Evaluating methods for marine fuel sulfur content using microsensor sniffing systems on ocean-going vessels
Shiyi Yang1, Meisam Ahmadi Ghadikolaei1, Nirmal Kumar Gali1
1Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
The Science of the Total Environment
|June 6, 2024
Summary
A Unmanned Aerial Vehicle (UAV)-based Microsensor Sniffing System (MSS) effectively monitors fuel sulfur content (FSC) in emission control areas (ECAs). This system shows promise for real-time enforcement of marine emission regulations.
Area of Science:
- Environmental Science and Engineering
- Atmospheric Chemistry and Monitoring
- Marine Pollution Control
Background:
- Emission Control Areas (ECAs) are crucial for reducing marine air pollution.
- Effective enforcement of ECA policies relies on accurate monitoring of fuel sulfur content (FSC) in ocean-going vessels (OGVs).
- Existing FSC detection methods have limitations, necessitating advancements in real-time monitoring.
Purpose of the Study:
- To develop and evaluate a comprehensive methodology for an Unmanned Aerial Vehicle (UAV)-based Microsensor Sniffing System (MSS) for real-time FSC monitoring.
- To enhance the performance of the MSS through improved sensor calibration, field operations, and data analysis protocols.
- To assess the system's effectiveness in a real-world setting, specifically in Hong Kong waters, against regulatory caps.
Main Methods:
- Development of a UAV-based MSS with refined sensor calibration, field operation protocols, and data analysis techniques.
- Field deployment in Hong Kong waters for land-based and sea-based measurements.
- Verification of three FSC calculation methods against Bunker Delivery Note (BDN) data using blind testing.
Main Results:
- The MSS demonstrated effectiveness in field monitoring, despite a tendency for underestimation.
- Absolute errors compared to BDN data were 0.06%, 0.11%, and 0.10% for Crest, Slope, and Area methods, respectively.
- Over 16 trips, 125 OGVs showed a mean FSC of 0.39%, with a lognormal distribution approaching the 0.5% regulatory cap; high errors correlated with low CO2/SO2 peaks.
Conclusions:
- The UAV-based MSS shows significant potential for monitoring and enforcing FSC regulations within ECAs.
- The study provides a systematic protocol to guide future research and practical enforcement of marine emission standards.
- Further refinement is needed to address underestimation tendencies and improve accuracy with low peak signals.
Related Concept Videos
01:19Gas Chromatography: Types of Detectors-II
362
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
362
01:18Sampling Methods: Sample Types
214
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
214