Browse Topic: Storage

Items (1,336)
The rotary storage mechanism is a critical component responsible for transferring cylindrical units. To accurately simulate the nonlinear dynamics characteristics of the rotary storage mechanism, a dynamics model incorporating uncertain parameters is established based on the Lagrange method. Utilizing an optimization approach, uncertain parameters of the rotary storage mechanism are identified based on test data. The Stellar Oscillation Optimization (SOO) algorithm is employed, which balances exploration and exploitation by simulating the periodic expansion and contraction of stars to achieve optimal solutions. The results show that the output of the identified dynamics model under two operating conditions closely matches the test data, validating the accuracy of the model and the effectiveness of the identification process. This provides strong support for subsequent reliability analysis and fault diagnosis studies of the rotary storage mechanism.
Li, AngChen, GuangsongHuang, PengLi, Hanning
In the process of replacing the rollers of the fabric cart of the tobacco storage cabinet, in order to solve the problems of low replacement efficiency and high safety risk.This article proposes a specialized lifting tool for fabric cart rollers with a self-locking and adopts the screw lifting structure, which facilitates roller maintenance operations, and conducts SolidWorks Simulation calculations and dynamic simulation methods. Jinan Cigarette Factory fine cigarettes special line leaf silk temporary storage cabinet fabric car roller replacement, for example, the results show that: the average operating personnel reduced by 50%, the replacement time from 6.7h to 1.2h, efficiency increased by 458%, This innovation significantly reduces the labor intensity of maintenance personnel and ensures a safe and reliable replacement process.
Zhang, LeiXue, YifeiZhang, GeSun, YanzhaoWang, HongbinCheng, Linfeng
To precisely simulate the nonlinear dynamic characteristics of a robotic arm grasping cylindrical objects from storage units, this study establishes a dynamic model of the robotic grasping process incorporating Coulomb and viscous friction models to characterize frictional properties. Furthermore, to effectively identify unknown parameters in the dynamic model, a parameter identification method based on the Superb Fairy-wren Optimization Algorithm (SFOA) is proposed. The root-mean-square error (RMSE) between the displacement responses from the dynamic model and the experimentally acquired displacement data serves as the optimization objective. Multiple sets of experimental data are utilized to identify the unknown parameters of the dynamic model. The results demonstrate that when the identified parameters are applied to the dynamic model, the goodness-of-fit between the model’s response displacement data and the experimental displacement data exceeds 0.999. This validates the effectiveness and accuracy of the proposed method for identifying unknown parameters in dynamic models.
Shen, ShaofengYang, LiuWang, ZihanHan, Qunyi
This article focuses on a wide range of high-precision storage and supply systems. Under the rated flow rate of 2.928 mg / s of the proportional flow controller, the instantaneous flow fluctuation range of the BangBang valve reaches 2.963 mg / s, exceeding the control accuracy requirement of 1% for the proportional flow controller. By establishing mathematical models of the BangBang valve, proportional valve, and proportional flow controller for simulation analysis, the trend of the simulation results is consistent with the experimental results. Furthermore, considering the spatial layout and weight of the storage and supply system, this paper proposes a method to improve the accuracy of flow output by adding 180 mL of air capacity between the proportional valve and the proportional flow controller. Ultimately, the maximum flow fluctuation of the proportional flow controller at the moment of the BangBang valve opening and closing is 2.941 mg / s, which meets the control accuracy of the proportional flow controller. Moreover, the error between the output flow rate of the proportional flow controller and the rated working flow rate is minor after increasing the air capacity.
Li, ZhongYan, ZelongHuang, Tiankun
Solar seasonal thermal energy storage technology is an important means to solve the problem of seasonal uneven distribution of solar resources, and as the core component, the thermal storage capacity of the water pit directly affects the performance of the whole system. Accurately mastering the water pit temperature is essential for scientifically evaluating its thermal storage capacity. Based on the thermal storage water pit simulation software developed in the laboratory, this study focuses on determining the optimal number of temperature measurement points required for seasonal thermal energy storage water pits under an accuracy requirement of ±0.1°C, and establishes the mathematical relationship between the number of measurement points and the height-diameter ratio (H/D) as well as the inlet position. The proposed method can cover the temperature measurement point design for cylindrical and frustum-shaped water pits, and can also be referenced for prism-shaped configurations. Combined with the thermal performance analysis of the Huangdi City Phase II seasonal thermal energy storage project, the applicability of the mathematical relationship has been verified. The optimal number of measurement points obtained in this study provides effective suggestions for the scientific design of water pit temperature measurement systems.
Niu, PengbinMa, JianfuWang, FangxingQi, Shiyu
As the global pursuit of carbon neutrality accelerates, carbon capture, utilization, and storage (CCUS) technology is emerging as a critical strategic pillar for achieving significant emission reductions and facilitating the transition to green development. This review systematically summarizes the principal technological pathways and recent advances in carbon capture, resource utilization, and storage within CCUS systems, with particular attention to innovative directions including advanced adsorption and separation materials, synergistic catalytic conversion, biological carbon sequestration, and mineralization-based storage. By examining representative engineering practices and industrialization cases both domestically and internationally, this paper summarizes the major challenges currently facing CCUS, including material costs, energy consumption, environmental risks, and large-scale deployment. The positive impacts of interdisciplinary integration, process system optimization, and policy coordination on the commercialization of CCUS are also discussed. The review indicates that overcoming bottlenecks in core materials and process technologies, improving regulatory frameworks and market mechanisms, and establishing clustered industrial ecosystems are essential for CCUS to spearhead the forthcoming low-carbon energy and green industrial revolutions. This paper envisions future development trends for CCUS technology, highlights its multidimensional strategic value for global carbon governance, energy security, and the circular economy, and offers theoretical references and cutting-edge insights for scientific research, policy formulation, and industrial decision-making in related fields.
Wang, Yingfei
This Purchasing Specification, AMS6885/3, specifies the batch release and delivery requirements for unidirectional carbon fiber tape epoxy prepreg used for repair. This specification is applicable only when the unidirectional carbon fiber tape epoxy prepreg is used as part of the repair system defined in AMS6885 and AMS6885/1. This specification also defines the procedure and requirements for storage life extension of materials purchased against this specification. It is only applicable for materials qualified against AMS6885 (refer to PRI-QPL-AMS6885) and shall be carried out within the responsibility of the purchaser and under control of its Quality organisation.
