Generation of green hydrogen from wind energy in Huanchaco—La Libertad, Peru

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Article ID: 795
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DOI:

https://doi.org/10.18686/cest795

Keywords:

Weibull distribution , wind power density , capacity factor , proton exchange membrane electrolysis , levelized cost of hydrogen , seasonal wind variability , resource assessment

Abstract

This study evaluates the technical potential for green hydrogen production from wind energy in the coastal district of Huanchaco, located in the La Libertad region of northern Peru. A long-term dataset of hourly wind speed records from 2010 to 2024, obtained from the NASA POWER (MERRA-2) database, was used to characterize the wind resource. Wind speeds measured at 50 m were extrapolated to the turbine hub height (80 m) using the power law. The statistical behavior of wind speed was modeled using a two-parameter Weibull distribution, with parameters estimated through the Maximum Likelihood Method (MLM), achieving an excellent fit (R2 > 0.99; RMSE < 0.01). The results indicate a moderate but seasonally stable wind regime, with monthly wind power density values ranging from 71 to 216 W/m2 and capacity factors between 0.17 and 0.32 for a Siemens Gamesa SG 2.1-114 wind turbine. The estimated annual electricity generation reaches approximately 4.65 GWh, enabling a hydrogen production of about 77.6 t per year through proton exchange membrane (PEM) electrolysis, assuming a specific energy consumption of 54 kWh/kg and a rectifier efficiency of 90%. A preliminary economic analysis yields a levelized cost of hydrogen (LCOH) of approximately 7.1 USD/kg under current investment conditions. These findings demonstrate that coastal regions, characterized by moderate but temporally stable wind regimes, can support technically viable configurations for decentralized green hydrogen production. The study provides region-specific quantitative evidence that contributes to energy planning and highlights the importance of considering both wind resource magnitude and temporal stability in wind-to-hydrogen system assessments.

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2026-05-18

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Castillo-Vargas, S.-A., Villoslada-Chilón, A.-M., Leiva-Piedra, J.-L., & Ramirez-Juidias, E. (2026). Generation of green hydrogen from wind energy in Huanchaco—La Libertad, Peru. Clean Energy Science and Technology, 4(3). https://doi.org/10.18686/cest795

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Vol. 4 No. 3 (2026): In progress

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Copyright (c) 2026 Santos-Andrés Castillo-Vargas, Alexander-Manuel Villoslada-Chilón, Jorge-Luis Leiva-Piedra, Emilio Ramirez-Juidias

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References

1. Umer M, Abas N, Rauf S, et al. GHG emissions estimation and assessment of Pakistan’s power sector: A roadmap towards low carbon future. Results in Engineering. 2024; 22: 102354. doi: 10.1016/j.rineng.2024.102354 DOI: https://doi.org/10.1016/j.rineng.2024.102354

2. International Energy Agency. World Energy Outlook 2024. International Energy Agency; 2024. Available online: https://www.iea.org/reports/world-energy-outlook-2024

3. Calvin K, Dasgupta D, Krinner G, et al. IPCC, 2023: Climate Change 2023: Synthesis Report. Intergovernmental Panel on Climate Change; 2023. doi: 10.59327/IPCC/AR6-9789291691647 DOI: https://doi.org/10.59327/IPCC/AR6-9789291691647

4. Guerra-Coss FA, Flores J, Aragón-Gastelum JL, et al. Do nurse plants enhance cactus survival under global warming? Experimental evidence from Coryphantha maiz-tablasensis, a threatened species. Journal of Arid Environments. 2025; 231: 105461. doi: 10.1016/j.jaridenv.2025.105461 DOI: https://doi.org/10.1016/j.jaridenv.2025.105461

5. Majewska A, Gierałtowska U. Impact of Economic Affluence on CO2 Emissions in CEE Countries. Energies. 2022; 15(1): 322. doi: 10.3390/en15010322 DOI: https://doi.org/10.3390/en15010322

6. Liu TY, Li ZY. Does global warming affect the ecological surplus? Journal for Nature Conservation. 2025; 88: 127015. doi: 10.1016/j.jnc.2025.127015 DOI: https://doi.org/10.1016/j.jnc.2025.127015

7. Yin J, Xue Y, Li Y, et al. Efficacy of fisheries management strategies in mitigating ecological, social, and economic risks of climate warming in China. Journal of Environmental Management. 2025; 373: 123859. doi: 10.1016/j.jenvman.2024.123859 DOI: https://doi.org/10.1016/j.jenvman.2024.123859

