DOI QR코드

DOI QR Code

Prioritizing the locations for hydrogen production using a hybrid wind-solar system: A case study

  • Received : 2017.01.10
  • Accepted : 2017.06.25
  • Published : 2017.06.25

Abstract

Energy is a major component of almost all economic, production, and service activities, and rapid population growth, urbanization and industrialization have led to ever growing demand for energy. Limited energy resources and increasingly evident environmental effects of fossil fuel consumption has led to a growing awareness about the importance of further use of renewable energy sources in the countries energy portfolio. Renewable hydrogen production is a convenient method for storage of unstable renewable energy sources such as wind and solar energy for use in other place or time. In this study, suitability of 25 cities located in Iran's western region for renewable hydrogen production are evaluated by multi-criteria decision making techniques including TOPSIS, VIKOR, ELECTRE, SAW, Fuzzy TOPSIS, and also hybrid ranking techniques. The choice of suitable location for the centralized renewable hydrogen production is associated with various technical, economic, social, geographic, and political criteria. This paper describes the criteria affecting the hydrogen production potential in the study region. Determined criteria are weighted with Shannon entropy method, and Angstrom model and wind power model are used to estimate respectively the solar and wind energy production potential in each city and each month. Assuming the use of proton exchange membrane electrolyzer for hydrogen production, the renewable hydrogen production potential of each city is then estimated based on the obtained wind and solar energy generation potentials. The rankings obtained with MCDMs show that Kermanshah is the best option for renewable hydrogen production, and evaluation of renewable hydrogen production capacities show that Gilangharb has the highest capacity among the studied cities.

