Abstract
With the increasing consumption of fossil fuel, reducing greenhouse gas (GHG) emissions has become a serious issue that has attracted worldwide attention. Therefore, Lebanon is currently interested in utilizing renewable energy technologies to reduce energy dependence on oil reserves and GHG emissions. The present study is focused on solar and wind power potential and the economic viability of wind/solar systems for the Rayak region in Lebanon for the first time. The input data sources for the study including the Meteorological data for wind speed and NASA database for solar energy. In the assessment of wind energy, a two-parameter Weibull distribution function was used to analyze the characteristics of wind speed. Yearly and seasonal Weibull parameters were calculated for 10 m height using the Maximum likelihood method. In addition, yearly and seasonal wind power density values were calculated. The results showed that the mean annual wind speed and wind power density values were 5.884 m/s and 124.534 W/m2, respectively, during the investigation period. It can be concluded that the value of wind power density at the region was classified as marginal wind power potential and high-scale wind turbines can be used to gather wind energy potential in the region. Furthermore, predicting wind speed depends on various atmospheric factors and random variables. Therefore, 63 ANN models are developed by varying the meteorological parameters to predict the daily wind speed in the selected region. All the models with various combinations are validated and the performances of the models are analyzed using root mean squared error. The results demonstrated that the most relevant input variables for predicting the daily wind speed were found to be temperature, pressure, and relative humidity. In the assessment of wind energy, average monthly global solar radiation data were evaluated. It is found that the annual global solar radiation was 1877.41 kWh/m2, which indicates the selected region has high solar resources and is categorized as an excellent potential class. Moreover, this study provides a comprehensive and integrated feasibility analysis of 100 MW grid-connected wind and solar projects economic projects that can be developed in the country to reduce the electricity crisis and GHG emissions. Several different economic and financial indicators were calculated. The results indicate that the wind farm is a more economical option than the solar plant because of the higher values of NPV, BCR, ALCS, and IRR as well as the lower values of EB, SB, and LCOE.
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References
Abdeladim K, Bouchakour S, Arab AH, Amrouche SO, Yassaa N (2018) Promotion of renewable energy in some MENA region countries. IOP Conf Ser Earth Environ Sci 154:012003. https://doi.org/10.1088/1755-1315/154/1/012003
Adaramola MS (2014) Viability of grid-connected solar PV energy system in Jos, Nigeria. Int J Electr Power Energy Syst 61:64–69. https://doi.org/10.1016/j.ijepes.2014.03.015
Ahmed AS (2019) Analysis the economics of sustainable electricity by wind and its future perspective. J Clean Prod 224:729–738. https://doi.org/10.1016/j.jclepro.2019.03.246
Al Zohbi GA, Hendrick P, Bouillard P (2015) Wind characteristics and wind energy potential analysis in five sites in Lebanon. Int J Hydrogen Energy 40(44):15311–15319. https://doi.org/10.1016/j.ijhydene.2015.04.115
Al Zohbi GA, Hendrick P, Renier C, Bouillard P (2016) The contribution of wind-hydro pumped storage systems in meeting Lebanon’s electricity demand. Int J Hydrogen Energy 41(17):6996–7004. https://doi.org/10.1016/j.ijhydene.2016.01.028
Alayat M, Kassem Y, Çamur H (2018) Assessment of wind energy potential as a power generation source: a case study of eight selected locations in Northern Cyprus. Energies 11(10):2697. https://doi.org/10.3390/en11102697
Alsaad M (2013) Wind energy potential in selected areas in Jordan. Energy Convers Manag 65:704–708. https://doi.org/10.1016/j.enconman.2011.12.037
Chadee XT, Clarke RM (2018) Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago. Renew Sustain Energy Rev 81:2526–2540. https://doi.org/10.1016/j.rser.2017.06.059
Chang B, Starcher K (2019) Evaluation of wind and solar energy investments in Texas. Renew Energy 132:1348–1359. https://doi.org/10.1016/j.renene.2018.09.037
