Implications of biofuel production in the Western Cape province, South Africa: A system dynamics modelling approach of South Africa: A system dynamics modelling approach

Authors

  • Willem Jonker Department of Industrial Engineering, Stellenbosch University.
  • Alan Colin Brent Department of Industrial Engineering and the Centre for Renewable and Sustainable Energy Studies, Stellenbosch University; Sustainable Energy Systems, School of Engineering and Computer Science, Victoria University of Wellington. http://orcid.org/0000-0003-3769-4512
  • Josephine Kaviti Musango School of Public Leadership, and the Centre for Renewable and Sustainable Energy Studies, Stellenbosch University.
  • Imke de Kock Department of Industrial Engineering, Stellenbosch University.

DOI:

https://doi.org/10.17159/2413-3051/2017/v28i1a1457

Keywords:

green economy, transportation, blending, uncertainty, complexity

Abstract

The national government instated a mandatory blending policy to facilitate the uptake and establishment of a biofuels sector in South Africa. Uncertainty exists, however, regarding the implications and effects of producing biofuels within the Western Cape province, as part of a strategy of the province to transition to a green economy. This investigation was carried out as an effort to simulate the biofuel production within the Western Cape under certain project and policy considerations. A system dynamics model was developed to identify key strategic intervention points that could strengthen the business case of biofuel production. The model showed a feasible business case for bioethanol production, with the best case showing an internal rate of return of 23% (without government subsidy), and an emissions reduction of 63% when compared with coal. It is recommended that special consideration be given to the location of bioethanol production facilities, as operational costs can be minimised by incorporating invasive alien land-clearing schemes as part of the bioethanol production. The model further showed that medium-to-large-scale biodiesel production in the province is not feasible under the given model assumptions, as the positive effects of local biodiesel production do not justify the required government subsidy of ZAR 4.30 per litre. It is recommended that a different approach be investigated, where multiple on-site small-scale biodiesel production facilities are used, thus utilising multiple feedstock options and minimising capital expenditure.

Keywords: green economy; transportation; blending; uncertainty; complexity

Downloads

Download data is not yet available.

Author Biographies

Willem Jonker, Department of Industrial Engineering, Stellenbosch University.

Master of Engineering Management student in the Department of Industrial Engineering at Stellenbosch University.

Alan Colin Brent, Department of Industrial Engineering and the Centre for Renewable and Sustainable Energy Studies, Stellenbosch University; Sustainable Energy Systems, School of Engineering and Computer Science, Victoria University of Wellington.

Professor of Engineering Management and Sustainable Systems in the Department of Industrial Engineering, and Associate Director of the Centre for Renewable and Sustainable Energy Studies, at Stellenbosch University; and Professor of Sustainable Energy Systems in the School of Engineering and Computer Science, at Victoria University of Wellington.

Josephine Kaviti Musango, School of Public Leadership, and the Centre for Renewable and Sustainable Energy Studies, Stellenbosch University.

Associate Professor with the School of Public Leadership (SPL), and  the Research Group Leader for the Urban Modelling and Metabolism Assessment (uMAMA) research team at the Centre for Complex Systems in Transitions (CST), at Stellenbosch University.

Imke de Kock, Department of Industrial Engineering, Stellenbosch University.

Lecturer in the Department of Industrial Engineering at Stellenbosch University.

References

Amigun, B., Petrie, D. and Görgens, J. 2011. Economic risk assessment of advanced process technologies for bioethanol production in South Africa: Monte Carlo analysis. Renewable Energy 36(11): 3178–3186.

Amigun, B., Petrie, D. and Görgens, J. 2012. Feedstock and technology options for bioethanol production in South Africa: techno economic prefeasibility study. Energy &Fuels 26(9): 5887–5896.

Banos, R., Manzano-Agugliaro, F., Montoya, F., Gil, C., Alcayde, A. and Gomez, J. 2011. Optimization methods applied to renewable and sustainable energy: A review. Renewable and Sustainable Energy Reviews 15(4): 1753 - 1766.

Bassi, A.M. 2014. Review of business and economics studies. Quarterly 2 (1): 88–97.

Brailsford, S., Churilov, L. and Dangerfield, B. 2014. Discrete-event simulation and system dynamics for management decision making. John Wiley and Sons.

Davis-Knight, H.R. and Weightman, R.M. 2008. The potential of triticale as a low input cereal for bioethanol production. Home-Grown Cereals Authority. Available online at: http://cereals.ahdb. org.uk/media/408618/pr434-final-project-report.pdf (accessed 14 January 2016.

Department of Energy (DOE) 2012. Government Gazette r. 671. Available online at: http://www.energy.gov.za/files/policies/Mandatory%20Blending%20Regulations%2024%20August%202012.pdf (accessed 14 January 2016).

Department of Energy (DOE) 2014. Draft position paper on the South African biofuel regulatory framework. Government Gazette no. 37232. Available online at: http://www.gov.za/sites/www.gov.za/ files/37232gen24.pdf (accessed 14 January 2016).

