THERMAL SCIENCE

International Scientific Journal

OPTIMIZATION OF ENERGY MIX AND POSSIBILITIES OF ITS APPLICATION IN ENERGY TRANSITION USING MULTICRITERIA APPROACH

ABSTRACT
The process of optimizing energy production is becoming increasingly important with the development and use of RES and energy efficiency measures. Given that these are optimization processes that require taking into account several indicators according to which the set of optimal technologies for energy production will be ranked, and take their percentage share in the total percentage of energy supply. Indicators describing the process of energy production and utilization include technological, environmental, economic, energy, and limiting domains of their application. From that aspect, when the energy supply process is optimized from several possible alternatives according to the optimization factors defined in this way and the percentage of participation from each is calculated, a very realistic picture of the optimal energy mix of a state or local community is obtained. In this paper, a comparison of the energy mix for Copenhagen, Denmark and Banja Luka, Bosnia and Herzegovina is made. The process of comparing energy mixes was made possible by a previously developed mathematical model for optimizing and searching for an optimal energy mix based on the compromise ranking method, also known as the VIKOR, as well as entropy and analytic hierarchy process methods for defining weight values of criteria describing energy mix. Since we know that the introduction of new RES and the replacement of fossil fuels with them is a process of transition of existing energy sectors, the approach presented in this paper would greatly facilitate the transition process itself.
KEYWORDS
PAPER SUBMITTED: 2022-10-13
PAPER REVISED: 2022-12-06
PAPER ACCEPTED: 2022-12-19
PUBLISHED ONLINE: 2023-01-14
DOI REFERENCE: https://doi.org/10.2298/TSCI221013224M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 3, PAGES [2501 - 2512]
REFERENCES
  1. Djaković, D, D., et al., Multi-Criteria Analysis as a Support for National Energy Policy Regarding the Use of Biomass-Case Study of Serbia, Thermal Science, 20 (2016), 2, pp. 371-380
  2. Jovanović, M. P., et al., Analysis of Different Scenarios and Sustainability Measurement in the District Heating Sector in Serbia, Thermal Science, 23 (2019), 3B, pp. 2085-2096
  3. Bhattacharya, A., Kojima, S., Power sector investment risk and renewable energy: A Japanese case study using portfolio risk optimization method, Energy Policy 40 (2012), pp. 69-80
  4. Mendes, C., Soares, I., Renewable Energies impacting the optimal generation mix: The case of the Iberian Electricity Market, Energy, 69 (2014), pp. 23-33
  5. Vidal-Amaro, J.J., et al., Optimal energy mix for transitioning from fossil fuels to renewable energy sources-The case of the Mexican electricity system, Appl. Energy 150 (2015), pp. 80-96
  6. Geem, Y.W., Kim, J.H., Optimal Energy Mix with Renewable Portfolio Standards in Korea, Sustainability 8 (2016), 5, pp. 1-14
  7. Mourmouris J.C., Potolias C. , "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece.", Energy Policy 52 (2013), pp. 522-530
  8. Kiss V.M. , "Modeling the energy system of Pécs - The first step towards a sustainable city.", Energy 80 (2015), pp. 373-387.
  9. Afgan, N.H., et al., Multi-Criteria Sustainability Assessment - a Tool for Evaluation of New Energy System, Thermal Science, 11 (2007), 3, pp. 43-53
  10. Škobalj, P. D., et al., Energy Indicators Impact in Multi-Criteria Sustainability Analyse of Thermal Power Plant Unit, Thermal Science, 21 (2017), 2, pp. 1143-1151
  11. Lund H., Mathiesen B. V., "Energy system analysis of 100% renewable energy systems-The case of Denmark in years 2030 and 2050," Energy, 34 (2009), 5, pp. 524-531
  12. Shahzad, M. K., et al., "Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software.," Renewable Energy,106 (2017) pp. 264-273