AMS CACRC Commercial Aircraft Composite Repair Committee
The applicability of three-way catalyst (TWC) models for system-level aftertreatment simulations under transient operating conditions of natural gas engines depend on accurate integration of reaction kinetics as a function of the air-fuel equivalence ratio lambda(λ). A comprehensive global kinetic model has been developed for an aged commercial three-way catalyst (TWC), incorporating key reaction pathways including oxidation of CO, CH₄, C₂H₆, and H₂; reforming of CH₄ and C₂H₆; the water-gas shift reaction; and NO reduction via CO and H₂. The model also accounts for oxygen storage capacity (OSC) and its dynamic interaction with CO and H₂. To calibrate kinetic parameters, systematic bench-scale flow reactor experiments were conducted under lean, stoichiometric, and rich conditions. Performance metrics focused on CH₄ and C₂H₆ oxidation and reforming across varying O₂ and CO concentrations, and NO reduction with CO and H₂ under different oxygen levels. Experimental results revealed that CO suppresses the reforming of CH₄ and C₂H₆. NO conversion was observed between 150°C and 600°C, with H₂-driven reduction producing NH₃, N₂, and N₂O depending on lambda (λ). Under rich conditions, complete NO conversion occurred from 150°C, while lean conditions showed reduced NO conversion at elevated temperatures due to H₂ oxidation. NO reduction with CO initiated at 250°C, achieving full conversion under rich conditions. The model accurately captures the influence of λ on NO reduction with both H₂ and CO, predicts NH₃ formation under rich conditions, and simulates H₂ generation via the water-gas shift reaction above 400°C. It successfully reproduces λ sweep data (λ = 0.95–1.02) and demonstrates CO inhibition effects on H₂ oxidation and NO reduction. This global model is validated with dithering reactor data and qualitatively captures key trends in data which aids in catalyst sizing, calibration robustness and the system level modeling of end of useful life parts. Further validation of the current developed model with lean-rich cycle tests confirms the model’s ability to predict NOx slip at the onset of rich cycles impacting the ability to accurately predict NOx emissions during engine braking events in system level models.
Raj, RichaKim, Mi-YoungAigbiremolen, GraceSrinivasan, Anand
As regulatory frameworks for zero-emission vehicles (ZEVs) and battery electric vehicles (BEVs) continue to evolve, there is growing emphasis on monitoring battery durability and usage throughout the vehicle lifecycle. These regulations increasingly specify the use of data monitors and tracking mechanisms to assess battery health and performance. In addition, regulations require anti tampering mechanisms especially for monitors that have external write access. Historically, regulations focused primarily on vehicle warranty; however, with the introduction of battery durability monitors, clarity is needed for the new battery durability monitors. More specifically if the battery durability monitors track with the lifetime of the vehicle or if they follow the lifetime of the battery. Furthermore, current regulations provide no guidance on high-voltage (HV) traction battery service strategies or methods to protect monitors from tampering by external customers. This paper will classify battery durability tracking parameters (DIDs) according to whether they align to the lifetime of the vehicle or the battery itself. Building on this classification, a service strategy is proposed that considers typical vehicle architectures: when the battery management Electrical Computer Unit (ECU) is fully integrated with or separated from the high voltage traction (HV) battery. The outlined service strategy not only supports regulatory compliance, but also enhances data integrity by mitigating the risk of tampering with monitored parameters through a Digital Twin framework. More specifically, the Digital Twin framework introduces redundant storage of critical information in multiple storage locations such as ECUs and then a mechanism for correlating that critical information to determine a mismatch. This approach anticipates future requirements for tamper-proofing and ensures secure, reliable tracking of battery durability metrics through redundant ECU storage.
Laskowsky, PatriciaBunnell, JustinZettel, AndrewAlbarran, Josue
Blending natural gas (NG) with hydrogen (H₂) can improve combustion and engine performance while potentially facilitating the catalytic conversion of methane and other pollutants, resulting in cleaner tailpipe emissions. This study evaluates the impact of H2 on the conversion of methane, CO, and NOx emissions on a commercial three-way catalyst (TWC) in a flow reactor using synthetic gas mixtures that simulate stoichiometric engine exhausts with NG or NG+H₂ combustion. The work examines whether, and how, the additional amount of H₂ in the exhaust stream affects the conversion efficiency of methane and other pollutants. Experiments were conducted with both degreened and aged catalysts under controlled conditions, systematically varying temperature, the air-to-fuel equivalence ratio (λ), and λ modulation. Test conditions covered λ values from 0.996 to 1.000 to represent nominally stoichiometric engine operation with different λ modulation amplitudes, as well as a range of temperatures to inform control strategies for effective CH₄, CO, and NOₓ reduction. Overall, the results show that hydrogen addition significantly improves the conversion efficiency of CH₄ and NOₓ, particularly at temperatures below 500 °C. More significantly, this study highlights that exhaust gas composition, operating temperature, λ management, and the oxygen storage capacity of the TWC all play major roles in affecting the tailpipe emissions from NG and NG+H₂ combustion.
Prikhodko, VitalyWang, MinPark, YeonshilChen, Hai-YingPihl, Josh
Three-way catalytic converters (TWC) are one of the most popular methods to help reduce harmful tailpipe emissions emitted from internal combustion (IC) vehicles. To help improve conversion efficiency, TWCs can store and release oxygen via an oxygen storage capacity (OSC) mechanism. During engine control unit (ECU) calibration, on board OSC measurements are correlated to TWC and vehicle emissions to monitor emissions performance throughout the full useful life (FUL) of the vehicle. It is known that different test conditions, including temperature, space velocity and background gases in the exhaust stream affect OSC measurement, potentially altering the calculated OSC values and thus the perceived level of OSC and emissions preformance during operation. This study utilises an OMEGA test bench to complete OSC measurements on the full-scale automotive catalyst samples to quantify the effects of different background gases including carbon monoxide, hydrocarbons and nitric oxide on OSC measurements, concluding that all background gases studied affect measured OSC values. The study revealed that hydrocarbons had the largest effect on OSC measurement increasing OSC values by up to 50%. It was concluded that the increase in OSC measurement with injected hydrocarbons was due to the breakdown of hydrocarbons on the catalyst surface during rich periods of operation increasing the amount of oxygen required to fully oxidise the catalyst resulting in a larger perceived OSC measurement. During the initial ECU calibration original equipment manufacturers (OEM) should consider these effects on OSC measurement and understand how this will affect perceived OSC and vehicle emissions performance for FUL and onboard diagnostics (OBD) applications. This will help ensure emissions compliance and guide optimized catalyst and engine calibrations.
