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Different Heights Monthly and Yearly Mean Wind Speeds Investigation Using a Weibull Model: A Case of Short Ferry Route

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DOI: 10.18535/sshj.v8i09.1329Β· Vol. 8, No. 09, (2024)Β· Published: September 19, 2024
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Abstract

The maritime industry, which has historically relied on onboard vessel single-unit conventional, non-renewable energy sources fossil fuels, is currently under increasing global renewable energy demand and environmental concern pressure to explore renewable energy options, especially for short ferry routes. Wind energy offers an alternative due to it is abundant and reliable along maritime routes. Even with major progress in land-based wind energy research, there is still a lack of study on maritime applications, particularly for short to medium maritime routes because the majority of research on the application of wind technologies has been conducted on large commercial vessels sailing on long routes. To assess if wind energy is feasible for onboard power generation, this study utilizes wind speed data from 2020 to 2023 from the Tanzania Meteorological Authority to explore wind energy potential along a ferry route located near Tanzania's coast region, namely the Kivukoni and Kigamboni ferry route within Dar es Salaam port along the Indian Ocean. The Weibull distribution and Standard Deviation Method (SDM) are used in this study to investigate the monthly and annual mean wind speeds at various heights. At 10 and 20 meters, the average wind speed in this route is comparatively 4.029931 and 8.52664m/s, respectively, indicating a promising potential for wind energy harnessing. For this wind speed statistics present a chance to investigate the possibility of adopting wind energy into the ferry's electrical power system. According to this study, to reduce reliance on single-unit conventional, non-renewable energy sources, ferry power systems must incorporate wind-assisted technology to provide a new pathway to promote the transition towards onboard multiple energy sources, particularly renewable energy sources.

