Potential and economic feasibility of a wind power plant in Ciudad Juárez, Mexico

  1. Aryanfar, Yashar 1
  2. Garcia Alcaraz , Jorge Luis
  3. Blanco Fernandez, Julio 2
  4. Avelar Sosa, Liliana 3
  1. 1 Department of Electrical Engineering and Computer Sciences, Autonomous University of Ciudad Juarez, Ciudad Juárez 32310, Mexico
  2. 2 3Department of Electrical Engineering, University of La Rioja. C/ San José de Calasanz 31, Logroño 26004, Logroño, La Rioja, Spain
  3. 3 Department of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juárez. Av. Del Charro 450 Norte. Col. Partido Romero. Ciudad Juárez 32310, Chihuahua, México
Journal:
CT&F - Ciencia, tecnología y futuro

ISSN: 0122-5383

Year of publication: 2022

Volume: 12

Issue: 2

Pages: 39-47

Type: Article

DOI: 10.29047/01225383.623 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: CT&F - Ciencia, tecnología y futuro

Institutional repository: lock_openOpen access Editor

Abstract

This study investigated the wind energy potential of Ciudad Juárez (Chihuahua, Mexico) for a whole year. The viability of employing three small-scale wind turbine models, including the S-343, Bergey BWC Excel, and AOC 15/50, in Ciudad Juarez, located in the northern Mexican state of Chihuahua in Mexico, is studied in the first stage using RETScreen software. The performance of these three turbine models was subjected to sensitivity analysis in the following study stage using the three defined economic scenarios, assuming a 7% inflation rate, a 9% discount rate, a 7% fuel cost escalation rate, and a 20-year project duration. Finally, the circumstances under which these turbines operate in Ciudad Juarez are discussed economically. Findings indicate that the study site is not economically appropriate, not even for the installation of specific small wind turbines. Finally, it was suggested that the viability of adopting alternative renewable energy systems, such as solar and hybrid systems (photovoltaic wind), be examined in the upcoming study in Ciudad Juárez.

