Indonesia

The EU Horizon2020 RISE project 778307 “Hydrogen fuelled utility and their support systems utilising metal hydrides” (HYDRIDE4MOBILITY) worked on the commercialization of hydrogen powered forklifts using metal hydride (MH) based hydrogen stores. The project consortium joined forces of 9 academic and industrial partners from 4 countries. The work program included a) Development of the materials for hydrogen storage and compression; b) Theoretical modelling and optimisation of the materials performance and system integration; c) Advanced fibre reinforced composite cylinder systems for H2 storage and compression; d) System validation. Materials development was focused on i) Zr/Ti-based Laves type high entropy alloys; ii) Mg-rich composite materials; iii) REMNiSn intermetallics; iv) Mg based materials for the hydrolysis process; v) Cost-efficient alloys. For the optimized AB2±x alloys the Zr/Ti content was optimized at A = Zr78-88Ti12–22 while B=Ni10Mn5.83VFe. These alloys provided a) Low hysteresis of hydrogen absorption-desorption; b) Excellent kinetics of charge and discharge; c) Tailored thermodynamics; d) Long cycle life. Zr0.85Ti0.15TM2 alloy provided a reversible H storage and electrochemical capacity of 1.6 wt% H and 450 mAh/g. The tanks development targeted: i) High efficiency of heat and hydrogen exchange; ii) Reduction of the weight and increasing the working H2 pressure; iii) Modelling testing and optimizing the H2 stores with fast performance. The system for power generation was validated at the Implats plant in a fuel cell powered forklift with on-board MH hydrogen storage and on-site H2 refuelling. The outcome on the HYDRIDE4MOBILITY project (2017–2024) (http://hydride4mobility.fesb.unist. hr) was presented in 58 publications.

This study evaluates the potential for large-scale green hydrogen production in Indonesia by utilizing renewable energy sources connected on-grid namely 50 MWp of solar panels and 35 MW of wind turbines as well as a hybrid system combining both with a capacity of 45 MW at a grid cost of $100/kWh in five strategic cities: Banyuwangi Kupang BauBau Banjarmasin and Ambon. Using HOMER Pro software various integrated energy system scenarios involving ion exchange membrane electrolysis and alkaline water electrolysis. Additionally the study assumes a project lifespan of 15 years a discount rate of 6.6% and an inflation rate of 2.54%. The results showed that Bau-Bau recorded the highest hydrogen production reaching more than 1.9 million kilograms per year with the lowest levelized cost of hydrogen of $0.65/kg in Scheme 2. On the other hand Kupang shows high costs for most schemes with the levelized cost reaching $1.10/kg. In addition to hydrogen the study also evaluated oxygen production as a by-product of electrolysis. Bau-Bau and Kupang recorded the highest oxygen production with Scheme 6 achieving more than 15 million kilograms per year. The cost of electricity production varies between cities with Banyuwangi having the lowest cost of electricity for wind energy at $80.9/MWh. The net present cost for renewable energy systems in Banyuwangi was $35.4 million for wind turbines while the photovoltaic+wind combination showed the highest cost at $116 million. These findings emphasize the importance of hybrid systems in improving hydrogen production efficiency and supporting sustainable energy transition in Indonesia.

Hydrogen demand estimation for various transport modes supports policy and decision-making for the transition towards a sustainable low-carbon future transport system. It is one of the major factors that determine infrastructure construction production and distribution cost optimisation. Researchers have developed various methods for modelling hydrogen demand and its geographical distribution each based on different sets of predictor variables. This paper systematically reviews these methods and examines the key variables used in hydrogen demand estimation including the number of vehicles travel distance penetration rate and fuel economy. It emphasises the role of spatial analysis in uncovering the geographical distribution of hydrogen demand providing insights for strategic infrastructure planning. Furthermore the discussion underscores the significance of minimising uncertainty by incorporating multiple scenarios into the model thereby accommodating the dynamic nature of hydrogen adoption in transport. The necessity for multi-temporal estimation which accounts for the changing nature of hydrogen demand over time is also highlighted. In addition this paper advocates for a holistic approach to hydrogen demand estimation integrating spatiotemporal analysis. Future research could enhance the reliability of hydrogen demand models by addressing uncertainty through advanced modelling techniques to improve accuracy and spatial-temporal resolution.

Hydrogen is the key to decarbonising heavy-duty transport. Understanding the distribution of hydrogen demand is crucial for effective planning and development of infrastructure. However current data on future hydrogen demand is often coarse and aggregated limiting its utility for detailed analysis and decision-making. This study developed a spatial disaggregation approach to estimating hydrogen demand for heavy-duty trucks and mapping the spatial distribution of hydrogen demand across multiple scales in Australia. By integrating spatial datasets with economic factors market penetration rates and technical specifications of hydrogen fuel cell vehicles the approach disaggregates the projected demand into specific demand centres allowing for the mapping of regional hydrogen demand patterns and the identification of key centres of hydrogen demand based on heavy-duty truck traffic flow projections under different scenarios. This approach was applied to Australia and the findings offered valuable insights that can help policymakers and stakeholders plan and develop hydrogen infrastructure such as optimising hydrogen refuelling station locations and support the transition to a low-carbon heavy-duty transport sector.