Germany's Wind Energy: The Potential for Fossil Capacity Replacement and Cost Saving
By Hannes Weigt. 2009
210 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b9764061b7879542685e512d0a5df8ccfab3d798
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Alois Kneip
- Eva Schmid
- Klaas Würzburg
- Ali Mostafaeipour
- Kasra Mohammadi
- Neven Duic
- Goran Krajacic
- X. Labandeira
In Renewable Energy, Sustainability and the Environment
- X. Labandeira
- Nasrudin Abdul Rahim
- R. Saidur
- Neven Duic
- Maria Carvalho
- Pedro Linares
- K. H. Solangi
- Ahti Salo
Citations in the corpus
- How to achieve a 100% RES electricity supply for Portugal? (2011, background): “The results indicate that existing data does not provide clear evidence of a significant capacity credit of wind energy in Germany solely based on the geographic and metrological wind availability [20].”
- On the optimal reconstruction of partially observed functional data (2017, methodology): “Practitioners use these functions, for instance, to do comparative statics, i.e., a ceteris-paribus analysis of price effects with respect to changes in electricity demand (cf. Weigt, 2009; Hirth, 2013).”
- A review on global wind energy policy (2010, background): “4 GWputting it on a level playing field with nuclear and coal [80].”
- Fluctuating renewables in a long-term climate change mitigation strategy (2011, background): “g.[30, 31]) concerning the (mostly nancial) repercussions of RES development in Germany treat the feed-in priority as given and do not analyze scenarios where curtailment is possible.”
- The Market Value of Variable Renewables The Effect of Solar and Wind Power Variability on their Relative Price (2013, unknown): “dramatically when solar capacity increases beyond 15% of installed capacity. Hirst & Hild (2004) model a small power system with a short-term unit commitment model and report the value factor to drop from 0.”
- Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany (2017, background): “In turn, Weigt [14] utilises realistic data on German conventional plants and develops an optimisation model, which minimises production and start-up costs in Germany while meeting demand and capacity constraints.”
- Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the Australian National Electricity Market (2013, background): “As of September 2011, Germany had an installed capacity of 20.6 GW (BNetzA, 2011) and population of around 81 million.”
- A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty (2010, background): “Moreover, Wind generation also leads to a significantly lower market price particularly during peak periods [57].”
- Renewable Generation and Electricity Prices: Taking Stock and New Evidence for Germany and Austria (2013, background): “In a subsequent exercise, Weigt (2009) models the German electricity market to investigate the potential of wind generation to replace traditional fossil capacities.”
- An analysis of wind energy potential and economic evaluation in Zahedan, Iran (2014, background): “Till 2010, the first five countries in terms of installed wind turbine capacity were China, USA, Germany, Spain, and India [1].”