The Technical University of Denmark (DTU) is one of the leading technical Universities in Europe (In the Leiden ranking No. 1 in the Nordic region and no. 7 in Europe). DTU has a strong focus on research, while holding a business-oriented approach, and is known for its focus on sustainability. 

The overall objectives of DTU Wind Energy are to maintain and further develop Denmark as a leading knowledge and development centre for wind energy and to support and develop the wind energy sector though research, innovation, education and research-based consultancy. The department will with its close and well-established relations to all parts of the value chain in wind energy contribute significantly to solution in the energy area. DTU Wind Energy has more than 230 staff members, including 150 academic staff members and nearly approximately 50 PhD students

The staff members participating in NSON are from two of the eight sections in DTU Wind Energy, namely the Wind Energy Systems section which provides the major contribution on wind power integration and control, and the Meteorology section which provides the weather model data.

The Wind Energy Systems section contributes to the development of better methods to integrate a significant share of wind power into the power system. The research in wind power integration and control covers a wide range of subjects within these fields:

  • Wind power plants in the power system
  • Variability, prediction and predictability of wind power
  • Integrated design and control of wind turbines and wind farms

This and more information is available at
DTU Wind Energy (DTU WIND)

The research programme Energy Systems Analysis (ESY) is part of DTU Management Engineering and had, prior to the merger with DTU, been part of Risø National Laboratory for Sustainable Energy. ESY has a strong record on developing methods and models for the analysis of energy, environmental and economic issues, including policy analysis and the adaptation of new technologies to complex energy systems. ESY employs a multi-disciplinary team of about 15 scientists with four focus areas:
1) Macro-economics, econometrics, and forecast models
2) System modelling, optimization, and simulation
3) Micro-economics, regulation, and policy analysis
4) Evaluation and integration of new energy technologies.

Major research interests include fluctuating energy resources, demand flexibility, risk, uncertainty, and integrated design of energy systems; integrated assessment of environmental and socio-economic indicators; and analysis of policy instruments for the transition towards renewable energy systems, including innovative market designs and EU policies.

The ESY team has undertaken a number of EU, national and regional projects in regards to renewable energies in energy systems modelling and policy analysis of the electricity sector and also in the heating, transport and waste sectors. The ESY team has an excellent network in the Nordic countries from previous and on-going cooperation with a number of universities, businesses and public authorities.

There is strong experience in project coordination within the group, in large and small research projects as well as public sector consultancy.

This and more information is available at DTU Management Engineering (DTU MAN)

Ea Energy Analyses is a private consulting company providing consulting services and conducting research in the field of energy and climate change. Ea Energy Analyses operates the Nordic region and abroad with project activities in Europe, North America, Asia and Africa. The company was started in 2005 and has 33 employees.
Ea's scope of work comprises analyses of energy systems from a technical, economic and environmental approach as well as analyses of energy and climate policy measures. Our analyses focus on new production technologies as well as savings and adaption of the energy consumption to a more intelligent energy system.
Ea Energy Analyses has, together with the Danish Energy Agency, the shared right to the SISYFOS model. The model calculates security of supply using stochastic analysis (Monte Carlo simulations) to find the frequency of situations, where the demand of electricity cannot be met. The model calculates the probability of situations where not all electricity demand can be served (ENS). The probability of outage at power plants as well as transmission connections is used to calculate ENS by running a huge number of cases, e.g. 5-10 million. Thereby, even rare situations can be described.

More information is available at EA Energy Analyses (EA)