Solar Potential Uncertainty in Building Rooftops as a Function of Digital Surface Model Accuracy

dc.contributor.authorPolo, Jesus
dc.contributor.authorGarcia, Redlich J.
dc.date.accessioned2025-01-20T20:17:27Z
dc.date.available2025-01-20T20:17:27Z
dc.date.issued2023
dc.description.abstractSolar cadasters are excellent tools for determining the most suitable rooftops and areas for PV deployment in urban environments. There are several open models that are available to compute the solar potential in cities. The Solar Energy on Building Envelopes (SEBE) is a powerful model incorporated in a geographic information system (QGIS). The main input for these tools is the digital surface model (DSM). The accuracy of the DSM can contribute significantly to the uncertainty of the solar potential, since it is the basis of the shading and sky view factor computation. This work explores the impact of two different methodologies for creating a DSM to the solar potential. Solar potential is estimated for a small area in a university campus in Madrid using photogrammetry from google imagery and LiDAR data to compute different DSM. Large differences could be observed in the building edges and in the areas with a more complex and diverse topology that resulted in significant differences in the solar potential. The RSMD at a measuring point in the building rooftop can range from 10% to 50% in the evaluation of results. However, the flat and clear areas are much less affected by these differences. A combination of both techniques is suggested as future work to create an accurate DSM.
dc.description.funderSpanish Ministry of Science and Innovation
dc.fuente.origenWOS
dc.identifier.doi10.3390/rs15030567
dc.identifier.eissn2072-4292
dc.identifier.urihttps://doi.org/10.3390/rs15030567
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/92398
dc.identifier.wosidWOS:000932566000001
dc.issue.numero3
dc.language.isoen
dc.revistaRemote sensing
dc.rightsacceso restringido
dc.subjectsolar cadaster
dc.subjectsolar potential in rooftops
dc.subjectdigital surface model
dc.subjectgeographic information system
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleSolar Potential Uncertainty in Building Rooftops as a Function of Digital Surface Model Accuracy
dc.typeartículo
dc.volumen15
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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