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- W2938014747 abstract "World climate change and global warming increase are two urgent and strategic issues that nationaland international governments have to face, and different scenarios aimed to estimate the worldenergy demand were realized by several research centers: each scenario distinguishes itself by energypolicies over the years, and the desirable one requires many efforts to keep the temperature increasebelow 2°C above pre-industrial level. These efforts imply challenging targets on both primary andfinal energy employment, and this thesis is focused on two of them: improvement of renewableenergy exploitation and reduction of final energy consumption, and energy conversion systems ableto efficiently achieve these targets are cogenerated distributed plants, in particular the small scale.Nevertheless, in order to achieve significant primary energy saving, combined heat and power plantsneed to be designed with a substantial thermal power exploitation, as well as the design need reliableand congruent system models to evaluate the plant performances. The methodology carried out in thisdoctorate course was focused on the analysis of these topics and it was made by two main elements,an energy conversion system model, which describes the peculiar studied case, and a multi-variablemulti-objective optimization algorithm, which depends on the specific application. In particular, twodifferent applications of the methodology were realized, one aimed at designing the more efficientenergy interaction between energy system and user and one aimed at validate thermodynamic modelsand experimental data congruence; the first application concerned combined heat and power plantsbased on internal combustion engine and gas turbine, while the second application was performed onmicro gas turbines and pyro-gasification biomass plant. The methodology showed to be a potentiallypowerful tool about conversion energy systems analysis, due to the relevant primary energy savingrelated to designed cogenerated power plant and to the analysis of reliability performed onmathematical models of energy conversion systems." @default.
- W2938014747 created "2019-04-25" @default.
- W2938014747 creator A5032398196 @default.
- W2938014747 date "2018-01-01" @default.
- W2938014747 modified "2023-09-27" @default.
- W2938014747 title "A multi-variable multi-objective methodology applied to energy conversion systems" @default.
- W2938014747 hasPublicationYear "2018" @default.
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