An empirical analysis on the operational profile of liquefied natural gas carriers with steam propulsion plants

Gutiérrez, Carlos González; Fuente, Santiago Suárez de la; Bonello, Jean-Marc; Bucknall, Rwg

doi:10.1017/s0373463320000612

Cited by 3 publications

(5 citation statements)

References 36 publications

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“…A comprehensive explanation of the method and the parameters employed for data processing can be found in González Gutiérrez et al (2020).…”

Section: Data Sourcesmentioning

confidence: 99%

Atmospheric Emissions Assessment for LNG Carriers: A State-of-the-Art Semi-Empirical Methodology

Gutiérrez,

Martinez,

de Navamuel

et al. 2024

Preprint

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This research establishes an extensive set of algorithms for the precise evaluation of fuel consumption across a range of engine types and systems onboard LNG carriers (LNGCs). The principal objective of this research is the development of a modern, universally applicable, and refined methodology tailored to LNGCs. This methodology encompasses the comprehensive calculation of both fuel consumption and atmospheric emissions, accommodating the variability in engine configurations. Furthermore, the integration of empirical data derived from 73 operational LNGCs yields a meticulously crafted operational profile. This consequential outcome of our study carries significant implications for addressing forthcoming modelling complexities specific to LNGCs.

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“…A comprehensive explanation of the method and the parameters employed for data processing can be found in González Gutiérrez et al (2020).…”

Section: Data Sourcesmentioning

confidence: 99%

Atmospheric Emissions Assessment for LNG Carriers: A State-of-the-Art Semi-Empirical Methodology

Gutiérrez,

Martinez,

de Navamuel

et al. 2024

Preprint

Self Cite

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“…-Various types of tankers still need the assistance of their boiler to fulfil their thermal needs, hence these ships still have a boiler power output while at sea (Baldi, et al, 2018;González Gutiérrez, C. et al, 2020).…”

Section: B)mentioning

confidence: 99%

“…This assumption could be updated in future studies given that the amount of pilot fuel needed varies with engine load. The steam turbines SFC assumptions are taken from sources from the forthcoming study on steam-power LNG carriers by González Gutiérrez et al (2020).…”

Section: Baseline Specific Fuel Consumptionmentioning

confidence: 99%

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The shipping industry looks for green fuels

Jacoby¹

2022

C&EN

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Highlights Emissions inventory -2 Fourth IMO GHG Study 2020 Table 1 -Total shipping and voyage-based and vessel-based international shipping CO 2 emissions 2012-2018 (million tonnes) Year Global anthropogenic CO 2 emissions Total shipping CO 2 Total shipping as a percentage of global Voyage-based International shipping CO 2 Voyage-based International shipping as a percentage of global Vessel-based International shipping CO 2 Vessel-based International shipping as a percentage of global 2012 34,793 962 2.76% 701 2.01% 848 2.44%Table 2 -Estimates on carbon intensity of international shipping and percentage changes compared to 2008 values Year EEOI (gCO 2 /t/nm) AER (gCO 2 /dwt/nm) DIST (kgCO 2 /nm) TIME (tCO 2 /hr) Vessel-based Voyage-based Vessel-based Voyage-based Vessel-based Voyage-based Vessel-based Voyage-based Value Change Value Change Value Change Value Change Value Change Value Change Value Change Value Change 2 2008 to 2014 -emissions reduction (CO 2 e) in spite of growth in demand (UNCTAD), and therefore a period of rapid carbon intensity reduction (EEOI and AER) that enabled decoupling of emissions from growth in transport demand. 3 2014 to 2018 -a period of continued but more moderate improvement in carbon intensity (EEOI and AER), but at a rate slower than the growth in demand (UNCTAD). And therefore, a return to a trend of growth in emissions (CO 2 e).This Study is the first IMO GHG Study able to produce GHG inventories that distinguish domestic shipping from international emissions, following a method that is exactly consistent with the IPCC guidelines and definitions in the view of the consortium. The method is enabled by advances in the use of AIS data to identify port calls which allows allocation of discrete voyages to a definition of either international or domestic shipping.Although it is too early to assess the impact of COVID-19 on emission projections quantitatively, it is clear that the emissions in 2020 and 2021 will be significantly lower. Depending on the recovery, the emissions in the next decades may be a few percent lower than projected, at most. In all, the impact of COVID-19 is likely to be smaller than the uncertainty range of the presented scenarios.2 Inventory of GHG emissions from international shipping 2012-2018 2.1 * As of January 2016, engines installed on new and modified vessels are subject to the Annex VI Tier III NO x standards while those engines are operating in the ECA. † Shapefiles made with publicly available Natural Earth data.* Based on type 1 and 2 vessels only. † These ship types are classified 'domestic' in the vessel-based method to distinguish domestic from international emissions. All other ship types are considered international in that option (see Table 15)

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“…The dominant usage of steam turbines nowadays is production of mechanical power and electric generators drive [1,2]. Such steam turbines can be found in conventional [3,4], nuclear [5,6], combined or cogeneration [7][8][9], marine [10][11][12], or various other power plants [13][14][15]. Also, steam turbines can be used for various other purposes instead of electric generator drive.…”

Section: Introductionmentioning

confidence: 99%

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction

et al. 2021

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This paper presents an exergy analysis of the whole turbine, turbine cylinders and cylinder parts in four different operating regimes. Analyzed turbine operates in nuclear power plant while three of four operating regimes are obtained by using optimization algorithms – SA (Simplex Algorithm), GA (Genetic Algorithm) and IGSA (Improved Genetic-Simplex Algorithm). IGSA operating regime gives the highest developed mechanical power of the whole turbine equal to 1022.48 MW, followed by GA (1020.06 MW) and SA (1017.16 MW), while in Original operating regime whole turbine develop mechanical power equal to 996.29 MW. In addition, IGSA causes the highest increase in developed mechanical power of almost all cylinders and cylinder parts in comparison to the Original operating regime. All observed optimization algorithms increases the exergy destruction of the whole turbine in comparison to Original operating regime - the lowest increase causes IGSA, followed by GA and finally SA. The highest exergy efficiency of the whole turbine, equal to 85.92% is obtained by IGSA, followed by GA (85.89%) and SA (85.82%), while the lowest exergy efficiency is obtained in Original operating regime (85.70%). Analyzed turbine, which operates by using wet steam is low influenced by the ambient temperature change. IGSA, which shows dominant performance in exergy analysis parameters of the analyzed turbine, in certain situations is overpowered by GA. Therefore, in optimization of steam turbine performance, IGSA and GA can be recommended.

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An empirical analysis on the operational profile of liquefied natural gas carriers with steam propulsion plants

Cited by 3 publications

References 36 publications

Atmospheric Emissions Assessment for LNG Carriers: A State-of-the-Art Semi-Empirical Methodology

Atmospheric Emissions Assessment for LNG Carriers: A State-of-the-Art Semi-Empirical Methodology

The shipping industry looks for green fuels

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction

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