Publications

This paper contributes to the climate policy discussion by focusing on the challenges and opportunities of reaching net zero emissions by 2050 in Italy. To support Italian energy planning we developed energy roadmaps towards national climate neutrality consistent with the Paris Agreement objectives and the IPCC goal of limiting the increase in global surface temperature to 1.5 ◦C. Starting from the Italian framework these scenarios identify the correlations among the main pillars for the change of the energy paradigm towards net emissions by 2050. The energy scenarios were developed using TIMES-RSE a partial equilibrium and technology-rich optimization model of the entire Italian energy system. Subsequently an in-depth analysis was developed with the sMTISIM a long-term simulator of power system and electricity markets. The results show that to achieve climate neutrality by 2050 the Italian energy system will have to experience profound transformations on multiple and strongly related dimensions. A predominantly renewable-based energy mix (at least 80–90% by 2050) is essential to decarbonize most of the final energy consumption. However the strong increase of non-programmable renewable sources requires particular attention to new flexibility resources needed for the power system such as Power-to-X. The green fuels produced from renewables via Power-to-X will be a vital energy source for those sectors where electrification faces technical and economic barriers. The paper’s findings also confirm that the European “energy efficiency first” principle represents the very first step on the road to climate neutrality.

Every wind turbine is subject to fluctuations in power generation depending on climatic conditions. When electricity supply exceeds demand wind turbines are forced to implement curtailment causing a reduction in generation efficiency and commercial loss to turbine owners. Since the frequency and amount of curtailment of wind turbines increases as the amount of renewable energy become higher on Jeju Island in South Korea Jeju is configuring a Power to Gas (P2G) water electrolysis system that will be connected to an existing wind farm to use the “wasted energy”. In this study economic analysis was performed by calculating the production cost of green hydrogen and sensitivity analysis evaluated the variance in hydrogen cost depending on several influential factors. Approaches to lower hydrogen costs are necessary for the following reasons. The operating company needs a periodical update of hydrogen sale prices by reflecting a change in the system margin price (SMP) with the highest sensitivity to hydrogen cost. Technical development to reduce hydrogen costs in order to reduce power consumption for producing hydrogen and a decrease in annual reduction rate for the efficiency of water electrolysis is recommended. Discussions and research regarding government policy can be followed to lower the hydrogen cost.

The use of hydrogen produced from renewable energy enables the reduction of greenhouse gas (GHG) emissions pursued in different international strategies. The use of power purchase agreements (PPAs) to supply renewable electricity to hydrogen production plants is an approach that can improve the feasibility of projects. This paper presents a model applicable to hydrogen projects regarding the technical and economic perspective and applies it to the Spanish case where pioneering projects are taking place via photovoltaic PPAs. The results show that PPAs are an enabling mechanism for sustaining green hydrogen projects.

In this paper we propose an optimization model that considers two pathways for injecting renewable content into natural gas pipeline networks. The pathways include (1) power-to-hydrogen or PtH where off-peak electricity is converted to hydrogen via electrolysis and (2) power-to-methane or PtM where carbon dioxide from different source locations is converted into renewable methane (also known as synthetic natural gas SNG). The above pathways result in green hydrogen and methane which can be injected into an existing natural gas pipeline network. Based on these pathways a multi-period network optimization model that integrates the design and operation of hydrogen from PtH and renewable methane is proposed. The multi-period model is a mixed-integer non-linear programming (MINLP) model that determines (1) the optimal concentration of hydrogen and carbon dioxide in the natural gas pipelines (2) the optimal location of PtH and carbon dioxide units while minimizing the overall system cost. We show using a case study in Ontario the optimal network structure for injecting renewable hydrogen and methane within an integrated natural gas network system provides a $12M cost reduction. The optimal concentration of hydrogen ranges from 0.2 vol % to a maximum limit of 15.1 vol % across the network while reaching a 2.5 vol % at the distribution point. This is well below the maximum limit of 5 vol % specification. Furthermore the optimizer realized a CO2 concentration ranging from 0.2 vol % to 0.7 vol %. This is well below the target of 1% specified in the model. The study is essential to understanding the practical implication of hydrogen penetration in natural gas systems in terms of constraints on hydrogen concentration and network system costs.

Herein a novel methodology to perform optimal sizing of AC-linked solar PV-PEM systems is proposed. The novelty of this work is the proposition of the solar plant to electrolyzer capacity ratio (AC/AC ratio) as optimization variable. The impact of this AC/AC ratio on the Levelized Cost of Hydrogen (LCOH) and the deviation of the solar DC/AC ratio when optimized specifically for hydrogen production are quantified. Case studies covering a Global Horizontal Irradiation (GHI) range of 1400e2600 kWh/m2 -year are assessed. The obtained LCOHs range between 5.9 and 11.3 USD/kgH2 depending on sizing and location. The AC/AC ratio is found to strongly affect cost production and LCOH optimality while the optimal solar DC/AC ratio varies up to 54% when optimized to minimize the cost of hydrogen instead of the cost of energy only. Larger oversizing is required for low GHI locations; however H2 production is more sensitive to sizing ratios for high GHI locations.

