Abstract
With the popularity of the electrification of marine transportation, strategic energy-saving and environment-friendly management is gaining more attention recently. This paper proposes a novel coordinated navigation routing and power generation scheduling model, which aims at making a compromise between investment cost, operation cost, and greenhouse gas emissions under the distributional robust ambiguity of photovoltaic. A maritime hybrid energy configuration that combines diesel generator (DG), battery energy storage system (BESS), fuel cell (FC), photovoltaic (PV), and the cold-ironing connection is presented with a real-world navigation routine from Dalian to Singapore, and the optimization problem is solved through a bi-level tri-objective differential evolution algorithm, where navigation parameters, ESS and FC capacity and weight between operation cost and emission functions, are optimized in the upper level and specific power generation scheduling is settled in the lower level. Six case studies are conducted to verify its effectiveness and accuracy, and the simulation results demonstrate the proposed method can further reduce the operation cost while minimizing air contamination.
Highlights
And MotivationThe global shipping industry has produced about 1 billion tons of greenhouse gas emissions per year from 2007 to 2018, acting as a major player in the global carbon emission, and it is estimated that if no actions are taken, the global greenhouse gas emission would triple by 2050 compared to 2007 (International Maritime Organization, 2015)
The ship can depart from Dalian and sail to Singapore directly, or the ship can pass through Qingdao and Shanghai as intermediate ports to Singapore, or else the ship can stop at all the ports along the route
A coordinated navigation routing and power generation scheduling problem is studied, which aims at making a compromise between total operation cost and greenhouse gas emissions under practical operation constraints of a ship
Summary
The global shipping industry has produced about 1 billion tons of greenhouse gas emissions per year from 2007 to 2018, acting as a major player in the global carbon emission, and it is estimated that if no actions are taken, the global greenhouse gas emission would triple by 2050 compared to 2007 (International Maritime Organization, 2015). The study of AES is generally categorized into two directions: planning and energy management strategies. The optimal routing of AESs is a typical procedure to reduce both carbon emissions and operation cost (Liu and Shang, 2017), and along the routing, the proper management of AESs among electricity and fuels, as the combination of diesel generators (DGs), energy storage systems (ESSs), fuel cells (FCs), photovoltaic (PV), and cold ironing, can further reduce the emissions significantly (Skjong et al, 2016). It is of great importance to harmonize a joint voyage planning and energy management scheduling to create a more environmentally friendly marine transportation industry
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