Nordic Energy Informatics Academy Summer School 2026
on
Energy Community and Distributed Energy Resources
13-14 August 2026, University of Iceland, Reykjavik, Iceland
This two-day summer school offers an intensive exploration of energy communities and distributed energy resources, emphasizing the digital tools and collaborative models that enable local energy generation, sharing, and optimization. Through a combination of hands-on workshops and expert-led lectures, participants will gain practical skills in energy system simulation, data analytics, and community-based sustainable energy planning.
Fully Sponsored Participation
Thanks to sponsorship from Nordic Energy Research, participation in the summer school is free of charge for all admitted PhD students from the Nordics. The sponsorship also covers catering during the two-day program, including daily morning and afternoon tea, and lunch.
The summer school is organized in cooperation with Nordic Energy Informatics.Academy Conference 2026 (10-12 August 2026).
Important Dates
25 May 2026
Application deadline
22 June 2026
Registration Deadline
1 June 2026
Notification Deadline
Key Topics
01
Energy Communities and Distributed Energy Resources
Design, operation, and optimization of local energy systems integrating renewables, storage, and flexible demand.
03
Digital Twins and Data Analytics
Application of sensor data, simulation, and digital modeling for system monitoring, diagnostics, and optimization.
05
Industrial and Community Case Studies
Nordic examples demonstrating data-driven approaches to local energy management and community-scale optimization.
02
Performance Engineering and System Efficiency
Methods to evaluate and enhance the technical performance, reliability, and sustainability of distributed energy systems.
04
Energy Conversion and Control
Integration of electrical and thermal subsystems, control strategies for balancing supply and demand in distributed networks.
Learning Outcome
By the end of this summer school, participants will be able to:
Understand Energy Community Concepts
Explain how distributed energy resources and local collaboration models contribute to efficient, resilient, and sustainable energy systems.
Integrate Data Analytics in Energy Systems
Collect, process, and interpret energy data to support decision-making and performance improvement.
Analyze and Optimize System Performance
Apply engineering methods and digital tools to evaluate efficiency, reliability, and flexibility in distributed energy networks.
Explore Nordic Case Studies and Applications
Understand practical implementations of energy communities and distributed energy systems across Nordic contexts.
Use Digital Modeling and Simulation Tools
Utilize simulation environments and digital twins for analyzing energy conversion, control, and community-scale operation.
ECTs Credits
This program offers 2 ECTS credits and is designed to enhance the academic and professional development of PhD researchers. Participants will receive a certificate of participation upon successful completion of the program.
Prerequisites
-
Basic understanding of energy systems or renewable energy integration.
-
Familiarity with data analytics, modeling tools, or energy market concepts is an advantage but not required.
Summer School Organizing Committee
Prof. Dr. Rúnar Unnþórsson, University of Iceland, Iceland
Prof. Dr. Bo Nørregaard Jørgensen, University of Southern Denmark, Denmark
Prof. Dr. Zheng Grace Ma, University of Southern Denmark, Denmark
Dr. Chiara Bordin, The Arctic University of Norway, Norway
Ms. Signe Rude Madsen, University of Southern Denmark, Denmark