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Evaluation of Wind Resources Potential and Economic Analysis of Wind Power Generation in South Africa

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Abstract:

The presence of adequate renewable energy resources and the rapid development of wind projects in South Africa have led to mapping out of the country’s wind capability. In view of this, the economic prospects of utilizing wind energy as a potential energy alternative in South Africa are examined and discussed from the perspectives of green energy strategies for sustainable energy development. This research work is designed to investigate the economic effects of using the wind turbine (WT) in ten locations in South Africa based on the grid planning and power sector reform. The HOMER application software is utilized in this study to assess the wind resources on provincial and national scales, along with estimating the annual energy generation of the selected locations. The wind energy potential of South Africa is analysed by utilizing the capacity factor (CF), wind penetration and mean output of the WT for various locations in South Africa. The results obtained from the study indicate that the selected sites fall within the range of Class 1V of IEC wind classifications with the annual average wind speed of 4.04 m/s for Pretoria and 6.39 m/s for Cape Town at 50m hub heights. The economic assessment of the WT for electric power generation is carried out by using some key performance indicators (KPIs) such as net energy purchased, energy sold, revenue, grid energy purchased, annual utility bill savings, net present cost (NPC) and cost of energy (COE). It is established from the study that Cape Town is the most suitable location for installation of the WT by utilizing the same load profile and system configuration. The output of this research work can be used by the renewable energy development agencies as inputs to harness the potential of wind resources for strategic planning of the power sector reform and industrial development.

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International Journal of Engineering Research in Africa Vol. 44 View Preview

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Periodical:

International Journal of Engineering Research in Africa (Volume 44)

Pages:

150-181

DOI:

https://doi.org/10.4028/www.scientific.net/JERA.44.150

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Online since:

August 2019

Authors:

Temitope Adefarati*, G.D. Obikoya

Keywords:

Battery Storage System, Economic, Energy Purchased, Energy Sold, Net Energy Purchased

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] T. Adefarati, N. B. Papy, M. Thopil, H. Tazvinga, "non-renewable distributed generation technologies: a review, in Handbook of Distributed Generation: Springer, 2017, 69-105.

DOI: 10.1007/978-3-319-51343-0_2

Google Scholar

[2] P. O. Kriett, M. Salani, Optimal control of a residential microgrid, Energy, 42, (2012) 321-330.

DOI: 10.1016/j.energy.2012.03.049

Google Scholar

[3] R. J. Howlett, E. Maleviti, Sustainability in Energy and Buildings. Springer, (2012).

Google Scholar

[4] T. Ackermann, G. Andersson, L. Söder, Distributed generation: a definition1, Electric power systems research, 57 (2001) 195-204.

DOI: 10.1016/s0378-7796(01)00101-8

Google Scholar

[5] R. Singh, R. C. Bansal, A. R. Singh, R. Naidoo, Multi-Objective Optimization of Hybrid Renewable Energy System Using Reformed Electric System Cascade Analysis for Islanding and Grid Connected Modes of Operation, IEEE Access, 6 (2018) 47332-47354.

DOI: 10.1109/access.2018.2867276

Google Scholar

[6] T. Adefarati, R. Bansal, Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources, Applied Energy, 206 (2017) 911-933.

DOI: 10.1016/j.apenergy.2017.08.228

Google Scholar

[7] Deep Cycle GEL VRLA Batteries. Available: http://www.ritarpower.com/battery/Energy% 20Storage%20Battery/DG%20Series/?gclid=EAIaIQobChMIlJKHs6Lt3gIVZDPTCh3duQgnEAAYASAAEgL-c_D_BwE, Accessed: December, (2018).

Google Scholar

[8] M. Motevasel, A. R. Seifi, T. Niknam, Multi-objective energy management of CHP (combined heat and power)-based micro-grid, Energy, 51 (2013), pp.123-136.

DOI: 10.1016/j.energy.2012.11.035

Google Scholar

[9] C. Chen, S. Duan, T. Cai, B. Liu, G. Hu, Optimal allocation and economic analysis of energy storage system in microgrids, IEEE Transactions on Power Electronics, 26 (2011) pp.2762-2773.

DOI: 10.1109/tpel.2011.2116808

Google Scholar

[10] S. Bracco, F. Delfino, F. Pampararo, M. Robba, M. Rossi, A dynamic optimization-based architecture for polygeneration microgrids with tri-generation, renewables, storage systems and electrical vehicles, Energy Conversion and Management, 96 (2015), pp.511-520.

DOI: 10.1016/j.enconman.2015.03.013

Google Scholar

[11] J. Kaldellis, D. Zafirakis, and K. Kavadias, Minimum cost solution of wind–photovoltaic based stand-alone power systems for remote consumers,, Energy Policy, vol. 42, pp.105-117, (2012).

