18551784. PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION simplified abstract (Eaton Intelligent Power Limited)
Contents
- 1 PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION
Organization Name
Eaton Intelligent Power Limited
Inventor(s)
Andrew Mckay of Rathmines (IE)
Andrei Marinescu of Dublin (IE)
PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18551784 titled 'PREDICTING POWER GENERATION OF A RENEWABLE ENERGY INSTALLATION
Simplified Explanation
The invention provides a method for predicting power generation of a renewable energy installation by analyzing current and previous power generation data from neighboring installations.
- The method involves receiving current power generation data from neighboring renewable energy installations.
- It then determines a current data map of power generation values across the area.
- The method retrieves a previous data map of power generation values.
- Based on the current and previous data maps, it predicts a future data map of power generation values.
- Finally, it calculates the predicted power generation value of the renewable energy installation at the future time.
Potential Applications
This technology could be applied in the renewable energy sector to optimize power generation and distribution across multiple installations.
Problems Solved
This technology helps in forecasting power generation, which can assist in efficient energy management and planning.
Benefits
The method allows for better utilization of renewable energy resources and helps in reducing energy wastage.
Potential Commercial Applications
This technology could be used by energy companies, utility providers, and renewable energy developers to improve the efficiency of power generation systems.
Possible Prior Art
One possible prior art could be systems that analyze historical power generation data to predict future power generation values in the renewable energy sector.
Unanswered Questions
How accurate are the predictions made by this method compared to actual power generation values?
The accuracy of the predictions made by this method would be crucial in determining its practical utility and effectiveness in real-world applications.
What are the potential limitations or challenges faced when implementing this method on a large scale?
Understanding the scalability and potential challenges of implementing this method on a larger scale would be important for its widespread adoption and integration into existing energy systems.
Original Abstract Submitted
The invention provides a computer-implemented method for determining predicted power generation of a renewable energy installation. The method includes receiving current power generation data indicative of a current power generation value for each of one or more neighbouring renewable energy installations, and determining, based on the received current power generation data, a current data map indicative of current power generation values across an area including the renewable energy installation and the one or more neighbouring renewable energy installations. The method includes retrieving a previous data map indicative of power generation values across the area at a previous time, and determining, based on the previous and current data maps, a future data map indicative of power generation values across the area at a future time, determining a predicted power generation value of the renewable energy installation at the future time based on the determined future data map.
