Energy Policy Analysis and Modelling
Lecturers
Course Description
Study Programmes
University graduate
Learning Outcomes
- 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
- 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
- explain methods and models for
- explain methods for power system planning: Least-cost planning and Integrated planning of resources
- identify possibilities for demand forecasting (principles, forecasting techniques, load duration curve) and typical data requirements
- explain decision making process for energy system developments (stakeholders, multi-criteria analyses in decision making process)
- 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)
- explain the relationships in international energy and climate scenarios
- identify policy and economic dimensions of the energy choices to meets societal goals - both global and domestic
- explain European Union planning mechanism for public policy in Energy sector
Forms of Teaching
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 workshopsThrough 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 assignmentsHomework with homework.
LaboratoryIn 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.
OtherDemonstration 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 % | 70 % | 8 % | ||
Class participation | 50 % | 6 % | 0 % | 0 % | ||
Seminar/Project | 70 % | 10 % | 70 % | 8 % | ||
Mid Term Exam: Written | 50 % | 30 % | 0 % | |||
Final Exam: Written | 55 % | 27 % | ||||
Final Exam: Oral | 20 % | |||||
Exam: Written | 50 % | 64 % | ||||
Exam: Oral | 20 % |
Week by Week Schedule
- Introduction to energy systems, the importance of energy supply for the economy and society Introduction to policy analysy and policy modelling Energy Policy Analysis Scenario Planning: The Link Between Future and Strategy Concepts in Policy Analysis Energy data: Sources, uncertainties, visualization Energy Systems Modelling for Decision-Making
- Energy modelling and analysis Introduction to energy models Models and Simulation Classification of Energy Models Optimization Methods Modelling net-zero emissions energy policies for sustainable development Types of energy system modelling tools Bottom-up and top-down modelling tools Categorisation of energy modelling tools energy Modelling System (PLEXOS) as a sample structure.
- Current issues of European energy policy and economy Modelling tools for EU analysis The role of transmission and energy storage in European decarbonization towards 2050 Role of Distributed Energy Resources in the Energy Transition The Future of Renewable Support Mechanisms . - Renewable support mechanisms in EU Regulatory Menu for Integration of Renewables
- Energy system Analysis What is it needed for? How does it support policy makers? What is an energy system and how can it be represented? What are energy system models needed for? What is their role in supporting energy policy?
- The Policy Analysis Process Introduction to Energy Policy The Need for Simple Methods of Policy Analysis and Planning Establishing Evaluation Criteria Identifying Alternatives Evaluating Alternative Policies Scenario analyses Types of scenario analyses used in energy systems analysis (normative, explorative, predictive) Examples and outcomes of published scenario analyses.
- Globalna geopolitika energetike, presjek između međunarodne sigurnosti. politike i energetike Historical development of the production and use of energy The global competition for natural resources Resource depletion Energy and development, Life cycle analysis Energy poverty and equity issues
- Technologies & Fuels and Policy Cases Fuels Fossil fuels: Coal, Natural gas and oil RES A global renewable energy roadmap: Comparing energy systems models Policy instruments for low Carbon technologies Review of energy system flexibility measures to enable high levels of variable renewable electricity
- Midterm exam
- OModeling of Energy Demand, Supply and Price Designing an energy system optimization problem Structure of linear optimization energy system models Creating the algebraic formulation of a linear optimization energy system model from scratch.
- Energy Use and Environmental Impacts Energy and the environment Climate change and the energy system Climate policy and low-carbon energy technologies Climate change I: Basics, scale, uncertainty Climate change II: Insights from mod Energy policies and environmental protection, national security and technologies
- Energy planning and simulation of system operation and operating characteristics of thermal power plants The most important issues of power planning Energy planning program (creating an energy strategy)
- Nuclear Energy Nuclear Energy in Long-Term System Models: A Multi-Model Perspective Nuclear Implications for Policy and Planning
- Croatian energy strategy and policy NECP Low carbon strategy Hydrogen strategy EU i HR
- Power exchanges, CROPEX/Electricity market and trading and the example of HEP stores.
- Final exam