Energy is an important material basis for national economic development and people's life. Over the past 200 years, the energy system based on fossil fuels such as coal, oil, and natural gas has greatly promoted the development of human society. However, when humans use fossil fuels, they also bring serious environmental pollution and ecosystem damage. In recent years, countries around the world have gradually realized the importance of energy to human beings, and even more aware of the damage to the environment and ecosystems in the process of conventional energy utilization. Countries have begun to control and alleviate the deteriorating environment according to their national conditions, and regard the development and utilization of renewable and pollution-free new energy as an important content of sustainable development. The wind-solar-water hybrid power generation system is a new energy power generation system with high cost performance that utilizes the complementarity of wind energy, solar energy and water energy resources, and has a good application prospect.
The original complementary power generation system was a simple combination of different power generation components. Because of the lack of detailed mathematical calculation models, and the system was only used for users with low guarantee rates, the service life was not long. With the continuous expansion of the application range of new energy systems and the improvement of guarantee rate and economic requirements, a high spatial resolution, high time resolution, high-precision wind resource, light resource and water resource integrated forecasting system is required, and automation is realized forecast, thus providing scientific support for resource allocation.
Prediction platform explanation and installation
1. Introduction to the basic theory of high-precision weather forecasting
▶Comprehensive meteorological observation + numerical simulation model;
▶ Global prediction model, mesoscale numerical model;
2. Introduction of automated forecasting platform
▶Linux system
▶ Crontab timing task execution mechanism
▶ Bash script automation programming
▶Introduction to hardware requirements
▶Software system installation
▶Compiler, function library
▶Supporting software, data analysis and display
Chapter 2: Detailed Explanation of Integrated Forecasting Tools and Data Acquisition and Preparation [Principle Explanation + Practice]
1. Basic theory of software compilation
2. Prediction tool compilation and installation
▶ Code acquisition
▶Compile to obtain executable files
▶Global basic data acquisition and preparation
▶Automatic acquisition of forecast data and data
Chapter Three: Wind Resource Forecasting Automation Technology [Principle Explanation + Practice]
1. Meteorological data processing and model forecasting process
1. Determine the target area
2. Determine the spatial resolution and nesting scheme
3. Determine vertical coordinate requirements and level requirements
4. Prepare weather-driven data
5. Complete the key process activation and setting of the physical process of wind resource forecasting
2. Case demonstration and Bash automation
1. The whole process of running the forecast model
2. Scripting of key parameters
3. Automatic operation and crontab settings
Chapter 4: Automatic Forecasting Technology of Solar Energy Resources [Principle Explanation + Practice]
1. Solar energy forecasting process
1. Determine the target area
2. Determine the spatial resolution and nesting scheme
3. Determine vertical coordinate requirements and level requirements
4. Prepare weather-driven data
5. Complete the activation and setting of solar related modules
2. Case demonstration and automation
1. The whole process of running the forecast model
2. Scripting of key parameters
3. Automatic operation and crontab settings
Chapter 5: Automatic water resource forecasting technology [principle explanation + practice]
1. Runoff forecasting process
1. Determine the target area
2. Determine the spatial resolution and nesting scheme
3. Determine the resolution and magnification relationship of the hydrological model
4. Prepare hydrological basic data and meteorological driving data
5. Complete the activation and setting of the hydrology module
2. Case demonstration and automation
1. The whole process of running the forecast model
2. Scripting of key parameters
3. Automatic operation and crontab settings
Chapter 6: Post-processing automation technology [principle explanation + practice]
1. Introduction to post-processing, file format conversion, and access to specified location data
1. NCL/Python directly obtains the specified variable and displays it
2. Use NCL/Python to convert NC format data to ASCII format, CSV or other formats
3. Data space interpolation operation
2. Case demonstration and automation
1. Interaction between NCL and Bash
2. Automatic operation and crontab settings
