Optimizing Solar Potential Analysis in Cuba: A Methodology for High-Resolution Regional Mapping DOI Open Access
Javier Domínguez, Carlo Bellini, Ana María Martín Ávila

и другие.

Опубликована: Авг. 22, 2024

The development of solar energy on a regional scale necessitates thorough understanding available resources. Cuba, facing prolonged economic, environmental, and crises, urgently needs to enhance its sustainability through energy. While resource mapping is widespread, Cuba lacks extensive field measurements, often relying models that may not be ideally suited for large regions like Matanzas province. Spanning over 12,000 km² with nearly 150 km between northern southern extremes, presents challenges high-resolution mapping. This study introduces methodology integrates various methods databases achieve maximum resolution in the resulting map. approach designed areas where conventional fall short. By optimizing calculation times parameterizing entire surface latitudinally, map has been developed. significantly enhances resources proposes new methodologies analyzing potential similarly regions.

Язык: Английский

Assessment of the Solar Potential of Buildings Based on Photogrammetric Data DOI Creative Commons
Paulina Deliś,

Hubert Sybilski,

Marlena Tywonek

и другие.

Energies, Год журнала: 2025, Номер 18(4), С. 868 - 868

Опубликована: Фев. 12, 2025

In recent years, a growing demand for alternative energy sources, including solar energy, has been observed. This article presents methodology assessing the potential of buildings using images from Unmanned Aerial Vehicles (UAVs) and point clouds airborne LIDAR. The proposed method includes following stages: DSM generation, extraction building footprints, determination roof parameters, map removing areas that are not suitable installation systems, calculation power per each building, conversion irradiance into mapping generation. paper describes also Detecting Photovoltaic Panels algorithm with use deep learning techniques. enabled efficiency photovoltaic panels comparing results maps buildings, as well identifying require optimization. analysis, which had conducted in test village on campus university, confirmed usefulness above methods. analysis provides UAV image data enable generation higher accuracy (MAE = 8.5 MWh) than LIDAR 10.5 MWh).

Язык: Английский

Процитировано

0
Optimizing Solar Potential Analysis in Cuba: A Methodology for High-Resolution Regional Mapping DOI Open Access
Javier Domínguez, Carlo Bellini, Ana María Martín Ávila

и другие.

Опубликована: Авг. 22, 2024

The development of solar energy on a regional scale necessitates thorough understanding available resources. Cuba, facing prolonged economic, environmental, and crises, urgently needs to enhance its sustainability through energy. While resource mapping is widespread, Cuba lacks extensive field measurements, often relying models that may not be ideally suited for large regions like Matanzas province. Spanning over 12,000 km² with nearly 150 km between northern southern extremes, presents challenges high-resolution mapping. This study introduces methodology integrates various methods databases achieve maximum resolution in the resulting map. approach designed areas where conventional fall short. By optimizing calculation times parameterizing entire surface latitudinally, map has been developed. significantly enhances resources proposes new methodologies analyzing potential similarly regions.

Язык: Английский

Процитировано

2