Recent trends in sustainable modelling for hydrogen production and utilization

April Lia Hananto; Abdullahi Tanko Mohammed; Permana Andi Paristiawan; Ihwan Ghazali; Muhammad Idris; Syah Alam; Mega Tri Kurnia

doi:10.30811/jpl.v21i3.3306

Recent trends in sustainable modelling for hydrogen production and utilization

April Lia Hananto, Abdullahi Tanko Mohammed, Permana Andi Paristiawan, Ihwan Ghazali, Muhammad Idris, Syah Alam, Mega Tri Kurnia

Abstract

Hydrogen is a promising candidate for the future of energy and global economic security owing to its cost-efficient clean and environmentally friendly nature. The utilisation of hydrogen is, however, not without obstacles. Technology maturity and the unattractive market are some of the challenges. Before hydrogen can be used on a large-scale basis, critical technical challenges need to be addressed, such as the economical production and transportation and storage issues. In terms of energy prices, hydrogen is an inexpensive fuel. Ideally, a vehicle run on hydrogen reduces the cost per kilometre with better mileage than that of fuelled with fossil fuel. Electric vehicles run on hydrogen fuel cells, for instance, offer several performance improvements over conventional internal combustion engines. This includes better fuel efficiency and relatively less noise operation, yet one of the important technical challenges is onboard hydrogen storage. In this review article, recent trends in modeling for hydrogen production and utilization are addressed in detail.

Keywords

Hydrogen production; Renewable energy; Hydrogen storage; Modelling; Future energy

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References

Veza, I., et al., Effect of COVID-19 on biodiesel industry: A case study in Indonesia and Malaysia. International Journal of Automotive and Mechanical Engineering, 2021. 18(2): p. 8637-8646.

Veza, I., et al., Physico-chemical properties of Acetone-Butanol-Ethanol (ABE)-diesel blends: Blending strategies and mathematical correlations. Fuel, 2021. 286: p. 119467.

Veza, I., M.F.M. Said, and Z.A. Latiff, Improved performance, combustion and emissions of SI engine fuelled with butanol: A review. International Journal of Automotive and Mechanical Engineering, 2020. 17(1): p. 7648-7666.

Zhao, S., et al., Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass. Journal of Cleaner Production, 2021. 316: p. 128244.

Zhang, Y., et al., Hydrogen production through biomass gasification in supercritical water: a review from exergy aspect. International Journal of Hydrogen Energy, 2019. 44(30): p. 15727-15736.

Arregi, A., et al., Evaluation of thermochemical routes for hydrogen production from biomass: A review. Energy conversion and management, 2018. 165: p. 696-719.

De Falco, M., et al., Hydrogen production by solar steam methane reforming with molten salts as energy carriers: Experimental and modelling analysis. International Journal of Hydrogen Energy, 2021. 46(18): p. 10682-10696.

Rosen, M.A. and S. Koohi-Fayegh, The prospects for hydrogen as an energy carrier: an overview of hydrogen energy and hydrogen energy systems. Energy, Ecology and Environment, 2016. 1(1): p. 10-29.

Wu, D., et al., Co (OH) 2 nanoparticle‐encapsulating conductive nanowires array: room‐temperature electrochemical preparation for high‐performance water oxidation electrocatalysis. Advanced Materials, 2018. 30(9): p. 1705366.

Dinh, V.N., et al., Development of a viability assessment model for hydrogen production from dedicated offshore wind farms. International Journal of Hydrogen Energy, 2021. 46(48): p. 24620-24631.

Jia, J., et al., Solar water splitting by photovoltaic-electrolysis with a solar-to-hydrogen efficiency over 30%. Nature communications, 2016. 7(1): p. 1-6.

Rodríguez, C., et al., Analysis of the potential for hydrogen production in the province of Córdoba, Argentina, from wind resources. International Journal of Hydrogen Energy, 2010. 35(11): p. 5952-5956.

Posso, F. and J. Zambrano, Estimation of electrolytic hydrogen production potential in Venezuela from renewable energies. international journal of hydrogen energy, 2014. 39(23): p. 11846-11853.

Posso, F., et al., Preliminary estimation of electrolytic hydrogen production potential from renewable energies in Ecuador. international journal of hydrogen energy, 2016. 41(4): p. 2326-2344.

Levene, J.I., et al., An analysis of hydrogen production from renewable electricity sources. Solar energy, 2007. 81(6): p. 773-780.

Ni, M., et al., Potential of renewable hydrogen production for energy supply in Hong Kong. International journal of hydrogen energy, 2006. 31(10): p. 1401-1412.

Dagdougui, H., A. Ouammi, and R. Sacile, A regional decision support system for onsite renewable hydrogen production from solar and wind energy sources. International Journal of Hydrogen Energy, 2011. 36(22): p. 14324-14334.

Boudries, R., Analysis of solar hydrogen production in Algeria: Case of an electrolyzer-concentrating photovoltaic system. International journal of hydrogen energy, 2013. 38(26): p. 11507-11518.

Ghribi, D., et al., Study of hydrogen production system by using PV solar energy and PEM electrolyser in Algeria. international journal of hydrogen energy, 2013. 38(20): p. 8480-8490.

Rahmouni, S., et al., Prospects of hydrogen production potential from renewable resources in Algeria. International Journal of Hydrogen Energy, 2017. 42(2): p. 1383-1395.

Honnery, D. and P. Moriarty, Estimating global hydrogen production from wind. International journal of hydrogen energy, 2009. 34(2): p. 727-736.

Kaya, K. and Y. Hames, Two new control strategies: For hydrogen fuel saving and extend the life cycle in the hydrogen fuel cell vehicles. international journal of hydrogen energy, 2019. 44(34): p. 18967-18980.

Chen, F.-q., et al., Pressure analysis on two-step high pressure reducing system for hydrogen fuel cell electric vehicle. international journal of hydrogen energy, 2017. 42(16): p. 11541-11552.

Robledo, C.B., et al., Integrating a hydrogen fuel cell electric vehicle with vehicle-to-grid technology, photovoltaic power and a residential building. Applied energy, 2018. 215: p. 615-629.

Li, Y., et al., A Kriging-based bi-objective constrained optimization method for fuel economy of hydrogen fuel cell vehicle. International Journal of Hydrogen Energy, 2019. 44(56): p. 29658-29670.

Turgunboev, T. and A. Saidov, Prospective Of Hydrogen in Automobile Transport. ACTA of Turin Polytechnic University in Tashkent, 2019. 9(3): p. 100-103.

Imanina, N.N., T.K. Lu, and A. Fadhilah. A proposed model of factors influencing hydrogen fuel cell vehicle acceptance. in IOP Conference Series: Earth and Environmental Science. 2016. IOP Publishing.

Wang, G., Y. Chao, and Z. Chen, Promoting developments of hydrogen powered vehicle and solar PV hydrogen production in China: A study based on evolutionary game theory method. Energy, 2021. 237: p. 121649.

Correa, C.R. and A. Kruse, Supercritical water gasification of biomass for hydrogen production–Review. The Journal of Supercritical Fluids, 2018. 133: p. 573-590.

Kalinci, Y., A. Hepbasli, and I. Dincer, Biomass-based hydrogen production: a review and analysis. International journal of hydrogen energy, 2009. 34(21): p. 8799-8817.

Saxena, R., et al., Thermo-chemical routes for hydrogen rich gas from biomass: a review. Renewable and Sustainable Energy Reviews, 2008. 12(7): p. 1909-1927.

Amrullah, A. and Y. Matsumura, Supercritical water gasification of sewage sludge in continuous reactor. Bioresource technology, 2018. 249: p. 276-283.

Cao, C., et al., Hydrogen production from supercritical water gasification of soda black liquor with various metal oxides. Renewable Energy, 2020. 157: p. 24-32.

Rana, R., et al., Comparative evaluation for catalytic gasification of petroleum coke and asphaltene in subcritical and supercritical water. Journal of energy chemistry, 2019. 31: p. 107-118.

Louw, J., et al., Thermodynamic modelling of supercritical water gasification: Investigating the effect of biomass composition to aid in the selection of appropriate feedstock material. Bioresource technology, 2014. 174: p. 11-23.

Nanda, S., A.K. Dalai, and J.A. Kozinski, Supercritical water gasification of timothy grass as an energy crop in the presence of alkali carbonate and hydroxide catalysts. Biomass and Bioenergy, 2016. 95: p. 378-387.

Nanda, S., et al., Gasification of fruit wastes and agro-food residues in supercritical water. Energy Conversion and Management, 2016. 110: p. 296-306.

Brandenberger, M., et al., Producing synthetic natural gas from microalgae via supercritical water gasification: A techno-economic sensitivity analysis. biomass and bioenergy, 2013. 51: p. 26-34.

Chibane, L. and B. Djellouli, Methane steam reforming reaction behaviour in a packed bed membrane reactor. International Journal of Chemical Engineering and Applications, 2011. 2(3): p. 147.

Gallucci, F., L. Paturzo, and A. Basile, A simulation study of the steam reforming of methane in a dense tubular membrane reactor. International Journal of Hydrogen Energy, 2004. 29(6): p. 611-617.

Fernandes, F.A. and A.B. Soares Jr, Methane steam reforming modeling in a palladium membrane reactor. Fuel, 2006. 85(4): p. 569-573.

Sheintuch, M. and R.M. Dessau, Observations, modeling and optimization of yield, selectivity and activity during dehydrogenation of isobutane and propane in a Pd membrane reactor. Chemical Engineering Science, 1996. 51(4): p. 535-547.

Giaconia, A., et al., Solar steam reforming of natural gas for hydrogen production using molten salt heat carriers. AIChE journal, 2008. 54(7): p. 1932-1944.

De Falco, M., A. Basile, and F. Gallucci, Solar membrane natural gas steam‐reforming process: evaluation of reactor performance. Asia‐Pacific Journal of Chemical Engineering, 2010. 5(1): p. 179-190.

De Falco, M., et al., Enriched methane production using solar energy: an assessment of plant performance. international journal of hydrogen energy, 2009. 34(1): p. 98-109.

