Sannino, Raniero
(2018)
A multi-variable multi-objective methodology applied to energy conversion systems.
[Tesi di dottorato]
| Item Type: |
Tesi di dottorato
|
| Lingua: |
English |
| Title: |
A multi-variable multi-objective methodology applied to energy conversion systems |
| Creators: |
| Creators | Email |
|---|
| Sannino, Raniero | raniero.sannino@unina.it |
|
| Date: |
2018 |
| Number of Pages: |
114 |
| Institution: |
Università degli Studi di Napoli Federico II |
| Department: |
dep11 |
| Dottorato: |
phd046 |
| Ciclo di dottorato: |
30 |
| Coordinatore del Corso di dottorato: |
| nome | email |
|---|
| Grassi, Michele | michele.grassi@unina.it |
|
| Tutor: |
| nome | email |
|---|
| Gimelli, Alfredo | UNSPECIFIED |
|
| Date: |
2018 |
| Number of Pages: |
114 |
| Uncontrolled Keywords: |
Energy systems
Vector optimization
Combined Heat and Power (CHP) |
| Settori scientifico-disciplinari del MIUR: |
Area 09 - Ingegneria industriale e dell'informazione > ING-IND/08 - Macchine a fluido |
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| Date Deposited: |
06 Jan 2018 12:16 |
| Last Modified: |
12 Apr 2019 08:03 |
| URI: |
http://www.fedoa.unina.it/id/eprint/12038 |
Abstract
World climate change and global warming increase are two urgent and strategic issues that national
and international governments have to face, and different scenarios aimed to estimate the world
energy demand were realized by several research centers: each scenario distinguishes itself by energy
policies over the years, and the desirable one requires many efforts to keep the temperature increase
below 2°C above pre-industrial level. These efforts imply challenging targets on both primary and
final energy employment, and this thesis is focused on two of them: improvement of renewable
energy exploitation and reduction of final energy consumption, and energy conversion systems able
to 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 plants
need to be designed with a substantial thermal power exploitation, as well as the design need reliable
and congruent system models to evaluate the plant performances. The methodology carried out in this
doctorate 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-variable
multi-objective optimization algorithm, which depends on the specific application. In particular, two
different applications of the methodology were realized, one aimed at designing the more efficient
energy interaction between energy system and user and one aimed at validate thermodynamic models
and experimental data congruence; the first application concerned combined heat and power plants
based on internal combustion engine and gas turbine, while the second application was performed on
micro gas turbines and pyro-gasification biomass plant. The methodology showed to be a potentially
powerful tool about conversion energy systems analysis, due to the relevant primary energy saving
related to designed cogenerated power plant and to the analysis of reliability performed on
mathematical models of energy conversion systems.
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