IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v306y2024ics0360544224022242.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224022242
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132450?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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).
    4. 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).
    5. 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.
    6. Nhuchhen, Daya R. & Sit, Song P. & Layzell, David B., 2022. "Decarbonization of cement production in a hydrogen economy," Applied Energy, Elsevier, vol. 317(C).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2024. "A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    2. Shen, Wen Zhong & Lin, Jian Wei & Jiang, Yu Hang & Feng, Ju & Cheng, Li & Zhu, Wei Jun, 2023. "A novel yaw wake model for wind farm control applications," Renewable Energy, Elsevier, vol. 218(C).
    3. Siyavash Filom & Soheil Radfar & Roozbeh Panahi & Erfan Amini & Mehdi Neshat, 2021. "Exploring Wind Energy Potential as a Driver of Sustainable Development in the Southern Coasts of Iran: The Importance of Wind Speed Statistical Distribution Model," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    4. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2024. "Comprehensive framework on wind energy: A sustainable site selection under uncertainty and reliability, layout optimization and 7E analysis," Applied Energy, Elsevier, vol. 373(C).
    5. Li, Qing'an & Murata, Junsuke & Endo, Masayuki & Maeda, Takao & Kamada, Yasunari, 2016. "Experimental and numerical investigation of the effect of turbulent inflow on a Horizontal Axis Wind Turbine (part II: Wake characteristics)," Energy, Elsevier, vol. 113(C), pages 1304-1315.
    6. 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).
    7. Dhiman, Harsh S. & Deb, Dipankar & Foley, Aoife M., 2020. "Bilateral Gaussian Wake Model Formulation for Wind Farms: A Forecasting based approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    8. Sun, Jili & Chen, Zheng & Yu, Hao & Gao, Shan & Wang, Bin & Ying, You & Sun, Yong & Qian, Peng & Zhang, Dahai & Si, Yulin, 2022. "Quantitative evaluation of yaw-misalignment and aerodynamic wake induced fatigue loads of offshore Wind turbines," Renewable Energy, Elsevier, vol. 199(C), pages 71-86.
    9. Li, Qing’an & Maeda, Takao & Kamada, Yasunari & Mori, Naoya, 2017. "Investigation of wake effects on a Horizontal Axis Wind Turbine in field experiments (Part I: Horizontal axis direction)," Energy, Elsevier, vol. 134(C), pages 482-492.
    10. Razmi, Amir Reza & Soltani, M. & Ardehali, Armin & Gharali, Kobra & Dusseault, M.B. & Nathwani, Jatin, 2021. "Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran," Energy, Elsevier, vol. 221(C).
    11. Rezaei, Mostafa & Naghdi-Khozani, Nafiseh & Jafari, Niloofar, 2020. "Wind energy utilization for hydrogen production in an underdeveloped country: An economic investigation," Renewable Energy, Elsevier, vol. 147(P1), pages 1044-1057.
    12. Cao, Lichao & Ge, Mingwei & Gao, Xiaoxia & Du, Bowen & Li, Baoliang & Huang, Zhi & Liu, Yongqian, 2022. "Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines," Applied Energy, Elsevier, vol. 323(C).
    13. Jäger, Tobias & McKenna, Russell & Fichtner, Wolf, 2015. "Onshore wind energy in Baden-Württemberg: a bottom-up economic assessment of the socio-technical potential," Working Paper Series in Production and Energy 7, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    14. Fazelpour, Farivar & Markarian, Elin & Soltani, Nima, 2017. "Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran," Renewable Energy, Elsevier, vol. 109(C), pages 646-667.
    15. Sarlak, H. & Meneveau, C. & Sørensen, J.N., 2015. "Role of subgrid-scale modeling in large eddy simulation of wind turbine wake interactions," Renewable Energy, Elsevier, vol. 77(C), pages 386-399.
    16. Pollini, Nicolò, 2022. "Topology optimization of wind farm layouts," Renewable Energy, Elsevier, vol. 195(C), pages 1015-1027.
    17. Zhang, Shaohai & Duan, Huanfeng & Lu, Lin & He, Ruiyang & Gao, Xiaoxia & Zhu, Songye, 2024. "Quantification of three-dimensional added turbulence intensity for the horizontal-axis wind turbine considering the wake anisotropy," Energy, Elsevier, vol. 294(C).
    18. Nicolas Tobin & Ali M. Hamed & Leonardo P. Chamorro, 2015. "An Experimental Study on the Effects ofWinglets on the Wake and Performance of a ModelWind Turbine," Energies, MDPI, vol. 8(10), pages 1-18, October.
    19. Shah Rukh Abbas & Syed Ali Abbas Kazmi & Muhammad Naqvi & Adeel Javed & Salman Raza Naqvi & Kafait Ullah & Tauseef-ur-Rehman Khan & Dong Ryeol Shin, 2020. "Impact Analysis of Large-Scale Wind Farms Integration in Weak Transmission Grid from Technical Perspectives," Energies, MDPI, vol. 13(20), pages 1-32, October.
    20. Li, B. & Zhou, D.L. & Wang, Y. & Shuai, Y. & Liu, Q.Z. & Cai, W.H., 2020. "The design of a small lab-scale wind turbine model with high performance similarity to its utility-scale prototype," Renewable Energy, Elsevier, vol. 149(C), pages 435-444.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:306:y:2024:i:c:s0360544224022242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.