Storage Options Research Articles

Electrochemical properties of a novel EDLC derived from plasticized biopolymer based electrolytes with valuable energy density close to NiMH batteries

This study introduces a novel system of solid electrolytes for electrical double-layer capacitors (EDLCs) utilizing biopolymer electrolytes with high energy density comparable to NiMH batteries. To prepare the electrolytes, a proton-conducting plasticized chitosan: poly(2-oxazoline) (POZ) with good film-forming properties was fabricated using a solution casting technique, and ammonium trifluoromethanesulfonate (NH4CF3SO3) salt was employed as a proton provider. Various glycerol concentrations were incorporated into the chitosan:POZ: NH4CF3SO3 system to enhance the ionic conductivity and fully transparent films were obtained. The impedance technique was utilized to determine the conductivity and measure the diffusion coefficient, mobility, and number density of ions. The electrochemical measurements, including linear sweep voltammetry (LSV) and cyclic voltammetry (CV), validated the high performance of the system. The EDLC was examined using galvanostatic charge-discharge (GCD) equipment, and the results revealed an energy density of 43 Wh/kg, specific capacitance of 300 F/g, and power density of 1800 W/kg over 500 cycles. These findings suggest that it is plausible to develop EDLCs that resemble batteries, making them a more desirable energy storage option for the industry.

Transitioning to Decentralized Renewable Energy in Latvia: A Comprehensive Payback Analysis

Abstract It is believed that the transition to renewable decentralized energy supply solutions (e.g., solar panels, storage of electricity in batteries) will help promote the decarbonization of the energy system. At the same time, it is expected to happen only when society is convinced of the environmental benefits and when there are enough economic incentives for it. This study analyses the economic feasibility of transitioning to decentralized renewable energy solutions, including solar panels and electricity storage, in Latvia. Our research explores potential savings of these solutions under various scenarios based on different factors, such as national NETO billing system, financial support scheme, electricity pricing, distribution network tariffs, energy storage options, as well as the impact of the battery energy storage system (BESS) discharging strategy. The results show that the potential savings can vary depending on these factors that are changing over time. Nevertheless, the rise in small-scale power generation at households shows that there is an increasingly rapid transition from centralized electricity supply to a decentralized supply system, which might indicate that society supports energy transition.

Healthcare and Cloud Computing: Exploring Opportunities, Addressing Challenges, and Charting Future Directions

Cloud computing has become a revolutionary technology in the healthcare industry, providing chances to increase patient care, simplify operations, and promote collaboration among healthcare providers. This review paper investigates the implementation of cloud computing in the healthcare industry, analyzing its prospective advantages, existing obstacles, and forthcoming advancements. The text explores the potential offered by cloud technologies, including expandable storage, data analysis, and telemedicine options, while also considering obstacles associated with data security, regulatory adherence, and interoperability. The study assesses methods for surmounting these obstacles and delineates prospective avenues for utilizing cloud computing to enhance healthcare provision and foster innovation. The suggested method exhibits robust performance in evaluating and forecasting outcomes, highlighting the potential of cloud computing to greatly revolutionize healthcare procedures, with an accuracy of 97.6%, a mean absolute error (MAE) of 0.403, and a root mean square error (RMSE) of 0.203.

Data-driven surrogate optimization for deploying heterogeneous multi-energy storage to improve demand response performance at building cluster level

Energy storage such as battery and thermal energy storage is an effective approach to shift building peak load and alleviate grid stress at a building cluster level. However, due to the heterogeneous performance of different types of storage (e.g., response speed, charge/discharge efficiency and rate, storage capacity) and highly diversified energy use patterns of individual buildings, the multi-energy storage should be properly selected and optimally designed for individual buildings to achieve effective load shifting. The optimal deployment of multi-energy storage at a cluster level is a challenging optimization problem due to the nonlinear dynamic performance of the multi-energy storage and the high dimensionality as a result of a large number of buildings. To tackle the challenges, this study proposes a data-driven surrogate optimization method that optimally deploys multi-energy storage at a cluster level to minimize the building cluster energy bill under demand response programs. The method utilizes data-driven surrogate models to accurately predict demand response performance of individual buildings with multi-energy storage. An iterative optimization with automated energy-storage-option screening is developed to optimize the multi-energy storage configurations and design parameters. For a case study including 21 buildings, by optimally deploying multi-energy storage including battery, cooling TES tank, and building-integrated TES, the method reduced the building cluster energy bill by 8%–181% as compared to baseline cases. The optimal deployment method effectively identifies the buildings with better potential to adopt demand-side management and balances the pros and cons of the energy storage options, increasing demand response incentives by 12%–31%. The proposed method can be used in practice to facilitate the deployment of energy storage and improve engagement of buildings in demand response.

Influence of precursor morphology and cathode processing on performance and cycle life of sodium-zinc chloride (Na-ZnCl2) battery cells

Replacing nickel by cheap and abundant zinc may enable high-temperature sodium-nickel chloride (Na-NiCl2) batteries to become an economically viable and environmentally sustainable option for large-scale energy storage for stationary applications. However, changing the active cathode metal significantly affects the cathode microstructure, the electrochemical reaction mechanisms, the stability of cell components, and the specific cell energy. In this study, we investigate the influence of cathode microstructure on energy efficiency and cycle life of sodium-zinc chloride (Na-ZnCl2) cells operated at 300 °C. We correlate the dis-/charge cycling performance of Na-ZnCl2 cells with the ternary ZnCl2-NaCl-AlCl3 phase diagram, and identify mass transport through the secondary NaAlCl4 electrolyte as an important contribution to the cell resistance. These insights enable the design of tailored cathode microstructures, which we apply to cells with cathode granules and cathode pellets at an areal capacity of 50 mAh/cm2. With cathode pellets, we demonstrate >200 cycles at C/5 (10 mA/cm2), transferring a total capacity of 9 Ah/cm2 at >83% energy efficiency. We identify coarsening of zinc particles in the cathode microstructure as a major cause of performance degradation in terms of a reduction in energy efficiency. Our results set a basis to further enhance Na-ZnCl2 cells, e.g., by the use of suitable additives or structural elements to stabilize the cathode microstructure.

Evaluation of mitigation of capacity decay in vanadium redox flow batteries for cation- and anion-exchange membrane by validated mathematical modelling

Vanadium redox flow battery (VRFB) is a potential electrochemical energy storage solution for residential accumulation and grid stabilization. Long-term durability, non-flammability and high overall efficiency represent the main advantages of the technology. The ion-exchange membrane, an essential component of the battery stack, is largely responsible for the efficiency of the battery and capacity losses caused by asymmetric cross-over of vanadium ions and a solvent.To mitigate these losses, we developed a mathematical model of the VRFB single-cell for both cation-exchange membrane (CEM) and anion-exchange membrane (AEM) and validated it against our own experimental data. Our model simulates the charge-discharge cycling of a VRFB single-cell under selected sets of operating conditions differing in the following parameters: applied current density, initial volume and concentration of electrolytes, arrangement of storage tanks (hydraulic shunt) and option of periodic rebalancing of electrolytes. The model includes a description of vanadium ions permeation and osmotic flux across the membrane and kinetics of electrode reactions. The hydraulic connection of electrolyte tanks appears to be the most promising mitigating strategy, reducing capacity losses by 69 % over 150 cycles when compared to standard VRFB set-up, which we have also confirmed experimentally. Moreover, by combining the operation methods, our model shows that using AEM with the hydraulic electrolyte connection and periodic rebalancing, the overall battery utilization can be increased by 80 % compared to a standard operation of VRFB using CEM. The developed model offers useful optimization tool for the construction and operation of flow batteries and can be easily adapted for other chemistries.

A numerical investigation on the utilization of a depleted natural gas field for seasonal hydrogen storage: A case study for Değirmenköy gas field

The growing interest in hydrogen (H2) within the energy sector has necessitated the development of alternative storage systems for H2. Depleted natural gas reservoirs, currently utilized for large-scale natural gas storage, are also seen as a feasible choice for storing H2. This study presents the results of numerical simulations to assess the applicability of utilizing the Değirmenköy gas field for underground hydrogen storage. The Değirmenköy gas field is onshore and depleted in the Thrace region of Türkiye. Cyclic storage simulations were run in four distinct scenarios to assess the reservoir's injection and withdrawal capacities and the H2 ratio of the withdrawn gas from the reservoir. If the injection and withdrawal flow rates are 1.5 million Sm3/day (250.0 thousand Sm3/day/well), a constant flow rate can be achieved on almost all days of the injection and withdrawal periods, and annual average H2 injection and withdrawal capacities were estimated as 221.5 million Sm3 and 177.7 million Sm3, respectively. Besides, H2 ratio of the withdrawn gas increased as storage cycles repeated and average H2 ratio increased to 88% in the last cycle. On the other hand, in the simulations performed with constant bottom hole pressure (BHP), both injection and withdrawal flow rates are quite variable during injection and withdrawal periods and peak flow rates at the beginning of each period is higher during H2 storage as compared to natural gas. Nevertheless, in both cases the flow rate gradually diminished and eventually ceased before the related period ended. Hence, it can be inferred that conducting storage operations with a steady flow rate, as opposed to a constant BHP, is deemed more suitable for the field under investigation due to the stability of flow rate. As a result, depleted natural gas reservoirs are considered a suitable option for H2 storage in large-scale, especially for applications without the need to obtain pure H2, considering their storage, injection, and withdrawal capacities.

On different collective storage schemes in energy communities with internal market

Energy communities are recognised as a valuable framework to promote penetration of renewable sources at the residential level, as well as increment the efficiency and self-sufficiency of domestic users. In such paradigms, energy storage may bring notable benefits due to its energy arbitrage and capacity to efficiently manage renewable sources. However, at the residential level, storage systems are not widely deployed and, in this regard, collective storage options may suppose an attractive alternative. From a market perspective, energy communities can be cooperative or competitive. This paper focuses on the second case when internal community markets are launched to promote competition among prosumers. In such a framework, two possible collective storage schemes are analysed. On the one hand, the so-called competitive storage paradigm, in which storage assets partake in internal markets as an independent agent. On the other hand, the so-called cooperative storage scheme, by which storage assets are centrally managed to pursue collective welfare. To this end, the day-ahead scheduling tool for the community is extended to include both collective storage arrangements, thus resulting in different complementarity models that can be efficiently solved using off-the-shelf solvers. Such complementarity models are applied to a benchmark three-prosumers community, extracting various relevant results and conclusions. Generally, it is concluded that the cooperative storage scheme is more attractive for prosumers, allowing them to reduce their bill notably. However, this scheme seems very sensitive to the storage and community size and can discourage installing high-power photovoltaic units. In this sense, the so-called competitive storage scheme, although less beneficial for prosumers, seems a more easily implementable option in communities with internal market structure.

Biogeochemical characterization of four depleted gas reservoirs for conversion into underground hydrogen storage.

Depleted gas reservoirs are a valuable option for underground hydrogen storage (UHS). However, different classes of microorganisms, which are capable of using free H2 as a reducing agent for their metabolism, inhabit deep underground formations and can potentially affect the storage. This study integrates metagenomics based on Illumina-NGS sequencing of bacterial and archaeal 16S rRNA and dsrB and mcrA functional genes to unveil the composition and the variability of indigenous microbial populations of four Italian depleted reservoirs. The obtained mcrA sequences allow us to implement the existing taxonomic database for mcrA gene sequences with newly classified sequences obtained from the Italian gas reservoirs. Moreover, the KEGG and COG predictive functional annotation was used to highlight the metabolic pathways potentially associated with hydrogenotrophic metabolisms. The analyses revealed the specificity of each reservoir microbial community, and taxonomic and functional data highlighted the presence of an enriched number of taxa, whose activity depends on both reservoir hydrochemical composition and nutrient availability, of potential relevance in the context of UHS. This study is the very first to address the profiling of the microbial population and allowed us to perform a preliminary assessment of UHS feasibility in Italy.

Tungsten doping role in structural modification and boosting electrochemical efficiency of Co(OH)2 dandelion assemblies

Globally increasing energy demands and the drastic climate changes are pursuing cost-effective and environmental friendly energy storage option i.e. supercapacitors. Tungsten (W) doping in Co(OH)2 has played an effective role in morphology changes along with improving its super capacitive properties. The 5 % W-doped Co(OH)2 revealed perfectly dandelion assemblies having size range 3–4 µm and emerging wires with ∼10 nm diameter. These dandelion assemblies exhibited pseudocapacitive behavior and excellent specific capacitance 1000 Fg−1 at 1Ag−1 and 1051 Fg−1 at 5mVs−1 which is more than twice as compared to pristine Co(OH)2. Power law (b = 0.71) exhibited capacitive nature of 5 % W-doped Co(OH)2. High cyclic stability with 92 % charge retention have been achieved for 5000 cycles. This improved electrochemical performance is attributed to the high surface area with numerous active sites, amazing Faradaic redox reactions and excellent charge transfer rate. Hence, 5 % W-Co(OH)2 dandelion assemblies are promising electrode materials for efficient supercapacitors.

Reducing Waste to Create a Sustainable Supply and usage of Pharmaceuticals

Both the environment and the healthcare budget are negatively impacted by medication waste. Therefore, one intriguing strategy to promote sustainable medicine supply and utilization is to stop the medication from going unused along the pharmaceutical chain. The goal of this scoping assessment is to determine how interested parties might work together to stop the waste of potentially useful medications. Manufacturers may help ensure a sustainable supply and usage of drugs by increasing the shelf life of their products, selecting the most environmentally friendly storage options, and modifying the size of their packaging. Distributors are responsible for optimizing stock management and relaxing shelf-life regulations. Prescribers can respond by agreeing to sensible prescribing practices, which may include taking prescription quantity and shorter length into account. Pharmacists can help by dispensing, improving pharmaceutical preparation procedures, streamlining the dispensing process, and maintaining proper stock management

A viability index for comparing the binominal return-risk of solar radiation

An insufficient amount of solar resource collected and the variability of this resource can compromise the viability of solar plant projects. For this reason, feasibility studies are usually accompanied by seasonal radiation data, which provides evidence of changes throughout the year. However, there is not a single index to quantify at the same time both elements - the amount available and the variability of the resource - which would provide a measure of the viability in a certain place to set up a solar plant. In this work, a new viability index based on the Gini coefficient (VIG) is proposed and its value is estimated for a wide region of the planet. The VIG calculates the binomial return-risk represented by the average-variance relationship. It clearly improves the results for high latitudes provided by the Sharpe index, which describes the ratio between the difference of the average return and a risk-free return and the risk in general. Finally, the article considers the storage option, drawing the value of the risk improvement index (RI) from the temporal series of the cumulated direct-normal irradiance (DNI) and an ample spectrum of constant demands. RI shows the risk improvement associated to storage of solar energy.

Thermal energy storage with flexible discharge performance based on molten-salt thermocline and thermochemical energy storage

Thermocline sensible thermal energy storage has prospects in cost-effective thermal energy storage. In this study, we combined a molten-salt thermocline with thermochemical energy storage to improve the flexibility of thermal discharge performance. For the thermochemical energy storage material, a composite was synthesized using calcium hydroxide and silicon-impregnated silicon carbide foams with an energy capacity of 1.8 MJ (0.50 kWh) and volumetric energy density of 0.79 MJ L-material−1. The composite was loaded onto an indirect fixed-bed reactor that used molten salt as the heat transfer fluid. The temperature of the composite reached 637 °C at a hydration pressure of 812 kPa. The thermochemical energy storage reactor exhibited a variable maximum outlet temperature of the heat transfer fluid in the range 524–583 °C and maximum discharge power of up to 0.6 kW (discharge power density up to 0.25 kW L-material−1) on changing the hydration pressure and flow rate of the heat transfer fluid. The results confirm the significance of thermochemical energy storage to the system in boosting the temperature of the thermocline and variable discharge performance. The novel hybrid system has a superior discharge performance compared with that of the conventional thermocline thermal energy storage, and it is a promising option for flexible large-scale energy storage and power generation driven by renewable energy.

Integrated AHP & TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection

The reliability of decision makers' judgments together with their degree of hesitancy are often ignored in decision models. The inclusion of judgments with only triangular belonging functions causes a great deal of information loss since non-belongingness functions are ignored in those decision models. In the literature, a method on how to integrate the intuitionistic reliability function into the decision maker's judgment has not been clearly proposed. To handle these issues, we aim at developing a novel intuitionistic Z-AHP (Analytic Hierarchy Process) & Z-TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) methodology in this paper. Z-numbers can be used to express uncertain quantities with different degrees of precision, which can be very useful in practical applications. Our methodology considers both the restriction function and its reliability function under intuitionistic fuzziness based on α-cut approach and uses non-linear intuitionistic belonging and unbelonging functions. We compare our approach with interval-valued fuzzy TOPSIS and conduct a sensitivity analysis to assess the effects of changes in criteria weights on the rankings of the alternatives. Our results show that the proposed methodology can effectively evaluate and rank the existing alternatives, considering the uncertainties and complexities of the decision environment. This research provides valuable insights for decision-makers and can take part in their decision support systems. The proposed methodology has been applied to a hydrogen storage technology selection problem. According to the results, the most favorable hydrogen storage option in the considered case is chemical storage alternative followed by liquid storage, compressed storage, carbon nanostructure storage, and metal–organic framework storage alternatives. The inference of the comparative analysis with intuitionistic Z-AHP and interval-valued fuzzy TOPSIS method is that the best two alternatives are same in both methodologies whereas the third and the fifth alternatives are replaced since a different linearization approach is applied to the non-linear restriction function multiplied by the reliability function.

Underground hydrogen storage in a depleted gas field for seasonal storage: A numerical case study of the Tekirdağ gas field

The growing attention towards hydrogen (H2) within the energy sector recently has necessitated the development of extensive H2 storage systems. Depleted natural gas reservoirs, which have been utilized to secure natural gas storage over an extended period, are widely regarded as a viable option for the large-scale storage of H2. This research study presents the results of numerical simulations that were conducted to analyze the seasonal storage of H2 in the Tekirdağ gas field, a relatively shallow-depth, low-pressure, and low-temperature gas field located in the Thrace region of Türkiye. The working gas capacity was estimated to be approximately 920 million standard cubic meters (Sm3) under a maximum reservoir pressure of 32 bar and a minimum reservoir pressure of 10 bar. To determine the injection and withdrawal capacities of the reservoir, the H2 ratio of the withdrawn gas, and the impact of the wells’ skin factor value on these parameters, cyclic storage simulations were conducted in three distinct cases. The estimated annual injection capacities for the final storage cycles of the three cases are 372.2 million Sm3, 276.6 million Sm3, and 419.2 million Sm3, and the obtained H2 withdrawal capacities are 347.8 million Sm3, 254.8 million Sm3, and 393.7 million Sm3, respectively. The differences in the H2 ratio of recovered gas among the three cases are especially noticeable during the initial two storage cycles. Nevertheless, similar purity values were achieved for H2 in all three cases during the last storage cycle. Based on the findings derived from the simulations, it can be inferred that depleted natural gas reservoirs offer a viable option for H2 storage in terms of both storage capacity and H2 purity. Although a negative skin factor value and subsequent high-rate withdrawal initially lead to a decrease in H2 purity, this drawback gradually diminishes over time.

An innovative approach to multi-response optimization of battery thermal management systems using multi-desirability function approach

Lithium-ion batteries are an efficient option for energy storage due to their high energy density, specific power, safety, durability, and reduced emissions. However, they require a specific temperature range and uniform temperature profile for optimal operation, which affects vehicle performance. Selecting proper thermal operating conditions to enhance the thermal performance in battery thermal management systems (BTMS) is an important area of research. The present study investigates the influences of thermal process variables on the performance characteristics of a rectangular battery arrangement (RBA) used for BTMS applications. The Box-Behnken design of response surface methodology (RSM) is used to conduct experiments and responses such as battery average temperature (TAvg) and maximum temperature (TMax) have been measured. The RSM technique is used to develop mathematical models that relate input and output parameters, and the statistical analysis of variance is used to examine factor effects on response measures. Finally, the multi-desirability function approach (MDFA) is employed to optimize both responses simultaneously. MDFA predicts that the most effective thermal processing configuration for the simultaneous anticipation of the TAvg, and TMax of an RBA involves a battery discharge rate of 3C, an air inlet velocity of 3.23 m/s, and an air inlet temperature of 9.44 °C. The corresponding outcomes for TAvg and TMax are 16 °C and 21 °C, respectively, and these optimized thermal parametric setting is confirmed through verifications tests, and they can be helpful to enhance the thermal efficiency of BTMS.

Sustainable stationary hydrogen storage application selection with interval-valued intuitionistic fuzzy AHP

The transition to a hydrogen-based economy necessitates a comprehensive evaluation of different hydrogen storage options, considering their sustainability performance. This study innovatively applies the Interval-Valued Intuitionistic Fuzzy Analytic Hierarchy Process (IVIF-AHP) to evaluate and compare four hydrogen storage options: Compressed Hydrogen Gas (CHG), Cryogenic Liquid Hydrogen (CLH), Metal Hydride (MH), and Underground Hydrogen (UH). The evaluation criteria are derived from four dimensions of sustainability: economic, environmental, social, and technical performance, each further decomposed into sub-criteria. The study's novelty lies in using a novel intuitionistic fuzzy AHP, offering a more nuanced and robust understanding of the trade-offs between the various options and effectively capturing the vagueness and subjectivity inherent in human decision-making. Through this methodology, CHG emerged as the most promising option with a preference score of 0.487, closely followed by UH with a score of 0.453. The lowest preference score was accorded to MH, with a score of 0.301. These quantitative insights underscore the relative sustainability performance of each technology under the defined criteria. The findings contribute to the growing body of literature on sustainable hydrogen storage, providing policymakers and practitioners with a multicriteria decision-making tool that captures the complexity of sustainability considerations. This study underlines the critical role of holistic, multicriteria evaluations in advancing sustainable hydrogen storage. It encourages further exploration and validation of its approach in different contexts and with updated technological advancements.

Storage of Mycobacterium tuberculosis culture isolates in MicrobankTM beads at a South African laboratory.

Mycobacterium tuberculosis complex (MTBC) isolates are typically stored at -70 °C in cryovials containing 1 mL aliquots of a liquid medium, with or without 50% glycerol. Multiple uses of the culture stock may decrease the strain viability while increasing the risk of culture contamination. Small culture aliquots may be more practical; however, storage capacity remains challenging. MicrobankTM beads (25 beads/vial) for the long-term storage of fungal cultures is well documented, but their use for storing MTBC isolates is uninvestigated. The study aimed to determine the feasibility of using MicrobankTM beads for long-term storage of MTBC isolates at a laboratory in South Africa. In February 2020, 20 isolates in liquid culture were stored in MicrobankTM beads, following an in-house developed protocol, at -70 °C. At defined time points (16 months [15 June 2021] and 21 months [18 November 2021]), two beads were retrieved from each storage vial and assessed for viability and level of contamination. Stored liquid isolates demonstrated MTBC growth within an average time-to-detection of 18 days following retrieval, even at 21 months post storage. Contaminating organisms were detected in 2 of 80 (2.5%) culture isolates. MicrobankTM beads will allow for the reculture of up to 25 culture isolates using a reduced culture volume compared to current storage methods. MicrobankTM beads represent a storage solution for the medium-term storage of MTBC isolates. This study evaluated the use of MicrobankTM beads as an alternate method for storing MTBC culture isolates at -70 °C and provided a suitable option for medium-term storage of MTBC.

Advances of lithium-ion batteries anode materials—A review

Lithium-ion battery (LIB) research and development has witnessed an immense spike in activity in recent years due to the astonishing surge in demand for portable, environmentally acceptable energy sources across various industries. This need has resulted in a significant increase in the number of companies conducting LIB research and storing electrical energy and the intrinsic features that they contain. LIBs have become the go-to alternative for storing electrical energy in portable devices and electric vehicles. These properties include a lightweight structure, a high energy density, a small size, little memory effects, an extended lifespan, and environmental friendliness. Other advantages include a longer lifespan and a reduced impact on the environment. This review thoroughly examines energy storage technology changes. It shows the move away from environmentally harmful energy sources to greener ones. It highlights the need for creative energy storage options to match our rapidly changing technological world.

Effect of distance of vertical barrier wall and release temperature on the hydrogen jet flame width and temperature distribution induced by impingement of ignited release of cryogenic hydrogen

Cryogenic storage option is one of the important ways of storing hydrogen, but under-expanded ignited releases of cryogenic hydrogen could easily lead to jet fires, causing serious damage to people and properties. Barrier walls are important means to reduce the severity of cryogenic hydrogen jet flames, however, its effect on the cryogenic hydrogen jet flame and related temperature distribution are still unclear. In this work, the effect of the distance of barrier wall (0.20, 0.25, 0.30, 0.35 and 0.40 m) and release temperature (140, 180, 220, 260 and 300 K) on the hydrogen jet flame width and temperature distribution is investigated experimentally. It is found that the flame width in the horizontal and vertical direction and the temperature on the vertical barrier wall increase with the decrease of the distance to the nozzle and release temperature. The normalized flame width and inverse excess maximum temperature on the barrier wall increases linearly with the scaled distance considering nozzle diameter and release temperature. The temperature distribution is normalized as Gaussian distribution both in the horizontal and vertical direction, while the excess temperature is higher upward than that of downward. The results can provide a theoretical basis and data support for the blocking of jet fires formed by cryogenic hydrogen ignited releases.