Publications
Human Toxicity Potential: A Lifecycle Evaluation in Current and Future Frameworks for Hydrogen-Based and Battery Electric Buses in the European Union
Sep 2025
Publication
In recent years governments have promoted the shift to low-emission transport systems with electric and hydrogen vehicles emerging as key alternatives for greener urban mobility. Evaluating zero- or near-zero tailpipe solutions requires a Lifecycle Assessment (LCA) approach accounting for emissions from energy production components and vehicle manufacturing. Such studies mainly address Greenhouse Gas (GHG) emissions while other pollutants are often overlooked. This study compares the Human Toxicity Potential (HTP) of Battery Electric Vehicles (BEVs) Fuel Cell Vehicles (FCVs) Hydrogen Internal Combustion Engine Vehicles (H2ICEVs) and hybrid H2ICEVs for public transport in the European Union. Current and future scenarios (2024 2030 2050) are examined considering evolving energy mixes and manufacturing impacts. Results underline that BEVs are characterized by the highest HTP in 2024 and that this trend is maintained even in future scenarios. As for hydrogen-based powertrains they show lower HTPs similar among them. This work underlines that current efforts must be intensified especially for BEVs to further limit harmful emissions from the mobility sector.
Aluminium-based Electrode Materials for Green Hydrogen Production through Electrolysis and Hydrolysis: A Review
Sep 2025
Publication
In recent years the utilization of aluminium (Al) Al alloys and their composite powder and anode encourages the generation of green hydrogen through hydrolysis and water splitting electrolysis with zero emissions. As such in this study the development and characterization of Al Al alloys and Al-based composite powder and compacted Al composites for clean hydrogen production using hydrolysis and water splitting processes were reviewed. Herein based on the available literature it is worth mentioning that the incorporation of active additives such as h-BN Bi@C g-C3N4 MoS2 Ni In Fe and BiOCl@CNTs in the Al-based composites using ball milling melting smelting casting and spark plasma sintering technique remarkably improved the rate of hydrogen evolution and hydrogen gas conversion yield particularly during hydrolysis of Al-water reaction. Again Al-based electrodes with improved electrical conductivity notably results in better water splitting electrolysis as well as fast chemical reaction in achieving hydrogen gas production at low energy consumption with efficiency. Though notwithstanding the significance of Al Al alloy and Al-based composite hydrogen generation performances there are still some challenges associated with the Al-based materials for hydrogen production via hydrolysis and water electrolysis. For example the low current density and poor electrochemical properties of Al which on the other hand results in long induction time high overpotential and cost remains a gap to bridge. Hence the authors concluded the review study with recommendations for future improvement of Al-based composite electrodes on hydrogen production and sustainability via hydrolysis and water electrolysis. Thus the study will pave the way for further research on clean hydrogen energy generation.
Decoupled Hydrogen Production through Hybrid Water Electrolysis Utilizing Ruthenium-tin Oxide Electrocatalyst
Oct 2025
Publication
Hybrid water electrolysis system was designed by using Ruthenium-Tin Oxide (RuSn12.4O2) electrocatalyst as anode material for efficient hydrogen production enhancing energy conversion efficiency. The RuSn12.4O2 Electrocatalyst was synthesized by hydrothermal method and exhibited exceptional activity making it an optimal choice for Iodide oxidation reaction (IOR) and enabling energy-saving hydrogen production. The two-electrode acidic electrolyzer reduced voltage consumption by 0.51 V at 10 mA cm-2 compared to oxygen evolution reaction (OER) at the same current density. This hybrid electrolysis system achieved a remarkable reduction in energy consumption of over 40 % compared to OER process. The Chrono-potentiometric test demonstrated that the RuSn12.4O2 electro-catalyst’s superior stability and low overpotential increase of 70 mV at 10 mAcm-2 . The RuSn12.4O2 electro-catalyst Tafel slope is also a crucial metric for understanding kinetic characteristics in both IOR and OER processes. Thus RuSn12.4O2 electro-catalyst in IOR has a lower Tafel slope (61 mV dec-1) than that in OER according to the Tafel slopes determined from linear sweep voltammetry (LSV) curves. Additionally at various potentials the electro-catalyst's activity toward IOR to produce hydrogen demonstrated exceptional performance in this electrolysis system without causing any catalyst degradation.
