TY - JOUR
T1 - A New Methodology for Estimating the Potential for Photovoltaic Electricity Generation on Urban Building Rooftops for Self-Consumption Applications
AU - Villa Ávila, Edisson Andrés
AU - Ochoa Correa, Danny Vinicio
AU - Villa Ávila, Michael
AU - Sempértegui Moscoso, María Emilia
AU - Jurado, Francisco
AU - Arévalo Cordero, Wilian Paul
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/12/4
Y1 - 2024/12/4
N2 - As the world increasingly embraces renewable energy as a sustainable power source, accurately assessing of solar energy potential becomes paramount. Photovoltaic (PV) systems, especially those integrated into urban rooftops, offer a promising solution to address the challenges posed by aging energy grids and rising fossil fuel prices. However, optimizing the placement of PV panels on rooftops remains a complex task due to factors like building shape, location, and the surrounding environment. This study introduces the Roof-Solar-Max methodology, which aims to maximize the placement of PV panels on urban rooftops while avoiding shading and panel overlap. Leveraging geographic information systems technology and 3D models, this methodology provides precise estimates of PV generation potential. Key contributions of this research include a roof categorization model, identification of PV-ready rooftops, optimal spatial distribution of PV panels, and innovative evaluation technology. Practical implementation in a real urban setting demonstrates the methodology’s utility for decision making in the planning and development of solar energy systems in urban areas. The main findings highlight substantial potential for PV energy generation in the studied urban area, with capacities reaching up to 444.44 kW. Furthermore, implementing PV systems on residential rooftops has proven to be an effective strategy for reducing CO2 emissions and addressing climate change, contributing to a cleaner and more sustainable energy mix in urban environments.
AB - As the world increasingly embraces renewable energy as a sustainable power source, accurately assessing of solar energy potential becomes paramount. Photovoltaic (PV) systems, especially those integrated into urban rooftops, offer a promising solution to address the challenges posed by aging energy grids and rising fossil fuel prices. However, optimizing the placement of PV panels on rooftops remains a complex task due to factors like building shape, location, and the surrounding environment. This study introduces the Roof-Solar-Max methodology, which aims to maximize the placement of PV panels on urban rooftops while avoiding shading and panel overlap. Leveraging geographic information systems technology and 3D models, this methodology provides precise estimates of PV generation potential. Key contributions of this research include a roof categorization model, identification of PV-ready rooftops, optimal spatial distribution of PV panels, and innovative evaluation technology. Practical implementation in a real urban setting demonstrates the methodology’s utility for decision making in the planning and development of solar energy systems in urban areas. The main findings highlight substantial potential for PV energy generation in the studied urban area, with capacities reaching up to 444.44 kW. Furthermore, implementing PV systems on residential rooftops has proven to be an effective strategy for reducing CO2 emissions and addressing climate change, contributing to a cleaner and more sustainable energy mix in urban environments.
KW - Roof-Solar-Max methodology
KW - photovoltaic rooftop systems
KW - solar energy potential assessment
KW - urban solar energy planning
KW - Photovoltaic rooftop systems
KW - Roof-Solar-Max methodology
KW - Solar energy potential assessment
KW - Urban solar energy planning
UR - https://www.scopus.com/pages/publications/85213426466
U2 - 10.3390/smartcities7060146
DO - 10.3390/smartcities7060146
M3 - Artículo
AN - SCOPUS:85213426466
SN - 2624-6511
VL - 7
SP - 3798
EP - 3822
JO - Smart Cities
JF - Smart Cities
IS - 6
ER -