Energy Planning Methods

(Metode energetskog planiranja)

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No of hours per week: 3  [2 + 1], one term   ECTS: 6

Lecturer: prof.dr.sc. Neven Duic - Neven.Duic@fsb.hr
Assistent: Dr. Goran Krajacic - Goran.Krajacic@fsb.hr

Study: PhD study of mechanical engineering
Course: process and energy
Orientation: energy

Course type:

Organization of learning activities:
- lecture
- exercises
- independent tasks
- individual work with mentor

Type of exercises:
Computer Laboratory, programming and using software

Organization of examination:
Evaluation of seminar project.
Evaluation of learning process and quality:
Evaluation of knowledge through given tasks. Seminar work.

Exam prerequisites:
Introduction to Energy Management, Thermal Power Plants, Energy Economics, Thermal engineering, Environmental Protection, Process Dynamics

Research topic:
Energy Management
Energy Planning

Course objective:
To train students for the energy systems planning, with particular emphasis on energy systems with a high penetration of renewable energy sources, modeling the demand and supply of energy and strategic thinking, taking into account available resources and technology, and economic, environmental and social factors. Introducing to students advanced energy planning methods for systems with a high share of renewable energy from intermittent sources (Renewislands and FAST). Analysis of the overall potential of renewable energy sources in a particular area and the needs for energy and other resources at the level of individual sectors of the economy. Assessment of the flexibility needs of energy systems for existing and future installed production capacity, energy storage, power management and regulation of the energy market. Setting the single and multi objective functions for optimization of energy systems under given constraints in short-term and long-term energy planning. Mastering the basics of computer programs for advanced energy planning (EnergyPLAN, Homer, H2RES, LEAP) and acquiring the needed skills for further independent research.


Learning outcomes:
Energy systems planning, focusing on high penetration of renewable energy sources, modeling the demand and supply of energy, strategic energy thinking, taking into account available resources and technology, and economic, environmental and social factors. Ability to use and upgrade of energy planning software.

Compulsory literature:
1. Maxime Kleinpeter: Energy Planning and Policy, UNESCO Energy Engineering Learning Programme, John Wiley & Son Ltd, 1996
2. International Energy Agency: Energy Technology Perspectives 2012: Pathways to a Clean Energy System, OECD Publishing, 2012
3. Clark W. Gellings: Demand-Side Management Planning, Fairmont Press, 1993
4. Henrik Lund: EnergyPLAN Advanced Energy Systems Analysis Computer Model - Documentation Version 10.0, Aalborg University, Denmark 2012
5. Joel N. Swisher, Gilberto S. de Martino Jannuzzi, Robert Y. Redlinger: Tools and Methods for Integrated Resource Planning: Improving Energy Efficiency and Protecting the Environment, UNEP Collaborating Centre on Energy and Environment, Riso National Laboratory, Denmark, 1997
6. International Energy Agency, Harnessing Variable Renewables: A Guide to the Balancing Challenge, OECD Publishing, 2011
7. Enerpedia - wikiEnergyPlanning

Recommended leterature:
1. Duić, Neven; Krajačić, Goran; Carvalho, Maria Graça. RenewIslands methodology for sustainable energy and resource planning for islands. // Renewable and Sustainable
Energy Reviews. 12 (2008) , 4; 1032-1062
2. Lončar, Dražen; Duić, Neven; Bogdan, Željko. An analysis of the legal and market framework for the cogeneration sector in Croatia. // Energy The International Journal.
34 (2009) , 2; 134-143
3. Krajačić, Goran; Duić, Neven; Zmijarević, Zlatko; Vad Mathiesen, Brian; Anić Vučinić, Aleksandra; Carvalho, Maria Da Graça. Planning for a 100% independent energy system based on smart energy storage for integration of renewables and CO2 emissions reduction. // Applied thermal engineering. 31. 2011
4. Lund, Henrik. Renewable Energy Systems - The Choice and Modeling of 100% Renewable Solutions. Academic Press - Elsevier, London, 2010.

URL links:
Links to Energy System Analysis Models