Powered by Deep Web Technologies
Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Long-Term Evaluation of Temperature Profiles Measured by an Operational Raman Lidar  

Science Journals Connector (OSTI)

This study investigates the accuracy and calibration stability of temperature profiles derived from an operational Raman lidar over a 2-yr period from 1 January 2009 to 31 December 2010. The lidar, which uses the rotational Raman technique for ...

Rob K. Newsom; David D. Turner; John E. M. Goldsmith

2013-08-01T23:59:59.000Z

2

Raman lidar profiling of water vapor and aerosols over the ARM SGP Site  

SciTech Connect (OSTI)

The authors have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. The Raman lidar sytem is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols. These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. The authors have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.

Ferrare, R.A.

2000-01-09T23:59:59.000Z

3

RAMAN LIDAR PROFILING OF WATER VAPOR AND AEROSOLS OVER THE ARM SGP SITE.  

SciTech Connect (OSTI)

We have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. This Raman lidar system is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols (Goldsmith et al., 1998). These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. We have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES) (Feltz et al., 1998; Turner et al., 1999). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.

FERRARE,R.A.

2000-01-09T23:59:59.000Z

4

Raman Lidar (RL) Handbook  

SciTech Connect (OSTI)

The Raman lidar at the ARM Climate Research Facility (ACRF) Southern Great Plains (SGP) Central Facility (SGPRL) is an active, ground-based laser remote sensing instrument that measures height and time resolved profiles of water vapor mixing ratio and several cloud- and aerosol-related quantities. The system is a non-commercial custom-built instrument developed by Sandia National Laboratories specifically for the ARM Program. It is fully computer automated, and will run unattended for many days following a brief (~5-minute) startup period. The self-contained system (requiring only external electrical power) is housed in a climate-controlled 8’x8’x20’ standard shipping container.

Newsom, RK

2009-03-01T23:59:59.000Z

5

DOE/SC-ARM/TR-120 Raman Lidar Profiles-Temperature  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

0 0 Raman Lidar Profiles-Temperature (RLPROFTEMP) Value-Added Product RK Newsom C Sivaraman SA McFarlane October 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

6

Raman lidar/AERI PBL Height Product  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

Ferrare, Richard

7

DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

0 0 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report R Newsom January 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

8

Spaceborne profiling of atmospheric temperature and particle extinction with pure rotational Raman lidar and of relative humidity in combination with differential absorption lidar: performance simulations  

SciTech Connect (OSTI)

The performance of a spaceborne temperature lidar based on the pure rotational Raman (RR) technique in the UV has been simulated. Results show that such a system deployed onboard a low-Earth-orbit satellite would provide global-scale clear-sky temperature measurements in the troposphere and lower stratosphere with precisions that satisfy World Meteorological Organization (WMO) threshold observational requirements for numerical weather prediction and climate research applications. Furthermore, nighttime temperature measurements would still be within the WMO threshold observational requirements in the presence of several cloud structures. The performance of aerosol extinction measurements from space, which can be carried out simultaneously with temperature measurements by RR lidar, is also assessed. Furthermore, we discuss simulations of relative humidity measurements from space obtained from RR temperature measurements and water-vapor data measured with the differential absorption lidar (DIAL) technique.

Di Girolamo, Paolo; Behrendt, Andreas; Wulfmeyer, Volker

2006-04-10T23:59:59.000Z

9

Raman Lidar Receives Improvements  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

central facility is receiving upgrades to its environmental controls. This ground-based remote sensing instrument uses a laser to measure vertical profiles of water vapor mixing...

10

Raman lidar and MPL Measurements during ALIVE  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Raman lidar and MPL Measurements during ALIVE Raman lidar and MPL Measurements during ALIVE Ferrare, Richard NASA Langley Research Center Turner, David University of Wisconsin-Madison Flynn, Connor Pacific Northwest National Laboratory Petty, Diana Pacific Northwest National Laboratory Mendoza, Albert Pacific Northwest National Laboratory Clayton, Marian NASA Langley Research Center Schmid, Beat Bay Area Environmental Research Institute Category: Field Campaigns Analysis of the aerosol and water vapor data collected by the Raman lidar during the May 2003 Aerosol IOP indicated that the sensitivity of the lidar was significantly lower than when the lidar was initially deployed. This decrease in sensitivity contributed to a significant high bias of the Raman lidar aerosol extinction measurements in relation to airborne Sun

11

2.1 RAMAN LIDAR PROFILING OF WATER VAPOR AND AEROSOLS OVER THE ARM SGP SITE  

E-Print Network [OSTI]

with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors with the use of narrowband (~0.4 nm bandpass) filters, reduces the background skylight and, therefore

12

Ozone Measurements at Geesthacht (53.4° N, 10.4° E) with an Advanced Raman Lidar  

Science Journals Connector (OSTI)

An advanced Raman lidar, which measures ozone, water vapor, aerosol backscatter, and extinction profiles simoultaneously and independently, has been in routine operation at Geesthacht since February 1995. Results...

Marcus Seiwazi; Jens Reichardt…

1997-01-01T23:59:59.000Z

13

Raman Lidar Measurements of Aerosols and Water Vapor During the...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

modifications reduced but could not eliminate these adverse effects. The Raman lidar water vapor (aerosol extinction) measurements produced by these modified algorithms were,...

14

Towards quantifying mesoscale flows in the troposphere using Raman lidar and sondes  

SciTech Connect (OSTI)

Water vapor plays an important role in the energetics of the boundary layer processes which in turn play a key role in regulating regional and global climate. It plays a primary role in Earth`s hydrological cycle, in radiation balance as a direct absorber of infrared radiation, and in atmospheric circulation as a latent heat energy source as well as in determining cloud development and atmospheric stability. Water vapor concentration, expressed as a mass mixing ratio, is conserved in all meteorological processes except condensation and evaporation. This property makes it an ideal choice for studying many of the atmosphere`s dynamic features. Raman scattering measurements from lidar also allow retrieval of water vapor mixing ratio profiles at high temporal and vertical resolution. Raman lidars sense water vapor to altitudes not achievable with towers and surface systems, sample the atmosphere at much higher temporal resolution than radiosondes or satellites, and do not require strong vertical gradients or turbulent fluctuations in temperature that is required by acoustic sounders and radars. Analysis of highly resolved water vapor profiles are used here to characterize two important mesoscale flows: thunderstorm outflows and a cold front passage.

Demoz, B.; Evans, K. [Univ. of Maryland Baltimore County, Baltimore, MD (United States); Starr, D. [NASA, Greenbelt, MD (United States). Goddard Space Flight Center] [and others

1998-03-01T23:59:59.000Z

15

Macrophysical Properties of Tropical Cirrus Clouds from the CALIPSO Satellite and from Ground-based Micropulse and Raman Lidars  

SciTech Connect (OSTI)

Lidar observations of cirrus cloud macrophysical properties over the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program Darwin, Australia site are compared from the Cloud-Aerosol Lidar and In- frared Pathfinder Satellite Observation (CALIPSO) satellite, the ground-based ARM micropulse lidar (MPL), and the ARM Raman lidar (RL). Comparisons are made using the subset of profiles where the lidar beam is not fully attenuated. Daytime measurements using the RL are shown to be relatively unaffected by the solar background and are therefore suited for checking the validity of diurnal cycles. RL and CALIPSO cloud fraction profiles show good agreement while the MPL detects significantly less cirrus, particularly during the daytime. Both MPL and CALIPSO observations show that cirrus clouds occur less frequently during the day than at night at all altitudes. In contrast, the RL diurnal cy- cle is significantly different than zero only below about 11 km; where it is the opposite sign (i.e. more clouds during the daytime). For cirrus geomet- rical thickness, the MPL and CALIPSO observations agree well and both datasets have signficantly thinner clouds during the daytime than the RL. From the examination of hourly MPL and RL cirrus cloud thickness and through the application of daytime detection limits to all CALIPSO data we find that the decreased MPL and CALIPSO cloud thickness during the daytime is very likely a result of increased daytime noise. This study highlights the vast im- provement the RL provides (compared to the MPL) in the ARM program's ability to observe tropical cirrus clouds as well as a valuable ground-based lidar dataset for the validation of CALIPSO observations and to help im- prove our understanding of tropical cirrus clouds.

Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.; Sivaraman, Chitra; Vaughan, Mark A.; Winker, D.; Turner, David D.

2013-08-27T23:59:59.000Z

16

Comparison of temperature and humidity profiles with elastic-backscatter lidar data  

SciTech Connect (OSTI)

This contribution analyzes elastic-backscatter lidar data and temperature and humidity profiles from radiosondes acquired in Barcelona in July 1992. Elastic-backscatter lidar data reveal the distribution of aerosols within the volume of atmosphere scanned. By comparing this information with temperature and humidity profiles of the atmosphere at a similar time, we are able to asses de relationship among aerosol distribution and atmospheric stability or water content, respectively. Comparisons have shown how lidar`s revealed layers of aerosols correspond to atmospheric layers with different stability condition and water content.

Soriano, C. [Universidad Politecnica de Cataluna, Barcelona (Spain)]|[Los Alamos National Lab., NM (United States); Buttler, W.T. [Los Alamos National Lab., NM (United States); Baldasano, J.M. [Universidad Politecnica de Cataluna, Barcelona (Spain)

1995-04-01T23:59:59.000Z

17

Impact of airborne Doppler wind lidar profiles on numerical simulations of a tropical cyclone  

E-Print Network [OSTI]

Click Here for Full Article Impact of airborne Doppler wind lidar profiles on numerical simulations Regional Campaign (TPARC) field experiment in 2008, an airborne Doppler wind lidar (DWL) was onboard the U measurements on the numerical simulation of Typhoon Nuri (2008) in its formation phase. With an advanced

Pu, Zhaoxia

18

Posters Scanning Raman Lidar Measurements of Atmospheric Water Vapor and Aerosols  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

5 5 Posters Scanning Raman Lidar Measurements of Atmospheric Water Vapor and Aerosols R. A. Ferrare and K. D. Evans (a) Hughes STX Corporation Lanham, Maryland S. H. Melfi and D. N. Whiteman NASA/Goddard Space Flight Center Greenbelt, Maryland The principal objective of the Department of Energy's (DOE) Atmospheric Radiation Measurement Program (ARM) is to develop a better understanding of the atmospheric radiative balance in order to improve the parameterization of radiative processes in general circulation models (GCMs) which are used to study climate change. Meeting this objective requires detailed measurements of both water vapor and aerosols since these atmospheric constituents affect the radiation balance directly, through scattering and absorption of solar and

