Canada
Public Facing Safety and Education for Hydrogen Fueling Infrastructure
Sep 2023
Publication
Building safe and convenient fuelling stations is key to deploying the arrival of commercial/public-use fuel cell electric vehicles (FCEVs). As the most public-facing hydrogen applications second only to the FCEVs hydrogen stations are an efficient tool to educate the public about hydrogen safety and normalize its use to fill up our vehicles. However as an emerging technology it is the industry’s responsibility to ensure that fuelling infrastructures are designed and maintained in accordance with established safety standards and thus that the fuelling process is inherently safe for all users. On the other end it is essential that consumers have all the necessary information at reach to help them feel safe while fuelling their zero-emission vehicles.<br/>This paper will provide a snapshot of the safety systems used to help protect members of the public using hydrogen fueling stations as well as the information used to educate people using this equipment. This will cover the different processes involved in hydrogen fueling stations the dangers that are present to customers and members of the public at these sites and the engineering design choices and equipment used to mitigate these dangers or prevent them from happening. Finally this paper will discuss the crucial role of understanding the dangers of hydrogen at a public level and showing the importance of educating the public about hydrogen infrastructure so that people will feel comfortable using it in their everyday lives.
Application of Passive Autocatalytic Recombiners for Hydrogen Mitigation: 2D Numerical Modeling and Experimental Validation
Sep 2023
Publication
The widespread production and use of hydrogen (H2) requires safe handling due to its wide range of flammability and low ignition energy. In confined and semi-confined areas such as garages and tunnels a hydrogen leak will create a potential accumulation of flammable gases. Hence forced ventilation is required in such confined spaces to prevent hydrogen hazards. However this practice may incur higher operating costs and could become ineffective during a power outage. Passive Autocatalytic Recombiners (PARs) are defined as safety devices for preventing hydrogen accumulation in confined spaces. PARs have been widely adopted for hydrogen mitigation in nuclear containment buildings in worst case accident scenarios where forced ventilation is not feasible. PARs are equipped with catalyst plates that self-start due to hydrogen reacting with oxygen at relatively low concentrations (<2 vol. % H2 in air). The heat generated from the reaction creates a self-sustained flow continuously supplying the catalyst surface with fresh hydrogen and oxygen. In this study a 2D transient numerical model has been developed in COMSOL Multiphysics to simulate the operation of PARs. The model was used to analyze the effect of surface reactions on the catalyst temperature flow dynamics self-start behaviour forced versus natural convective flow and steady-state hydrogen recombination rates. The model was also used to simulate carbon monoxide poisoning and its influence on the catalyst performance. Experimental data were used for model calibration and validation showing good agreement for different conditions. Overall the model provides novel insights into PARs operation such as radiation and poisoning effects on the catalyst plate. As a next step assessment of the effectiveness of PARs is underway to mitigate hydrogen hazards in selected confined and semi-confined areas including nuclear and non-nuclear applications.
A Review of Hydrogen-based Hybrid Renewable Energy Systems: Simulation and Optimization with Artificial Intelligence
Nov 2021
Publication
With the massive use of traditional fossil fuels greenhouse gas emissions are increasing and environmental pollution is becoming an increasingly serious problem which led to an imminent energy transition. Therefore the development and application of renewable energy are particularly important. This paper reviews a wide range of issues associated with hybrid renewable energy systems (HRESs). The issues concerning system configurations energy storage options simulation and optimization with artificial intelligence are discussed in detail. Storage technology options are introduced for stand-alone (off-grid) and grid-connected (on-grid) HRESs. Different optimization methodologies including classical techniques intelligent techniques hybrid techniques and software tools for sizing system components are presented. Besides the artificial intelligence methods for optimizing the solar/wind HRESs are discussed in detail.