  13. Grujić, M., et al., Application of multi-criteria decision-making model for choice of the optimal solution for meeting heat demand in the centralized supply system in Belgrade, Energy, 67 (2014), 1, pp. 341-350
  14. Abdul, D., et al., "Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology," Renewable Energy, 184 (2022), pp. 1018-1032
  15. Ridha, H.M., et al., "Optimum Design of a Standalone Solar Photovoltaic System Based on Novel Integration of Iterative-PESA-II and AHP-VIKOR Methods,"MDPI Processes, 8 (2020), 3, pp.367
  16. Kaya, N., "A review on manufacturing applications of the VIKOR approach," BMIJ, 9 (2021), 4, pp. 1673-1695
  17. Sasikumar, G., Sivasankari, A., "Multi-criteria decision making for solar panel selection using an integrated analytical hierarchy process and VIKOR approach: a case study," International Journal of Business Information Systems, 40 (2022), 2, pp 285-298
  18. Kaya T., Kahraman C., Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul, Energy, 35 (2010), 6, pp. 2517-2527
  19. San Cristóbal J.R. , "Multi-criteria decision-making in the selection of a renewable energy project in Spain: The VIKOR method.", Renewable Energy, 36 (2011), pp. 498-502
  20. Yazdani M., Graeml F.R., "VIKOR and its Applications: A State-of-the-Art Survey," International Journal of Strategic Decision Sciences, 5 (2014), 2, pp. 56-83
  21. Dyer, J.S., "Remarks on the analytic hierarchy process," Management science, 36 (1990), 3, pp. 249-258
  22. Shannon, C.E., "A mathematical theory of communication," The Bell System Technical Journal, 27 (1948), pp. 379-423
  23. Makkonen, S., Cost-Optimal Implementation of District Heating and Cooling to an Existing Community, Master's Thesis Aalto University, School of Engineering, Espoo, FI, 2017
  24. Vasković, S., Razvoj modela za ocjenu prihvatljivosti energetskih lanaca pri proizvodnji energije i energenata iz biomase, Doktorska disertacija, Univerzitet u Istočnom Sarajevu, Mašinski fakultet, Istočno Sarajevo, BA, 2016
  25. Saaty, T.L., The Analytic Hierarchy Process, McGraw-Hill, NewYork, USA, 1980
  26. Opricovic, S., Multicriteria Optimization of Civil Engineering Systems, Ph. D. Thesis, University of Belgrade, Faculty of Civil Engineering, Belgrade, SRB, 1998
  27. Kabakian, V., El Sayed, L., Optimal renewable energy mix of the power sector by 2020: Investment Cost Implications for Lebanon, This report was prepared by the team working for the Climate Change Coordination Unit (CCCU) Beirut, Lebanon, 2015
  28. Energystyrelsen, "Technology data catalog," Danish Energy Agency, Kopenhagen, ens.dk/sites/ens.dk/files/Analyser/technology_data_catalogue_for_el_and_dh.pdf
  29. Hirth L., "The European Electricity Market Model EMMA", www.pik-potsdam.de/members/hirth/emma
  30. Vučijak, B., et al., Multicriteria decision aid to sustainable hydropower design, Conference: The 6th Dubrovnik Conference on Sustainable Development of Energy, Water and Environment Systems At: Dubrovnik, Croatia, 2011, www.researchgate.net/publication/308032563
  31. Danish Energy Agency, "Energy Statistics 2015," Danish Energy Agency, Copenhagen, 2015
  32. Danish Energy Agency, "Energiscenarier frem mod 2020, 2035 og 2050 (Energy Scenarios towards 2020, 2035 and 2050)," Copenhagen, Denmark: Danish Energy Agency, 2014
  33. PwC Hrvatska, Okvirna energetska strategija BiH do 2035 godine, Sarajevo, 2018, Ministarstvo spoljne trgovine i ekonomskih odnosa, www.mvteo.gov.ba/data/Home/Dokumenti/Energetika/Okvirna_energetska_strategija_Bosne_i_Hercegovine_do_2035._BIH_FINALNA.PDF
  34. PwC Hrvatska, "Okvirna energetska strategija Federacije Bosne i Hercegovine do 2035," FMERI, 2018, fmeri.gov.ba/media/1359/okvirna_energetska_strategija_fbih_radna_verzija.pdf
  35. PwC Hrvatska, Strategija razvoja energetike Republike Srpske do 2035.godine, Banja Luka, 2021, Ministarstvo energetike i rudarstva Republike Srpske, www.vladars.net/sr-SP-Cyrl/Vlada/Ministarstva/mper/std/Documents/StrategijaEnergetike2035Latinica.pdf
  36. Elektroprenos BiH, 2020, www.elprenos.ba/GI/BS/2016/gi.html

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence