Seasonal Variability of the Solar Energy Potential of the City of Abidjan: Experimental Comparative Study of Two Sunshine Measurement Techniques

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Adingra Paul Arsène Kouassi ◽  
Siaka Touré ◽  
Diakaridja Traoré

Abstract Most countries have a national weather station. In Côte d’Ivoire, it is the Aeronautical and Meteorological Exploitation Company (SODEXAM) which is in charge of it through its databank. The inaccessibility of these data leads many solar energy entrepreneurs to move toward free sites that are often out of phase with the meteorological realities of the area considered. We propose in this paper, a comparative study of two sunshine measurement techniques, namely, the technique of the heliograph and that of the thermoelectric pyranometer, to discuss the reliability of the data provided by these techniques, but also to analyze the seasonal variations of the insolation of Abidjan from 1978 to 2017. The comparison of the results produced by these two approaches showed a discrepancy of up to 43%, with much higher values for the national station. The analysis of the solar field of this city over a period of 19 years has shown a great variability of the solar energy potential which starts from a decrease in energy, from 4447 Wh/m2 (1978–1988) to 3303 Wh/m2 (2003–2009), to achieve an energy increase up to 4782 Wh/m2 (2016–2017). The solar year has been characterized in three solar seasons depending on the mensuel solar irradiation.

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 181
Author(s):  
Imriani Moroki ◽  
Alfrets Septy Wauran

Energi terbarukan adalah salah satu masalah energi paling terkenal saat ini. Ada beberapa sumber potensial energi terbarukan. Salah satu energi terbarukan yang umum dan sederhana adalah energi matahari. Masalah besar ketersediaan energi saat ini adalah terbatasnya sumber energi konvensional seperti bahan bakar. Ini semua sumber energi memiliki banyak masalah karena memiliki jumlah energi yang terbatas. Penting untuk membuat model dan analisis berdasarkan ketersediaan sumber energi. Energi matahari adalah energi terbarukan yang paling disukai di negara-negara khatulistiwa saat ini. Tergantung pada produksi energi surya di daerah tertentu untuk memiliki desain dan analisis energi matahari yang baik. Untuk memiliki analisis yang baik tentang itu, dalam makalah ini kami membuat model prediksi energi surya berdasarkan data iradiasi matahari. Kami membuat model energi surya dan angin dengan menggunakan Metode Autoregresif Integrated Moving Average (ARIMA). Model ini diimplementasikan oleh R Studio yang kuat dari statistik. Sebagai hasil akhir, kami mendapatkan model statistik solar yang dibandingkan dengan data aktualRenewable energy is one of the most fomous issues of energy today. There are some renewable energy potential sources. One of the common n simple renewable energy is solar energy. The big problem of the availability of energy today is the limeted sources of conventional enery like fuel. This all energy sources have a lot of problem because it has a limited number of energy. It is important to make a model and analysis based on the availability of the energy sources. Solar energy is the most prefered renewable energy in equator countries today. It depends on the production of solar energy in certain area to have a good design and analysis of  the solar energy. To have a good analysis of it, in this paper we make a prediction model of solar energy based on the data of solar irradiation. We make the solar and wind enery model by using Autoregresif Integrated Moving Average (ARIMA) Method. This model is implemented by R Studio that is a powerfull of statistical. As the final result, we got the statistical model of solar comparing with the actual data


2017 ◽  
Vol 2017 ◽  
pp. 1-19 ◽  
Author(s):  
O. Nait Mensour ◽  
S. Bouaddi ◽  
B. Abnay ◽  
B. Hlimi ◽  
A. Ihlal

Solar radiation data play an important role in solar energy research. However, in regions where the meteorological stations providing these data are unavailable, strong mapping and estimation models are needed. For this reason, we have developed a model based on artificial neural network (ANN) with a multilayer perceptron (MLP) technique to estimate the monthly average global solar irradiation of the Souss-Massa area (located in the southwest of Morocco). In this study, we have used a large database provided by NASA geosatellite database during the period from 1996 to 2005. After testing several models, we concluded that the best model has 25 nodes in the hidden layer and results in a minimum root mean square error (RMSE) equal to 0.234. Furthermore, almost a perfect correlation coefficient R=0.988 was found between measured and estimated values. This developed model was used to map the monthly solar energy potential of the Souss-Massa area during a year as estimated by the ANN and designed with the Kriging interpolation technique. By comparing the annual average solar irradiation between three selected sites in Souss-Massa, as estimated by our model, and six European locations where large solar PV plants are deployed, it is apparent that the Souss-Massa area is blessed with higher solar potential.


Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3554 ◽  
Author(s):  
Gabriele Lobaccaro ◽  
Malgorzata Maria Lisowska ◽  
Erika Saretta ◽  
Pierluigi Bonomo ◽  
Francesco Frontini

Rapid and uncontrolled urbanization is continuously increasing buildings’ energy consumption and greenhouse gas emissions into the atmosphere. In this scenario, solar energy integrated into the built environment can play an important role in optimizing the use of renewable energy sources on urban surfaces. Preliminary solar analyses to map the solar accessibility and solar potential of building surfaces (roofs and façades) should become a common practice among urban planners, architects, and public authorities. This paper presents an approach to support urban actors to assess solar energy potential at the neighborhood scale and to address the use of solar energy by considering overshadowing effects and solar inter-building reflections in accordance with urban morphology and building characteristics. The approach starts with urban analysis and solar irradiation analysis to elaborate solar mapping of façades and roofs. Data processing allows assessment of the solar potential of the whole case study neighborhood of Sluppen in Trondheim (Norway) by localizing the most radiated parts of buildings’ surfaces. Reduction factors defined by a new method are used to estimate the final solar potential considering shadowing caused by the presence of buildings’ architectural elements (e.g., glazed surfaces, balconies, external staircases, projections) and self-shading. Finally, rough estimation of solar energy generation is assessed by providing preliminary recommendations for solar photovoltaic (PV) systems suited to local conditions. Results show that depending on urban morphology and buildings’ shapes, PV systems can cover more than 40% of the total buildings’ energy needs in Trondheim.