Keywords

Mau Forestland usecolonial policiespit sawingsettlementMaasai

References

  1. AIJJOU, A. (2020). Wind Energy for Shipboard Electric Power Needs. International Journal of Advanced Trends in Computer Science and Engineering, 9(1.5), 168–177. https://doi.org/10.30534/ijatcse/2020/2491.52020DOI β†—Google Scholar β†—
  2. Akdağ, S. A., & GΓΌler, Γ–. (2018). Alternative Moment Method for wind energy potential and turbine energy output estimation. Renewable Energy, 120, 69–77. https://doi.org/10.1016/j.renene.2017.12.072DOI β†—Google Scholar β†—
  3. Anwar, S., Zia, M. Y. I., Rashid, M., De Rubens, G. Z., & Enevoldsen, P. (2020). Towards ferry electrification in the maritime sector. Energies, 13(24). https://doi.org/10.3390/en13246506DOI β†—Google Scholar β†—
  4. Arief, I. S., & Fathalah, A. Z. M. (2022). Review of Alternative Energy Resource for the Future Ship Power. IOP Conference Series: Earth and Environmental Science, 972(1). https://doi.org/10.1088/1755-1315/972/1/012073DOI β†—Google Scholar β†—
  5. Aukitino, T., Khan, M. G. M., & Ra, M. (2017). Wind energy resource assessment for Kiribati with a comparison of di ff erent methods of determining Weibull parameters. 151(September), 641–660. https://doi.org/10.1016/j.enconman.2017.09.027DOI β†—Google Scholar β†—
  6. Aziz, A., Tsuanyo, D., Nsouandele, J., Mamate, I., Mouangue, R., & Abiama, P. E. (2023). Influence of Weibull parameters on the estimation of wind energy potential. Sustainable Energy Research. https://doi.org/10.1186/s40807-023-00075-yDOI β†—Google Scholar β†—
  7. Bishoge, O. K., Zhang, L., & Mushi, W. G. (2018). clean technologies The Potential Renewable Energy for Sustainable Development in Tanzania : A Review. 70–88. https://doi.org/10.3390/cleantechnol1010006DOI β†—Google Scholar β†—
  8. Chou, T., Kosmas, V., Acciaro, M., & Renken, K. (2021). A Comeback of Wind Power in Shipping : An Economic and Operational Review on the Wind-Assisted Ship Propulsion Technology.Google Scholar β†—
  9. Chusi, T. N., Mwendapole, M. J., Tengecha, N. A., & Zhang, X. (2022). East Africa Waterway Transport, Coastal Ports Growth, Opportunity and Challenges. International Journal of Humanities and Social Science Invention (IJHSSI), 11(2), 01–11. https://doi.org/10.35629/7722-1102030111DOI β†—Google Scholar β†—
  10. Fazelpour, F., Markarian, E., & Soltani, N. (2019). Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran. 109(2017), 646–667.Google Scholar β†—
  11. Gagatsi, E., Estrup, T., & Halatsis, A. (2016a). Exploring the potentials of electrical waterborne transport in Europe : the E-ferry concept. Transportation Research Procedia, 14, 1571–1580. https://doi.org/10.1016/j.trpro.2016.05.122DOI β†—Google Scholar β†—
  12. Gagatsi, E., Estrup, T., & Halatsis, A. (2016b). Exploring the Potentials of Electrical Waterborne Transport in Europe: The E-ferry Concept. Transportation Research Procedia, 14, 1571–1580. https://doi.org/10.1016/j.trpro.2016.05.122DOI β†—Google Scholar β†—
  13. Gullbring, J., & Pandic, A. (2021). Electrification of short sea shipping in Scandinavia.Google Scholar β†—
  14. Kaplan, Y. A. (2017). Determination of the best Weibull methods for wind power assessment in the southern region of Turkey. IET Renewable Power Generation, 11(1), 175–182. https://doi.org/10.1049/iet-rpg.2016.0206DOI β†—Google Scholar β†—
  15. Katinas, V., Gecevicius, G., & Marciukaitis, M. (2018). An investigation of wind power density distribution at location with low and high wind speeds using statistical model. Applied Energy, 218(December 2017), 442–451. https://doi.org/10.1016/j.apenergy.2018.02.163DOI β†—Google Scholar β†—
  16. Kazimierczuk, A. H. (2019). Wind energy in Kenya: A status and policy framework review. In Renewable and Sustainable Energy Reviews (Vol. 107, Issue November 2018, pp. 434–445). Elsevier Ltd. https://doi.org/10.1016/j.rser.2018.12.061DOI β†—Google Scholar β†—
  17. Kengne Signe, E. B., Kanmogne, A., Emmanuel, G. D., & Meva’a, L. (2019). Comparison of seven numerical methods for determining Weibull parameters of wind for sustainable energy in Douala, Cameroon. International Journal of Energy Sector Management, 13(4), 903–915. https://doi.org/10.1108/IJESM-07-2018-0014DOI β†—Google Scholar β†—
  18. Kibona, T. E. (2020). Application of WRF mesoscale model for prediction of wind energy resources in Tanzania. Scientific African, 7, e00302. https://doi.org/10.1016/j.sciaf.2020.e00302DOI β†—Google Scholar β†—
  19. Kidmo, D. K., Deli, K., Raidandi, D., & Yamigno, S. D. (2016). Wind Energy for Electricity Generation in the Far North Region of Cameroon. Energy Procedia, 93(March), 66–73. https://doi.org/10.1016/j.egypro.2016.07.151DOI β†—Google Scholar β†—
  20. Kim, T. K., Yaakob, O., Bahru, J., Centre, M. T., & Bahru, J. (2016). A DAPTATION OF W IND P OWER FOR S HIP. 1(January 2013), 8–19.Google Scholar β†—
  21. Lee, J. K., Yook, D., Lee, K. J., Yun, J. Il, & Beeley, P. A. (2015). Weibull parameter calculation and estimation of directional and seasonal wind speeds for the return period: A case study in the Barakah NPP area. Annals of Nuclear Energy, 80, 62–69. https://doi.org/10.1016/j.anucene.2015.01.030DOI β†—Google Scholar β†—
  22. Li, B., Zhang, R., Li, Y., Zhang, B., & Guo, C. (2021). STUDY OF A NEW TYPE OF FLETTNER ROTOR. 28(109), 28–41.Google Scholar β†—
