## 2 Methodology
### Experimental Details
\begin{table}
\begin{tabular}{l l l} \hline \hline
**Sensor** & **Accuracy** & **Purpose** \\ \hline TRS605 & \(\pm 0.1\%\) & Evaluate driving torque and quantify turbine speed \\ ESCON50/5 & \(\pm 0.05\%\) & Maintain setpoint motor speed during testing \\ ACS712 & \(\pm 1.5\%\) & Measure electrical current through the system \\ DC0-25V & \(\pm 0.5\%\) & Measure voltage across the PMDC motor \\ SHT30 & \(\pm 0.3\) \({}^{\circ}\)C (temperature) & Monitor temperature and humidity inside the turbine nacelle \\ DHT22 & \(\pm 2\%\) (humidity), & Monitor temperature and humidity inside the turbine nacelle \\  & \(\pm 0.5\) \({}^{\circ}\)C (temperature) & Monitor temperature and humidity inside the turbine nacelle \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Summary of sensors used in the experimental setup, including accuracy and purpose. Figure 3: The electric instrument setup for the hydrokinetic turbine model contains various sensors and equipment to measure and control system parameters, including a TRS605 Rotational Force Sensor, an ESCON 50/5 servo controller, current and voltage sensors, and temperature/humidity sensors for comprehensive monitoring. installed on the model play a crucial role. These sensors, strategically placed within the turbine structure, continuously record data on key parameters such as torque, speed, and other relevant metrics. This real-time data acquisition enables a detailed analysis of the turbine's performance under different hydrodynamic conditions. * Data Collection and Analysis After the towing process is complete, the data collected from the sensors undergo thorough interpretation. This step involves analyzing the recorded parameters to assess the turbine's hydrodynamic performance. The data are scrutinized to identify patterns and correlations that provide insights into the efficiency and effectiveness of the turbine design. Parameters such as torque and power are critical indicators of the turbine's ability to convert kinetic energy from water flow into mechanical energy. By examining these metrics, we can evaluate the turbine's performance and identify areas for improvement. Depending on the results obtained from the experimental tests and data analysis, further testing may be necessary to refine and improve the turbine's design. If certain aspects of the turbine's performance need enhancement or if specific conditions require additional evaluation, iterative testing allows us to make necessary adjustments to the turbine model and reiterate the testing process. This iterative approach ensures continuous improvement and optimization of the turbine design. * Implications and Future Directions The comprehensive data collected during these experiments not only validate the current turbine design but also offer valuable insights for future improvements. By understanding the hydrodynamic characteristics of the turbine under various flow conditions, we can optimize the design for enhanced performance and efficiency. The iterative process of testing, data analysis, and design refinement is fundamental to advancing hydrokinetic turbine technology. Moreover, this experimental procedure establishes a standardized method for evaluating hydrokinetic turbines, contributing to the broader field of maritime engineering. Future work could involve testing different turbine configurations, materials, and sensor technologies to further enhance our understanding and the performance of hydrokinetic energy systems. Figure 4 provides a visual representation of the prototype turbine submerged in the towing tank, illustrating the experimental setup. The towing tank environment is carefully controlled to minimize external influences that could affect the results. This controlled environment ensures that the observed performance characteristics are solely attributable to the turbine design and the towing conditions.