19

Cloud Effects on Radiative Heating Rate Profiles over Darwin using ARM and A-train Radar/Lidar Observations  

SciTech Connect (OSTI)

Observations of clouds from the ground-based U.S. Department of Energy Atmospheric Radiation Measurement program (ARM) and satellite-based A-train are used to compute cloud radiative forcing profiles over the ARM Darwin, Australia site. Cloud properties are obtained from both radar (the ARM Millimeter Cloud Radar (MMCR) and the CloudSat satellite in the A-train) and lidar (the ARM Micropulse lidar (MPL) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite in the A-train) observations. Cloud microphysical properties are taken from combined radar and lidar retrievals for ice clouds and radar only or lidar only retrievals for liquid clouds. Large, statistically significant differences of up to 1.43 K/day exist between the mean ARM and A-train net cloud radiative forcing profiles. The majority of the difference in cloud radiative forcing profiles is shown to be due to a large difference in the cloud fraction above 12 km. Above this altitude the A-train cloud fraction is significantly larger because more clouds are detected by CALIPSO than by the ground-based MPL. It is shown that the MPL is unable to observe as many high clouds as CALIPSO due to being more frequently attenuated and a poorer sensitivity even in otherwise clear-sky conditions. After accounting for cloud fraction differences and instrument sampling differences due to viewing platform we determined that differences in cloud radiative forcing due to the retrieved ice cloud properties is relatively small. This study demonstrates that A-train observations are better suited for the calculation cloud radiative forcing profiles. In addition, we find that it is necessary to supplement CloudSat with CALIPSO observations to obtain accurate cloud radiative forcing profiles since a large portion of clouds at Darwin are detected by CALIPSO only.

Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.

2013-06-11T23:59:59.000Z

20

Raman excitation profiles for the (n1, n2) assignment in carbon nanotubes  

E-Print Network [OSTI]

Raman excitation profiles for the (n1, n2) assignment in carbon nanotubes H. Telg , J. Maultzsch indices n1 and n2 in semiconducting and metallic nanotubes was performed comparing resonance Raman nanotube families. Ever since the discovery of how to keep isolated nanotubes from rebundeling in solu

Nabben, Reinhard

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Raman excitation profile of the G band in single-chirality carbon nanotubes  

E-Print Network [OSTI]

We present in this work measurements of the Raman excitation profile of the high-energy phonons (G band) in single-chirality (n,m) semiconducting single-wall carbon nanotubes using more than 70 laser excitation energies, ...

Moura, L. G.

22

E-Print Network 3.0 - aerosol lidar profilometer Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CLASIC Summary: Lidar RH Changes in aerosol properties and RH near clouds Airborne NASA LaRC HSRL, ARM SGP ground... ) RamanLidar RelativeHumidityRamanLidar Aerosol Extensive...

23

Measuring depth profiles of residual stress with Raman spectroscopy  

SciTech Connect (OSTI)

Knowledge of the variation of residual stress is a very important factor in understanding the properties of machined surfaces. The nature of the residual stress can determine a part`s susceptibility to wear deformation, and cracking. Raman spectroscopy is known to be a very useful technique for measuring residual stress in many materials. These measurements are routinely made with a lateral resolution of 1{mu}m and an accuracy of 0.1 kbar. The variation of stress with depth; however, has not received much attention in the past. A novel technique has been developed that allows quantitative measurement of the variation of the residual stress with depth with an accuracy of 10nm in the z direction. Qualitative techniques for determining whether the stress is varying with depth are presented. It is also demonstrated that when the stress is changing over the volume sampled, errors can be introduced if the variation of the stress with depth is ignored. Computer aided data analysis is used to determine the depth dependence of the residual stress.

Enloe, W.S.; Sparks, R.G.; Paesler, M.A.

1988-12-01T23:59:59.000Z

24

Q. J. R. Meteorol. Soc. (2003), 129, pp. 30793098 doi: 10.1256/qj. Simulation of Wind Profiles from a Space-borne Doppler Wind Lidar  

E-Print Network [OSTI]

Q. J. R. Meteorol. Soc. (2003), 129, pp. 3079­3098 doi: 10.1256/qj. Simulation of Wind Profiles on numerical weather prediction and climate processes. This paper describes the simulation of Aeolus LOS wind from a Space-borne Doppler Wind Lidar By G.J. MARSEILLE and A. STOFFELEN KNMI, The Netherlands

Stoffelen, Ad

25

Raman-shifted KrF laser radiation with low amplified spontaneous emission for a rotational Raman daytime-temperature lidar  

SciTech Connect (OSTI)

Various configurations of a tunable two-stage KrF laser have been investigated for providing powerful laser pulses with very low amplified spontaneous emission (ASE). The lowest fraction (0.00017%) of ASE was attained with a single-pass amplifier and a phase-conjugate Brillouin mirror. The most suitable application envisaged for the laser source, i.e., remote daytime-temperature measurement by means of rotational Raman scattering, is a dedicated oscillator--amplifier configuration with an ASE of 0.005% at an output of 300 mJ. The very low values of ASE were measured with the aid of a thallium atomic-vapor filter.

Luckow, F.; Voss, E.; Zeyn, J.; Lahmann, W.; Weitkamp, C.; Michaelis, W. (Institut fuer Physik, GKSS-Forschungszentrum Geesthacht GmbH, D-21502 Geesthacht (Germany))

1994-07-15T23:59:59.000Z

26

Schumann-Runge resonance Raman scattering of O sub 2 : A rotationally resolved excitation profile study  

SciTech Connect (OSTI)

Rotationally resolved resonance Raman spectra and excitation profiles of O{sub 2} excited with narrow-band radiation tunable throughout the {nu}{prime} = 5 absorption band of the Schumann-Runge (SR) region (190-192 nm) are reported. The pressure dependence and scattering polarization unambiguously identify all the observed resonant emission intensity as Raman scattering (both resonant and off-resonant), not resonance fluorescence. This characterization is in contrast to the description of the resonant emission of the SR absorption bands offered in recent laser-excited studies. Excitation profile analysis determines rotationally specific lifetimes of the {nu}{prime} = 5 level. A homogeneous line width of 2.05 {plus minus} 0.10 cm{sup {minus}1} is determined for the rotational levels of this vibronic band. Within experimental uncertainty, this line width/lifetime is independent of the rotational angular momentum of the resonant predissociative rovibronic levels of the {nu}{prime} = 5 band. This value is in excellent agreement with the results of the most recent SR absorption contour analysis but is not in quantitative agreement with the most recent theoretical modeling of the rovibronic dynamics of the SR absorption bands.

Zhang, Y.P.; Ziegler, L.D. (Northeastern Univ., Boston, MA (USA))

1989-09-07T23:59:59.000Z

27

Estimating forest structural characteristics with airborne lidar scanning and a near-real time profiling laser systems  

E-Print Network [OSTI]

LiDAR (Light Detection and Ranging) directly measures canopy vertical structures, and provides an effective remote sensing solution to accurate and spatiallyexplicit mapping of forest characteristics, such as canopy height and Leaf Area Index...

Zhao, Kaiguang

2009-05-15T23:59:59.000Z

28

Lidar Report  

SciTech Connect (OSTI)

This report provides an overview of the LiDAR acquisition methodology employed by Woolpert on the 2009 USDA - Savannah River LiDAR Site Project. LiDAR system parameters and flight and equipment information is also included. The LiDAR data acquisition was executed in ten sessions from February 21 through final reflights on March 2, 2009; using two Leica ALS50-II 150kHz Multi-pulse enabled LiDAR Systems. Specific details about the ALS50-II systems are included in Section 4 of this report.

Wollpert.

2009-04-01T23:59:59.000Z

29

Doppler Lidar–Based Wind-Profile Measurement System for Offshore Wind-Energy and Other Marine Boundary Layer Applications  

Science Journals Connector (OSTI)

Accurate measurement of wind speed profiles aloft in the marine boundary layer is a difficult challenge. The development of offshore wind energy requires accurate information on wind speeds above the surface at least at the levels occupied by ...

Yelena L. Pichugina; Robert M. Banta; W. Alan Brewer; Scott P. Sandberg; R. Michael Hardesty

2012-02-01T23:59:59.000Z

30

Lidar Scanning of Momentum Flux in and above the Atmospheric Surface Layer  

Science Journals Connector (OSTI)

Methods to measure the vertical flux of horizontal momentum using both continuous wave and pulsed Doppler lidar profilers are evaluated. The lidar measurements are compared to momentum flux observations performed with sonic anemometers over flat ...

J. Mann; A. Peña; F. Bingöl; R. Wagner; M. S. Courtney

2010-06-01T23:59:59.000Z

31

ARM - Evaluation Product - MicroPulse LIDAR Cloud Optical Depth (MPLCOD)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ProductsMicroPulse LIDAR Cloud Optical Depth ProductsMicroPulse LIDAR Cloud Optical Depth (MPLCOD) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : MicroPulse LIDAR Cloud Optical Depth (MPLCOD) 1999.05.01 - 2004.05.14 Site(s) SGP General Description The MPLCOD VAP retrieves the column cloud visible optical depth using LIDAR derived backscatter from the MPLNOR (Micro Pulse Lidar Normalized Backscatter) and radiosonde thermodynamic profiles. The optical depth retrieval is derived following Comstock et al. (2001), which retrieves visible optical depth and layer average backscatter-to-extinction ratio (k) at the lidar wavelength for each backscatter profile. Data Information Data Directory Contacts Principal Investigator Jennifer Comstock (509) 372-424

32

Micropulse Lidar (MPL) Handbook  

SciTech Connect (OSTI)

The micropulse lidar (MPL) is a ground-based optical remote sensing system designed primarily to determine the altitude of clouds overhead. The physical principle is the same as for radar. Pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal. From the time delay between each outgoing transmitted pulse and the backscattered signal, the distance to the scatterer is infered. Besides real-time detection of clouds, post-processing of the lidar return can also characterize the extent and properties of aerosol or other particle-laden regions.

Mendoza, A; Flynn, C

2006-05-01T23:59:59.000Z

33

Mobile multiwave lidar complexes  

Science Journals Connector (OSTI)

Multiwave mobile lidar complexes (MLCs) are designed and developed. A number of vehicle-based MLCs are built. The set of complex lidar probing data obtained with the help of MLCs is synchronised in space and time, covers a large area (the operation range of an MLC is 15 km), and is based on a unified methodological approach. The results of probing contain information on the concentration and physical nature of atmospheric aerosol, chemical composition of the gaseous phase of the atmosphere, wind and turbulence. The obtained data form the basis for a complex analysis of the ecological situation and prognosis of its development.

