University of Twente Student Theses


Modelling the dynamic greenhouse gas emission intensity of the Dutch electricity grid

Jansen, B.J. (2023) Modelling the dynamic greenhouse gas emission intensity of the Dutch electricity grid.

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Abstract:Electrical power in the grid is generated by an increasingly dynamic composition of sources. This is a result of a growing share intermittent renewable energy sources and dynamic power consumption. Different types of generation show large variations in life cycle environmental impact. Therefore, the environmental impact of electricity use is time dependent. This thesis aims to model the dynamic global warming potential of electricity consumption. This thesis presents a methodology for determining the dynamic Greenhouse Gas (GHG) emission intensity of an electricity grid. Additionally a model tracking the GHG emission intensity of the Dutch grid, the Open Dynamic Electricity Composition Tracker, is presented and validated with measured data. The ODECT results show a steady decline as well as growing volatility of the GHG emission intensity of the Dutch grid. In conclusion, current methods of carbon accounting fail to show the large potential for GHG emission reduction present in the dynamic aspects of the electricity mix. Insight in these dynamic aspects allows for lowering the carbon footprint of power consumption though the use of demand side management. Time granular carbon accounting and electricity pricing provide fair methods of allocating emissions to consumers, incentivising change in consumption behaviour. Furthermore, the transition towards a low-carbon electricity supply will be accelerated by standard open methodology as opposed to the current incomplete models.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Subject:30 exact sciences in general, 43 environmental science, 53 electrotechnology
Programme:Sustainable Energy Technology MSc (60443)
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