8. Rayhan A, Kinzler R, Rayhan R. Climate change and global warming: Studying impacts, causes, mitigation, and adaptation. Preprint. 2023; doi: 10.13140/RG.2.2.23746.76489

9. Ministry of Energy and Mines. National Energy Balance 2022. Ministry of Energy and Mines; 2024. Available online: https://www.gob.pe/institucion/minem/informes-publicaciones/5575775-balance-nacional-de-energia-2022 (in Spanish)

10. Osinergmin. Statistical Bulletin on Natural Gas Production, Processing, Transportation, and Consumption—Second Quarter 2024. Osinergmin; 2024. Available online: https://www.osinergmin.gob.pe/seccion/centro_documental/gas_natural/Documentos/Publicaciones/Osinergmin-boletin-estadistico-gas-natural-2024-II.pdf (in Spanish)

11. Hao F. Political context, carbon dependence, climate vulnerability, and renewable energy consumption in the United States, 2000–2022. Energy Research & Social Science. 2025; 125: 104083. doi: 10.1016/j.erss.2025.104083 DOI: https://doi.org/10.1016/j.erss.2025.104083

12. Atia M, Awad ME, Hassanean MHM, et al. Green hydrogen production study in existing oil refinery with evaluating technical, economic, and environmental outcomes. Sustainable Chemistry for Climate Action. 2025; 7: 100136. doi: 10.1016/j.scca.2025.100136 DOI: https://doi.org/10.1016/j.scca.2025.100136

13. Elazab MA, Elgohr AT, Bassyouni M, et al. Green Hydrogen: Unleashing the Potential for Sustainable Energy Generation. Results in Engineering. 2025; 27: 106031. doi: 10.1016/j.rineng.2025.106031 DOI: https://doi.org/10.1016/j.rineng.2025.106031

14. Roy TK. Techno-economic and environmental assessment of green hydrogen production in multiple Australian regions using different electrolyzer technologies. Renewable Energy. 2026; 256: 123879. doi: 10.1016/j.renene.2025.123879 DOI: https://doi.org/10.1016/j.renene.2025.123879

15. International Renewable Energy Agency. Renewable Energy Statistics 2024. International Renewable Energy Agency; 2024. Available online: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2024/Jul/IRENA_Renewable_Energy_Statistics_2024.pdf

16. Wang C, Deng J, Dibble RW, et al. A novel hydrogen energy storage system: Power regeneration employing a 70 % NITE Argon Power Cycle hydrogen-fueled engine. International Journal of Hydrogen Energy. 2025; 178: 151531. doi: 10.1016/j.ijhydene.2025.151531 DOI: https://doi.org/10.1016/j.ijhydene.2025.151531

17. Andreae E, Fan YF, Petersen M, et al. Green hydrogen production pathways: Comparative insights from Denmark, the United States, and China. Energy Conversion and Management. 2025; 342: 120065. doi: 10.1016/j.enconman.2025.120065 DOI: https://doi.org/10.1016/j.enconman.2025.120065

18. Lawrence-Griffiths M, Timmis A, Morton C. Modelling hydrogen adoption in the United States aviation industry through integration of green hydrogen hubs. Journal of the Air Transport Research Society. 2025; 5: 100079. doi: 10.1016/j.jatrs.2025.100079 DOI: https://doi.org/10.1016/j.jatrs.2025.100079

19. Kaleem A, Zaman A, Song Y. Exploring green hydrogen production potential in Western Australia: A decision framework for site suitability and scenario evaluation. Sustainable Energy Technologies and Assessments. 2025; 83: 104652. doi: 10.1016/j.seta.2025.104652 DOI: https://doi.org/10.1016/j.seta.2025.104652

20. Solano ES, Affonso CM. Wind and solar-based green hydrogen potential in Brazil: Production, costs, and CO2 mitigations. International Journal of Hydrogen Energy. 2025; 172: 151212. doi: 10.1016/j.ijhydene.2025.151212 DOI: https://doi.org/10.1016/j.ijhydene.2025.151212

21. Cacciuttolo C, Huertas A, Montoya B, et al. The Present and Future of Production of Green Hydrogen, Green Ammonia, and Green E-Fuels for the Decarbonization of the Planet from the Magallanes Region, Chile. Applied Sciences. 2025; 15(11): 6228. doi: 10.3390/app15116228 DOI: https://doi.org/10.3390/app15116228