Bibliographic References

  • Jaramillo-Cardona, J. P., Perafan-Lopez, J. C., Torres-Madroñero, J. L., Nieto-Londoño, C., & Sierra-Pérez, J. (2022). Techno-economic assessment of small wind turbines under la Guajira-Colombia resource conditions. CT&F-Ciencia, Tecnología y Futuro, 12(1), 45-56. https://doi.org/10.29047/01225383.400
  • Amaya-Martínez, P. A., Saavedra-Montes, A. J., & Arango-Zuluaga, E. I. (2014). A statistical analysis of wind speed distribution models in the Aburrá Valley, Colombia. CT&F-Ciencia, Tecnología y Futuro, 5(5), 121-136. https://doi.org/10.29047/01225383.36
  • Pérez-Denicia, E., Fernández-Luqueño, F., & Vilariño-Ayala, D. (2021). Suitability assessment for electricity generation through renewable sources: Towards sustainable energy production. CT&F-Ciencia, Tecnología y Futuro, 11(1), 109-122. https://doi.org/10.29047/01225383.260
  • Cancino-Solórzano, Y., Gutiérrez-Trashorras, A. J., & Xiberta-Bernat, J. (2011). Current state of wind energy in Mexico, achievements and perspectives. Renewable and Sustainable Energy Reviews, 15(8), 3552-3557. https://doi.org/10.1016/j.rser.2011.05.009
  • Huesca-Pérez, M. E., Sheinbaum-Pardo, C., & Köppel, J. (2016). Social implications of siting wind energy in a disadvantaged region–The case of the Isthmus of Tehuantepec, Mexico. Renewable and Sustainable Energy Reviews, 58, 952-965. https://doi.org/10.1016/j.rser.2015.12.310
  • Velasco-Herrejon, P., & Bauwens, T. (2020). Energy justice from the bottom up: A capability approach to community acceptance of wind energy in Mexico. Energy Research & Social Science, 70, 101711. https://doi.org/10.1016/j.erss.2020.101711
  • Hernández-Escobedo, Q., Perea-Moreno, A. J., & Manzano-Agugliaro, F. (2018). Wind energy research in Mexico. Renewable Energy, 123, 719-729. https://doi.org/10.1016/j.renene.2018.02.101
  • Dunlap, A. (2018). Counterinsurgency for wind energy: the Bíi Hioxo wind park in Juchitán, Mexico. The Journal of Peasant Studies, 45(3), 630-652. https://doi.org/10.1080/03066150.2016.1259221
  • Perea-Moreno, A. J., Alcalá, G., & Hernandez-Escobedo, Q. (2019). Seasonal wind energy characterization in the Gulf of Mexico. Energies, 13(1), 93. https://doi.org/10.3390/en13010093
  • Siamanta, Z. C., & Dunlap, A. (2019). ‘Accumulation by wind energy’: Wind energy development as a capitalist Trojan horse in Crete, Greece and Oaxaca, Mexico. ACME: An International Journal for Critical Geographies, 18(4), 925-955. https://acme-journal.org/index.php/acme/article/view/1718
  • Himri, Y., Merzouk, M., Merzouk, N. K., & Himri, S. (2020). Potential and economic feasibility of wind energy in south West region of Algeria. Sustainable Energy Technologies and Assessments, 38, 100643.. https://doi.org/10.1016/j.seta.2020.100643
  • Serdari, E., Muda, V., Buzra, U., Bërdufi, I., Halili, D., Halili, M., & Berberi, P. (2019, February). The feasibility study of a 12 MW grid-connected wind power farm in Albania using RETScreen. In AIP Conference Proceedings (Vol. 2075, No. 1, p. 200021). AIP Publishing LLC. https://doi.org/10.1063/1.5099035
  • Hadi, F. A., Oudah, S. S., & Al-Baldawi, R. A. (2020). An Economic Study of a Wind Energy Project Using Different Sources of Wind Data. Iraqi Journal of Science, 322-332. https://doi.org/10.24996/ijs.2020.61.2.10
  • Malka, L., I. Konomi, I., Gjeta, A., Drenova, S., & Gjikoka, J. (2020). An approach to the large-scale integration of wind energy in Albania. International Journal of Energy Economics and Policy, 10, 327-343. https://doi.org/10.32479/ijeep.9917
  • Taghinezhad, J., & Sheidaei, S. (2022). Prediction of operating parameters and output power of ducted wind turbine using artificial neural networks. Energy Reports, 8, 3085-3095. https://doi.org/10.1016/j.egyr.2022.02.065
  • Wang, L., Guo, Y., Fan, M., & Li, X. (2022). Wind speed prediction using measurements from neighboring locations and combining the extreme learning machine and the AdaBoost algorithm. Energy Reports, 8, 1508-1518. https://doi.org/10.1016/j.egyr.2021.12.062
  • Lee, C. (2022). Long-term wind speed interpolation using anisotropic regression kriging with regional heterogeneous terrain and solar insolation in the United States. Energy Reports, 8, 12-23. https://doi.org/10.1016/j.egyr.2021.11.285