Keywords

References

  1. Abbasi, T. and Abbasi, S.A. (2011), "Renewable hydrogen: Prospects and challenges", Renew. Sust. Energy Rev., 15(6), 3034-3040. https://doi.org/10.1016/j.rser.2011.02.026
  2. Alavi, O., Mostafaeipour, A. and Qolipour, M. (2016), "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
  3. Alinezhad, A. and Amini, A. (2011), "Sensitivity analysis of TOPSIS technique: The results of change in the weight of one attribute on the final ranking of alternatives", J. Opt. Ind. Eng., 23-28.
  4. Aryanpur, V. and Shafiei, E. (2015), "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions", Energy, 91, 882-893. https://doi.org/10.1016/j.energy.2015.08.107
  5. Cancino-Solorzano, Y., Paredes-Sanchez, J.P., Gutierrez-Trashorras, A.J. and Xiberta-Bernat, J. (2010), "Electricity sector in Mexico: Current status. Contribution of renewable energy sources", Renew. Sust. Energy Rev., 14(1), 454-461. https://doi.org/10.1016/j.rser.2009.07.022
  6. 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
  7. Cavallaro, F. (2010), "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems", Appl. Energy, 87(2), 496-503. https://doi.org/10.1016/j.apenergy.2009.07.009
  8. Chong, P., Hanheng, D. and Warren, A. (2017), "Research on the cutting database system based on machining features and TOPSIS", Robot. Comput. Integr. Manufact., 43, 96-104. https://doi.org/10.1016/j.rcim.2015.10.011
  9. Cordeschi, N., Shojafar, M., Amendola, D. and Baccarelli, E. (2014), "Energy-efficient adaptive networked datacenters for the QoS support of real-time applications", J. Supercomput., 71(2), 448-478. https://doi.org/10.1007/s11227-014-1305-8
  10. Dagdougui, H., Ouammi, A. and Sacile, R. (2011), "A regional decision support system for onsite renewable hydrogen production from solar and wind energy sources", J. Hydrog. Energy, 36(22), 143324-143334.
  11. Dalton, G., Lockington, D. and Baldock, T. (2008), "Feasibility analysis of stand-alone renewable energy supply options for a large hotel", Renew. Energy, 33(7), 1475-1490. https://doi.org/10.1016/j.renene.2007.09.014
  12. Deokattey, S., Bhanumurthy, K., Vijayan, P.K. and Dulera, I.V. (2013), "Hydrogen production using high temperature reactors: An overview", Adv. Energy Res., 1(1), 13-33. https://doi.org/10.12989/eri.2013.1.1.013
  13. Dhillon, S.S. and Tan, K.T. (2016), "Optimization of biodiesel production via methyl acetate reaction from cerbera odollam", Adv. Energy Res., 4(4), 325-337. https://doi.org/10.12989/eri.2016.4.4.325
  14. Dumas, A., Anzillotti, S., Madonia, M. and Trancossi, M. (2011), "Effects of altitude on photovoltaic production of hydrogen", Proceedings of the International Conference on Energy Sustainability American Society of Mechanical Engineers, Washington, U.S.A., August.
  15. Ennetta, R., Yahya, A. and Said, R. (2016), "Feasibility of a methane reduced chemical kinetics mechanism in laminar flame velocity of hydrogen enriched methane flames simulations", Adv. Energy Res., 4(3), 213-221. https://doi.org/10.12989/eri.2016.4.3.213
  16. Erdinc, O. and Uzunoglu, M. (2012), "Optimum design of hybrid renewable energy systems: Overview of different approaches", Renew. Sust. Energy Rev., 16(3), 1412-1425. https://doi.org/10.1016/j.rser.2011.11.011
  17. Esteves, N.B., Sigal, A., Leiva, E.P.M., Rodriguez, C.R., Cavalcante, F.S.A. and De Lima, L.C. (2015), "Wind and solar hydrogen for the potential production of ammonia in the state of Ceará-Brazil", J. Hydrog. Energy, 40(32), 9917-9923. https://doi.org/10.1016/j.ijhydene.2015.06.044
  18. Fetanat, A. and Khorasaninejad, E. (2015), "A novel hybrid MCDM approach for offshore wind farm site selection: A case study of Iran", Ocean Coast. Manage., 109, 17-28. https://doi.org/10.1016/j.ocecoaman.2015.02.005
  19. Green, M.A., Emery, K., Hishikawa, Y., Warta, W. and Dunlop, E.D. (2015), "Solar cell efficiency tables (Version 45)", Prog. Photovoltaics. Res. Appl., 23(1), 1-9. https://doi.org/10.1002/pip.2573
  20. Guo, S. and Zhao, H. (2015), "Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective", Appl. Energy, 158, 390-402. https://doi.org/10.1016/j.apenergy.2015.08.082
  21. Gupta, R.B. (2008), Hydrogen Fuel: Production, Transport, and Storage, Crc Press, Florida, U.S.A.
  22. 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(21), 8514-8524. https://doi.org/10.1016/j.ijhydene.2016.02.051
  23. Ismail, K.A.R., Zanardi, M.A. and Lino, F.A.M. (2016) "Modeling and validation of a parabolic solar collector with a heat pipe absorber", Adv. Energy Res., 4(4), 299-323. https://doi.org/10.12989/eri.2016.4.4.299
  24. Jahanshahloo, G.R., Lotfi, F. and Izadikhah, M. (2006), "An algorithmic method to extend TOPSIS for decision-making problems with interval data", Appl. Math. Comput., 175(2), 1375-1384. https://doi.org/10.1016/j.amc.2005.08.048
  25. Kabak, M. and Dagdeviren, M. (2014), "Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology", Energy Convers. Manage., 79, 25-33. https://doi.org/10.1016/j.enconman.2013.11.036
  26. Kannan, D., Jabbour, A.B.L. and Jabbour, C.J.C. (2014), "Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company", Eur. J. Oper. Res., 233(2), 432-447. https://doi.org/10.1016/j.ejor.2013.07.023