Mc Grane, LiamDouglas, RoyIrwin, KurtisWoods, AndrewElliott, MatthewIstrate, OanaNockemann, Peter
Diesel aftertreatment systems continue to play a critical role in compliance of tailpipe criteria pollutant compliance for commercial transportation applications. Quantification of performance of the aftertreatment system in particular Selective Catalytic Reduction component as a function of aging is critical in ensuring real world tailpipe NOx standard for aged systems. As part of A2CAT-II consortium at Southwest research Institute this aspect of the production AT system was studied for different aging conditions using a set of DAAAC aged components. The performance of these aged components was quantified through a set of steady state reactor tests and transient ECTO burner lab tests that simulate on engine performance. The data was collected at 0, 33 and 100% equivalent aging conditions and this data was used to develop a GT suite-based model with a set of inhibition factors to simulate the loss of Ammonia Storage Capacity and reduced SCR reaction rates caused by thermal load and chemical poisons. A quantitative and qualitative discussion of the degradation mechanism is presented based on the inhibition factors determined as part of the simulation study. Primary mechanism of performance degradation for fully aged component consisted of a 12% drop in ammonia storage capacity and a 10% and 12% drop in standard and fast SCR reaction rates leading to reduced NOx conversion rate. Due to catalyst degradation up to 11% reduced NH3 oxidation rate was observed which led to increased NOx conversion for temperatures above 350C. These trends can have a significant impact of systems designed for ultra low NOx standards by EPA and CARB which require precise control over NOx conversion of the system.
Chundru, Venkata RajeshSharp, ChristopherGankov, StanislavEakle, Scott
Direct Current (DC) fast charging enables supply of megawatt (MW) scale DC power to the large battery systems of Heavy-Duty Electric Vehicles (HDEVs), such as electric trucks, buses, ferry and construction machinery. This contrasts with Alternating Current (AC) charging, which is limited by the capacity of the On-Board Charger (OBC) that converts AC to DC to charge the battery. In DC fast charging, however, the Electric Vehicle Supply Equipment (EVSE) delivers DC power directly to the HDEVs, bypassing the OBC. The feasibility of fast DC charging has been driven by advancements in semiconductor technology offering higher voltage and current handling capabilities as well as improvements in battery energy density. Ongoing research indicates continued growth in both semiconductor power handling and battery storage capacity, further strengthening the case for fast DC charging. Key benefits include significantly higher charging efficiency, drastically reduced charging times, and lower driver fatigue. However, unlike AC systems, DC based charging infrastructure presents unique protection challenges. These challenges arise from the absence of natural current zero-crossings of DC current and the limited commercial availability of pure DC breakers. This paper presents a concise review of existing protection technologies applicable to DC fast-charging infrastructure, identifying critical gaps in current approaches and evaluating potential solutions for Low Voltage (LV, <1.5 kV) and Medium Voltage (MV, 1.5–35 kV) DC applications. Then a downsized 10 kW prototype of an Ultra-Fast Active Resonance Current Source-Based Hybrid DC Circuit Breaker (UFRDCB) has been developed and experimentally validated as a proof of concept. The prototype successfully interrupts a 1 kA continuous DC current in less than 500 μs, and the corresponding test results are presented and discussed. Finally, the paper outlines a forward-looking roadmap for advancing protection technologies that are critical to the safe and reliable operation of megawatt-scale DC fast-charging infrastructure for HDEVs in the United States and globally.
Rahman, Md Rakib-UrDobrzynski, Daniel
Crashes involving passenger vehicles increasingly include vehicles equipped with infotainment systems that are unsupported by commercial vehicle system forensics hardware and software. Examiners facing these systems must overcome challenges in acquiring and analyzing user data, requiring an understanding of both digital forensics principles and the proprietary characteristics of the modules. This paper presents a methodology for acquiring data from previously unsupported Lexus infotainment modules, including techniques to bypass CMD42 security locks on SD cards and extract data. Once acquired, the paper outlines methods for analyzing user data through data carving techniques, enabling recovery of information from binary images even when the full file system cannot be reconstructed. Emphasis is placed on maintaining the integrity of the evidence and validating findings through controlled testing. These validation procedures ensure that the recovered information is both accurate and admissible, providing examiners with actionable intelligence relevant to crash reconstruction and related investigations. A detailed case study demonstrates the application of these methods on an exemplary Lexus infotainment module, illustrating the technical process of bypassing security restrictions, recovering user data, and analyzing the information to uncover relevant insights. Key considerations include correlating extracted data, verifying data integrity, and adapting general forensic principles to a previously unexamined platform. By sharing these findings, the paper provides a roadmap for examiners encountering unsupported vehicle systems, offering practical guidance for overcoming security mechanisms, performing advanced data recovery, and validating results through documented testing. Lessons learned from this work contribute to the broader understanding of automotive digital forensics and underscore the importance of innovative approaches when confronting emerging technologies and proprietary storage protections.
Burgess, Shanon
Emission norms have become much more stringent to reduce emissions from vehicles. Diesel engines in particular are the predominant contributors to higher emissions. Diesel Oxidation Catalyst (DOC) in diesel engine catalytic converter systems is the crucial component in reducing harmful emissions such as Carbon Monoxide (CO) and unburnt Hydrocarbons (HC). DOCs often rely on expensive noble metals like platinum, palladium, and rhodium as catalyst materials. This significantly raises the cost of emission control units. The proposed idea is to explore MnO2-CeO₂ (Manganese Oxide, Cerium Oxide) as an alternative catalyst to traditional DOC materials. The goal is to deliver effective oxidation performance while reducing overall system cost. MnO2-CeO₂ catalysts are promising because of their good low-temperature activity, oxygen storage capacity, and redox behavior. These features are helpful for diesel engines that operate under various conditions. They improve the oxidation of CO and HC, even during cold starts or at lower exhaust temperatures. The catalyst was successfully synthesized and applied to a honeycomb substrate, resulting in a fabricated catalytic converter prototype. Quantitatively, the fabricated MnO₂–CeO₂ coated prototype demonstrated a 43% reduction in CO, 47% reduction in HC, 27% reduction in NOx, and 41% reduction in PM during low-temperature exhaust testing (150 – 400 °C) during testing on a 1.5 L diesel engine. The results were based on repeated experimental runs using an uncoated substrate as baseline. The work also focuses on material accessibility and environmental sustainability by using non-noble, widely available metal oxides. The hypothesis of this study is that a MnO₂–CeO₂ catalyst synthesized via co-precipitation can deliver meaningful low-temperature oxidation performance at significantly lower cost compared to PGM-based DOCs. Thus, the project contributes a significant step toward developing more accessible and sustainable emission control technologies for the automotive industry.
