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Wind energy integrated green hydrogen system as sustainable solution to decarbonize Iranian Industrial Cities

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  • Hosseini Dehshiri, Seyyed Shahabaddin
  • Firoozabadi, Bahar

Abstract

Industrial cities are metropolitans where economies are based on industrial development. However, in fossil rich countries, environmental challenges are significant. Green hydrogen, as a solution, can be used in energy-intensive processes and chemical feedstocks, contributing to a more sustainable and low-carbon industrial sector. In this regard, four industrial cities in Iran with different climatic conditions were selected, and a novel grid connected wind-electrolyzer-reformer system was investigated to meet the electricity/hydrogen demand. Initially, the windfarm layout, including 20 wind turbines with a capacity of 850 kW, was optimized using genetic algorithm to minimize the wake impacts. The Jensen model was employed in this assessment, and calculations were performed using the Python codes Foxe and Pyomo. Subsequently, a two-objective genetic algorithm (minimizing costs and natural gas consumption) was utilized to optimize the size of the electrolyzer, storage tank, and reformer. The results showed the wind farm generate electricity about 17.8–36.4 GWh/yr. The natural gas consumption varied 189,766–253,568 m3/yr, with the highest(lowest) consumption in Isfahan(Tabriz), accounting for about one-fourth of the natural gas consumed in the reforming process. The served hydrogen cost (mixed of grey and green hydrogen) in Tabriz was lower than grey hydrogen (1.74$/kg) at approximately 0.9 $/kg and is cost-effectiveness.

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  • Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2024. "Wind energy integrated green hydrogen system as sustainable solution to decarbonize Iranian Industrial Cities," Energy, Elsevier, vol. 306(C).
    • Handle: RePEc:eee:energy:v:306:y:2024:i:c:s0360544224022242
    DOI: 10.1016/j.energy.2024.132450
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    References listed on IDEAS

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    1. Kaldellis, John K. & Triantafyllou, Panagiotis & Stinis, Panagiotis, 2021. "Critical evaluation of Wind Turbines’ analytical wake models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Li, Ximei & Gao, Jianmin & You, Shi & Zheng, Yi & Zhang, Yu & Du, Qian & Xie, Min & Qin, Yukun, 2022. "Optimal design and techno-economic analysis of renewable-based multi-carrier energy systems for industries: A case study of a food factory in China," Energy, Elsevier, vol. 244(PB).
    3. Rad, Mohammad Amin Vaziri & Ghasempour, Roghaye & Rahdan, Parisa & Mousavi, Soroush & Arastounia, Mehrdad, 2020. "Techno-economic analysis of a hybrid power system based on the cost-effective hydrogen production method for rural electrification, a case study in Iran," Energy, Elsevier, vol. 190(C).
    4. Lignarolo, L.E.M. & Ragni, D. & Krishnaswami, C. & Chen, Q. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Experimental analysis of the wake of a horizontal-axis wind-turbine model," Renewable Energy, Elsevier, vol. 70(C), pages 31-46.
    5. Michael L. Bynum & Gabriel A. Hackebeil & William E. Hart & Carl D. Laird & Bethany L. Nicholson & John D. Siirola & Jean-Paul Watson & David L. Woodruff, 2021. "Pyomo — Optimization Modeling in Python," Springer Optimization and Its Applications, Springer, edition 3, number 978-3-030-68928-5, December.
    6. Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "A new application of multi criteria decision making in energy technology in traditional buildings: A case study of Isfahan," Energy, Elsevier, vol. 240(C).
    7. Kabir Bashir Shariff & Sylvain S. Guillou, 2024. "A Generalized Empirical Model for Velocity Deficit and Turbulent Intensity in Tidal Turbine Wake Accounting for the Effect of Rotor-Diameter-to-Depth Ratio," Energies, MDPI, vol. 17(9), pages 1-20, April.
    8. Pivetta, D. & Dall’Armi, C. & Sandrin, P. & Bogar, M. & Taccani, R., 2024. "The role of hydrogen as enabler of industrial port area decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    9. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2024. "Solar to power and hydrogen production, storage and utilization in textile industry: A feasibility analysis," Applied Energy, Elsevier, vol. 362(C).
    10. Nhuchhen, Daya R. & Sit, Song P. & Layzell, David B., 2022. "Decarbonization of cement production in a hydrogen economy," Applied Energy, Elsevier, vol. 317(C).
    11. Archer, Cristina L. & Vasel-Be-Hagh, Ahmadreza & Yan, Chi & Wu, Sicheng & Pan, Yang & Brodie, Joseph F. & Maguire, A. Eoghan, 2018. "Review and evaluation of wake loss models for wind energy applications," Applied Energy, Elsevier, vol. 226(C), pages 1187-1207.
    12. González-Longatt, F. & Wall, P. & Terzija, V., 2012. "Wake effect in wind farm performance: Steady-state and dynamic behavior," Renewable Energy, Elsevier, vol. 39(1), pages 329-338.
    13. Baldi, Francesco & Coraddu, Andrea & Kalikatzarakis, Miltiadis & Jeleňová, Diana & Collu, Maurizio & Race, Julia & Maréchal, François, 2022. "Optimisation-based system designs for deep offshore wind farms including power to gas technologies," Applied Energy, Elsevier, vol. 310(C).
    14. Minaeian, Ali & Sedaghat, Ahmad & Mostafaeipour, Ali & Akbar Alemrajabi, Ali, 2017. "Exploring economy of small communities and households by investing on harnessing wind energy in the province of Sistan-Baluchestan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 835-847.
    15. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
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    1. Esmaeil Alssalehin & Paul Holborn & Pericles Pilidis, 2024. "Preliminary Assessment of a Hydrogen Farm Including Health and Safety and Capacity Needs," Energies, MDPI, vol. 17(24), pages 1-24, December.

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