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Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach

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dc.contributor.author Musango, JK
dc.contributor.author Amigun, B
dc.contributor.author Brent, AC
dc.date.accessioned 2012-03-16T09:25:19Z
dc.date.available 2012-03-16T09:25:19Z
dc.date.issued 2010-07
dc.identifier.citation Musango, JK, Amigun, B and Brent, AC. Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach. 28th International Conference of the System Dynamics Society, Seoul, Korea, 25-29 July 2010 en_US
dc.identifier.isbn 978-1-935056-06-5
dc.identifier.uri http://www.systemdynamics.org/conferences/2010/proceed/papers/P1198.pdf
dc.identifier.uri http://hdl.handle.net/10204/5652
dc.description 28th International Conference of the System Dynamics Society, Seoul, Korea, 25-29 July 2010 en_US
dc.description.abstract This paper presents a Bioenergy Systems Sustainability Assessment and Management (BIOSSAM) model. The BIOSSAM model was developed as a means to provide insights into the implications of expanding bioenergy programmes in South Africa, which is deemed critical for sustainable energy development in the region. The BIOSSAM model was applied to the case of biodiesel production in the Eastern Cape Province of South Africa. At present, biodiesel production in the Eastern Cape is envisaged to promote socio-economic development through, for example, job-creation, which, in turn, would lead to the further economic growth of the Province. The development of biodiesel production value chains is influenced by a number of factors such as producer/supplier profitability; this is determined by several factors such as: land availability to supply raw materials, feedstock prices, and government regulations, amongst others. To explore the extent of achieving the socio-economic goals from biodiesel production value chains, the BIOSSAM model provides a freamework for understanding the casual-loop/feedback structure and dynamics of this emerging industry. en_US
dc.language.iso en en_US
dc.publisher Curran Associates, Inc en_US
dc.relation.ispartofseries Workflow;5497
dc.subject Biofuels en_US
dc.subject Biodiesel en_US
dc.subject System dynamics en_US
dc.subject Biodiesel production en_US
dc.title Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Musango, J., Amigun, B., & Brent, A. (2010). Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach. Curran Associates, Inc. http://hdl.handle.net/10204/5652 en_ZA
dc.identifier.chicagocitation Musango, JK, B Amigun, and AC Brent. "Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach." (2010): http://hdl.handle.net/10204/5652 en_ZA
dc.identifier.vancouvercitation Musango J, Amigun B, Brent A, Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach; Curran Associates, Inc; 2010. http://hdl.handle.net/10204/5652 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Musango, JK AU - Amigun, B AU - Brent, AC AB - This paper presents a Bioenergy Systems Sustainability Assessment and Management (BIOSSAM) model. The BIOSSAM model was developed as a means to provide insights into the implications of expanding bioenergy programmes in South Africa, which is deemed critical for sustainable energy development in the region. The BIOSSAM model was applied to the case of biodiesel production in the Eastern Cape Province of South Africa. At present, biodiesel production in the Eastern Cape is envisaged to promote socio-economic development through, for example, job-creation, which, in turn, would lead to the further economic growth of the Province. The development of biodiesel production value chains is influenced by a number of factors such as producer/supplier profitability; this is determined by several factors such as: land availability to supply raw materials, feedstock prices, and government regulations, amongst others. To explore the extent of achieving the socio-economic goals from biodiesel production value chains, the BIOSSAM model provides a freamework for understanding the casual-loop/feedback structure and dynamics of this emerging industry. DA - 2010-07 DB - ResearchSpace DP - CSIR KW - Biofuels KW - Biodiesel KW - System dynamics KW - Biodiesel production LK - https://researchspace.csir.co.za PY - 2010 SM - 978-1-935056-06-5 T1 - Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach TI - Understanding the implication of investing in biodiesel production in South Africa: a system dynamics approach UR - http://hdl.handle.net/10204/5652 ER - en_ZA


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