C, JegadheesanT, KarthiRajendran, PawanMuruganantham, KowshiikS, Vaitheeshwaran
High Voltage cables and terminals are prone to high temperatures and rapid heat generation due to high current ratings, especially in electric vehicles (EVs). If the temperature exceeds a critical limit, danger may be posed to the components which are connected and the overall safety of the passengers. Traditionally, cooling methods are often energy-intensive and rely on active systems, which may not always be practical for high-power applications. Thus, a localized, fast, and reliable passive thermal management methodology that can be retrofitted into existing connector designs through modifications (e.g., enlargement and PCM integration) would provide significant safety enhancement. The material property of phase change materials, which possess high latent heat, has been used to maintain a steady temperature for a period of time. A dual PCM-layer has been incorporated into the design of the high-voltage connector to serve two purposes:1. The first PCM layer (PCM-1), with good conductivity, is used to rapidly absorb heat from the terminals. 2. The second PCM layer (PCM-2), playing a prominent role in heat storage, absorbs excess heat and has a larger heat-absorbing capacity. The objective has been to maintain the terminal temperature below 80°C. An NX-CAD model has been prepared, showcasing the PCM-1 and PCM-2 containers inside the male connector, along with the packaging scenario with the female connector. “Acting time” was calculated based on amount of heat taken by each PCM layer. Results showed that the total heat generated due to Joule effect was 78.125 W with a high current of 125 A. Out of which, PCM-1 was able to sustain 14.37 W for 92.4 seconds before it got fully melted and PCM-2 was able to sustain 0.42 W for 1.85 hours. Comparison plots for energy storage capacity clearly indicated high capacity for PCM-2.
Neogi, AngshumanShinde, Shardul
The BioMap system represents a groundbreaking approach to collaborative mapping for autonomous vehicles, drawing inspiration from ant colony behavior and swarm intelligence. It implements a fully decentralized protocol where vehicles use virtual pheromone trails to mark areas of uncertainty, change, or importance, enabling efficient map consensus without centralized coordination. Key innovations include novel pheromone-based compression algorithms and bio-inspired consensus mechanisms that allow real-time adaptation to dynamic environments. In a simulated urban scenario (Town10HD), three vehicles achieved balanced load distribution (±1.8% variance) and comprehensive coverage of a 253.2m × 217.9m × 22.4m area. The final fused map contained 311 chunks with 72,785 particles and required only 10.4 MB of storage. Approximately 49.2% of map particles exceeded the pheromone significance threshold, indicating active importance marking, while no high-uncertainty regions remained. These results demonstrate that BioMap enables natural prioritization of critical navigation areas via virtual pheromones, producing high-confidence maps in real time. Overall, the system achieves its objectives of decentralized mapping, efficient communication, and adaptive coverage through bio-inspired mechanisms, marking a significant advance in multi-vehicle SLAM.
Bhargav, Anirudh SSubbarao, Chitrashree
To address the issues of large storage requirements in maps and the dependence of localization accuracy on initial pose estimation, this paper proposes a novel relocalization method named LLS-SMGSC, which is based on simplified maps integrated with Global Search capabilities. Firstly, we partition the map-based on grid size to reduce memory usage. Next, we voxelize the point cloud and map and extract surfel. Then, a coarse-to-fine hierarchical alignment module between the initial frame and maps to estimate the initial global pose. Finally, unmanned platform pose is estimated by the Normal Distribution Transform (ndt) algorithm. Experiments demonstrate that LLS-SMGSC achieves the highest localization accuracy in both unstructured and structured environments while maintaining computational efficiency.
Quan, Zhiheng
As a crucial part of national strategic resources, petroleum is an important basic material for economic development. However, during the storage, loading and unloading, and transportation of bulk liquid petroleum products, unavoidable natural losses occur due to factors such as process technology and equipment. Therefore, studying the natural loss of liquid petroleum during storage and transportation, and adopting effective countermeasures to minimize the natural loss of liquid petroleum, has become a topic of focus in various fields. This paper uses the “Loss of Bulk Liquid Petroleum Products” approved in 1989 as the analysis standard to explore the natural loss of highway oil transportation, conduct statistical test analysis on oil data such as oil collection registration forms, and propose conclusions and suggestions, thereby providing a reference for the revision of oil loss standards. The experimental results show that the overall oil data meets the national standard for natural loss of bulk liquid petroleum products, and suggests revising three standards, indicating that the standard setting is relatively scientific and reasonable.
Li, BixinLi, JilaiJin, Shifeng
The control of rainfall runoff drainage in large airports presents significant challenges, particularly in terms of real-time coupling with meteorological warnings. This paper proposes an optimization method for the layout of sponge-like drainage ditches in large airports under BIM-3DGIS coupling. A BIM water supply and drainage model is constructed, with detailed inspections conducted on the functions and connections of the pipeline system in Revit software. The flow velocity and equivalent water supply pressure within the pipelines are analyzed, and collision detection is performed on the components. Based on 3DGIS technology, an optimization model for the layout of sponge-like drainage ditches is established, taking into comprehensive consideration various factors such as airport topography, rainfall characteristics, and surrounding environment. By calculating the water level changes within the infiltration and drainage ditches under different design rainfall scenarios, the storage ranges, water levels, and waterlogging duration curves of various facilities during rainfall events with different return periods are simulated. Case studies demonstrate that this method can effectively improve airport drainage efficiency, reduce peak drainage flow, mitigate the risk of waterlogging, and decrease the number of collision points in drainage pipelines. It provides a scientific basis and technical support for the planning and design of sponge-like drainage ditches in large airports.
Geng, LiangsuiZhao, ZhenyuHu, Jing
This document provides guidelines for the long-term storage (LTS) of electronic devices (dice, wafers, packaged parts, and electronic assemblies). The guidelines identify the protective storage conditions to retain the functionality of electronic devices as received from device manufacturers, distributors, or other facilities.
CE-12 Solid State Devices
Battery technology is at the center of global innovation. From electric vehicles and off-highway machinery to consumer electronics and grid storage, demand for high-performing, reliable batteries has never been higher. This acceleration creates pressure on manufacturers to scale production while safeguarding quality and throughput.