Department of Minerals and Energy 1998. White paper on the energy policy of theRepublic of South Africa. Available online at: http://www.energy.gov.za/files/ esources/petroleum/wp_energy_policy_1998.pdf (accessed 14 January 2016).

Department of Minerals and Energy 2007. Biofuels industrial strategy of the Republic of South Africa. Available online at: http://www.energy.gov.za/files/ esources/renewables/biofuels_indus_strat.pdf(2).pdf (accessed 14 January 2016).

Epstein, R.J. 2014. A history of econometrics. Elsevier, North Holland.

Fore, S.R., Porter, P. and Lazarus, W. 2011. Net energy balance of small-scale on-farm biodiesel production from canola and soybean. Biomass and Bioenergy 35(5): 2234–2244.

GreenCape 2015. Biofuels: from viability to pilot project (re-assessment of the Western Capes biofuel production potential via a multi-criteria analysis). Cape Town. Available online at: http://greencape.co.za/ what-we-do/projects/biofuels/ (accessed 14 January 2016).

Helbing, D. and Balietti, S. 2013. How to do agent-based simulations in the future: From modelling social mechanisms to emergent phenomena and interactive systems design. In: Helbing D (ed). Social self-organization: Agent-based simulations and experiments to study emergent social behavior. Springer, Berlin: 25–70.

Jonker, W.D. 2015. Biofuel implications of a green economy transition in the Western Cape province of South Africa: A system dynamics modelling approach to biofuel. Masters thesis, Stellenbosch University. Available online at: http://hdl.handle.net/ 10019.1/97865 (accessed 14 January 2016).

Karaan, M. 2010. Can agriculture create a million jobs? Paper presented at AgriSA Conference 2010, Muldersdrift, Gauteng, 8 October 2010.

Le Novère, N. 2015. Quantitative and logic modelling of molecular and gene networks. Nature Reviews Genetics 16(3): 146–58.

Loorbach, D. 2010. Transition management for sustainable development: A prescriptive, complexity-based governance framework. Governance, 23(1): 161–183.

Maani, K. and Cavana, R.Y. 2007. Systems thinking, system dynamics: Managing change and complexity. Prentice Hall.

Musango, J.K., Brent, A.C., van Niekerk, J.B.S., Jonker, W.D., Pienaar, A.P., York, T.A., Oosthuizen, J., Duminy, L. and de Kock, I.H. 2015. A system dynamics approach to understand the implications of a green economy transition in the Western Cape Province of South Africa. paper presented at the 33rd International Conference of the System Dynamics Society, Boston, USA.

National Planning Commission 2012. National development plan 2030. Our future: Make it work. Pretoria. Available online at: http://www.gov.za/documents/ national-development-plan-2030-our-future-make-it-work (accessed 14 January 2016).

National Biofuels Study 2006. An investigation into the feasibility of establishing a biofuels industry in the Republic of South Africa. Available online at: http://www.mabelefuels.com/wp-content/uploads/ 2011/12/National-Biofuels-Study.pdf (accessed 7 December 2016).

Nolte, M. 2007. Commercial biodiesel production in South Africa: A preliminary economic feasibility study. Masters thesis, Stellenbosch University. Available online at: http://hdl.handle.net/10019.1/ 1797 (accessed 14 January 2016).

Pruyt, E. 2013. Small system dynamics models for big issues: Triple jump towards real-world complexity. Delft University of Technology. Available online at: http://simulation.tbm.tudelft.nl/smallSDmodels/Intro.html (accessed 14 January 2016).

Senge, P.M. 1980. Tests for building confidence in system dynamics models. System dynamics TIMS Studies in Management Sciences 14: 209-228.

South African Petroleum Industry Association (2015 June). Industry overview – South African fuel industry. Available online at: http://www.sapia.co.za/industry-overview/fuel-industry.html (accessed 18 January 2017).

Snijders, T.A., van de Bunt, G.G. and Steglich, C.E. 2010. Introduction to stochastic actor-based models for network dynamics. Social Networks 32(1): 44–60.

United Nations Environment Programme (UNEP). 2010. Driving a green economy through public finance and fiscal policy reform. Paris. Available online at: http://www.unep.org/greeneconomy/Portals/88/documents/ger/GER_Working_Paper_Public_Finance.pdf (accessed 14 January 2016).

Western Cape Government (2013). Green is smart. Cape Town. Available online at: https://www.westerncape.gov.za/110green/tags/green-smart (accessed 14 January 2016).

Downloads

Published

2017-03-23

How to Cite

Jonker, W., Brent, A. C., Musango, J. K., & de Kock, I. (2017). Implications of biofuel production in the Western Cape province, South Africa: A system dynamics modelling approach of South Africa: A system dynamics modelling approach. Journal of Energy in Southern Africa, 28(1), 1–12. https://doi.org/10.17159/2413-3051/2017/v28i1a1457