Semantic obstruction detection for improved solar energy potential modeling in urban areas

Achieving precise and scalable solar potential estimation in urban settings is challenging due to the presence of a wide variety of obstructions. To address this issue, we developed a novel urban solar potential modeling method based on an improved 2-phase daylight model. Utilizing a dynamic graph c...

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Vydáno v:	Building simulation Ročník 18; číslo 4; s. 791 - 827
Hlavní autoři:	Tian, Bowen, Loonen, Roel C. G. M., Hensen, Jan L. M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Beijing Tsinghua University Press 01.04.2025 Springer Nature B.V
Témata:	Alternative energy sources Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution Building Construction and Design Engineering Engineering Thermodynamics Graph neural networks Heat and Mass Transfer Image segmentation Irradiation Modelling Monitoring/Environmental Analysis Obstructions Photovoltaic cells Renewable energy Renewable resources Research Article Semantic segmentation Semantics Shading Solar energy Solar radiation Sustainable development Urban areas Urban development Urban environments solar obstruction shading impacts urban solar irradiation dynamic graph CNN
ISSN:	1996-3599, 1996-8744
On-line přístup:	Získat plný text
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