From sorting objects in a warehouse to navigating furniture while vacuuming, robots today use sensors, software control systems, and moving parts to perform tasks. The harder the task or more complex the environment, the more cumbersome and expensive the electronic components.
Large farms cultivating forage crops for the dairy and livestock sectors require high-quality, dense bales with substantial nutritional value. The storage of hay becomes essential during the colder winter months when grass growth and field conditions are unsuitable for animal grazing. Bale weight serves as a critical parameter for assessing field yields, managing inventory, and facilitating fair trade within the industry. The agricultural sector increasingly demands innovative solutions to enhance efficiency and productivity while minimizing the overhead costs associated with advanced systems. Recent weighing system solutions rely heavily on load cells mounted inside baling machines, adding extra costs, complexity and weight to the equipment. This paper addresses the need to mitigate these issues by implementing an advanced model-based weighing system that operates without the use of load cells, specifically designed for round baler machines. The weighing solution utilizes mathematical models and dynamic torque monitoring techniques to estimate the weight of bales immediately after the bale wrap process, before the bale is dropped onto the field. With the capability to function effectively in off-road conditions and diverse terrains, this system represents a substantial technological advancement that addresses the evolving challenges of modern agriculture. By demonstrating the potential of this design, the paper illustrates how advanced engineering solutions can enhance resource allocation, optimize feed management and distribution, support long-term planning, and contribute to the sustainability of agricultural practices without incurring additional costs. The weight of each bale can be used by farmers to analyze the current harvest based on bale weight variability and to make improvements before the next harvest. It also aids in key decision-making processes such as bale handling, transportation, sales and storage for future seasons. This advancement has significant advantages for scalability and profitability, allowing for optimized decision-making processes in agricultural operations.
Kadam, Pankaj
In the agricultural industry, the logistics of transporting and storing bales, used as cattle feed, pose significant challenges for large scale farms. Traditional storage of bales in barns is labor-intensive, high in capital expenditure and requires multiple trips of transport vehicle on and off the field. Improper handling during this transition can lead to substantial losses in time, resources and loss of hay. This development aims to eliminate the last-mile transportation step, by enabling year-round storage of bales directly in the field. A patented wrapping material, along with strategic orientation of wrapped bales, enhances their resistance to weather conditions. Field experiments demonstrated that this innovative material not only protects the bales from adverse environmental factors but also effectively retains their nutrient and moisture content. A critical aspect of this solution is ensuring the correct orientation of the wrap seams, as the bales are continuously rotated within the baler machine. Correct orientation of the wrapped bale is achieved through implementation of position-tracking algorithm, which provides real-time feedback to the operator via audio-visual alerts, facilitating timely adjustments for optimal bale placement. By integrating a single sensor hardware modification, with software algorithms changes, this solution allows for backward compatibility with existing machinery, significantly enhancing deployment efficiency. This advancement ultimately reduces operator workload and increases overall operational productivity. This paper leverages principles of systems engineering to present a forward-looking solution that addresses multiple industry challenges, thereby contributing to enhanced efficiency and sustainability in agricultural operations. The outcomes of this project are expected to yield significant improvements in productivity and resource management, marking a notable advancement in agricultural technology.
Kadam, Pankaj
In the recent years, the urgency to decarbonize the mobility sector has highlighted the importance of the electrochemical hydrogen use in fuel cells to complement the battery-based electrification. Hydrogen is the greenest energy carrier, and low-temperature Polymer Electrolyte Membrane Fuel Cells (PEMFCs) are part of an ever-evolving scenario, with particularly promising use in high energy demand sectors. Hydrogen is the main player in decarbonisation scenarios, but there are many issues, including its production and storage. There are many categories of hydrogen; in these applications, the finest category of hydrogen, called green hydrogen, is required. To achieve completely green vehicle mobility, enormous technological advances are necessary. This paper presents a 3D-CFD study to analyse the behaviour of PEMFCs by examining the role of humidification, covering fully humidified (anode and cathode), anode-only, cathode-only, and fully dry operations. This is simulated for several membrane thicknesses, reproducing a wide matrix of operating conditions and separator choices, and examining their respective effect on the cell’s resistance. The obtained results confirm that the fully dry operation results in a significant increase in cell’s internal resistance, as well as the opposite is verified for fully humidified operation. However, maintaining an external anode-only humidification and relying on the internal self-humidification can be a highly effective strategy, allowing to reduce the complexity of the balance of plant by simplifying the humidifiers sub-system. This is analysed in conjunction with the effect of the electrolyte thickness, which opens to the possibility to enhance or even suppress self-humidification and water transport. Conclusions provide an overview of the design and operating choices to minimize the cell’s resistance at a minimum system complexity cost.
Scialpi, LeonardoD'Adamo, AlessandroMarra, Carmine
The growing emphasis on environmental protection and sustainability has resulted in increasingly stringent emission regulations for automotive manufacturers, as demonstrated by the upcoming EURO 7 and 2027 EPA standards. Significant advancements in cleaner combustion and effective aftertreatment strategies have been made in recent decades to increase the engine efficiency while abiding by the emission limits. Among the exhaust aftertreatment strategies, three-way catalyst has remained the primary solution for stoichiometric burn engines due to its high conversion efficiency and ability to simultaneously allow both oxidative and reductive reactions in a single stage with spatial separation due to the oxygen storage capabilities of ceria. However, fuel and lubricant-borne sulfur and phosphorus compounds have been shown to have a significant long-term effect on the activity of three-way catalysts, particularly during the lean-rich transitions and oxygen storage processes. In the present study, the impact of sulfur contamination on the conversion efficiency and oxygen storage capacity of the three-way catalyst has been investigated on a heated flow reactor bench platform. The influence of sulfur accumulation on the water-gas shift reaction and activity of ceria has been studied. Additionally, the process of sulfur removal at high temperature (~700-750°C) has also been explored. Relevant engine-out exhaust conditions from the SI engine platform, including flow, temperature, and exhaust species (individually), were replicated on a heated aftertreatment flow bench during contamination and regeneration cycles. A comprehensive analysis of species before and after the catalyst sections was performed using Fourier-transformed infrared (FTIR) and mass spectrometers to study and quantify the conversion and formation of species including sulfur species (sulfur dioxide and hydrogen sulfide) and hydrogen, under different catalyst conditions. The conversion selectivity of sulfur species during regeneration is also investigated. The results show that sulfur contamination causes a substantial reduction in oxygen storage capacity. Effective sulfur removal required a combination of high temperature (~700°C or higher) and lean-rich cycling; absence of either condition resulted in incomplete desulfation and the selectivity towards sulfur dioxide and hydrogen sulfide was largely dependent on the reductant species used during high temperature desulfation.
