scispace - formally typeset
U

Umberto Desideri

Researcher at University of Pisa

Publications -  277
Citations -  6668

Umberto Desideri is an academic researcher from University of Pisa. The author has contributed to research in topics: Renewable energy & Combined cycle. The author has an hindex of 38, co-authored 258 publications receiving 5108 citations. Previous affiliations of Umberto Desideri include University of Florence & University of Perugia.

Papers
More filters
Journal ArticleDOI

Accelerated test for MCFC button cells: First findings

TL;DR: In this article, the authors carried out a deep study of the electrolyte evaporation in a Molten Carbonate Fuel Cell (MCFC) and by this mechanism evaluated the possibilities for inducing controlled acceleration of superimposed degradation phenomena.
Proceedings ArticleDOI

Rotary Kiln Slow Pyrolysis for Syngas and Char Production From Biomass and Waste: Part 1 — Working Envelope of the Reactor

TL;DR: In this paper, the relationship between Residence Time and Flow Rate of a rotary kiln was investigated. But the relationship was not considered in this paper, and it was not shown that the relationship can be used to determine the working envelope of the kiln as a function of the feedstock bulk density and moisture content.
Proceedings ArticleDOI

Assessment of the Energy Conversion of Whole Oil Fruits With a Pyrolysis and Gas Turbine Process

TL;DR: In this article, the authors evaluated the performance of a plant that converts the whole fruit into energy through pyrolysis, using a gas turbine (GT) with syngas.
Journal ArticleDOI

Multi-objective grey wolf optimization and parametric study of a continuous solar-based tri-generation system using a phase change material storage unit

TL;DR: In this article , the authors proposed a novel system for tri-generation application using solar power through which high capability of freshwater production is available together with electricity and cooling, and the prediction of the behavior of the system has been accomplished utilizing a comprehensive parametric study; afterward, the method of grey wolf optimization has been utilized to optimize the simulation in different multi-objective cases.