Determination of a Suitable Solar Radiation Model for the Sites of Chad

Soulouknga, Marcel Hamda; Falama, Ruben Zieba; Ajayi, Oluseyi O.; Doka, Serge Y.; Kofané, Timoléon Crépin

doi:10.4236/epe.2017.912045

Cited by 10 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Equation ( 5), mean percentage error (MPE) calculates the percentage of the error in the model calculated data, it is used to describe the performance of the error. A ±10% value is allowable [23].…”

Section: Mbe-mean Bias Errormentioning

confidence: 99%

Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico

et al. 2021

View full text Add to dashboard Cite

The estimation of the solar resource on certain surfaces of the planet is a key factor in deciding where to establish solar energy collection systems. This research uses a mathematical model based on easy-access geographic and meteorological information to calculate total solar radiation at ground surface. This information is used to create a GIS analysis of the State of Nuevo León in Mexico and identify solar energy opportunities in the territory. The analyzed area was divided into a grid and the coordinates of each corner are used to feed the mathematical model. The obtained results were validated with statistical analyses and satellite-based estimations from the National Aeronautics and Space Administration (NASA). The applied approach and the results may be replicated to estimate solar radiation in other regions of the planet without requiring readings from on-site meteorological stations and therefore reducing the cost of decision-making regarding where to place the solar energy collection equipment.

show abstract

Section: Mbe-mean Bias Errormentioning

confidence: 99%

Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Root mean square error (RMSE) represents the standard deviation of the calculated errors. The smaller the value, the better the accuracy [8,13]. It can be obtained by…”

Section: Statistical Metricsmentioning

confidence: 99%

“…Mean percentage error (MPE) determines the error performance, where the range ±10% is considered acceptable [13]. It is provided by…”

Section: Statistical Metricsmentioning

confidence: 99%

“…However, this model presented limitations in resolution, which depends on long-term cloud observation records and a constant cloud observation system for higher resolution. Another case is the research conducted in Chad [13] calculating solar radiation of several cities located in different climatic zones in the country. In this study, models based on meteorological and astronomical parameters were used.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Solar Resource Based on Meteorological and Geographical Data: Sonora State in Northwestern Territory of Mexico as Case Study

et al. 2020

View full text Add to dashboard Cite

A model developed at the University of Tomsk, Russia, for high latitudes (over 55° N) is proposed and applied to the analysis and observation of the solar resource in the state of Sonora in the northwest of Mexico. This model utilizes satellite data and geographical coordinates as inputs. The objective of this research work is to provide a low-cost and reliable alternative to field meteorological stations and also to obtain a wide illustration of the distribution of solar power in the state to visualize opportunities for sustainable energy production and reduce its carbon footprint. The model is compared against real-time data from meteorological stations and satellite data, using statistical methods to scrutinize its accuracy at local latitudes (26–32° N), where a satisfactory performance was observed. An annual geographical view of available solar radiation against maximum and minimum temperatures for all the state municipalities is provided to identify the photovoltaic electricity generation potential. The outcomes are proof that the model is economically viable and could be employed by local governments to plan solar harvesting strategies. The results are generated from an open source model that allows calculating the available solar radiation over specific land areas, and the application potential for future planning of solar energy projects is evident.

show abstract

“…When a location is equipped with a pyranometer that has been operational for several years, it may be easier to harness solar energy resources. If no local measurements are available, however, approximation approaches must be used to predict solar radiation characteristics [24]. As a result, the data from the climate reanalysis systems, like ECMWF-ERA5, was used in this investigation because it is excellent at representing solar radiation and atmospheric parameters [25].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Solar Energy Potential and PV-Outputs in Rural and Desert Areas: Case Study Egypt

Khamees

Rahoma

Hassan

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

This study aims to identify the best strategic sites in Egypt available to build the PV systems needed to support required electricity to the country and the desert areas, in addition to deduce the total monthly, annual electricity budget and their generation costs. Egypt has a high solar energy potential which is crucial for sustainable development, as it receives 3450 hours of solar radiation (SR) throughout the year with a high intensity ranged from 8.5KWh/m2/d in southwest part to 2.1 KWh/m2/d at the north coast. The observed SR at four stations (Asyut, Aswan, Kharga, Cairo) were used to assess the accuracy of the ERA5 reanalysis dataset. Moreover, seven strategic sites were chosen across the country including the Western Desert (El-Golf, Habatta, and Sewa), the Eastern Desert (Saffaga, Shiab-Elbanat), and the Sinai Peninsula (El-Agma and El-Arish) to identify the most suitable stations for the construction of PV systems. Three different types of PV cells with different efficiency (η1=19.1%, η2=22.6% and η3=22.4 %) were utilized to compute the energy that could be generated at the lowest cost at the seven selected sites across Egypt. The results showed that the monthly total cost from η1 was 0.011 $/W during June and exceeded 0.015 $/W in December, while the annual total costs are ranged from 0.0119 $/W in El-Golf and 0.01494 $/W in El-Arish. Also, the result for η2 was ranged from 0.01$/W to 0.026 over El-Golf and Shiab-Elbanat, while the last cell η3 was recorded high cost over all sites but gives more energy. Finally, it is concluded that El-Golf, Shiab-Elbanat, and Saffaga are the best three sites with the lowest coast for building a PV system followed by Habatta and El-Agma, while the energy generation costs at both El-Arish and Sewa were the highest.

show abstract

Determination of a Suitable Solar Radiation Model for the Sites of Chad

Cited by 10 publications

References 33 publications

Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico

Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico

Estimation of Solar Resource Based on Meteorological and Geographical Data: Sonora State in Northwestern Territory of Mexico as Case Study

Investigation of Solar Energy Potential and PV-Outputs in Rural and Desert Areas: Case Study Egypt

Contact Info

Product

Resources

About