Sandhu, Navjot SinghYu, XiaoJiang, ChuankaiTing, DavidZheng, Ming
Advances in conformable tank technology have resulted in opportunities to harness and deploy hydrogen energy in a variety of operational environments. Various use cases are described, and the benefits of these unique storage systems in vehicular, stationary, and bulk storage applications are illustrated. The impressive scalability of conformable hydrogen tank production is also explained, as it relates to the cost effective and broad application of these storage systems.
Johnston, StephenKondogiani, Chris
Warehouse logistics increasingly rely on automation in the form of autonomous mobile robots (AMRs), scanners, complex conveyors, and fleet management systems for seamless operation, but it’s the ubiquitous, century-old pallet that remains the critical support system. Make no mistake, if even one of those thousands of pallets is defective, it can create havoc in the warehouse.
The results published in this paper emphasize on the study of three-way catalytic convertor for a 1.2 L turbocharged multi-point fuel injection gasoline engine. This paper takes us through the findings on methodology used for finalizing the brick configuration for catalytic convertor along with downstream oxygen sensor placement for emission control and methods applied for catalytic convertor selection with actual testing. The advantages of dual brick configuration over single brick with downstream sensor placed in between the bricks to enable faster dew point of sensor is explained using water splash test and design confirmation of better exhaust gas flow vortices concentration at the sensor tip for better sensing. Selection of catalytic convertor loading by testing its emission conversion capability and light-off behavior. NOx conversion capability across stoichiometric ratio (14.7:1 for petrol) on selected most operational zone was tested (±5% lambda) for the design-finalized samples acquired for testing. Also ability of faster light-off temperature (250–300°C) where conversion efficiency should be >95% is evaluated. Like wise it was also found that emission conversion efficiency is directly proportional to oxygen storage capacity of catalytic convertor with same configuration. On the other hand, an experiment on reverse aging for catalytic convertor was performed to monitor its improvement in oxygen storage capacity.
Arun Selvan, S. A.Paul, Arun AugustineSelvaraj, Manimaran
In single-aisle aircraft, the available storage space for carry-on baggage is inherently limited. When the aircraft is fully booked, it often results in insufficient overhead bin space, necessitating last-minute gate-checking of carry-on items. Such disruptions contribute to delays in the boarding process and reduce operational efficiency. A promising approach to mitigate this issue involves the integration of computer vision technologies with an appropriate data storage system and stochastic simulation to enable accurate and supportive predictions that enhance planning, reduce uncertainty, and improve the overall boarding process. In this work, the YOLOv8 image recognition algorithm is used to identify and classify each passenger’s carry-on baggage into predefined categories, such as handbags, backpacks, and suitcases. This classified data is then linked to passenger information stored in a NoSQL database MongoDB, which includes seat assignments and the number of carry-on items associated with each passenger. Stochastic analysis is applied to predict the occupancy levels of overhead storage bins across different seat rows during the boarding of the passengers. This allows for real-time assessment of whether the remaining storage capacity is sufficient to accommodate additional baggage items. The results of the stochastic analysis reveal potential bottlenecks in baggage storage even before the boarding process is completed. By identifying these critical points in real time, the system can alert gate agents to proactively manage baggage distribution and mitigate overcrowding in aircraft overhead bins. This approach has the potential to streamline the boarding process, thereby reducing aircraft turnaround times and improving overall efficiency within commercial aviation.
Bergmann, JacquelineHub, Maximilian
In response to the evolving landscape of exhaust gas regulations for small powertrains, reducing NOx emission is increasingly important. This study deeply investigated the feasibility of a NOx storage catalyst (NSC) containing cerium oxide (CeO2) and barium oxide (BaO) for reducing NOx emission. The key functions, NOx storage and reduction performances were evaluated, and deterioration mechanisms were explored through performance evaluations and physical property analyses. The findings revealed a strong correlation between the size of CeO2 crystals and NOx storage performance at low temperature, such as those encountered during city driving conditions. Conversely, at high temperature, such as those during highway driving conditions, NOx storage performance correlated well with sulfur deposition, suggesting that the formation of barium sulfate (BaSO4) contributes to the deactivation. This experiment also showed a strong correlation between NOx reduction performance and BaSO4 formation. A new aging method that can simulate both thermal and sulfur deterioration was established based on these findings. This method effectively reflects field aging conditions. A new NSC based on the concept of resisting this newly established aging method showed significantly improved performance in both NOx storage and reduction. Despite an increase in the amount of barium components compared to the conventional NSC, high performance was maintained after sulfur poisoning. In the case of the new NSC, it was found that weakly basic chemical introduced as a sulfur scavenger suppresses the formation of BaSO4. This new NSC concept is expected to be leveraged in a wide range of vehicles including small powertrains, to achieve robust performance.
Nakano, FumiyaKoito, Yusuke
In order to comply with the tightening of global regulations on automobile exhaust gas, further improvements to exhaust gas control catalysts and upgrades to on-board diagnostics (OBD) systems must be made. Currently, oxygen storage capacity (OSC) is monitored by front and rear sensors before and after the catalyst, and deterioration is judged by a decrease in OSC, but it is possible that catalyst deterioration may cause the rear sensor to detect gas that has not been sufficiently purified. It is important to observe the activity changes when the catalyst deteriorates in more detail and to gain a deeper understanding of the catalyst mechanism in order to create guidelines for future catalyst development. In this study, we used a μ-TG (micro thermogravimetric balance) to analyze in detail how differences in design parameters such as the type of precious metal, detection temperature, and mileage (degree of deterioration) affect the OSC rate in addition to the OSC of the ceria-based composite oxide of the entire catalyst. It was found that CZY has better durability in terms of both OSC rate and amount than CZ. Furthermore, by comparing the results of experiments using time-resolved dispersive X-ray absorption fine structure (DXAFS) using synchrotron radiation, the reduction behavior of ceria was analyzed in more detail.
