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Evaluating the materials used for hydrogen production based on photoelectrochemical technology

Department of Renewable Energies and Environmental, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran, Islamic Republic of

Received: 12 Feb 2019; Revised: 18 Apr 2019; Accepted: 25 Apr 2019; Available online: 15 Jul 2019; Published: 13 Jun 2019.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2019 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

Hydrogen as a CO2-free fuel has been considered as a serious alternative for problematic fossil fuels in recent decades Photoelectrochemical (PEC) water splitting is a developing solar-based technology for hydrogen production. In this study, some possible options for upgrading this technology from R&D stage to prototype stage through a material selection approach is investigated. For these purpose, TOPSIS algorithm through a multi criteria decision making (MCDM) approach was utilized for evaluating different (PEC)-based hydrogen production materials. TiO2, WO3 and BiVO4 as three semiconductors known for their PEC application, were selected as alternatives in this decision-making study. After defining a set of criteria, which were assessed based on similar studies and experts' visions, a group of ten PEC-experts including university professors and PhD students were asked to fill the questionnaires. The eight criteria considered in this study are include "Study Cost", "Synthesis Simplicity", "Facility & Availability", "Deposition capability on TCO", "Modifiability", "Commercialization in H2 production", "Physical and Chemical Durability" and "Eco-friendly Fabrication". The final TOPSIS results indicates that TiO2 is selected as the best semiconductor for further investments in order to upgrade the PEC-based hydrogen production technology from R&D level to prototype stage. ©2019. CBIORE-IJRED. All rights reserved

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Keywords: MCDM; TOPSIS; Hydrogen generation; PEC; Semiconductor
Funding: University of Tehran

Article Metrics:

  1. Abe, R. (2010). Recent progress on photocatalytic and photoelectrochemical water splitting under visible light irradiation. Journal of Photochemistry and Photobiology C: Photochemistry Reviews, 11(4), 179-209. https://doi.org/10.1016/j.jphotochemrev.2011.02.003
  2. Acar, C., & Dincer, I. (2016). A review and evaluation of photoelectrode coating materials and methods for photoelectrochemical hydrogen production. International Journal of Hydrogen Energy, 41(19), 7950–7959. https://doi.org/10.1016/j.ijhydene.2015.11.160
  3. Ahmadi, M. H., Alhuyi Nazari, M., Sadeghzadeh, M., Pourfayaz, F., Ghazvini, M., Ming, T., ... & Sharifpur, M. (2018a). Thermodynamic and economic analysis of performance evaluation of all the thermal power plants: A review. Energy Science & Engineering. https://doi.org/10.1002/ese3.223
  4. Ahmadi, M. H., Ghazvini, M., Sadeghzadeh, M., Alhuyi Nazari, M., Kumar, R., Naeimi, A., & Ming, T. (2018b). Solar power technology for electricity generation: A critical review. Energy Science & Engineering, 6(5), 340-361. https://doi.org/10.1002/ese3.239
  5. Ahmadi, M. H., Ramezanizadeh, M., Nazari, M. A., Lorenzini, G., Kumar, R., & Jilte, R. (2018c). Applications of nanofluids in geothermal: A review. Mathematical Modelling of Engineering Problems. 5(4), 281-285. https://doi.org/10.18280/mmep.050402
  6. Ahmadi, M. H., Banihashem, S. A., Ghazvini, M., & Sadeghzadeh, M. (2018d). Thermo-economic and exergy assessment and optimization of performance of a hydrogen production system by using geothermal energy. Energy & Environment, 29(8), 1373-1392. https://doi.org/10.1177/0958305X18779573
  7. Ali, H., Ismail, N., Amin, M. S., & Mekewi, M. (2018). Decoration of vertically aligned TiO 2 nanotube arrays with WO 3 particles for hydrogen fuel production. Frontiers in Energy, 1-10. https://doi.org/10.1007/s11708-018-0547-1
  8. Amekan, Y., Wangi, P., Ayu, D. S., Cahyanto, M. N., & Widada, J. (2018). Effect of Different Inoculum Combination on Biohydrogen Production from Melon Fruit Waste. International Journal of Renewable Energy Development, 7(2). http:// doi.org/10.14710/ijred.7.2.101-109
  9. Bp, G. (2018). Bp Statistical Review of World Energy. 2018. https://www. bp. com/en/global/corporate/energy-economics/statistical-review-of-world-energy. html (accessed on 4 September 2018). Sustainability, 10(3195), 17
  10. Chang, P. L., & Chen, Y. C. (1994). A fuzzy multi-criteria decision making method for technology transfer strategy selection in biotechnology. Fuzzy Sets and Systems, 63(2), 131-139. https://doi.org/10.1016/0165-0114(94)90344-1
  11. Chen, X., Xiong, J., Shi, J., Xia, S., Gui, S., & Shangguan, W. (2018). Roles of various Ni species on TiO 2 in enhancing photocatalytic H 2 evolution. Frontiers in Energy, 1-7. http:// doi.org/10.1007/s11708-018-0585-8
  12. Chen, X., & Shangguan, W. (2013). Hydrogen production from water splitting on CdS-based photocatalysts using solar light. Frontiers in Energy, 7(1), 111-118. http:// doi.org/10.1007/s11708-012-0228-4
  13. Daghrir, R., Drogui, P., & Robert, D. (2013). Modified TiO2 for environmental photocatalytic applications: a review. Industrial & Engineering Chemistry Research, 52(10), 3581-3599. http:// doi.org/10.1021/ie303468t
  14. Dehghani Madvar, M., Alhuyi Nazari, M., Tabe Arjmand, J., Aslani, A., Ghasempour, R., & Ahmadi, M. H. (2018). Analysis of stakeholder roles and the challenges of solar energy utilization in Iran. International Journal of Low-Carbon Technologies, 13(4), 438-451. https://doi.org/10.1093/ijlct/cty044
  15. Eilat, H., Golany, B., & Shtub, A. (2008). R&D project evaluation: An integrated DEA and balanced scorecard approach. Omega, 36(5), 895-912. https://doi.org/10.1016/j.omega.2006.05.002
  16. El Amine, M., Pailhes, J., & Perry, N. (2014). Comparison of different Multiple-criteria decision analysis methods in the context of conceptual design: application to the development of a solar collector structure. Proceedings of Joint Conference on Mechanical, Design Engineering, Advanced Manufacturing, Toulouse, France„ Jun 2014, France. pp.1-6. ffhal-00987264
