# Evaluation of Hydrogen Generation with Hybrid Renewable Energy Sources
## 2 TRNSYS Modelling  
TRNSYS is a powerful software tool used to simulate the performance of dynamic systems, including those related to solar power. In this study, TRNSYS version 16 was employed to simulate the system's performance over the course of a year. The simulations were conducted at hourly intervals, covering a total of 8760 h. The system under investigation primarily comprises solar panels, wind turbines, an electric controller, and an electrolyzer, and each of these components will be discussed in this section. As depicted in Figure 3, a schematic representation of two renewable energy simulations using TRNSYS software is presented. This schematic provides a clear and detailed visualization of the hydrogen system in TRNSYS software, emphasizing the interactions between renewable energy sources and hydrogen production. The following components and their interactions are clearly defined:  
1. Components, Configuration, and Input Data
2. Weather Data Import - Purpose: To import and process weather data, including solar radiation, wind speed, temperature, and other relevant meteorological parameters. - Configuration: Import weather data files. 3. Solar Photovoltaic (PV) System - Function: To simulate the electrical output of a solar PV array based on incident solar radiation and cell temperature. - Configuration: Define PV module characteristics (e.g., efficiency, area, tilt angle). Connect to the weather data component to receive solar radiation input. 4. Wind Turbine System - Function: To simulate the power output of wind turbines based on wind speed and turbine performance curves. - Configuration: Input turbine specifications (e.g., rated power, cut-in and cut-out wind speeds). Link to the weather data component for wind speed input. 5. Electrolyzer - Function: To model the hydrogen production process via electrolysis, converting electricity from renewable sources into hydrogen. - Configuration: Define electrolyzer characteristics (e.g., efficiency, operating range). Connect to the PV or wind turbine systems for electricity input. 6. Control Systems - Function: To manage the flow of electricity and hydrogen, ensuring optimal operation. - Configuration: Develop control algorithms to balance supply and demand. Figure 2: Work sequence flow chart. 2. Simulation Setup and Execution * System Integration * Integrate all components by defining their interactions and data flow. * Ensure proper connections between renewable energy sources, the control system, and the electrolyzer. * Simulation Parameters * Set the simulation time step (hourly) and duration (9 months). * Configure output parameters to monitor (hydrogen production rate and system efficiency). * Running Simulations * Execute the simulation and monitor real-time performance. 3. Data Analysis and Interpretation * Hydrogen Production Analysis * Analyze the hydrogen production rate from the electrolyzer over time. * Assess the impact of varying solar and wind inputs on hydrogen output. * Cost Analysis * Perform a cost analysis of hydrogen production. * Compare the cost of hydrogen generated from solar and wind energy. Figure 3: A schematic of the hydrogen system in TRNSYS software. (**a**) The turbine power source; (**b**) the PV panel power source. Data Reader: This component serves the function of reading data from a data file at regular time intervals, converting it to the desired system of units, and then making it available to other components within the TRNSYS simulation as time-varying forcing functions. This component is versatile and can handle various types of data files. The data in the file must be organized in such a way that they are at constant time intervals. It provides a streamlined approach to handling weather data and solar radiation processing within the TRNSYS simulation environment. Wind Turbine: This is a mathematical model used to model a Wind Energy Conversion System (WECS).