Institution
Office of Scientific and Technical Information
Government•Oak Ridge, Tennessee, United States•
About: Office of Scientific and Technical Information is a government organization based out in Oak Ridge, Tennessee, United States. It is known for research contribution in the topics: Wind power & Renewable energy. The organization has 1352 authors who have published 1322 publications receiving 26018 citations. The organization is also known as: US Department of Energy, Office of Scientific and Technical Information & Department of Energy, Office of Scientific and Technical Information.
Papers published on a yearly basis
Papers
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29 Jul 2005TL;DR: The thermochemical database of species involved in combustion processes is and has been available for free use for over 25 years as discussed by the authors, which contains more than 1300 species, specifically organic molecules and radicals, but also inorganic species connected to combustion and air pollution.
Abstract: The thermochemical database of species involved in combustion processes is and has been available for free use for over 25 years. It was first published in print in 1984, approximately 8 years after it was first assembled, and contained 215 species at the time. This is the 7th printed edition and most likely will be the last one in print in the present format, which involves substantial manual labor. The database currently contains more than 1300 species, specifically organic molecules and radicals, but also inorganic species connected to combustion and air pollution. Since 1991 this database is freely available on the internet, at the Technion-IIT ftp server, and it is continuously expanded and corrected. The database is mirrored daily at an official mirror site, and at random at about a dozen unofficial mirror and 'finger' sites. The present edition contains numerous corrections and many recalculations of data of provisory type by the G3//B3LYP method, a high-accuracy composite ab initio calculation. About 300 species are newly calculated and are not yet published elsewhere. In anticipation of the full coupling, which is under development, the database started incorporating the available (as yet unpublished) values from Active Thermochemical Tables. The electronic version nowmore » also contains an XML file of the main database to allow transfer to other formats and ease finding specific information of interest. The database is used by scientists, educators, engineers and students at all levels, dealing primarily with combustion and air pollution, jet engines, rocket propulsion, fireworks, but also by researchers involved in upper atmosphere kinetics, astrophysics, abrasion metallurgy, etc. This introductory article contains explanations of the database and the means to use it, its sources, ways of calculation, and assessments of the accuracy of data.« less
790 citations
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01 Oct 2003TL;DR: In this article, the authors describe the development, validation, and use of a heat transfer model implemented in Engineering Equation Solver, which determines the performance of a parabolic trough solar collector's linear receiver, also called a heat collector element.
Abstract: This report describes the development, validation, and use of a heat transfer model implemented in Engineering Equation Solver. The model determines the performance of a parabolic trough solar collector's linear receiver, also called a heat collector element. All heat transfer and thermodynamic equations, optical properties, and parameters used in the model are discussed. The modeling assumptions and limitations are also discussed, along with recommendations for model improvement.
667 citations
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01 Jan 2005TL;DR: AeroDyn as discussed by the authors is a set of routines used in conjunction with an aeroelastic simulation code to predict the aerodynamics of horizontal axis wind turbines, including the effect of wind turbine wakes.
Abstract: AeroDyn is a set of routines used in conjunction with an aeroelastic simulation code to predict the aerodynamics of horizontal axis wind turbines. These subroutines provide several different models whose theoretical bases are described in this manual. AeroDyn contains two models for calculating the effect of wind turbine wakes: the blade element momentum theory and the generalized dynamic-wake theory. Blade element momentum theory is the classical standard used by many wind turbine designers and generalized dynamic wake theory is a more recent model useful for modeling skewed and unsteady wake dynamics. When using the blade element momentum theory, various corrections are available for the user, such as incorporating the aerodynamic effects of tip losses, hub losses, and skewed wakes. With the generalized dynamic wake, all of these effects are automatically included. Both of these methods are used to calculate the axial induced velocities from the wake in the rotor plane. The user also has the option of calculating the rotational induced velocity. In addition, AeroDyn contains an important model for dynamic stall based on the semi-empirical Beddoes-Leishman model. This model is particularly important for yawed wind turbines. Another aerodynamic model in AeroDyn is a tower shadow model based on potentialmore » flow around a cylinder and an expanding wake. Finally, AeroDyn has the ability to read several different formats of wind input, including single-point hub-height wind files or multiple-point turbulent winds.« less
625 citations
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TL;DR: In this article, the authors predict that the introduction of PHEVs could impact demand peaks, reduce reserve margins, and increase prices, and the type of power generation used to recharge the PHEV and associated emissions will depend upon the region and the timing of the recharge.
599 citations
Authors
Showing all 1352 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alex Zunger | 128 | 826 | 78798 |
Su-Huai Wei | 114 | 664 | 51234 |
Eli Yablonovitch | 86 | 512 | 48842 |
Arthur J. Nozik | 84 | 266 | 34277 |
Leon M. Tolbert | 78 | 541 | 24431 |
Zhen Chen | 71 | 647 | 20784 |
Sarah Kurtz | 63 | 383 | 18604 |
Tamara G. Kolda | 56 | 171 | 21859 |
E.D. Fredrickson | 55 | 324 | 10544 |
Ning Lu | 55 | 398 | 13614 |
Paul Denholm | 54 | 166 | 11589 |
Michael Milligan | 53 | 170 | 9391 |
Sean E. Shaheen | 52 | 142 | 14249 |
Daniel J. Friedman | 51 | 322 | 11407 |
Venkatesh Narayanamurti | 49 | 258 | 9399 |