This study investigates the motion characteristics of a modularised floating solar farm in waves using computational fluid-structure interaction simulations. The modularised system, composed of discrete floaters connected by hinges and rods, is analyzed to understand its response to wave forces. A key parameter, the ratio of structure length to wavelength (R = L_s / λ), is identified as crucial for predicting the motion of large floating solar systems in head waves. The results show that vertical motions are significantly influenced by R, with empirical relationships established between R and the motion of each unit in the array. Comparisons between the multiple-rigid-bodies method and the single-large-hydroelastic-body method reveal similar results when R > 1, enabling the use of a simplified hydroelastic approach to predict multi-hinged body behavior in waves. The study highlights the importance of considering wave interactions in the design and optimization of modularised solar farms, particularly for long-term durability. The modularised design offers advantages such as scalability, ease of assembly, and reduced hydroelastic issues compared to integrated structures. The research also addresses the challenges of wave-induced structural stability in nearshore and deep-sea environments, where wind and wave effects can impact the performance of floating solar systems. The study uses a computational model based on potential flow theory and multi-body dynamics to simulate the motion of the modularised solar farm. The model incorporates the effects of connection joints and mooring lines, and its results are validated against existing studies. The findings indicate that the motion characteristics of the modularised system can be predicted using the R value, which relates the structure's length to the wavelength. When R > 1, the system can be approximated as a continuous hydroelastic system, simplifying the analysis of complex multi-body dynamics. The study also explores the potential of using a large hydroelastic body to represent multiple rigid bodies, demonstrating that the discretised articulated body approach can exhibit continuum behaviors. The results show that the deflection curves of the three conceptual frameworks (elastic beam, discretised beam model, and rigid-hinge body) converge as the number of rigid modulus elements increases, indicating the effectiveness of the simplified approach. The study concludes that modularised floating solar farms can benefit from a modular design to mitigate wave-induced structural issues. The findings support the use of the R value in predicting the motion characteristics of the system, and the results suggest that future research should focus on structural resonance, extreme loading, and wave energy dissipation. The study also highlights the need for further research into nonlinear mooring dynamics to address the limitations of the simplified linear spring mooring system in extreme conditions.This study investigates the motion characteristics of a modularised floating solar farm in waves using computational fluid-structure interaction simulations. The modularised system, composed of discrete floaters connected by hinges and rods, is analyzed to understand its response to wave forces. A key parameter, the ratio of structure length to wavelength (R = L_s / λ), is identified as crucial for predicting the motion of large floating solar systems in head waves. The results show that vertical motions are significantly influenced by R, with empirical relationships established between R and the motion of each unit in the array. Comparisons between the multiple-rigid-bodies method and the single-large-hydroelastic-body method reveal similar results when R > 1, enabling the use of a simplified hydroelastic approach to predict multi-hinged body behavior in waves. The study highlights the importance of considering wave interactions in the design and optimization of modularised solar farms, particularly for long-term durability. The modularised design offers advantages such as scalability, ease of assembly, and reduced hydroelastic issues compared to integrated structures. The research also addresses the challenges of wave-induced structural stability in nearshore and deep-sea environments, where wind and wave effects can impact the performance of floating solar systems. The study uses a computational model based on potential flow theory and multi-body dynamics to simulate the motion of the modularised solar farm. The model incorporates the effects of connection joints and mooring lines, and its results are validated against existing studies. The findings indicate that the motion characteristics of the modularised system can be predicted using the R value, which relates the structure's length to the wavelength. When R > 1, the system can be approximated as a continuous hydroelastic system, simplifying the analysis of complex multi-body dynamics. The study also explores the potential of using a large hydroelastic body to represent multiple rigid bodies, demonstrating that the discretised articulated body approach can exhibit continuum behaviors. The results show that the deflection curves of the three conceptual frameworks (elastic beam, discretised beam model, and rigid-hinge body) converge as the number of rigid modulus elements increases, indicating the effectiveness of the simplified approach. The study concludes that modularised floating solar farms can benefit from a modular design to mitigate wave-induced structural issues. The findings support the use of the R value in predicting the motion characteristics of the system, and the results suggest that future research should focus on structural resonance, extreme loading, and wave energy dissipation. The study also highlights the need for further research into nonlinear mooring dynamics to address the limitations of the simplified linear spring mooring system in extreme conditions.