Critical and Strategic Materials for Electrolysers, Fuel Cells, Metal Hydrides and Hydrogen Seperation Technologies
May 2024
Publication
This paper provides an in-depth examination of critical and strategic raw materials (CRMs) and their crucial role in the development of electrolyzer and fuel cell technologies within the hydrogen economy. It methodically analyses a range of electrolyzer technologies including alkaline proton-exchange membrane solid-oxide anion-exchange membrane and proton-conducting ceramic systems. Each technology is examined for its specific CRM dependencies operational characteristics and the challenges associated with CRM availability and sustainability. The study further extends to hydrogen storage and separation technologies focusing on the materials employed in high-pressure cylinders metal hydrides and hydrogen separation processes and their CRM implications. A key aspect of this paper is its exploration of the supply and demand dynamics of CRMs offering a comprehensive view that encompasses both the present sttate and future projections. The aim is to uncover potential supply risks understand strategies and identify potential bottlenecks for materials involved in electrolyzer and fuel cell technologies addressing both current needs and future demands as well as supply. This approach is essential for the strategic planning and sustainable development of the hydrogen sector emphasizing the importance of CRMs in achieving expanded electrolyzer capacity leading up to 2050.
Synergistic Integration of Hydrogen Energy Economy with UK’s Sustainable Development Goals: A Holistic Approach to Enhancing Safety and Risk Mitigation
Oct 2023
Publication
Hydrogen is gaining prominence as a sustainable energy source in the UK aligning with the country’s commitment to advancing sustainable development across diverse sectors. However a rigorous examination of the interplay between the hydrogen economy and the Sustainable Development Goals (SDGs) is imperative. This study addresses this imperative by comprehensively assessing the risks associated with hydrogen production storage transportation and utilization. The overarching aim is to establish a robust framework that ensures the secure deployment and operation of hydrogen-based technologies within the UK’s sustainable development trajectory. Considering the unique characteristics of the UK’s energy landscape infrastructure and policy framework this paper presents practical and viable recommendations to facilitate the safe and effective integration of hydrogen energy into the UK’s SDGs. To facilitate sophisticated decision making it proposes using an advanced Decision-Making Trial and Evaluation Laboratory (DEMATEL) tool incorporating regret theory and a 2-tuple spherical linguistic environment. This tool enables a nuanced decision-making process yielding actionable insights. The analysis reveals that Incident Reporting and Learning Robust Regulatory Framework Safety Standards and Codes are pivotal safety factors. At the same time Clean Energy Access Climate Action and Industry Innovation and Infrastructure are identified as the most influential SDGs. This information provides valuable guidance for policymakers industry stakeholders and regulators. It empowers them to make well-informed strategic decisions and prioritize actions that bolster safety and sustainable development as the UK transitions towards a hydrogen-based energy system. Moreover the findings underscore the varying degrees of prominence among different SDGs. Notably SDG 13 (Climate Action) exhibits relatively lower overall distinction at 0.0066 and a Relation value of 0.0512 albeit with a substantial impact. In contrast SDG 7 (Clean Energy Access) and SDG 9 (Industry Innovation and Infrastructure) demonstrate moderate prominence levels (0.0559 and 0.0498 respectively) each with its unique influence emphasizing their critical roles in the UK’s pursuit of a sustainable hydrogen-based energy future.
Energy Performance Assessment of a Solar-driven Thermochemical Cycle Device for Green Hydrogen Production
Sep 2023
Publication
This paper presents a novel dynamic simulation model for assessing the energy performance of solar-driven systems employed in green hydrogen production. The system consists of a parabolic dish collector that focuses solar radiation on two cerium-based thermochemical reactors. The model is based on a transient finitedifference method to simulate the thermal behaviour of the system and it integrates a theoretical analysis of materials and operating principles. Different empirical data were considered for experimentally validating it: a good agreement between experimental and simulated results was obtained for the temperatures calculated inside the thermochemical reactor (R2 = 0.99 MAPE = 6.3%) and the hourly flow rates of hydrogen oxygen and carbon monoxide (R2 = 0.96 MAPE = 10%) inside the thermochemical reactor. The model was implemented in a MatLab tool for the system dynamic analysis under different boundary conditions. Subsequently to explore the capability of this approach the developed tool was used for analysing the examined device operating in twelve different weather zones. The obtained results comprise heat maps of specific crucial instants and hourly dynamic trends showing redox reaction cycles occurring into the thermochemical reactors. The yearly hydrogen production ranges from 1.19 m3 /y to 1.64 m3 /y according to the hourly incident solar radiations outdoor air temperatures and wind speeds. New graphic tools for rapid feasibility studies are presented. The developed tools and the obtained results can be useful to the basic design of this technology and for the multi-objective optimization of its layout and main design/operating parameters.
