkış ilişkisini öğrenmek için yapay sinir ağı eğitilmiştir. Pozisyon hatası ve hatanın değişimi modellerin girişi olarak alınmıştır. Motora uygulanan gerilim modellerin çıkışı olarak alınmıştır. ANFIS modelde, deneysel verilerden doğrudan üretilen kurallar kümesine sahip yapay sinir ağının öğrenme yeteneği ile bulanık çıkarım modeli birleştirilir. Sonuç olarak, elde edilen sonuçlar GTS için amaçlanan kontrol yaklaşımının doğru cevap ve takip etme etkinliğini doğrular. Solar Tracking System based on Adaptive Neuro-Fuzzy Inference System (ANFIS)Keywords "Solar Energy"; "ANFIS"; "Photovoltaic"; "Solar Tracking"; "Fuzzy Logic " AbstractSolar tracking systems (STS) should usually be integrated with photovoltaic (PV) panel so that the photovoltaic panels can increase power collection efficiency. In this paper, STS with implementation of adaptive neuro-fuzzy inference system (ANFIS) is presented. STS designed as dual axis has two motors that control azimuth angle and zenith angle. After designing an ANFIS for controlling these motors' speed, a Neural Network is trained to learn the input-output relationship of fuzzy logic controller. Position error and error variation were taken as model's inputs. Applied voltage to the motor was taken as model's output. The ANFIS model is combined modeling function of fuzzy inference with the learning ability of artificial neural network that has set of rules generated directly from the experimental data. Finally, the obtained results confirm the tracking efficiency and correct response of the proposed control approach for STS.

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“…When sunrays fall perpendicularly on the vertical level it is 0° while it is 90° on the rising and setting moments of the sun (Stanciu and Stanciu 2014).…”

Section: Zenith-azimuth Formulas For Sun Trackingmentioning

confidence: 99%

Section: Zenith-azimuth Formulas For Sun Trackingmentioning

confidence: 99%

Solar Tracking System based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Toylan¹,

Hüner²

2017

AKU-J. Sci. Eng.

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“…These functions are provided in Eqs. [16][17][18][19] where Vm is the measured value when Vc is the calculated value, EK is the relative error and N=24. These error indices are defined as: (19) IV RESULTS AND DISCUSSIONS In this article, we have evaluated the performance of different models for the estimation of global solar radiation on inclined surface.…”

Section: Quality Criterionmentioning

confidence: 99%

“…Angstrom [7] proposed first, a theoretical model for estimating global solar radiation based on sunshine duration. However, models of estimation based on the co-relationship of available parameters such as atmospheric temperature, relative humidity, extra terrestrial radiation have been developed recently [8][9][10][11][12][13][14][15][16]. The main objective of this work is to compare five models namely: Liu & Jordan, Hay, Baltas, Klucher and Perez, which deal with some radiometric parameters and other geographic coordinates such as latitude, longitude and altitude of the site under study, for estimating the daily global solar radiation on an inclined surface.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Global Solar Radiation Models for Inclined Surfaces

Mesri¹,

Choucha²,

Chaib³

2015

Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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Abstract-Predicting the efficiency of solar photovoltaic and solar thermal systems needs global solar radiation data and its estimation models. Furthermore, daily global solar radiation models are required for engineering design and planning projects. In this paper, five daily global solar radiation models for tilted surfaces are compared and analyzed. They are namely: Jordan, Hay, Baltas, Perez and Klucher models. In order to assess the applicability and accuracy of the models proposed in this study, the radiometric and geographical data are used. Comparative analyses are established according to 50 years meteorological data. They are supplied by the National Office of Meteorology -NOM-, (Dar El Beida, Algeria, 3.21° E, 36.68°N) and the Unit for Applied Research in Renewable Energy -UARRE-(Ghardaïa, Algeria, 3.80 °E, 32.4°N). This latest selected station is quite interesting as it is situated a hundred kilometers far from the famous hybrid (solar, gas) station of Hassi R'Mel). Moreover, it provides reliable data. Finally, we find it necessary to mention that the obtained results show that the selected models have been able to estimate global solar radiation accurately so that complex equation types could not obviously improve the precision. The adequacy of a model is established on the basis of various usual errors such as the root mean square error (RMSE), the mean bias error (MBE) and the mean percentage error (MPE). Results are with attractive margins of error and in accordance with experimental measurements. These models take into account the type of contributions to diffuse radiation, that is to say, the isotropic and anisotropic sky.

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“…Tilt angle and azimuth angle of the inclined surface are controllable factors that can affect the solar irradiance on an inclined surface. At present, for various regions and time periods, many studies have been carried out on the best tilt angle of inclined surface [6][7][8][9] to achieve the greatest solar irradiance.…”

Section: Introductionmentioning

confidence: 99%

Comparison and Analysis of Calculation Models of Solar Irradiance on Inclined Surface Based on Numerical Simulation Method

Luo¹,

Sun²,

Xu³

et al. 2017

Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

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Abstract-The present paper summarized the results of the most commonly adopted calculation models for total solar irradiance on inclined surface. The solar irradiance on inclined surface in Beijing was taken as an example and was simulated using Liu and Jordan, Klucher, Hay, and Perez sky models and the results were analyzed in a variety of circumstances. The modified Klucher model was improved with the introduction of the correction for tilt angle β=0° and the suitability of all the five calculation models was analyzed.

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Optimum tilt angle for flat plate collectors all over the World – A declination dependence formula and comparisons of three solar radiation models

Cited by 181 publications

References 35 publications

Solar Tracking System based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Solar Tracking System based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Evaluation of Global Solar Radiation Models for Inclined Surfaces

Comparison and Analysis of Calculation Models of Solar Irradiance on Inclined Surface Based on Numerical Simulation Method

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