ARC Training Centre for the Global Hydrogen Economy

December 6th, 2021

R&D Focus Areas:
Whole supply chain, safety and standards, social licence.

Lead Organisation:
University of New South Wales (Sydney)
https://www.globh2e.org.au/

Partners:
University of Sydney, University of Queensland, University of Newcastle, Curtin University, Monash University, CNRS – France, International Institute for Carbon-Neutral Energy Research Kyushu University – Japan, Tokyo University of Science – Japan, The University of Nottingham – UK, Origin Energy, Kawasaki Heavy Industry, Southern Green Gas, Standards Australia, H2Potential, Hasnur Group, Direct Energy Pty Ltd, Kohodo Hydrogen Energy, Chuangqi Shidai Qingdao Technology Co Ltd, Shenzhen Evolution Technology Co. Ltd., Rehabit Australia, H2H Advantage, Bloom Collective, Office of the NSW Chief Scientist and Engineer.

Status:
Active

Start date:
June 2021

Completion date:
Estimated June 2026

Key contacts:
Scientia Professor Rose Amal: r.amal@unsw.edu.au
Professor Francois Aguey Zinsou: f.aguey@sydney.edu.au

Funding:
AUD$4.92 million – Australian Research Council, AUD$2.46 Million from Partner funds

Project total cost:
AUD$11.123 million – combined including cash and in-kind contributions

Project summary description:
The ARC Training Centre for the Global Hydrogen Economy (GlobH2E) is an international consortium of research institution, industry partners, government agencies and hydrogen start-ups to build capacity and capability to develop new, cost-effective hydrogen technologies and new research-based engineering and business skills to facilitate and support the transformation of Australia’s industry into a hydrogen powerhouse. The aims of the Training Centre are to:

  • Train Australia’s future generation of industry-focused researchers to implement and commercialise advanced hydrogen technologies and develop business frameworks and safety standards;
  • Undertake research where technologies will contribute to competitive advantages on the global market and lead to commercially viable ventures;
  • Educate and disseminate hydrogen technology and its safe use for effective transition and adoption into the broader economy
  • Enable cross-institutions, industry-university-government research collaborations that create a path for simpler deployment, and commercialisation of hydrogen technologies;
  • Reduce the risk of hydrogen technologies to benefit early adopters.

The GlobH2E works on five key research themes to provide transformative pathways for Australian industry: Hydrogen production, Hydrogen Storage and Utilisation, Hydrogen Safety, Value Chain and Business Models, and Social Acceptance and Transfer of Skills.

Related publications and key links:

  • Ali Khan, M. H., Daiyan, R., Han, Z., Hablutzel, M., Haque, N., Amal, R., & MacGill, I. (2021). Designing optimal integrated electricity supply configurations for renewable hydrogen generation in Australia. IScience, 24(6). https://doi.org/10.1016/j.isci.2021.102539
  • Ali Khan, M. H., Daiyan, R., Neal, P., Haque, N., MacGill, I., & Amal, R. (2021). A framework for assessing economics of blue hydrogen production from steam methane reforming using carbon capture storage & utilisation. International Journal of Hydrogen Energy, 46(44), 22685–22706. https://doi.org/10.1016/j.ijhydene.2021.04.104
  • Chen, W., Qiu, J., & Chai, Q. (2021). Customized Critical Peak Rebate Pricing Mechanism for Virtual Power Plants. IEEE Transactions on Sustainable Energy, 12(4), 2169–2183. https://doi.org/10.1109/TSTE.2021.3084211
  • Chen, W., Qiu, J., Zhao, J., Chai, Q., & Dong, Z. Y. (2021). Bargaining Game-Based Profit Allocation of Virtual Power Plant in Frequency Regulation Market Considering Battery Cycle Life. IEEE Transactions on Smart Grid, 12(4), 2913–2928. https://doi.org/10.1109/TSG.2021.3053000
  • Chen, X., Liu, B., Qiu, J., Shen, W., Reedman, L., & Dong, Z. Y. (2021). A new trading mechanism for prosumers based on flexible reliability preferences in active distribution network. Applied Energy, 283. https://doi.org/10.1016/j.apenergy.2020.116272
  • Daiyan, R., Macgill, I., & Amal, R. (2020). Opportunities and Challenges for Renewable Power-to-X. ACS Energy Letters, 5(12), 3843–3847. https://doi.org/10.1021/acsenergylett.0c02249
  • Daiyan, R., Tran-Phu, T., Kumar, P., Iputera, K., Tong, Z., Leverett, J., Khan, M. H. A., Asghar Esmailpour, A., Jalili, A., Lim, M., Lovell, E., & Amal, R. (2021). Nitrate reduction to ammonium: From CuO defect engineering to waste NOx-to-NH3 economic feasibility. Energy and Environmental Science, 14(6), 3588–3598. https://doi.org/10.1039/d1ee00594d
  • Foller, T., Daiyan, R., Jin, X., Leverett, J., Kim, H., Webster, R., Yap, J. E., Wen, X., Rawal, A., de Silva, K. K. H., Amal, R., & Joshi, R. (2021). Enhanced graphitic domains of unreduced graphene oxide and the interplay of hydration behaviour and catalytic activity. Materials Today. https://doi.org/10.1016/j.mattod.2021.08.003
  • Gunawan, D., Toe, C. Y., Kumar, P., Scott, J., & Amal, R. (2021). Synergistic Cyanamide Functionalization and Charge-Induced Activation of Nickel/Carbon Nitride for Enhanced Selective Photoreforming of Ethanol. ACS Applied Materials and Interfaces, 13(42), 49916–49926. https://doi.org/10.1021/acsami.1c14195
  • Jia, C., Dastafkan, K., & Zhao, C. (2022). Key factors for designing single-atom metal-nitrogen-carbon catalysts for electrochemical CO2 reduction. Current Opinion in Electrochemistry, 31. https://doi.org/10.1016/j.coelec.2021.100854
  • Lai, S., Qiu, J., Tao, Y., & Liu, Y. (2022). Risk hedging strategies for electricity retailers using insurance and strangle weather derivatives. International Journal of Electrical Power and Energy Systems, 134. https://doi.org/10.1016/j.ijepes.2021.107372
  • Lai, S., Qiu, J., Tao, Y., & Zhao, J. (2021). Risk hedging for gas power generation considering power-to-gas energy storage in three different electricity markets. Applied Energy, 291. https://doi.org/10.1016/j.apenergy.2021.116822
  • Leverett, J., Daiyan, R., Gong, L., Iputera, K., Tong, Z., Qu, J., Ma, Z., Zhang, Q., Cheong, S., Cairney, J., Dai, L., & Amal, R. (2021). Designing Undercoordinated Ni-Nx and Fe-Nx on Holey Graphene for Electrochemical CO2 Conversion to Syngas. ACS Nano, 15(7), 12006–12018. https://doi.org/10.1021/acsnano.1c03293
  • Liu, G., Tao, Y., Xu, L., Chen, Z., Qiu, J., & Lai, S. (2021). Coordinated management of aggregated electric vehicles and thermostatically controlled loads in hierarchical energy systems. International Journal of Electrical Power and Energy Systems,131, https://doi.org/10.1016/j.ijepes.2021.107090
  • Sun, L., Qiu, J., Han, X., & Dong, Z. Y. (2021). Energy sharing platform based on call auction method with the maximum transaction volume. Energy, 225. https://doi.org/10.1016/j.energy.2021.120237
  • Sun, L., Qiu, J., Han, X., Yin, X., & Dong, Z. (2020a). Per-use-share rental strategy of distributed BESS in joint energy and frequency control ancillary services markets. Applied Energy, 277. https://doi.org/10.1016/j.apenergy.2020.115589
  • Sun, L., Qiu, J., Han, X., Yin, X., & Dong, Z. Y. (2020b). Capacity and energy sharing platform with hybrid energy storage system: An example of hospitality industry. Applied Energy, 280. https://doi.org/10.1016/j.apenergy.2020.115897
  • Sun, X., & Qiu, J. (2021a). A Customized Voltage Control Strategy for Electric Vehicles in Distribution Networks with Reinforcement Learning Method. IEEE Transactions on Industrial Informatics, 17(10), 6852–6863. https://doi.org/10.1109/TII.2021.3050039