Hydrogen Energy Planning with Water Considerations: A SWITCH Model Enhancement for Sustainable Deployment
Apr 2024
Publication
This study presents an enhancement to the Switch optimization model for hydrogen energy planning by integrating the capability to consider the construction and operation of hydrogen electrolysis plants and the operation of water distribution systems. This integration was achieved through the addition of two new modules and their effectiveness is demonstrated through their application in a case study for Durham region. The study highlights the significance of incorporating water distribution systems into energy planning demonstrating how optimal locations for hydrogen plants can significantly influence water and power demand as well as alter the total operating costs. The enhanced Switch model showcases its improved capability to assist policymakers and stakeholders in transitioning towards a sustainable energy future.
Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations
May 2023
Publication
The transportation sector is a significant source of greenhouse gas emissions. Electric vehicles (EVs) have gained popularity as a solution to reduce emissions but the high load of charging stations poses a challenge to the power grid. Nuclear-Renewable Hybrid Energy Systems (N-RHES) present a promising alternative to support fast charging stations reduce grid dependency and decrease emissions. However the intermittent problem of renewable energy sources (RESs) limits their application and the synergies among different technologies have not been fully exploited. This paper proposes a predictive and adaptive control strategy to optimize the energy management of N-RHES for fast charging stations considering the integration of nuclear photovoltaics and wind turbine energy with a hydrogen storage fuel cell system. The proposed dynamic model of a fast-charging station predicts electricity consumption behavior during charging processes generating probabilistic forecasting of electricity consumption time-series profiling. Key performance indicators and sensitivity analyses illustrate the practicability of the suggested system which offers a comprehensive solution to provide reliable sustainable and low-emission energy to fast-charging stations while reducing emissions and dependency on the power grid.
Real-Time Modeling of a Solar-Driven Power Plant with Green Hydrogen, Electricity, and Fresh Water Production: Techno-Economics and Optimization
Apr 2025
Publication
Solar energy is important for the future as it provides a clean renewable source of electricity that can help combat climate change by reducing reliance on fossil fuels via implementing various solar-based energy systems. In this study a unique configuration for a parabolic-trough-based solar system is presented that allows energy storage for periods of time with insufficient solar radiation. This model based on extensive analysis in MATLAB utilizing real-time weather data demonstrates promising results with strong practical applicability. An organic Rankine cycle with a regenerative configuration is applied to produce electricity which is further utilized for hydrogen generation. A proton exchange membrane electrolysis (PEME) unit converts electricity to hydrogen a clean and versatile energy carrier since the electricity is solar based. To harness the maximum value from this system additional energy during peak times is used to produce clean water utilizing a reverse osmosis (RO) desalination unit. The system’s performance is examined by conducting a case study for the city of Antalya Turkey to attest to the unit’s credibility and performance. This system is also optimized via the Grey Wolf multi-objective algorithm from energy exergy and techno-economic perspectives. For the optimization scenario performed the energy and exergy efficiencies of the system and the levelized cost of products are found to be approximately 26.5% 28.5% and 0.106 $/kWh respectively.
Hydrogen Blending in Natural Gas Pipelines: A Comprehensive Review of Material Compatibility and Safety Considerations
Nov 2024
Publication
The increasing demand for energy and the urgent need to reduce carbon emissions have positioned hydrogen as a promising alternative. This review paper explores the potential of hydrogen blending in natural gas pipelines focusing on the compatibility of pipeline materials and the associated safety challenges. Hydrogen blending can significantly reduce carbon emissions from homes and industries as demonstrated by various projects in Canada and globally. However the introduction of hydrogen into natural gas pipelines poses risks such as hydrogenassisted materials degradation which can compromise the integrity of pipeline materials. This study reviews the effects of hydrogen on the mechanical properties of both vintage and modern pipeline steels cast iron copper aluminum stainless steel as well as plastics elastomers and odorants that compose an active natural gas pipeline network. The review highlights the need for updated codes and standards to ensure safe operation and discusses the implications of hydrogen on material selection design and safety considerations. Overall this manuscript aims to provide a comprehensive resource on the current state of pipeline materials in the context of hydrogen blending emphasizing the importance of further research to address the gaps in current knowledge and to develop robust guidelines for the integration of hydrogen into existing natural gas infrastructure.
