ESRIG-EES colloquium: Steijn van der Zwaag and Victhalia Zapata, MSc EES student
|When:||Tu 10-07-2018 16:00 - 17:00|
|Where:||5159.0010, Energy Academy, Nijenborgh 6|
Title: Costs and Emission of Battery Electric Vehicles: a techno-economic analysis of total cost of ownership and environmental impact from a business perspective
By: Steijn van der Zwaag, MSc EES student
The transport sector is a major contributor to global warming and has a large impact on air quality. To limit global warming within 2 degrees and limit millions of premature deaths from poor air quality, transportation needs to become more sustainable. Battery electric vehicles (BEV’s) seem to be the most pronounce technology at the moment to ensure this change. However, the adoption of BEV’s is going steadily but slowly. The retail prices of BEV’s are much higher compared to internal combustion engine vehicles and their range is often limited. Retail price is, however, not a fair indicator of cost-competitiveness. To assess the cost-competitiveness, this thesis analysed the Total Cost of Ownership (TCO) of BEV’s. In addition, their reduction in emissions is also analysed. The research has been performed during an internship at Royal HaskoningDHV, which provided as case in this thesis as the firm is a real frontrunner in electric mobility.
Title: End use hourly electricity demand patterns from stylized parameters.
By: Victhalia Zapata, MSc EES student
The current energy sector relies in a large proportion in non-renewable fossil sources. However, a more sustainable and decarbonized electricity system is planned to be achieved with larger diversification of energy sources in which renewable ones have the largest share. They include the increasingly competitive variable renewable energy sources (VRE) solar and wind energy. Though, because of their variable nature, these sources represent a challenge for maintaining the balance between electricity supply and demand and therefore the security of supply. Further, it is expected a growth in electricity demand for the coming years driven by economic growth in developing countries. For all this, an endogenous and dynamic understanding of hourly electricity demand is needed. An important tool for understanding power dynamics in the context of energy decarbonization strategies is integrated assessment global models as IMAGE-TIMER. However, due to its global (26 regions) scope and time horizon (100 years), they have shortcomings when representing short term issues. This research improves such demand by generating hourly electricity demand patterns by end use from stylized relationships between climate parameters and electricity demand. This methodology enables to better capture the dynamics between electricity demand and supply within the different IMAGE-TIMER scenarios by obtaining hourly electricity demand patterns that change over time and between the different world regions.