The purpose of this work is to investigate the effect of environmental variables on the electric energy expenditure of a typical surface warship. Studies with similar objectives are much more frequent for merchant ships, but warship operations have peculiarities that will be emphasised. In particular, they spend large fractions of their life cycle at port, during which the vessel remains active. First, a discussion of the embarked systems is presented, pointing out the importance of auxiliary systems and, in particular, heating, ventilation and air conditioning. Quantitative estimates of the energy consumption of those systems are provided. Then, using data taken during real operations of a frigate of the Spanish Navy, correlations are computed between power consumption and different environmental variables. As a novelty, the analysis is carried out separating the different modes of operation of the ship. This leads to interesting conclusions, including a considerable positive correlation between seawater temperature and fuel consumption when the vessel is in port. The effect of a moored ship on the surrounding seawater temperature is studied by a numerical computation. The results suggest that the position of sea chests may be consequential for energy efficiency.
SharifiYGhassemiHZanganehH. Various innovative technologic devices in shipping energy saving and diminish fuel consumption. Int J Phys2017; 5(1): 21–29.
JafarzadehSUtneIB. A framework to bridge the energy efficiency gap in shipping. Energy2014; 69: 603–612.
4.
PapanikolaouAZaraphonitisGBitner-GregersenE, et al. Energy efficient safe ship operation (SHOPERA). Transp Res Proc2016; 14: 820–829.
5.
ArceMESaavedraÁMíguezJL, et al. The use of grey-based methods in Multi-Criteria Decision Analysis for the evaluation of sustainable energy systems: a review. Renew Sust Energ Rev2015; 47: 924–932.
6.
PattersonMG. What is energy efficiency? concepts, indicators and methodological issues. Energ Policy1996; 24(5): 377–390.
7.
FigariMD’AmicoMGaggeroP. Evaluation of ship efficiency indexes. In: RizzutoEGuedes SoaresC (eds) Sustainable maritime transportation and exploitation of sea resources, vol. 1. Boca Raton, FL: Routledge in association with GSE Research, 2011, pp.621–627.
8.
TranTA. A research on the Energy Efficiency Operational Indicator EEOI calculation tool on M/V NSU JUSTICE of VINIC transportation company, Vietnam. J Ocean Eng Sci2017; 2(1): 55–60.
9.
CoradduAFigariMSavioS. Numerical investigation on ship energy efficiency by Monte Carlo simulation. Proc IMechE, Part M: J Engineering for the Maritime Environment2014; 228(3): 220–234.
10.
MassimoMGuedes SoaresC. Fuel consumption and exhaust emissions reduction by dynamic propeller pitch control. Analysis and design of marine structures, 2009, pp.567–574. CRC Press.
11.
O’RourkeR. Electric-drive propulsion for U.S. Navy ships: background and issues for Congress. Washington, DC: Congressional Research Service, The Library of Congress, 2000.
12.
StepanchickJBrownA. Revisiting DDGX/DDG-51 concept exploration. Nav Eng J2007; 119(3): 67–88.
13.
YoungSNewellJLittleG. Beyond electric ship. Nav Eng J2001; 113(4): 79–92.
14.
O’RourkeR. Navy ship propulsion technologies: options for reducing oil use – background for Congress. Washington, DC: Congressional Research Service, The Library of Congress, 2006.
15.
TilligFRingsbergJMaoW, et al. A generic energy systems model for efficient ship design and operation. Proc IMechE, Part M: J Engineering for the Maritime Environment2017; 231(2): 649–666.
16.
BallouPJ. Ship energy efficiency management requires a total solution approach. Mar Technol Soc J2013; 47(1): 83–95.
17.
ReddyTA. 2011Applied data analysis and modeling for energy engineers and scientists. New York: Springer.
18.
CreutzigFBaiocchiGBierkandtR, et al. Global typology of urban energy use and potentials for an urbanization mitigation wedge. Proc Natl Acad Sci U S A2015; 112(20): 6283–6288.
