Giovanni Cinti

Dr. Giovanni Cinti

Università degli Studi di Perugia - Department of Engineering
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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10 February 2019 in Energies
Verified
Journal Article
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SGStefania Osk Gardarsdottir
Stefania Osk Gardarsdottir
ELEdoardo De Lena
Edoardo De Lena
MRMatteo Romano
Matteo Romano
Simon RoussanalySimon Roussanaly
Simon Roussanaly
MVMari Voldsund
Mari Voldsund
Giovanni CintiGiovanni Cinti
Giovanni Cinti
This paper presents an assessment of the cost performance of CO2 capture technologies when retrofitted to a cement plant: MEA-based absorption, oxyfuel, chilled ammonia-based absorption (Chilled Ammonia Process), membrane-assisted CO2 liquefaction, and calcium looping. While the technical basis for this study is presented in Part 1 of this paper series, this work presents a comprehensive techno-economic analysis of these CO2 capture technologies based on a capital and operating costs evaluation for retrofit in a cement plant. The cost of the cement plant product, clinker, is shown to increase with 49 to 92% compared to the cost of clinker without capture. The cost of CO2 avoided is between 42 €/tCO2 (for the oxyfuel-based capture process) and 84 €/tCO2 (for the membrane-based assisted liquefaction capture process), while the reference MEA-based absorption capture technology has a cost of 80 €/tCO2. Notably, the cost figures depend strongly on factors such as steam source, electricity mix, electricity price, fuel price and plant-specific characteristics. Hence, this confirms the conclusion of the technical evaluation in Part 1 that for final selection of CO2 capture technology at a specific plant, a plant-specific techno-economic evaluation should be performed, also considering more practical considerations.

12 February 2019 in Energies
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Journal Article
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MVMari Voldsund
Mari Voldsund
SGStefania Osk Gardarsdottir
Stefania Osk Gardarsdottir
ELEdoardo De Lena
Edoardo De Lena
JCJosé Francisco Pérez Calvo
José Francisco Pérez Calvo
AJArmin Jamali
Armin Jamali
KJKristin Jordal
Kristin Jordal
A technical evaluation of CO2 capture technologies when retrofitted to a cement plant is performed. The investigated technologies are the oxyfuel process, the chilled ammonia process, membrane-assisted CO2 liquefaction, and the calcium looping process with tail-end and integrated configurations. For comparison, absorption with monoethanolamine (MEA) is used as reference technology. The focus of the evaluation is on emission abatement, energy performance, and retrofitability. All the investigated technologies perform better than the reference both in terms of emission abatement and energy consumption. The equivalent CO2 avoided are 73–90%, while it is 64% for MEA, considering the average EU-28 electricity mix. The specific primary energy consumption for CO2 avoided is 1.63–4.07 MJ/kg CO2, compared to 7.08 MJ/kg CO2 for MEA. The calcium looping technologies have the highest emission abatement potential, while the oxyfuel process has the best energy performance. When it comes to retrofitability, the post-combustion technologies show significant advantages compared to the oxyfuel and to the integrated calcium looping technologies. Furthermore, the performance of the individual technologies shows strong dependencies on site-specific and plant-specific factors. Therefore, rather than identifying one single best technology, it is emphasized that CO2 capture in the cement industry should be performed with a portfolio of capture technologies, where the preferred choice for each specific plant depends on local factors.

1 December 2016 in Renewable Energy
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Journal Article
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Domenico FrattiniDomenico Frattini
Domenico Frattini
Giovanni CintiGiovanni Cinti
Giovanni Cinti
GBG. Bidini
G. Bidini
Umberto DesideriUmberto Desideri
Umberto Desideri
Raffaele CioffiRaffaele Cioffi
Raffaele Cioffi
EJE. Jannelli
E. Jannelli

1 August 2016 in International Journal of Hydrogen Energy
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Journal Article
Closed access
Giovanni CintiGiovanni Cinti
Giovanni Cinti
Gabriele DiscepoliGabriele Discepoli
Gabriele Discepoli
ESE. Sisani
E. Sisani
Umberto DesideriUmberto Desideri
Umberto Desideri

1 January 2016 in Applied Energy
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Journal Article
Closed access
Giovanni CintiGiovanni Cinti
Giovanni Cinti
Arianna BaldinelliArianna Baldinelli
Arianna Baldinelli
Alessandro Di MicheleAlessandro Di Michele
Alessandro Di Michele
Umberto DesideriUmberto Desideri
Umberto Desideri

23 November 2018 in Energies
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Vincenzo LisoVincenzo Liso
Vincenzo Liso
GSGiorgio Savoia
Giorgio Savoia
Samuel Simon ArayaSamuel Simon Araya
Samuel Simon Araya
Giovanni CintiGiovanni Cinti
Giovanni Cinti
SKSoren Knudsen Kaer
Soren Knudsen Kaer
In this paper, a simplified model of a Polymer Electrolyte Membrane (PEM) water electrolysis cell is presented and compared with experimental data at 60 °C and 80 °C. The model utilizes the same modelling approach used in previous work where the electrolyzer cell is divided in four subsections: cathode, anode, membrane and voltage. The model of the electrodes includes key electrochemical reactions and gas transport mechanism (i.e., H2, O2 and H2O) whereas the model of the membrane includes physical mechanisms such as water diffusion, electro osmotic drag and hydraulic pressure. Voltage was modelled including main overpotentials (i.e., activation, ohmic, concentration). First and second law efficiencies were defined. Key empirical parameters depending on temperature were identified in the activation and ohmic overpotentials. The electrodes reference exchange current densities and change transfer coefficients were related to activation overpotentials whereas hydrogen ion diffusion to Ohmic overvoltages. These model parameters were empirically fitted so that polarization curve obtained by the model predicted well the voltage at different current found by the experimental results. Finally, from the efficiency calculation, it was shown that at low current densities the electrolyzer cell absorbs heat from the surroundings. The model is not able to describe the transients involved during the cell electrochemical reactions, however these processes are assumed relatively fast. For this reason, the model can be implemented in system dynamic modelling for hydrogen production and storage where components dynamic is generally slower compared to the cell electrochemical reactions dynamics.