22. Caravantes D, Carbajal J, Celis C, et al. Estimation of hydrogen production potential from renewable resources in northern Peru. International Journal of Hydrogen Energy. 2024; 50: 186–198. doi: 10.1016/j.ijhydene.2023.07.350 DOI: https://doi.org/10.1016/j.ijhydene.2023.07.350

23. Derwent RG. Intercomparison of the mechanisms of hydrogen generation from the oxidation of organic compounds: Consequences for the global warming potential (GWP) for hydrogen. International Journal of Hydrogen Energy. 2025; 148: 150116. doi: 10.1016/j.ijhydene.2025.150116 DOI: https://doi.org/10.1016/j.ijhydene.2025.150116

24. Wagner L, Raftopoulos M, Rasmussen MB. Fragmenting deliberation: Green hydrogen and the conditions for public participation. World Development. 2025; 196: 107147. doi: 10.1016/j.worlddev.2025.107147 DOI: https://doi.org/10.1016/j.worlddev.2025.107147

25. Shen H, Crespo Del Granado P, Jorge RS, et al. Environmental and climate impacts of a large-scale deployment of green hydrogen in Europe. Energy and Climate Change. 2024; 5: 100133. doi: 10.1016/j.egycc.2024.100133 DOI: https://doi.org/10.1016/j.egycc.2024.100133

26. Georgescu CM, Olimid AP, Olimid DA, et al. A Cross-Sectional Review of Energy Transition, Security and Climate Change Policies. Economics Ecology Socium. 2025; 9(2): 21–38. doi: 10.61954/2616-7107/2025.9.2-2 DOI: https://doi.org/10.61954/2616-7107/2025.9.2-2

27. Koval V, Borodina O, Lomachynska I, et al. Model Analysis of Eco-Innovation for National Decarbonisation Transition in Integrated European Energy System. Energies. 2022; 15(9): 3306. doi: 10.3390/en15093306 DOI: https://doi.org/10.3390/en15093306

28. Liao G, Gong Y, Zhang L, et al. Semiconductor polymeric graphitic carbon nitride photocatalysts: the “holy grail” for the photocatalytic hydrogen evolution reaction under visible light. Energy & Environmental Science. 2019; 12(7): 2080–2147. doi: 10.1039/C9EE00717B DOI: https://doi.org/10.1039/C9EE00717B

29. Liao G, Wu M. Photoreforming of lignocellulose into hydrogen. The Innovation Energy. 2024; 1(4): 100047. doi: 10.59717/j.xinn-energy.2024.100047 DOI: https://doi.org/10.59717/j.xinn-energy.2024.100047

30. Wu Q, Yang X, Yang J, et al. Size effect of ruthenium nanoparticles on water cracking properties with different crystal planes for boosting electrocatalytic hydrogen evolution. Journal of Colloid and Interface Science. 2023; 644: 238–245. doi: 10.1016/j.jcis.2023.04.076 DOI: https://doi.org/10.1016/j.jcis.2023.04.076

31. Li C, Cheng B, Lu H, et al. Kinetically and Thermodynamically Favorable Ni–Al Layered Double Hydroxide/Ni-Doped Zn0.5 Cd0.5 S S-Scheme Heterojunction Triggering Photocatalytic H2 Evolution. Inorganic Chemistry. 2023; 62(17): 6843–6850. doi: 10.1021/acs.inorgchem.3c00613 DOI: https://doi.org/10.1021/acs.inorgchem.3c00613

32. Chaurasiya PK, Ahmed S, Warudkar V. Study of different parameters estimation methods of Weibull distribution to determine wind power density using ground based Doppler SODAR instrument. Alexandria Engineering Journal. 2018; 57(4): 2299–2311. doi: 10.1016/j.aej.2017.08.008 DOI: https://doi.org/10.1016/j.aej.2017.08.008

33. Bousla M, Belfkir M, Haddi A, et al. Comparative evaluation of Weibull parameter estimation methods for wind energy forecasting: A case study of the Tetouan wind farm with SCADA-based availability integration. Results in Engineering. 2025; 27: 106835. doi: 10.1016/j.rineng.2025.106835 DOI: https://doi.org/10.1016/j.rineng.2025.106835

