Analyzing the Total Resistance and Wave Pattern of Purse Seine Vessels with Photovoltaic-Powered

Abstract

With 64.97% of its territory consisting of sea, Indonesia is one of the world's largest maritime nations and 
produces approximately 8.02 million tons of fish annually. Traditional fishing vessels play a crucial role in 
supporting livelihoods, yet their design is often based on hereditary methods rather than hydrodynamic 
optimization. This study uses catamaran hull forms as a design reference to analyze the total resistance and 
wave patterns of purse seine vessels with photovoltaic-powered systems. Computational methods are 
employed to predict vessel performance efficiently. The resistance analysis applies the Slender Body approach 
and Savitsky's mathematical model, supported by comparative studies for validation. Particular attention is 
given to the influence of chine configurations on resistance characteristics and wave formation. Results indicate 
that the addition of chines increases the Froude number and contributes to reducing total resistance. Among 
the variations, single chine geometry demonstrates the lowest resistance, making it the most efficient 
configuration for catamaran fishing vessels. While chine modifications affect the wave pattern, the hull 
maintains a relatively clean wake distribution. These findings highlight the potential for improving vessel 
design through careful chine geometry optimization combined with computational modeling. The study 
underscores the importance of modern hydrodynamic analysis in advancing traditional fishing vessels toward 
higher efficiency and sustainability. Future research is recommended to incorporate more advanced 
computational approaches, such as Computational Fluid Dynamics (CFD), examine water-hull interactions and 
enhance vessel performance under operational conditions.