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Pregled bibliografske jedinice broj: 1150990

Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago


Mimica, Marko; Dominković, Dominik F.; Kirinčić, Vedran; Krajačić, Goran
Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago // Applied Energy, 305 (2022), 117855, 19 doi:10.1016/j.apenergy.2021.117855 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1150990 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago

Autori
Mimica, Marko ; Dominković, Dominik F. ; Kirinčić, Vedran ; Krajačić, Goran

Izvornik
Applied Energy (0306-2619) 305 (2022); 117855, 19

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Energy planning ; Soft-linking ; Calliope modeling framework ; Power flow ; Renewable energy sources ; Energy system analysis

Sažetak
This present study offers a novel approach for the improvement of energy planning. This has become increasingly important as higher penetration of variable energy resources and increased interconnection between the different energy sectors require more detailed planning in terms of spatiotemporal modeling in comparison to the presently available approaches. In this study, we present a method that soft-linked the energy planning and power flow models, which enabled fast and reliable solving of optimization problems. A linear continuous optimization model was used for the energy system optimization and the non-linear problem for the power system analysis. The method is used to compare different energy planning scenarios ; further, this also offers the possibility for implementation assessment of the proposed scenarios. The method was applied to interconnected islands for five different scenarios. It was determined that the detailed spatial approach resulted in 26.7% higher total system costs, 3.3 times lower battery capacity, and 14.9 MW higher renewable energy generation capacities installed than in the coarser spatial representation. Moreover, the results of the power flow model indicated that the highest voltage deviation was 16% higher than the nominal voltage level. This indicates the need for inclusion of implementation possibility assessments of energy planning scenarios.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekti:
EK-H2020-824433 - Maximizing the impact of innovative energy approaches in the EU islands (INSULAE) (Krajačić, Goran, EK - H2020-LC-SC3-2018-ES-SCC) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka,
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Goran Krajačić (autor)

Avatar Url Vedran Kirinčić (autor)

Avatar Url Marko Mimica (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Mimica, Marko; Dominković, Dominik F.; Kirinčić, Vedran; Krajačić, Goran
Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago // Applied Energy, 305 (2022), 117855, 19 doi:10.1016/j.apenergy.2021.117855 (međunarodna recenzija, članak, znanstveni)
Mimica, M., Dominković, D., Kirinčić, V. & Krajačić, G. (2022) Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago. Applied Energy, 305, 117855, 19 doi:10.1016/j.apenergy.2021.117855.
@article{article, author = {Mimica, Marko and Dominkovi\'{c}, Dominik F. and Kirin\v{c}i\'{c}, Vedran and Kraja\v{c}i\'{c}, Goran}, year = {2022}, pages = {19}, DOI = {10.1016/j.apenergy.2021.117855}, chapter = {117855}, keywords = {Energy planning, Soft-linking, Calliope modeling framework, Power flow, Renewable energy sources, Energy system analysis}, journal = {Applied Energy}, doi = {10.1016/j.apenergy.2021.117855}, volume = {305}, issn = {0306-2619}, title = {Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago}, keyword = {Energy planning, Soft-linking, Calliope modeling framework, Power flow, Renewable energy sources, Energy system analysis}, chapternumber = {117855} }
@article{article, author = {Mimica, Marko and Dominkovi\'{c}, Dominik F. and Kirin\v{c}i\'{c}, Vedran and Kraja\v{c}i\'{c}, Goran}, year = {2022}, pages = {19}, DOI = {10.1016/j.apenergy.2021.117855}, chapter = {117855}, keywords = {Energy planning, Soft-linking, Calliope modeling framework, Power flow, Renewable energy sources, Energy system analysis}, journal = {Applied Energy}, doi = {10.1016/j.apenergy.2021.117855}, volume = {305}, issn = {0306-2619}, title = {Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago}, keyword = {Energy planning, Soft-linking, Calliope modeling framework, Power flow, Renewable energy sources, Energy system analysis}, chapternumber = {117855} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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