A S Boreysho; M A Konyaev; A V Morozov; A V Pikulik; A V Savin; A V Trilis; S Ya Chakchir; N I Boiko; Yu N Vlasov; S P Nikitaev; A V Rozhnov

2005-01-01T23:59:59.000Z

34

Algorithms and Software Tools for Extracting Coastal Morphological Information from Airborne LiDAR Data  

E-Print Network [OSTI]

coastal forms and processes. This research aims at developing algorithms for automatically extracting coastal morphological information from LiDAR data. The primary methods developed by this research include automated algorithms for beach profile feature...

Gao, Yige

2010-07-14T23:59:59.000Z

35

Development of All-fiber Coherent Doppler Lidar to Measure Atmosphere Wind Speed  

Science Journals Connector (OSTI)

An all-fiber pulsed coherent Doppler lidar is developed to measure wind profiles. The maximum horizontal and vertical range for wind speed is 4.2km and 2km with speed accuracy of...

Liu, Jiqiao; Chen, Weibiao; Zhu, Xiaopeng

36

A Simple Model for Correcting Sodar and Lidar Errors in Complex Terrain  

Science Journals Connector (OSTI)

Ground-based sensing of wind profiles by sodars and lidars is becoming the standard for wind energy and other applications. However, there remain difficulties in complex terrain since the instruments sense wind components in spatially separated ...

Stuart Bradley

2012-12-01T23:59:59.000Z

37

Analysis of mixing layer heights inferred from radiosonde, wind profiler, airborne lidar, airborne microwave temperature profiler, and in-situ aircraft data during the Texas 2000 air quality study in Houston, TX  

E-Print Network [OSTI]

by wind profilers at the Wharton (WH), Liberty (LB), Houston Southwest (HSW), Ellington (EL), and LaMarque (LM) sites.................................................................. 93 18 Skew-T of WH radiosonde data at 1100 UTC...), Houston Southwest (HSW), Ellington (EL), and LaMarque (LM) sites ....................................... 97 21 The ML height distribution at 1600 UTC around the city of Houston...

Smith, Christina Lynn

2005-08-29T23:59:59.000Z

38

Lidar-based Research and Innovation at DTU Wind Energy – a Review  

Science Journals Connector (OSTI)

As wind turbines during the past decade have increased in size so have the challenges met by the atmospheric boundary-layer meteorologists and the wind energy society to measure and characterize the huge-volume wind fields surpassing and driving them. At the DTU Wind Energy test site "Østerild" for huge wind turbines, the hub-height of a recently installed 8 MW Vestas V164 turbine soars 143 meters up above the ground, and its rotor of amazing 164 meters in diameter make the turbine tips flicker 225 meters into the sky. Following the revolution in photonics-based telecommunication at the turn of the Millennium new fibre-based wind lidar technologies emerged and DTU Wind Energy, at that time embedded within Rise National Laboratory, began in collaboration with researchers from wind lidar companies to measure remote sensed wind profiles and turbulence structures within the atmospheric boundary layer with the emerging, at that time new, all-fibre-based 1.55 ? coherent detection wind lidars. Today, ten years later, DTU Wind Energy routinely deploys ground-based vertical profilers instead of met masts for high-precision measurements of mean wind profiles and turbulence profiles. At the departments test site "Høvsøre" DTU Wind Energy also routinely calibrate and accredit wind lidar manufactures wind lidars. Meanwhile however, new methodologies for power curve assessment based on ground-based and nacelle based lidars have also emerged. For improving the turbines power curve assessments and for advancing their control with feed-forward wind measurements experience has also been gained with wind lidars installed on turbine nacelles and integrated into the turbines rotating spinners. A new mobile research infrastructure WindScanner.dk has also emerged at DTU Wind Energy. Wind and turbulence fields are today scanned from sets of three simultaneously in space and time synchronized scanning lidars. One set consists of three fast scanning continuous-wave based wind lidars (short-range system), and another consisting of three synchronized pulsed wind lidar systems (long-range system). Today, wind lidar profilers and WindScanners are routinely deployed and operated during field tests and measurement campaigns. Lidars have been installed and operated from ground, on offshore platforms, and also as scanning lidars integrated in operating turbines. As a result, wind profiles and also detailed 3D scanning of wind and turbulence fields have been achieved: 1) of the free wind aloft, 2) over complex terrain, 3) at coastal ranges with land-sea interfaces, 4) offshore, 5) in turbine inflow induction zone, and 6) of the complex and turbulent flow fields in the wakes inside wind parks.

T Mikkelsen

2014-01-01T23:59:59.000Z

39

Using CO2 Lidar for Standoff Detection of a Perfluorocarbon Tracer in Air  

SciTech Connect (OSTI)

The Tag, Track and Location System Program (TTL) is investigating the use of PFTs as tracers for tagging and tracking items of interest or fallen soldiers. In order for the tagging and tracking to be valuable there must be a location system that can detect the PFTs. This report details the development of an infrared lidar platform for standoff detection of PFTs released into the air from a tagged object or person. Furthering work performed using a table top lidar system in an indoor environment; a mobile mini lidar platform was assembled using an existing Raman lidar platform, a grating tunable CO{sub 2} IR laser, Judson HgCdTe detector and miscellaneous folding optics and electronics. The lidar achieved {approx}200 ppb-m sensitivity in laboratory and indoor testing and was then successfully demonstrated at an outdoor test. The lidar system was able to detect PFTs released into a vehicle from a distance of 100 meters. In its final, fully optimized configuration the lidar was capable of repeatedly detecting PFTs in the air released from tagged vehicles. Responses were immediate and clear. This report details the results of a proof-of-concept demonstration for standoff detection of a perfluorocarbon tracer (PFT) using infrared lidar. The project is part of the Tag, Track and Location System Program and was performed under a contract with Tracer Detection Technology Corp. with funding from the Office of Naval Research. A lidar capable of detecting PFT releases at distance was assembled by modifying an existing Raman lidar platform by incorporating a grating tunable CO{sub 2} IR laser, Judson HgCdTe detector and miscellaneous folding optics and electronics. The lidar achieved {approx}200 ppb-m sensitivity in laboratory and indoor testing and was successfully demonstrated at an outdoor test. The demonstration test (scripted by the sponsor) consisted of three parked cars, two of which were tagged with the PFT. The cars were located 70 (closest) to 100 meters (farthest) from the lidar (the lidar beam path was limited by site constraints and was {approx}100 meters). When one door of each of the cars was opened (sequentially), the lidar was clearly able to determine which vehicles had been tagged and which one was not. The lidar is probably capable of greater than 0.5 kilometer standoff distances based on the extreme amount of signal return achieved (so much that the system had to be de-tuned). The BNL lidar system, while optimized to the extent possible with available parts and budget, was not as sensitive as it could be. Steps to improve the lidar are detailed in this report and include using a better laser system (for more stable power output), dual wavelengths (to improve the sensitivity and allow common mode noise reduction and to allow the use of the lidar in a scanning configuration), heterodyning (for range resolved PFT detection) and an off-axis optical configuration (for improved near field sensitivity).

Heiser,J.H.; Smith, S.; Sedlacek, A.

2008-02-06T23:59:59.000Z

40

Can Wind Lidars Measure Turbulence?  

Science Journals Connector (OSTI)

Modeling of the systematic errors in the second-order moments of wind speeds measured by continuous-wave (ZephIR) and pulsed (WindCube) lidars is presented. These lidars use the conical scanning technique to measure the velocity field. The model ...

A. Sathe; J. Mann; J. Gottschall; M. S. Courtney

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Raman Nanometrology of Graphene  

E-Print Network [OSTI]

13 Optical image of the graphene layers. . . . . .Micro-Raman Spectroscopy of Grapheneand Graphene Multi-Layers . . . . Raman Spectroscopy

Calizo, Irene Gonzales

2009-01-01T23:59:59.000Z

42

NASA multipurpose airborne DIAL system and measurements of ozone and aerosol profiles  

Science Journals Connector (OSTI)

An airborne differential absorption lidar (DIAL) system has been developed for the remote measurement of gas and aerosol profiles in the troposphere and lower stratosphere. The...

Browell, E V; Carter, A F; Shipley, S T; Allen, R J; Butler, C F; Mayo, M N; Siviter, J H; Hall, W M

1983-01-01T23:59:59.000Z

43

NASA DC-8 Airborne Scanning Lidar System  

Science Journals Connector (OSTI)

A scanning lidar system is being developed for installation on the NASA DC-8 atmospheric research aircraft to support...in-situ aerosol and gas measurements. Design and objectives of the DC-8 scanning lidar are p...

Norman B. Nielsen; Edward E. Uthe…

1997-01-01T23:59:59.000Z

44

A Four-Year Lidar–Sun Photometer Aerosol Study at São Paulo, Brazil  

Science Journals Connector (OSTI)

A backscattering lidar system, the first of this kind in Brazil, has been used to provide the vertical profile of the aerosol backscatter coefficient at 532 nm up to an altitude of 4–6 km above sea level (ASL), in a suburban area in the city of ...

Eduardo Landulfo; Alexandros Papayannis; Ani Sobral Torres; Sandro Toshio Uehara; Lucila Maria Viola Pozzetti; Caio Alencar de Matos; Patricia Sawamura; Walter Morinobu Nakaema; Wellington de Jesus

2008-08-01T23:59:59.000Z

45

Lidars in Wind Energy Jakob Mann, Ferhat Bingl, Torben Mikkelsen, Ioannis Antoniou, Mike  

E-Print Network [OSTI]

Lidars in Wind Energy Jakob Mann, Ferhat Bingöl, Torben Mikkelsen, Ioannis Antoniou, Mike Courtney, Gunner Larsen, Ebba Dellwik Juan Jose Trujillo* and Hans E. Jørgensen Wind Energy Department Risø of the presentation · Introduction to wind energy · Accurate profiles of the mean wind speed · Wakes behind turbines

46

Fluorescence lidar monitoring of historic buildings  

Science Journals Connector (OSTI)

Laser-induced fluorescence spectra detected with high-spectral-resolution lidar on the facades of the Baptistery and the Cathedral in Parma are presented and discussed. The...

Raimondi, Valentina; Cecchi, Giovanna; Pantani, Luca; Chiari, Roberto

1998-01-01T23:59:59.000Z

47

Raman spectra of terpenes  

Science Journals Connector (OSTI)

The available Raman spectral data on terpenic compounds are tabulated and reviewed. It is concluded that the identification of the constituents of a mixture of terpenes by Raman effect methods cannot give trus...