Hamada, ShotaUegaki, ShinyaTanabe, HidetakaNakayama, TomohitoJinjo, ItsukiKurono, SeitaOishi, ShunsukeNarita, KeiichiOnishi, TetsuroYasuda, KazuyaMatsumura, DaijuTanaka, Hirohisa
On-board diagnosis (OBD) of gasoline vehicle emissions is detected by measuring the fluctuations of the rear oxygen sensor due to the time-dependent deterioration of the oxygen storage capacity (OSC) contained in the automotive catalyst materials. To detect OBD in various driving modes of automobiles with an order of magnitude higher accuracy than before, it is essential to understand the OSC mechanism based on fundamental science. In this study, time-resolved dispersive X-ray absorption fine structure (DXAFS) using synchrotron radiation was used to carry out a detailed analysis not only of the OSC of ceria-based complex oxides, which had previously been roughly understood, but also of how differences in design parameters such as the type of precious metals, reducing gases (CO and H2), detection temperatures, and mileages (degree of deteriorations) affect the OSC rate in a fluctuating redox atmosphere. A fundamental characteristic was clearly demonstrated in ceria-based complex oxides: the oxygen release rate accompanying the generation of oxygen vacancies is overwhelmingly slower than the oxygen storage rate that restores the crystal structure. Another interesting result was revealed: when precious metals are supported, a competitive reaction occurs between the precious metal and the ceria-based complex oxide in the release/storage of oxygen, and the change in cerium valence from tetravalent to trivalent actually slows down. Furthermore, it was proven that CZY is more durable than CZ in terms of both OSC rate and amount. In this way, the basic scientific properties of ceria-based complex oxides, which are necessary for designing OBD logic, have been clarified.
Tanaka, HirohisaMatsumura, DaijuUegaki, ShinyaHamada, ShotaAotani, TakuroKamezawa, SaekaNakamoto, MasamiAsai, ShingoMizuno, TomohisaTakamura, RikuGoto, Takashi
This research explores the use of salt gradient solar ponds (SGSPs) as an environmentally friendly and efficient method for thermal energy storage. The study focuses on the design, construction, and performance evaluation of SGSP systems integrated with reflectors, comparing their effectiveness against conventional SGSP setups without reflectors. Both experimental and numerical methods are employed to thoroughly assess the thermal behavior and energy efficiency of these systems. The findings reveal that the SGSP with reflectors (SGSP-R) achieves significantly higher temperatures across all three zones—Upper Convective Zone (UCZ), Non-Convective Zone (NCZ), and Lower Convective Zone (LCZ)—with recorded temperatures of 40.56°C, 54.2°C, and 63.1°C, respectively. These values represent an increase of 6.33%, 11.12%, and 14.26% over the temperatures observed in the conventional SGSP (SGSP-C). Furthermore, the energy efficiency improvements in the UCZ, NCZ, and LCZ for the SGSP-R are considerable, showing increases of 39.18%, 35.46%, and 39.64%, respectively, when compared to the SGSP-C. The numerical simulations are in strong agreement with the experimental results, exhibiting minimal deviations of less than 5% in both temperature distribution and energy efficiency across all zones. This study underscores the potential of SGSPs with reflectors for enhanced thermal storage performance.
J, Vinoth Kumar
Reticular Material Solid-State H2 Storage Systems for Long Duration Flights
Sirosh, Neel
NASA's Cryogenic Flux Capacitor (CFC) capitalizes on the energy storage capacity of liquefied gases. By exploiting a unique attribute of nano-porous materials, aerogel in this case, fluid commodities such as oxygen, hydrogen, methane, etc. can be stored in a molecular surface-adsorbed state. This cryogenic fluid can be stored at low to moderate pressure densities, on par with liquid, and then quickly converted to a gas, when the need arises. This solution reduces both safety-related logistics issues and the limitations of complex storage systems.
Purdue researchers have created technology aimed at replacing Morse code with colored “digital characters” to modernize optical storage. They are confident the advancement will help with the explosion of remote data storage during and after the COVID-19 pandemic.
It is emerging the need to take action to reduce the greenhouse effect, which is one of the major causes of climate change and environmental disasters that has been occurring frequently in recent decades throughout the planet. The burning of fossil fuels for electricity and energy generation are the main concerns and those that have greater incentives for its reduction, as its by-product of the reaction of burning CO2, which among the greenhouse gases is primarily responsible for its aggravation. The transport sector excels in CO2 emissions, emits about 20% of gas, according to the Intergovernmental Panel on Climate Change (IPCC), a scientific organization linked to the United Nations (UN). A promising solution to reduce the impact of this sector would be the use of hydrogen fuel cell, which if carried out through renewable energies, the electrolysis of hydrogen has zero CO2 emission throughout the cycle. However, one of the biggest challenges to make viable the use of hydrogen as fuel is its storage due to its being very volatile in its gaseous form and necessary to be kept at low temperatures in its liquid form. In this paper we will explain briefly about the generation cycle of the hydrogen cell in its two forms and put into perspective the physical-chemicals for their storage and use together with the technologies currently used and possible future technologies.
Alves, JoyceSilva, AntônioPaterlini, BrunoSantos, FelipePedroso, HenriqueHenrique, PedroMilani, Pedro
Lithium iron phosphate is one of the most important materials for batteries in electric cars, stationary energy storage systems, and tools. It has a long service life, is comparatively inexpensive and does not tend to spontaneously combust. Energy density is also making progress. However, experts are still puzzled as to why lithium iron phosphate batteries undercut their theoretical electricity storage capacity by up to 25 percent in practice. To utilize this dormant capacity reserve, it would be crucial to know exactly where and how lithium ions are stored in and released from the battery material during the charging and discharging cycles. Researchers at Graz University of Technology (TU Graz) have now taken a significant step in this direction. Using transmission electron microscopes, they were able to systematically track the lithium ions as they traveled through the battery material, map their arrangement in the crystal lattice of an iron phosphate cathode with unprecedented resolution, and precisely quantify their distribution in the crystal.
Researchers have developed better rechargeable batteries by applying silicon to the batteries’ cathodes. A previously unknown mechanism by which lithium gets trapped in batteries limits the number of times it can be charged and discharged at full power. By not maxing out their storage capacity, a new approach could provide steady and stable cycling for applications that need it.
Moisture adsorption and compression deformation behaviors of Semimet and Non-Asbestos Organic brake pads were studied and compared for the pads cured at 120, 180 and 240 0C. The 2 types of pads were very similar in moisture adsorption behavior despite significant differences in composition. After being subjected to humidity and repeated compression to 160 bars, they all deform via the poroviscoelastoplastic mechanism, become harder to compress, and do not fully recover the original thickness after the pressure is released for 24 hours. In the case of the Semimet pads, the highest deformation occurs with the 240 °C-cure pads. In the case of the NAO pads, the highest deformation occurs with the 120 0C-cure pads. In addition, the effect of pad cure temperatures and moisture adsorption on low-speed friction was investigated. As pad properties change all the time in storage and in service because of continuously changing humidity, brake temperature and pressure, one must question any approach trying to relate unused virgin pad properties to brake friction and noise in service, including any attempt to model or simulate brake friction and noise using virgin pad properties.
