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Power models and average ship parameter effects on marine emissions inventories
Isabela N Brown1, Michael F Aldridge2
1a U.S. Environmental Protection Agency National Vehicle and Fuel Emissions Laboratory , Oak Ridge Institute for Science and Education research participant , Ann Arbor , MI , USA.
Journal of the Air & Waste Management Association (1995)
|February 23, 2019
Summary
Ship power models significantly impact maritime emissions inventories. Detailed models estimate lower emissions than simpler ones, while averaged ship data has minimal effect on overall CO2 calculations.
Area of Science:
- Environmental Science
- Marine Engineering
- Atmospheric Chemistry
Background:
- Maritime greenhouse gas emissions are rising, necessitating accurate inventory methods for policy analysis.
- Existing marine emissions inventories often use simplified ship power models, potentially overestimating emissions.
- The influence of different ship power estimation models and data averaging on emission inventories is under-researched.
Purpose of the Study:
- To investigate the impact of various ship power models on maritime emissions inventories.
- To assess the sensitivity of emission estimates to the use of averaged ship parameters.
- To compare complex resistance-based models with simpler load-factor-based models.
Main Methods:
- Utilized 6-month Automated Identification System (AIS) data for a fleet of commercial vessels.
- Employed two complex resistance-based and two simple load-factor-based ship power models.
- Calculated fleet-level carbon dioxide (CO2) emissions using unique and averaged ship parameter data.
Main Results:
- Ship power model choice significantly influences emission inventory outcomes.
- Complex, resistance-based models generally estimate lower propulsive power and emissions than load-factor models.
- Averaging ship parameters across types and subtypes had a minimal impact on overall fleet emissions.
Conclusions:
- The selection of ship power models is critical for accurate maritime emissions inventory development.
- Resistance-based models offer a more nuanced approach, potentially leading to more conservative emission estimates.
- Data averaging for ship characteristics has a low impact, suggesting flexibility in handling sparse registry data.
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