严儒井【特聘教授】

严儒井，男，黎族，贵州安顺人，特岗教授，硕士导师，88038威尼斯学科学术带头人培育对象。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88038威尼斯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优化调度

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

电力与算力协同

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、国家自然基金青年基金项目“电热氢耦合释储循环与多能微网的长短期供需平衡机制及优化研究”，2025.01-2027.12，52406227，在研，主持。

2、贵州省支撑计划项目“面向煤电改造的新型电力系统多能源协调调度技术研究”，2024年04月-2027年03月，黔科合支撑[2024]一般018，在研，子课题负责人。

3、贵州省双碳与新能源技术创新发展研究院开放基金项目“应对大规模风光接入含灵活性改造煤电新型电力系统的多级协同调度技术研究”， 2023年07月-2024-07月，DCRE-2023-08，结题，主持。

4、88038威尼斯勘察设计研究院有限责任公司创新基金项目“多不确定性下综合能源系统的多环节协同规划研究” 2022年12月-2025年12月，贵大勘察[2022]-01，在研，主持。

5、88038威尼斯自然科学专项（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。

6、国家自然科学基金重大项目，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，52090064，在研，参与。

代表性学术论文

[1]Wu Mou, Yan Rujing*, et al., Comparative analysis of eight urea-electricity-heat-cooling multi-generation systems: energy, exergy, economic, and environmental perspectives [J]. Energ Convers Manage, 2024,319:118933. (中科研一区TOP，学生第一).

[2] Yan Rujing, Wu Mou, Fan Junqiu, et al., Process integration and thermodynamic analysis of a multi-generation system including solar-assisted biomass gasification and chemical looping ammonia generation. Energy conversation and management, 2024, 306: 118263. (中科院一区TOP).

[3] Wu Mou, Yan Rujing*, Jing Zhang, et al., An enhanced stochastic optimization for more flexibility on integrated energy system with flexible loads and a high penetration level of renewables, Renewable energy, 2024, 227:120502. (中科院一区TOP，学生第一).

[4] Wu Mou, Fan Junqiu, Yan Rujing*, et al., Flexible Regulation and Synergy Analysis of Multiple Loads of Buildings in a Hybrid Renewable Integrated Energy System, Sustainability, 2024,16(7),2969. (中科院三区，学生第一).

[5] 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. (中科院一区TOP).

[6]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 [J]. Energy. 2023, 263, 126056. (中科院一区TOP).

[7] 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. (中科院一区TOP).

[8] 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. (中科院一区TOP).

[9] 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. (中科院二区TOP).

[10] 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. (中科院一区TOP).

[11] 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. (中科院二区TOP).

[12] 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；

[13] 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；(中科院二区).

[14] 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. (中科院一区TOP).

荣誉与奖励

中国电力企业联合会2023年度电力科技创新奖二等奖，排名5.

联系方式

联系地址：贵州省贵阳市花溪区88038威尼斯西校区88038威尼斯

电子邮件：rjyan@gzu.edu.cn