Luca Fiori

Prof. Luca Fiori

Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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7 October 1998 in Journal of Physics D: Applied Physics
Verified
Journal Article
Closed access
PDF file
BBB J Briscoe
B J Briscoe
Luca FioriLuca Fiori
Luca Fiori
EPE Pelillo
E Pelillo

1 December 2018 in Fuel
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Journal Article
Closed access
MLMichela Lucian
Michela Lucian
Maurizio VolpeMaurizio Volpe
Maurizio Volpe
LGLihui Gao
Lihui Gao
GPGiovanni Piro
Giovanni Piro
JGJillian L. Goldfarb
Jillian L. Goldfarb
Luca FioriLuca Fiori
Luca Fiori

13 February 2017 in Energies
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Journal Article
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MLMichela Lucian
Michela Lucian
Luca FioriLuca Fiori
Luca Fiori
In this paper, a hydrothermal carbonization (HTC) process is designed and modeled on the basis of experimental data previously obtained for two representative organic waste materials: off-specification compost and grape marc. The process accounts for all the steps and equipment necessary to convert raw moist biomass into dry and pelletized hydrochar. By means of mass and thermal balances and based on common equations specific to the various equipment, thermal energy and power consumption were calculated at variable process conditions: HTC reactor temperature T: 180, 220, 250 °C; reaction time θ: 1, 3, 8 h. When operating the HTC plant with grape marc (65% moisture content) at optimized process conditions (T = 220 °C; θ = 1 h; dry biomass to water ratio = 0.19), thermal energy and power consumption were equal to 1170 kWh and 160 kWh per ton of hydrochar produced, respectively. Correspondingly, plant efficiency was 78%. In addition, the techno-economical aspects of the HTC process were analyzed in detail, considering both investment and production costs. The production cost of pelletized hydrochar and its break-even point were determined to be 157 €/ton and 200 €/ton, respectively. Such values make the use of hydrochar as a CO2 neutral biofuel attractive.

1 January 2016 in Waste Management
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Journal Article
Closed access
DBDaniele Basso
Daniele Basso
Francesco PatuzziFrancesco Patuzzi
Francesco Patuzzi
Daniele CastelloDaniele Castello
Daniele Castello
MBMarco Baratieri
Marco Baratieri
Elena Cristina RadaElena Cristina Rada
Elena Cristina Rada
Luca FioriLuca Fiori
Luca Fiori


6 October 2020 in Waste and Biomass Valorization
Verified
Journal Article
Open access
PDF file
GIGiulia Ischia
Giulia Ischia
Luca FioriLuca Fiori
Luca Fiori
Hydrothermal carbonization (HTC) is an emerging path to give a new life to organic waste and residual biomass. Fulfilling the principles of the circular economy, through HTC “unpleasant” organics can be transformed into useful materials and possibly energy carriers. The potential applications of HTC are tremendous and the recent literature is full of investigations. In this context, models capable to predict, simulate and optimize the HTC process, reactors, and plants are engineering tools that can significantly shift HTC research towards innovation by boosting the development of novel enterprises based on HTC technology. This review paper addresses such key-issue: where do we stand regarding the development of these tools? The literature presents many and simplified models to describe the reaction kinetics, some dealing with the process simulation, while few focused on the heart of an HTC system, the reactor. Statistical investigations and some life cycle assessment analyses also appear in the current state of the art. This work examines and analyzes these predicting tools, highlighting their potentialities and limits. Overall, the current models suffer from many aspects, from the lack of data to the intrinsic complexity of HTC reactions and HTC systems. Therefore, the emphasis is given to what is still necessary to make the HTC process duly simulated and therefore implementable on an industrial scale with sufficient predictive margins.Graphic