DOI: 10.1016/j.enpol.2011.11.054

Google Scholar

[12] U. Akram, M. Khalid, S. Shafiq, Optimal sizing of a wind/solar/battery hybrid grid-connected microgrid system, IET Renewable Power Generation, 12 (2017) 72-80.

DOI: 10.1049/iet-rpg.2017.0010

Google Scholar

[13] A. Ogunjuyigbe, T. Ayodele, O. Akinola, Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building, Applied Energy, 171 (2016) 153-171.

DOI: 10.1016/j.apenergy.2016.03.051

Google Scholar

[14] P. Yang, A. Nehorai, Joint optimization of hybrid energy storage and generation capacity with renewable energy, IEEE Transactions on Smart Grid, 5 (2014) 1566-1574.

DOI: 10.1109/tsg.2014.2313724

Google Scholar

[15] S. Ahmadi, S. Abdi, Application of the Hybrid Big Bang–Big Crunch algorithm for optimal sizing of a stand-alone hybrid PV/wind/battery system, Solar Energy, 13 (2016), pp.366-374.

DOI: 10.1016/j.solener.2016.05.019

Google Scholar

[16] R. Atia, N. Yamada, Sizing and analysis of renewable energy and battery systems in residential microgrids, IEEE Transactions on Smart Grid, 7 (2016) 1204-1213.

DOI: 10.1109/tsg.2016.2519541

Google Scholar

[17] Y. Wang, B. Wang, C.-C. Chu, H. Pota, R. Gadh, Energy management for a commercial building microgrid with stationary and mobile battery storage, Energy and Buildings, 116 (2016) 41-150.

DOI: 10.1016/j.enbuild.2015.12.055

Google Scholar

[18] 200W solar panel specifications. Available: http://www.centsys.co.za/upload/ CENTSYS%20Documentation/0_07_B_0133%20200W%20Solar%20Panel%20Specifications%20sheet-29062015-NG.pdf, Accessed: December, (2018).

Google Scholar

[19] J. Aghaei, M.-I. Alizadeh, Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems), Energy, 55 (2013), 1044-1054.

DOI: 10.1016/j.energy.2013.04.048

Google Scholar

[20] L. Zhang, N. Gari, L. V. Hmurcik, Energy management in a microgrid with distributed energy resources, Energy Conversion and Management, 78 (2014) 297-305.

DOI: 10.1016/j.enconman.2013.10.065

Google Scholar

[21] A. Yahiaoui, K. Benmansour, M. Tadjine, Control, analysis and optimization of hybrid PV-Diesel-Battery systems for isolated rural city in Algeria, Solar Energy, 137 (2016) 1-10.

DOI: 10.1016/j.solener.2016.07.050

Google Scholar

[22] M. Izadbakhsh, M. Gandomkar, A. Rezvani, and A. Ahmadi, Short-term resource scheduling of a renewable energy based micro grid,, Renewable Energy, vol. 75, pp.598-606, (2015).

DOI: 10.1016/j.renene.2014.10.043

Google Scholar

[23] 12V 150AH tubular lead-acid rechargeable battery. Available: http://www.communica.co.za/Catalog/Details/P0177942046, Accessed: December, (2018).

Google Scholar

[24] List of wind farms in South Africa. Available: https://en.wikipedia.org/wiki/List_of_wind_farms_in_South_Africa, Accessed: December, (2018).

Google Scholar

[25] These are the 5 biggest green energy projects in SA - all wind farms. Available: https://www.businessinsider.co.za/5-massive-new-renewable-energy-projects-that-transformed-south-africas-landscape-2018-4, Accessed: December, (2018).

Google Scholar

[26] Wind Farms in South Africa. Available: http://www.turbines.co.za/wind-farms/wind-farms-in-south-africa/, Accessed: December, (2018).

DOI: 10.1049/pbpo171e_ch12

Google Scholar

[27] T. Adefarati, R. Bansal, Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources, Applied energy, 185 (2019) 1089-1114.

DOI: 10.1016/j.apenergy.2018.12.050

Google Scholar

[28] H. A. Gabbar, Energy In Infrastructures, Energy Conservation in Residential, Commercial, and Industrial Facilities, (2017) 1-14.

DOI: 10.1002/9781119422099.ch1

Google Scholar

[29] T. Adefarati, R. C. Bansal, J. J. Justo, Reliability and economic evaluation of a microgrid power system,, Energy Procedia, 142, (2017) 43-48.

DOI: 10.1016/j.egypro.2017.12.008

Google Scholar

[30] K. Al Mamun and M. T. O. Amanullah, Smart Energy Grid Design for Island Countries.,.

Google Scholar

[31] H. Tazvinga, M. Thopil, P. B. Numbi, and T. Adefarati, Distributed renewable energy technologies,, in Handbook of Distributed Generation, Springer, New york, (2017), pp.3-67.