  23. Lu, R., & Ringsberg, J. W. (2020). Ship energy performance study of three wind-assisted ship propulsion technologies including a parametric study of the Flettner rotor technology. Ships and Offshore Structures, 15(3), 249–258. https://doi.org/10.1080/17445302.2019.1612544DOI β†—Google Scholar β†—
  24. Michael, E., Tjahjana, D. D. D. P., & Prabowo, A. R. (2021). Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania. Open Engineering, 11(1), 1093–1104. https://doi.org/10.1515/eng-2021-0108DOI β†—Google Scholar β†—
  25. Mohammadi, K., Alavi, O., Mostafaeipour, A., Goudarzi, N., & Jalilvand, M. (2016). Assessing different parameters estimation methods of Weibull distribution to compute wind power density. Energy Conversion and Management, 108, 322–335. https://doi.org/10.1016/j.enconman.2015.11.015DOI β†—Google Scholar β†—
  26. MΓΆllerstrΓΆm, E., Gipe, P., Beurskens, J., & Ottermo, F. (2019). A historical review of vertical axis wind turbines rated 100 kW and above. In Renewable and Sustainable Energy Reviews (Vol. 105, pp. 1–13). Elsevier Ltd. https://doi.org/10.1016/j.rser.2018.12.022DOI β†—Google Scholar β†—
  27. Nadarajan, S., Ieee, M., Gupta, A. K., Ieee, S. M., Panda, S. K., & Ieee, S. M. (2016). Review of Smart Grid Requirements and Design Standards for Future Naval Vessels. 338–343.Google Scholar β†—
  28. Ongaki, N. L., Maghanga, C. M., & Kerongo, J. (2021). Evaluation of the Technical Wind Energy Potential of Kisii Region Based on the Weibull and Rayleigh Distribution Models. Journal of Energy, 2021, 1–17. https://doi.org/10.1155/2021/6627509DOI β†—Google Scholar β†—
  29. Ouahabi, M. H., Elkhachine, H., Benabdelouahab, F., & Khamlichi, A. (2020). Comparative study of five different methods of adjustment by the Weibull model to determine the most accurate method of analyzing annual variations of wind energy in Tetouan - Morocco. Procedia Manufacturing, 46(2019), 698–707. https://doi.org/10.1016/j.promfg.2020.03.099DOI β†—Google Scholar β†—
  30. Ouchi, K., Uzawa, K., Kanai, A., & Katori, M. (2013). β€œ Wind Challenger ” the Next Generation Hybrid Sailing Vessel. May, 562–567.Google Scholar β†—
  31. Pan, P., Sun, Y., Yuan, C., Yan, X., & Tang, X. (2021). Research progress on ship power systems integrated with new energy sources : A review. Renewable and Sustainable Energy Reviews, 144(March), 111048. https://doi.org/10.1016/j.rser.2021.111048DOI β†—Google Scholar β†—
  32. Rutkowski, G. (2017). Study of Green Shipping Technologies - Harnessing Wind, Waves and Solar Power in New Generation Marine Propulsion Systems. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 10(4), 627–632. https://doi.org/10.12716/1001.10.04.12DOI β†—Google Scholar β†—
  33. Sciberras, E. A., Zahawi, B., & Atkinson, D. J. (2017). Reducing shipboard emissions – Assessment of the role of electrical technologies. Transportation Research Part D: Transport and Environment, 51, 227–239. https://doi.org/10.1016/j.trd.2016.10.026DOI β†—Google Scholar β†—
  34. Soulouknga, M. H., Doka, S. Y., N.Revanna, N.Djongyang, & T.C.Kofane. (2018). Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution. Renewable Energy, 121, 1–8. https://doi.org/10.1016/j.renene.2018.01.002DOI β†—Google Scholar β†—
  35. Sciberras, E. A., Zahawi, B., Atkinson, D. J., Breijs, A., & Van Vugt, J. H. (2016). Managing shipboard energy: A stochastic approach special issue on marine systems electrification. IEEE Transactions on Transportation Electrification, 2(4), 538–546. https://doi.org/10.1109/TTE.2016.2587682DOI β†—Google Scholar β†—
  36. Tay, Z. Y., & Konovessis, D. (2023). Sustainable energy propulsion system for sea transport to achieve United Nations sustainable development goals: a review. In Discover Sustainability (Vol. 4, Issue 1). Springer International Publishing. https://doi.org/10.1007/s43621-023-00132-yDOI β†—Google Scholar β†—
  37. Tiam Kapen, P., Jeutho Gouajio, M., & YemΓ©lΓ©, D. (2020). Analysis and efficient comparison of ten numerical methods in estimating Weibull parameters for wind energy potential: Application to the city of Bafoussam, Cameroon. Renewable Energy, 159, 1188–1198. https://doi.org/10.1016/j.renene.2020.05.185DOI β†—Google Scholar β†—
  38. Yiğit, K., & Acarkan, B. (2018). A new ship energy management algorithm to the smart electricity grid system. International Journal of Energy Research, 42(8), 2741–2756. https://doi.org/10.1002/er.4062DOI β†—Google Scholar β†—
  39. Yongo, E. O., Manyala, J. O., Kito, K., Matsushita, Y., Outa, N. O., & Njiru, J. M. (2016). Diet of Silver Cyprinid, Rastrineobola argentea in Lake Victoria, Kenya. E. International Journal of Advanced Research, 4(6), 625–634. https://doi.org/10.21474/IJAR01DOI β†—Google Scholar β†—
  40. Yuan, Y., Wang, J., Yan, X., Shen, B., & Long, T. (2020). A review of multi-energy hybrid power system for ships. In Renewable and SustainableGoogle Scholar β†—
Author details
Titus Longino
Dar es Salaam Maritime Institute
βœ‰ Corresponding Author
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Wilfred Kileo
Lecturer, Dar es Salaam Maritime Institute
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Enock Kandimba
Dar es Salaam Maritime Institute
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Paul Nsulangi
Assistant Lecturer, Dar es Salaam Maritime Institute
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