  17. Ghasempour, R., Nazari, M. A., Ebrahimi, M., Ahmadi, M. H., & Hadiyanto, H. (2017). MCDM Approach for Selecting Solar Plants Site and Technology: A Review. International Journal of Renewable Energy Development, 8(1), 15-25
  18. Ghoujdi, I. E., Hadiannasab, H., Bidi, M., Naeimi, A., Ahmadi, M. H., Nazari, M. A., & Ming, T. (2018). Multiobjective optimization design of the solar field and reverse osmosis system with preheating feed water using Genetic algorithm. Energy Science & Engineering, 6(6), 624-642. https://doi.org/10.1002/ese3.237
  19. Haghighi Bardineh, Y., Mohamadian, F., Ahmadi, M. H., & Akbarianrad, N. (2018). Medical and dental applications of renewable energy systems. International Journal of Low-Carbon Technologies, 13(4), 320-326. https://doi.org/10.1093/ijlct/cty040
  20. Handayani, N. A., & Ariyanti, D. (2012). Potency of solar energy applications in Indonesia. International Journal of Renewable Energy Development, 1(2), 33-38. https://doi.org/10.14710/ijred.1.2.33-38
  21. IRENA (2018), Hydrogen from renewable power: Technology outlook for the energy transition, International Renewable Energy Agency, Abu Dhabi
  22. Junior, F. R. L., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209
  23. Kaloi, G. S., Wang, J., Baloch, M. H., & Tahir, S. (2017). Wind Energy Potential at Badin and Pasni Costal Line of Pakistan. International Journal of Renewable Energy Development, 6(2). https://doi.org/10.14710/ijred.6.2.103-110
  24. Kanoglu, M., Yilmaz, C., & Abusoglu, A. (2016). Geothermal Energy Use in Hydrogen Production. Journal of Thermal Engineering, 2(2), 699-708. http://doi.org/10.18186/jte.58324
  25. Khouja, M. (1995). The use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 28(1), 123-132. https://doi.org/10.1016/0360-8352(94)00032-I
  26. Liu, S., Yu, J., & Jaroniec, M. (2011). Anatase TiO2 with dominant high-energy {001} facets: synthesis, properties, and applications. Chemistry of Materials, 23(18), 4085-4093. https://doi.org/10.1021/cm200597m
  27. Madhusudan, P., Kumar, M. V., Ishigaki, T., Toda, K., Uematsu, K., & Sato, M. (2013). Hydrothermal synthesis of meso/macroporous BiVO 4 hierarchical particles and their photocatalytic degradation properties under visible light irradiation. Environmental Science and Pollution Research, 20(9), 6638-6645. https://doi.org/10.1007/s11356-013-1694-x
  28. Menges, R., & Pfaffenberger, W. (2015). Promotion of Renewable Energy Sources in the European Union. International Journal of Renewable Energy Development, 4(3). http://doi.org/10.14710/ijred.4.3.171-180
  29. Mills, A., & Le Hunte, S. (1997). An overview of semiconductor photocatalysis. Journal of photochemistry and photobiology A: Chemistry, 108(1), 1-35. https://doi.org/10.1016/S1010-6030(97)00118-4
  30. Moniz, S. J., Shevlin, S. A., Martin, D. J., Guo, Z. X., & Tang, J. (2015). Visible-light driven heterojunction photocatalysts for water splitting–a critical review. Energy & Environmental Science, 8(3), 731-759. https://doi.org/10.1039/C4EE03271C
  31. Muppala, S., Manickam, B., & Dinkelacker, F. (2015). A Comparative Study of Different Reaction Models for Turbulent Methane/Hydrogen/Air Combustion. Journal of Thermal Engineering, 1(5), 367-380. http:// doi.org/10.18186/jte.60394
  32. Nazari, M. A., Aslani, A., & Ghasempour, R. (2018). Analysis of solar farm site selection based on TOPSIS approach. International Journal of Social Ecology and Sustainable Development (IJSESD), 9(1), 12-25. http:// doi.org/10.4018/IJSESD.2018010102
  33. Nazemzadegan, M. R., Kasaeian, A., Toghyani, S., Ahmadi, M. H., Saidur, R., & Ming, T. (2017). Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound method and MOPSO algorithm. Frontiers in Energy, 1-17. https://doi.org/10.1007/s11708-018-0548-0
  34. Ni, M., Leung, M. K., Leung, D. Y., & Sumathy, K. (2007). A review and recent developments in photocatalytic water-splitting using TiO2 for hydrogen production. Renewable and Sustainable Energy Reviews, 11(3), 401-425. https://doi.org/10.1016/j.rser.2005.01.009