DOI: 10.1007/978-3-319-51343-0_1

Google Scholar

[32] T. Adefarati, R. C. Bansal, J. J. Justo, Techno-economic analysis of a PV–wind–battery–diesel standalone power system in a remote area, The Journal of Engineering, 13 (2017), 740-744.

DOI: 10.1049/joe.2017.0429

Google Scholar

[33] R. Belfkira, L. Zhang, G. Barakat, Optimal sizing study of hybrid wind/PV/diesel power generation unit, Solar Energy, 85 (2011) 100-110.

DOI: 10.1016/j.solener.2010.10.018

Google Scholar

[34] P. C. Del Granado, Z. Pang, S. W. Wallace, Synergy of smart grids and hybrid distributed generation on the value of energy storage, Applied Energy, 170 (2016), 476-488.

DOI: 10.1016/j.apenergy.2016.01.095

Google Scholar

[35] A. K. Azad, M. Rasul, M. Alam, S. A. Uddin, and S. K. Mondal, Analysis of wind energy conversion system using weibull distribution, Procedia Engineering, 90 (2014) 725-732.

DOI: 10.1016/j.proeng.2014.11.803

Google Scholar

[36] M. S. Adaramola, M. Agelin-Chaab, S. S. Paul, Assessment of wind power generation along the coast of Ghana, Energy Conversion and Management, 77 (2014), 61-69.

DOI: 10.1016/j.enconman.2013.09.005

Google Scholar

[37] M. Jamil, Wind power statistics and evaluation of wind energy density, Wind Engineering, (1994) 227-240.

Google Scholar

[38] O. Ohunakin, M. S. Adaramola, O. M. Oyewola, Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria, Applied energy, 88 (2011) 3197-3206.

DOI: 10.1016/j.apenergy.2011.03.022

Google Scholar

[39] B. Wu, A. Maleki, F. Pourfayaz, M. A. Rosen, Optimal design of stand-alone reverse osmosis desalination driven by a photovoltaic and diesel generator hybrid system, Solar Energy, 163 (2018), 91-103.

DOI: 10.1016/j.solener.2018.01.016

Google Scholar

[40] H. Zhang, H. Sun, Q. Zhang, G. Kong, Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory, Energies, 11 (2018) 2347.

DOI: 10.3390/en11092347

Google Scholar

[41] U. Akram, M. Khalid, S. Shafiq, An Improved Optimal Sizing Methodology for Future Autonomous Residential Smart Power Systems, IEEE Access, 6 (2018), 5986-6000.

DOI: 10.1109/access.2018.2792451

Google Scholar

[42] A. Kaabeche, M. Belhamel, R. Ibtiouen, Techno-economic valuation and optimization of integrated photovoltaic/wind energy conversion system, Solar energy, 85 (2011), 2407-2420, (2011).

DOI: 10.1016/j.solener.2011.06.032

Google Scholar

[43] J. Driesen, F. Katiraei, Design for distributed energy resources, IEEE Power and Energy Magazine, 6 (2008).

Google Scholar

[44] A. Kumar, A. R. Singh, Y. Deng, X. He, P. Kumar, R. C. Bansal, A Novel Methodological Framework for the Design of Sustainable Rural Microgrid for Developing Nations, IEEE Access, 6 (2018), 24925-24951.

DOI: 10.1109/access.2018.2832460

Google Scholar

[45] HOMER Pro Version 3.11 User Manual,, Available: https://www.homerenergy.com/pdf/HOMERHelpManual.pdf, Accessed on: October, (2018).

Google Scholar

[46] O. S. Ohunakin, O. M. Oyewola, and M. S. Adaramola, Economic analysis of wind energy conversion systems using levelized cost of electricity and present value cost methods in Nigeria, International Journal of Energy and Environmental Engineering, 4 (2013), p.2.

DOI: 10.1186/2251-6832-4-2

Google Scholar

[47] Y. P. Kumar, R. Bhimasingu, Renewable energy based microgrid system sizing and energy management for green buildings, Journal of Modern Power Systems and Clean Energy, 3 (2015), 1-13.

DOI: 10.1007/s40565-015-0101-7

Google Scholar

[48] T. Adefarati, R. Bansal, Integration of renewable distributed generators into the distribution system: a review, IET Renewable Power Generation, 10 (2016), 873-884.

DOI: 10.1049/iet-rpg.2015.0378

Google Scholar

[49] T. Adefarati, R. Bansal, Reliability assessment of distribution system with the integration of renewable distributed generation, Applied energy, 185 (2017) 158-171.

DOI: 10.1016/j.apenergy.2016.10.087

Google Scholar

[50] T. Adefarati, R. Bansal, The impacts of PV-wind-diesel-electric storage hybrid system on the reliability of a power system, Energy Procedia, 105 (2017) 616-621.

DOI: 10.1016/j.egypro.2017.03.364

Google Scholar

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