Rhee, Seong KwanRathee, AmanSingh, ShivrajSharma, Devendra
Getting 800 robots in a warehouse to and from their destinations efficiently while keeping them from crashing into each other is no easy task. In a sense, these robots are like cars trying to navigate a crowded city center.
This article presents an optimization scheme for LoRaWAN-based electric vehicle batteries monitoring system located in warehouses by utilizing techniques to optimize packet delivery and power settings. Utilizing simulations, we identify that system optimization largely depends on network traffic, influenced by active users and the adoption of the pure ALOHA protocol. We define a reward metric based on the packet delivery rate and power efficiency, aiming for settings that yield the maximum reward. Our approach includes duty cycle management to minimize network traffic and maximize throughput, especially critical when handling urgent data from batteries. Traffic management based on the number of critical batteries in the warehouse also plays a crucial role. Predictive modeling of future traffic further refines power settings for optimal performance. The proposed system, tested through simulations, shows an average of 31% higher reward compared to traditional methods without duty cycle management.
Tabatowski-Bush, BenjaminXiang, Weidong
In response to global climate change, there is a widespread push to reduce carbon emissions in the transportation sector. For the difficult to decarbonize heavy-duty (HD) vehicle sector, hybridization and lower carbon-intensity fuels can offer a low-cost, near-term solution for CO2 reduction. The use of natural gas can provide such an alternative for HD vehicles while the increasing availability of renewable natural gas affords the opportunity for much deeper reductions in net-CO2 emissions. With this in consideration, the US National Renewable Energy Laboratory launched the Natural Gas Vehicle Research and Development Project to stimulate advancements in technology and availability of natural gas vehicles. As part of this program, Southwest Research Institute developed a hybrid-electric medium-HD vehicle (class 6) to demonstrate a substantial CO2 reduction over the baseline diesel vehicle and ultra-low NOx emissions. The development included the conversion of a 5.2 L diesel engine to spark-ignited natural gas with an aluminum, pent-roof cylinder head to provide a diesel-like torque curve and engine NOx emissions below 0.02 g/hp-hr (0.027 g/kWh). In parallel, a vehicle modeling study was performed to determine an optimum hybrid architecture for an Isuzu F-Series truck to provide the largest impact on fleet emissions. Variations of motor/generator location, battery voltage, and storage capacity were evaluated. Finally, the demonstration truck was built with the prototype engine and P2 plug-in hybrid system to provide performance and emissions validation of the overall concept. The vehicle was tested over several HD drive cycles, including the Greenhouse Gas Emissions Model (GEM) certification cycles, and provided satisfactory performance. The GEM cycle results demonstrated a greater than 25% reduction in CO2 for the multi-purpose and urban subcategories. For the regional subcategory testing with a high percentage of highway speeds operation, the vehicle demonstrated a 13% reduction in CO2 due primarily to the lower carbon intensity fuel.
Wallace, JulianMitchell, RobertRao, SandeshJones, KevinKramer, DustinWang, YanyuChambon, PaulSjovall, ScottWilliams, D. Ryan
As vibration and noise regulations become more stringent, numerical models need to incorporate more detailed damping treatments. Commercial frameworks, such as Nastran and Actran, allow the representation of trim components as frequency-dependent reduced impedance matrices (RIM) in direct frequency response (DFR) analysis of fully trimmed models. The RIM is versatile enough to couple the trims to modal-based or physical components. If physical, the trim components are reduced on the physical coupling degrees of freedom (DOFs) for each connected interface. If modal, the RIMs are projected on the eigenmodes of the connected component. While a model size reduction is achieved compared to the original model, most numerical models possess an extensive number of interfaces DOFs, either modal or physical, resulting in large, dense RIMs that demand substantial memory and disk storage. Thus, the approach faces challenges related to storage capacities and efficiency, because of the demanding computational input/output (I/O) operations involved. This paper introduces a new robust and efficient methodology. It aims to further compress these RIMs when dealing with modal components. Instead of performing a conventional modal projection, the method reduces the global modes onto the coupling surfaces of each component to their most significant contributions. The paper demonstrates, on an industrial fully trimmed car body model, that if the truncation process eliminates low-effect contributions sufficiently, the coupling is adequately represented, resulting in a significant reduction in disk storage with minimal loss of accuracy. As an additional benefit, the computational time is reduced due to the I/O handling of much smaller matrices.
Paiva, AndreVerhaegen, JulienLielens, GregoryVan den Nieuwenhof, Benoit
Rooftop solar panels will soon power about 90% of PFG's Gilroy, California, operations, the starting point for cold food deliveries. The vehicles getting the various edibles and food-related products from the warehouse to restaurants, schools, hotels and other customers include new battery-electric Class 8 trucks that mate to trailers fitted with zero-emission transport refrigeration units (TRUs). “Our Gilroy, California, location is the pilot for how we intend to develop sustainable distribution centers,” said Jeff Williamson, senior vice president of operations for Richmond, Virginia-headquartered Performance Food Group (PFG). Williamson and others were recently interviewed by Truck & Off-Highway Engineering following an Earth Day open house at the Gilroy site.
Buchholz, Kami
Most heavy trucks should be fully electric, using a combination of batteries and catenary electrification, but heavy trucks requiring very long unsupported range will need chemical fuels. Hydrogen is the key to storing renewably generated electricity chemically. At the scale of heavy trucks, compressed hydrogen can match the specific energy of diesel, but its energy density is five times lower, limiting the range to around 2,000 km. Scaling green hydrogen production and addressing leakage must be priorities. Hydrogen-derived electrofuels—or “e-fuels”—have the potential to scale, and while the economic comparison currently has unknowns, clean air considerations have gained new importance. The limited supply of bioenergy should be reserved for critical applications, such as bioenergy with carbon capture and storage (BECCS), aviation, shipping, and road freight in the most remote locations. Additionally, there are some reasons to prefer ethanol or methanol to diesel-type fuels as they are inherently clean burning, more easily synthesized, and more readily produced from cellulosic sources.
Muelaner, Jody E.
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