Comparative Techno-environmental Analysis of Grey, Blue, Green/Yellow and Pale-blue Hydrogen Production
Mar 2025
Publication
Hydrogen holds immense potential to assist in the transition from fossil fuels to sustainable energy sources but its environmental impact depends on how it is produced. This study introduces the pale-blue hydrogen production method which is a hybrid approach utilizing both carbon capture and bioenergy inputs. Comparative life cycle analysis is shown for grey blue green and pale-blue hydrogen using cumulative energy demand carbon footprint (CF) and water footprint. Additionally the integration of solar-powered production methods (ground-based photovoltaic and floating photovoltaic (FPV) systems) is examined. The results showed blue hydrogen [steam methane reforming (SMR) + 56% carbon capture storage (CCS)] was 72% less green hydrogen gas membrane (GM) 75% less blue hydrogen [SMR+90%CCS] 88% less and green hydrogen FPV have 90% less CF compared to grey hydrogen. Pale-blue hydrogen [50%B-50%G] blue hydrogen (GM + plasma reactor(PR)) PV and blue hydrogen (GM + PR) FPV offset 26 48 and 52 times the emissions of grey hydrogen.
Experimental Investigation of Caprock Sealing Capacity for Underground Hydrogen Storage
Aug 2025
Publication
Hydrogen is a key energy carrier in the global transition to low-carbon systems requiring scalable and secure storage solutions. While underground hydrogen storage (UHS) in salt caverns is proven its cost and limited geographic availability have led to growing interest in depleted oil and gas reservoirs. A critical factor in evaluating these reservoirs is the sealing capacity of the overlying caprock. This study presents a novel experimental protocol for assessing caprock integrity under UHS conditions using a custom-designed core-flooding apparatus integrated with a micro-capillary flow meter. This setup enables high-resolution measurements of ultra-low permeabilities (as low as 10 nano-Darcy) flow rates (down to 10 nano-liters/hour) threshold pressure and breakthrough pressure. Benchmark tests with nitrogen and methane were followed by hydrogen experiments across caprocks with a wide range of permeability and porosity. The results demonstrate clear trends between caprock properties and sealing performance providing a quantitative framework for evaluating UHS site suitability. Hydrogen showed slightly lower threshold and breakthrough pressures compared to other gases reinforcing the need for accurate site-specific caprock evaluation. The proposed method offers a robust approach for characterizing candidate storage sites in depleted reservoirs.
Integration of a Model-based System Engineering Framework with Safety Assessment for Early Design Phases: A Case Study for Hydrogen-based Aircraft Fuel System Architecting
Feb 2025
Publication
Novel hydrogen-based aircraft concepts pose significant challenges for the system development process. This paper proposes a generic adaptable and multidisciplinary framework for integrated model-based systems engineering (MBSE) and model-based safety assessment (MBSA) for the conceptual design of complex systems. The framework employs a multi-granularity modelcentric approach whereby the architectural specification is utilized for design as well as query purposes as part of a qualitative and quantitative graphbased preliminary safety assessment. For the qualitative assessment design and safety rules based on existing standards and best practices are formalized in the model and applied to a graph-based architecture representation. Consequently the remaining architectures are quantitatively assessed using automated fault trees. This safety-integrated approach is applied to the conceptual design of a liquid hydrogen fuel system architecture as a novel uncertain and complex system with many unknown system interrelations. This paper illustrates the potential of a combined MBSE-MBSA framework to streamline complex early-stage system design and demonstrates that all qualitatively down-selected hydrogen system architecture variants also satisfy quantitative assessment. Furthermore it is shown that the design space of novel systems is also constrained by safety and certification requirements significantly reducing the number of actual feasible solutions.
The Role of Hydrogen in Integrated Assessment Models: A Review of Recent Developments
Mar 2025
Publication
Hydrogen is emerging as a crucial energy source in the global effort to reduce dependence on fossil fuels and meet climate goals. Integrating hydrogen into Integrated Assessment Models (IAMs) is essential for understanding its potential and guiding policy decisions. These models simulate various energy scenarios assess hydrogen’s impact on emissions and evaluate its economic viability. However uncertainties surrounding hydrogen technologies must be effectively addressed in their modeling. This review examines how different IAMs incorporate hydrogen technologies and their implications for decarbonization strategies and policy development considering underlying uncertainties. We begin by analyzing the configuration of the hydrogen supply chain focusing on production logistics distribution and utilization. The modeling characteristics of hydrogen integration in 12 IAM families are explored emphasizing hydrogen’s growing significance in stringent climate mitigation scenarios. Results from the literature and the AR6 database reveal gaps in the modeling of the hydrogen supply chain particularly in storage transportation and distribution. Model characteristics are critical in determining hydrogen’s share within the energy portfolio. Additionally this study underscores the importance of addressing both parametric and structural uncertainties in IAMs which are often underestimated leading to varied outcomes regarding hydrogen’s role in decarbonization strategies.
