scispace - formally typeset
R

Riccardo Novo

Researcher at Polytechnic University of Turin

Publications -  10
Citations -  70

Riccardo Novo is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Renewable energy & Wind power. The author has an hindex of 2, co-authored 3 publications receiving 13 citations.

Papers
More filters
Journal ArticleDOI

Analysis of a Gyroscopic-Stabilized Floating Offshore Hybrid Wind-Wave Platform

TL;DR: In this article, the authors presented a model that describes the installation of a 5 MW wind turbine on a floating platform designed by Fincantieri and equipped with gyroscopic stabilization, which allows for the delivery of platform stabilization by damping the wave and wind induced motion on the floater and at the same time producing extra power.
Journal ArticleDOI

Dynamic Modeling of an Offshore Floating Wind Turbine for Application in the Mediterranean Sea

TL;DR: In this paper, the authors comprehensively model an offshore floating wind turbine and examine the behavior resulting from a wide spectrum of sea and wind states typical of the Mediterranean Sea, and a simulation campaign is carried out to estimate the wind turbine LCOE (Levelized Cost of Energy). Based on this, the best substructure is chosen and the convenience of the investment is evaluated.
Proceedings ArticleDOI

Non Linear Simulation of a Wave Energy Converter With Multiple Degrees of Freedom Using a Harmonic Balance Method

TL;DR: Harmonic balance (HB) is presented for WEC systems with an arbitrary number of DoFs, and general features of the HB method are exemplified, in particular the exponential convergence rate to the actual mathematical solution, and the starting point of theHB algoritm.
Journal ArticleDOI

Towards 100% renewable energy systems: The role of hydrogen and batteries

TL;DR: In this article , the authors investigated the role of batteries and hydrogen storage in achieving a 100% renewable energy system with a high share of renewable energy, and the results showed good accuracy, even for a small number of representative days, which is necessary to limit the computational burden of the optimisation problem.
Journal ArticleDOI

Supporting Decarbonization Strategies of Local Energy Systems by De-Risking Investments in Renewables: A Case Study on Pantelleria Island

TL;DR: In this paper , a scenario analysis approach for local energy planning that supports policymakers and investors in prioritizing new renewable power plant investments, addressing the risks deriving from citizens' choices is presented.