A note on diffuse solar radiation on a tilted surface

Pandey, Chanchal Kumar; Katiyar, A. K.

doi:10.1016/j.energy.2009.07.006

Cited by 61 publications

(25 citation statements)

References 7 publications

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“…(7). More accurate ways to determine the diffuse component of solar irradiance on tilted surfaces are available [2,3,9,13,18,33,34]; however, the isotropic model is simple and displays intermediary performance compared to other models [35]. (W/m 2 ), available on a fixed-collector surface (Fig.…”

Section: Tablementioning

confidence: 99%

Optimum tilt and azimuth angles for fixed solar collectors in South Africa using measured data

Roux

2016

Renewable Energy

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The solar resource in South Africa is among the best in the world. South Africa has seen an increase in local and international investment in solar power. The optimum angles at which a solar collector should be mounted are often debated. Similar publications on this topic often rely on mathematical models of solar resource rather than measured data. Measured data is preferred since the effects of pollution and weather are included. In this work, recently measured data from nine measuring stations in the Southern African Universities Radiometric Network (SAURAN) equipped with pyranometers and pyrheliometers are considered. The data is used to calculate the annual solar insolation on fixed collectors at all possible installation angles. SolTrace, a ray-tracing software, is used for validation. Relative to a horizontally-fixed collector, the annual solar insolation is 10% more for optimally-fixed collectors and 45% more for solar-tracking collectors. The effects of tilt and azimuth angles are presented on contour plots, which are convenient for cost analysis and the determination of the annual insolation on building surfaces. The optimum azimuth angle is a function of the longitude angle minus the absolute latitude angle, which suggests that frontal and convective precipitation effects influence the optimum azimuth angle.

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Section: Tablementioning

confidence: 99%

Optimum tilt and azimuth angles for fixed solar collectors in South Africa using measured data

Roux

2016

Renewable Energy

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“…LMD, a new processing method for non-stationary signals, also exhibits obvious deficiencies compared with EMD. For example, the signal will be lagging behind or ahead of time when smoothing is performed for a long time, smoothing step cannot be optimally determined in the smoothing process, and no fast algorithm is available [38]. The signal in LMD smoothing easily advances or lags and EMD yields serious end effect; hence, we integrated both decomposition algorithms to deal with the original radiation series to improve the prediction accuracy.…”

Section: The Forecasting Results For Ghi Series Using the Emd-lssvm-vmentioning

confidence: 99%

“…This parameter provides information on short-term performance of a model. RMSE is always positive, except for 'zero' in the ideal case [38]. Small values of RMSE indicate accurate model performance.…”

Section: Root Mean Square Errormentioning

confidence: 96%

Hourly Solar Radiation Forecasting Using a Volterra-Least Squares Support Vector Machine Model Combined with Signal Decomposition

et al. 2018

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Accurate solar forecasting facilitates the integration of solar generation into the grid by reducing the integration and operational costs associated with solar intermittencies. A novel solar radiation forecasting method was proposed in this paper, which uses two kinds of adaptive single decomposition algorithm, namely, empirical mode decomposition (EMD) and local mean decomposition (LMD), to decompose the strong non-stationary solar radiation sequence into a set of simpler components. The least squares support vector machine (LSSVM) and the Volterra model were employed to build forecasting sub-models for high-frequency components and low-frequency components, respectively, and the sub-forecasting results of each component were superimposed to obtain the final forecast results. The historical solar radiation data collected on Golden (CO, USA), in 2014 were used to evaluate the accuracy of the proposed model and its comparison with that of the ARIMA, the persistent model. The comparison demonstrated that the superior performance of the proposed hybrid method.

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“…Lastly, at December Solstice (winter), the tilt angle for maximum output power is 40º and 50º with the sun elevation of 36º from horizontal. According to the result above, it shows that the tilt angle of 50º can be consider as good angle for PV output [8][9][10].…”

Section: If the Pv Cell Is Left Open (I = 0) The Open Circuit Voltagementioning

confidence: 99%

Measuring PV Module Performance at Different Tilt Angles in Southern Iraq Based Simulation

Hussain¹

2018

IJET

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This paper presented that how to calculate the tilt angles and solar irradiance on photovoltaic (PV) module in southern Iraq (latitude 30° N). The latitude and day number of the city is taken into account to calculate the tilt angle and solar irradiance by using a mathematical equation. The optimum tilt angles of PV module in southern Iraq are range from 38° to 84°. The yearly maximum total and average solar irradiance is needed to determine the optimum tilt angle of PV module. The result shows that 50° of tilt angle is the best performance of PV module in southern Iraq.

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A note on diffuse solar radiation on a tilted surface

Cited by 61 publications

References 7 publications

Optimum tilt and azimuth angles for fixed solar collectors in South Africa using measured data

Optimum tilt and azimuth angles for fixed solar collectors in South Africa using measured data

Hourly Solar Radiation Forecasting Using a Volterra-Least Squares Support Vector Machine Model Combined with Signal Decomposition

Measuring PV Module Performance at Different Tilt Angles in Southern Iraq Based Simulation

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