课程代码

Course Code

PE8603

*学时

Teaching Hours

32

*学分

Credits

2

*课程名称

Course Name

（中文）能源互联网与智慧能源

（English）Energy Internet and Smart Energy

*授课语言

Instruction Language

英文English

*开课院系

School

中英国际低碳学院China-UK Low Carbon College

先修课程

Prerequisite

无

授课教师

Instructors

姓名Name

职称Title

单位Department

联系方式E-mail

鞠生宏Shenghong JU

副教授Associate Professor

中英国际低碳学院China-UK Low Carbon College

shenghong.ju@sjtu.edu.cn

*课程简介（中文）Course Description

《能源互联网与智慧能源》是动力工程硕士研究生的专业选修课，主要授课内容涉及能源互联网与智慧能源概述、架构及标准、新能源发电技术、先进输电技术、先进储能技术、分布式能源系统、微能源网系统、能源系统建模与优化、大数据与机器学习算法在能源互联网与智慧能源中的应用、能源互联网与智慧能源项目与案例分析等。该课程旨在使学生了解和掌握能源互联网与智能能源的相关关键技术、发展动态及应用前景，是低碳能源专业硕士生培养科研兴趣、接轨国际研究热点的有效途径。

*课程简介（English）Course Description

The course of Energy Internet and Smart Energy covers the overview of energy Internet and smart energy, architecture and standards, new power generation technology, advanced power transmission technology, advanced energy storage technology, and distributed energy system, micro-energy grid systems, energy system modeling and optimization, applications of big data and machine learning in energy internet and smart energy, energy internet and smart energy projects and case studies, etc. This course aims to enable students to understand and master the key technologies, development trends and applications of energy Internet and smart energy. It is an effective way for master students to develop scientific research interest and do frontier research related with energy.

*教学安排

Schedules

教学内容Content

授课学时

Hours

教学方式

Format

授课教师

Instructor

Introduction to energy internet: understand the definition, characteristics and status of energy internet.

2

Lecture

Shenghong Ju

Advanced power generation technology: understand the principles and technologies of new energy power generation such as solar energy, wind energy, biomass energy, and tidal energy.

4

Lecture

Shenghong JU

Advanced power transmission technology: understand the development trend of power transmission technology, including DC, AC, wireless, etc.

2

Lecture

Shenghong JU

Advanced energy storage technology: understand the development trend, the principles and technologies of electricity storage, heat storage, and hydrogen storage.

4

Lecture

Shenghong JU

Distributed energy and micro-grid system: understand the concept, composition and key technology of multi-energy complementary energy system.

2

Lecture

Shenghong JU

Energy system modeling: case study

2

Lecture

Shenghong JU

Energy system optimization: case study

2

Lecture

Shenghong JU

Smart energy company visiting study

2

Visiting study

Shenghong JU

Introduction of energy big data and machine learning in smart energy

2

Lecture

Shenghong JU

Machine learning Basics – I (Regression)

2

Lecture

Shenghong JU

Machine learning Basics – II (Classification)

2

Lecture

Shenghong JU

Machine learning Basics – III (Clustering)

2

Lecture

Shenghong JU

Energy big data case study and analysis

2

Lecture

Shenghong JU

Final presentation

2

Discussions

Shenghong JU

*考核方式Grading Policy

考核方式：出勤（10%），平时作业（40%），大作业（50%）

The final grade will be evaluated by: Attendance (10%), homework (40%), and final presentation (50%).

*教材或参考资料Textbooks & References

1. 冯庆东，《能源互联网与智慧能源》，机械工业出版社，2015.

2. 袁飞、黄珊，《全球能源互联网关键技术》，化学工业出版社，2019.

3. Wencong Su, Alex Huang, The Energy Internet: An Open Energy Platform to Transform Legacy Power Systems into Open Innovation and Global Economic Engines, Woodhead Publishing, 2018.

备注

Notes

None.