  • Sun, X., & Qiu, J. (2021b). Two-Stage Volt/Var Control in Active Distribution Networks with Multi-Agent Deep Reinforcement Learning Method. IEEE Transactions on Smart Grid, 12(4), 2903–2912. https://doi.org/10.1109/TSG.2021.3052998
  • Sun, X., Qiu, J., & Zhao, J. (2021a). Optimal Local Volt/Var Control for Photovoltaic Inverters in Active Distribution Networks. IEEE Transactions on Power Systems, 36(6), 5756–5766. https://doi.org/10.1109/TPWRS.2021.3080039
  • Sun, X., Qiu, J., & Zhao, J. (2021b). Real-Time Volt/Var Control in Active Distribution Networks with Data-Driven Partition Method. IEEE Transactions on Power Systems, 36(3), 2448–2461. https://doi.org/10.1109/TPWRS.2020.3037294
  • Tao, Y., Qiu, J., Lai, S., & Zhao, J. (2021a). Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems. IEEE Transactions on Smart Grid, 12(2), 1149–1162. https://doi.org/10.1109/TSG.2020.3023716
  • Tao, Y., Qiu, J., Lai, S., & Zhao, J. (2021b). Renewable energy certificates and electricity trading models: Bi-level game approach. International Journal of Electrical Power and Energy Systems, 130. https://doi.org/10.1016/j.ijepes.2021.106940
  • Tao, Y., Qiu, J., Lai, S., Zhao, J., & Xue, Y. (2021). Carbon-Oriented Electricity Network Planning and Transformation. IEEE Transactions on Power Systems, 36(2), 1034–1048. https://doi.org/10.1109/TPWRS.2020.3016668
  • Tran-Phu, T., Daiyan, R., Leverett, J., Fusco, Z., Tadich, A., di Bernardo, I., Kiy, A., Truong, T. N., Zhang, Q., Chen, H., Amal, R., & Tricoli, A. (2022). Understanding the activity and stability of flame-made Co3O4 spinels: A route towards the scalable production of highly performing OER electrocatalysts. Chemical Engineering Journal, 429. https://doi.org/10.1016/j.cej.2021.132180
  • Wan, T., Tao, Y., Qiu, J., & Lai, S. (2021). Data-Driven Hierarchical Optimal Allocation of Battery Energy Storage System. IEEE Transactions on Sustainable Energy, 12(4), 2097–2109. https://doi.org/10.1109/TSTE.2021.3080311
  • Wang, Y., Qiu, J., Tao, Y., Zhang, X., & Wang, G. (2020). Low-carbon oriented optimal energy dispatch in coupled natural gas and electricity systems. Applied Energy, 280. https://doi.org/10.1016/j.apenergy.2020.115948
  • Yang, Y., Qiu, J., Ma, J., & Zhang, C. (2021). Integrated grid, coal-fired power generation retirement and GESS planning towards a low-carbon economy. International Journal of Electrical Power and Energy Systems, 124. https://doi.org/10.1016/j.ijepes.2020.106409
  • Yu, X., Hu, Z., & Shen, Y. (2021). Modeling of hydrogen shaft injection in ironmaking blast furnaces. Fuel, 302. https://doi.org/10.1016/j.fuel.2021.121092
  • Zhang, C., Qiu, J., Yang, Y., & Zhao, J. (2021). Trading-oriented battery energy storage planning for distribution market. International Journal of Electrical Power and Energy Systems, 129. https://doi.org/10.1016/j.ijepes.2021.106848
  • Zhang, D., Tsounis, C., Ma, Z., Djaidiguna, D., Bedford, N. M., Thomsen, L., Lu, X., Chu, D., Amal, R., & Han, Z. (2021). Highly Selective Metal-Free Electrochemical Production of Hydrogen Peroxide on Functionalized Vertical Graphene Edges. Small. https://doi.org/10.1002/smll.202105082
  • Zhang, H., Qiu, J., & Wang, Y. (2021). Planning strategy of fast-charging stations in coupled transportation and distribution systems considering human health impact. International Journal of Electrical Power and Energy Systems, 133. https://doi.org/10.1016/j.ijepes.2021.107316
  • Zhang, Q., Zhe Ru, Z. L., Daiyan, R., Kumar, P., Pan, J., Lu, X., & Amal, R. (2021). Surface Reconstruction Enabled Efficient Hydrogen Generation on a Cobalt-Iron Phosphate Electrocatalyst in Neutral Water. ACS Applied Materials and Interfaces. https://doi.org/10.1021/acsami.1c14588
  • Zhou, S., Sun, K., Huang, J., Lu, X., Xie, B., Zhang, D., Hart, J. N., Toe, C. Y., Hao, X., & Amal, R. (2021). Accelerating Electron-Transfer and Tuning Product Selectivity Through Surficial Vacancy Engineering on CZTS/CdS for Photoelectrochemical CO2 Reduction. Small, 17(31). https://doi.org/10.1002/smll.202100496
  • Zhu, X., Tan, X., Wu, K.-H., Haw, S.-C., Pao, C.-W., Su, B.-J., Jiang, J., Smith, S. C., Chen, J.-M., Amal, R., Amal, R., & Lu, X. (2021). Intrinsic ORR Activity Enhancement of Pt Atomic Sites by Engineering the d-Band Center via Local Coordination Tuning. Angewandte Chemie – International Edition, 60(40), 21911–21917. https://doi.org/10.1002/anie.202107790
  • Zhuo, Y., Jung, S., & Shen, Y. (2021). Numerical Study of Hydrogen Desorption in an Innovative Metal Hydride Hydrogen Storage Tank. Energy and Fuels, 35(13), 10908–10917. https://doi.org/10.1021/acs.energyfuels.1c00666

Higher degree studies supported:
Anticipates recruiting over a dozen PhD students based across five Australian Universities: University of New South Wales (Sydney), University of Sydney, University of Queensland, University of Newcastle and Curtin University.

 

December 2021