W. Rogie Angus

1938-11-01T23:59:59.000Z

48

Airborne Doppler Lidar Wind Field Measurements  

Science Journals Connector (OSTI)

A coherent Doppler lidar has been used in an aircraft to measure the 2-dimensional wind field in a number of different atmospheric situations. The lidar, a pulsed CO2 system, was installed in the NASA Convair 990. Galileo II, and flown in a ...

J. Bilbro; G. Fichtl; D. Fitzjarrald; M. Krause; R. Lee

1984-04-01T23:59:59.000Z

49

Definition: LiDAR | Open Energy Information  

Open Energy Info (EERE)

LiDAR LiDAR Jump to: navigation, search Dictionary.png LiDAR Light Detection and Ranging (LiDAR) is an active remote sensing technology that uses optical measurements of scattered light to find range (Young, 2006). Measurements can be made from aircraft- or land-based sensors. Distance to an object is determined by the time delay between transmission and detection of a laser pulse. It is accurate to within 0.1 m (at 1-m resolution, 0.3 m at 3-m resolution) and has the ability to measure the land surface elevation beneath the vegetation canopy. View on Wikipedia Wikipedia Definition Also Known As Light Detection And Ranging Related Terms DEM, Digital Elevation Model tran LikeLike UnlikeLike You like this.Sign Up to see what your friends like. smission lines,transmission line,transmission

50

Development of LED mini-Lidar  

Science Journals Connector (OSTI)

In this study, we aim to develop a mini-lidar system using a LED (Light Emitting Diode) as the light source for near-range measurement. Because LED is small size device and its...

Koyama, Moriaki; Shiina, Tatsuo

51

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Raman Lidar Observations of Aerosol Humidification Near Clouds Raman Lidar Observations of Aerosol Humidification Near Clouds Submitter: Ferrare, R. A., NASA - Langley Research Center Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Ferrare, R., et al., Evaluation of Daytime Measurements of Aerosols and Water Vapor Made by an Operational Raman Lidar over the Southern Great Plains, J. Geophys. Res., 111, D05S08, doi:10.1029/2005JD005836, 2006. Relative humidity profiles derived from the Raman lidar during the ALIVE 2005 field experiment. Aerosol extinction profiles derived from the Raman lidar during the ALIVE 2005 field experiment. Aerosol humidification factor f(RH) from Raman lidar measured profiles of aerosol extinction and relative humidity. Upgrades to the Raman lidar at the ARM Climate Research Facility (ACRF)

52

JOURNAL OF RAMAN SPECTROSCOPY J. Raman Spectrosc. 2005; 36: 864871  

E-Print Network [OSTI]

traditionally been utilized to indicate the phase transition. Comparisons with the Raman spectra of spodumene

Downs, Robert T.

53

Lidar characterization of crystalline silica generation and gravel plant  

E-Print Network [OSTI]

The lidar vertical pro?les and wind speed data were used toof wind speed and concentration (based on lidar verticalvertical plane at a given height, z, was calculated as the product of the wind speed

Trzepla-Nabaglo, K.; Shiraki, R.; Holm'en, B. A.

2006-01-01T23:59:59.000Z

54

Semiconductor Laser Lidar Wind Velocity Sensor for Turbine Control  

Science Journals Connector (OSTI)

A dual line-of-sight CW lidar that measures both wind speed and direction is presented. The wind lidar employs a semiconductor laser, which allows for inexpensive remote sensors geared...

Rodrigo, Peter John; Hu, Qi; Pedersen, Christian

55

Simultaneous radar and lidar cloud measurements at Geesthacht (53.5°N, 10.5°E)  

Science Journals Connector (OSTI)

Comparisons have been made of the cloud profiles obtained from the backscatter signals of a 95-GHz radar and a 720-nm lidar system between 23 May and 4 November 1997 at Geesthacht (53°24? N, 10°26? E). Although the wavelengths of the two systems differ by a factor of 4 000, remarkably similar data have been obtained in many cases. There are differences, though. Small droplets do not interact significantly with the radar pulses, and hence can only be seen by the lidar due to their strong scattering in the UV/VIS. On the other hand, attenuation of the lidar pulses by underlying clouds and gas absorbers makes upper cloud regions and especially cloud top heights better detectable for the radar. Rain and snow falling out of a cloud and evaporating on the way down cannot be distinguished from the cloud region by the radar, but a fast downward component in the Doppler spectrum is indicative of precipitation in or under a cloud. For quantitative cloud studies collocated radar-lidar systems considerably add to the experimental capabilities of each of the two systems alone.

C. Weitkamp; H. Flint; W. Lahmann; F.A. Theopold; O. Danne; M. Quante; E. Raschke

1999-01-01T23:59:59.000Z

56

7 - Raman spectroscopy of graphene  

Science Journals Connector (OSTI)

Abstract: The principles of Raman scattering and the properties of phonons and electrons in graphene are reviewed. The focus is on Raman spectroscopy of mono- and bilayer graphene, particularly perturbations that have a significant influence on the Raman spectra. The distinct behaviour of Raman modes of different orders is discussed.

M. Hulman

2014-01-01T23:59:59.000Z

57

Raman scattering in crystals  

SciTech Connect (OSTI)

A tutorial presentation is given of Raman scattering in crystals. The physical concepts are emphasized rather than the detailed mathematical formalism. Starting with an introduction to the concepts of phonons and conservation laws, the effects of photon-phonon interactions are presented. This interaction concept is shown for a simple cubic crystal and is extended to a uniaxial crystal. The correlation table method is used for determining the number and symmetry of the Raman active modes. Finally, examples are given to illustrate the relative ease of using this group theoretical method and the predictions are compared with measured Raman spectra. 37 refs., 17 figs., 6 tabs.

Edwards, D.F.

1988-09-30T23:59:59.000Z

58

Nuclear Raman spectroscopy  

Science Journals Connector (OSTI)

An experiment is described in which the nuclear analog to Raman spectroscopy has been applied to 57Fe. The results of the experiment are given, and future applications of...

DePaola, B D; Wagal, S S; Collins, C B

1985-01-01T23:59:59.000Z

59

LiDAR | Open Energy Information  

Open Energy Info (EERE)

LiDAR LiDAR Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: LiDAR Details Activities (10) Areas (5) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Active Sensors Parent Exploration Technique: Active Sensors Information Provided by Technique Lithology: Stratigraphic/Structural: delineate faults, create high-resolution DEMS, quantify fault kinemaics, develop lineament maps Hydrological: Thermal: Cost Information Low-End Estimate (USD): 300.0030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD / sq. mile Median Estimate (USD): 850.0085,000 centUSD 0.85 kUSD 8.5e-4 MUSD 8.5e-7 TUSD / sq. mile High-End Estimate (USD): 1,300.00130,000 centUSD 1.3 kUSD 0.0013 MUSD 1.3e-6 TUSD / sq. mile

60

Systematic Sampling of Scanning Lidar Swaths  

E-Print Network [OSTI]

Popescu Proof of concept lidar research has, to date, examined wall-to-wall models of forest ecosystems. While these studies have been important for verifying lidars efficacy for forest surveys, complete coverage is likely not the most cost effective... year of my graduate studies. Also, to Jin Zhu and the other members of the Aerial Photography project at the Texas Forest Service for opening my eyes to the practical uses of GIS and remote sensing, their encouragement for me to obtain a graduate...

Marcell, Wesley Tyler

2011-02-22T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Coherent anti-Stokes Raman scattering microscopy for quantitative characterization of mixing and flow in microfluidics  

Science Journals Connector (OSTI)

We present an optical, noninvasive and label-free approach to characterize flow profiles in microfluidic devices. Coherent anti-Stokes Raman scattering signals were used to map the...

Schafer, Dawn; Müller, Michiel; Bonn, Mischa; Marr, David W M; van Maarseveen, Jan; Squier, Jeff

2009-01-01T23:59:59.000Z

62

Resonant Raman spectroscopy of nanotubes  

Science Journals Connector (OSTI)

...Raman spectroscopy in carbons: from nanotubes to diamond compiled by Andrea C. Ferrari...Robertson Resonant Raman spectroscopy of nanotubes Christian Thomsen 1 Stephanie Reich 2...The experimental situation in carbon nanotubes is reviewed in view of these criteria...

2004-01-01T23:59:59.000Z

63

Generated using version 3.0 of the official AMS LATEX template A remotely-operated lidar for aerosol, temperature, and water  

E-Print Network [OSTI]

Generated using version 3.0 of the official AMS LATEX template A remotely-operated lidar for aerosol, temperature, and water vapor profiling in the High Arctic. G. J. Nott, T. J. Duck, J. G. Doyle, M. E. W. Coffin, C. Perro, C. P. Thackray, and J. R. Drummond Department of Physics and Atmospheric

Duck, Thomas J.

64

E-Print Network 3.0 - absorption lidar performance Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

performed with the lidar25 operated simultaneously at Bordeaux (550 km away... . The NASA God- dard Space Flight Center (GSFC) mobile lidar system ... Source: Ecole Polytechnique,...

65

EN-025 Tools & Applications December 2008 Lidar Remote Sensing  

E-Print Network [OSTI]

IS LIDAR? Lidar (light detection and ranging system) is a relatively new type of active remote sensing are small-footprint, discrete return systems that record two to five returns for each emitted laser pulse fashion as an aerial photography camera. · An inertial measurement unit that records the pitch, yaw

66

Ris-PhD-Report Complex Terrain and Wind Lidars  

E-Print Network [OSTI]

calculations over the same terrains. The lidar performance was also simulated with the commercial software WAs;#12;Author: Ferhat Bingöl Title: Complex terrain and wind lidars Division: Wind Energy Division Risø-PhD-52 and the comparison of the measurement data with the flow model outputs showed that the mean wind speed calculated

67

Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

Jaffe, Todd

68

Raman accumulator as a fusion laser driver  

DOE Patents [OSTI]

Apparatus for simultaneous laser pulse amplification and compression, using multiple pass Raman scattering in one Raman cell and pulse switchout from the optical cavity through use of a dichroic device associated with the Raman cell.

George, E.V.; Swingle, J.C.

1982-03-31T23:59:59.000Z

69

Cladding-pumped Raman fibre laser sources.  

E-Print Network [OSTI]

??In this thesis, I investigate cladding-pumped Raman fibre lasers and amplifiers. Such devices, offering a novel way to generate Raman gain, combine the advantages of… (more)

Ji, Junhua

2011-01-01T23:59:59.000Z

70

NEW REMOTELY-OPERATED RAMAN-MIE-RAYLEIGH LIDAR IN THE HIGH CANADIAN ARCTIC  

E-Print Network [OSTI]

operation and alignment, data col- lection, and safety systems are controlled with custom software. 2 revolve around atmospheric energy trans- fer through both radiative and dynamic processes. As contributors

Duck, Thomas J.

