Smart renewable energy electrical grids
7.5 ECTS credits- Electrical grid structure: Traditional structure of electrical power grids, electrical energy production, transmission and distribution grids, and electricity consumers, industrial electrical grids, commercial electrical grids, and electrical grids for housing, ICT and grid calculation, plus SCADA.
- Smart electrical grids and renewable energy: Infrastructure for measuring, data management, and data communication, distributed energy resources, flexibility and consumption response, smart applications, energy storage, electric vehicles and charging infrastructure, renewable energy for heat, and hydrogen gas, micro-grids, AI and IoT, edge and cloud computing, plus blockchain.
- Control and handling of electrical power: Power flows, operating principles in different time scales, energy optimisation, and market implementation.
- Ethical and social aspects of smart electrical grids.
- Smart electrical grids and renewable energy: Infrastructure for measuring, data management, and data communication, distributed energy resources, flexibility and consumption response, smart applications, energy storage, electric vehicles and charging infrastructure, renewable energy for heat, and hydrogen gas, micro-grids, AI and IoT, edge and cloud computing, plus blockchain.
- Control and handling of electrical power: Power flows, operating principles in different time scales, energy optimisation, and market implementation.
- Ethical and social aspects of smart electrical grids.
Progressive specialisation:
A1N (has only first鈥恈ycle course/s as entry requirements)
Education level:
Master's level
Admission requirements
30 ECTS credits of programme courses in Mathematics completed at the Master level (Engineering), and registered for programme courses worth 150 ECTS credits in Industrial Engineering and Management, Computer Engineering, or Energy and Environmental Engineering at the Master level (Engineering), plus upper secondary level Swedish 3 or Swedish as a second language 3 and English 6, or equivalent.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Master of Science in Industrial Engineering and Management (studied during year 3)
More information
- Start Spring 2025
- Mode of study Campus
- Language English, if required by international students
- Course code ELAD22
- Application code KAU-45023
- Study pace 50% (Day)
- Study period week 4鈥13
- Schedule
- Introductory Information
- Reading list