Sökning: "fischer policy"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden fischer policy.
1. Leveraging green hydrogen to decarbonise the aviation industry : A case study on electrofuels in Sweden
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : For the EU to reach its 2050 climate targets the aviation industry that is highly dependent on fossil fuels needs to drastically reduce its emissions. In the decarbonisation of the aviation industry drop-in sustainable aviation fuels (SAFs) have been identified as a promising solution to abate the industry’s emissions. LÄS MER
2. Techno-economic assessment for optimised renewable jet fuel production in Sweden
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The aviation industry contributes to more than 2% of global human-inducedCO2-emissions, and it is expected to increase to 3% by 2050 as demand for aviation grows. As the industry is still dependent on conventional jet fuel (CJF), one of the key elements to help decarbonise the industry is to transition to renewable jet fuel (RJF). LÄS MER
3. Demanding justice- Corporate responsibility for Climate Change impacts on Human Rights
Master-uppsats, Göteborgs universitet/Institutionen för globala studierSammanfattning : Climate change is one of the most complex challenges of our time, as its consequences are reflected in a variety of social and political areas that are interlinked. The problem of 'climate change' has evolved from an environmental problem, to a political issue and, ultimately to an object of jurisprudence. LÄS MER
4. Using Reinforcement Learning for Games with Nondeterministic State Transitions
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Given the recent advances within a subfield of machine learning called reinforcement learning, several papers have shown that it is possible to create self-learning digital agents, agents that take actions and pursue strategies in complex environments without any prior knowledge. This thesis investigates the performance of the state-of-the-art reinforcement learning algorithm proximal policy optimization, when trained on a task with nondeterministic state transitions. LÄS MER
5. Euro Area Sovereign Bond Spreads, Risk Aversion & Monetary Policy
D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : This paper provides a framework to disentangle the effects of uncertainty and risk aversion on Euro area sovereign bond yields vis-à-vis Germany, which were often confounded in previous studies. In a second step, the impact of European monetary policy on spreads through its impact on risk aversion is estimated. LÄS MER
