Dynamic calculation of ship exhaust emissions based on real-time AIS data

Journal article (2020)

Authors

L. Huang Wuhan University of Technology

Y. Wen Wuhan University of Technology

Y. Zhang Wuhan University of Technology

Chunhui Zhou Wuhan University of Technology

F. Zhang Wuhan University of Technology, School of Navigation

Tiantian Yang Wuhan University of Technology

Affiliation

External organisation

Ship exhaust emission AIS data stream Dynamic inventory Real-time calculation

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Published Date

2020

Language

English

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Abstract

The activity-based methodology is becoming an increasing way to calculate exhaust emissions from ships in a port. Existing studies make great effort to build and analyze ship emission inventory in a variety of ports by applying this method to historical ship trajectory data. This kind of static emission inventory however, cannot meet the needs of real-time ship emission monitoring. This article proposes a method of dynamic calculation of ship exhaust emissions based on real-time ship trajectory data. Firstly, real-time ship AIS messages are partitioned into continuous data blocks and go through a series of pre-processing operations, including trajectory extraction, association and interpolation. Ship activity parameters are then determined by database querying and regression analysis based on ship attributes. Subsequently, an improved activity-based methodology is employed to estimate exhaust emissions from ships in a distributed way. Based on the grid model, regional ship exhaust emissions can be statistically and dynamically calculated by the spatial allocation of all ship emissions. In a case study, a real-time monitoring platform for ship exhaust emissions in Shenzhen port is developed to demonstrate the effectiveness of the proposed method.