Rodolfo ARANEO

Prof. Rodolfo ARANEO

Department of Astronautical, Electrical and Energetic Engineering University of Rome La Sapienza Via Eudossiana 18, 00184 Rome, Italy
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 March 2008
Verified
Book
Open access
Salvatore CelozziSalvatore Celozzi
Salvatore Celozzi
Rodolfo ARANEORodolfo ARANEO
Rodolfo ARANEO
GLGiampiero Lovat
Giampiero Lovat
Click on the title to browse this book

21 March 2013 in Physical Review B
Verified
Journal Article
Closed access
GLGiampiero Lovat
Giampiero Lovat
GHGeorge W. Hanson
George W. Hanson
Rodolfo ARANEORodolfo ARANEO
Rodolfo ARANEO
PBPaolo Burghignoli
Paolo Burghignoli
Analytical expressions are presented for the intraband conductivity tensor of graphene that includes spatial dispersion for arbitrarily wave-vector values and the presence of a nonzero Fermi energy. The conductivity tensor elements are derived from the semiclassical Boltzmann transport equation under both the relaxation-time approximation and the Bhatnagar-Gross-Krook model (which allows for an extra degree of freedom to enforce number conservation). The derived expressions are based on linear electron dispersion near the Dirac points, and extend previous results that assumed small wave-vector values; these are shown to be inadequate for the very slow waves expected on graphene nanoribbons. The new expressions are also compared to results obtained by numerical integration over the first Brillouin zone using the exact (tight-binding) electron dispersion relation. Very good agreement is found between the new analytical expressions and the exact numerical results. Furthermore, a comparison with the longitudinal random-phase conductivity is also made. It is shown analytically that these new expressions lead to the correct value of the quantum capacitance of a graphene sheet and that ignoring spatial dispersion leads to serious errors in the propagation properties of fundamental modes on graphene nanoribbons.

30 April 2012 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
Rodolfo ARANEORodolfo ARANEO
Rodolfo ARANEO
GLGiampiero Lovat
Giampiero Lovat
PBPaolo Burghignoli
Paolo Burghignoli
Christian FalconiChristian Falconi
Christian Falconi

19 May 2009 in IEEE Transactions on Electromagnetic Compatibility
Verified
Journal Article
Closed access
Rodolfo ARANEORodolfo ARANEO
Rodolfo ARANEO
GLGiampiero Lovat
Giampiero Lovat
The evaluation of the shielding effectiveness (SE) of rectangular metallic enclosures having apertures in their walls and loaded with conducting bodies is the subject of this paper. The conducting objects can be either modifications of the inner part of the enclosure (e.g., simple metal plates or protrusions of the walls) or elements to be protected from external fields (e.g., printed circuit boards or metallic boxes). The SE of such enclosures is thus investigated through an efficient integral formulation based on the method of moments. The proposed approach makes use of a very fast computation of the enclosure Green's functions, based on the Ewald representation and interpolation techniques. The analysis shows that the classical SE of enclosures (calculated when a uniform plane wave impinges on the aperture of an empty enclosure) can be a very tricky figure of merit since the field inside the shield can be seriously affected by the possible presence of 2-D or 3-D conducting loads, especially in the frequency range above the first resonant frequency of the aperture-enclosure system. Comparisons with full-wave results obtained through different commercial software confirm the validity of the proposed technique and its excellent performance.

4 August 2009 in IEEE Transactions on Electromagnetic Compatibility
Verified
Journal Article
Closed access
Rodolfo ARANEORodolfo ARANEO
Rodolfo ARANEO
SLSergio Lammens
Sergio Lammens
MGMarco Grossi
Marco Grossi
SBStefano Bertone
Stefano Bertone
This paper outlines the main electromagnetic compatibility issues frequently encountered in high-power grid-connected photovoltaic (PV) systems, and proposes several guidelines that allow to obtain an effective and highly efficient layout of the plant. At first, with reference to a 1-MWp PV plant of Sorgenia Solar, Italy, the paper focuses on the peculiar aspects concerning the radio-frequency behavior of a large-size PV plant: the great extent of the direct-current cabling, the capacitance toward earth of the PV source, the common-mode (CM) disturbance generated by inverters, the galvanic isolation ensured by dedicated low-voltage power transformers, and the presence of resonant circuits for CM leakage currents. The dominant electromagnetic phenomena and coupling mechanisms are pointed out by means of an equivalent circuit and through measurements. In the light of the matured experience, several guidelines are proposed and a new reliable layout is implemented on a second 1-MWp PV plant. New measurements confirm the validity of the proposed design strategy.

15 May 2019 in IEEE Transactions on Industry Applications
Verified
Journal Article
Closed access
Antonello RosatoAntonello Rosato
Antonello Rosato
Massimo PanellaMassimo Panella
Massimo Panella
Rodolfo ARANEORodolfo ARANEO
Rodolfo ARANEO
Amedeo AndreottiAmedeo Andreotti
Amedeo Andreotti
In the modern scenario of smart-grids, the concept of Virtual Power Plant (VPP) is undoubtedly a cornerstone for the smooth integration of Renewable Energy Sources (RESs) into existing energy systems with an high penetration level. A Virtual Power Plant is the aggregation of decentralized medium-scale power sources, including photovoltaic and wind power plants, Combined Heat and Power units, as well as demand-responsive loads and storage systems, with a twofold objective. On the one hand, VPP relieves the stability and dispatchability problems on the external smart-grid since it can be operated on an individual basis, appearing as a single system on the whole. On the other hand, VPP improves flexibility coming from all the networked units and enable traders to enhance forecasting and trading programs of renewable energies. This paper proposes a novel distributed decentralized prediction method for the management of VPPs. The novelty of the proposed technique is to effectively combine the concepts of neural networks and machine learning with a distributed architecture that is suitable for the aggregation purposes of the VPP.