Chedid R, Chaaban F, Salameh S (2001) Policy analysis of greenhouse gas emissions: the case of the Lebanese electricity sector. Energy Convers Manag 42(3):373–392. https://doi.org/10.1016/S0196-8904(00)00060-1
Dabar OA, Awaleh MO, Kirk-Davidoff D, Olauson J, Söder L, Awaleh SI (2019) Wind resource assessment and economic analysis for electricity generation in three locations of the Republic of Djibouti. Energy 185:884–894. https://doi.org/10.1016/j.energy.2019.07.107
Danook SH, Jassim KJ, Hussein AM (2019) The impact of humidity on performance of wind turbine. Case Stud Therm Eng 14:100456. https://doi.org/10.1016/j.csite.2019.100456
Elkhoury M, Nakad Z, Shatila S (2010) The assessment of wind power for electricity generation in Lebanon. Energy Sources Part A Recovery Util Environ Effects 32(13):1236–1247. https://doi.org/10.1080/15567030802706754
Fazelpour F, Markaria E, Soltani N (2017) Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran. Renew Energy 109:646–667. https://doi.org/10.1016/j.renene.2017.03.072
Gökçekuş H, Kassem Y, Al Hassan M (2019) Evaluation of wind potential at eight selected locations in Northern Lebanon using open source data. Int J Appl Eng Res 14(11):2789–2794
Guerrero-Villar F, Dorado-Vicente R, Fike M, Torres-Jiménez E (2019) Influence of ambient conditions on wind speed measurement: impact on the annual energy production assessment. Energy Convers Manag 195:1111–1123. https://doi.org/10.1016/j.enconman.2019.05.067
Gul M, Tai N, Huang W, Nadeem M, Yu M (2019) Assessment of wind power potential and economic analysis at hyderabad in Pakistan: powering to local communities using wind power. Sustainability 11(5):1391. https://doi.org/10.3390/su11051391
Ibarra-Berastegi G, Ulazia A, Saénz J, González-Rojí SJ (2019) Evaluation of Lebanon’s offshore-wind-energy potential. J Mar Sci Eng 7(10):361. https://doi.org/10.3390/jmse7100361
Irwanto M, Gomesh N, Mamat M, Yusoff Y (2014) Assessment of wind power generation potential in Perlis, Malaysia. Renew Sustain Energy Rev 38:296–308. https://doi.org/10.1016/j.rser.2014.05.075
Kassem Y (2018) Computational study on vertical axis wind turbine car: static study. Model Earth Syst Enviro 4(3):1041–1057. https://doi.org/10.1007/s40808-018-0461-x
Kassem Y, Camur H, Abughinda SA, Sefik A (2019a) Wind energy potential assessment in selected regions in Northern Cyprus based on Weibull distribution function. J Eng Appl Sci 15(1):128–140
Kassem Y, Gökçekuş H, Çamur H (2019b) Artificial neural networks for predicting the electrical power of a new configuration of savonius rotor. Advances in intelligent systems and computing 10th international conference on theory and application of soft computing, computing with words and perceptions. ICSCCW. https://doi.org/10.1007/978-3-030-35249-3_116
Kassem Y, Gökçekuş H, Zeitoun M (2019c) Modeling of techno-economic assessment on wind energy potential at three selected coastal regions in Lebanon. Model Earth Syst 5(3):1037–1049. https://doi.org/10.1007/s40808-019-00589-9
Kassem Y, Gökçekuş H, Mizran MM, Alsayas SM (2019d) Evaluation of the wind energy potential in Lebanon's coastal regions using Weibull distribution function. Int J Eng Res Technol 12(6):784–792
Kassem Y, Zoubi R, Gökçekuş H (2019e) The possibility of generating electricity using small-scale wind turbines and solar photovoltaic systems for households in Northern Cyprus: a comparative study. Environments 6(4):47. https://doi.org/10.3390/environments6040047
Kassem Y, Çamur H, Alhuoti SMA (2020) Solar energy technology for Northern Cyprus: assessment, statistical analysis, and feasibility study. Energies 13(4):940. https://doi.org/10.3390/en13040940
Keyhani A, Ghasemi-Varnamkhasti M, Khanali M, Abbaszadeh R (2010) An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran. Energy 35(1):188–201. https://doi.org/10.1016/j.energy.2009.09.009
Khan MA, Çamur H, Kassem Y (2018) Modeling predictive assessment of wind energy potential as a power generation sources at some selected locations in Pakistan. Model Earth Syst Environ 5(2):555–569. https://doi.org/10.1007/s40808-018-0546-6
