The Photovoltaic Support Scheme in Germany
An Environmental Criteria Assessment of the EEG Feed-in Tariffs
By (author) Christoph Topfer By (author) Erik Gawel
Paperback (Published)
(September 2013)
ISBN: 9783832534851
5.75 x 8.31 inches
Price: $68.00
In stock
The German Renewable Energy Sources Act (Erneuerbare-Energien-Gesetz EEG) promotes the generation of electricity from renewable energy sources by a feedin tariff scheme. In general, renewables are considered to be environment-friendly with respect to climate change and other environmental harm associated with fossil-nuclear energy provision. In fact, renewables themselves cause new environmental costs regarding space requirements, related land-use conflicts and the need for scarce raw materials. Therefore, support policies should not only take into account economic but also ecological criteria. The objective of this study is to assess whether or not environmental criteria are reflected in the German photovoltaic support scheme stipulated by the EEG. It thereby aims to establish a connection between the economic investment stimulus of renewable electricity support schemes and the environmental performance of their supported technologies taking photovoltaic as an example.
- By (author) Christoph Topfer
- By (author) Erik Gawel
Other Titles in this Series
Cost-benefit assessment within the context of the EC Water Framework Directive
Method for justifying exemptions based on disproportionate costs
Volume 3
Agentenbasierte Modellierung urbaner Transformationsprozesse
Smart Utilities And Sustainable Infrastructure Change
Volume 12
Energize the Base of the Pyramid!
Contributions to scale-up energy access in Nigeria and Senegal
Volume 9
Optimal operation, configuration and sizing of energy storage and energy conversion technologies for residential house energy systems
Volume 11
Klimaschutzpolitik im Bereich des motorisierten Individualverkehrs in Deutschland
Eine okonomische Analyse
Volume 8
Similar Books
Diagnostic Techniques in Public Health
Analytical and Chemometric Approaches in Disease Detection and Management
