Periodic Reporting for period 2 - SHERLOHCK (SUSTAINABLE AND COST-EFFICIENT CATALYST FOR HYDROGEN AND ENERGY STORAGE APPLICATIONS BASED ON LIQUID ORGANIC HYDROGEN CARRIERS : ECONOMIC VIABILITY FOR MARKET UPTAKE)
Berichtszeitraum: 2022-07-01 bis 2024-06-30
In order to reduce the system cost for LOHC technology to 3 €/Kg for large scale applications SherLOHCk project targets the joint developments consisting on :i) highly active and selective catalyst with partial/total substitution of PGM and thermo-conductive catalyst support to reduce the energy intensity during loading/unloading processes: ii) novel catalytic system architecture ranging from the catalyst to the heat exchanger to minimize the internal heat loss and to increase space-time-yield and iii) novel catalyst testing, system validation and demonstration in demo unit (continuous flow; >200h); to drastically improve their technical performances and energy storage efficiency of LOHCs:
The combination of the materials’ challenges, the catalyst system and their related energy storage capabilities will constitute the core of a catalyst system for LOHC, that will be validated first at a lab scale, then in a continuous flow demo unit. As a whole they will enable the reduction of Energy intensity during loading/unloading processes, a higher efficiency and increased lifetime. Technological, economical and societal bottlenecks are considered to determine the economic viability, balance of energy and the environmental footprint of novel catalyst synthesis route.
Scale-up of the obtained solutions will be carried out together with technology comparison with other hydrogen logistic concepts based on Life Cycle Analysis (LCA) and Total Cost of Ownership (TCO) considerations to finally improve economic viability of the LOHC technology.
By M42, γ-Al2O3 was identified as the best support material. Pt-based hydrogenation and dehydrogenation catalysts showed high selectivity (≥99%) and conversion (>90%). The presence of oxygenates negatively affected performance, but PtFe catalysts performed better. Extensive characterization provided insights into catalyst behavior, and oxidative regeneration restored catalyst function. WP4's development of metallic 3D-printed structures improved catalyst productivity 4.5 times. WP5 demonstrated progress in catalyst testing and optimization, identifying key challenges related to catalyst deactivation and reactivation.
Techno-economic assessments (WP6) highlighted the environmental benefits of low-Pt catalysts and the economic viability of LOHC technology. LCA studies favored LOHC transport over other hydrogen storage methods, and structured dehydrogenation catalysts showed scalability potential. WP7 focused on communication, dissemination, and maximizing the project's impact. Key Performance Indicators (KPIs) showed continued success in publications and exploitation activities. on the EC platform.
This improved activity of the catalyst at lower reaction temperatures offers the possibility to run the reaction at lower temperatures with the same yield, thereby reducing the heat lost from the reactor to the environment by reducing the temperature difference.
As mentioned before the catalysts developed and tested in the SherLOHCk project showed promising results in comparison to the benchmark catalysts. However, in order to transfer the catalyst recipe from powder to pellets changes in the recipe had to be made. Due to time limitations, it was not possible to optimize the catalyst recipe even further. This, however, could be work for further research leading to even better catalyst performance. In addition, further research is needed in the evaluation of these developed and upscaled catalyst like e.g. even longer tests in a continuous flow reactor to get more insights into the long-term catalyst performance. In addition, the very promising catalyst reactivation procedures need to be validated in demo units and investigated further.
Overall, the upscaling process—including lab synthesis of the catalyst, batch testing, continuous flow testing, and ultimately assessing energy demand—requires further optimization and should be incorporated into future research and development roadmaps.