Empirical testing of inventories applying on-board measurements of exhaust emissions at port and at sea

• Autorzy: Jahangiri S. , Nikolova N. , Tenekedjiev K.

Identyfikatory

DOI

10.14254/jsdtl.2018.3-2.1

• Języki publikacji: EN

Abstrakty

EN

We present a comprehensive case study to identify the best vessel-specific inventory family that predicts the primary emissions from an ocean-going vessel when at berth, while maneuvering and while cruising. The main purpose of the paper is to generalize the implication of the case study by advising a novel policy, which will allow different authorities to estimate the shipping emissions in a cost-effective and reliable way. The emissions rates of nitrogen oxides, sulphur oxides, carbon dioxide, carbon monoxide, hydrocarbon, and particulate matter from the main engine and from the auxiliary engines are measured for different modes of ship operations in an on-board experiment campaign. The measured total emission amounts were predicted with 13 families of emission inventories and prediction deviations have been calculated. A procedure was advised for estimating the prediction inventory deviations of the combined hourly emission amounts from the main engine plus the auxiliary engines. Each inventory family has been formalized as a six-dimensional vector of prediction deviations for any mode of operation. The best vessel-specific inventory families were identified using the minimal mean absolute deviation criteria. A more rational procedure to rank inventories is considered, which treats the missing value problem and constructs a six-attribute value function. The use of preferential analysis and value functions further clarifies the recommended choice of inventory method. In this case study we demonstrated that the most suitable inventory families will provide reliable predictions with acceptable deviations from the measured emissions. At berth and for maneuvering, the best inventory family turned out to be MOPSEA (with 32.2 % and 39.6 % mean absolute deviations respectively). For cruising, the most precise inventory family is MEET (with 59.2% mean absolute deviation), whereas MOPSEA being the third best. However, some of the other inventories produce unacceptably high deviation, well above 100%. The practical implication is that while inventory methods can produce precise and cost-effective predictions, they should never be used without experimental verification. That is why, we provide an algorithm to use on-board experimental measurements to identify the best vessel-specific inventory family, which predicts the primary emission of a ship at a given mode of operation. The proposed algorithm and the implications of the case study are utilized to motivate a proposal for a novel future policy for a cost-effective and reliable emission estimation from shipping.

Słowa kluczowe

EN

emission pollution in ports; emission inventory; on-board measurement; experimental ranking of inventory procedures; additive value functions

• Wydawca: Fundacja Centrum Badań Socjologicznych ; Scientific Publishing House "SciView"
• Czasopismo: Journal of Sustainable Development of Transport and Logistics
• Rocznik: 2018
• Tom: Vol. 3, No. 2
• Strony: 6--33
• Opis fizyczny: Bibliogr. 62 poz., tab., wykr., wzory

Twórcy

autor

Jahangiri S.

• Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia

autor

Nikolova N.

• Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia
• Nikola Vaptsarov Naval Academy, Varna, Bulgaria

autor

Tenekedjiev K.

• Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia
• Nikola Vaptsarov Naval Academy, Varna, Bulgaria

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Uwagi

EN

1. The authors would like to express special thanks to the National Centre for Maritime Engineering and Hydrodynamic of the Australian Maritime College (University of Tasmania), as well as to our colleagues from the Queensland University of Technology – Thuy Chu Van, Richard Brown and Zoran Ristovski – for the strong support of this study. We also acknowledge and express gratitude to the Port of Brisbane Corporation for their generous cooperation, as well as to Maritime Safety Queensland and to stevedore operators AAT, Patricks and DP World for their contribution to this study.

PL

2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).