Pregled bibliografske jedinice broj: 1153770
Flexibility Options in 100% Renewable Energy World Regions
Flexibility Options in 100% Renewable Energy World Regions // Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems / Ban, Marko et. al. (ur.).
Zagreb: SDEWES, 2021. 0064, 18 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1153770 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Flexibility Options in 100% Renewable Energy World Regions
Autori
Batas Bjelic, Ilija ; Rajaković, Nikola ; Pfeifer, Antun ; Herc, Luka ; Duić, Neven
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Proceedings of 16th Conference on Sustainable Development of Energy, Water and Environment Systems
/ Ban, Marko et. al. - Zagreb : SDEWES, 2021
Skup
16th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)
Mjesto i datum
Dubrovnik, Hrvatska, 10.10.2021. - 15.10.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
flexibility ; energy systems ; simulation ; optimization ; 100% renewable ; world
Sažetak
Designing the energy systems for high variable renewable energy penetrations, one should look for the flexibility of an energy systems that may be provided from various sources at supply, demand or network level. The flexibility can be provided from different options including, but not limiting to: (1) electricity demand (household and industry), (2) thermal (power, CHP) plants, (3) power to heat (CHP, heat pump district/individual), (4) transport (V2G + smart charge, synthetic fuels), (5) interconnection and (6) storage (batteries, pumped hydro, rockbed, compressed air, hydrogen…). The flexibility might be provided according to different criteria: economics, technical complexity, utilization, acceptability, feasibility, material use. Further, different constraints regarding percentages, shares, emission reductions… might be set according to proclaimed sustainable energy policy in certain region. Therefore, we will simulate various flexibility options according to their availability and priority assumed by authors for each region of nine World regions (USMCA, Latin America, United Kingdom, China, Russia, South-East Asia and Oceania, Rest of the world, ) using EnergyPLAN-Python permutation framework . This way number of synthetically generated temporary scenarios before finding optimal one and the execution time is increased in comparison to optimization approach.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb