A Decision Support System based on Earth observation exploitation for renewable energy plants management

A Decision Support System based on Earth observation exploitation for renewable energy plants management

AUTHORS:
Andrea Masini, Ciro Lanzetta, Giuseppe Leotta, Gian Lorenzo Giuliattini Burbui, Pasquale Guerrisi and Maria Luisa Lo Trovato.
ABSTRACT:
Nowadays remote sensing information can be exploited to support the management of renewable energy plants during all its life cycles. Earth observation satellite can provide a continuous monitoring of each location of the earth. Low-resolution and high-resolution imagery can be exploited to obtain accurate descriptions of the monitored scenarios/plants. Moreover, the use of unmanned air vehicle can provide complementary information to monitor important features not detectable with satellite sensors. i-EM and Flyby developed and tested a system, called 4D-REDSS (4D Renewable plants Decision Support System) aimed to exploit remote sensed data to advantage and support the management of solar plant during the construction and pre-commissioning phase.

PV-TECH POWER, i-EM in the cover

PV-TECH POWER, i-EM in the cover

PV-TECH POWER i-EM's predictive maintenance & Big data analytics in the cover The PV-Tech Power, the journal that addresses technology and business issues which impact on reducing LCOE and protecting ROI, has chosen i-EM for its cover story in the May 2019 release....