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MJ2382 Energy Data, Balances and Projections 6.0 credits

Given the central role of energy in sustainable development, decision-makers need well-grounded insights about the current status and future developments of the energy systems to plan accordingly. The course MJ2382 Energy Data, Balances and Projections gives an in-depth look at how energy demand (electricity and all fuels) in diverse countries can be studied, together with exploring basic energy system economic concepts related to energy infrastructure investments, energy-environment economics and the role of indicators for sustainable development.

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Headings with content from the Course syllabus MJ2382 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The overall objective of the course is to explore basic energy system concepts related to energy data, energy infrastructure investments, energy-environment economics and the role of indicators for sustainable development.

The students will gain practical experience in the use of a range of economic tools and models. These include basic linear programming techniques, the economic interpretation of energy models and economic indicators relating to policy and technology scenarios. In a group project, they will use an energy system model to map key economic indicators to sustainable development goals, and further develop their critical skills in modelling and results interpretation.

Intended learning outcomes

After passing the course, the students should be able to:

  1. Explain why political decisions and planning for the development of sustainable national energy systems require a reliable energy balance and prognoses for future energy requirements.
  2. Interpret the most important aspects of a national energy balance and its application.
  3. Describe the economic drivers of long term energy transitions and critique how these are modelled.
  4. Develop and apply a techno-economic model to policies, technologies and other interventions using scenario analysis.
  5. Analyze key outputs of techno-economic models, including system costs and shadow prices, in combination with off-model data and interpret in terms of their social, economic and environmental dimensions and sustainable development.

Course disposition

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Literature and preparations

Specific prerequisites

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Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • LABA - Laboratory work, 0.5 credits, grading scale: P, F
  • PROA - Project, 3.0 credits, grading scale: A, B, C, D, E, FX, F
  • SEMA - Seminar, 0.5 credits, grading scale: P, F
  • TENA - Written exam, 2.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Profile picture Francesco Fuso-Nerini

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web MJ2382

Offered by

ITM/Energy Technology

Main field of study

Mechanical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted


Francesco Fuso-Nerini (

Transitional regulations

Students who have not completed the course with a previous set of examining modules will either be examined within the framework of the new modules or alternatively be offered replacement assignments for a period of three years.