Laqui W, Zubieta R, Rau P, Mejía A, Lavado W, Ingol E (2019) Can artificial neural networks estimate potential evapotranspiration in Peruvian highlands? Model Earth Syst Environ 5(4):1911–1924. https://doi.org/10.1007/s40808-019-00647-2
Mohammadi K, Alavi O, Mcgowan JG (2017) Use of Birnbaum-Saunders distribution for estimating wind speed and wind power probability distributions: a review. Energy Convers Manag 143:109–122. https://doi.org/10.1016/j.enconman.2017.03.083
Nakad Z, Elkhoury M, Arnaout JP, Shatila S (2012) A feasibility study on establishing wind farms in Lebanon. Energy Sources Part B 7(4):366–375. https://doi.org/10.1080/15567241003645531
Olaofe ZO, Folly KA (2013) Wind energy analysis based on turbine and developed site power curves: a case-study of Darling City. Renew Energy 53:306–318. https://doi.org/10.1016/j.renene.2012.11.003
Osinowo AA, Okogbue EC, Eresanya EO, Akande OS (2017) Evaluation of wind potential and its trends in the mid-Atlantic. Modeling Earth Systems and Environment 3(4):1199–1213. https://doi.org/10.1007/s40808-017-0399-4
Owolabi AB, Nsafon BEK, Roh JW, Suh D, Huh JS (2019) Validating the techno-economic and environmental sustainability of solar PV technology in Nigeria using RETScreen Experts to assess its viability. Sustain Energy Technol Assess 36:100542. https://doi.org/10.1016/j.seta.2019.100542
Owusu PA, Asumadu-Sarkodie S (2016) A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng 3:1. https://doi.org/10.1080/23311916.2016.1167990
Parikh V, Desai C, Joshi D, Nagababu G (2019) Estimation of electricity generation potential by solar radiation on Sardar Sarovar dam. Energy Proced 158:167–172. https://doi.org/10.1016/j.egypro.2019.01.065
Pishgar-Komleh S, Keyhani A, Sefeedpari P (2015) Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran). Renew Sustain Energy Rev 42:313–322. https://doi.org/10.1016/j.rser.2014.10.028
Prasad AA, Taylor RA, Kay M (2017) Assessment of solar and wind resource synergy in Australia. Appl Energy 190:354–367. https://doi.org/10.1016/j.apenergy.2016.12.135
Prăvălie R, Patriche C, Bandoc G (2019) Spatial assessment of solar energy potential at global scale: a geographical approach. J Clean Prod 209:692–721. https://doi.org/10.1016/j.jclepro.2018.10.239
Rafique M, Rehman S, Alam M, Alhems L (2018) Feasibility of a 100 MW installed capacity wind farm for different climatic conditions. Energies 11(8):2147. https://doi.org/10.3390/en11082147
Rehman S, Ahmed M, Mohamed MH, Al-Sulaiman FA (2017) Feasibility study of the grid connected 10 MW installed capacity PV power plants in Saudi Arabia. Renew Sustain Energy Rev 80:319–329. https://doi.org/10.1016/j.rser.2017.05.218
Shu Z, Li Q, Chan P (2015) Statistical analysis of wind characteristics and wind energy potential in Hong Kong. Energy Convers Manag 101:644–657. https://doi.org/10.1016/j.enconman.2015.05.070
Tannous S, Manneh R, Harajli H, Zakhem HE (2018) Comparative cradle-to-grave life cycle assessment of traditional grid-connected and solar stand-alone street light systems: a case study for rural areas in Lebanon. J Clean Prod 186:963–977. https://doi.org/10.1016/j.jclepro.2018.03.155
Ulazia A, Sáenz J, Ibarra-Berastegi G, González-Rojí SJ, Carreno-Madinabeitia S (2019) Global estimations of wind energy potential considering seasonal air density changes. Energy 187:115938. https://doi.org/10.1016/j.energy.2019.115938
Yue W, Xue Y, Liu Y (2017) High humidity aerodynamic effects study on offshore wind turbine airfoil/blade performance through CFD analysis. Int J Rotat Mach 2017:1–15. https://doi.org/10.1155/2017/7570519
Zendehboudi A, Baseer M, Saidur R (2018) Application of support vector machine models for forecasting solar and wind energy resources: a review. J Clean Prod 199:272–285. https://doi.org/10.1016/j.jclepro.2018.07.164
ZhouWx YWU, Liu G (2011) Assessment of onshore wind energy resource and wind-generated electricity potential in Jiangsu, China. Energy Proced 5:418–422. https://doi.org/10.1016/j.egypro.2011.03.072
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Kassem, Y., Gökçekuş, H. & Janbein, W. Predictive model and assessment of the potential for wind and solar power in Rayak region, Lebanon. Model. Earth Syst. Environ. 7, 1475–1502 (2021). https://doi.org/10.1007/s40808-020-00866-y
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DOI: https://doi.org/10.1007/s40808-020-00866-y