DOI QR코드

DOI QR Code

Optimal location planning to install wind turbines for hydrogen production: A case study

  • Mostafaeipour, Ali (Department of Industrial Engineering, Yazd University) ;
  • Arabi, Fateme (Department of Industrial Engineering, Islamic Azad University) ;
  • Qolipour, Mojtaba (Department of Industrial Engineering, Yazd University) ;
  • Shamshirband, Shahaboldin (Department for Management of Science and Technology Development, Ton Duc Thang University) ;
  • Alavi, Omid (Department of Electrical Engineering, K.N. Toosi University of Technology)
  • Received : 2017.06.30
  • Accepted : 2017.11.30
  • Published : 2017.06.25

Abstract

This study aims to evaluate and prioritize ten different sites in Iran's Khorasan provinces for the construction of wind farm. After studying the geography of the sites, nine criteria; including wind power, topography, wind direction, population, distance from power grid, level of air pollution, land cost per square meter, rate of natural disasters, and distance from road network-are selected for the analysis. Prioritization is performed using data envelopment analysis (DEA). The developed DEA model is validated through value engineering based on the results of brainstorming sessions. The results show that the order of priority of ten assessed candidate sites for installing wind turbines is Khaf, Afriz, Ghadamgah, Fadashk, Sarakhs, Bojnoord, Nehbandan, Esfarayen, Davarzan, and Roudab. Additionally, the outcomes extracted from the value engineering method identify the city of Khaf as the best candidate site. Six different wind turbines (7.5 to 5,000 kW) are considered in this location to generate electricity. Regarding an approach to produce and store hydrogen from wind farm installed in the location, the AREVA M5000 wind turbine can produce approximately $337ton-H_2$ over a year. It is an enormous amount that can be used in transportation and other industries.

