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Paolo Iora

Researcher at University of Brescia

Publications -  74
Citations -  1995

Paolo Iora is an academic researcher from University of Brescia. The author has contributed to research in topics: Working fluid & Degree Rankine. The author has an hindex of 20, co-authored 65 publications receiving 1639 citations. Previous affiliations of Paolo Iora include Polytechnic University of Milan.

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Definition and sensitivity analysis of a finite volume SOFC model for a tubular cell geometry

TL;DR: In this paper, a finite volume model of a solid oxide fuel cell is developed, which applies a detailed electrochemical and thermal analysis to a tubular SOFC of given geometry, material properties and assigned input flows.
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Bottoming micro-Rankine cycles for micro-gas turbines

TL;DR: In this paper, the authors investigated the possibility of enhancing the performances of micro-gas turbines through the addition of a bottoming organic Rankine cycle which recovers the thermal power of the exhaust gases typically available in the range of 250-300°C.
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Comparison of two IT DIR-SOFC models: Impact of variable thermodynamic, physical, and flow properties. Steady-state and dynamic analysis

TL;DR: In this article, the authors compared two dynamic, one-dimensional models of a planar anode-supported intermediate temperature (IT) direct internal reforming (DIR) solid oxide fuel cell (SOFC): one where the flow properties (pressure, gas stream densities, heat capacities, thermal conductivities, and viscosity) and gas velocities are taken as constant throughout the system, based on inlet conditions, and one where this assumption is removed to focus on the effect of considering the variation of local flow properties on the prediction of the fuel cell performance.
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Comparison of Finite Volume SOFC Models for the Simulation of a Planar Cell Geometry

TL;DR: In this paper, the authors developed a finite volume model for a planar solid oxide fuel cell and applied a detailed electrochemical and thermal analysis to the model with co-flow, counter-flow or cross-flow configuration.
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Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data

TL;DR: In this article, a general quasi-steady backward-looking model for energy consumption estimation of electric vehicles is presented, based on a literature review of existing approaches and was set up using publicly available data for Nissan Leaf.