Martoriello, Gaia (2022) Optimization of biomass powered cogeneration systems based on gasifiers and internal combustion engines. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Optimization of biomass powered cogeneration systems based on gasifiers and internal combustion engines |
| Creators: | Creators Email Martoriello, Gaia gaia.martoriello@unina.it |
| Date: | 2022 |
| Number of Pages: | 219 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Ingegneria Industriale |
| Dottorato: | Ingegneria industriale |
| Ciclo di dottorato: | 34 |
| Coordinatore del Corso di dottorato: | nome email Grassi, Michele michele.grassi@unina.it |
| Tutor: | nome email Tuccillo, Raffaele UNSPECIFIED Costa, Michela UNSPECIFIED Cirillo, Domenico UNSPECIFIED |
| Date: | 2022 |
| Number of Pages: | 219 |
| Keywords: | Syngas; gasification; biomass; internal combustion engine; modeling; experimental characterization; microgrid; microCHP |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/08 - Macchine a fluido |
| Date Deposited: | 30 Mar 2022 12:01 |
| Last Modified: | 28 Feb 2024 14:22 |
| URI: | http://www.fedoa.unina.it/id/eprint/14626 |
Collection description
The Ph.D work, funded within the Bilateral Agreement Confindustria-National Research Council and carried out in collaboration with the University of Naples “Federico II”, the National Research Council – Istituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili (CNR-STEMS) and the company Costruzioni Motori Diesel (CMD) SpA, intends to give a tangible contribution to improving the performance of a micro-cogeneration plant, the CMD ECO20x. After an initial phase of literature review, a fully analysis of the CMD system consisting of a downdraft gasifier coupled with an internal combustion engine (ICE) was exploited, both through the experimental and the numerical approach. The numerical simulation and the multi-objective optimization provide useful information both in the m-CHP design and verification phase. The experimental activity includes the evaluation of syngas and pollutant emissions composition, ICE in-cylinder pressure and the main energy output measurements in a real environment, the municipal waste management centre of Mugnano (NA), in the Southern Italy. Lastly, a numerical study on the m-CHP integration with photovoltaic (PV) solar energy and hydrogen storage, possible thanks to the collaboration with Mälardalen University (Sweden), is made to understand the possibility of providing energy to e-car charging stations in the respect of constraints of compactness, high quality service and ultra-low environmental impact. These results give important information for the on-going project “Borgo 4.0” (2020-on going), funded by POR CAMPANIA FESR 2014-2020, in the creation of a totally innovative and 100% renewable charging infrastructure.
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