Keywords

References

  1. Aiche-Hamane, L., Belhamel, M., Benyoucef, B. and Hamane, M. (2009), "Feasibility study of hydrogen production from wind power in the region of Ghardaia", J. Hydrog. Energy, 34(11), 4947-4952. https://doi.org/10.1016/j.ijhydene.2008.12.037
  2. Alavi, O., Mohammadi, K. and Mostafaeipour, A. (2016b), "Evaluating the suitability of wind speed probability distribution models: A case of study of east and southeast parts of Iran", Energy Convers. Manage., 119, 101-108. https://doi.org/10.1016/j.enconman.2016.04.039
  3. Alavi, O., Mostafaeipour, A. and Qolipour, M. (2016a), "Analysis of hydrogen production from wind energy in the southeast of Iran", J. Hydrog. Energy, 41(34), 15158-15171. https://doi.org/10.1016/j.ijhydene.2016.06.092
  4. Alavi, O., Sedaghat, A. and Mostafaeipour, A. (2016c), "Sensitivity analysis of different wind speed distribution models with actual and truncated wind data: a case study for Kerman, Iran", Energy Convers. Manage., 120, 51-61. https://doi.org/10.1016/j.enconman.2016.04.078
  5. Arabi, F. (2015), "Implementing data envelopment analysis (DEA) methodology to prioritize wind turbine locations for Khorasan, Iran", M.Sc. Dissertation, Naragh Azad University, Naragh, Kashan, Iran.
  6. Aras, H., Erdogmus, S. and Koc, E. (2014), "Multi-criteria selection for a wind observation station location using analytic hierarchy process", Renew. Energy, 29(8), 1383-1392. https://doi.org/10.1016/j.renene.2003.12.020
  7. Aydin, N.Y., Kentel, E. and Duzgu, S. (2010), "GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey", Renew. Sust. Energy Rev., 14(1), 364-373. https://doi.org/10.1016/j.rser.2009.07.023
  8. Bahrami, M. and Abbaszadeh, P. (2013), "An overview of renewable energies in Iran", Renew. Sust. Energy Rev., 24, 198-208. https://doi.org/10.1016/j.rser.2013.03.043
  9. Barbir, F. (2005), "PEM electrolysis for production of hydrogen from renewable energy sources", Sol. Energy, 78(5), 661-669. https://doi.org/10.1016/j.solener.2004.09.003
  10. Brunner, A., Marcks, S., Bajpai, M., Prasad, K. and Advani, G. (2011), "Design and characterization of an electronically controlled variable flow rate ejector for fuel cell applications", Energy, 37(44), 57-66.
  11. Burton, T., Jenkins, N., Sharpe, D. and Bossanyi, E. (2011), Wind Energy Handbook, John Wiley and Sons.
  12. Carnevale, E.A., Lombardi, L. and Zanchi, L. (2016), "Wind and solar energy: a comparison of costs and environmental impacts", Adv. Energy Res., 4(2), 121-146. https://doi.org/10.12989/eri.2016.4.2.121
  13. Castaneda, M., Cano, A., Jurado, F., Sanchez, H. and Fernandez, L.M. (2013), "Sizing optimization, dynamic modeling and energy management strategies of a stand-alone PV/hydrogen/battery-based hybrid system", J. Hydrog. Energy, 38(10), 3830-3845. https://doi.org/10.1016/j.ijhydene.2013.01.080
  14. Chang, T.J., Wu, Y.T., Hsu, H.Y., Chu, C.R. and Liao, C.M. (2003), "Assessment of wind characteristics and wind turbine characteristics in Taiwan", Renew. Energy, 28(6), 851-871. https://doi.org/10.1016/S0960-1481(02)00184-2
  15. Charnes, A., Cooper, W. and Rhodes, E. (1978), "Measuring the efficiency of decision making unit", Eur. J. Oper. Res., 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  16. Charnes, R.D., Banker, W.W. and Cooper, A. (1984), "Some models for estimating technical and scale inefficiencies in data envelopment analysis", Manage. Sci., 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  17. Chavez-Ramirez, A.U., Vallejo-Becerra, V., Cruz, J.C., Ornelas, R., Munoz-Guerrero, R. and Arriaga, L.G. (2013), "A hybrid power plant (solar-wind-hydrogen) model based in artificial intelligence for a remotehousing application in Mexico", J. Hydrog. Energy, 38(6), 2641-2655. https://doi.org/10.1016/j.ijhydene.2012.11.140
  18. Chowdhury, S., Zhang, J., Messac, A. and Castillo, L. (2013), "Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions", Renew. Energy, 52, 273-282. https://doi.org/10.1016/j.renene.2012.10.017
  19. Farrell, M.J. (1957), "The measurement of productive efficiency", J. Royal Stat. Soc. Ser., 120 (3), 253-281. https://doi.org/10.2307/2343100
  20. Gandomkar, A. (2010), "Wind energy potential estimation in Iran", Geograph. Environ. Plan., 20(4), 85-100.
  21. Ghasemi-Far, M. (2013), "Prioritizing cities of Yazd province for applicants of solar energy", M.Sc. Dissertation, Yazd University, Yazd, Iran.
  22. Gupta-Ram, B. (2009), Hydrogen Fuel: Production, Transport, and Storage, Taylor & Francis Group, Boca Raton.
  23. Huang, P.H., Kuo, J.K. and Wu, Z.D. (2016), "Applying small wind turbines and a photovoltaic system to facilitate electrolysis hydrogen production", J. Hydrog. Energy, 41(20), 8514-8524. https://doi.org/10.1016/j.ijhydene.2016.02.051
  24. Kao, C. and Liu, S.T. (2000), "Fuzzy efficiency measures in data envelopment analysis", Fuzzy Set Syst., 113(3), 427-437. https://doi.org/10.1016/S0165-0114(98)00137-7
  25. Minaeian, A., Sedaghat, A., Mostafaeipour, A. and Alemrajabi, A.A. (2017), "Exploring economy of small communities and households by investing on harnessing wind energy in the province of Sistan-Baluchestan in Iran", Renew. Sust. Energy Rev., 74, 835-847. https://doi.org/10.1016/j.rser.2017.02.065
  26. Mirjalili, H., Mirdehghan, A. and Dehghan Khavari, S. (2010), "Determine the efficiency of Yazd province Industries using data envelopment analysis", J. Econ. Policies, 54.
  27. Mohammadi, K., Mostafaeipour, A., Dinpashoh, Y. and Pouya, N. (2014), "Electricity generation and energy cost estimation of large-scale wind turbines in Jarandagh, Iran", J. Energy, 1-8.