Hydrogen Production in Integration with CCUS: A Realistic Strategy towards Net Zero
Jan 2025
Publication
It is believed that hydrogen will play an essential role in energy transition and achieving the net-zero target by 2050. Currently global hydrogen production mostly relies on processing fossil fuels such as coal and natural gas commonly referred to as grey hydrogen production while releasing substantial amounts of carbon dioxide (CO2). Developing economically and technologically viable pathways for hydrogen production while eliminating CO2 emissions becomes paramount. In this critical review we examine the common grey hydrogen production techniques by analyzing their technical characteristics production efficiency and costs. We further analyze the integration of carbon capture utilization and storage (CCUS) technology establishing the zero-carbon strategy transiting from grey to blue hydrogen production with CO2 capture and either utilized or permanently stored. Today grey hydrogen production exhibits technological diversities with various commercial maturities. Most methods rely on the effectiveness of catalysts necessitating a solution to address catalyst fouling and sintering in practice. Although CCUS captures utilizes or stores CO2 during grey hydrogen production its wide application faces multiple challenges regarding the technological complexity cost and environmental benefits. It is urgent to develop technologically mature low-cost and low-energy-consumption CCUS technology implementing extensive large-scale integrated pilot projects.
Risk-based Approach for Safe Terminal Operation and Route Planning of On-road Hydrogen Distribution Network
Dec 2024
Publication
Hydrogen is a critical energy carrier in the transition to sustainable energy but its properties such as high diffusivity wide flammability range and low ignition energy present unique safety challenges during transportation. This study aims to improve on-road hydrogen transport safety by developing a dynamic traffic-dependent risk assessment framework for both Compressed Gaseous Hydrogen (CGH₂) tube trailers and Liquid Hydrogen (LH₂). A key advancement in this study is the use of dynamic occupancy data capturing variations in traffic density throughout the day instead of relying on average traffic density to estimate ignition source distribution. Additionally a qualitative Hazard and Operability (HAZOP) study was conducted for a potential central distribution terminal in Fort Saskatchewan Alberta Canada to systematically identify process hazards during the loading of hydrogen on-road carriers. Results reveal that the ignition probability for minor CGH2 leaks significantly increases with road occupancy rising from 0.003 at 0.1% to 0.149 at 5% emphasizing the importance of scheduling transport during off-peak hours Vapor Cloud Explosions (VCE) from LH2 extend up to 257 meters compared to 122.42 meters for CGH₂ underscoring the need for stricter land-use planning in densely populated areas. The analysis suggests prioritizing lower-traffic rural routes which exhibit lower release frequencies (e.g. 1.80E-05 per year) over high-traffic urban routes with higher release frequencies (e.g. 6.47E-05 per year).
Decarbonizing Arctic Mining Operations with Wind-Hydrogen Systems: Case Study of Raglan Mine
Oct 2025
Publication
This study evaluates the techno-economic feasibility of integrating wind power with hydrogen-based storage to decarbonize the Raglan Mine in northern Canada. Using HOMER simulations with real 2021 operational data six progressive scenarios were modeled ranging from partial substitution of diesel generators to complete site-wide electrification including heating transport and mining equipment. Results show that complete decarbonization (Scenario 6) is technically achievable and could avoid up to 143000 tCO2eq annually (~2.15 Mt over 15 years) but remains economically prohibitive under current technology costs. In contrast Scenario 2 Case 2 which combines solid oxide fuel cells with thermal charge controllers emerges as the most viable near-term pathway avoiding ~61000 tCO2eq annually (~0.91 Mt over 15 years) while achieving improved return on investment. A qualitative multi-criteria framework highlights this configuration as the best trade-off between technical feasibility environmental performance and economic viability. At the same time complete decarbonization remains a longer-term target contingent on cost reductions and policy support. Overall the findings provide clear evidence that hydrogen storage when coupled with wind power can deliver substantial and measurable decarbonization benefits for Arctic mining operations.
Development of a Novel Biomass-Wind Energy System for Clean Hydrogen Production along with Other Useful Products for a Residential Community
Jan 2025
Publication
The study presents the development of a novel integrated wind-biomass energy system designed for sustainable urban development leveraging municipality waste and wind power energy sources. This innovative system is capable of producing multiple forms of energy including electricity cooling heat and hydrogen addressing the diverse energy needs of urban communities. It integrates advanced thermodynamic cycles like Kalina and water electrolysis via an alkaline electrolyzer. In addition the system uniquely combines power and refrigeration while utilizing landfills as an energy source. The designed system is thermodynamically modeled using the Engineering Equation Solver and process wise simulated by the Aspen Plus software to ensure better performance. By integrating advanced thermodynamic cycles such as the Kalina and combined power and refrigeration system the overall system is designed to maximize the utilization of biomass energy content and enhances overall performance. The thermodynamic analysis results reveal that the system achieved remarkable results with an energy efficiency of 67.60% and an exergy efficiency of 59.7% demonstrating its tangible performance compared to other standalone energy systems. The refrigeration system itself achieves an energetic COP of 5.41 and an exergetic COP of 1.7. Additionally the system's hydrogen production facilitated by an alkaline electrolyzer reaches a rate of 5.38 kg/h highlighting its potential to contribute to clean hydrogen energy solutions. Moreover the exergo-environmental assessment shows that the system is environmentally friendly. The cost assessment shows that the system reaches profitability in 7 years and demonstrates growth achieving a substantial NPV of 192.39 million by 30 years highlighting its long-term financial viability.
Experimental Investigation of Using Coffee WasteDerived Activated Carbon Effectively as Sustainable Material for Hydrogen Storage
Sep 2025
Publication
This study presents the synthesis and evaluation of activated carbon derived from spent coffee grounds using three distinct activation methods namely chemical ultrasound-assisted and surface magnetized. The characterization studies of materials are used to evaluate hydrogen storage performance under varying pressure and temperature conditions. The gravimetric measurements are employed to assess the physisorption capacities while electrochemical techniques such as LSV CV and GCD evaluate hydrogen related charge storage behavior. The activation methods affect surface morphology and elemental composition of the activated carbon samples as confirmed by SEM and EDS analyses. Among the three chemically activated carbon exhibits the highest hydrogen uptake achieving 0.362 wt% at 0 ◦C and 4 kPa which is attributed to its highly porous structure. The ultrasound-assisted and surface magnetized samples exhibitmaximum capacities of 0.357 wt% and 0.339 wt% respectively. This study underlines the potential of coffee waste as a sustainable carbon precursor and introduces a dual-characterization approach.
Systematic Framework for Deep Learning-based Predictive Injection Control with Bayesian Hyperparameter Optimization for a Hydrogen/Diesel Dual-fuel Engine
Aug 2025
Publication
Climate change and global warming concerns promote interest in alternative fuels especially zero-carbon fuels like hydrogen. Modifying existing combustion engines for dual-fuel operation can decrease emissions of vehicles that are already on the road. The procedure of a deep learning-based model predictive control as a machine learning implementation practical for complex nonlinear systems with input and state constraints has been developed and tested on a hydrogen/diesel dual-fuel (HDDF) engine application. A nonlinear model predictive controller (NMPC) utilizing a deep neural network (DNN) process model is proposed to control the injected hydrogen and diesel. This DNN model has eight inputs and four outputs and has a short computational time compared to the physics-based model. The architecture and hyperparameters of the DNN model of the HDDF process are optimized through a two-stage Bayesian optimization to achieve high accuracy while minimizing the complexity of the model described. The final DNN architecture has two hidden layers with 31 and 23 neurons. A modified engine capable of HDDF operation is compared to standard diesel operation to evaluate the engine performance and emissions. During experimental engine testing the controller required an average computational time of 2 ms per cycle on a low-cost processor satisfying the real-time requirements and was faster than recurrent networks. The control performance of the DNN-NMPC for the HDDF engine showed a mean absolute error of 0.19 bar in load tracking while maximizing average hydrogen energy share (68%) and reducing emissions. Specifically the particulate matter emissions decrease by 87% compared to diesel operation.
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