71

The influence of LiDAR pulse density on the precision of inventory metrics in young unthinned Douglas-fir stands during initial and subsequent LiDAR acquisitions  

Science Journals Connector (OSTI)

LiDAR is an established technology that is increasingly being used to characterise spatial variation in stand metrics used in forest inventory. As the cost of LiDAR acquisition markedly declines with LiDAR pul...

Michael S Watt; Andrew Meredith; Pete Watt…

2014-08-01T23:59:59.000Z

72

Atmospheric Data, Images, and Animations from Lidar Instruments used by the University of Wisconsin Lidar Group  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The Space Science and Engineering Center is a research and development center affiliated with the University of Wisconsin-Madison’s Graduate School. Its primary focus is on geophysical research and technology to enhance understanding of the atmosphere of Earth, the other planets in the Solar System, and the cosmos. SSEC develops new observing tools for spacecraft, aircraft, and ground-based platforms, and models atmospheric phenomena. The Center receives, manages and distributes huge amounts of geophysical data and develops software to visualize and manipulate these data for use by researchers and operational meteorologists all over the world.[Taken from About SSEC at http://www.ssec.wisc.edu/overview/] A huge collection of data products, images, and animations comes to the SSEC from the University of Wisconsin Lidar Group. Contents of this collection include: • An archive of thousands of Lidar images acquired before 2004 • Arctic HSRL, MMCR, PAERI, MWR, Radiosonde, and CRAS forecast data Data after May 1, 2004 • MPEG animations and Lidar Multiple Scattering Models

73

Mitigation of Coastal Bluff Instability in San Diego County, California/Evaluating Seacliff Morphology and Erosion Control in San Diego County Using LIDAR and GIS  

E-Print Network [OSTI]

County Using LIDAR and GIS In order to evaluate seacliffgeographic information systems (GIS) analysis. LIDAR is the

Ashford, Scott

2005-01-01T23:59:59.000Z

74

Superradiant Raman Laser Magnetometer  

E-Print Network [OSTI]

We demonstrate a proof-of-principle magnetometer that relies on the active oscillation of a cold atom Raman laser to continuously map a field-sensitive atomic phase onto the phase of the radiated light. We demonstrate wideband sensitivity during continuous active oscillation, as well as narrowband sensitivity in passive Ramsey-like mode with translation of the narrowband detection in frequency using spin-echo techniques. The sensor operates with a sensitivity of 190 pT/Hz^(1/2) at 1 kHz and effective sensing volume of 2 * 10^-3 mm^3. Fundamental quantum limits on the magnetic field sensitivity of an ideal detector are also considered.

Weiner, Joshua M; Bohnet, Justin G; Chen, Zilong; Thompson, James K

2012-01-01T23:59:59.000Z

75

LiDAR (Laney, 2005) | Open Energy Information  

Open Energy Info (EERE)

LiDAR (Laney, 2005) LiDAR (Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR (Laney, 2005) Exploration Activity Details Location Unspecified Exploration Technique LiDAR Activity Date Usefulness not indicated DOE-funding Unknown Notes Design of Sampling Strategies to Detect CO2 Emissions From Hidden Geothermal Systems, Lewicki, Oldenburg and Kennedy. The objective of this project is to investigate geothermal CO2 monitoring in the near surface as a tool to discover hidden geothermal reservoirs. A primary goal of this project is to develop an approach that places emphasis on cost and time-efficient near-surface exploration methods and yields results to guide and focus more cost-intensive geophysical measurements, installation of

76

ARM - Field Campaign - Boundary Layer CO2 Using CW Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsBoundary Layer CO2 Using CW Lidar govCampaignsBoundary Layer CO2 Using CW Lidar Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Boundary Layer CO2 Using CW Lidar 2005.05.21 - 2005.05.24 Lead Scientist : Michael Dobbs Description Overflights Underway at ACRF Southern Great Plains Site (M.Dobbs/J.Liljegren) Science collaborators at ITT Industries and the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) conducted flights over the Central Facility at ACRF's Southern Great Plains (SGP) site as part of the Climate Sources and Sink (CO2) Intensive Operational Period (IOP), using a CW lidar. The objective of the flights was to validate, by demonstration and comparison with SGP ground observations, the performance of the ITT system when used in conjunction with retrieval

77

URBAN MODELING FROM LIDAR DATA IN AN INTEGRATED GIS ENVIRONMENT  

E-Print Network [OSTI]

are analyzed and possible solutions are proposed by fusing lidar data with other image data. Study shows: it allows rapid generation large-scale DTM (digital terrain model); is daylight independent; is relatively

Shan, Jie

78

Comparison of 2- and 10-µm Coherent Doppler Lidar Performance  

Science Journals Connector (OSTI)

The performance of 2- and 10-µm coherent Doppler lidar is presented in terms of the statistical distribution of the maximum-likelihood velocity estimator from simulations for fixed range resolution and fixed velocity search space as a function of ...

Rod Frehlich

1995-04-01T23:59:59.000Z

79

Cirrus Classification at Midlatitude from Systematic Lidar Observations  

Science Journals Connector (OSTI)

Systematic cirrus lidar measurements performed in the south of France during 2000 are analyzed statistically to search for cloud classes. The classes are based on cloud characteristics (cloud thickness, light backscattering efficiency, and its ...

P. Keckhut; F. Borchi; S. Bekki; A. Hauchecorne; M. SiLaouina

2006-02-01T23:59:59.000Z

80

Oil spill fluorosensing lidar for inclined onshore or shipboard operation  

Science Journals Connector (OSTI)

An oil spill detection fluorosensing lidar for onshore or shipboard operation is described. Some difficulties for its operation arise from the inclined path of rays. This is due to...

Karpicz, Renata; Dementjev, Andrej; Kuprionis, Zenonas; Pakalnis, Saulius; Westphal, Rainer; Reuter, Rainer; Gulbinas, Vidmantas

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Raman Spectroscopic Studies of Silicotitanates  

SciTech Connect (OSTI)

Silicotitanates are nanoporous materials that have been used as selective ion exchangers for removing cesium from waste streams and catalysts for promoting oxidation and hydroxylation reactions. The local bonding configurations and network charge distribution are known to influence the selectivity and reactivity of these compounds. We have synthesized a group of new silicotitanates using sol-gel and solid state techniques. Raman spectroscopy has been used to systematically examine the vibrational behavior of these compounds. By correlating the variations of Raman spectra with titanium coordinations of these compounds, the relationship between Raman shifts and the local bonding configurations around silicon and titanium is proposed.

Su, Yali; Balmer, Mari Lou; Bunker, Bruce C.

2000-07-19T23:59:59.000Z

82

LIDAR Wind Speed Measurements of Evolving Wind Fields  

SciTech Connect (OSTI)

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

Simley, E.; Pao, L. Y.

2012-07-01T23:59:59.000Z

83

Raman Spectrum of Heavy Water  

Science Journals Connector (OSTI)

... . of 99.2 gm./lOO gm. D2O ( 1.1049) supplied by the Norsk Hydro-Elektrisk Kvaelstofaktieselskab. The Raman spectrum of the substance was photographed with a Hilger ...

R. ANANTHAKRISHNAN

1935-10-05T23:59:59.000Z

84

Raman Spectroscopy of Microbial Pigments  

Science Journals Connector (OSTI)

...minireview, Raman spectroscopy has several advantages for pigment and carotenoid work. The...BF01923559 . 71. Garcia-Pichel, F . 1998. Solar ultraviolet and the evolutionary history...signal strength, adaptive strategies, solar radiation, and humidity. Astrobiology...

Jan Jehli?ka; Howell G. M. Edwards; Aharon Oren

2014-03-28T23:59:59.000Z

85

UV Raman spectroscopy of hydrocarbons  

Science Journals Connector (OSTI)

...Nitrogen chemistry Petroleum Physics methods Spectrum Analysis...Grasselli, J. G. 1991 The handbook of infrared and Raman characteristic...13081313. Weast, R. C. 1977 CRC handbook of chemistry and physics, 58th edn, pp. C80C548...

2004-01-01T23:59:59.000Z

86

Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy  

SciTech Connect (OSTI)

This report summarizes work performed for a larger multi-laboratory project named the Background Interferent Measurement and Standards project. While originally tasked to develop algorithms to optimize biological warfare agent detection using UV fluorescence LIDAR, the current uncertainties in the reported fluorescence profiles and cross sections the development of any meaningful models. It was decided that a better approach would be to model the wavelength-dependent elastic backscattering from a number of ambient background aerosol types, and compare this with that generated from representative sporulated and vegetative bacterial systems. Calculations in this report show that a 266, 355, 532 and 1064 nm elastic backscatter LIDAR experiment will allow an operator to immediately recognize when sulfate, VOC-based or road dust (silicate) aerosols are approaching, independent of humidity changes. It will be more difficult to distinguish soot aerosols from biological aerosols, or vegetative bacteria from sporulated bacteria. In these latter cases, the elastic scattering data will most likely have to be combined with UV fluorescence data to enable a more robust categorization.

Sheen, David M.; Aker, Pam M.

2007-09-19T23:59:59.000Z

87

Mapping surface fuels using LIDAR and multispectral data fusion for fire behavior modeling  

E-Print Network [OSTI]

, LIDAR derived data provides accurate estimates of surface fuel parameters efficiently and accurately over extensive areas of forests. This study demonstrates the importance of using accurate maps of fuel models derived using new LIDAR remote sensing...

