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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorOosterlee, C.W.
dc.contributor.authorKooi, Justus van
dc.date.accessioned2023-12-07T00:00:56Z
dc.date.available2023-12-07T00:00:56Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/45609
dc.description.abstractWe developed a market equilibrium model based on a constrained quadratic optimisation problem that maximizes the profit margins of liquefied natural gas (LNG) shipping companies. In 2022, the European LNG imports and prices have increased sharply due to the reduced pipeline gas from Russia. The market equilibrium model is calibrated to realistic trade volumes and prices for the most influential regions in the LNG market. We calibrate the market equilibrium model by solving a bilevel optimisation problem, to obtain ask and bid parameters, which cannot be collected directly from market data. We present a scenario analysis, in which we show that European prices would have increased by 5% if China had not been in lockdown during 2022. To illustrate the usability and limitations of our model, we also investigate the effects of the Panama Canal drought on trade flows and the impact of Australian port labour strikes on Asian imports based on the market data from August 2023.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectWe developed a market equilibrium model based on a constrained quadratic optimisation problem that maximizes the profit margins of liquefied natural gas (LNG) shipping companies. The model is calibrated using bilevel optimisation. We perform several scenario analysis of realistic events to show the capabilities and limitations of this model.
dc.titleMarket Equilibrium Model for LNG Shipments
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsMarket equilibrium model; Constrained quadratic optimisation; Bilevel optimisation; Mathematical Modelling; Global LNG trade
dc.subject.courseuuMathematical Sciences
dc.thesis.id26356


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