Optimization of Propulsion and Energy Systems on Remote-Controlled Platform Supply Vessel "Rex Maris”

Authors

  • Nathaniel Slim Reuven STMKG Author
  • Muhammad Ramdhani Setyo Nugroho Author
  • Yobel Eliezer Mahardika Author
  • Panji Kuswanaji Author
  • Anton Widodo Author

DOI:

https://doi.org/10.63581/JoCPES.v6i1.04

Keywords:

Propulsive efficiency, Hull design, Remote control system, Monohull, Ship propulsion

Abstract

This study presents the design and optimization of an electronic remote-controlled Platform Supply Vessel (Rex Maris), integrating systematic hull optimization with unmanned propulsion control. Principal dimensions were determined via regression analysis of reference vessels; four hull variants were evaluated using Maxsurf hydrodynamic simulation to minimize resistance. The selected monohull design achieved 15% resistance reduction (total resistance = 14.73 N at design speed Vs = 10 m/s) yielding Effective Horsepower of 147.3 W. Comprehensive propulsion calculations incorporating hull efficiency (ηH = 0.67), propeller efficiency (ηo = 0.35), and relative rotative efficiency (ηrr = 1.0) yielded propulsive coefficient Cp = 0.23 and overall propulsive efficiency of 0.67 - 0.70, exceeding conventional PSV benchmarks (0.55–0.65). Energy analysis indicates 8% fuel consumption reduction while maintaining full remote control operability via 7-channel 2.4 GHz wireless system. Results demonstrate that integration of remote control technology does not impose propulsive penalties when coupled with hull optimization, addressing the research gap in electronic remote-controlled support vessels for Indonesian offshore operations.

   

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Published

30-04-2026

Data Availability Statement

The data generated and analyzed during the this study are not publicly available as they form part of an ongoing research project but are available from the corresponding author upon reasonable request.

How to Cite

Optimization of Propulsion and Energy Systems on Remote-Controlled Platform Supply Vessel "Rex Maris”. (2026). Journal of Computation Physics and Earth Science (JoCPES), 6(1). https://doi.org/10.63581/JoCPES.v6i1.04

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