Rodrigo Amaro e Silva
Visiting researcher @ Lawrence Berkeley National Laboratory – LBL (2017)
Visiting researcher @ National Center for Atmospheric Research – NCAR (2017)
PhD student in Geophysics, Earth Systems Doctoral Program (since March 2015)
MSc in Energy and Environment Engineering (FCUL, 2014)
Scientific interests: solar energy, photovoltaics, renewable energies
Spatio-temporal solar forecasting
Solar PV systems, at all installation scales, are now cost-competitive with conventional energy sources in several countries, triggering an increased deployment of distributed small-scale systems and creating new energy paradigms such as self-consumption and prosumer.
The PV production of these geographically distributed energy generation units are obviously dependent on the incoming solar radiation and therefore may act as a distributed network of radiation sensors that may provide spatio-temporal solar radiation data. These ‘sensors’ are not as accurate nor calibrated as standard radiation measurement devices, they are often tilted with arbitrary inclination and orientation but nevertheless add valuable information which would otherwise be difficult and expensive to obtain.
The passing of clouds may result in irradiance changes around 20-80% in a matter of seconds. Thus, solar forecasting, which tries to predict this intermittency, is considered by the IEA (International Energy Agency) as one of the main enablers for a high-penetration of PV in the energy mix.
Sky status as seen by a skycam
R. Amaro e Silva, J. Monteiro Baptista, and M. C. Brito, “Data-driven estimation of expected photovoltaic generation,” Sol. Energy, vol. 166, no. January, pp. 116–122, 2018. DOI
R. Amaro e Silva and M. C. Brito, “Impact of network layout and time resolution on spatio-temporal solar forecasting,” Sol. Energy, vol. 163, no. March 2017, pp. 329–337, 2018. DOI
M. Aido, J. Baptista, R. Silva, M. Andrade, D. Abreu, L. Martins, A. Rato, A. Cunha, M. Brito, “Como Estamos de Sol”, SciCom 2018, Figueira de Castelo Rodrigo, Portugal, 2018.
R. Amaro e Silva, L. C. C. Teixeira da Silva, M. C. Brito “Support Vector Regression for spatio-temporal PV forecasting”. Oral presentation/proceeding at the 35th EUPVSEC, September 2018, Brussels, Belgium
M. Aido, R. Silva, M. Brito, “Solar radiation in schools”, International European Citizen Science Association Conference, Berlin, Germany, 2016
Amaro e Silva, R., Brito MC “Understanding spatio-temporal solar forecasting”. Oral proceeding/paper at the 7th Solar Integration Workshop, October 2017, Berlin, Germany
Passos, P., Silva, R., “Players’ relative position to characterize affordances landscape in football”. Oral presentation at the 6th TGfU Conference, July 2016, Cologne, Germany
Freitas, S., Cristóvão, A., Silva, R., Brito, M.C., “Obstruction surveying methods for PV applications in urban environments”. Poster presentation/paper at the 32nd EUPVSEC, June 2016, Munich, Germany