  • Zhang, Z., Liu, X., Zhao, D., Post, S., & Chen, J. (2022). Overview of the development and application of wind energy in New Zealand. Energy and Built Environment. https://doi.org/10.1016/j.enbenv.2022.06.009
  • Rezaei, M., Naghdi-Khozani, N., & Jafari, N. (2020). Wind energy utilization for hydrogen production in an underdeveloped country: An economic investigation. Renewable Energy, 147, 1044-1057.. https://doi.org/10.1016/j.renene.2019.09.079
  • Rezaei, M., Mostafaeipour, A., Saidi-Mehrabad, M., Qolipour, M., Sedaghat, A., Arabnia, H. R., & Momeni, M. (2020). Sensitivity analysis of criteria to optimize wind farm localizing: A case study. Wind Engineering, 44(3), 294-312. https://doi.org/10.1177/0309524X19849848
  • Rezaei-Shouroki, M., Mostafaeipour, A., & Qolipour, M. (2017). Prioritizing of wind farm locations for hydrogen production: A case study. International Journal of Hydrogen Energy, 42(15), 9500-9510. https://doi.org/10.1016/j.ijhydene.2017.02.072
  • Miranda, R. F., Salgado-Herrera, N. M., Rodríguez-Hernández, O., Rodríguez-Rodríguez, J. R., Robles, M., Ruiz-Robles, D., & Venegas-Rebollar, V. (2022). Distributed generation in low-voltage DC systems by wind energy in the Baja California Peninsula, Mexico. Energy, 242, 122530. https://doi.org/10.1016/j.energy.2021.122530
  • Hernández Galvez, G., Chuck Liévano, D., Sarracino Martínez, O., Lastres Danguillecourt, O., Dorrego Portela, J. R., Narcía, A. T., ... & Hernandez-Escobedo, Q. (2022). Harnessing Offshore Wind Energy along the Mexican Coastline in the Gulf of Mexico—An Exploratory Study including Sustainability Criteria. Sustainability, 14(10), 5877. https://doi.org/10.3390/su14105877
  • Q. Hernández-Escobedo, R. Saldaña-Flores, E.R. Rodríguez-García, F. Manzano-Agugliaro, Wind energy resource in Northern Mexico, Renewable and Sustainable Energy Reviews, 32 (2014) 890-914. https://doi.org/10.1016/j.rser.2014.01.043
  • Rivera, N. I. R., Gill, T. E., Gebhart, K. A., Hand, J. L., Bleiweiss, M. P., & Fitzgerald, R. M. (2009). Wind modeling of Chihuahuan Desert dust outbreaks. Atmospheric Environment, 43(2), 347-354. https://doi.org/10.1016/j.atmosenv.2008.09.069
  • Mostafaeipour, A. (2010). Feasibility study of harnessing wind energy for turbine installation in province of Yazd in Iran. Renewable and Sustainable Energy Reviews, 14(1), 93-111. https://doi.org/10.1016/j.rser.2009.05.009
  • Patel, M. R. (2021). Wind and solar power systems: design, analysis, and operation. CRC press. https://www.routledge.com/Wind-and-Solar-Power-Systems-Design--Analysis--and-Operation/Patel-Beik/p/book/9780367476939
  • Palese, C., Lässig, J. L., Cogliati, M. G., & Bastanski, M. A. (2000). Wind regime and wind power in North Patagonia, Argentina. Wind Engineering, 24(5), 361-377. https://doi.org/10.1260/0309524001495738
  • Rehman, S., Halawani, T. O., & Husain, T. (1994). Weibull parameters for wind speed distribution in Saudi Arabia. Solar Energy, 53(6), 473-479. https://doi.org/10.1016/0038-092X(94)90126-M
  • Masoudinia, F. (2013, April). Retscreen--Small Hydro Project Software. In 2013 International Conference on Communication Systems and Network Technologies (pp. 858-861). IEEE. https://doi.org/10.1109/CSNT.2013.184
  • Leng, G. J., Ah-You, K., Painchaud, G., Meloche, N., Bennett, K., Carpenter, S., ... & Sellers, P. (1998). Renewable energy technologies: project assessment tool: RETScreen {sup T} M https://www.osti.gov/biblio/678950
  • SUSENO, W. J. (2021). STUDI KELAYAKAN EKONOMI PEMBANGKIT LISTRIK TENAGA HYBRID (PLTH) PANTAI BARU MENGGUNAKAN SOFTWARE RETSCREEN (Doctoral dissertation, Universitas Islam Sultan Agung Semarang).
  • http://wisuda.unissula.ac.id/app/webroot/img/library/detail82/S1%20Teknik%20Elektro_30601700037_fullpdf.pdf
  • Nedaei, M. (2014). Wind resource assessment in Hormozgan province in Iran. International Journal of Sustainable Energy, 33(3), 650-694. https://doi.org/10.1080/14786451.2013.784319
  • Demirbas, A. (2009). Global renewable energy projections. Energy Sources, Part B, 4(2), 212-224. https://doi.org/10.1080/15567240701620499.
  • Hrayshat, E. S. (2009). Techno-economic analysis of electricity generation by means of a proposed 50 MW grid-connected wind power plant for Jordan. Energy Sources, Part B, 4(3), 247-260. https://doi.org/10.1080/15567240802534235