dc.contributor.author |
Musango, JK
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|
dc.contributor.author |
Amigun, B
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|
dc.contributor.author |
Brent, AC
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dc.date.accessioned |
2012-03-16T09:25:19Z |
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dc.date.available |
2012-03-16T09:25:19Z |
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dc.date.issued |
2010-07 |
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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
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|
dc.identifier.uri |
http://hdl.handle.net/10204/5652
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|
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 -
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en_ZA |