34. Pérez Londo NA, Lema Londo DS, Ormaza Hugo R, et al. Estimation of Weibull distribution parameters to assess the wind energy potential of high altitude sites in the Andean region of Ecuador. Results in Engineering. 2025; 27: 106053. doi: 10.1016/j.rineng.2025.106053 DOI: https://doi.org/10.1016/j.rineng.2025.106053

35. Yang X, Xie L, Chen J, et al. Estimation of Weibull distribution using the back-propagation neural network for fatigue failure data. Probabilistic Engineering Mechanics. 2025; 82: 103828. doi: 10.1016/j.probengmech.2025.103828 DOI: https://doi.org/10.1016/j.probengmech.2025.103828

36. Guarienti JA, Kaufmann Almeida A, Menegati Neto A, et al. Performance analysis of numerical methods for determining Weibull distribution parameters applied to wind speed in Mato Grosso do Sul, Brazil. Sustainable Energy Technologies and Assessments. 2020; 42: 100854. doi: 10.1016/j.seta.2020.100854 DOI: https://doi.org/10.1016/j.seta.2020.100854

37. Khchine YE. Wind energy potential assessment for electricity and hydrogen production in Morocco’s southern regions. Energy Nexus. 2025; 19: 100474. doi: 10.1016/j.nexus.2025.100474 DOI: https://doi.org/10.1016/j.nexus.2025.100474

38. Satymov R, Bogdanov D, Breyer C. Global-local analysis of cost-optimal onshore wind turbine configurations considering wind classes and hub heights. Energy. 2022; 256: 124629. doi: 10.1016/j.energy.2022.124629 DOI: https://doi.org/10.1016/j.energy.2022.124629

39. SIEMENS Gamesa. SG 2.1-114: Benchmark in the Sector for Medium- and Low-Wind Conditions. SIEMENS Gamesa; 2021. Available online: https://wind-turbine.com/cms/storage/uploads/2021/11/16/siemensgamesaonshorewindturbinesg21114en2_uid_6193dae2c5be0.pdf

40. The Wind Power. SG 2.1-114. The Wind Power; 2025. Available online: https://www.thewindpower.net/turbine_es_1661_siemens-gamesa_sg-2.1-114.php (in Spanish)

41. Guevara Díaz JM. Quantification of the wind profile up to 100 m above the surface and its impact on wind climatology. Terra. 2013; 29(46): 81–101. (in Spanish)

42. Geological, Mining and Metallurgical Institute (INGEMMET). Assessment of Coastal Erosion Hazard in the Huanchaco Beach Resort, La Libertad Region, Trujillo Province, Huanchaco District. INGEMMET; 2020. Available online: https://repositorio.ingemmet.gob.pe/handle/20.500.12544/2541 (in Spanish)

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

44. Justus CG, Hargraves WR, Mikhail A, et al. Methods for Estimating Wind Speed Frequency Distributions. Journal of Applied Meteorology. 1978; 17(3): 350–353. doi: 10.1175/1520-0450(1978)017%3C0350:MFEWSF%3E2.0.CO;2 DOI: https://doi.org/10.1175/1520-0450(1978)017<0350:MFEWSF>2.0.CO;2

45. Esnaola G, Ulazia A, Sáenz J, et al. Future changes of global Annual and Seasonal Wind-Energy Production in CMIP6 projections considering air density variation. Energy. 2024; 307: 132706. doi: 10.1016/j.energy.2024.132706 DOI: https://doi.org/10.1016/j.energy.2024.132706

46. Akinci TC, Selcuk Nogay H, Penchev M, et al. A hybrid approach to wind power intensity classification using decision trees and large language models. Renewable Energy. 2025; 250: 123388. doi: 10.1016/j.renene.2025.123388 DOI: https://doi.org/10.1016/j.renene.2025.123388

47. Rotich IK, Musyimi PK. Wind power density characterization in arid and semi-arid Taita-Taveta and Garissa counties of Kenya. Cleaner Engineering and Technology. 2023; 17: 100704. doi: 10.1016/j.clet.2023.100704 DOI: https://doi.org/10.1016/j.clet.2023.100704

48. Makky AA, Kanjo HA, Farag MM, et al. Techno-economic feasibility of green hydrogen production using hybrid solar-wind energy systems in Oman. International Journal of Thermofluids. 2025; 28: 101302. doi: 10.1016/j.ijft.2025.101302 DOI: https://doi.org/10.1016/j.ijft.2025.101302

49. Mendler F, Fragoso Garcia J, Kleinschmitt C, et al. Global optimization of capacity ratios between electrolyser and renewable electricity source to minimize levelized cost of green hydrogen. International Journal of Hydrogen Energy. 2024; 82: 986–993. doi: 10.1016/j.ijhydene.2024.07.320 DOI: https://doi.org/10.1016/j.ijhydene.2024.07.320

50. National Meteorology and Hydrology Service of Peru. SENAMHI—ENFEN Technical Report No. 07/2022. National Meteorology and Hydrology Service of Peru; 2022. Available online: https://www.gob.pe/institucion/senamhi/informes-publicaciones/3381817-informe-tecnico-senamhi-enfen-n-07-2022 (in Spanish)

51. National Meteorology and Hydrology Service of Peru. SENAMHI—ENFEN Technical Report No. 06-2024. National Meteorology and Hydrology Service of Peru; 2024. Available online: https://www.gob.pe/institucion/senamhi/informes-publicaciones/5801861-informe-tecnico-senamhi-enfen-n-06-2024 (in Spanish)

52. Chamorro-Gómez A, Colas F, Echevin V, et al. Characterization of coastal jets over the Peruvian sea using the WRF regional model. Boletin Instituto del Mar del Perú. 2022; 37(2). doi: 10.53554/boletin.v37i2.372 (in Spanish) DOI: https://doi.org/10.53554/boletin.v37i2.372

53. Yari S, Mohrholz V, Bordbar MH. Wind variability across the North Humboldt Upwelling System. Frontiers in Marine Science. 2023; 10: 1087980. doi: 10.3389/fmars.2023.1087980 DOI: https://doi.org/10.3389/fmars.2023.1087980

54. Tjernström M, Grisogono B. Simulations of Supercritical Flow around Points and Capes in a Coastal Atmosphere. Journal of the Atmospheric Sciences. 2000; 57(1): 108–135. doi: 10.1175/1520-0469(2000)057%3C0108:SOSFAP%3E2.0.CO;2 DOI: https://doi.org/10.1175/1520-0469(2000)057<0108:SOSFAP>2.0.CO;2

55. Jury MR, Alfaro-Garcia LE. Peruvian North Coast Climate Variability and Regional Ocean–Atmosphere Forcing. Coasts. 2024; 4(3): 508–534. doi: 10.3390/coasts4030026 DOI: https://doi.org/10.3390/coasts4030026

56. Penven P, Echevin V, Pasapera J, et al. Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach. Journal of Geophysical Research: Oceans. 2005; 110(C10): 2005JC002945. doi: 10.1029/2005JC002945 DOI: https://doi.org/10.1029/2005JC002945

57. Chaigneau A, Dominguez N, Eldin G, et al. Near-coastal circulation in the Northern Humboldt Current System from shipboard ADCP data. Journal of Geophysical Research: Oceans. 2013; 118(10): 5251–5266. doi: 10.1002/jgrc.20328 DOI: https://doi.org/10.1002/jgrc.20328

58. Kimiti RM, Kariuki FN, Kamau JN, et al. Theoretical and Empirical Limits: Reexamining Betz’s Upper Limit towards a Practical Power Coefficients in Wind Turbines. World Journal of Engineering and Technology. 2024; 12(4): 851–866. doi: 10.4236/wjet.2024.124052 DOI: https://doi.org/10.4236/wjet.2024.124052

59. Abdulkadir MK. Wind Speed Distribution Analysis and Wind Power Density for Katsina, Nigeria. 2025; 7(2). doi: 10.5281/ZENODO.15597806

60. Bai Z, Hao W, Li Q, et al. Enhancing flexibility in wind-powered hydrogen production systems through coordinated electrolyzer operation. Advances in Applied Energy. 2025; 19: 100228. doi: 10.1016/j.adapen.2025.100228 DOI: https://doi.org/10.1016/j.adapen.2025.100228

61. Marefat H, Auger F, Olivier JC, et al. Electrical and aging modeling of PEM water electrolyzers for sustainable hydrogen production: Insights into behavior, degradation, and reliability. Global Energy Interconnection. 2025; 8(4): 537–553. doi: 10.1016/j.gloei.2025.06.004 DOI: https://doi.org/10.1016/j.gloei.2025.06.004

