IFS OPTIMIZATION FOR JET FUEL'S SURROGATE
Luca Freilino
IFS OPTIMIZATION FOR JET FUEL'S SURROGATE.
Rel. Dario Giuseppe Pastrone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2019
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Abstract
In the last decades, the increasing demand for air transport, both in the military and in the civil field, has led to an exponential growth of greenhouse gases emission, which are rationally thought to play an active role in climate change. One of the most important (and promising) solution proposed to counter this problem is the replacement of current fuels with less pollutant ones. Since no such adequate improvement would be achieved if the research was focused on current feedstocks, the interest is centered on renewable energy sources, whose products are the main hydrocarbons directly involved in the fuel combustion, reducing as much as possible the presence of other polluting agents.
From this alarming context immediately flows the necessity to find a well founded numerical model to forecast the chemical and physical properties of hydrocarbons' surrogate, in order to validate them against the reference petroleum fuel's properties
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