Application-Oriented Modelling of Renewable Energy Sources, Conversion and Energy Storage Systems
Gain essential skills in simulating and analysing key components of modern energy systems—PV, wind, batteries, and power electronics. This course equips you to choose and apply the right modelling techniques for everything from real-time monitoring to advanced high-frequency analysis.
Date:
Location:
18-21 August
Roskilde, Denmark
About the course
The course provides participants with fundamental and practical knowledge of modelling techniques for renewable energy systems (RES), including power electronic converters (PEC), photovoltaic systems (PVG), wind power systems (WTG), and battery energy storage systems (BSS). It enables students to select, implement, and validate modelling approaches tailored to different applications—from performance monitoring to high-frequency simulations.
Agenda & Schedule
Monday
August 18th
9:00 AM - 17:00 PM
PHOTOVOLTAIC SYSTEMS
Explore PV modelling from solar resource to real-time performance, including array behaviour, measurement-based modelling, and system simulation
Tuesday
August 19th
9:00 AM - 17:00 PM
POWER CONVERTERS
Learn to model power electronic converters using both average and switching techniques, including thermal behaviour and modulation strategies.
Wednesday
August 20th
9:00 AM - 17:00 PM
BATTERY ENERGY STORAGE
Dive into battery modelling through hands-on testing, static and dynamic equivalent circuit models, and validation using real measurement data.
Thursday
August 21st
9:00 AM - 17:00 PM
WIND POWER AND
SYSTEMS INTEGRATION
Understand wind turbine and resource modelling, and learn how to integrate wind, PV, and storage systems into smart grids with real-time considerations.
Your teachers
Sergiu Spataru
Associate professor
Expert in PV system modelling and diagnostics, focusing on fault detection and performance analysis.
Tamas Kerekes
Associate professor
Specialises in power electronics and grid integration of photovoltaic systems.
Florin Iov
Associate professor
Focuses on modelling and control of renewable energy systems and smart grid technologies.
Daniel-Ioan Stroe
Associate professor
Expert in battery energy storage systems with emphasis on modelling and lifetime analysis.
Visitor Guide
Where and When
Join us at The Technical University of Denmark, Risø Campus - Frederiksborgvej 399, 4000 Roskilde Building 110. August 18-22nd from 9:00 to 17:00.
Transportation
You can use the Travel Planer to guide you.
From Roskilde Station
Bus 600S leaves every 15 minutes from Roskilde Station with about 15 minutes transport tor Risø
Campus.
Train to Roskilde
There is train from the airport to the Central Station in Copenhagen. There is trains from Central Station
in Copenhagen to Roskilde Station. The trains depart often, and it takes approximately 25 minutes.
Tickets for train or bus
The easiest way to pay for the train or bus is by using the app: "DOT Mobil billetter". The app can be
used by both iOS and Android.
Taxi
From Copenhagen Airport or the Central Station to Roskilde the price is approximately between
700-1000 DKK.
From Roskilde Station: Approximately 150 DKK.
Roskilde Taxi, Phone number: +45 46 75 75 75
Roskilde Bilen, Phone number: +45 46 32 19 00
Car
It takes approximately 45 minutes by car from Copenhagen Airport (Kastrup) to Risø (45 km).
Accomodations
Four Points Flex by Sheraton Roskilde
In centre of Roskilde. Historical hotel
https://www.marriott.com/en-us/hotels/cphrf-four-points-flex-roskilde/overview/
Scandic Roskilde
Near the centre and the train station in Roskilde
Comwell Roskilde
5 min by bus 600S + 20 min walk to hotel
From Roskilde station, other busses stop closer to hotel.
FAQ
Who is the course for?
This is a PhD-level course designed for students and professionals working with modelling of renewable energy systems, including PV, wind, batteries, and power electronics.
How many ECTS credits does the course provide?
Participants who complete the course and required assignments will earn 5 ECTS credits.
What is the course fee?
The course fee is 8000 DKK for industry participantsand 6000 DKK for PhD students. This is VAT-free education. The fee includes lunch, coffee, and snacks during the course days, but does not cover accommodation.
Prerequisites
Basic Matlab/Simulink knowledge is recommended for the exercises.
Register Now
Join our 4-day PhD summer school at DTU Risø and learn to model real-world PV, wind, battery, and converter systems with expert guidance, hands-on tools, and 5 ECTS.