# Evaluation of Hydrogen Generation with Hybrid Renewable Energy Sources
## 3 Results and Discussion
### PV Panel Power Source
By analyzing these figures, researchers and stakeholders can gain insights into the seasonal variations in renewable energy production and hydrogen generation. This information is valuable for understanding the system's performance, assessing the impact of weather and climate on energy production, and optimizing the hydrogen production process. \begin{table}
\begin{tabular}{l l l l l l l} \hline \hline
**Month** & **Input Power kWh** & **Hydrogen Energy kWh** & **Electrolysis Efficiency** & **CF** & **kg H\({}_{2}\)** & **USD/kg H\({}_{2}\)** \\ \hline January & 197.480 & 155.566 & 79\% & 7\% & 3.733575 & 0.75 \\ \hline February & 142.614 & 117.076 & 82\% & 5\% & 2.8098125 & 1.75 \\ \hline March & 377.391 & 301.081 & 80\% & 14\% & 7.22595 & 1 \\ \hline April & 539.370 & 376.352 & 70\% & 19\% & 9.0324375 & 0.55 \\ \hline May & 119.729 & 103.710 & 87\% & 4\% & 2.48905 & 2.5 \\ \hline June & 105.254 & 75.270 & 72\% & 4\% & 1.8064875 & 2.5 \\ \hline July & 157.917 & 129.638 & 82\% & 6\% & 3.1113125 & 1.5 \\ \hline August & 157.917 & 129.638 & 82\% & 6\% & 3.1113125 & 1.5 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Summarized results of the simulation and cost analysis for the wind turbine power source. Figure 18: I-V curves for the PV panel used in the simulation. Figure 19: Hourly solar irradiance for a location in Oshawa City, within the Markham zone. Figure 20: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of January. Figure 21: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of February. Figure 22: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of March. Figure 23: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of April. Figure 24: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of May. Figure 26: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of July. Figure 25: The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of June. Figure 28 illustrates the monthly power output or extraction from the PV panel and its input to the electrolysis process in comparison to the hydrogen generated as a power rate. This figure provides a comprehensive overview of how the wind turbine's power production, when used in the electrolysis process for hydrogen generation, aligns with the resulting monthly hydrogen production rate. Figure 29 presents the electrolysis efficiency, and this efficiency is calculated using Equations (2)-(4). The figure provides a visual representation of how efficiently the electrolysis process converts electrical energy into hydrogen. Electrolysis efficiency is a crucial  
Figure 18:0 The monthly power extraction from the PV panel in comparison to the hydrogen generated as a power rate. Figure 18:1 The relationship between input power from the PV panel and the hydrogen flow rate over the course of an hour in the month of August. parameter, as it reflects the effectiveness of the hydrogen generation process. By assessing the efficiency over time, researchers can identify trends and variations in the system's performance. This information is valuable for optimizing the hydrogen production process and improving the overall system efficiency. The cost of producing 1 kg of hydrogen (kg H\({}_{2}\)) can be determined based on the capacity ratio (CR) and the hydrogen energy output, as well as the power input. This cost calculation is summarized in Table 8 and Figure 18:2 The table presents a breakdown of the cost of hydrogen production under different conditions or scenarios, reflecting the economic implications of the hydrogen generation process.