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Coping with the Dunkelflaute: Power system implications of variable renewable energy droughts in Europe
As it affects many countries simultaneously, a storage capacity of 159 TWh or 3% of yearly electricity demand remains required even in the extreme case of unconstrained geographical balancing.
Time Series Analysis
Physics and Society
General Economics
Economics
Quantifying the Dunkelflaute: An analysis of variable renewable energy droughts in Europe
As extreme droughts may span across the turn of years, single calendar year planning horizons are not suitable for modeling weather-resilient future energy scenarios.
Measuring the Dunkelflaute: How (not) to analyze variable renewable energy shortage
Defining, quantifying, and comparing such shortage events across different renewable generation technologies and locations presents a surprisingly intricate challenge.
Bidirectional coupling of a long-term integrated assessment model REMIND v3.0.0 with an hourly power sector model DIETER v1.0.2
For the simple configuration, we mathematically show that this coupling scheme corresponds uniquely to an iterative mapping of the Lagrangians of two power sector optimization problems of different time resolutions, which can lead to a comprehensive model convergence of both decision variables and (shadow) prices.
Comparison of power sector models by analyzing the impact of modeling features on optimal capacity expansion
We further find deviations in model results of optimal storage and transmission capacity expansion between regions and link them to variable renewable energy generation and demand characteristics.
Renewable Energy Targets and Unintended Storage Cycling: Implications for Energy Modeling
In this paper, we provide an analytical representation of different approaches for implementing minimum renewable share constraints in models, and show how these may lead to unintended storage cycling.