In this work geochemical modelling using PhreeqC was carried out to evaluate the effects of geochemical reactions on the performance of underground hydrogen storage (UHS). Equilibrium exchange and mineral reactions were considered in the model. Moreover reaction kinetics were considered to evaluate the geochemical effect on underground hydrogen storage over an extended period of 30 years. The developed model was first validated against experimental data adopted from the published literature by comparing the modelling and literature values of H2 and CO2 solubility in water at varying conditions. Furthermore the effects of pressure temperature salinity and CO2% on the H2 and CO2 inventory and rock properties in a typical sandstone reservoir were evaluated over 30 years. Results show that H2 loss over 30 years is negligible (maximum 2%) through the studied range of conditions. The relative loss of CO2 is much more pronounced compared to H2 gas with losses of up to 72%. Therefore the role of CO2 as a cushion gas will be affected by the CO2 gas losses as time passes. Hence remedial CO2 gas injections should be considered to maintain the reservoir pressure throughout the injection and withdrawal processes. Moreover the relative volume of CO2 increases with the increase in temperature and decrease in pressure. Furthermore the reservoir rock properties porosity and permeability are affected by the underground hydrogen storage process and more specifically by the presence of CO2 gas. CO2 dissolves carbonate minerals inside the reservoir rock causing an increase in the rock’s porosity and permeability. Consequently the rock’s gas storage capacity and flow properties are enhanced

This study aims to experimentally quantify the hydrogen diffusion characteristics by ship motion. Hydrogen leakage experiments were conducted under various ship motion conditions and the corresponding hydrogen concentrations for each sensor were expressed by an equation. The experimental facility was a scale model of the hydrogen fuel storage room of a ship. An experiment was conducted by implementing the roll and pitch motions of the ship as well as motion direction using a ship simulator. In the equation describing the hydrogen concentration the minimum and maximum root mean square deviations were 0.987 and 0.707 respectively and the correlations were 0.000109 and 0.0012289. Although the results differed as per the sensor location the hydrogen concentration was affected by the motion period of the ship. The experimental results and prediction equations can be useful for sensor and vent location selection by predicting the concentration when hydrogen leaks in ships in motion.

Electric scooters are used as alternative ways of transport because they easily make travel faster. However the batteries can take around 5 h to charge and have an autonomy of 30 km. With the presence of the hydrogen cell a hybrid system reduces the charging times and increases the autonomy of the vehicle by using two types of fuel. An increase of up to 80% in maximum distance and of 34% in operating times is obtained with a 1:10 scale prototype with the hydrogen cell; although more energy is withdrawn the combined fuel efficiency increases too. This suggests the cell that is used has the same behavior as some official reported vehicles which have a long range but low power. This allows concluding that use of the cell is functional for load tests and that the comparison factor obtained works as input for real-scale scooter prototypes to compete with the traditional electric scooters.

Decarbonised steel enabled by green hydrogen-based iron ore reduction and renewable electricity-based steel making will disrupt the traditional supply chain. Focusing on the energetic and techno-economic assessment of potential green supply chains this study investigates the direct reduced iron-electric arc furnace production route enabled by renewable energy and deployed in regional settings. The hypothesis that co-locating manufacturing processes with renewable energy resources would offer highest energy efficiency and cost reduction is tested through an Australia-Japan case study. The binational partnership is structured to meet Japanese steel demand (for domestic use and regional exports) and source both energy and iron ore from the Pilbara region of Western Australia. A total of 12 unique supply chains differentiated by spatial configuration timeline and energy carrier were simulated which validated the hypothesis: direct energy and ore exports to remote steel producers (i.e. Japan-based production) as opposed to co-locating iron and steel production with abundant ore and renewable energy resources (i.e. Australia-based production) increased energy consumption and the levelised cost of steel by 45% and 32% respectively when averaged across 2030 and 2050. Two decades of technological development and economies of scale realisation would be crucial; 2030 supply chains were on average 12% more energy-intense and 23% more expensive than 2050 equivalents. On energy vectors liquefied hydrogen was more efficient than ammonia for export-dominant supply chains due to the pairing of its process flexibility and the intermittent solar energy profile as well as the avoidance of the need for ammonia cracking prior to direct reduction. To mitigate the green premium a carbon tax in the range of A$66–192/t CO2 would be required in 2030 and A$0–70/t CO2 in 2050; the diminished carbon tax requirement in the latter is achievable only by wholly Australia-based production. Further the modelled system scale was immense; producing 40 Mtpa of decarbonised steel will require 74–129% of Australia’s current electricity output and A$137–328 billion in capital investment for solar power production and shipping vessel infrastructure. These results call for strategic planning of regional resource pairing to drive energy and cost efficiencies which accelerate the global decarbonisation of steel.

The study feeds into the work of the Global Hydrogen Ports Coalition launched at the latest Clean Energy Ministerial (CEM12). This important international initiative brings together ports from around the world to work together on hydrogen technologies. The planned study will be a comprehensive assessment of the hydrogen demand in ports and industrial coastal areas enabling the creation of a 'European Hydrogen Ports Roadmap'. It will also feature clear economic forecasts based on a variety of business models for the transition to renewable hydrogen in ports while presenting new case studies and project concepts. “The objective is to provide new directions for research and innovation guidance for regulation codes and standards and proposals on policy and regulation. The forthcoming study will also help create impetus for stakeholders to come together and take a long term perspective on the hydrogen transition in ports. Finally the study will be a centralized resource It will form a Europe wide hydrogen ports ' when combined with roadmaps and other materials created by individual ports.