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Hi.Pe.GEO
Ph.D Thesis

 

Teresa Donateo

She attended the School of Material Engineering at the University of Lecce (Italy), and graduated in 1999 with first class honors.

In May 2000, she awarded a grant for the PhD school in Innovative Materials and Technologies at the ISUFI of Lecce, Italy in the field of Combustion and Energy Conversion and received the

Ph.D. degree in 2003. Her PhD research project dealt with the optimization of direct injection Diesel engines combustion processes by means of numerical simulation and experimental investigation and was conducted at the Energy and Environment Research Center (CREA) of the Department of Engineering for Innovation. From September 2005 to December she held a visiting position at the Center for Automotive Research of prof. Rizzoni at the Ohio State University, Columbus, OH and gave a series of lecture on the application of multi-objective algorithms and Multi Criteria Decision making to the optimization of diesel engines and hybrid vehicles.

She practiced in the field of patents and trademarks and gave a series of lectures on “Patent search on the Internet”.

In November 2001 she joined the Faculty of the University of Lecce as Assistant Professor.

Specific research topics:

bullet Numerical simulation of Internal Combustion Engines. She developed a modified version of the Shell model for the prediction of autoignition in diesel engines and improved the simulation of transient sprays in the KIVA3V codes by adding the effect of fuel density variability and introducing a correlation for the spray cone angle;
bullet Modeling of ignition and emissions mechanism of formation in HCCI engines;
bullet Evolutionary optimization techniques. She developed a web portal for the optimization of the combustion chamber in collaboration with the Center for Advanced Computational Technologies/ISUFI Dept. of Engineering for Innovation, University of Lecce. The portal is based on a multi-objective genetic algorithm called HiPeGEO (High Performance Genetic Algorithm for Engine Optimization) and allows reducing computational time using a collection of distributed resources in the framework of the SPACI consortium;
bullet Simulation of low pressure sprays for SCR application
bullet Development and optimization of hybrid power-trains with either engines or fuel cells
bullet Use of Vehicle to vehicle and Vehicle to grid communication for the adaptative control of energy management

 

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Ultimo aggiornamento: 08-04-10