Mutlu, Muge

2009-05-15T23:59:59.000Z

88

Alternate spatial sampling approaches for ecosystem structure inventory using spaceborne lidar  

E-Print Network [OSTI]

used in aircraft lidar remote sensing where power, heat, and reliability are less of a concern since January 2011 Accepted 29 January 2011 Available online 23 March 2011 Keywords: Lidar Remote sensing Laser collected in transects and should be considered for future lidar remote sensing missions. © 2011 Elsevier

Lefsky, Michael

89

Advanced Lidars for ARM: What Would We Get?  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CMWG Breakout Session CMWG Breakout Session 2009 ARM Science Team Meeting Advanced Lidars for ARM: What Would We Get? Dave Turner, Ed Eloranta University of Wisconsin - Madison CMWG Breakout Session 2009 ARM Science Team Meeting What is an "Advanced Lidar?" (1) * Ceilometer - Max range ~7km, unpolarized, uncalibrated * Micropulse lidar (MPL) - Sensitive to clouds & aerosols throughout troposphere - Small telescope, rep rate is 1.5 kHz, microjoules of power - Loses sensitivity to cirrus in upper trop during the day - Polarization sensitive - Uncalibrated * Backscatter signals measured by both the MPL and the Ceilometer are convolutions of molecular and particle scattering events - Unable to determine particle extinction without significant assumptions - Main use by ARM has been to determine layer boundaries

90

ARM - Field Campaign - Lidar support for ICECAPS at Summit, Greenland  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsLidar support for ICECAPS at Summit, Greenland govCampaignsLidar support for ICECAPS at Summit, Greenland Campaign Links ICECAPS Campaign Summary (PDF) Summit Station Research Highlight New Data from Greenland for Arctic Climate Research Cloud Cocktail Melts Greenland Ice Sheet Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Lidar support for ICECAPS at Summit, Greenland 2010.04.15 - 2014.10.31 Lead Scientist : David Turner Description Beginning in May 2010, the Integrated Characterization of Energy, Clouds, Atmospheric State, and Precipitation over Summit (ICECAPS) project, funded through the National Science Foundation's Arctic Observing Network, is deploying a suite of remote sensors at Summit, Greenland, for four years. With dining facilities and communications gear, the "Big House" at Summit Station serves as the central gathering area for site researchers. (Photo courtesy Summit Station.)

91

A study on Raman Injection Laser  

E-Print Network [OSTI]

The Raman Injection Laser is a new type of laser which is based on triply resonant stimulated Raman scattering between quantum confined states within the active region of a Quantum Cascade Laser that serves as an internal optical pump. The Raman...

Liu, Debin

2005-11-01T23:59:59.000Z

92

JOURNAL OF RAMAN SPECTROSCOPY J. Raman Spectrosc. 2003; 34: 769775  

E-Print Network [OSTI]

Science (www.interscience.wiley.com). DOI: 10.1002/jrs.1051 Raman spectroscopic study of spodumene (LiAlSi2O6 spectrum of a natural specimen of the pyroxene spodumene, from its low-pressure (C2/c) to its high, was not observed. Copyright 2003 John Wiley & Sons, Ltd. KEYWORDS: spodumene; pyroxene; pressure-induced phase

Downs, Robert T.

93

Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control: Preprint  

SciTech Connect (OSTI)

Turbine-mounted lidars provide preview measurements of the incoming wind field. By reducing loads on critical components and increasing the potential power extracted from the wind, the performance of wind turbine controllers can be improved [2]. As a result, integrating a light detection and ranging (lidar) system has the potential to lower the cost of wind energy. This paper presents an evaluation of turbine-mounted lidar availability. Availability is a metric which measures the proportion of time the lidar is producing controller-usable data, and is essential when a wind turbine controller relies on a lidar. To accomplish this, researchers from Avent Lidar Technology and the National Renewable Energy Laboratory first assessed and modeled the effect of extreme atmospheric events. This shows how a multirange lidar delivers measurements for a wide variety of conditions. Second, by using a theoretical approach and conducting an analysis of field feedback, we investigated the effects of the lidar setup on the wind turbine. This helps determine the optimal lidar mounting position at the back of the nacelle, and establishes a relationship between availability, turbine rpm, and lidar sampling time. Lastly, we considered the role of the wind field reconstruction strategies and the turbine controller on the definition and performance of a lidar's measurement availability.

Davoust, S.; Jehu, A.; Bouillet, M.; Bardon, M.; Vercherin, B.; Scholbrock, A.; Fleming, P.; Wright, A.

2014-05-01T23:59:59.000Z

94

hal-00276997,version1-5May2008 Raman spectra of misoriented bilayer graphene  

E-Print Network [OSTI]

hal-00276997,version1-5May2008 Raman spectra of misoriented bilayer graphene P. Poncharal1 , A layer graphene with a bilayer in which the two layers are arbitrarily misoriented. The profiles of the 2 of the electronic structures of single layer graphene and misoriented bilayer graphene. Another new aspect

95

Inversion-free, noiseless Raman echoes  

E-Print Network [OSTI]

Using double optical Raman rephasing, an inversion-free resonant Raman echo is studied in an inhomogeneously broadened spin ensemble of a solid medium, where the Raman optical field-excited spin coherence has a frozen propagation vector. Unlike photon echoes whose quantum memory application is strictly limited due to \\pi rephasing pulse-induced population inversion causing quantum noises, the optical Raman field-excited spin echo is inherently silent owing to the frozen propagation vector. Thus, the doubly rephased Raman echo can be directly applied for quantum interface in a population inversion-free environment.

Byoung S. Ham

2011-11-20T23:59:59.000Z

96

INTEGRATED LIDAR & PHOTOGRAMMETRIC DOCUMENTATION OF THE RED GULCH DINOSAUR  

E-Print Network [OSTI]

101 INTEGRATED LIDAR & PHOTOGRAMMETRIC DOCUMENTATION OF THE RED GULCH DINOSAUR TRACKSITE (WYOMING. At the First International Symposium on Dinosaur Tracks and Traces in 1989, concerns were expressed about collection and imaging techniques used to document fossil resources. Digital techniques are typically non

Falkingham, Peter

97

The effects of machine parameters on residual stress determined using micro-Raman spectroscopy  

SciTech Connect (OSTI)

The effects of machine parameters on residual stresses in single point diamond turned silicon and germanium have been investigated using micro-Raman spectroscopy. Residual stresses were sampled across ductile feed cuts in < 100 > silicon and germanium which were single point diamond turned using a variety of feed rates, rake angles and clearance angles. High spatial resolution micro-Raman spectra (1{mu}m spot) were obtained in regions of ductile cutting where no visible surface damage was present. The use of both 514-5nm and 488.0nm excitation wavelengths, by virtue of their differing characteristic penetration depths in the materials, allowed determinations of stress profiles as a function of depth into the sample. Previous discussions have demonstrated that such Raman spectra will exhibit asymmetrically broadened peaks which are characteristic of the superposition of a continuum of Raman scatterers from the various depths probed. Depth profiles of residual stress were obtained using computer deconvolution of the resulting asymmetrically broadened raman spectra.

Sparks, R.G.; Enloe, W.S.; Paesler, M.A.

1988-12-01T23:59:59.000Z

98

LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) | Open Energy  

Open Energy Info (EERE)

LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) Exploration Activity Details Location Chocolate Mountains Area Exploration Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown Notes Recent exploration includes a high resolution aerial Li-DAR survey flown over the project areas, securing over 177,000 square kilometers of <30cm accuracy digital elevation data. LiDAR data were analyzed to characterize the active tectonic environment, and identify Holocene structures, which are common conduits for upwelling geothermal fluids. References Steve Alm, S. Bjornstad, M. Lazaro, A. Sabin1, D. Meade, J. Shoffner, W. C. Huang, J. Unruh, M. Strane, H. Ross (2010) Geothermal

99

Raman activity in synchronously dividing bacteria  

SciTech Connect (OSTI)

Using a spectrometer equipped with an optical-multichannel analyzer as the detector (OMA), we have observed the Stokes laser-Raman spectra of metabolically active Escherichia coli and Bacillus megaterium from 100 - 2100 cm/sup -1/. After lengthy investigation, no Raman lines attributable to the metabolic process nor the cells themselves were found. Previous Raman spectra of active bacteria cannot be used to support nonlinear theories in biology. 34 refs., 9 figs.

Layne, S.P.

1985-01-01T23:59:59.000Z

100

An Automated Raman Device for Gout Diagnosis  

Science Journals Connector (OSTI)

This study reports an automated Raman device to identify crystals in synovial aspirates from patients with gout symptoms. Combined with sample preparation, the device could diagnose...

Li, Bolan

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control (Poster)  

SciTech Connect (OSTI)

Integrating Lidar to improve wind turbine controls is a potential breakthrough for reducing the cost of wind energy. By providing undisturbed wind measurements up to 400m in front of the rotor, Lidar may provide an accurate update of the turbine inflow with a preview time of several seconds. Focusing on loads, several studies have evaluated potential reductions using integrated Lidar, either by simulation or full scale field testing.

Scholbrock, F. A.; Fleming, P.; Wright, A.; Davoust, S.; Jehu, A.; Bouillet, M.; Bardon M.; Vercherin, B.

2014-02-01T23:59:59.000Z

102

Ground-truth aerosol lidar observations: can the Klett solutions obtained from ground and space be equal for the same aerosol case?  

Science Journals Connector (OSTI)

Upcoming multiyear satellite lidar aerosol observations need strong support by a worldwide ground-truth lidar network. In this context the question arises as to whether the ground...

Ansmann, Albert

2006-01-01T23:59:59.000Z

103

NASA’s Space Lidar Measurements of Earth and Planetary Surfaces  

Science Journals Connector (OSTI)

This presentation will give an overview of history, ongoing work, and plans for using space lidar for measurements of planetary surfaces.

Abshire, James B

104

E-Print Network 3.0 - absorption lidar system Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

light absorption... lidar system are proposed ... Source: Zavrtanik, Marko - Experimental Particle Physics Department, Jozef Stefan Institute Collection: Physics 77 Atmos. Chem....

105

Structural Analysis of Southern Dixie Valley using LiDAR and...  

Open Energy Info (EERE)

Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle Aerial Photography, NAS Fallon Geothermal Exploration Project, Dixie Valley, Nevada Jump to: navigation,...

106

High-resolution lidar observations of mesospheric sodium and implications for adaptive optics  

Science Journals Connector (OSTI)

Observations of sodium density variability in the upper mesosphere/lower thermosphere, obtained using a high-resolution lidar system, show rapid fluctuations in the sodium centroid...

Pfrommer, Thomas; Hickson, Paul

2010-01-01T23:59:59.000Z

107

LIDAR Wind Speed Measurements of Evolving Wind Fields  

SciTech Connect (OSTI)

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems that are designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed the validity of physicist G.I. Taylor's 1938 frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations using the National Renewable Energy Laboratory's (NREL's) 5-megawatt turbine model to create a more realistic measurement model. A simple model of wind evolution was applied to a frozen wind field that was used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements were also evaluated using a large eddy simulation (LES) of a stable boundary layer that was provided by the National Center for Atmospheric Research. The LIDAR measurement scenario investigated consists of a hub-mounted LIDAR that scans a circle of points upwind of the turbine in order to estimate the wind speed component in the mean wind direction. Different combinations of the preview distance that is located upwind of the rotor and the radius of the scan circle were analyzed. It was found that the dominant source of measurement error for short preview distances is the detection of transverse and vertical wind speeds from the line-of-sight LIDAR measurement. It was discovered in previous studies that, in the absence of wind evolution, the dominant source of error for large preview distances is the spatial averaging caused by the LIDAR's sampling volume. However, by introducing wind evolution, the dominant source of error for large preview distances was found to be the coherence loss caused by evolving turbulence. Different measurement geometries were compared using the bandwidth for which the measurement coherence remained above 0.5 and also the area under the measurement coherence curve. Results showed that, by increasing the intensity of wind evolution, the measurement coherence decreases. Using the coherence bandwidth metric, the optimal preview distance for a fixed-scan radius remained almost constant for low and moderate amounts of wind evolution. For the wind field with the simple wind evolution model introduced, the optimal preview distance for a scan radius of 75% blade span (47.25 meters) was found to be 80 meters. Using the LES wind field, the optimal preview distance was 65 meters. When comparing scan geometries using the area under the coherence curve, results showed that, as the intensity of wind evolution increases, the optimal preview distance decreases.

