Evaluation and development of empirical models for estimating daily solar radiation

Jahani, Babak; Dinpashoh, Yagob; Nafchi, Atefeh Raisi

doi:10.1016/j.rser.2017.01.124

Cited by 98 publications

(32 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Besides, data gaps and instrumental errors (outliers) between 1992 and 1997 make the 1992–1997 R S measurements of these stations unreliable. In this study, in order to investigate the relationships between the changes in CC and R S in Iran, the hourly records of R S (W m −2 ) and CC (octa) for the 23 radiation network stations of Iran were obtained from IRIMO (Jahani et al, ). Despite the fact that CC has been recorded at all of these stations since 1961, these hourly records were uniformly available only after around 1980.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, the daily values of R S were checked for potential outliers by estimating the clearness index ( K r ) as the ratio of R S to extraterrestrial solar radiation. Then the data with respect to the days with an amount of K r less than 0.03 or more than 1 were removed (Allen et al, ; Tang et al, ; Jahani et al, ). In addition, the metadata of the stations was checked, in order to analyse whether coordinates and elevation of the stations have changed over the study period or not.…”

Section: Methodsmentioning

confidence: 99%

“…Solar radiation that reaches the Earth surface (R s ) (also known as global solar radiation) plays a key role in various natural processes such as the hydrological cycle (Wild et al, 2005;Xia et al, 2006;Wild, 2009;Dagon and Schrag, 2016;Manara et al, 2016;Jahani et al, 2017). For example, R s provides the energy for photosynthesis, evaporation, evapotranspiration, cloud formation, snow melt, etc.…”

Section: Introductionmentioning

confidence: 99%

“…(Kun et al, 2006;Wild et al, 2015a;Dagon and Schrag, 2016;Huber et al, 2016). Therefore, it is considered as one of the most important inputs of hydrological, irrigation scheduling and crop growth models (Aladenola and Madramootoo, 2014;Jahani et al, 2016;Jahani et al, 2017;Quej et al, 2017;Wang et al, 2017). Furthermore, R s is also a renewable clean source of energy, which has received increasing attention recently, because it can be exploited without bearing any harm to nature and is also an alternative for fossil fuels (Viorel, 2008;Zekai, 2008;Demirhan and Atilgan, 2015;Wild et al, 2015a;Wild et al, 2015b;El Mghouchi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dimming in Iran since the 2000s and the potential underlying causes

Jahani

Dinpashoh

Wild

2017

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dimming in Iran since the 2000s and the potential underlying causes

Jahani

Dinpashoh

Wild

2017

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

show abstract

“…they can provide data at any discrete time step, when the appropriate model is employed. For instance, data acquired during an hour can make a significant difference in the design, evaluation and improvement of solar energy systems [Yang et al (2012); Jahani et al (2017); Aoun and Bouchouicha (2017)].…”

Section: Introductionmentioning

confidence: 99%

An Empiric-Stochastic Approach, Based on Normalization Parameters, to Simulate Solar Irradiance

Osorio

Becerra

Roca

et al. 2019

Journal of Solar Energy Engineering

View full text Add to dashboard Cite

The data acquisition of solar radiation in a locality is essential for the development of efficient designs of systems, whose operation is based on solar energy. This paper presents a methodology to estimate solar irradiance using an empiric-stochastic approach, which consists on the computation of normalization parameters from solar irradiance data.For this study, solar irradiance data was collected with a weather station during a year. Post-treatment included a trimmed moving average, to smooth the data, the performance a fitting procedure using a simple model, to recover normalization parameters, and the estimation of a probability density map by means of a kernel desnsity estimation method. The normalization parameters and the probability density map allowed us to build an empiricstochastic methodology that generates an estimate of the solar irradiance.In order to validate our method, simulated solar irradiance has been used to compute the theoretical generation of solar power, which in turn has been compared to experimental data, retreived from a commercial photovoltaic system. Since the simulation results show a good agreement has been with the experimental data, this simple methodology can estimate the solar power production and may help consumers to design and test a photovoltaic system before installation.

show abstract

On the calibration and applicability of global solar radiation models based on temperature extremities in India

Jamil

Irshad

Algahtani

et al. 2019

Env Prog and Sustain Energy

View full text Add to dashboard Cite

In the present work, global solar radiation models based on the difference of monthly‐average daily ambient temperature extremes are calibrated for country‐wide application in India. Solar radiation measurements obtained from the Indian Meteorological Department for 22 locations of India for a duration of 15 years (1986–2000) were used. Solar radiation models based on temperature extremes were reviewed and 33 forms were considered for analysis. The models were derived using all the collected data by fitting a model form and extracting the coefficients with the help of DataFit® software. The calibrated models were analyzed and compared using statistical tools and ranked using Global Performance Indicator (GPI) where a higher value represented a model's better performance. Then, the models were arranged using GPI and it was found that model form 33 (fourth order polynomial) resulted in best estimation capability with a GPI of 0.0763. Further, Model 23, Model 28, Model 24, and Model 26 were also among the top models with GPI values of 0.0655, 0.0587, 0.0478, and 0.0426, respectively. Best ranking models were also used to obtain estimates for representative sites in regions with different climate characteristics within India and it was found that the models performed reasonably well.

show abstract

Evaluation and development of empirical models for estimating daily solar radiation

Cited by 98 publications

References 57 publications

Dimming in Iran since the 2000s and the potential underlying causes

Dimming in Iran since the 2000s and the potential underlying causes

An Empiric-Stochastic Approach, Based on Normalization Parameters, to Simulate Solar Irradiance

On the calibration and applicability of global solar radiation models based on temperature extremities in India

Contact Info

Product

Resources

About