19.
MuellerLJakobiGCzechH, et al. Characteristics and temporal evolution of particulate emissions from a ship diesel engine. Appl Energ2015; 155: 204–217.
20.
PereraLPMoB. Data analysis on marine engine operating regions in relation to ship navigation. Ocean Eng2016; 128: 163–172.
21.
BialystockiNKonovessisD. On the estimation of ship’s fuel consumption and speed curve: a statistical approach. J Ocean Eng Sci2016; 1(2): 157–166.
22.
LeporeAReisMSPalumboB, et al. A comparison of advanced regression techniques for predicting ship CO2 emissions. Qual Reliab Eng Int2017; 33(6): 1281–1292.
AndrewsD. The conflict between ship design and procurement policies. In: Proceedings of the warship 2018: procurement of future surface vessels (RINA proceedings), London, 11–12 September 2018. London: The Royal Institution of Naval Architects.
25.
BrefortDShieldsCJansenAH, et al. An architectural framework for distributed naval ship systems. Ocean Eng2018; 147: 375–385.
DoerryNMoniriK. Specifications and standards for the electric warship. In: Proceedings of the 2013 IEEE Electric Ship Technologies Symposium (ESTS), Arlington, VA, 22–24 April 2013, pp.21–28. New York: IEEE.
28.
DoerryN. Electric Power Load Analysis. ASNE Nav Eng J2012; 124(4): 45–48.
29.
Department of the Navy. Naval sea system command: DDS 310-1 Rev. 1 – Electric Power Load Analysis (EPLA). Washington, DC: Department of the Navy, 2012, http://doerry.org/norbert/papers/DDS310-1, Rev1. pdf
HernándezCRFernándezRArceME, et al. Análisis del ciclo de vida en Fragatas de la serie F-100. In: SernaJ, et al., (eds) Actas: IV Congreso Nacional de i+d en Defensa y Seguridad, DESEi+d, 2016. Spain: Centro Universitario de la Defensa de San Javier.
32.
OrosaJACostaÁMPérezJA. A new modelling procedure of the engine room ventilation system for work risk prevention and energy saving. Proc IMechE, Part M: J Engineering for the Maritime Environment2017; 231(4): 863–870.
33.
AkinJE. Finite element analysis concepts: via SolidWorks. Singapore: World Scientific, 2010.
34.
SaadY. Iterative methods for sparse linear systems, vol. 82. Philadelphia, PA: Society of Indian Automobile Manufacturers, 2003.
35.
De MarchisMFreniGNapoliE. Three-dimensional numerical simulations on wind- and tide-induced currents: the case of Augusta Harbour (Italy). Comput Geosci2014; 72: 65–75.
CøengelY. Heat and mass transfer: a practical approach. New York: McGraw-Hill, 2007.
38.
CelikIKaratekinO. Numerical experiments on application of Richardson extrapolation with nonuniform grids. J Fluid Eng1997; 119(3): 584–590.
39.
RichardsonLF. The approximate arithmetical solution by finite differences of physical problems involving differential equations, with an application to the stresses in a masonry dam. Phil Trans R Soc Lond A1911; 210(459–470): 307–357.
40.
RoachePJ. Verification and validation in computational science and engineering, vol. 895. Albuquerque, NM: Hermosa, 1998.
41.
RoachePJGhiaKNWhiteFM. Editorial policy statement on the control of numerical accuracy. J Fluid Eng1986; 108(1): 2–2.
42.
FalconerRYuG. Effects of depth, bed slope and scaling on tidal currents and exchange in a laboratory model harbour. Proc Inst Civ Eng1991; 91: 561–576.
43.
XieM-xZhangW. Numerical study on the three-dimensional characteristics of the tidal current around harbor entrance. J Hydrodyn: Ser B2010; 22(6): 847–855.
