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Tucker, David A.

Publications and source records attributed to Tucker, David A..

6 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2018

Abstract - Cooperative Research and Development Agreement between Ames National Laboratory and National Energy Technology Laboratory AGMT-0609

The goal of this project is to develop a merged environment for simulation and analysis (MESA) at the National Energy Technology Laboratory’s (NETL) Hybrid Performance (Hyper) project laboratory. The MESA sensor lab developed as a component of this research will provide a development platform for investigating: 1) advanced control strategies, 2) testing and development of sensor hardware, 3) various modeling in-the-loop algorithms and 4) other advanced computational algorithms for improved plant performance using sensors, real-time models, and complex systems tools.

24 POWER TRANSMISSION AND DISTRIBUTION↗
DOE OSTI2018

Cooperative Research and Development Agreement between University of Genoa and National Energy Technology Laboratory [Abstract]

The production, transportation, storage, and consumption of oil and gas resources rely on a global network of infrastructure, which is maintained and regulated by numerous commercial, non-profit, academia, and local to national government entities. Thus, information about this infrastructure is often highly variable in the quality, quantity and accessibility of the data. However, integrating and standardizing these disparate data sets into a global, open-access assessment and inventory of oil and gas infrastructure can provide a framework to support advanced analyses, including predictions and assessments of global methane infrastructure and emissions risk, identify information gaps, evaluate economic costs, and support a range of decision making needs. At present, there is no single point of access to authoritative, publicly available oil and gas infrastructure data. In addition, conventional online search approaches are increasingly inefficient as the volume and variety of open-data online continues to evolve and increase. Consequently, there exists a great deal of uncertainty surrounding the extent, gaps, and quality of infrastructure data across the world. This six-month effort used a combination of expert driven and machine learning techniques to build a virtual taxonomy of global oil and gas infrastructure to provide an open data foundation for addressing a range of stakeholder questions and needs.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
NASA NTRS2007

A Case Study Using Modeling and Simulation to Predict Logistics Supply Chain Issues

Optimization of critical supply chains to deliver thousands of parts, materials, sub-assemblies, and vehicle structures as needed is vital to the success of the Constellation Program. Thorough analysis needs to be performed on the integrated supply chain processes to plan, source, make, deliver, and return critical items efficiently. Process modeling provides simulation technology-based, predictive solutions for supply chain problems which enable decision makers to reduce costs, accelerate cycle time and improve business performance. For example, United Space Alliance, LLC utilized this approach in late 2006 to build simulation models that recreated shuttle orbiter thruster failures and predicted the potential impact of thruster removals on logistics spare assets. The main objective was the early identification of possible problems in providing thruster spares for the remainder of the Shuttle Flight Manifest. After extensive analysis the model results were used to quantify potential problems and led to improvement actions in the supply chain. Similarly the proper modeling and analysis of Constellation parts, materials, operations, and information flows will help ensure the efficiency of the critical logistics supply chains and the overall success of the program.

Tucker, David A.↗