  28. Mostafaeipour, A. (2011), Productivity and Development Issues of Global Wind Turbine Industry, in Wind and Turbines, InTech.
  29. Mostafaeipour, A. and Abesi, S. (2010), "Wind turbine productivity and development in Iran", Proceedings of the International Conference on Biosciences (BIOSCIENCESWORLD), Cancun, Mexico, March.
  30. Mostafaeipour, A., Bardel, B., Mohammadi, K., Sedaghat, A. and Dinpashoh, Y. (2014), "Economic evaluation for cooling and ventilation of medicine storage warehouses utilizing wind catchers", Renew. Sust. Energy Rev., 38, 12-19. https://doi.org/10.1016/j.rser.2014.05.087
  31. Mostafaeipour, A., Khayyami, M., Sedaghat, A., Mohammadi, K., Shamshirband, S.H., Sehati, M.A. and Gorakifard, E. (2016a), "Evaluating the wind energy potential for hydrogen production: A case study", J. Hydrog. Energy, 41(15), 6200-6210. https://doi.org/10.1016/j.ijhydene.2016.03.038
  32. Mostafaeipour, A., Qolipour, M. and Mohammadi, K. (2016b), "Evaluation of installing photovoltaic plants using a hybrid approach for Khuzestan province, Iran", Renew. Sust. Energy Rev., 60, 60-74. https://doi.org/10.1016/j.rser.2016.01.105
  33. Movahedi, M.M. and Hosseini, S.M. (2010), "Determination and prioritizing the efficiency different areas of Iran's rail-way using DEA approach", Math. Appl. J., 7(1), 49-64.
  34. Nik-Zinat, H. (2008), "Over review on DEAs and algorithm development foe sensitivity analysis and stability in units", M.Sc. Dissertation, Sharif University, Tehran, Iran.
  35. Ozden, E. and Tari, I. (2016), "Energy-exergy and economic analyses of a hybrid solar-hydrogen renewable energy system in Ankara, Turkey", Appl. Therm. Eng., 99, 169-178. https://doi.org/10.1016/j.applthermaleng.2016.01.042
  36. Petrakopoulou, F., Robinson, A. and Loizidou, M. (2016), "Exergetic analysis and dynamic simulation of a solar-wind power plant with electricity storage and hydrogen generation", J. Clean. Prod., 113, 450-458. https://doi.org/10.1016/j.jclepro.2015.11.074
  37. Qolipour, M., Mostafaeipour, A., Shamshirband, S.H., Alavi, O., Goudarzi, H. and Petkovic, D. (2016), "Evaluation of wind power generation potential using a three-hybrid approach for households in Ardebil Province, Iran", Energy Convers. Manage., 118, 295-305. https://doi.org/10.1016/j.enconman.2016.04.007
  38. Ramazankhani, M.E., Mostafaeipour, A., Hosseininasab, H. and Fakhrzad, M.B. (2016), "Feasibility of geothermal power assisted hydrogen production in Iran", J. Hydrog. Energy, 41(41), 18351-18369. https://doi.org/10.1016/j.ijhydene.2016.08.150
  39. Rezaei-Shouroki, M., Mostafaeipour, A. and Qolipour, M. (2017), "Prioritizing of wind farm locations for hydrogen production: A case study", J. Hydrog. Energy, 42(15), 9500-9510. https://doi.org/10.1016/j.ijhydene.2017.02.072
  40. Rodriguez, C.R., Riso, M., Yob, G.Z., Ottogalli, R., Santa Cruz, R., Aisa, S., Jeandrevin, G. and Leiva, E.P.M. (2010), "Analysis of the potential for hydrogen production in the province of Cordoba, Argentina, from wind resources", J. Hydrog. Energy, 35(11), 5952-5956. https://doi.org/10.1016/j.ijhydene.2009.12.101
  41. Sadeghi, S. (2012), "Prioritizing cities of Eastern-Azerbaijan for installation wind turbines", M.Sc. Dissertation, Yazd University, Yazd, Iran.
  42. Saeidi, S., Jouybanpour, P., Mirvakili, A., Iranshahi, D. and Klemes, J.J. (2016), "A comparative study between modified data envelopment analysis and response surface methodology for optimisation of heterogeneous biodiesel production from waste cooking palm oil", J. Clean. Prod., 136(B), 23-30. https://doi.org/10.1016/j.jclepro.2016.06.192
  43. Sana. (2010), Data Collection Guide for Non-Government Renewable Power Plant Construction, Renewable Energy Organization of Iran, Tehran, Iran.
  44. Sarrias-Mena, R., Fernandez-Ramirez, L.M., Garcia-Vazquez, C.A. and Jurado, F. (2015), "Electrolyzer models for hydrogen production from wind energy systems", J. Hydrog. Energy, 40(7), 2927-2938. https://doi.org/10.1016/j.ijhydene.2014.12.125
  45. Shamshirband, S., Mohammadi, K., Tong, C.W., Petcock, D., Porcu, E., Mostafaeipour, A., Ch, S. and Sedaghat, A. (2016), "Application of extreme learning machine for estimation of wind speed distribution", Clim. Dynam. 46 (5-6), 1893-1907. https://doi.org/10.1007/s00382-015-2682-2
  46. Shamshirband, S., Mohammadi, K., Yee, L., Petkovic, D. and Mostafaeipour, A. (2015), "A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation", Renew. Sust. Energy Rev., 51, 1031-1042.
  47. Tegou, L.I., Heracles, H. and Dias, A. (2010), "Environmental management framework for wind farm siting: Methodology and case study", J. Environ. Manage., 91(11), 2134-2147. https://doi.org/10.1016/j.jenvman.2010.05.010
  48. Valdes, R., Lucio, J.H. and Rodriguez, L.R. (2013), "Operational simulation of wind power plants for electrolytic hydrogen production connected to a distributed electricity generation grid", Renew. Sust. Energy Rev., 53, 249-257. https://doi.org/10.1016/j.renene.2012.11.025
  49. Yang, Z., Zhang, G. and Lin, B. (2015), "Performance evaluation and optimum analysis of a photovoltaicdriven electrolyzer system for hydrogen production", J. Hydrog. Energy, 40(8), 3170-3179. https://doi.org/10.1016/j.ijhydene.2015.01.028
  50. Zini, G. and Rosa, A.D. (2014), "Hydrogen systems for large-scale photovoltaic plants: Simulation with forecast and real production data", J. Hydrog. Energy, 39(1), 107-118. https://doi.org/10.1016/j.ijhydene.2013.10.076
  51. .

Cited by

  1. An application of LAPO: Optimal design of a stand alone hybrid system consisting of WTG/PV/diesel generator/battery vol.7, pp.1, 2017, https://doi.org/10.12989/eri.2020.7.1.067