Maritime Analytics for Research and Innovation on Noise and Energy – Tool (MARINE-T): Methods and Validation

Details

• Creators:
  Flynn, Dan F.B. ; Zhang, Kevin ; Loesch, Brandon ; Sudderth, Erika A. ; Herman, Arielle ; Ledvina, Kirby ; Lewis, Kristin C. ; Tripp, Lyle ; Yun, Jaewoong ; Drake, Juwon ; Ahearn, Meghan ; Boeker, Eric
• Corporate Creators:
  John A. Volpe National Transportation Systems Center (U.S.)
• Corporate Contributors:
  United States Department of Energy Bioenergy Technologies Office
• Subject/TRT Terms:
  Fuel Burn Fuels Marine Fuel Noise Vessel Energy Vessel Noise Vessel Operations Water Transportation
• Publication/ Report Number:
  DOT-VNTSC-USDOE-26-01
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Corporate Publisher:
  John A. Volpe National Transportation Systems Center (U.S.)
• Abstract:
  The Volpe National Transportation Systems Center has developed the Maritime Analytics for Research and Innovation on Noise and Energy – Tool (MARINE-T) to quantify and spatially map fuel use, energy consumption, and underwater radiated noise from U.S. maritime vessels. MARINE-T employs a bottom-up modeling approach integrating vessel movement data from Automatic Identification System (AIS) records with vessel characteristics to estimate outputs at consistent spatial and temporal scales. The tool supports analytical priorities of the U.S. Department of Energy and U.S. DOT Maritime Administration by enabling assessment of relationships between transportation efficiency and underwater noise, and identifying potential synergies for economic competitiveness. Primary outputs include gridded maps of fuel burn and noise source levels across the U.S. Exclusive Economic Zone, along with a dashboard providing visual and tabular summaries by vessel type, geographic region, and time period. Current capabilities use an inventory approach and source level noise metrics. Scenario analysis capabilities allow evaluation of operational, technological, and fueling interventions. This document outlines methods for the fuel burn components of the model and validation outputs; noise components of the model will be described in a separate report. Validation against IMO Data Collection System fuel reports shows estimation accuracy within 6% for large vessel movements. MARINE-T provides a robust decision-support resource for promoting maritime transportation efficiency and economic competitiveness.
• Format:
  PDF
• Collection(s):
  Volpe Center
• Main Document Checksum:
  urn:sha-512:cda19f416c6ccce29359659c88d61551da4c30278db363a28c4d6afda26ba3ce9bf69a3d61e9b6b6b9123e93ce898be711b86ae09647d879f5a953b6722fda56
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88875/dot_88875_DS1.pdf
• File Type:
  [PDF - 1.43 MB ]