A new innovative methodology for photovoltaic integration on rooftops for cost reduction and reduced grid dependency

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Resumen

As the global demand for sustainable energy rises, accurately assessing the potential of solar energy becomes crucial. Photovoltaic systems, particularly those integrated into urban rooftops, offer a promising solution to address challenges associated with outdated energy grids and increasing fossil fuel costs. However, achieving the optimal placement of photovoltaic panels on rooftops remains challenging due to factors such as building morphology, location, and the surrounding environment. In this context, this chapter introduces the roof-solar methodology, designed to enhance the placement of photovoltaic panels in urban environments by avoiding shading and overlaps. Based on geographic information system technologies and three-dimensional models, this methodology provides precise estimates of photovoltaic energy generation potential. Key contributions of this work include a roof categorization model, the identification of suitable roofs for photovoltaic panel installation, as well as the optimal spatial distribution of these devices, and innovative assessment technologies. The practical application of this methodology in real urban environments confirms its utility for decision-making in the planning and development of solar energy systems. The results highlight a significant potential for photovoltaic energy generation in the studied urban area, with capacities reaching up to 343 kW. Furthermore, implementing photovoltaic systems on residential rooftops have proven to be an effective strategy in reducing CO2 emissions and addressing climate change, contributing to a cleaner and more sustainable energy matrix in urban settings.
Idioma originalInglés
Título de la publicación alojadaArtificial Intelligence and Machine Learning Applications for Sustainable Development
EditorialCRC Press
Capítulo6
Páginas150-176
Número de páginas27
EdiciónPrimera
ISBN (versión digital)978-104027358-6
ISBN (versión impresa)978-104027358-6
DOI
EstadoPublicada - 27 ene. 2025

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante
  2. ODS 11: Ciudades y comunidades sostenibles
    ODS 11: Ciudades y comunidades sostenibles
  3. ODS 13: Acción por el clima
    ODS 13: Acción por el clima
  4. ODS 17: Alianzas para lograr los objetivos
    ODS 17: Alianzas para lograr los objetivos

Palabras clave

  • Rooftop photovoltaic integration
  • Solar planning methodology
  • Digital surface models (DSM)
  • Urban energy planning
  • Renewable energy integration

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