Joint Nordic Master’s degree programme, 2 years

Innovative Sustainable Energy Engineering

Picture illustrates storm at sea

Energy Systems

Study tracks

First year: Aalto. Second year: KTH.

Background:
Affordable access to essential services underpins development. Energy fuels many such services.  The ‘energy-system' harnesses resource, transforms it to energy carriers that are used in appliances and machinery to provide those services. In order to provide services to current and future generations, the ‘energy-system' itself needs to be sustainable. This ‘energy system' may impact and interact with the economy, the environment (including other physical resource or commodity systems) and society. The effects of this impact and interaction should also be sustainably managed. The energy decision maker is thus concerned with: (i) enabling appropriate, affordable and adequate service access; (ii) ensuring the energy-system can do so in a sustainable manner; and (iii) ensure that the broader interactions between systems does not compromise the planet's sustained development.

The goal of the program is to:
Expose the student to the context, role and process of energy systems analysis for medium to long term decision making; Have the student apply a range of standard energy modeling techniques to stereo-typical problems; Elucidate the role of energy modeling for Policy, technology, economic assessments; Have the student design, implement and apply a fully-fledged optimization energy systems model to a given assessment.

In the process, the student should understand:
Why Energy Systems (rather than descrete energy technology) is important and how systems are analysed and modelled. The process of energy-environment-economic (3E) modeling: knowing why modelling is important, as well as who the stakeholders and decision makers are. – Introduction to the formulation of accounting, econometric, input-output, CGE and optimization modeling. Development of energy service and energy demand projections. Characterization of resources, technologies, economic, policy, and other elements to be considered within the modeling process. The role of scenarios and assumptions (forecasting, back casting etc.) and the importance of transparency. The relationship between modeling and action (policy / investment formulation / technology development). Typical model scopes, types and their application; Assessment of limitations and dealing with uncertainty.

For more information take a look at the Study plan 2017/2018


Master Thesis Information