Submitted:
22 September 2023
Posted:
27 September 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Research methodology
3. Results and discussions
3.1. Review of grid-scale wind power potential
3.2. WT Blade Manufacturing Capability
3.3. Steel tower manufacturing
3.3.1. Steel tubular tower manufacturing
3.3.2. Steel lattice tower manufacturing
3.4. Priority gap analysis
4. Conclusions and recommendations
4.1. Conclusions
4.2. Recommendations
- The Government of Zambia should formulate policies that will create a suitable environment for companies wishing to venture into local WT blade and tower manufacturing;
- Financial institutions, in conjunction with the Government of Zambia, should formulate financing mechanisms and fiscal incentives to attract local WT blade and tower manufacturers;
- A study on the current electricity grid network should be conducted, and possible upgrades should be suggested in order to facilitate power take-off from the wind farms;
- A holistic study of the capacity of the Zambian haulage industry to haul WT components, such as tower sections, blades, nacelle, generators, and gearboxes, should be undertaken.
Author Contributions
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Ministry of Energy, Department of Energy, Lusaka, Zambia, https://www.moe.gov.zm/?page_id=2198 (accessed on 24 August 2023).
- Sibote, K.O. Measures to Diversify the Power Sector in Zambia. Lusaka: Department of Energy.
- Mutale, S., Wang, Y., Yasir, J., Aboubacar, T. Economic feasibility of onshore wind energy potential for electricity generation in Zambia. September 2023.
- Department of Energy. Renewable Energy Wind Mapping for Zambia, 24-month Site Resource Report. 2019, https://www.moe.gov.zm/?page_id=2397 .
- DNV-GL. Wind Resource Mapping in Zambia - 12 Month Site Resource Report. Washington DC : World Bank, 2018.
- Banda, A., Simukoko, L., Mwenda, H.M. A Review of wind resource potential ror grid-scale power generation in Zambia. UNESCO 6th Africa Engineering Week, 4th Africa Engineering Conference, Avani Victoria Falls Resort, Livingstone, Zambia, 18th – 20th September 2019; 59, https://www.researchgate.net/publication/336022304.
- RINA. KGRTC Wind Farm - Feasibility Report. Chikankata : KGRTC, 2018.
- Mutale, S., Wang, Y., Yasir, J., Banda, A. Evaluation and assessment of wind energy potential in Lunga District, Luapula Province, Zambia, 2023.
- TDAU. Wind Resource Assessment in Lunga - Technical Feasibility. Lusaka, Rural Electrification Authority, 2018.
- The DTI, SA. The Wind Energy Industry Localisation Roadmap in Support of Large-Scale Roll-Out in South Africa 2012.
- Research Directions in Wind Turbine Blades: Materials and Fatigue. Sandia National Laboratories. Stanford: GCEP - Stanford, unkwon.
- Lim, S., Kong, C., Park, H. A Study on Optimal Design of Filament Winding Composite Tower for 2 MW Class Horizontal Axis Wind Turbine Systems. International Journal of Composite Materials 2013, 3, pp. 15-23. [CrossRef]
- Kaoma, M., Gheewala, S.H. Evaluation of the enabling environment for the sustainable development of rural-based bioenergy systems in Zambia. Energy Policy 2021b, 154. [CrossRef]
- Ministry of Energy, Department of Energy, Lusaka, Zambia, 2023, https://www.moe.gov.zm/?page_id=1606.
- LM Wind Power. What is a Wind Class, https://www.lmwindpower.com/en/stories-and-press/stories/learn-about-wind/what-is-a-wind-class (accessed on 24 August 2023).
- Willey, L.D. Chapter 6 - Design and Development of MeggaWat Wind Turbines. [ed.] Wei Tong. Wind Power Generation and Wind Turbine Design. Boston: WIT Press, 2010, pp. 187-256.
- Sainz, J.A. New Wind Turbine Manufacturing Techniques., Procedia Engineering, 2015, 135, Elsevier, pp. 880-886. [CrossRef]
- Elia, A., Taylor, M., Gallachoir, B.O., Rogan, F. Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers. Energy Policy 2020, 147, 111912. [CrossRef]










| Institution | Site | Measurement height [m] |
Long term adjusted wind speed at measurement height [ m/s] | Extrapolated height [m] | Long Term Adjusted wind speed at extrapolated height [m/s] |
|---|---|---|---|---|---|
| DNV GL | Choma | 80 | 6.6 | 130 | 7.4 |
| Mwinilunga | 80 | 6.0 | 130 | 7.5 | |
| Lusaka | 80 | 6.5 | 130 | 8.2 | |
| Mpika | 80 | 6.3 | 130 | 7.3 | |
| Chanka | 80 | 6.6 | 130 | 7.5 | |
| Petauke | 80 | 5.7 | 130 | 7.0 | |
| Mansa | 80 | 5.9 | 130 | 7.3 | |
| Malawi | 80 | 5.8 | 130 | 7.1 | |
| TDAU | Kasomalunga | 60 | 5.4 | 116.5 | 6.8 |
| RINA | KGRTC | 60 | 4.5 | 95 | 5.2 |
| Class | Speed (m/s) | Extreme wind gust (m/s) |
| I | 10 | 70 |
| II | 8.5 | 59.5 |
| III | 7.5 | 52.5 |
| IV | 6 | 42 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).