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.
| Topic |
main content |
| Chapter One Prediction platform explanation and installation |
1. Introduction to the basic theory of high-precision weather forecasting Ø Comprehensive meteorological observation + numerical simulation model;
Ø Global prediction model, mesoscale numerical model;
2. Introduction of automated forecasting platform Ø Linux system
Ø Crontab timing task execution mechanism
Ø Bash script automation programming
Ø Introduction to hardware requirements
Ø Software system installation
Ø Compiler, function library
Ø Supporting software, data analysis and display
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| Chapter two Detailed explanation of integrated forecasting tools and data acquisition and preparation |
1. Basic theory of software compilation 2. Prediction tool compilation and installation Ø Code acquisition
Ø Compile and obtain executable files
Ø Acquisition and preparation of global basic data
Ø Automatic acquisition of forecast data and data
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| third chapter Wind resource forecast automation technology 【Principle Explanation + Practice】 |
1. Meteorological data processing and model forecasting process 1. Determine the target area 2. 确定空间分辨率、嵌套方案 3. 确定垂直坐标要求及层次要求 4. 准备气象驱动数据 5. 完成风资源预测物理过程关键过程激活及设置
三、案例演示及Bash自动化 1. 预测模型全流程运行过程 2. 关键参数脚本化 3. 自动化运行及crontab设置
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| 第四章 太阳能资源自动化预测技术 |
一、太阳能预测流程 1. 确定目标区域 2. 确定空间分辨率、嵌套方案 3. 确定垂直坐标要求及层次要求 4. 准备气象驱动数据 5. 完成太阳能相关模块激活及设置
二、案例演示及自动化 1. 预测模型全流程运行过程 2. 关键参数脚本化 3. 自动化运行及crontab设置
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| 第五章 水资源自动化预测 技术 |
一、径流预测流程 1. 确定目标区域 2. 确定空间分辨率、嵌套方案 3. 确定水文模型分辨率及倍率关系 4. 准备水文基础数据和气象驱动数据 5. 完成水文模块激活及设置
二、案例演示及自动化 1. 预测模型全流程运行过程 2. 关键参数脚本化 3. 自动化运行及crontab设置
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| 第六章 后处理自动化技术 |
一、后处理简介，文件格式转换，获取指定位置资料 1. NCL/Python直接获取指定变量并展示 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. NCL interacts with Bash 2. Automated operation and crontab settings
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Link to the original text: Application of wind, light, and water energy automatic forecasting technology for high spatial-temporal resolution and high-precision integrated forecasting technology