De Falco, M., et al., Simulation of large-scale membrane reformers by a two-dimensional model. Chemical Engineering Journal, 2007. 128(2-3): p. 115-125.

De Falco, M., L. Di Paola, and L. Marrelli, Heat transfer and hydrogen permeability in modelling industrial membrane reactors for methane steam reforming. International Journal of Hydrogen Energy, 2007. 32(14): p. 2902-2913.

Piemonte, V., et al., Counter-current membrane reactor for WGS process: Membrane design. International journal of hydrogen energy, 2010. 35(22): p. 12609-12617.

De Falco, M., et al., The effect of heat-flux profile and of other geometric and operating variables in designing industrial membrane methane steam reformers. Chemical Engineering Journal, 2008. 138(1-3): p. 442-451.

Kyriakides, A.-S., et al., Modelling and simulation of a membrane reactor for the low temperature methane steam reforming. CHEMICAL ENGINEERING, 2013. 35.

Bruni, G., et al., On the energy efficiency of hydrogen production processes via steam reforming using membrane reactors. International Journal of Hydrogen Energy, 2019. 44(2): p. 988-999.

Leonzio, G., ANOVA analysis of an integrated membrane reactor for hydrogen production by methane steam reforming. International Journal of Hydrogen Energy, 2019. 44(23): p. 11535-11545.

Kim, C.-H., et al., Methane steam reforming using a membrane reactor equipped with a Pd-based composite membrane for effective hydrogen production. International Journal of Hydrogen Energy, 2018. 43(11): p. 5863-5872.

Veza, I., et al., Electric Vehicles in Malaysia and Indonesia: Opportunities and Challenges. Energies, 2022. 15(7).

Veza, I., et al. Potential of range extender electric vehicles (REEVS). in IOP Conference Series: Materials Science and Engineering. 2020. IOP Publishing.

Waheed, R., S. Sarwar, and C. Wei, The survey of economic growth, energy consumption and carbon emission. Energy Reports, 2019. 5: p. 1103-1115.

Ahmadi, P., Environmental impacts and behavioral drivers of deep decarbonization for transportation through electric vehicles. Journal of cleaner production, 2019. 225: p. 1209-1219.

Moradi, R. and K.M. Groth, Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis. International Journal of Hydrogen Energy, 2019. 44(23): p. 12254-12269.

Zhang, B., Z. Wang, and B. Wang, Energy production, economic growth and CO 2 emission: evidence from Pakistan. Natural Hazards, 2018. 90(1): p. 27-50.

Rauf, A., et al., Structural changes, energy consumption and carbon emissions in China: empirical evidence from ARDL bound testing model. Structural Change and Economic Dynamics, 2018. 47: p. 194-206.

Zafar, M.W., et al., The nexus of renewable and nonrenewable energy consumption, trade openness, and CO 2 emissions in the framework of EKC: evidence from emerging economies. Environmental Science and Pollution Research, 2019. 26(15): p. 15162-15173.

Dutta, C.B. and D.K. Das, Does disaggregated CO2 emission matter for growth? Evidence from thirty countries. Renewable and Sustainable Energy Reviews, 2016. 66: p. 825-833.

Bamisile, O., et al., Impact of economic development on CO2 emission in Africa; the role of BEVs and hydrogen production in renewable energy integration. International Journal of Hydrogen Energy, 2021. 46(2): p. 2755-2773.

Liu, H., et al., Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression. Renewable energy, 2019. 143: p. 842-854.

Veza, I., et al., Cetane index prediction of ABE-diesel blends using empirical and artificial neural network models. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020: p. 1-18.

Veza, I., et al., Application of Elman and Cascade neural network (ENN and CNN) in comparison with adaptive neuro fuzzy inference system (ANFIS) to predict key fuel properties of ABE-diesel blends. International Journal of Green Energy, 2021: p. 1-13.

Taylor, S.J. and B. Letham, Forecasting at scale. The American Statistician, 2018. 72(1): p. 37-45.

McNally, S., J. Roche, and S. Caton. Predicting the price of bitcoin using machine learning. in 2018 26th euromicro international conference on parallel, distributed and network-based processing (PDP). 2018. IEEE.

Voyant, C., et al., Machine learning methods for solar radiation forecasting: A review. Renewable Energy, 2017. 105: p. 569-582.

Mordjaoui, M., et al., Electric load forecasting by using dynamic neural network. International journal of hydrogen energy, 2017. 42(28): p. 17655-17663.

Kaundal, R., A.S. Kapoor, and G.P. Raghava, Machine learning techniques in disease forecasting: a case study on rice blast prediction. BMC bioinformatics, 2006. 7(1): p. 1-16.

Zaytar, M.A. and C. El Amrani, Sequence to sequence weather forecasting with long short-term memory recurrent neural networks. International Journal of Computer Applications, 2016. 143(11): p. 7-11.

Haider, S.A., M. Sajid, and S. Iqbal, Forecasting hydrogen production potential in islamabad from solar energy using water electrolysis. International Journal of Hydrogen Energy, 2021. 46(2): p. 1671-1681.

DOI: http://dx.doi.org/10.30811/jpl.v21i3.3306