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Minimizing greenhouse gas emissions from ships using a Pareto multi-objective optimization approach

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Języki publikacji
EN
Abstrakty
EN
To confront climate change, decarbonization strategies must change the global economy. According to statements made as part of the European Green Deal, maritime transport should also become drastically less polluting. As a result, the price of transport must reflect the impact it has on the environment and on health. In such a framework, the purpose of this paper is to suggest a novel method for minimizing emissions from ships, based on so-called Pareto multi-objective optimization. For a given voyage by a ship, the problem is to minimize emissions on the one hand and minimize fuel consumption or passage time on the other. Minimizing emissions is considered as the preferred objective. Therefore, the objective of minimizing fuel consumption or passage time needs to be reformulated as a constraint. Solving such a problem consists of finding most favourable path and speed for the ship and satisfying the optimization criteria. Relatively new systems such as hybrid diesel–electric systems have the potential to offer significant emissions benefits. A hybrid power supply utilizes the maximum efficiency of the direct mechanical drive and the flexibility of a combination of combustion power from the prime mover and stored power from energy storage from an electrical supply, at part load and overload. A new report by the American Bureau of Shipping suggests that maritime transport is likely to meet the International Maritime Organization’s target by 2030, solely by using current technology and operational measures. However, this would not be enough to attain the target of reducing CO2 emissions by 2050 by at least 50% compared to 2008. New technologies and operational methods must be applied.
Rocznik
Tom
Strony
96--101
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
  • Gdańsk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland
Bibliografia
  • 1. J. Attali, ‘Non à la decroissance, oui a une tout autre economie’, Les Echos, 10 October 2019.
  • 2. IPCC (Intergovernmental Panel on Climate Change), ‘Special report on the impacts of global warming of 1.5°C’. https://www.ipcc.ch/sr15/download/ (access 28.02.2021).
  • 3. EU, ‘Communication on The European Green Deal’, 11 December 2019. https://ec.europa.eu/info/publications/ communication-european-green-deal_en (access 28.02.2021).
  • 4. IMC. International Convention for the Prevention of Pollution from Ships (MARPOL), Annex VI. http://library. arcticportal.org/1699/ (access 28.02.2021).
  • 5. H.N. Psaraftis, ‘Speed optimization vs speed reduction: The choice between speed limits and a bunker levy’, Sustainability. 2019, 11, pp. 3-18.
  • 6. M.T. Emmerich and A.H. Deutz, ‘A tutorial on multiobjective optimization: Fundamentals and evolutionary methods’, Natural Computing. 2018, 17, pp. 585-609.
  • 7. R.D. Geertsma, R.R. Negenborn, K. Visser, and J.J. Hopman, ‘Design and control of hybrid power and propulsion systems for smart ships: A review of developments’, Applied Energy. 2017, 194, pp. 30-54.
  • 8. J. Szlapczynska, ‘Multi-objective weather routing with customized criteria and constraints’, The Journal of Navigation. 2015, 68(2), pp. 338-354.
  • 9. M. Zyczkowski, J. Szlapczynska, R. Szlapczynski, ‘Review of weather forecast services for ship routing’, Polish Maritime Research. 2019, 4(104), pp. 80-89.
  • 10. G. Plevrakis, ‘Setting the course to low-carbon shipping’, Maritime Reporter and Engineering News. June 2020.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1b7519f2-8db6-4111-879c-a41967361554
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