Essays about: "fuel index"
Showing result 16 - 20 of 43 essays containing the words fuel index.
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16. The effect of environmental policies on CO2 emissions - using the environmental policy stringency index
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : The carbon concentration in the air has increased by 50 percent since pre-industrial times and continues to increase every year. Climate change is, therefore, a significant challenge today. READ MORE
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17. Discounting Transition Risk : The Development of a Climate Risk Model for Equity Portfolios
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : To mitigate climate change, the transition to a low-carbon economy is imperative. Even though this transition poses unprecedented economic and social risks, academic research regarding the impacts of such risks on the financial sector is limited. READ MORE
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18. Comparison of Miscanthus grass lignin with spruce lignin from organosolv process for nanoparticles production
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : There is a growing global energy demand and the society is forced to shift towards renewable energy sources due to the depletion of fossil fuels. Lignocellulosic biomass is a renewable resource available in vast amounts and could therefore have the potential to become a primary source for fuel production. READ MORE
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19. Case Study: Future Scenarios of Japan’s Energy Supply System in the Aftermath of the Fukushima Daiichi Nuclear Power Disaster
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : Nine years have passed since the Fukushima Daiichi nuclear disaster (FDND). The Japanese government has been facing the issue of striking a balance among economy, environment, and social opinions for its energy transition policy. READ MORE
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20. Modeling of fuel consumption in a road network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The fuel consumption accounts for a large portion of operational cost for logistics companies and hence building an accurate fuel prediction model is of the key importance. Recently machine learning methods have been widely used in this area, and data like historical GPS data, road conditions, weather conditions are involved when building such models. READ MORE