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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 19 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2024

High-Performance AEM LTE with Advanced Membranes, Ionomers and PGM-Free Electrodes

Alkaline low temperature electrolysis (LTE) systems enjoy several potential advantages over acid-based LTE systems including facile oxygen evolution reaction (OER) kinetics and electrodes that can use little to no platinum group metals (PGM). The polymer membranes and membrane electrode assembly (MEA) structures going into alkaline electrochemical systems have seen significant advances in recent years. The objective of this project is to combine state-of-the-art alkaline polymer electrolyzer components into one optimized membrane electrode assembly (MEA) system to achieve DOE low temperature electrolysis (LTE) goals. The benefit of individual component advances cannot be fully appreciated until all aspects and components of the MEA are working at an equally high level of performance. New electrode fabrication methods were developed where solvent cast catalyst/ionomer solutions were used in place of insoluble ionomers to significantly improve adhesion. The membranes were improved in terms of durability and mechanical properties. The OER and HER catalysts were improved and made more durable.

08 HYDROGEN↗
DOE OSTI2023

LTE-P-19 Comparison Metrics and Terms for Low Temperature Electrolysis

Defines a standard set of definitions, metrics, units, and conventions for low temperature electrolysis (LTE). The goal is to ensure that the literature is consistent from research group to research group, and data is reported in similar formats, such that results can be compared on a similar basis.

Electryolyzer↗
DOE OSTI2023

Analysis of a Runtime Data Sharing Architecture over LTE for a Heterogeneous CAV Fleet

This paper describes a lightweight runtime architecture for telemetry, communication, and control of cars deployed with advanced driver assistance systems where a human is in the loop with the car, via an LTE connection. The system architecture supports both local control decisions based on car sensors and safety algorithms as well as high-level input from external systems that may provide insight into traffic state ahead of sensor data. Implementation of the architecture is done in ROS and depends on open-source software packages for runtime decoding of information from the vehicle’s controller area network (CAN) and integration of GPS data from accompanying sensors. The contribution of the paper is to describe the overall architecture, the data it can communicate to other systems, performance of the system at runtime, and challenges faced when deploying the architecture across a heterogeneous fleet. Preliminary results from analysis of test data will provide insights into whether the use of high-latency communication can be effective for societal-scale intelligent transportation systems when applied in future scenarios

Richardson, Alex↗
DOE OSTI2023

LTE-P-22 Alkaline Stability of AEMs

A procedure for ex-situ evaluation of chemical (alkaline) stability of anion exchange membranes (AEM). The IEC and ionic conductivity of an AEM is measured before and after being heated (typically at 80C in 1 M KOH) for ~1000 hours.

AEM↗
DOE OSTI2023

LTE-P-20 Water Content

A procedure to determine the percent of water content of membrane. The SOP was prepared by Chris Capuano.

Electrolyzer↗
DOE OSTI2023

LTE-P-14 Non PGM Conductivity measurement

A procedure for measuring the electrical conductivity of PGM-free OER catalyst powders to allow comparison of one material to another. This standard two-point conductivity protocol is applicable to transition metal oxides, mixed oxides, perovskites, spinels, etc.

08 HYDROGEN↗
DOE OSTI2023

LTE-P-10 RDE

A standardized procedure for rotating disk electrode (RDE) experiments for the ex-situ characterization of oxygen evolution reaction (OER) catalysts for PEM water electrolyzers. This protocol should allow for the analysis of onset potential, overpotential at a fixed current, catalytic activity, and electrochemical surface area of these catalysts.

08 HYDROGEN↗
DOE OSTI2023

LTE-P-8 Gas permeability

A procedure for the measurement of gas permeability of an anion exchange membrane (AEM). During the course of the electrochemical reaction, low gas permeation of hydrogen and oxygen through the membrane is crucial to run the process efficiently. The gas permeation rate can be measured using (A) pressure permeation cell, (B) electrochemical monitoring cell, (C) microelectrode and (D) in-situ measurement in MEA. The process relies on a chronoamperometric technique to accurately measure the gas permeation rate across the membrane.

08 HYDROGEN↗
DOE OSTI2023

LTE-P-7 IEC AEM SOP

A procedure for measuring the ion exchange capacity (IEC) of an anion exchange membrane (AEM). This is done via a titration method (automated or manual).

08 HYDROGEN↗
DOE OSTI2023

LTE-P-6 AEM Conductivity

A procedure for measuring the hydroxide conductivity of an anion exchange membrane (AEM). A four-electrode In-plane conductivity is measured as a function of relative humidity (RH).

08 HYDROGEN↗
DOE OSTI2023

LTE-P-3 IEC PEM SOP

A procedure for measuring the ion exchange capacity (IEC) of a proton exchange membrane (PEM).

08 HYDROGEN↗
DOE OSTI2023

LTE-P-1 GDL Compressibility

Ex-situ measurement of the compressibility of Gas Diffusion Layer (GDL) materials for use as electrode materials in applications such as fuel cells, electrolyzers, and batteries.

08 HYDROGEN↗
DOE OSTI2023

Deliver Signal Phase and Timing (SPAT) for Energy Optimization of Vehicle Cohort Via Cloud-Computing and LTE Communications

Predictive Signal Phase and Timing (SPAT) message set is one fundamental building block for vehicle-to-infrastructure (V2I) applications such as Eco-Approach and Departure (EAD) at traffic signal controlled urban intersections. Among the two complementary communication methods namely short-range sidelink (PC5) and long-range cellular radio link (Uu), this paper documents the work with long-range link: the complete data chain includes connecting to the traffic signals via existing backhaul communication network, collecting the raw signal phase state data, predicting the signal state changes and delivering the SPAT data via a geofenced service to requests over HTTP protocols. An Application Programming Interface (API) library is developed to support various cellular data transmission reduction and latency improvement techniques. An emulation-based algorithm is applied to predict the traffic signal state changes to provide adequate prediction horizon (e.g., at minimum 2 minutes) for the cohort energy optimization. In fact, the same connectivity and SPAT delivery methodology has been applied to traffic signalized intersections nationwide in the United States upon public agency approvals for access to their firewalled traffic control network and signal control systems or directly to individual controllers. This methodology proves its effectiveness and potential for rapid growth of such SPAT deliveries at mass production scale without needing infrastructure hardware retrofit or excessive communication means. To support the energy optimization of light and heavy-duty vehicle cohorts of mixed automation and propulsion systems (EV, ICE and hybrid), the connection and SPAT deliveries at two sites were completed, including public roads in Washtenaw County, Michigan and closed track test sites at American Center for Mobility (ACM) in Ypsilanti, Michigan. However, only closed test track results at ACM will be presented in this paper. A neuroevolution based optimizer is developed and implemented to control the speed of a vehicle cohort with different propulsion systems and automation levels. Closed track tests showed significant energy savings of the cohort operation.

99 GENERAL AND MISCELLANEOUS↗
DOE OSTI2024

LTE Electrolyzer Data Collection

The goal for NREL is to collect, develop and publish performance metrics relative to low temperature electrolyzer installations. This will be done through the development of: Secure storage solution to house the collection of data from multiple projects Standardization of data to be collected and analyzed. This will be done using data templates developed with the help of partners involved with electrolyzer installations. Analysis that produces metrics of interest for all stakeholders Aggregation of results from multiple projects to view industry progress as a whole Publication of aggregated results in the form of composite data products (CDPs) Collaboration with Idaho National Lab and their work with high temperature electrolyzer installations will enable efficient use of storage and analysis tools.

data↗