严儒井,1990年12月生,男,黎族,贵州安顺人,特岗教授,硕士导师。2022年6月于华北电力大学动力工程及工程热物理专业获得工学博士学位,现任开云手机在线登陆入口电力工程及其自动化系教师,从事教学与科研工作。
主要研究方向
综合能源系统的供需协调规划调度
电力市场背景下储能的综合价值及激励机制
分布式新能源多联产系统
火电厂的灵活、低碳、高效改造
教育经历
2011年9月-2015年6月,东北电力大学,风能与动力工程,本科
2015年9月-2018年6月,东北电力大学,动力工程及工程热物理,硕士;
2018年9月-2022年6月,华北电力大学,动力工程及工程热物理,博士
主持/参与项目
1、开云手机在线登陆入口自然科学专项(特岗)科研基金项目,低碳综合能源系统的互补特性及供需协调规划,2022年08月-2025年08月,在研,主持
2、国家自然科学基金重大项目,52090064,多能源互补的分布式能源系统基础研究,2021年01月01日-2025年12月31日,在研,参与
3、国家自然科学基金面上项目,5187060574,区域型多能源互补分布式供能网络的能流耦合机理及协同优化研究,2019年01月01日-2022年12月31日,在研,参与
4、河北省自然科学基金,E2020502002,多区域能源互联网的能流耦合与共享机制的研究,2020年02月-2023年12月,在研,参与
5、北京市自然科学基金,3202027,区域建筑综合能源网络热电解耦与协同控制研究,2020年01月-2022年12月,在研,参与
代表性学术论文
[1] Yan Rujing, Wang Jiangjiang, Huo Shuojie, et al., Flexibility improvement and stochastic multi-scenario hybrid optimization for an integrated energy system with high-proportion renewable energy. Energy. 2023, 263:125779: https://doi.org/10.1016/j.energy.2022.125779
[2] Yan Rujing, Wang Jiangjiang, Huo Shuojie, et al., Comparative study for four technologies on flexibility improvement and renewable energy accommodation of combined heat and power system. Energy. https://doi.org/10.1016/j.energy.2022.126056
[3]Yan Rujing, Lu Zherui, Wang Jiangjiang, et al. Stochastic multi-scenario optimization for a hybrid combined cooling, heating and power system considering multi-criteria [J]. Energy Conversion and Management, 2021, 233:113911;
[4]Yan Rujing, Wang Jiangjiang, Lu Shuaikang, et al. Multi-objective two-stage adaptive robust planning method for an integrated energy system considering load uncertainty[J]. Energy and Buildings, 2021, 235:110741;
[5]Yan Rujing, Wang Jiangjiang, Wang Jiahao, et al. A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties [J]. Energy, 2022, 247:123498;
[6]Yan Rujing, Wang Jiangjiang, Cheng Youliang, et al. Thermodynamic analysis of fuel cell combined cooling heating and power system integrated with solar reforming of natural gas [J]. Solar Energy, 2020, 206:396-412;
[7]Yan Rujing, Wang Jiangjiang, Zhu Sitong, et al. Novel planning methodology for energy stations and networks in regional integrated energy systems[J]. Energy Conversion and Management, 2020, 205:112441;
[8]Wang Jiangjiang, Yan Rujing, Wang Zhuang, et al. Thermal Performance Analysis of an Absorption Cooling System Based on Parabolic Trough Solar Collectors [J]. Energies, 2018, 11(10):11102679;
[9]Lu Chunyan, Wang Jiangjiang, Yan Rujing. Multi-objective optimization of combined cooling, heating and power system considering the collaboration of thermal energy storage with load uncertainties [J]. Journal of Energy Storage, 2021, 40:102819;
[10]Wang Jiangjiang, Huo Shuojie, Yan Rujing, et al. Leveraging heat accumulation of district heating network to improve performances of integrated energy system under source-load uncertainties [J]. Energy, 2022, 252: 124002;
[11]Zhou Yuan, Wang Jiangjiang, Liu Yi, Yan Rujing, et al. Incorporating deep learning of load predictions to enhance the optimal active energy management of combined cooling, heating and power system[J]. Energy, 2021, 233:121134。
联系方式
联系地址:贵州省贵阳市花溪区开云手机在线登陆入口西校区开云手机在线登陆入口
电子邮件:rjyan@gzu.edu.cn