Learning from Arctic Microgrids: Cost and Resiliency Projections for Renewable Energy Expansion with Hydrogen and Battery Storage
Jun 2025
Publication
Electricity in rural Alaska is provided by more than 200 standalone microgrid systems powered predominantly by diesel generators. Incorporating renewable energy generation and storage to these systems can reduce their reliance on costly imported fuel and improve sustainability; however uncertainty remains about optimal grid architectures to minimize cost including how and when to incorporate long-duration energy storage. This study implements a novel multi-pronged approach to assess the techno-economic feasibility of future energy pathways in the community of Kotzebue which has already successfully deployed solar photovoltaics wind turbines and battery storage systems. Using real community load resource and generation data we develop a series of comparison models using the HOMER Pro software tool to evaluate microgrid architectures to meet over 90% of the annual community electricity demand with renewable generation considering both battery and hydrogen energy storage. We find that near-term planned capacity expansions in the community could enable over 50% renewable generation and reduce the total cost of energy. Additional build-outs to reach 75% renewable generation are shown to be competitive with current costs but further capacity expansion is not currently economical. We additionally include a cost sensitivity analysis and a storage capacity sizing assessment that suggest hydrogen storage may be economically viable if battery costs increase but large-scale seasonal storage via hydrogen is currently unlikely to be cost-effective nor practical for the region considered. While these findings are based on data and community priorities in Kotzebue we expect this approach to be relevant to many communities in the Arctic and Sub-Arctic regions working to improve energy reliability sustainability and security.
Microwaves in Clean Energy Technologies
Mar 2025
Publication
Energy in the microwave spectrum is increasingly applied in clean energy technologies. This review discusses recent innovations using microwave fields in hydrogen production and synthesis of new battery materials highlighting the unique properties of microwave heating. Key innovations include microwave-assisted hydrogen generation from water hydrocarbons and ammonia and the synthesis of high-performance anode and cathode materials. Microwave-assisted catalytic water splitting using Gd-doped ceria achieves efficient hydrogen production below 250°C. For hydrocarbons advanced microwave-active catalysts Fe–Ni alloys and ruthenium nanoparticles enable high conversion rates and hydrogen yields. In ammonia synthesis microwaves reduce the energy demands of the Haber–Bosch process and enhance hydrogen production efficiency using catalysts such as ruthenium and Co2Mo3N. In battery technology microwave-assisted synthesis of cathode materials like LiFePO4 and LiNi0.5Mn1.5O4 yields high-purity materials with superior electrochemical performance. Developing nanostructured and composite materials including graphene-based anodes significantly improves battery capacities and cycling stability. The ability of microwave technology to provide rapid selective heating and enhance reaction rates offers significant advancements in clean energy technologies. Ongoing research continues to bridge theoretical understanding and practical applications driving further innovations in this field. This review aims to highlight recent advances in clean energy technologies based upon the novel use of microwave energy. The potential impact of these emerging applications is now being fully understood in areas that are critical to achieving net zero and can contribute to the decarbonization of key sectors. Notable in this landscape are the sectors of hydrogen fuel and battery technologies. This review examines the role of microwaves in these areas.
An Optimal Approach to the Pre-Implementation Value Assessment of Smart Energy Systems; A 'Green' Hydrogen Case Study
Aug 2025
Publication
Smart energy systems can be used to generate additional financial value by providing flexibility to the electricity network. It is fundamental to the effective economic implementation of these systems that an assessment can be made in advance to determine available value in comparison with any additional costs. The basic premise is that there is a distinct advantage in using similar algorithms to an actual smart energy system implementation for value assessment and that this is practical in this context which is confirmed in comparison with simpler modelling methods. Analysis has been undertaken using a ‘green’ hydrogen system case study of the impact of various simplifications to the value assessment algorithms used to speed computation time without sacrificing the decisionmaking potential of the output. The results indicate that for localised energy systems with a small number of controllable assets an rolling horizon optimisation model with a significant degree of temporal and component complexity is viable for planning phase value assessment requirements and would be a similar level of complexity to a computationally suitable implementation algorithm for actual asset control decision making.
Method for Multi-criteria and Mission-specific Component Dimensioning for Heavy-duty Fuel Cell Trucks
May 2025
Publication
Heavy-duty fuel cell trucks are a promising approach to reduce the CO2 emissions of logistic fleets. Due to their higher powertrain energy density in comparison to battery-electric trucks they are especially suited for long-haul applications while transporting high payloads. Despite these great advantages the fleet integration of such vehicles is made difficult due to high costs and limited performance in thermally critical environmental conditions. These challenges are addressed in the European Union (EU) funded project ESCALATE which aims to demonstrate high-efficiency zero-emission heavy-duty vehicle (zHDV) powertrains that provide a range of 800 km without refueling or recharging. Powertrain components and their corresponding thermal components account for a large part of the production costs. For vehicle users higher costs are only acceptable if a significantly higher benefit can be achieved. Therefore it is important to size these components for the actual vehicle mission to avoid oversizing. In this paper an optimization method which determines the optimum component sizes for a given mission scenario under consideration of multiple criteria (e.g. costs performance and range) is presented.
Off-grid Shore-to-ship Power System Optimisation with a Hydrogen-in-loop Buffering Scheme Drien by Hydrokinetic Wave-wind Energy
Oct 2025
Publication
The environmentally vulnerable Arctic’s harsh climate and remote geography demand innovative green energy solutions. This study introduces a hybrid off-grid system that integrates wave and wind energy with hydrogenelectricity conversion technologies. Designed to power cruise ships at berth fuel-cell hybrid electric vehicles and residential heating the system tackles the challenge of energy variability through dual optimization schemes. External optimization identifies a cost-effective architecture achieving a net present cost of $1.1M and a levelized hydrogen cost of $20.1/kg without a fuel cell. Internal optimizations employing multi-objective game theory and HYBRID algorithms further improve performance reducing the net present cost to $666K with a levelized hydrogen cost of $13.74/kg (game theory) and $729K with a levelized hydrogen of $15.63/kg (HYBRID). A key innovation is hydrokinetic turbines which streamline the design by cutting cumulative cash flow requirements by $470K from $1.85M to $1.38M. This approach prioritizes intelligent energy management shifting reliance from variable wind and wave inputs to optimized electrolyzer and battery operations. These results underscore the feasibility of cost-effective and scalable renewable energy systems and provide a compelling blueprint for addressing energy challenges in remote and resource-constrained environments.
Scoring and Ranking Methods for Evaluating the Techno-Economic Competitiveness of Hydrogen Production Technologies
Jun 2025
Publication
This research evaluates four hydrogen (H2) production technologies via water electrolysis (WE): alkaline water electrolysis (AWE) proton exchange membrane electrolysis (PEME) anion exchange membrane electrolysis (AEME) and solid oxide electrolysis (SOE). Two scoring and ranking methods the MACBETH method and the Pugh decision matrix are utilized for this evaluation. The scoring process employs nine decision criteria: capital expenditure (CAPEX) operating expenditure (OPEX) operating efficiency (SOE) startup time (SuT) environmental impact (EI) technology readiness level (TRL) maintenance requirements (MRs) supply chain challenges (SCCs) and levelized cost of H2 (LCOH). The MACBETH method involves pairwise technology comparisons for each decision criterion using seven qualitative judgment categories which are converted into quantitative scores via M-MACBETH software (Version 3.2.0). The Pugh decision matrix benchmarks WE technologies using a baseline technology—SMR with CCS—and a three-point scoring scale (0 for the baseline +1 for better −1 for worse). Results from both methods indicate AWE as the leading H2 production technology which is followed by AEME PEME and SOE. AWE excels due to its lowest CAPEX and OPEX highest TRL and optimal operational efficiency (at ≈7 bars of pressure) which minimizes LCOH. AEME demonstrates balanced performance across the criteria. While PEME shows advantages in some areas it requires improvements in others. SOE has the most areas needing enhancement. These insights can direct future R&D efforts toward the most promising H2 production technologies to achieve the net-zero goal.
Market Potential of Hydrogen Fuel Cell Vehicles in Beijing: A Spatial Agent-based Model Approach
Oct 2025
Publication
Hydrogen fuel cell vehicles (HFCVs) are vital for advancing the hydrogen economy and decarbonizing the transportation sector. However research on HFCV market dynamics in passenger vehicles is limited especially incorporating both market competition from other vehicle types and the comprehensive supply–demand market dynamics. To bridge this gap our study proposed a spatial agent-based model to simulate the HFCV market evolution with the aim of finding effective strategies and policy implications for breaking the diffusion dilemma of the HFCV market. We calibrated the model using survey data (N=1065) collected from Beijing and evaluated its performance across five “What-If” scenarios. Results indicate that HFCVs and hydrogen stations are difficult to penetrate under the current conditions despite HFCV applicants and market share growing by 37.5% and 15.63% respectively. Consumer perceptions on cost social and environment have greater impacts on HFCV proliferation than facility availability. The HFCV purchase subsidy has much greater impact than the technological learning rate greatly accelerating its market emergence timing. Finally HFCVs’ diffusion significantly influences the market of battery electric vehicles.
Electrospun Metal Hydride-polymer Nanocomposite Fibers for Enhanced Hydrogen Storage and Kinetics
Oct 2025
Publication
One of the key elements in the advancement of hydrogen (H2) and fuel cell technologies is to store H2 effectively for use in various industries such as transportation defense portable electronics and energy. Because of its highest energy density availability and environmental and health benefits H2 stands as a promising future energy carrier. Currently enterprises are searching for a solution for energy distribution management and H2 gas storage. Thus there is a need to develop an innovative solution to H2 storage that might be considered for later use in aviation applications. This study aims to synthesize an electrospun nanocomposite fiber (NCF) for an H2 storage application and to understand the absorption kinetics of the resultant highly porous NCF mats. This study incorporates functional NCFs with H2-sensitive inclusions to increase the storage capacity and absorption/desorption kinetics of H2 gas at lower temperatures and pressures. Here the electrospinning technique is utilized to produce NCFs with various nanoscale metal hydrides (MHs) and conductive particles which support enhancing H2 storage capacity and kinetics. These NCFs enable controlled H2 storage and improve thermal properties. Selected polymeric materials for H2 storage that have been investigated are polyacrylonitrile (PAN) polymethyl methacrylate (PMMA) and sulfonated polyether ether ketone (SPEEK) in combination with MHs and multiwalled carbon nanotubes (MWCNTs). On testing it was observed that H2 capacity with SPEEK which includes 4 wt% MWCNTs and 4 wt% MH MmNi4.5Fe0.5 shows significant H2 uptake compared to a PAN/PMMA polymer.
Predict the Performance of Hydrogen Fueled Vehicle and their Refueling tation through the Data Analysis Based Approach
Jun 2025
Publication
The widespread adoption of hydrogen-fueled vehicles (HFVs) and the deployment of Hydrogen Refueling Stations (HRS) hinge on the ability to accurately predict system performance and ensure operational reliability. This study proposes a novel predictive framework integrating mathematical modeling state-space analysis and advanced data mining techniques supported by reliability analysis to evaluate the performance of HFVs and their associated refueling infrastructure. Utilizing a public dataset of 500 real-time operational data points key performance indicators are statistically analyzed. A significant negative correlation (r = −0.56) between hydrogen consumption and maximum vehicle range is identified highlighting that improved hydrogen efficiency directly extends travel range. The average maximum range is 555.21 km with a standard deviation of 87.09 km and a median of 563.65 km indicating strong consistency across vehicles. These findings underscore the importance of optimizing fuel efficiency to enhance system sustainability and inform the design and operation of next-generation hydrogen mobility solutions. The proposed approach offers a robust foundation for performance forecasting infrastructure planning and policy development in hydrogen-based transportation systems.
Presumptions for the Integration of Green Hydrogen and Biomethane Production in Wastewater Treatment Plants
Jul 2025
Publication
Achieving climate neutrality goals is inseparable from the sustainable development of modern cities. Municipal wastewater treatment plants (WWTP) are among the starting points when moving cities to Net-zero Greenhouse Gas (GHG) emissions and climate neutrality. This study focuses on the analysis of the integration of green hydrogen (H2) and biomethane technologies in WWTPs and on the impact of this integration on WWTPs’ energy neutrality. This study treats WWTP as an integrated energy system with certain inputs and outputs. Currently such systems in most cases have a significantly negative energy balance and in addition fossil fuel energy sources are used. Key findings highlight that the integration of green hydrogen production in WWTPs and the efficient utilization of electrolysis by-products can make such energy systems neutral or even positive. This study provides an analysis of the main technical presumptions for the successful integration of green hydrogen and biomethane production processes in WWTP. Furthermore a case study of a real wastewater treatment plant is presented.
Integrated Renewable Energy Supply Architecture for Advancing Hydrogen Symbiosis and Eco Synergistic Smart Grid Interactions with Next Generation Combustion Technologies
Jul 2025
Publication
This study introduces the Smart Grid Hybrid Electrolysis-and-Combustion System (SGHE-CS) designed to seamlessly integrate hydrogen production storage and utilization within smart grid operations to maximize renewable energy use and maintain grid stability. The system achieves a hydrogen production efficiency of 98.5% indicating the effective conversion rate of electrical energy to hydrogen via PEM electrolysis. Combustion efficiency reaches 98.1% reflecting the proportion of hydrogen energy successfully converted into usable power through advanced staged combustion. Storage and transportation efficiency is 96.3% accounting for energy losses during hydrogen compression storage and delivery. Renewable integration efficiency is 97.3% representing the system’s capacity to utilize variable renewable energy inputs without curtailment. Operational versatility is 99.3% denoting the system’s ability to maintain high performance across load demands and grid conditions. Real-time monitoring and adaptive control strategies ensure reliability and resilience positioning SGHE-CS as a promising solution for sustainable low-carbon energy infrastructure.
Investigation on Cooling Effect of Water Sprays on Tunnel Fires of Hydrogen
Sep 2025
Publication
As one of the most promising renewable green energies hydrogen power is a popularly accepted option to drive automobiles. Commercial application of fuel cell vehicles has been started since 2015. More and more hydrogen safety concerns have been considered for years. Tunnels are an important part of traffic infrastructure with a mostly confined feature. A hydrogen leak followed possibly by a hydrogen fire is a potential accident scenario which can be triggered trivially by a car accident while hydrogen-powered vehicles operate in a tunnel. Water spray is recommended traditionally as a mitigation measure against tunnel fires. The interaction between water spray and hydrogen fire is studied by way of numerical simulations. By using the computer program of Fire Dynamics Simulator (FDS) tunnel fires of released hydrogen in different scales are simulated coupled with water droplet injections featured in different droplet sizes or varying mass flow rates. The cooling effect of spray on hot gases of hydrogen fires is apparently observed in the simulations. However in some circumstances the turbulence intensified by the water injection can prompt hydrogen combustion which is a negative side effect of the spray.
Performance Assessment and Predictive Modeling of a Hybrid Hydrogen-Natural Gas Water Heater Using Experimental Data and Machine Learning
Aug 2025
Publication
In response to the global need to reduce greenhouse gas emissions and advance the decarbonization of thermal energy systems this study evaluates the performance of a tankless water heater operating with hydrogen–natural gas blends. The objective is to improve thermal efficiency and reduce pollutant emissions without requiring major modifications to existing equipment. Experimental tests were conducted at three thermal power levels (35 40 and 45 kW) and four hydrogen volume fractions (0% 20% 40% and 60%) analyzing operational variables such as temperatures flow rates efficiency and NOx emissions. Results show that efficiency increases with hydrogen content particularly at lower power levels reaching a maximum of 56%. NOx emissions tend to rise with both power and hydrogen fraction although this effect can be mitigated by controlling the water flow rate. In addition machine learning models were trained to predict efficiency and emissions with the scaled Support Vector Regression (SVR) model achieving R² values above 90% for both outputs. This approach not only enables system optimization but also represents a step toward the implementation of digital twins and opens the door to monitoring indirect variables offering broad potential for predictive applications in thermal equipment.
Bibliometric Analysis of Hydrogen-Powered Vehicle Safety and Reliability Research: Trends, Impact, and Future Directions
Jun 2025
Publication
Research on and the demand for hydrogen-powered vehicles have grown significantly over the past two decades as a solution for sustainable transportation. Bibliometric analysis helps to assess research trends key contributions and the impact of studies focused on the safety and reliability of hydrogen-powered vehicles. This study provides a novel methodology for bibliometric analysis that systematically evaluates the global research landscape on hydrogen-powered vehicle reliability using Scopus-indexed publication data (1965 to 2024). Eighteen key parameters were identified for this study that are often used by researchers for the bibliometric analysis of hydrogen-related studies. Data analytics VOSviewer-based visualization and research impact indicators were integrated to comprehensively assess publication trends key contributors and citation networks. The analysis revealed that hydrogen-powered vehicle reliability research has experienced significant growth over the past two decades with leading contributions from high-impact journals renowned institutions and influential authors. The present study emphasizes the significance of greater funding as well as open-access distribution. Furthermore while major worldwide institutions have significant institutional relationships there are gaps in real-world hydrogen infrastructure evaluations large-scale experimental validation and policy-driven research.
Estimating Thermal Radiation of Vertical Jet Fires of Hydrogen Pipeline Based on Linear Integral and Machine Learning
Oct 2025
Publication
Accurate and efficient prediction of thermal radiant of hydrogen jet fire is important to schedule safety design and emergency rescue program for hydrogen pipelines. In response this paper proposes a novel Optuna-improved back propagation neural network (Optuna-BPNN) to estimate hydrogen jet flame radiation. A linear integral approach incorporating leakage rate and jet flame length is theoretically derived to establish dataset for machine learning. Then the Optuna tool is employed to optimize the initial weights and thresholds of the BP neural network. Input matrix of the Optuna-BPNN model includes pipeline diameter leakage aperture size and hydrogen pressure. 8 sets of experimental data are employed to verify its correctness. When the abnormal data is excluded the predicted thermal radiation of hydrogen jet fire agrees quite well with experimental results with average and maximum deviations being 12.4% and 24.4% respectively. Using the linear integral approach 32670 thermal radiation data points are generated to train and test the Optuna-BPNN model. The maximum deviation between predicted and theoretical radiant heat flux for training and testing sets are only 4.5% and 6.2% respectively. Parallel comparison trials using 6 different machine learning algorithms show that the Optuna-BPNN model gives the best mean absolute error root mean square error and determination coefficient which proves the effectiveness and feasibility of the developed OptunaBPNN model in predicting thermal radiation of hydrogen pipeline jet fires.
From Grey to "Green": Modelling the Non-energy Uses of Hydrogen for the EU Energy Transition
Jun 2025
Publication
Hydrogen (H2) used as feedstock (i.e. as raw material) in chemicals refineries and steel is currently produced from fossil fuels thus leading to significant carbon dioxide (CO2) emissions. As these hard-to-abate sectors have limited electrification alternatives H2 produced by electrolysis offers a potential option for decarbonising them. Existing modelling analyses to date provide limited insights due to their predominant use of sector-specific static non-recursive and non-open models. This paper advances research by presenting a dynamic recursive open-access energy model using System Dynamics to study long-term systemic and environmental impacts of transitioning from fossil-based methods to electrolytic H2 production for industrial feedstock. The regional model adopts a bottom-up approach and is applied to the EU across five innovative decarbonisation scenarios including varying technological transition speeds and a paradigm-shift scenario (Degrowth). Our results indicate that assuming continued H2 demand trends and large-scale electrolytic H2 deployment by 2030 grid decarbonisation in the EU must accelerate to ensure green H2 for industrial feedstock emits less CO2 than fossil fuel methods doubling the current pace. Otherwise electrolytic H2 won’t offer clear CO2 reduction benefits until 2040. The most effective CO2 emission mitigation occurs in growth-oriented ambitious decarbonisation (− 91 %) and Degrowth (− 97 %) scenarios. From a sectoral perspective H2 use in steel industry achieves significantly greater decarbonisation (− 97 %). However meeting electricity demand for electrolytic H2 (700–1180 TWh in 2050 for 14–22.5 Mtons) in growth-oriented scenarios would require 25 %–42 % of the EU’s current electricity generation exceeding current renewable capacity and placing significant pressure on future power system development.
A Comprehensive Review of Sustainable Energy Systems in the Context of the German Energy Transition Part 2: Renewable Energy and Storage Technologies
Sep 2025
Publication
As a continuation of part 1 which examined the development status and system foundations of sustainable energy systems (SES) in the context of German energy transition this paper provides a comprehensive review of the core technologies enabling the development of SES. It covers recent advances in photovoltaic (PV) wind energy geo‑ thermal energy hydrogen and energy storage. Key trends include the evolution of high-efficiency solar and wind technologies intelligent control systems sector coupling through hydrogen integration and the diversification of electrochemical and mechanical storage solutions. Together these innovations are fostering a more flexible resil‑ ient and low-carbon energy infrastructure. The review further highlights the importance of system-level integration by linking generation conversion and storage to address the intermittency of renewable energy and support longterm decarbonization goals.
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