Paper: SolarGAN: Synthetic annual solar irradiance time series on urban building facades via Deep Generative Networks

Building Integrated Photovoltaics #BIPV is a promising technology to decarbonize urban energy systems via harnessing solar energy available on building envelopes. While methods to assess solar irradiation, especially on rooftops, are well established, the assessment on building facades usually involves a higher effort due to more complex urban features and obstructions.

The new paper "SolarGAN: Synthetic annual solar irradiance time series on urban building facades via Deep Generative Networks" by Yufei Zhang, Prof. Arno Schlueter and Christoph Waibel proposes a data-driven model based on Deep Generative Networks #DGN to efficiently generate stochastic ensembles of annual hourly solar irradiance time series on building facades with uncompromised spatiotemporal resolution at the urban scale.

Read the full paper on this link.

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White Paper: Accounting Greenhouse Gas (GHG) Emissions in Building Design: A White Paper on the GHG Emissions Timeline (GET)