M
Michele Pinelli
Researcher at University of Ferrara
Publications - 208
Citations - 2508
Michele Pinelli is an academic researcher from University of Ferrara. The author has contributed to research in topics: Gas compressor & Axial compressor. The author has an hindex of 24, co-authored 188 publications receiving 2013 citations.
Papers
More filters
Journal ArticleDOI
NARX models for simulation of the start-up operation of a single-shaft gas turbine
Hamid Asgari,XiaoQi Chen,Mirko Morini,Michele Pinelli,Raazesh Sainudiin,Pier Ruggero Spina,Mauro Venturini +6 more
TL;DR: In this article, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine (GT) are developed and validated using three time series data sets of two different maneuvers taken experimentally during the start-up procedure.
Journal ArticleDOI
Thermophotovoltaic energy conversion: Analytical aspects, prototypes and experiences
TL;DR: In this article, the characteristics of a TPV generator are analyzed with a particular attention to the physical relationships which govern the behavior of its main components, including combustor, emitter, optical filter and photovoltaic cells.
Journal ArticleDOI
Overview and Status of Thermophotovoltaic Systems
TL;DR: In this paper, the characteristics of a thermophotovoltaic generator are analyzed with a particular attention to the physical relationships which govern the behavior of its main components, including combustor, the emitter, the optical filter and the photovoltaic cells.
Journal ArticleDOI
Development of an equilibrium model for the simulation of thermochemical gasification and application to agricultural residues
TL;DR: In this article, a model for the simulation of the biomass thermochemical gasification process is presented based on a chemical equilibrium hypothesis, i.e. it is assumed that the chemical transformations inside the gasifier can be described by a series of equilibrium reactions independent of each other and, therefore, a precise relationship between products and reactants can be determined.
Journal ArticleDOI
Methodology for estimating biomass energy potential and its application to Colombia
Miguel Angel Gonzalez-Salazar,Mirko Morini,Michele Pinelli,Pier Ruggero Spina,Mauro Venturini,Matthias Finkenrath,Witold-Roger Poganietz +6 more
TL;DR: In this paper, a bottom-up resource-focused approach with statistical analysis that uses a Monte Carlo algorithm to stochastically estimate the theoretical and the technical biomass energy potential is presented.