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Reliable renewable energy for a new electric infrastructure

Hanley, Charles

This is workshop is about methodologies, tools, techniques, models, training, codes and standards, etc., that can improve reliability of systems while reducing costs. We've intentionally scaled back on presentation time to allow more time for interaction. Sandia's PV Program Vision - Recognition as a world-class facility to develop and integrate new photovoltaic components, systems, and architectures for the future of our electric/energy delivery systems.

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Solar Energy Grid Integration Systems -- Energy Storage (SEGIS-ES)

Hanley, Charles; Huff, Georgianne; Boyes, John D.

This paper describes the concept for augmenting the SEGIS Program (an industry-led effort to greatly enhance the utility of distributed PV systems) with energy storage in residential and small commercial applications (SEGIS-ES). The goal of SEGIS-ES is to develop electrical energy storage components and systems specifically designed and optimized for grid-tied PV applications. This report describes the scope of the proposed SEGIS-ES Program and why it will be necessary to integrate energy storage with PV systems as PV-generated energy becomes more prevalent on the nation's utility grid. It also discusses the applications for which energy storage is most suited and for which it will provide the greatest economic and operational benefits to customers and utilities. Included is a detailed summary of the various storage technologies available, comparisons of their relative costs and development status, and a summary of key R&D needs for PV-storage systems. The report concludes with highlights of areas where further PV-specific R&D is needed and offers recommendations about how to proceed with their development.

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An integrated computer modeling environment for regional land use, air quality, and transportation planning

Hanley, Charles

The Land Use, Air Quality, and Transportation Integrated Modeling Environment (LATIME) represents an integrated approach to computer modeling and simulation of land use allocation, travel demand, and mobile source emissions for the Albuquerque, New Mexico, area. This environment provides predictive capability combined with a graphical and geographical interface. The graphical interface shows the causal relationships between data and policy scenarios and supports alternative model formulations. Scenarios are launched from within a Geographic Information System (GIS), and data produced by each model component at each time step within a simulation is stored in the GIS. A menu-driven query system is utilized to review link-based results and regional and area-wide results. These results can also be compared across time or between alternative land use scenarios. Using this environment, policies can be developed and implemented based on comparative analysis, rather than on single-step future projections. 16 refs., 3 figs., 2 tabs.

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Results 26–44 of 44
Results 26–44 of 44