Institution
GE Energy Infrastructure
About: GE Energy Infrastructure is a based out in . It is known for research contribution in the topics: Wind power & Turbine. The organization has 1954 authors who have published 1781 publications receiving 20200 citations.
Topics: Wind power, Turbine, Rotor (electric), Combustion, Gas compressor
Papers published on a yearly basis
Papers
More filters
••
01 Jan 2009TL;DR: In this paper, GE Energy has carried out a preliminary characterization of the combustion of an extensive range of naphtha/bio-ethanol blends with up to 95% ethanol.
Abstract: There is a sustained interest worldwide for liquid biofuels that form a numerous and very contrasting family. Among biofuels, bio-ethanol is a natural candidate in regions such as Brazil and India, where similar petroleum-based fuels such as naphtha have been utilized as gas turbine fuels. While biodiesel is very similar to middle distillates (gasoil), ethanol has some commonalities with volatile petroleum fuels in terms of physical data; however, the small alcohol molecule displays a markedly distinct combustion behavior. As part of a development program devoted to biofuels and in collaboration with the major Indian utility Reliance Energy, GE Energy has carried out a preliminary characterization of the combustion of an extensive range of naphtha/bio-ethanol blends with up to 95% ethanol. This test was performed in Spring 2008 on a Frame 6B equipped with standard combustors at the Goa power plant, state of Goa, India. All blends showed excellent combustion performances, low NOx emissions and virtually zero emissions of carbon monoxide (CO), unburned hydrocarbons (UHC) and sulphur oxides (Sox).Copyright © 2009 by ASME
14 citations
••
16 Jun 2014TL;DR: In this article, a procedure to transpose pressure measurements into the spatial pressure distribution was developed and validated on a wide set of industrial test-models, with particular reference to signals analysis and manipulation as well as sensors positioning.
Abstract: An accurate estimation of rotating stall is one of the key technologies for high-pressure centrifugal compressors, as it is often connected with the onset of detrimental subsynchronous vibrations which can prevent the machine from operating beyond this limit.With particular reference to the vaneless diffuser stall, much research has been directed at investigating the physics of the phenomenon, the influence of the main design parameters and the prediction of the stall inception. Few of them, however, focused attention on the evaluation of the aerodynamic unbalance due to the induced pressure field in the diffuser, which, however, could provide a valuable contribution to both the identification of the actual operating conditions and the enhancement of the compressor operating range by a suitable choice of the control strategy.Although advanced experimental techniques have been successfully applied to the recognition of the stall pattern in a vaneless diffuser, the most suitable solution for a wider application in industrial test-models is based on dynamic pressure measurements by means of a reduced number of probes. Within this context, a procedure to transpose pressure measurements into the spatial pressure distribution was developed and validated on a wide set of industrial test-models.In this work, the main guidelines of the procedure are presented and discussed, with particular reference to signals analysis and manipulation as well as sensors positioning.Moreover, the prospects of using a higher number of sensors is analyzed and compared to standard solutions using a limited probes number.Copyright © 2014 by ASME
14 citations
••
TL;DR: In this paper, the authors developed a platform-tool to support the automatic optimization of a steel structure using virtual prototyping tools and genetic algorithms, focusing on the design of heavy steel structures for oil & gas power plants.
14 citations
•
09 Apr 2009TL;DR: In this article, the free point of a downhole pipe in a wellbore was determined by measuring the amplitude or phase of the induced current relative to the oscillating voltage, while passing the tool through a length of unstressed pipe.
Abstract: Electromagnetic free point tools are configured to determine the free point of a downhole pipe in a wellbore utilizing the amplitude or phase change in a transmitted signal for stressed and unstressed pipe. Certain examples of electromagnetic free point tools comprise a housing, one or more transmitter coils, one or more receiver coils, each coil spaced apart from one another, a power source for applying an oscillating voltage to the one or more transmitter coils which then induces a current in the receiver coil(s), and electronics for measuring the induced current in the receiver coil(s). In another embodiment, at least one of the coils is axially adjustable in position within the tool to permit the relative distance between coils to be adjusted to optimize performance of the tool in various conditions. By measuring the amplitude or phase of the induced current relative to the oscillating voltage, a log of the amplitude or phase is generated while passing the tool through a length of unstressed pipe. This process may be repeated while applying a stress to the pipe to generate a second log. By comparing the amplitude or phase of the first and second logs, the free point of the pipe may be ascertained by determining when and where the two logs diverge. This method can also be used to locate collars and measure pipe thickness.
14 citations
••
TL;DR: In this article, the performance of phase-changing absorbents compared to state-of-the-art monoethanolamine (MEA) capture for three different flue gas conditions with CO2 concentrations ranging from 4 mole% to 13 mole%.
14 citations
Authors
Showing all 1954 results
Name | H-index | Papers | Citations |
---|---|---|---|
David J. Eldridge | 57 | 282 | 13436 |
Ranjan Gupta | 38 | 192 | 4463 |
Allen Barnett | 30 | 261 | 3494 |
Nicholas Miller | 29 | 61 | 3250 |
Norman Arnold Turnquist | 29 | 169 | 2650 |
Josef Lutz | 29 | 211 | 3710 |
Enis Tuncer | 28 | 161 | 2500 |
Xiaomo Jiang | 27 | 81 | 3384 |
David W. Pershing | 27 | 79 | 2041 |
Ali Can | 26 | 83 | 4330 |
Richard S. Zhang | 26 | 75 | 2544 |
Manoj Ramprasad Shah | 26 | 152 | 2069 |
Tamaz Guliashvili | 25 | 54 | 2674 |
Frederick Wilson Wheeler | 25 | 85 | 1652 |
Vivek Venugopal Badami | 24 | 60 | 1291 |