- ISSN: 2315-4462 (Print); 2373-3594 (Online)
- Abbreviated Title: Int. J Smart Grid Clean Energy
- Frequency: Semi-annual
- Editor-in-Chief: Prof. Danny Sutanto
- Managing Editor: Ms Jennifer Zeng
- DOI: 10.12720/sgce
- APC: 500 USD
- Indexed by: Inspec (IET), CNKI, Google Scholar, etc.
- E-mail: editor@ijsgce.com
Home > Published Issues > 2014 > Vol. 3, No. 3, July 2014 >
Scenarios for renewable energy deployment in North African countries and electricity exchange with Europe – A modelbased analysis for 2050
Author(s): Inga Boiea, Martin Pudlika, Mario Ragwitza, Frank Sensfußa, Sven Bohnb, Michael Agstenb, Peter Bretschneiderb, Dirk Westermannb
a Fraunhofer Institute for Systems and Innovation Research ISI/Competence Center Energy Policy and Energy Markets, Breslauer Str. 48, 76139 Karlsruhe, Germany
b Fraunhofer IOSB-AST / Energy Department, Am Vogelherd 50, 98693 Ilmenau, Germany
International Journal of Smart Grid and Clean Energy, vol. 3, no. 3, July 2014: pp. 299-306ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.3.3.299-306
Abstract: Deployment of renewable energy technologies in North Africa has large potentials for both, the coverage of the growing local electricity demand and for export of electricity to neighboring regions such as Europe. The presented research analyzes four scenarios with high shares of renewable energies in electricity generation (regional average 83-98%) in five North African countries and evaluates the opportunities and technical challenges for exchange of electricity within the region and with Europe. It was found that extensive grid reinforcements would be required to realize the presented scenarios. With respect to inner-regional transmission capacities in North Africa, results show that, depending on the scenario, about 90 % of the present grid would have to be expanded substantially in order to handle the expected transmission volumes in 2050.
Keywords: renewable energy, electricity exchange, HVDC transmission, North Africa, Europe, scenario-based modeling
Full Paper.pdf