Vis enkel innførsel

dc.contributor.advisorAdaramola, Muyiwa Samuel
dc.contributor.authorHansen, Nils Ola
dc.coverage.spatialNorwaynb_NO
dc.date.accessioned2018-10-01T08:41:10Z
dc.date.available2018-10-01T08:41:10Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11250/2565395
dc.description.abstractThis thesis investigates the net present cost (NPC) and levelized cost of energy (LCOE) for different grid connected energy systems with focus on renewable hybrid configurations for the locations Grinder, Trondheim, Bergen, Stavanger and Kristiansand in Norway. The load demand is retrieved in hourly data from the household at Grinder for the year 2017, and used for the other selected locations. The renewable resources and grid prices are retrieved for each selected location. The renewable technologies used in the thesis is the solar PV IBC poly 270 CS4 and the wind turbine Gaia-Wind 133. To conduct the analysis, HOMER software is used. HOMER calculates the optimal system configurations and the belonging net present cost and levelized cost of energy for each system configuration. The analysis conducts different scenarios which includes subsidies from Enova, feed-in tariff from Otovo, three different production subsidies from the el-certificate market and future grid prices. The Grid-only without local power generation had the lowest NPC for all the selected locations, but several of the HRES achieved lower LCOE. When the subsidy from Enova and the feed-in tariff from Otovo were included, the Grid+PV system achieved the lowest NPC for Kristiansand. For Grinder and Stavanger it was close to the NPC for the Grid-only system. When future grid price was included with subsidy from Enova, feed-in tariff from Otovo and production subsidies for el-certificates, the Grid+WT system achieved the lowest NPC for both Stavanger and Bergen. Even the Grid+PV+WT(1) achieved lower NPC than the Grid-only system. For Grinder, Trondheim and Krisitansand, the Grid+PV was the system with the lowest NPC. By reducing the PV cost multiplier by 60%, the Grid+PV system would have the lowest NPC without any form of financial support. If the wind turbine cost multiplier is reduced by 60%, the NPC would still be higher than the Grid-only system.nb_NO
dc.description.abstractDenne oppgaven undersøker netto nåtidskostnad og energikostnad for ulike nettilkoblede energisystemer med fokus på fornybare hybridkonfigurasjoner. I oppgaven er stedene Grinder, Trondheim, Bergen, Stavanger og Kristiansand undersøkt for å sammenligne potensialet for et hybrid energisystem ulike steder i Norge. I analysen er elektrisitetsbehovet hentet i timesdata fra husstanden på Grinder for året 2017, og brukt for de resterende stedene. Energiressursene og strømprisene er hentet fra hver enkelt lokasjon. De fornybare teknologiene som er brukt i analysen er solcellene IBC poly 270 CS4 og vindturbinen GaiaWind 133. For å utføre analysen er dataprogrammet HOMER benyttet. HOMER beregner de optimale systemkonfigurasjonene og tilhørende netto nåtidskostnad og energikostnad for hver av de. I analysen er det utført ulike scenarioer som tar for seg investeringsstøtte fra Enova, tilbakesalgspris for overskuddstrøm fra Otovo, tre ulike produksjonspriser fra Elsertifikater og fremtidig pris på strøm.nb_NO
dc.language.isoengnb_NO
dc.publisherNorwegian University of Life Sciences, Åsnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectFornybar energinb_NO
dc.titleFeasibility study for different grid-connected hybrid renewable energy system configurations, for five selected locations in Norwaynb_NO
dc.typeMaster thesisnb_NO
dc.description.versionsubmittedVersionnb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400nb_NO
dc.source.pagenumber90nb_NO
dc.description.localcodeM-FORNYnb_NO


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal