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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Article number6501
JournalEnergies
Volume13
Issue number24
DOIs
StatePublished - Feb 2021

Bibliographical note

Publisher Copyright:
© 2020 by the authors.

Keywords

  • GIS analysis
  • Mathematical model based on satellite data
  • Municipal energy planning
  • Performance evaluation
  • Photovoltaic potential
  • Solar radiation
  • Solar resource assessment

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