Optimal ship lifetime fueland power system selection under uncertainty

Benjamin Lagemann; Sotiria Lagouvardou; Elizabeth LindstadKjetil FagerholtHarilaos N. PsaraftisStein Ove Erikstad

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Optimal ship lifetime fueland power system selection under uncertainty

机译：Optimal ship lifetime fueland power system selection under uncertainty

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Ship designers face increasing pressure to comply with global emission reduction ambitions. Alternative fuels, potentially derived from bio-feedstock or renewable electricity, provide promising solutions to this problem. The main challenge is to identify a suitable ship power system, given not only uncertain emission requirements but also uncertain fuel and carbon emission prices. We develop a two-stage stochastic optimization model that explicitly considers uncertain fuel and carbon emission prices, as well as potential retrofits along the lifetime. The bi-objective setup of the model shows how the choice of optimal power system changes with reduced emission levels. Methanol and LNG configurations appear to be relatively robust initial choices due to their ability to run on fuel derived from different feedstocks, and their better retrofitt-ability towards ammonia or hydrogen. From a policy perspective, our model provides insight into the effect of the different types of carbon pricing mechanisms on a shipowner's decisions.

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《Transportation research, Part D. Transport and environment》 |2023年第6期|103748.1-103748.18|共18页
作者
Benjamin Lagemann; Sotiria Lagouvardou; Elizabeth LindstadKjetil FagerholtHarilaos N. PsaraftisStein Ove Erikstad;
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作者单位

Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Norway;

Department of Technology, Management and Economics, Technical University of Denmark (DTU), Denmark;

SINTEF Ocean AS, NorwayDepartment of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), Norway;

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原文格式 PDF
正文语种英语
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Shipping; Greenhouse gas emissions; Alternative fuels; Stochastic optimization; Flexibility; Retrofit;

Optimal ship lifetime fueland power system selection under uncertainty

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