- π Home
- π Vol. 8 Β· No. 09 Β· (2024)
- Different Heights Monthly and Yearly Mean Wind Speeds Investβ¦
Articlesπ Open Access
Different Heights Monthly and Yearly Mean Wind Speeds Investigation Using a Weibull Model: A Case of Short Ferry Route
How to Cite
Titus Longino, Wilfred Kileo, Enock Kandimba, Paul Nsulangi (2024). Different Heights Monthly and Yearly Mean Wind Speeds Investigation Using a Weibull Model: A Case of Short Ferry Route. Social Science and Humanities Journal, 8(09). https://doi.org/10.18535/sshj.v8i09.1329
References
- AIJJOU, A. (2020). Wind Energy for Shipboard Electric Power Needs. International Journal of Advanced Trends in Computer Science and Engineering, 9(1.5), 168β177. https://doi.org/10.30534/ijatcse/2020/2491.52020[DOI β]
- AkdaΔ, S. A., & GΓΌler, Γ. (2018). Alternative Moment Method for wind energy potential and turbine energy output estimation. Renewable Energy, 120, 69β77. https://doi.org/10.1016/j.renene.2017.12.072[DOI β]
- 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/en13246506[DOI β]
- 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/10.1088/1755-1315/972/1/012073[DOI β]
- 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), 641β660. https://doi.org/10.1016/j.enconman.2017.09.027[DOI β]
- 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-y[DOI β]
- Bishoge, O. K., Zhang, L., & Mushi, W. G. (2018). clean technologies The Potential Renewable Energy for Sustainable Development in Tanzania : A Review. 70β88. https://doi.org/10.3390/cleantechnol1010006[DOI β]
- 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.
- 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), 01β11. https://doi.org/10.35629/7722-1102030111[DOI β]
- 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), 646β667.
- Gagatsi, E., Estrup, T., & Halatsis, A. (2016a). Exploring the potentials of electrical waterborne transport in Europe : the E-ferry concept. Transportation Research Procedia, 14, 1571β1580. https://doi.org/10.1016/j.trpro.2016.05.122[DOI β]
- Gagatsi, E., Estrup, T., & Halatsis, A. (2016b). Exploring the Potentials of Electrical Waterborne Transport in Europe: The E-ferry Concept. Transportation Research Procedia, 14, 1571β1580. https://doi.org/10.1016/j.trpro.2016.05.122[DOI β]
- Gullbring, J., & Pandic, A. (2021). Electrification of short sea shipping in Scandinavia.
- 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), 175β182. https://doi.org/10.1049/iet-rpg.2016.0206[DOI β]
- 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), 442β451. https://doi.org/10.1016/j.apenergy.2018.02.163[DOI β]
- 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. 434β445). Elsevier Ltd. https://doi.org/10.1016/j.rser.2018.12.061[DOI β]
- Kengne Signe, E. B., Kanmogne, A., Emmanuel, G. D., & Mevaβa, 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), 903β915. https://doi.org/10.1108/IJESM-07-2018-0014[DOI β]
- 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.e00302[DOI β]
- 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), 66β73. https://doi.org/10.1016/j.egypro.2016.07.151[DOI β]
- 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), 8β19.
- 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, 62β69. https://doi.org/10.1016/j.anucene.2015.01.030[DOI β]
- Li, B., Zhang, R., Li, Y., Zhang, B., & Guo, C. (2021). STUDY OF A NEW TYPE OF FLETTNER ROTOR. 28(109), 28β41.
- 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), 249β258. https://doi.org/10.1080/17445302.2019.1612544[DOI β]
- 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), 1093β1104. https://doi.org/10.1515/eng-2021-0108[DOI β]
- 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, 322β335. https://doi.org/10.1016/j.enconman.2015.11.015[DOI β]
- 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. 1β13). Elsevier Ltd. https://doi.org/10.1016/j.rser.2018.12.022[DOI β]
- 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. 338β343.
- 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, 1β17. https://doi.org/10.1155/2021/6627509[DOI β]
- 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), 698β707. https://doi.org/10.1016/j.promfg.2020.03.099[DOI β]
- Ouchi, K., Uzawa, K., Kanai, A., & Katori, M. (2013). β Wind Challenger β the Next Generation Hybrid Sailing Vessel. May, 562β567.
- 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.2021.111048[DOI β]
- 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), 627β632. https://doi.org/10.12716/1001.10.04.12[DOI β]
- Sciberras, E. A., Zahawi, B., & Atkinson, D. J. (2017). Reducing shipboard emissions β Assessment of the role of electrical technologies. Transportation Research Part D: Transport and Environment, 51, 227β239. https://doi.org/10.1016/j.trd.2016.10.026[DOI β]
- 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, 1β8. https://doi.org/10.1016/j.renene.2018.01.002[DOI β]
- 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), 538β546. https://doi.org/10.1109/TTE.2016.2587682[DOI β]
- 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-y[DOI β]
- 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, 1188β1198. https://doi.org/10.1016/j.renene.2020.05.185[DOI β]
- YiΔit, K., & Acarkan, B. (2018). A new ship energy management algorithm to the smart electricity grid system. International Journal of Energy Research, 42(8), 2741β2756. https://doi.org/10.1002/er.4062[DOI β]
- 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), 625β634. https://doi.org/10.21474/IJAR01[DOI β]
- Yuan, Y., Wang, J., Yan, X., Shen, B., & Long, T. (2020). A review of multi-energy hybrid power system for ships. In Renewable and Sustainable
