Solar Power Load Simulation Using Historical Insolation Data
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Solution Overview
Problem
Conventional solar power generation simulation devices struggle to accurately predict power consumption by power loads due to variations in insolation and temperature, making it difficult to design reliable renewable solar power energy systems.
Innovation Solution
A device and method that simulate power consumption by using historical data on inclined and horizontal insolation, external temperature, photovoltaic module temperature, and solar power generation facility data to estimate power consumption, incorporating user input and statistical analysis to calculate power usage for specific geographical regions and energy storage systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional solar power generation simulation devices are used, then device complexity is reduced, but measurement precision and reliability of power consumption prediction deteriorate due to inability to account for insolation and temperature variations
Solution Approach 1:
The simulation device is divided into distinct functional modules: a data storage unit storing historical insolation and temperature data, a data input processing unit receiving user inputs about solar facility specifications and power load characteristics, a simulation processing unit performing calculations, and a display unit presenting results. This segmentation allows each module to specialize in specific tasks, improving overall prediction accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system performs preliminary data collection and storage of historical insolation and temperature information before actual power consumption simulation. By pre-processing and storing environmental data, the system prepares accurate input parameters for subsequent power consumption calculations, thereby improving prediction reliability without increasing operational complexity during actual use.
2Reliability
If detailed historical data on insolation and temperature is collected and used, then reliability of power consumption estimation is improved, but loss of time for data collection and processing increases
Solution Approach 1:
Historical insolation and temperature data are collected and stored in advance in the data storage unit, before actual power consumption simulation is performed. This preliminary data preparation eliminates the need for real-time data collection during simulation, thereby improving estimation reliability through access to comprehensive historical records while minimizing time loss during actual use.
Solution Approach 2:
The system utilizes feedback from historical data patterns to improve future predictions. By analyzing stored historical insolation and temperature information, the simulation processing unit refines its power consumption estimates, continuously improving reliability while reducing the need for extensive real-time data collection.
Data Source
AI summary
The present invention relates to a device and method for simulating the power consumption by a power load, which uses data collected over a long period of time on the inclined insolation, the horizontal insolation, the external temperature, the photovoltaic module temperature, the solar power generation facilities and generated solar power corresponding to the solar power generation facilities for each region. The device and method of the present invention simulates or estimates the power consumption by power loads provided by a user and shows a result of the simulation when a user desires to design or build a renewable solar power energy system.