Wind Power Potential Assessment at Different Locations in Lebanon: Best–Fit Probability Distribution Model and Techno-Economic Feasibility

Authors

  • Youssef Kassem Department of Mechanical Engineering, Engineering Faculty, Near East University, Cyprus | Energy, Environment, and Water Research Center, Near East University, Cyprus
  • Huseyin Gokcekus Department of Civil Engineering, Civil and Environmental Engineering Faculty, Near East University, Cyprus | Energy, Environment, and Water Research Center, Near East University, Cyprus
  • Ahmed Mohamed Salah Essayah Department of Environmental Education and Management, Ataturk Faculty of Education, Near East University, Cyprus
Volume: 13 | Issue: 2 | Pages: 10578-10587 | April 2023 | https://doi.org/10.48084/etasr.5686

Abstract

The objective of the current paper is to evaluate Lebanon's wind energy generation potential as an alternative solution to the electricity supply to households and to enhance sustainable technological development. Firstly, the paper aims to investigate the appropriateness of 44 distribution function models for the evaluation of wind speed characteristics and compared them with popular models at 12 locations in Lebanon for the first time. The results showed that Wakeby and Beta distribution functions gave the best fit to the actual data for most locations. Secondly, the techno-economic and environmental feasibility assessment for 10MW grid-connected wind farms was developed based on variations in financial parameters using RETScreen Experts software. The findings demonstrate that the proposed power plant is both technically and financially feasible. It was found that Ain ed Dabaa is the most viable location for the installation of a wind farm.

Keywords:

Lebanon, distribution function, wind energy potential, grid-connected, RETScreen

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References

E. A. Al-Ammar, N. H. Malik, and M. Usman, "Application of using Hybrid Renewable Energy in Saudi Arabia," Engineering, Technology & Applied Science Research, vol. 1, no. 4, pp. 84–89, Aug. 2011. DOI: https://doi.org/10.48084/etasr.33

B. Memon, M. H. Baloch, A. H. Memon, S. H. Qazi, R. Haider, and D. Ishak, "Assessment of Wind Power Potential Based on Raleigh Distribution Model: An Experimental Investigation for Coastal Zone," Engineering, Technology & Applied Science Research, vol. 9, no. 1, pp. 3721–3725, Feb. 2019. DOI: https://doi.org/10.48084/etasr.2381

T. B. M. J. Ouarda et al., "Probability distributions of wind speed in the UAE," Energy Conversion and Management, vol. 93, pp. 414–434, Mar. 2015. DOI: https://doi.org/10.1016/j.enconman.2015.01.036

M. M. Alayat, Y. Kassem, and H. Camur, "Assessment of Wind Energy Potential as a Power Generation Source: A Case Study of Eight Selected Locations in Northern Cyprus," Energies, vol. 11, no. 10, Oct. 2018, Art. no. 2697. DOI: https://doi.org/10.3390/en11102697

M. A. Khan, H. Camur, and Y. Kassem, "Modeling predictive assessment of wind energy potential as a power generation sources at some selected locations in Pakistan," Modeling Earth Systems and Environment, vol. 5, no. 2, pp. 555–569, Jun. 2019. DOI: https://doi.org/10.1007/s40808-018-0546-6

O. Alavi, K. Mohammadi, and A. Mostafaeipour, "Evaluating the suitability of wind speed probability distribution models: A case of study of east and southeast parts of Iran," Energy Conversion and Management, vol. 119, pp. 101–108, Jul. 2016. DOI: https://doi.org/10.1016/j.enconman.2016.04.039

N. Masseran, "Evaluating wind power density models and their statistical properties," Energy, vol. 84, pp. 533–541, May 2015. DOI: https://doi.org/10.1016/j.energy.2015.03.018

Y. Kassem, H. Gokcekus, A. Iravanian, and R. Gokcekus, "Predictive suitability of renewable energy for desalination plants: the case of guzelyurt region in northern Cyprus," Modeling Earth Systems and Environment, vol. 8, no. 3, pp. 3657–3677, Sep. 2022. DOI: https://doi.org/10.1007/s40808-021-01315-0

N. Natarajan, M. Vasudevan, and S. Rehman, "Evaluation of suitability of wind speed probability distribution models: a case study from Tamil Nadu, India," Environmental Science and Pollution Research, vol. 29, no. 57, pp. 85855–85868, Dec. 2022. DOI: https://doi.org/10.1007/s11356-021-14315-5

Y. Kassem and M. H. A. Abdalla, "Modeling predictive suitability to identify the potential of wind and solar energy as a driver of sustainable development in the Red Sea state, Sudan," Environmental Science and Pollution Research, vol. 29, no. 29, pp. 44233–44254, Jun. 2022. DOI: https://doi.org/10.1007/s11356-022-19062-9

N. Aries, S. M. Boudia, and H. Ounis, "Deep assessment of wind speed distribution models: A case study of four sites in Algeria," Energy Conversion and Management, vol. 155, pp. 78–90, Jan. 2018. DOI: https://doi.org/10.1016/j.enconman.2017.10.082

P. Wais, "Two and three-parameter Weibull distribution in available wind power analysis," Renewable Energy, vol. 103, pp. 15–29, Apr. 2017. DOI: https://doi.org/10.1016/j.renene.2016.10.041

G. Al Zohbi, P. Hendrick, and P. Bouillard, "Wind characteristics and wind energy potential analysis in five sites in Lebanon," International Journal of Hydrogen Energy, vol. 40, no. 44, pp. 15311–15319, Nov. 2015. DOI: https://doi.org/10.1016/j.ijhydene.2015.04.115

Y. Kassem, H. Gokcekus, and M. Zeitoun, "Modeling of techno-economic assessment on wind energy potential at three selected coastal regions in Lebanon," Modeling Earth Systems and Environment, vol. 5, no. 3, pp. 1037–1049, Sep. 2019. DOI: https://doi.org/10.1007/s40808-019-00589-9

G. Al Zohbi, P. Hendrick, and P. Bouillard, "Assessment of wind energy potential in Lebanon," Research in Marine Sciences, vol. 3, no. 4, pp. 401–414, 2018.