  27. Kar, S.K. and Gopakumar, K. (2015), "Progress of renewable energy in India", Adv. Energy Res., 3(2), 97-115. https://doi.org/10.12989/eri.2015.3.2.097
  28. Komiyama, R., Otsuki, T. and Fujii, Y. (2015), "Energy modeling and analysis for optimal grid integration of large-scale variable renewables using hydrogen storage in Japan", Energy, 81, 537-555. https://doi.org/10.1016/j.energy.2014.12.069
  29. Kose, A. and Oncel, S.S. (2014), "Biohydrogen production from engineered microalgae Chlamydomonas reinhardtii", Adv. Energy Res., 2(1), 1-9. https://doi.org/10.12989/eri.2014.2.1.001
  30. Marquez, F., Masa, A., Cotto, M., Garcia, A., Duconge, J., Campo, T. Elizalde, E. and Morant, C. (2014), "Photocatalytic hydrogen production by water splitting using novel catalysts under UV-vis light irradiation", Adv. Energy Res., 2(1), 33-45. https://doi.org/10.12989/eri.2014.2.1.033
  31. Milosz, K. and Krzysztof, C. (2016), "Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE", Inform. Sci., 352(20), 167-187.
  32. Mohammadi, K., Alavi, O., Mostafaeipour, A., Goudarzi, N. and Jalilvand, M. (2016), "Assessing different parameters estimation methods of Weibull distribution to compute wind power density", Energy Convers. Manage., 108, 322-335. https://doi.org/10.1016/j.enconman.2015.11.015
  33. Mostafaeipour, A. and Abarghooei, H. (2008), "Harnessing wind energy at Manjil area located in north of Iran", Renew. Sust. Energy Rev., 12(6), 1758-1766. https://doi.org/10.1016/j.rser.2007.01.029
  34. Mostafaeipour, A. and Abesi, S. (2010), "Wind turbine productivity and development in Iran", Proceedings of the International Conference on Biosciences (BIOSCIENCESWORLD), Cancun, Mexico, March.
  35. Mostafaeipour, A., Khayyami, M., Sedaghat, A., Mohammadi, K., Shamshirband, S., Sehati, M.A. and Gorakifard, E. (2016), "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
  36. Mukhopadhyay, S. and Ghosh, S. (2016) "Solar tower combined cycle plant with thermal storage: energy and exergy analyses", Adv. Energy Res., 4(1), 29-45. https://doi.org/10.12989/eri.2016.4.1.029
  37. Muneer, T., Asif, M. and Kubie, J. (2003), "Generation and transmission prospects for solar electricity: UK and global markets", Energy Convers. Manage., 44(1), 35-52. https://doi.org/10.1016/S0196-8904(02)00043-2
  38. Najafi, G., Ghobadian, B., Mamat, R., Yusaf, T. and Azmi, W.H. (2015), "Solar energy in Iran: Current state and outlook", Renew. Sust. Energy Rev., 49, 931-942. https://doi.org/10.1016/j.rser.2015.04.056
  39. Opricovic, S. and Tzeng, G.H. (2004), "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS", Eur. J. Oper. Res., 156(2), 445-455. https://doi.org/10.1016/S0377-2217(03)00020-1
  40. Peng, W., Zhouquan, Z. and Yonghu, W. (2016), "A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design", Inform. Sci., 347, 27-45.
  41. Phelipe, M.R., Alexandre, P.B., Glauco, B.S. and Helder, G.C. (2016), "Analysis of the operational performance of Brazilian airport terminals: A multicriteria approach with De Borda-AHP integration", J. Air Transport Manage., 51, 19-26. https://doi.org/10.1016/j.jairtraman.2015.11.003
  42. Pooranian, Z., Nikmehr, N., Najafi-Ravadanegh, S., Mahdin, H. and Abawajy, J. (2016), "Economical and environmental operation of smart networked microgrids under uncertainties using NSGA-II", Proceedings of the 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia, September.
  43. Qolipour, M., Mostafaeipour, A., Shamshirband, S., Alavi, O. and Goudarzi, H. (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
  44. Sen, R. and Bhattacharyya, S.C. (2014), "Off-grid electricity generation with renewable energy technologies in India: an application of HOMER", Renew. Energy, 62, 388-398. https://doi.org/10.1016/j.renene.2013.07.028
  45. Sengul, U., Eren, M., Shiraz, S.E., Gezder, V. and Sengul, A.B. (2015), "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey", Renew. Energy, 75, 617-625. https://doi.org/10.1016/j.renene.2014.10.045
  46. Shamshirband, S., Mohammadi, K., Tong, C.W., Petkovic, D., Porcu, E., Mostafaeipour, A. and Sedaghat, A. (2015a), "Application of extreme learning machine for estimation of wind speed distribution", Clim. Dynam., 46(5), 1893-1907.
  47. Shamshirband, S., Mohammadi, K., Yee, L., Petkovic, D. and Mostafaeipour, A. (2015b), "A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation", Renew. Sust. Energy Rev., 52, 1031-1042. https://doi.org/10.1016/j.rser.2015.07.173
  48. Sigal, A., Leiva, E.P.M. and Rodriguez, C.R. (2014), "Assessment of the potential for hydrogen production from renewable resources in Argentina", J. Hydrog. Energy, 39(16), 8204-8214. https://doi.org/10.1016/j.ijhydene.2014.03.157
  49. Yunna, W., Kaifeng, C., Bingxin, Z., Hu, X. and Yisheng, Y. (2016), "Supplier selection in nuclear power industry with extended VIKOR method under linguistic information", Appl. Soft Comput., 48, 444-457. https://doi.org/10.1016/j.asoc.2016.07.023
  50. .
  51. .
  52. .
  53. .
  54. .
  55. .
  56. .
  57. .
  58. .
  59. .

Cited by

  1. A Multi-Criteria Decision-Making Approach to Determine the Optimal Hybrid Energy System in Coastal Off-Grid Areas: A Case Study of Bangladesh vol.4, pp.3, 2017, https://doi.org/10.1007/s41660-020-00116-9