In the last two decades, feed-in tariffs (FIT) and renewable portfolio standards (RPS) have emerged as two of the most popular policies for supporting renewable electricity (RES-E) generation in the developed world. A few studies have assessed their effectiveness, but most do not account for...

We examine the effects of future renewable expansion in Germany on residual load and renewable surplus generation for policy-relevant scenarios for 2022, 2032 and 2050. We also determine the storage capacities required for taking up renewable surpluses for varying levels of accepted curtailment....

This paper studies technological change in renewable energies, providing empirical evidence on the determinants of innovative activity with a special emphasis on the role of knowledge spillovers. We investigate two major renewable energy technologies - wind and solar - across a panel of 21 OECD...

The German Renewable Energy Act (EEG) has been very successful in promoting the deployment of wind power plants and other renewable energy power generating technologies in Germany. The increasing share of EEG-power in the generation portfolio, increasing amounts of fluctuating power generation,...

In northern Europe wind energy has become a dominating renewable energy source due to natural conditions and national support schemes. However, the uncertainty about wind generation affects existing network infrastructure and power production planning of generators and cannot not be fully...

Renewable portfolio standards (RPS) are the most popular U.S. state-level policies for promoting deployment of renewable electricity (RES-E). While several econometric studies have estimated the effect of RPS on in-state RES-E deployment, results are contradictory. We reconcile these studies and...

Under perfect competition on the output market, first best technology subsidies in the presence of learning by doing are justified by knowledge spill overs that are not accounted for by individual companies. First best output subsidies are thus depending directly on the learning effects and are,...

We analyze future scenarios of integrating electric vehicles (EV) into the German power system, drawing on different assumptions on the charging mode. We use a numerical dispatch model with a unit-commitment formulation which minimizes dispatch costs over a full year. While the overall energy...

We develop a dispatch and investment model to study the role of power storage and other flexibility options in a greenfield setting with high shares of renewables. The model captures multiple system values of power storage related to arbitrage, dispatchable capacity, and reserves. In a baseline...