62. Nguyen E, Olivier P, Péra MC, et al. Impact of short-term intermittent operation on experimental industrial PEM and alkaline electrolyzers. International Journal of Hydrogen Energy. 2025; 126: 516–530. doi: 10.1016/j.ijhydene.2025.04.129 DOI: https://doi.org/10.1016/j.ijhydene.2025.04.129

63. Yuan T, Zhang W, Tan J, et al. Analysis of global influencing factors of proton exchange membrane electrolysis cell performance degradation based on digital twin model. Energy Reports. 2025; 14: 3578–3590. doi: 10.1016/j.egyr.2025.10.042 DOI: https://doi.org/10.1016/j.egyr.2025.10.042

64. Kuhnert E, Mayer K, Heidinger M, et al. Impact of intermittent operation on photovoltaic-PEM electrolyzer systems: A degradation study based on accelerated stress testing. International Journal of Hydrogen Energy. 2024; 55: 683–695. doi: 10.1016/j.ijhydene.2023.11.249 DOI: https://doi.org/10.1016/j.ijhydene.2023.11.249

65. Lledó Ll, Torralba V, Soret A, et al. Seasonal forecasts of wind power generation. Renewable Energy. 2019; 143: 91–100. doi: 10.1016/j.renene.2019.04.135 DOI: https://doi.org/10.1016/j.renene.2019.04.135

66. González-Longatt FM. IEC 61400-1 Standard: Wind Modeling Under Normal Conditions. Enero; 2008. Available online: https://fglongatt.org/OLD/Reportes/PRT2008-01.pdf (in Spanish)

67. Reichartz T, Jacobs G, Blickwedel L, et al. Co-Design of a Wind–Hydrogen System: The Effect of Varying Wind Turbine Types on Techno-Economic Parameters. Energies. 2024; 17(18): 4710. doi: 10.3390/en17184710 DOI: https://doi.org/10.3390/en17184710

68. Devrim Y, Öztürk RA. The design and techno-economic evaluation of wind energy integrated on-site hydrogen fueling stations for different electrolyzer technologies. International Journal of Hydrogen Energy. 2025; 159: 150597. doi: 10.1016/j.ijhydene.2025.150597 DOI: https://doi.org/10.1016/j.ijhydene.2025.150597

69. Ahshan R, Onen A, Al-Badi AH. Assessment of wind-to-hydrogen (Wind-H2) generation prospects in the Sultanate of Oman. Renewable Energy. 2022; 200: 271–282. doi: 10.1016/j.renene.2022.09.116 DOI: https://doi.org/10.1016/j.renene.2022.09.116

70. Zhang J, Wang Z, He Y, et al. Comparison of onshore/offshore wind power hydrogen production through water electrolysis by life cycle assessment. Sustainable Energy Technologies and Assessments. 2023; 60: 103515. doi: 10.1016/j.seta.2023.103515 DOI: https://doi.org/10.1016/j.seta.2023.103515

71. Pishgar-Komleh SH, Keyhani A, Sefeedpari P. Wind speed and power density analysis based on Weibull and Rayleigh distributions (A case study: Firouzkooh county of Iran). Renewable and Sustainable Energy Reviews. 2015; 42: 313–322. doi: 10.1016/j.rser.2014.10.028 DOI: https://doi.org/10.1016/j.rser.2014.10.028

72. Lu X, McElroy MB. Global potential for wind-generated electricity. In: Wind Energy Engineering. Elsevier; 2023. pp. 47–61. doi: 10.1016/B978-0-323-99353-1.00033-5 DOI: https://doi.org/10.1016/B978-0-323-99353-1.00033-5

73. Nahui-Ortiz J, Mendoza A, Quillos-Ruiz SA, et al. Energy-Environmental Modelling of A PEM-Type Fuel Cell For Hydrogen Production. In: Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology; 19–23 July 2021; Online. doi: 10.18687/LACCEI2021.1.1.239 DOI: https://doi.org/10.18687/LACCEI2021.1.1.239

74. Aminaho EN, Aminaho NS, Aminaho F. Techno-economic assessments of electrolyzers for hydrogen production. Applied Energy. 2025; 399: 126515. doi: 10.1016/j.apenergy.2025.126515 DOI: https://doi.org/10.1016/j.apenergy.2025.126515

