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


Enrique A. Enríquez-Velásquez

Victor H. Benitez

Sergey G. Obukhov

Luis C. Félix-Herrán

Jorge de-J. Lozoya-Santos
doi: 10.3390/en13246501
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.
- University of Edinburgh United Kingdom
- Universidad de Sonora Mexico
- Tomsk Polytechnic University Russian Federation
- Universidad de Sonora Mexico
- Tomsk Polytechnic University Russian Federation
Technology, solar radiation, T, GIS analysis, solar resource assessment, performance evaluation, photovoltaic potential, mathematical model based on satellite data
Technology, solar radiation, T, GIS analysis, solar resource assessment, performance evaluation, photovoltaic potential, mathematical model based on satellite data
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