Cost and Performance Metrics Used to Assess Carbon Utilization and Storage Technologies

2014 ◽  
Author(s):  
Alexander Zoelle ◽  
Peter Kabatek
Keyword(s):  
Performance Metrics ◽  
Carbon Utilization ◽  
And Performance ◽  
Storage Technologies ◽  
And Storage

scholarly journals Distributed Data Collection for the Next Generation ATLAS EventIndex Project

2019 ◽  
Vol 214 ◽  
pp. 04010
Author(s):  
Álvaro Fernández Casaní ◽  
Dario Barberis ◽  
Javier Sánchez ◽  
Carlos García Montoro ◽  
Santiago González de la Hoz ◽  
...  
Keyword(s):  
Data Collection ◽  
Current Approach ◽  
Distributed Data ◽  
Future Data ◽  
Data Files ◽  
Complete Catalogue ◽  
And Performance ◽  
Processing And Storage ◽  
Storage Technologies ◽  
And Storage

The ATLAS EventIndex currently runs in production in order to build a complete catalogue of events for experiments with large amounts of data. The current approach is to index all final produced data files at CERN Tier0, and at hundreds of grid sites, with a distributed data collection architecture using Object Stores to temporarily maintain the conveyed information, with references to them sent with a Messaging System. The final backend of all the indexed data is a central Hadoop infrastructure at CERN; an Oracle relational database is used for faster access to a subset of this information. In the future of ATLAS, instead of files, the event should be the atomic information unit for metadata, in order to accommodate future data processing and storage technologies. Files will no longer be static quantities, possibly dynamically aggregating data, and also allowing event-level granularity processing in heavily parallel computing environments. It also simplifies the handling of loss and or extension of data. In this sense the EventIndex may evolve towards a generalized whiteboard, with the ability to build collections and virtual datasets for end users. This proceedings describes the current Distributed Data Collection Architecture of the ATLAS EventIndex project, with details of the Producer, Consumer and Supervisor entities, and the protocol and information temporarily stored in the ObjectStore. It also shows the data flow rates and performance achieved since the new Object Store as temporary store approach was put in production in July 2017. We review the challenges imposed by the expected increasing rates that will reach 35 billion new real events per year in Run 3, and 100 billion new real events per year in Run 4. For simulated events the numbers are even higher, with 100 billion events/year in run 3, and 300 billion events/year in run 4. We also outline the challenges we face in order to accommodate future use cases in the EventIndex.

U.S. Department of Energy Hydrogen and Fuel Cells Program: Progress, Challenges and Future Directions

MRS Advances ◽  
2016 ◽  
Vol 1 (42) ◽  
pp. 2839-2855 ◽  
Author(s):  
Eric L Miller ◽  
Dimitrios Papageorgopoulos ◽  
Ned Stetson ◽  
Katie Randolph ◽  
David Peterson ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
High Volume ◽  
Department Of Energy ◽  
Fuel Cell Performance ◽  
Storage Materials ◽  
And Performance ◽  
Research Consortium ◽  
Storage Technologies ◽  
And Storage

ABSTRACTThis paper provides an overview of the U.S. Department of Energy’s (DOE) hydrogen and fuel cell activities within the Office of Energy Efficiency and Renewable Energy (EERE), focusing on key targets, progress towards meeting those targets, and materials-related issues that need to be addressed. The most recent, state-of-the-art data on metrics such as cost, durability, and performance of fuel cell and hydrogen technologies are presented. Key technical accomplishments to date include a 50% reduction in the modeled high volume cost of fuel cells since 2006, and an 80% cost reduction for electrolyzers since 2002. The statuses of various hydrogen production, delivery, and storage technologies are also presented along with a summary of materials-related challenges for hydrogen infrastructure technologies such as compression, dispensing, seals, pipeline materials/embrittlement, and storage materials. Specific examples and areas requiring more research are discussed. Finally, future plans including EERE’s lab consortium approach such as HyMARC (Hydrogen Storage Materials Advanced Research Consortium) and FC-PAD (Fuel Cell Performance and Durability) Consortia, are summarized.

Assessment methods and performance metrics for redox flow batteries

Nature Energy ◽  
2021 ◽  
Author(s):  
Yanxin Yao ◽  
Jiafeng Lei ◽  
Yang Shi ◽  
Fei Ai ◽  
Yi-Chun Lu
Keyword(s):  
Performance Metrics ◽  
Assessment Methods ◽  
Redox Flow Batteries ◽  
Flow Batteries ◽  
And Performance

Porphyrin-based frameworks for oxygen electrocatalysis and catalytic reduction of carbon dioxide

2021 ◽  
Author(s):  
Zuozhong Liang ◽  
Hong-Yan Wang ◽  
Haoquan Zheng ◽  
Wei Zhang ◽  
Rui Cao
Keyword(s):  
Carbon Dioxide ◽  
Recent Progress ◽  
Catalytic Reduction ◽  
Storage Technologies ◽  
Conversion Technologies ◽  
And Storage

The recent progress made on porphyrin-based frameworks and their applications in energy-related conversion technologies (e.g., ORR, OER and CO2RR) and storage technologies (e.g., Zn–air batteries).

Development of an Adaptive Human-Machine-Interface to Minimize Driver Distraction and Workload

2013 ◽  
Author(s):  
Matthew Westin ◽  
Ronald Dougherty ◽  
Christopher Depcik ◽  
Austin Hausmann ◽  
Charles Sprouse
Keyword(s):  
Performance Metrics ◽  
Sensory Information ◽  
Driver Distraction ◽  
Test Drive ◽  
Workload Management ◽  
City Street ◽  
Proximity Detection ◽  
Test Platform ◽  
In Series ◽  
And Performance

The original use of the vehicle dashboard was to provide enough sensory information to inform the driver of the current engine and vehicle status and performance. Over time, it has evolved into an entertainment system that includes person-to-person communication, global positioning information, and the Internet, just to name a few. Each of these new features adds to the amount of information that drivers must absorb, leading to potential distraction and possible increases in the number and types of accidents. In order to provide an overview of these issues, this paper summarizes previous work on driver distraction and workload, demonstrating the importance of addressing those issues that compete for driver attention and action. In addition, a test platform vehicle is introduced which has the capability of assessing modified dashboards and consoles, as well as the ability to acquire relevant driving performance data. Future efforts with this test platform will be directed toward helping to resolve the critical tug-of-war between providing more information and entertainment while keeping drivers and their passengers safe. The long-term goal of this research is to evaluate the various technological innovations available for inclusion in the driving environment and determining how to optimize driver information delivery without excessive distraction and workload. The information presented herein is the first step in that effort of developing an adaptive distraction/workload management system that monitors performance metrics and provides selected feedback to drivers. The test platform (1973 VW Beetle converted to a plug-in series hybrid) can provide speed, location (GPS), 3-D acceleration, and rear proximity detection. The test drive route was a 2 km × 3 km city street circuit which took approximately 25 minutes to complete. Data is provided herein to demonstrate these capabilities. In addition, the platform has driver selectable layouts for the instrument cluster and console (LCD screens). The test platform is planned for use to determine driver preferences (e.g., dashboard/console configurations) and attention performance in addition to identifying optimal real-time feedback for drivers with different demographics.

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