Vitiello, Luigi (2014) SIGNIFICANT IMPROVEMENT OF THE SHIP ENERGY EFFICIENCY VIA DESIGN OF EXPERIMENTS AND REGRESSION ANALYSIS. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: SIGNIFICANT IMPROVEMENT OF THE SHIP ENERGY EFFICIENCY VIA DESIGN OF EXPERIMENTS AND REGRESSION ANALYSIS
Creators:
CreatorsEmail
Vitiello, Luigiluigi.vitiello@unina.it
Date: 31 March 2014
Number of Pages: 105
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Industriale
Scuola di dottorato: Ingegneria industriale
Dottorato: Ingegneria aerospaziale, navale e della qualità
Ciclo di dottorato: 26
Coordinatore del Corso di dottorato:
nomeemail
De Luca, Luigideluca@unina.it
Tutor:
nomeemail
Miranda, SalvatoreUNSPECIFIED
Palumbo, BiagioUNSPECIFIED
Date: 31 March 2014
Number of Pages: 105
Uncontrolled Keywords: Ship Energy Efficiency Stepped Hull Regression Analysis Design of Experiments Towing Tank Test Performance Monitoring
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-IND/01 - Architettura navale
Area 13 - Scienze economiche e statistiche > SECS-S/02 - Statistica per la ricerca sperimentale e tecnologica
Aree tematiche (7° programma Quadro): TECNOLOGIE DELL'INFORMAZIONE E DELLA COMUNICAZIONE > Ambiente, energia e trasporti
ENERGIA > Efficienza e risparmi energetico
TRASPORTI (INCLUSO AERONAUTICA) > Trasporti di superficie sostenibili
Additional Information: Ho firmato la clausula di riservatezza cartecea per posticipare la libera pubblicazione di 36 mesi. Non trovo all'interno della procedura telematica nessuna opzione per fere ciò.
Date Deposited: 07 Apr 2014 12:37
Last Modified: 23 May 2017 01:00
URI: http://www.fedoa.unina.it/id/eprint/9817

Abstract

The main goal of the Ph.D. dissertation is to underline how a statistical approach in the planning and executive phases of the experimental activities, as well as the monitoring of complex systems can both bring real innovations in the maritime field and a higher efficiency in the results. After drawing up the Kyoto protocol, the International Maritime Organization (IMO), the UN Agency in charge for legal questions dealing with the maritime sector, has approved and ratified many measures to reduce the CO2 emissions of ships. For this reason since January 1st, 2013 a higher energy efficiency for ships is required, to be achieved through design and operation choices. During the study for the dissertation it could be shown how the application of appropriate statistical frameworks allowed to meet the goals of recent requirements. In the design step the experiment planning allowed to give designers of high speed crafts information about geometrical details of the stepped hulls. Moreover, the Design Phase has shown the strategic role that a systematic approach to planning for a design industrial experiment plays in technological process innovation. The team approach is the real driving force of pre-experimental activities. In order to predict fuel consumption and therefore carbon dioxide emission by exploiting the navigation information usually available on modern ships, a statistical model is introduced based on multiple regression analysis. For each voyage the actual fuel consumption can be compared with the consumption prediction and the prediction limits obtained through the proposed model. If the prediction interval does not included the actual fuel consumption, the management would be alerted of any change (improvement/decrease) in ship performance or the possible need for further data analysis. In fact, only with a proper and continuous monitoring of specific variables, it is possible to support sail management in making decisions. In the Operation Phase, the statistical approach presented in this thesis helps practitioners to exploit navigation information usually available on modern ships in order to predict fuel consumption, and therefore CO2 emissions, for given specific set of sailing parameters. Using these models it is possible to estimate both the reduction of fuel consumption through the improvement in energy efficiency and to estimate the CO2 emissions which is useful to get the carbon credit. During the Ph.D. a new experimental proof protocol in the towing tank test was developed: a method for the measurement of the thrust of outboard marine engines, an innovative type of construction for propeller, boat appendages and clear composite hulls to see the water flows during the experiments in the towing tank test. In this study we have shown how engineering and statistical knowledge can be integrated, how it catalyses process innovation, and, moreover how, it allows an effective cycle of step-by-step learning to be implemented in order to produce a significant improvement of the ship energy efficiency via design of experiments and regression analysis.

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