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Title: Energy Systems Integration: Systems Performance Lab

Abstract

This fact sheet highlights the Systems Performance Lab in the ESIF, including the type of research it can host.

Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy Communications and Outreach
OSTI Identifier:
1324390
Report Number(s):
NREL/FS-5C00-63736
DOE Contract Number:
AC36-08GO28308
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; smart home; buildings; residential; Systems Performance Lab; SPL; Energy Systems Integration Facility; ESIF

Citation Formats

. Energy Systems Integration: Systems Performance Lab. United States: N. p., 2016. Web.
. Energy Systems Integration: Systems Performance Lab. United States.
. 2016. "Energy Systems Integration: Systems Performance Lab". United States. doi:. https://www.osti.gov/servlets/purl/1324390.
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title = {Energy Systems Integration: Systems Performance Lab},
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abstractNote = {This fact sheet highlights the Systems Performance Lab in the ESIF, including the type of research it can host.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 9
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  • At NREL's Energy Systems Integration Facility (ESIF) in Golden, Colo., scientists and engineers work to overcome challenges related to how the nation generates, delivers and uses energy by modernizing the interplay between energy sources, infrastructure, and data. Test facilities include a megawatt-scale ac electric grid, photovoltaic simulators and a load bank. Additionally, a high performance computing data center (HPCDC) is dedicated to advancing renewable energy and energy efficient technologies. A key design strategy is to use waste heat from the HPCDC to heat parts of the building. The ESIF boasts an annual EUI of 168.3 kBtu/ft2. This article describes themore » building's procurement, design and first year of performance.« less
  • NREL is collaborating with Cogent Energy Systems (Cogent) to introduce small-scale waste-to-energy technology in microgrids.The focus of the project is to test and demonstrate the feasibility, reliability, and usefulness of integrating electricity generated using a simulated syngas composition matching the syngas stream to be produced by a HelioStorm-based WTE gasifier to power a microgrid as a means of addressing and complementing the intermittency of other sources of electricity.
  • This fact sheet presents highlights from the Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications, which provides detailed information about solar resource data and the resulting data products needed for planning each stage of large concentrating solar power systems, from initial site selection to system operations.
  • This thesis addresses the issue of being able to efficiently solve large, complex computer system models by means of a unified technique that employs a combination of product-form queueing networks and Generalized Stochastic Petri Nets. An algorithm is developed for the solution of homogeneous queueing networks with many processors and many classes. Because of the exponential complexity in terms of the number of classes for the general-purpose algorithms like Mean Value Analysis, medium to large-sized networks are beyond tractability. A particular class of queueing network is identified that is suitable for modeling local area networks; then a polynomial algorithm ismore » developed for the solution of this category of networks that exploits the inherent symmetry of these networks. The author then describes the central ideas behind a new modeling technique that combines the best features of product form queueing networks and Generalized Stochastic Petri Nets. He explains how this technique is related to many other existing techniques. This technique has the following features: (1) a representational power and/or flexibility comparable to that of Generalized Stochastic Petri Nets: (2) an accuracy comparable to that found when using a complete set of global balance equations for the system model; and (3) an efficiency comparable to that of product-form queueing networks.« less