COSTAMAGNA P.

Metal oxide nanofiber (MONF)-based electrodes are currently at the cutting edge of research for application in solid oxide fuel cells (SOFCs), especially in intermediate temperature–solid oxide fuel cells (IT-SOFCs). Mixed ionic-electronic conductors (MIECs) have been widely investigated as cathode materials for IT-SOFCs. Compared to pure...

No description

No description

Synthesis and electrochemical characterization of composite cathodes, formed from a mixture of La0.6Sr0.4Co0.2Fe0.8O3–δ (LSCF) and Ce0.9Gd0.1O1.95 (GDC) nanofibers, is reported. The electrodes are obtained by simultaneous electrospinning of the two precursor solutions, using apparatus equipped with two spinnerets working in parallel. Results of...

No description

Electrospun La0.6Sr0.4Co0.2Fe0.8O3-delta (LSCF) continuous unbroken nanofiber cathodes are investigated through electrochemical impedance spectroscopy, carried out on symmetrical button cells employing a Ce0.9Gd0.1O1.95 (CGO) electrolyte. The Nyquist plot of the EIS experimental data at 550 degrees C shows a single arc displaying typical...

Electrospun La0.6Sr0.4Co0.2Fe0.8O3-delta (LSCF) nanorod cathodes are investigated. Morphological characterization shows that the nanorods are arranged into a 3-D stochastic structure, with multiple contact points with each other. Experimental characterization of symmetrical button cells through electrochemical impedance spectroscopy...

A side-stream ammonia stripping system coupled with a full-scale anaerobic digestion plant is considered. The system is based on an ammonia stripping unit (thin film evaporator, TFE), a Venturi scrubber and a reactive absorption column. A portion of the sludge treated in the digesters is continuously withdrawn and transferred to the TFE, where...

Three Ni-based natural gas steam reforming catalysts, i.e., commercial JM25-4Q and JM57-4Q, and a laboratory-made catalyst (26% Ni on a 5% SiO2-95% Al2O3), are tested in a laboratory reactor, under carbon dioxide methanation and methane steam reforming operating conditions. The laboratory catalyst is more active in both CO2 methanation...

To support the interpretation of the experimental results obtained from two laboratory-scale reactors, one working in the steam methane reforming (SMR) mode, and the other in the CO2 hydrogenation (MCO2) mode, a steady-state pseudo-homogeneous 1D non-isothermal packed-bed reactor model is developed, embedding the classical Xu and Froment local...

A process for the continuous extraction of ammonia from anaerobic digesters is proposed. In this process, a portion of the sludge treated in the digesters is continuously withdrawn and transferred to a thin film evaporator (TFE) unit, where the ammonia is stripped through a biogas stream. The ammonia-rich biogas is treated with a sulfuric...

A multi-scale model is presented for a steam methane reforming reactor. The reactor is a typical top-fired, packed-bed multi-tubular reactor. The model embeds, at the microscopic scale, a 1-dimensional simulation of mass transport and reaction inside the catalyst particles. At the intermediate (mesoscopic) scale, the tubular reactor model is...

Innovative membrane filtration plants for municipal wastewaters are being developed and need the support of reliable filtration models in the designing phase. In the past, semi-empirical filtration models for membrane processes have been proposed. At present, the most prominent works point out the importance of particle poly-dispersity in the...

Fault detection and isolation (FDI) systems represent a crucial element for the commercial diffusion of SOFC-based power generation plants. The physical quantities measured in the plant during the functioning feed a statistical classifier, in view of detecting and identifying possible faults. The classifier training is performed off ...

Data-driven fault diagnosis is a promising approach for the early detection and isolation of malfunctions in power generation plants deploying solid oxide fuel cells (SOFCs). Despite the supervised classifier used in a data-driven system is trained by samples gathered under one specific design-point operating condition, during real operation...