  35. Poh, K. L., Ang, B. W., & Bai, F. (2001). A comparative analysis of R&D project evaluation methods. R&D Management, 31(1), 63-75. https://doi.org/10.1111/1467-9310.00197
  36. Ramezanizadeh, M., Nazari, M. A., Ahmadi, M. H., & Açıkkalp, E. (2018a). Application of nanofluids in thermosyphons: A review. Journal of Molecular Liquids. https://doi.org/10.1016/j.molliq.2018.09.101
  37. Ramezanizadeh, M., Nazari, M. A., Ahmadi, M. H., Lorenzini, G., Kumar, R., & Jilte, R. (2018b). A review on the solar applications of thermosyphons. Mathematical Modelling of Engineering Problems. 5(4), 275-280. https://doi.org/10.18280/mmep.050401
  38. Talukdar, K. (2017). Modeling and Analysis of Solar Photovoltaic Assisted Electrolyzer-Polymer Electrolyte Membrane Fuel Cell For Running a Hospital in Remote Area in Kolkata, India. International Journal of Renewable Energy Development, 6(2), 181. http:// doi.org/10.14710/ijred.6.2.181-191
  39. Tscheikner-Gratl, F., Egger, P., Rauch, W., & Kleidorfer, M. (2017). Comparison of multi-criteria decision support methods for integrated rehabilitation prioritization. Water, 9(2), 68. https://doi.org/10.3390/w9020068
  40. U.S. Department of Energy [DOE]. (2018). DOE 2020 Targets by Application, EERE, FCTO, Fuel Cells Program Area, 2017 Annual Merit Review and Peer Evaluation Meeting. https://www.hydrogen.energy.gov/annual_review17_report.html. (June 5-9 2017), 1–5
  41. U.S. Department of Energy [DOE]. (2015). DOE Fuel Cell Technologies Office Multi-Year Research, Development, and Demonstration Plan, chapter (3) Hydrogen Production, 11007, 1–44
  42. U.S. Department of Energy [DOE]. (2018). DOE Technical Targets for Hydrogen Production from Photoelectrochemical Water Splitting. https://www.energy.gov/eere/fuelcells/doe-technical-targets-hydrogen-production-photoelectrochemical-water-splitting. 1–6
  43. Vafaeipour, M., Zolfani, S. H., Varzandeh, M. H. M., Derakhti, A., & Eshkalag, M. K. (2014). Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach. Energy Conversion and Management, 86, 653-663. https://doi.org/10.1016/j.enconman.2014.05.083
  44. Venkatesan, R., Velumani, S., & Kassiba, A. (2012). Mechanochemical synthesis of nanostructured BiVO4 and investigations of related features. Materials Chemistry and Physics, 135(2-3), 842-848. https://doi.org/10.1016/j.matchemphys.2012.05.068
  45. Victório, C. J. M., Costa, H. G., & Souza, C. G. D. (2015). Modeling selection criteria of R&D projects for awarding direct subsidies to the private sector. Science and Public Policy, 43(2), 275-287. https://doi.org/10.1093/scipol/scu088
  46. Wang, S. H., Chang, S. P., Williams, P., Koo, B., & Qu, Y. R. (2015). Using Balanced Scorecard for Sustainable Design-centered Manufacturing. Procedia Manufacturing, 1, 181-192. https://doi.org/10.1016/j.promfg.2015.09.084
  47. Wang, W. P., & Tang, M. C. (2015). A multi-criteria assessment for R&D innovation with fuzzy computing with words. In Modelling, Computation and Optimization in Information Systems and Management Sciences (pp. 3-14). Springer, Cham. https://doi.org/10.1007/978-3-319-18167-7_1
  48. Watson, J. J., & Hudson, M. D. (2015). Regional Scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landscape and Urban Planning, 138, 20-31. https://doi.org/10.1016/j.landurbplan.2015.02.001
  49. Xia, D., Yu, Q., Gao, Q., & Cheng, G. (2017). Sustainable technology selection decision-making model for enterprise in supply chain: Based on a modified strategic balanced scorecard. Journal of cleaner production, 141, 1337-1348. https://doi.org/10.1016/j.jclepro.2016.09.083
  50. Yourey, J. E. (2014). Photoelectrochemical and Photocatalytic Water Oxidation using Metal Oxides. PhD thesis, University of Michigan
  51. Zaleska, A. (2008). Doped-TiO2: a review. Recent patents on engineering, 2(3), 157-164. https://doi.org/10.2174/187221208786306289
  52. Zhao, H., & Li, N. (2015). Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability. Journal of Cleaner Production, 108, 569-582. https://doi.org/10.1016/j.jclepro.2015.07.141

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