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NPP modelling for biomass energy estimations of South Africa

Niklaus, Markus and Tum, Markus and Günther, Kurt P. (2010) NPP modelling for biomass energy estimations of South Africa. 8th AARSE Conference, 25.-29. Oct. 2010, Addis Ababa, Ethiopia.

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With its warm climate and large amounts of fertile lands South Africa has the potential to become a relevant player in the production of bioenergy. The increasing demand of the African continent for energy shows the need in renewable energy sources. On the other hand, large-scale land use for energy crops may induce food security risks keeping in mind the also growing population attending the increasing demand on edibles. With the vegetation model BETHY/DLR we estimated the potential for bioenergy production, considering food security and sustainability. For the year 2003 we estimate a biomass energy potential of 461 PJ which is about 9% of the energy supply of this year according to IEA.

Item URL in elib:https://elib.dlr.de/66982/
Document Type:Conference or Workshop Item (Speech)
Title:NPP modelling for biomass energy estimations of South Africa
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Niklaus, Markusmarkus.niklaus (at) dlr.deUNSPECIFIED
Tum, Markusmarkus.tum (at) dlr.deUNSPECIFIED
Günther, Kurt P.kurt.guenther (at) dlr.deUNSPECIFIED
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:NPP modeling, biomass potential, bioenergy
Event Title:8th AARSE Conference
Event Location:Addis Ababa, Ethiopia
Event Type:international Conference
Event Dates:25.-29. Oct. 2010
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Anwendungen Erdbeobachtung - HGF-Kooperation EOS (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
German Remote Sensing Data Center > Climate and Atmospheric Products
German Remote Sensing Data Center > Atmosphere
Deposited By: Niklaus, Markus
Deposited On:10 Feb 2011 10:05
Last Modified:31 Jul 2019 19:29

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