Energy Policy Analysis and Modelling

Learning Outcomes

  1. explain economic principles in energy supply and demand, energy reserves, economics of fossil and renewable resources and understand importance of energy supply for the economy and society
  2. evaluate energy, economic and environmental characteristics important in planning of: thermal power plants, hydro power plants (run-of-river, reservoir, pump-storage), wind, solar and nuclear power plants
  3. explain methods and models for
  4. explain methods for power system planning: Least-cost planning and Integrated planning of resources
  5. identify possibilities for demand forecasting (principles, forecasting techniques, load duration curve) and typical data requirements
  6. explain decision making process for energy system developments (stakeholders, multi-criteria analyses in decision making process)
  7. apply specific energy models in order to analyse various energy and climate scenarios and develop simple case study and run model (PLEXOS, WASP, ESST, MESSAGE)
  8. explain the relationships in international energy and climate scenarios
  9. identify policy and economic dimensions of the energy choices to meets societal goals - both global and domestic
  10. explain European Union planning mechanism for public policy in Energy sector

Forms of Teaching

Lectures

Course teaching is organized through two teaching cycles. The first cycle consists of 7 weeks of direct instruction and an intermediate exam. The second cycle of classes includes 6 weeks of direct classes and a final exam. classes are conducted over a total of 15 weeks with a weekly load of 2 hours

Seminars and workshops

Through the work on the seminar, students will describe the results of work during laboratory exercises with the PLEXOS model for modeling and planning of electricity production capacities.

Independent assignments

Homework with homework.

Laboratory

In order to get acquainted with different models for planning and analysis of energy policies and their impact on the environment through five three-hour laboratory exercises, students will be introduced to the basic characteristics of the PLEXOS program.

Other

Demonstration exercises Demonstrations of work and exercises in the PLEXOS software package.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 60 % 7 % 60 % 7 %
Class participation 50 % 6 % 0 % 0 %
Seminar/Project 70 % 10 % 0 % 0 %
Mid Term Exam: Written 50 % 30 % 0 %
Final Exam: Written 55 % 27 %
Final Exam: Oral 20 %
Exam: Written 50 % 73 %
Exam: Oral 20 %

Week by Week Schedule

  1. Introduction to the energy systems, Importance of energy supply for the economy and society
  2. Energy modelling and analysis, Models of energy strategies to meet energy needs
  3. Current issues of the European energy economy
  4. Global geopolitics of energy, Intersection between international security, politics, and energy
  5. International relations and access to energy resources
  6. Infrastructure investment & Resource Adequacy, Policies for clean energy innovation
  7. Current world energy use
  8. Midterm exam
  9. Oil and gas markets
  10. Natural gas conventional and unconventional resources
  11. Future mix of resources necessary to achieve reliable and economical system performance
  12. Energy policies in the environmental, national security, and technology arenas
  13. Future balance of energy and power in the world
  14. Policy and economic dimensions of the energy choices to meets societal goals
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (3. semester)
Communication and Space Technologies (profile)
Free Elective Courses (3. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (3. semester)
Computer Engineering (profile)
Free Elective Courses (3. semester)
Computer Science (profile)
Free Elective Courses (3. semester)
Control Systems and Robotics (profile)
Free Elective Courses (3. semester)
Data Science (profile)
Free Elective Courses (3. semester)
Electrical Power Engineering (profile)
(3. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (3. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (3. semester)
Electronics (profile)
Free Elective Courses (3. semester)
Information and Communication Engineering (profile)
Free Elective Courses (3. semester)
Network Science (profile)
Free Elective Courses (3. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (3. semester)

Literature

Mohan Munasinghe, Peter Meier (1993.), Energy Policy Analysis and Modelling, Cambridge University Press
Farzaneh, Hooman (2019.), Energy Systems Modeling (Principles and Applications), Springer Singapore
F. Carl Knopf (2011.), Modelling, Analysis and Optimization of Process and Energy Systems, Wiley; 1 edition December 27, 2011, Wiley
Samuel Tesema Lakew (2015.), Renewable Energy System Modelling and Techno-Economic Analysis: Alternative Energy Solution for Developing Countries, LAP LAMBERT Academic Publishing
William T. Ziemba, S.L. Schwartz (1980.), Energy Policy Modeling: United States and Canadian Experiences, Springer
Thomas A. Adams II (2019.), Modeling and Simulation of Energy Systems, MDPI
George Giannakidis, Kenneth Karlsson, Maryse Labriet, B. Ó Gallachóir (2018.), Limiting Global Warming to Well Below 2 °C: Energy System Modelling and Policy Development, Springer
Vincent Kaminski (2005.), Energy Modelling (2nd edition), RiskBooks

For students

General

ID 222448
  Winter semester
5 ECTS
L3 English Level
L1 e-Learning
45 Lectures
15 Laboratory exercises

Grading System

90 Excellent
75 Very Good
60 Good
50 Acceptable