Energy planning



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Energy system development planning

   

No of hours per week: 3  [2 + 1], one term   ECTS: 4

Lecturers: prof.dr.sc. Neven Duic - Neven.Duic@fsb.hr
Goran Krajačić - Goran.Krajacic@fsb.hr
Assistent: Tomislav Pukšec - Tomislav.Puksec@fsb.hr

Study: undergraduate (BSc) study of mechanical engineering
Course: process and energy
Orientation: energy
Term: IV term

Course type:
Elective-field-related

Knowledge assessment:
exam

Type of exercises:
Laboratory

Exam prerequisites:
none
 

Course objective:
The aim is to qualify students for: energy systems planning, based on request/demand offering/proposal modelling, energy strategic thinking considering all available resources and technologies, economical, environmental and sociogical factors.

Recommended literature:
1. Maxime Kleinpeter: Energy Planning and Policy, UNESCO Energy Engineering Learning Programme, John Wiley & Son Ltd, 1996
2. X. Wang, J. R. McDonald: Modern Power System Planning, McGraw-Hill, 1994.
3. Clark W. Gellings: Demand-Side Management Planning, Fairmont Press, 1993
4. Enerpedija - wikiEnergetskoPlaniranje
5. Energy Technology Perspectives 2012 , IEA, 2012
6. Energy Technology Perspectives 201 4, IEA, 2014
7. Energy Technology Perspectives 201 5, IEA, 2015
8. Lund, H. Renewable Energy Systems, The Choice and Modeling of 100% Renewable Solutions, Elsevier, 2010

Papers:
1. Krajačić, G., Duić, N., Zmijarević, Z., Mathiesen, B. V., Anić Vučinić, A., Carvalho, M.G., 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) 2073-2083
2. Tomislav Pukšec, Goran Krajačić, Zoran Lulić, Brian Vad Mathiesen, Neven Duić, Forecasting long-term energy demand of Croatian transport sector, Energy, Volume 57, 1 August 2013, Pages 169-176, ISSN 0360-5442, http://dx.doi.org/10.1016/j.energy.2013.04.071.
3. Pero Prebeg, Goran Gasparovic, Goran Krajacic, Neven Duic, Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles, Applied Energy, Available online 1 April 2016, ISSN 0306-2619, http://dx.doi.org/10.1016/j.apenergy.2016.03.086.
4. D.F. Dominković, I. Bačeković, B. Ćosić, G. Krajačić, T. Pukšec, N. Duić, N. Markovska, Zero carbon energy system of South East Europe in 2050, Applied Energy, Available online 19 March 2016, ISSN 0306-2619, http://dx.doi.org/10.1016/j.apenergy.2016.03.046

URL links:
Exam


Week Lectures   Exercises

1. Introduction.The need for energy planning.   Essay.Test.
2. Characterisation of present situation I. Population. Economy by sectors. Final consumption of energy by sectors. Energy transformations. Primary energy.   Case study: Characterisation of base year case, using of LEAP model. Test.
3. Characterisation of present situation II. Bottom up approach.   Case study: Characterisation of base year case, 2nd part, using of LEAP model. Test.
4. Demographic scenario.   Case study: Demographic scenario, using of GeoSim model. Test.
5. Macroeconomical scenario. Sector analysis.   Exercise: Up-bottom approach. Test.
6. Final consumption scenario - sector analysis I. Agriculture, fishery and forestry. Industry and mining. Services. Transport.   Case study: Final consumption scenario, using of LEAP model. Test.
7. Final consumption scenario - sector analysis II. Residential energy consumption.   Case study: Final consumption scenario, 2nd part, using of LEAP model. Test.
8. Colloquy.   Colloquy.
9. Resources availability. Security of supply. Energy prices. Energy technologies availability. Influence of economical factors. Influence of environmental factors. Influence of system complexity. Influence of sociological factors.   Essay. Test.
10. Power system planning I. Vertically integrated system I. Case characterisation. Choosing potential technologies. Choosing potentional candidates.   Case study: Smart power system planning, using of EnergyPLAN model. Test.
11. Power system planning II. Vertically integrated system II. Optimisation of capacity adding dynamics. Goal function. Penalty function.   Case study: Smart power system planning, 2nd part, using of EnergyPLAN model. Test.
12. Power system planning III. Planning in free market circumstances. Market segmenting. Tariff system. Spot market.   Case study: Simulation of spot market and feasibility in peak load regime.
13. Power system planning IV. Island regime. Choosing potential technologies. Choosing potentional candidates. System modelling. Energy storage.   Case study: Island power system planning, using of HOMER i H2RES model.
14. Energy system planning. Primary energy demand. Supply capacities planning. Influence of economical factors. Influence of environmental factors. Influence of system complexity. Influence of sociological factors.   Case study: Gas network development planning. Test.
15. Exam.   Exam.


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