dc.contributor.advisor | Bruland, Oddbjørn | |
dc.contributor.author | Gogolashvili, Ioane | |
dc.date.accessioned | 2023-10-14T17:19:46Z | |
dc.date.available | 2023-10-14T17:19:46Z | |
dc.date.issued | 2023 | |
dc.identifier | no.ntnu:inspera:142713575:98311648 | |
dc.identifier.uri | https://hdl.handle.net/11250/3096552 | |
dc.description.abstract | Hydrologisk modellering er en avgjørende del av kraftmarkedet, og er en viktig faktor for økonomisk suksess og sikkerhet for vannkraftprosjekter. Denne studien implementerer PINE-HBV-modellen for å få de langsiktige prognosene for Enguri kraftverkssystemet i det vestlige Georgia. Prognosen brukes deretter som input for produksjonsoptimeringsmodellen laget med ProdRisk-programvare. De to modellene er testet for case-studien, fordi metodene som brukes i dag er empiriske. Denne studien er ment å være et av trinnene mot optimalisering av det georgiske vannkraftsystemet. | |
dc.description.abstract | Hydrological modelling is a crucial part of the power market, being an important factor for the financial success and ensured safety of hydropower projects. This study implements PINE-HBV model to get the long-term forecasts for the Enguri power plant system in western Georgia. The Forecast is then used as an input for the production optimization model created with ProdRisk software. The two models are tested for the case-study, because the methods currently used are empirical. This study is meant to be one of the steps towards optimization of the Georgian hydropower system. | |
dc.language | eng | |
dc.publisher | NTNU | |
dc.title | Hydrological forecasting and seasonal planning using PineHBV and ProdRisk: A case study for Enguri Powerplant cascade in Georgia | |
dc.type | Master thesis | |