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6441
Author(s):  
Guillermo Quiroga-Ocaña ◽  
Julio C. Montaño-Moreno ◽  
Enrique A. Enríquez-Velásquez ◽  
Victor H. Benitez ◽  
Luis C. Félix-Herrán ◽  
...  

This paper proposes the computation and assessment of optimal tilt and azimuth angles for a receiving surface, using a mathematical model developed at the University of Tomsk, Russia. The model was validated and analyzed for the Nuevo León State, Northeast Mexico, utilizing a set of metrics, comparing against satellite data from NASA. A point of interest in the city of Monterrey was analyzed to identify orientation patterns throughout the year for an optimal solar energy gathering. The aim is providing the best orientation tilt angles for photovoltaic or solar thermal panels without tracking systems. In addition, this analysis is proposed as a tool to achieve optimal performance in sustainable urban development in the region. Based on the findings, a set of optimal tilt and azimuth surface angles are proposed for the analyzed coordinates. The aim is to identify the optimal performance to obtain the maximum solar irradiation possible over the year for solar projects in the region. The results show that the model can be used as a tool to accelerate decision making in the design of solar harvesting surfaces and allows the design of discrete tracking systems with an increase in solar energy harvesting above 5% annually.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
C. K. Pandey ◽  
A. K. Katiyar

In order to grasp the significance of the work accomplished by the author, it is necessary to keep abreast of the present developments in this field. The research work reported in the paper is an attempt to get knowledge to assess the solar energy potential for practical and efficient utilization in India. Our work is centered on estimating realistic values of solar (global and diffuse) radiation on horizontal and tilted surfaces using measured meteorological data and geographical and geometrical parameters for India.


2021 ◽  
Vol 16 (8) ◽  
pp. 1501-1508
Author(s):  
Younes Kherbiche ◽  
Nabila Ihaddadene ◽  
Razika Ihaddadene ◽  
Feres Hadji ◽  
Jed Mohamed ◽  
...  

Solar energy is the most important green energy source that may be used to address the problems caused by conventional energy sources. The research in this paper aims to evaluate the solar energy potential of M'Sila, an Algerian internal region, and to determine which technology, among those currently available on the market, is adequate for harnessing that potential for electricity production (PV and CSP). This assessment was based on data (daily temperature and daily solar irradiation) collected at M'Sila weather station for one year and from the NASA site for 34 years from 1984 to 2017. These data were treated with excel 2016 software to determine the total horizontal, diffuse and direct normal solar irradiation. During the study period, the total solar irradiation falling on a horizontal surface in M'Sila (GHI) was estimated to be 1.79 MWh/m2/year. The diffuse solar irradiation incident on a horizontal surface (DHI) and direct normal irradiation, respectively, were estimated to be 594.88 kWh/m2/year, 2117.93 kWh/m2/year. M'Sila is a favourable land for the installation of concentrating solar power plants and photovoltaic panels due to its significant potential energy. The parabolic trough system is recommended. While polycrystalline PV modules should be promoted and installed in M'Sila.


Author(s):  
Berin Djikic ◽  
Halima Hadziahmetovic ◽  
Hamza Cerimovic ◽  
Ismira Ahmovic ◽  
Rejhana Blazevic

2019 ◽  
Vol 11 (19) ◽  
pp. 5233 ◽  
Author(s):  
Leocadio Hontoria ◽  
Catalina Rus-Casas ◽  
Juan Aguilar ◽  
Jesús Hernandez

Solar irradiation that is received on a terrestrial surface at minor scale of an hour does not have many records, since the current solar irradiation databases generally only have data recorded on a daily (most) and hourly (some less) scale. For places where there are no records of solar irradiation, there are a lot of methods that are used to synthetically or artificially generate these data, and again they are usually methods that generate data on a daily or hourly scale. Currently, for all types of applications, especially in the field of photovoltaic solar energy, irradiation data are needed at minor scale of an hour. In this case, there are very few methods to generate such data. For this purpose, a new methodology to generate series of solar irradiation at temporal high-resolution. In this paper, it is presented on a 10-min basis. A comparative study with real data has been done and the conclusion, as it will be explained is that the proposed methodology provides very good results.


Author(s):  
Avner de Shalit

Immigration should be discussed within the context of the city rather than the state because cities are now quite autonomous political entities and because nearly all immigrants settle in cities. Hence the meeting between locals and immigrants take place in the context of urban life rather than as citizens of the state. The book’s three questions are presented: should cities be in charge of deciding whether to allow immigrants to settle in the city? If yes, what local political rights should be granted to immigrants? And is there a model of integration which is superior to other models? The latter involved a comparative study of three such models, in Amsterdam, Berlin, and Jerusalem.


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