Simley, E.; Pao, L. Y.; Kelley, N.; Jonkman, B.; Frehlich, R.

2012-01-01T23:59:59.000Z

108

ARM - Instrument - rl  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsrl govInstrumentsrl Documentation RL : Handbook RL : Instrument Mentor Monthly Summary (IMMS) reports RL : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Raman Lidar (RL) Beneficiary of Recovery Act funding. Instrument Categories Aerosols, Atmospheric Profiling Picture of the Raman Lidar (RL) Picture of the Raman Lidar (RL) General Overview The Raman Lidar (RL) is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and several cloud- and aerosol-related quantities. Lidar (light detection and ranging) is the optical analog of radar, using pulses of laser radiation to probe the atmosphere. This system is fully computer automated, and will run

109

Raman and XPS characterization of fuel-cladding interactions...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

interactions using miniature specimens. Raman and XPS characterization of fuel-cladding interactions using miniature specimens. Abstract: Laser Raman spectroscopy was...

110

Operando Raman and Theoretical Vibration Spectroscopy of Non...  

Broader source: Energy.gov (indexed) [DOE]

Operando Raman and Theoretical Vibration Spectroscopy of Non-PGM Catalysts Operando Raman and Theoretical Vibration Spectroscopy of Non-PGM Catalysts Presentation about...

111

Adiabatic Tip-Plasmon Focusing for Nano-Raman Spectroscopy. ...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Adiabatic Tip-Plasmon Focusing for Nano-Raman Spectroscopy. Adiabatic Tip-Plasmon Focusing for Nano-Raman Spectroscopy. Abstract: True nanoscale optical spectroscopy requires the...

112

Multiphonon Raman scattering in graphene  

Science Journals Connector (OSTI)

We report on multiphonon Raman scattering in graphene samples. Higher-order combination modes involving three and four phonons are observed in single-layer, bilayer, and few-layer graphene samples prepared by mechanical exfoliation. The intensity of the higher-order phonon modes (relative to the G peak) is highest in single-layer graphene and decreases with increasing layers. In addition, all higher-order modes are observed to upshift in frequency almost linearly with increasing graphene layers, betraying the underlying interlayer van der Waals interactions.

Rahul Rao; Derek Tishler; Jyoti Katoch; Masa Ishigami

2011-09-12T23:59:59.000Z

113

Using LiDAR and normalized difference vegetation index to remotely determine LAI and percent canopy cover at varying scales  

E-Print Network [OSTI]

: (1) Develop scanning LiDAR and multispectral imagery methods to estimate PCC and LAI over both hardwood and coniferous forests; (2) investigate whether a LiDAR and normalized difference vegetation index (NDVI) data fusion through linear regression...

Griffin, Alicia Marie Rutledge

2009-05-15T23:59:59.000Z

114

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Improve Reliability Bookmark and Share The Raman Lidar is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and...

115

Raman scattering from sp2 carbon clusters  

Science Journals Connector (OSTI)

Raman spectra of B ion-implanted glassy carbon (GC) and hydrogenated amorphous carbon (a-C:H) films have been measured as a function of polarization direction of the scattered light and excitation wavelength. Raman bands of GC implanted heavily with a fluence of more than 5×1015 B ions/cm2 and a-C:H films show a frequency-independent depolarization ratio, suggesting the existence of sp2 carbon clusters in these samples. It was found that Raman spectra of GC implanted heavily with a fluence of more than 5×1015 B ions/cm2 varied with the excitation wavelength. From a comparative study of the heavily implanted GC and a-C:H films, the variation of the Raman spectra with the excitation wavelength observed for the heavily implanted GC is interpreted in terms of ?-?* resonant Raman scattering from sp2 carbon clusters having various sizes.

M. Yoshikawa; N. Nagai; M. Matsuki; H. Fukuda; G. Katagiri; H. Ishida; A. Ishitani; I. Nagai

1992-09-15T23:59:59.000Z

116

Raman Spectra of Polyatomic Gases  

Science Journals Connector (OSTI)

Raman spectra of gaseous CO2, N2O, NH3, CH4 and C2H4 have been photographed using the line ?2536 of mercury as the exciting radiation. Vibrational transitions have been observed in all the gases investigated, and rotational transitions in the cases of NH3 and CH4. For the frequency shifts due to the vibrational transitions, the following numerical values (in cm-1) have been found: CO2: 1264.5; 1285.1; 1387.7; 1408.4.CH4: 2914.8; 3022.1; 3071.5.N2O: 1281.8C2H4: 1342.4; 1623.3; 2880.1; 3019.3; 3240.3; 3272.3.NH3: 3333.6  Raman spectra of liquid NH3 have been photographed and found to give the two frequency shifts: 3298.4 and 3214.5. In the case of gaseous NH3, pure rotational transitions lead to a moment of inertia having the value I0=2.79×10-40. In the case of methane, the positive and negative branches of the 3022.1 band lead to the value I0=5.17×10-40. The relations between these data and infra-red absorption data are discussed.

R. G. Dickinson, R. T. Dillon, and F. Rasetti

1929-08-15T23:59:59.000Z

117

People Profiles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

What Is NIF? How NIF Works Seven Wonders Beamline NIF Construction Who Works for NIF & PS? People Profiles Management Awards Honors Fellows Who Partners with NIF? FAQs Visit Us...

118

An initial assessment of the Robust And Compact Hybrid Environmental Lidar (RACHEL)  

E-Print Network [OSTI]

the greatest source of uncertainty in global climate models [1]. Their rapid variability in both time and space lidar techniques, the extinction and backscat- ter coefficients of an aerosol can be measured simul the assembly of a high-density, automated lidar network is impractical, despite the sig- nificant science gains

Oxford, University of

119

A new cloud and aerosol layer detection method based on micropulse lidar measurements  

E-Print Network [OSTI]

A new cloud and aerosol layer detection method based on micropulse lidar measurements Chuanfeng algorithm to detect aerosols and clouds based on micropulse lidar measurements. A semidiscretization is then introduced. Combined with empirical threshold values, we determine if the signal waves indicate clouds

Li, Zhanqing

120

3D Turbulence Measurements Using Three Synchronous Wind Lidars: Validation against Sonic Anemometry  

Science Journals Connector (OSTI)

This paper presents a technique to measure the time series of the three components of the wind vector at a point in space from synchronous measurements of three scanning Doppler wind lidars. Knowing the position of each lidar on the ground and the ...

Fernando Carbajo Fuertes; Giacomo Valerio Iungo; Fernando Porté-Agel

2014-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

All Sky Camera, LIDAR and Electric Field Meter: auxiliary instruments for the ASTRI SST-2M prototype  

E-Print Network [OSTI]

ASTRI SST-2M is the end-to-end prototype telescope of the Italian National Institute of Astro- physics, INAF, designed to investigate the 10-100 TeV band in the framework of the Cherenkov Telescope Array, CTA. The ASTRI SST-2M telescope has been installed in Italy in September 2014, at the INAF ob- serving station located at Serra La Nave on Mount Etna. The telescope is foreseen to be completed and fully operative in spring 2015 including auxiliary instrumentation needed to support both operations and data anal- ysis. In this contribution we present the current status of a sub-set of the auxiliary instruments that are being used at the Serra La Nave site, namely an All Sky Camera, an Electric Field Meter and a Raman Lidar devoted, together with further instrumentation, to the monitoring of the atmospheric and environmental conditions. The data analysis techniques under development for these instruments could be applied at the CTA sites, where similar auxiliary instrumentation will be installed.

Leto, Giuseppe; Bellassai, Giancarlo; Bruno, Pietro; Maccarone, Maria Concetta; Martinetti, Eugenio

2015-01-01T23:59:59.000Z

122

First Verification Test and Wake Measurement Results Using a SHIP-LIDAR System  

Science Journals Connector (OSTI)

Abstract Measuring wind offshore in deep water depths will be a future challenge. Where the sea bed foundation installation for fixed meteorological masts is impossible, floating systems tend to be a sophisticated solution. In addition to the use of moored lidar- buoy systems, ship-lidar systems are an alternative solution for a number of different applications. In this paper we describe general aspects of motion influences on lidar measurements as well as two motion-correction methods for motion-influenced lidar measurements. The implementation of the ship-lidar system and different scanning modes will be presented. First measurements were carried out as part of the EERA-DTOC project. Hence a verification of one of the two correction algorithms as well as first results from wake measurements behind the Alpha Ventus offshore wind farm will be shown. This comprises distinct wind speed wake losses and an increasing turbulence intensity in a distance of approximately 2 km behind the wind farm.

G. Wolken-Möhlmann; J. Gottschall; B. Lange

2014-01-01T23:59:59.000Z

123

Short-range, Non-contact Detection of Surface Contamination Using Raman Lidar Arthur J. Sedlacek, III*  

E-Print Network [OSTI]

-time detection and identification of bulk amounts of substances on surfaces. Optical spectroscopic methods detection and identification of chemical spills is discussed. The new chemical sensor combines the spectral-range (meters to tens of meters), non-contact detection and identification of unknown substances on surfaces

124

Inelastic neutron and low-frequency Raman scattering in a niobium-phosphate glass for Raman gain applications  

E-Print Network [OSTI]

Inelastic neutron and low-frequency Raman scattering in a niobium-phosphate glass for Raman gain: Raman scattering; Neutron scattering; Raman gain; Boson peak We present measurements of the vibrational, extracted from specific-heat or neutron scattering measurements [7,8]. Only very recently two of the present

Schirmacher, Walter

125

Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System  

Science Journals Connector (OSTI)

The three-dimensional global wind field is the most important remaining measurement needed to accurately assess the dynamics of the atmosphere. Wind information in the tropics, high latitudes, and stratosphere is particularly deficient. Furthermore, only ...

