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Assessment of Wind Energy Potential in Anguía, Chota, Cajamarca: A Proposal for Rural Energy Development

  • Juan Deini Carrasco-Díaz(corresponding author)
    ,
  • ,
  • Edgar Erick Benavente-Chero
    ,
  • Juan Jacobo Carrasco-Vega
*Corresponding author for this work
  • Universidad Tecnológica del Perú
    ,
  • Universidad Peruana de Ciencias Aplicadas
    ,
  • Universidad San Ignacio de Loyola
    ,
  • Instituto de Educación Superior Pedagógico Público Santa Cruz
Research Output:
Contribution to journal
Article
Research
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Research
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1183-1189 (7 pages)

Journal (Volume, Issue Number)

International Journal of Sustainable Development and Planning (Volume 21, Issue 3)

Publication milestones

  • Published - 01/2026

Publication status

Published - 01/2026

ISSN

1743-7601

Publication IDs

  • Scopus: 105040362307

Abstract

In the face of the current challenges posed by climate change, there is a growing need to propose technical solutions that allow for the diversification of the energy matrix and the reduction of vulnerability among the most disadvantaged populations. This research focused on estimating the wind energy potential in the district of Anguía, Cajamarca, one of the areas with the highest poverty rates in Peru. The study is based on recognizing wind energy as a viable and sustainable alternative to promote local development. For this purpose, a three-dimensional model of the area was developed using computer-aided design (CAD) tools and subsequently evaluated through simulations based on computational fluid dynamics (CFD). The input parameters were defined using satellite meteorological data provided by the Modern- Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) system, which ensured realistic boundary conditions. The results made it possible to identify areas with higher concentrations of wind energy, providing quantitative support for prioritizing future interventions. In addition, it was demonstrated that CFD modeling of small surfaces facilitates improved visualization of local wind flow patterns. In conclusion, this methodology can significantly contribute to the design of decentralized energy projects that benefit vulnerable rural communities.

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Sustainable Development Goals

  • SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  • SDG 13 - Climate Action
    SDG 13 Climate Action