Synthetic Data Revolutionizing the Renewable Energy Industry (4/29)
Table of Contents
Introduction
The use of renewable energy sources such as hydrogen energy and solar energy is accelerating. In this context, data analysis is becoming increasingly important in determining how to effectively utilize renewable energy sources. However, there are limitations to obtaining such data in high quality and quantity. Therefore, synthetic data is emerging as a key element in leading this new era of energy. Synthetic data refers to simulated data generated based on real data, which can help address data scarcity issues and contribute to data protection and cost savings.
Case Studies of Synthetic Data Utilization in the Renewable Energy Sector
Example 1: Hydrogen Energy (Renewable Energy)
Hydrogen is a clean energy source with significant potential. However, mishandling hydrogen can lead to significant problems such as explosions. Therefore, managing and utilizing hydrogen can incur significant costs. Synthetic data can be used to optimize the production, storage, and transportation methods of hydrogen. Through data-based simulations, more efficient production processes can be designed, and safety issues during hydrogen storage can be predicted and addressed.
Example 2: Wind Energy
Wind energy is one of the fastest-growing renewable energy sources. By utilizing synthetic data, wind turbine performance can be improved, and load forecasting and maintenance scheduling can be optimized. Additionally, more accurate evaluations of wind resource during site selection processes can be performed.
Example 3: Solar Photovoltaic and Solar Thermal Energy
Solar photovoltaic and solar thermal energy are abundant and sustainable energy sources. Synthetic data can help improve the design of these systems and develop strategies to overcome the variability of energy demand and supply. Particularly in the case of solar thermal energy, there are concerns that installing panels may become another form of pollution in the future, and synthetic data could be used for cost-benefit analysis in this regard. Furthermore, it is expected to be utilized in research to increase the accuracy of solar power generation predictions and enhance system efficiency.
Conclusion
In the renewable energy industry, synthetic data can be of great assistance.
If you want to learn more about the diverse applications of synthetic data, feel free to explore our blog further!