75. Central Reserve Bank of Peru. Monetary Policy Reference Rate. Central Reserve Bank of Peru; 2025. Available online: https://estadisticas.bcrp.gob.pe/estadisticas/series/mensuales/resultados/PD04722MM/html (in Spanish)

76. Hancke R, Holm T, Ulleberg Ø. The case for high-pressure PEM water electrolysis. Energy Conversion and Management. 2022; 261: 115642. doi: 10.1016/j.enconman.2022.115642 DOI: https://doi.org/10.1016/j.enconman.2022.115642

77. Al-Ghussain L, Lu Z, Alrbai M, et al. Global techno-economic and life cycle greenhouse gas emissions assessment of solar and wind based renewable hydrogen production. Applied Energy. 2025; 401: 126595. doi: 10.1016/j.apenergy.2025.126595 DOI: https://doi.org/10.1016/j.apenergy.2025.126595

78. El Kihel B, El Kadri Elyamani NE. Original approach to the techno-economic optimization of wind-based electricity and green hydrogen production: Integrating Weibull analysis with multi-criteria decision-making. Results in Engineering. 2025; 28: 108397. doi: 10.1016/j.rineng.2025.108397 DOI: https://doi.org/10.1016/j.rineng.2025.108397

79. Boujmiraz S, El Ghazi A, Bouziane K, et al. High-resolution AI-based forecasting and techno-economic assessment of green hydrogen production from a hybrid PV/wind system at the regional scale. International Journal of Hydrogen Energy. 2025; 190: 152098. doi: 10.1016/j.ijhydene.2025.152098 DOI: https://doi.org/10.1016/j.ijhydene.2025.152098

80. Ding JW, Fu YS, Lisa Hsieh IY. The cost of green: Analyzing the economic feasibility of hydrogen production from offshore wind power. Energy Conversion and Management: X. 2024; 24: 100770. doi: 10.1016/j.ecmx.2024.100770 DOI: https://doi.org/10.1016/j.ecmx.2024.100770

81. Keller R, Baader FJ, Bardow A, et al. Experimental demonstration of dynamic demand response scheduling for PEM-electrolyzers. Applied Energy. 2025; 393: 126014. doi: 10.1016/j.apenergy.2025.126014 DOI: https://doi.org/10.1016/j.apenergy.2025.126014

82. Xu Y, Li G, Gui Y, et al. Generation of input spectrum for electrolysis stack degradation test applied to wind power PEM hydrogen production. Global Energy Interconnection. 2024; 7(4): 462–474. doi: 10.1016/j.gloei.2024.08.006 DOI: https://doi.org/10.1016/j.gloei.2024.08.006

83. Armijo J, Philibert C. Flexible production of green hydrogen and ammonia from variable solar and wind energy: Case study of Chile and Argentina. International Journal of Hydrogen Energy. 2020; 45(3): 1541–1558. doi: 10.1016/j.ijhydene.2019.11.028 DOI: https://doi.org/10.1016/j.ijhydene.2019.11.028

84. Macedo SF, Peyerl D. Prospects and economic feasibility analysis of wind and solar photovoltaic hybrid systems for hydrogen production and storage: A case study of the Brazilian electric power sector. International Journal of Hydrogen Energy. 2022; 47(19): 10460–10473. doi: 10.1016/j.ijhydene.2022.01.133 DOI: https://doi.org/10.1016/j.ijhydene.2022.01.133

85. Maciel LBB, Viola L, De Queiróz Lamas W, et al. Environmental studies of green hydrogen production by electrolytic process: A comparison of the use of electricity from solar PV, wind energy, and hydroelectric plants. International Journal of Hydrogen Energy. 2023; 48(93): 36584–36604. doi: 10.1016/j.ijhydene.2023.05.334 DOI: https://doi.org/10.1016/j.ijhydene.2023.05.334

86. Buttler A, Spliethoff H. Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review. Renewable and Sustainable Energy Reviews. 2018; 82: 2440–2454. doi: 10.1016/j.rser.2017.09.003 DOI: https://doi.org/10.1016/j.rser.2017.09.003

87. Minnah P, Pope K. Degradation modelling and the impact of intermittent operation on proton exchange membrane electrolyzers. International Journal of Hydrogen Energy. 2026; 202: 152962. doi: 10.1016/j.ijhydene.2025.152962 DOI: https://doi.org/10.1016/j.ijhydene.2025.152962