Y. Kassem, H. Gokcekus, and W. Janbein, "Predictive model and assessment of the potential for wind and solar power in Rayak region, Lebanon," Modeling Earth Systems and Environment, vol. 7, no. 3, pp. 1475–1502, Sep. 2021. DOI: https://doi.org/10.1007/s40808-020-00866-y

M. Elkhoury, Z. Nakad, and S. Shatila, "The Assessment of Wind Power for Electricity Generation in Lebanon," Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 32, no. 13, pp. 1236–1247, Apr. 2010. DOI: https://doi.org/10.1080/15567030802706754

Y. Kassem, M. M. Mizran, and S. M. Alsayas, "Evaluation of the Wind Energy Potential in Lebanon’s Coastal Regions using Weibull Distribution Function," International Journal of Engineering Research and Technology, vol. 12, no. 6, pp. 784–792, 2019.

Y. Kassem, H. Gokcekus, H. Camur, and A. H. A. Abdelnaby, "Wind Power Generation Scenarios in Lebanon," Engineering, Technology & Applied Science Research, vol. 12, no. 6, pp. 9551–9559, Dec. 2022. DOI: https://doi.org/10.48084/etasr.5258

H. Gokcekus, Y. Kassem, and M. A. Hassan, "Evaluation of Wind Potential at Eight Selected Locations in Northern Lebanon Using Open Source Data," International Journal of Applied Engineering Research, vol. 14, no. 11, pp. 2789–2794, 2019.

Y. Kassem, H. Camur, M. A. H. A. Abdalla, B. D. Erdem, and A. M. R. Al-ani, "Evaluation of wind energy potential for different regions in Lebanon based on NASA wind speed database," IOP Conference Series: Earth and Environmental Science, vol. 926, no. 1, Aug. 2021, Art. no. 012093. DOI: https://doi.org/10.1088/1755-1315/926/1/012093

B. Assaf and G. Zihri, "Reducing blackouts via wind power, a sparse grid case in Lebanon," Lebanese Science Journal, vol. 18, no. 1, pp. 106–121, Jun. 2017. DOI: https://doi.org/10.22453/LSJ-018.1.106121

"Visit Mathwave.com - EasyFit - Distribution Fitting Software." https://links.giveawayoftheday.com/mathwave.com.

C. Jung, D. Schindler, J. Laible, and A. Buchholz, "Introducing a system of wind speed distributions for modeling properties of wind speed regimes around the world," Energy Conversion and Management, vol. 144, pp. 181–192, Jul. 2017. DOI: https://doi.org/10.1016/j.enconman.2017.04.044

S. O. Fadlallah, D. E. Benhadji Serradj, and D. M. Sedzro, "Is this the right time for Sudan to replace diesel-powered generator systems with wind turbines?," Renewable Energy, vol. 180, pp. 40–54, Dec. 2021. DOI: https://doi.org/10.1016/j.renene.2021.08.018

B. Bilal, K. H. Adjallah, K. Yetilmezsoy, M. Bahramian, and E. Kiyan, "Determination of wind potential characteristics and techno-economic feasibility analysis of wind turbines for Northwest Africa," Energy, vol. 218, Mar. 2021, Art. no. 119558. DOI: https://doi.org/10.1016/j.energy.2020.119558

A. S. Khraiwish Dalabeeh, "Techno-economic analysis of wind power generation for selected locations in Jordan," Renewable Energy, vol. 101, pp. 1369–1378, Feb. 2017. DOI: https://doi.org/10.1016/j.renene.2016.10.003

M. Adnan, J. Ahmad, S. F. Ali, and M. Imran, "A techno-economic analysis for power generation through wind energy: A case study of Pakistan," Energy Reports, vol. 7, pp. 1424–1443, Nov. 2021. DOI: https://doi.org/10.1016/j.egyr.2021.02.068

M. M. Riaz and B. H. Khan, "Techno-Economic Analysis and Planning for the Development of Large Scale Offshore Wind Farm in India," International Journal of Renewable Energy Development, vol. 10, no. 2, pp. 257–268, May 2021. DOI: https://doi.org/10.14710/ijred.2021.34029

A. M. H. A. Khajah and S. P. Philbin, "Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait," Clean Technologies, vol. 4, no. 1, pp. 14–34, Mar. 2022. DOI: https://doi.org/10.3390/cleantechnol4010002

K. A. Adeyeye, N. Ijumba, and J. S. Colton, "A Techno-Economic Model for Wind Energy Costs Analysis for Low Wind Speed Areas," Processes, vol. 9, no. 8, Aug. 2021, Art. no. 1463. DOI: https://doi.org/10.3390/pr9081463

F. Leon and A. Ramos, "An Assessment of Renewable Energies in a Seawater Desalination Plant with Reverse Osmosis Membranes," Membranes, vol. 11, no. 11, Nov. 2021, Art. no. 883. DOI: https://doi.org/10.3390/membranes11110883

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How to Cite

[1]
Kassem, Y., Gokcekus, H. and Essayah, A.M.S. 2023. Wind Power Potential Assessment at Different Locations in Lebanon: Best–Fit Probability Distribution Model and Techno-Economic Feasibility . Engineering, Technology & Applied Science Research. 13, 2 (Apr. 2023), 10578–10587. DOI:https://doi.org/10.48084/etasr.5686.

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