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Planning vessel air emission regulations compliance under uncertainty

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Planning vessel air emission regulations compliance under uncertainty. / Balland, Oceane; Erikstad, Stein Ove; Fagerholt, Kjetil et al.
In: Journal of Marine Science and Technology, Vol. 18, No. 3, 09.2013, p. 349-357.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Balland, O, Erikstad, SO, Fagerholt, K & Wallace, SW 2013, 'Planning vessel air emission regulations compliance under uncertainty', Journal of Marine Science and Technology, vol. 18, no. 3, pp. 349-357. https://doi.org/10.1007/s00773-013-0212-7

APA

Balland, O., Erikstad, S. O., Fagerholt, K., & Wallace, S. W. (2013). Planning vessel air emission regulations compliance under uncertainty. Journal of Marine Science and Technology, 18(3), 349-357. https://doi.org/10.1007/s00773-013-0212-7

Vancouver

Balland O, Erikstad SO, Fagerholt K, Wallace SW. Planning vessel air emission regulations compliance under uncertainty. Journal of Marine Science and Technology. 2013 Sept;18(3):349-357. doi: 10.1007/s00773-013-0212-7

Author

Balland, Oceane ; Erikstad, Stein Ove ; Fagerholt, Kjetil et al. / Planning vessel air emission regulations compliance under uncertainty. In: Journal of Marine Science and Technology. 2013 ; Vol. 18, No. 3. pp. 349-357.

Bibtex

@article{9a9d48e92d2448618c188fddbe909626,
title = "Planning vessel air emission regulations compliance under uncertainty",
abstract = "In this paper we consider the reduction of air emissions from vessels when uncertainty is taken into account. Uncertainty in the reduction effects of the different existing air emission controls is currently high and makes their selection for vessel emission regulations compliance a challenging process. We develop a two-stage stochastic optimization model that addresses this uncertainty. The model{\textquoteright}s objective is to plan the installation of air emission controls over a specified time horizon for a vessel to comply in the most cost-efficient way with the air emission regulations. The uncertain reduction effects of the controls are modelled by a set of scenarios. The approach is applied to a case study with real data. The solution exposes the important impact of uncertainty on this problem, especially on the SO X reduction, while the CO2 reduction plan seems in this case not affected by uncertainty.",
keywords = "Maritime pollution, Air emissions, Optimization, Uncertainty",
author = "Oceane Balland and Erikstad, {Stein Ove} and Kjetil Fagerholt and Wallace, {Stein W.}",
year = "2013",
month = sep,
doi = "10.1007/s00773-013-0212-7",
language = "English",
volume = "18",
pages = "349--357",
journal = "Journal of Marine Science and Technology",
issn = "0948-4280",
publisher = "Springer Japan",
number = "3",

}

RIS

TY - JOUR

T1 - Planning vessel air emission regulations compliance under uncertainty

AU - Balland, Oceane

AU - Erikstad, Stein Ove

AU - Fagerholt, Kjetil

AU - Wallace, Stein W.

PY - 2013/9

Y1 - 2013/9

N2 - In this paper we consider the reduction of air emissions from vessels when uncertainty is taken into account. Uncertainty in the reduction effects of the different existing air emission controls is currently high and makes their selection for vessel emission regulations compliance a challenging process. We develop a two-stage stochastic optimization model that addresses this uncertainty. The model’s objective is to plan the installation of air emission controls over a specified time horizon for a vessel to comply in the most cost-efficient way with the air emission regulations. The uncertain reduction effects of the controls are modelled by a set of scenarios. The approach is applied to a case study with real data. The solution exposes the important impact of uncertainty on this problem, especially on the SO X reduction, while the CO2 reduction plan seems in this case not affected by uncertainty.

AB - In this paper we consider the reduction of air emissions from vessels when uncertainty is taken into account. Uncertainty in the reduction effects of the different existing air emission controls is currently high and makes their selection for vessel emission regulations compliance a challenging process. We develop a two-stage stochastic optimization model that addresses this uncertainty. The model’s objective is to plan the installation of air emission controls over a specified time horizon for a vessel to comply in the most cost-efficient way with the air emission regulations. The uncertain reduction effects of the controls are modelled by a set of scenarios. The approach is applied to a case study with real data. The solution exposes the important impact of uncertainty on this problem, especially on the SO X reduction, while the CO2 reduction plan seems in this case not affected by uncertainty.

KW - Maritime pollution

KW - Air emissions

KW - Optimization

KW - Uncertainty

U2 - 10.1007/s00773-013-0212-7

DO - 10.1007/s00773-013-0212-7

M3 - Journal article

VL - 18

SP - 349

EP - 357

JO - Journal of Marine Science and Technology

JF - Journal of Marine Science and Technology

SN - 0948-4280

IS - 3

ER -