Contactos

Departamento de Ciências da Terra e Energia

Sala/Gabinete 8.3.37
Ext. Principal 28337
Telefone Direto 217500883
Email mcbrito@ciencias.ulisboa.pt

Carreira Docente Universitário
Categoria Professor Associado com Agregação

Indicadores

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Keywords


Currículo Resumido

Miguel is interested on advancing PV integration across buildings, urban environments, agriculture, and mobility systems, developing methods to assess solar potential, optimise PV‑battery performance, and improve the resilience of energy systems under climate and demand variability. This includes urban PV modelling, agrivoltaic system design, and the evaluation of vehicle‑integrated PV for sustainable mobility, but also other related topics such as critical materials for the energy transition, environmental and social impacts of PV utility-scale power plants, etc.


Interesses Científicos

PV integration; firm power; demand flexibility; soiling and PV generation; critical materials for the energy transition; social acceptance of renewable energies


Scientific Interests

PV integration; firm power; demand flexibility; soiling and PV generation; critical materials for the energy transition; social acceptance of renewable energies


Publicações selecionadas
  • J.C. Solano, M.C. Brito, E. Caamano-Martin (2018) Impact of fixed charges on the viability of self-consumption photovoltaics, Energy Policy,122:322-331 https://doi.org/10.1016/j.enpol.2018.07.059.
  • P Redweik, C Catita, M Brito (2013) Solar energy potential on roofs and facades in an urban landscape, Solar Energy 97, 332-341
  • Minimizing storage needs for large scale photovoltaics in the urban environment (2018) Solar Energy, 159:375-389, https://doi.org/10.1016/j.solener.2017.11.011
  • P. Nunes, R. Figueiredo, M.C. Brito (2016) The use of parking lots to solar-charge electric vehicles, Renewable and Sustainable Energy Reviews, 66:679-693, http://dx.doi.org/10.1016/j.rser.2016.08.015.
  • R. Amaro e Silva, M. C. Brito (2018) Impact of network layout and time resolution on spatio-temporal solar forecasting,Solar Energy,163: 329-337, https://doi.org/10.1016/j.solener.2018.01.095.

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