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Events at Department of Energy Technology

Industrial/PhD Course: Application-Oriented Modelling of Renewable Energy Sources, Conversion and Energy Storage Systems

Time

04.03.2019 kl. 08.00 - 07.03.2019 kl. 16.00

Description

Organizers

Assistant Professor Sergiu Spataru - Aalborg University Associate
Professor Dezso Sera - Aalborg University

Lecturers

Associate Professor Dezso Sera - Aalborg University
Associate Professor Tamas Kerekes - Aalborg University
Associate Professor Florin Iov - Aalborg University
Assistant Professor Daniel-Ioan Stroe - Aalborg University
Assistant Professor Sergiu Spataru - Aalborg University

ECTS: 4

Description

This four-day course provides an overview and hands-on experience into the most common modelling methods used for the design, analysis, and planning of solar photovoltaic (PV) generation, wind power (WP) , and energy storage (ES) systems.

The course will focus on the applicability and practical implementation of the models, and cover the following main topics:

  1. modelling solar and wind resource: from high frequency variations to hourly, daily, and monthly averaged models;
  2. detailed/dynamic models of the photovoltaic generator (PVG), wind turbine generator (WTG), power electronic converter (PEC) and battery storage system (BSS), used in applications where models with a high bandwidth are required, such as switching converter applications;
  3. averaged, performance, and ageing models of the PVG, WTG, PEC, and BSS used in power system integration studies, power plant design, or performance monitoring and analysis.

The mornings are dedicated to lectures, while the afternoons are spent with off-line application examples and exercises in Matlab/Simulink, and laboratory exercises focusing on Real Time implementation using Opal-RT, where the students will apply the models and methodology in practice. No less than 40% of the course time is spent in the state-of-the-art Photovoltaic Systems Laboratory and the Smart Energy Systems Laboratory at the Department of Energy Technology at Aalborg University.

Prerequisites

Basic Matlab/Simulink knowledge is recommended for the exercises.

Form of evaluation

The students will be evaluated based on an individual report that must be submitted in maximum 10 working days after the course is finished.

The individual report must document their solutions to the mandatory assignments received during each day the course.

Registration

https://phd.moodle.aau.dk

Price

6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry.

Host

Department of Energy Technology

Address

Aalborg University, Pontoppidanstræde 103, room 4.112, 9220 Aalborg East