1.研究光伏跟踪系统中影响发电量的关键因素，分析产品运行轨迹、安装结构等对发电量的影响，采用仿真分析和实验测试的方法进行验证;
2.研究采用先进的传感技术、大数据分析、边缘计算、机器学习等前沿技术进行系统发电量的提升策略研究，为产品开发提供软件的策略和算法;
3.通过对电站实时和历史数据分析，提出优化光伏支架的跟踪策略及发电量提升方法;
4.研究优化光伏跟踪天文算法及各种天气可能的跟踪策略及恶劣天气的保护策略;
5.搭建相关研究及验证的实验测试平台。
- Location of work: Hefei City - High-tech zone
- Department:EnerTrack
- Number of people to be recruited:1
- Nature of work:Full time
- Age limitation for work:More than 2 years
- Educational background:Bachelor degree or above
- Age:
- Gender:No limit
- Time of issue: 2022-09-05 09:51:00
1.研究光伏跟踪系统中影响发电量的关键因素，分析产品运行轨迹、安装结构等对发电量的影响，采用仿真分析和实验测试的方法进行验证;
2.研究采用先进的传感技术、大数据分析、边缘计算、机器学习等前沿技术进行系统发电量的提升策略研究，为产品开发提供软件的策略和算法;
3.通过对电站实时和历史数据分析，提出优化光伏支架的跟踪策略及发电量提升方法;
4.研究优化光伏跟踪天文算法及各种天气可能的跟踪策略及恶劣天气的保护策略;
5.搭建相关研究及验证的实验测试平台。
Description of position:
Job duties:
1. Study the key factors affecting the power generation capacity in the PV tracking system, analyze the effects of operation tracks and installation structure of products on the power generation capacity, and verify by simulation analysis and experimental test;
2. Study the strategy to increase power generation capacity in the system by use of advanced sensing technology, big data analysis, edge computing, machine learning and other cutting-edge technologies, to provide strategies and algorithms at the software level for product development;
3. Analyze the real-time and historical data of the power station, to put forward the tracking strategy of optimizing PV racking system and the method of increasing power generation capacity;
4. Study and optimize PV tracking astronomical algorithm, potential tracking strategies for various weather conditions and protection strategies for severe weather conditions;
5. Build an experimental test platform for relevant researches and verifications.
Qualification:
1. Bachelor degree or above, major in PV, automation, computer, science and other related fields and engaged in PV system, power generation mechanism of PV module, influencing factors of power generation capacity of bifacial modules and improvement thereof.
2. More than 2 years of work experiences in study, with a deep understanding of the optical characteristics (direct light, scattering and spectrum), astronomical characteristics (solar trace) and meteorological characteristics (overcast and cloudy days, cloud change, etc.) that affect the power generation capacity of PV systems and PV modules;
3. Be able to use PVsyst for power generation capacity analysis and simulation, and use Matlab, excel and other necessary software to establish and analyze data relations;
4. Researchers involved in tracking algorithms and strategies of PV tracking system are preferred;
5. Those familiar with relevant algorithms and technical application methods including machine learning, AI and pattern recognition, are preferred;
6. Good communication skills and logical thinking abilities.
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