Wayman E. Baker; Robert Atlas; Carla Cardinali; Amy Clement; George D. Emmitt; Bruce M. Gentry; R. Michael Hardesty; Erland Källén; Michael J. Kavaya; Rolf Langland; Zaizhong Ma; Michiko Masutani; Will McCarty; R. Bradley Pierce; Zhaoxia Pu; Lars Peter Riishojgaard; James Ryan; Sara Tucker; Martin Weissmann; James G. Yoe

2014-04-01T23:59:59.000Z

126

ARM - Facility News Article  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Raman Lidar Refurbishment and Upgrade Completed Raman Lidar Refurbishment and Upgrade Completed Bookmark and Share During the past several years, the sensitivity of the 8-year old Raman lidar at the ARM Climate Research Facility Southern Great Plains (SGP) site has decreased between a factor of 3-4, resulting in a lower maximum altitude and increased random error in the geophysical properties (such as water vapor mixing ration and aerosol extinction profiles) derived from lidar. In September 2004, a ten-month effort to refurbish and upgrade the aging lidar was completed, as ARM scientists visited the site to align the instrument's newly-refurbished receiving telescope, install new interference filters, and optimize signal levels. Replacing the telescope and interference filters returned the lidar's sensitivity back to its

127

1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cirrus Extinction and Lidar Ratio Derived from Raman Cirrus Extinction and Lidar Ratio Derived from Raman Lidar Measurements at the Atmospheric Radiation Measurement Program Southern Site D. Petty and J. Comstock Pacific Northwest National Laboratory Richland, Washington D. Tuner Space Science Engineering Center, University of Wisconsin-Madison Madison, Wisconsin Introduction Range resolved microphysical properties and extinction coefficient in cirrus clouds are critical for assessing the impact of cirrus on climate. Vertical profiles of cirrus extinction are important parameters for radiative flux and heating rate calculations. The extinction-to-backscatter ratio (also called lidar ratio) provides information on the transmission and reflection properties of cirrus clouds and also on the

128

Simultaneous Neutron Scattering and Raman Scattering  

Science Journals Connector (OSTI)

The capability to make simultaneous neutron and Raman scattering measurements at temperatures between 1.5 and 450 K has been developed. The samples to be investigated are attached to...

Adams, Mark A; Parker, Stewart F; Fernandez-Alonso, Felix; Cutler, David J; Hodges, Christopher; King, Andrew

2009-01-01T23:59:59.000Z

129

A Study on the Effect of Nudging on Long-Term Boundary Layer Profiles of Wind and Weibull Distribution Parameters in a Rural Coastal Area  

Science Journals Connector (OSTI)

By use of 1 yr of measurements performed with a wind lidar up to 600-m height, in combination with a tall meteorological tower, the impact of nudging on the simulated wind profile at a flat coastal site (Høvsøre) in western Denmark using the ...

S.-E. Gryning; E. Batchvarova; R. Floors

2013-05-01T23:59:59.000Z

130

Complex-optical-field lidar system for range and vector velocity measurement  

E-Print Network [OSTI]

Complex-optical-field lidar system for range and vector velocity measurement Shuang Gao,1,2 Maurice O’Sullivan,3 and Rongqing Hui2,* 1Department of Electronic Engineering and Information Science, University of Science and Technology of China... lidar system based on the measurement of complex optical field is demonstrated for the first time. An electro-optic in- phase/quadrature (I/Q) modulator is used in the lidar transmitter to realize carrier-suppressed complex optical field modulation...

Gao, Shuang; Sullivan, Maurice O.; Hui, Rongqing

2012-11-01T23:59:59.000Z

131

Mentee Profile  

Broader source: Energy.gov (indexed) [DOE]

Mentee Profile Mentee Profile The information you provide on this form will assist us in providing you with a list of prospective mentor from which to choose the most appropriate match. Once you've completed the form, please email it to doementoringprogram@hq.doe.gov . Thank you for your interest in the DOE Mentoring Program. Name (last/first): Phone Number: Job Title/Series/Grade: Organization (indicate HQ or field - complete address): Email Address: Are you a Veteran? If yes, do want a veteran mentee? If yes, which branch of the service? Are you student or intern? Do you have a preference on mentor? For example, male, female, particular career field, specific person or other? If so, what or who? Do you want a mentor in your career field? What are your career goals?

132

Mentor Profile  

Broader source: Energy.gov (indexed) [DOE]

Mentor Profile Mentor Profile The information you provide on this form will assist us in providing you with a list of prospective mentee from which to choose the most appropriate match. Once you've completed the form, please email it to doementoringprogram@hq.doe.gov . Thank you for your interest in the DOE Mentoring Program. Name (last/first): Phone Number: Job Title/Series/Grade: Organization (indicate HQ or field - complete address): Email Address: Are you a Veteran? If yes, do want a veteran mentee? If yes, which branch of the service? Do you want a student or intern mentee? Do you have a preference on mentee? For example, male, female, particular career field or other? If so, what or state name of pre selected mentee? Do you want a mentee in your career field? What are your hobbies?

133

Ultraviolet Resonant Raman Enhancements in the Detection of Explosives  

SciTech Connect (OSTI)

Raman-based spectroscopy is potentially militarily useful for standoff detection of high explosives. Normal (non-resonance) and resonance Raman spectroscopies are both light scattering techniques that use a laser to measure the vibrational spectrum of a sample. In resonance Raman, the laser is tuned to match the wavelength of a strong electronic absorbance in the molecule of interest, whereas, in normal Raman the laser is not tuned to any strong electronic absorbance bands. The selection of appropriate excitation wavelengths in resonance Raman can result in a dramatic increase in the Raman scattering efficiency of select band(s) associated with the electronic transition. Other than the excitation wavelength, however, resonance Raman is performed experimentally the same as normal Raman. In these studies, normal and resonance Raman spectral signatures of select solid high explosive (HE) samples and explosive precursors were collected at 785 nm, 244 nm and 229 nm. Solutions of PETN, TNT, and explosive precursors (DNT & PNT) in acetonitrile solvent as an internal Raman standard were quantitatively evaluated using ultraviolet resonance Raman (UVRR) microscopy and normal Raman spectroscopy as a function of power and select excitation wavelengths. Use of an internal standard allowed resonance enhancements to be estimated at 229 nm and 244 nm. Investigations demonstrated that UVRR provided {approx}2000-fold enhancement at 244 nm and {approx}800-fold improvement at 229 nm while PETN showed a maximum of {approx}25-fold at 244 nm and {approx}190-fold enhancement at 229 nm solely from resonance effects when compared to normal Raman measurements. In addition to the observed resonance enhancements, additional Raman signal enhancements are obtained with ultraviolet excitation (i.e., Raman scattering scales as !4 for measurements based on scattered photons). A model, based partly on the resonance Raman enhancement results for HE solutions, is presented for estimating Raman enhancements for solid HE samples.

Short, B J; Carter, J C; Gunter, D; Hovland, P; Jagode, H; Karavanic, K; Marin, G; Mellor-Crummey, J; Moore, S; Norris, B; Oliker, L; Olschanowsky, C; Roth, P C; Schulz, M; Shende, S; Snavely, A; Spear, W

2009-06-03T23:59:59.000Z

134

LiDAR At Twenty-Nine Palms Area (Page, Et Al., 2010) | Open Energy  

Open Energy Info (EERE)

Twenty-Nine Palms Area (Page, Et Al., 2010) Twenty-Nine Palms Area (Page, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Twenty-Nine Palms Geothermal Area (Page, Et Al., 2010) Exploration Activity Details Location Twenty-Nine Palms Geothermal Area Exploration Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown Notes Primary LiDAR application to this project was Airborne Laser Swath Mapping (ALSM). This particular application was used to gather data over a specific land area then used to create a Digital Elevation Model (DEM) with a resolution of approximately 1m in the horizontal direction and 10cm in the vertical direction. The LiDAR data gathered for MCAGCC was analyzed in conjunction with other data, such as aerial photography and field

135

SciTech Connect: Field Test Results from Lidar Measured Yaw Control...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a...

136

Fully automatic calibration of LIDAR and video streams from a vehicle  

E-Print Network [OSTI]

This work describes a fully automatic technique to calibrate a geometric mapping between lidar and video feeds on a mobile ground-based platform. This data association is a crucial first step for any multi-modal scene ...

Bileschi, Stanley M.

137

E-Print Network 3.0 - absorption lidar sensitivity Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

has been modified in recent years (McGee et al., 1991, 1993,20 1995). A Xe... . The NASA God- dard Space Flight Center (GSFC) mobile lidar system was deployed at the Observa-...

138

Studying Clouds and Aerosols with Lidar Depolarization Ratio and Backscatter Relationships  

E-Print Network [OSTI]

comparison of mineral dust aerosol retrievals from two instruments, MODIS and CALIPSO lidar. And, we implement and evaluate a new mineral dust detection algorithm based on the analysis of thin dust radiative signature. In comparison, three commonly used...

Cho, Hyoun-Myoung

2012-02-14T23:59:59.000Z

139

Narrowband sodium lidar for the measurements of mesopause region temperature and wind  

Science Journals Connector (OSTI)

We report here a narrowband high-spectral resolution sodium temperature/wind lidar recently developed at the University of Science and Technology of China (USTC) in Hefei, China...

Li, Tao; Fang, Xin; Liu, Wei; Gu, Sheng-Yang; Dou, Xiankang

2012-01-01T23:59:59.000Z

140

LiDAR At Dixie Valley Geothermal Area (Helton, Et Al., 2011)...  

Open Energy Info (EERE)

Fallon Geothermal Exploration Project. Notes High resolution LiDAR and 1:12000 scale low-sun-angle aerial photography was used in southern Dixie Valley to help better characterize...

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Digital Outcrop Models: Applications of Terrestrial Scanning Lidar Technology in Stratigraphic Modeling  

Science Journals Connector (OSTI)

...passive sensors. All but the most extreme atmospheric and lighting conditions will have little effect on terrestrial lidar...Changes, Cycles, and Reservoirs on Carbonate Platforms in Greenhouse and Ice-house Worlds: SEPM, Short Course no. 35, 147...

J.A. Bellian; C. Kerans; D.C. Jennette

142

2.5 MHz Line-Width High-Energy, 2µm Coherent Wind Lidar Transmitter  

Science Journals Connector (OSTI)

The design of a diode pumped, injection seeded MOPA with a transform limited line width and diffraction limited beam quality is presented. This lidar transmitter produces over 300mJ...

Petros, Mulugeta; Yu, Jirong; Trieu, Bo; Bai, Yingxin; Petzar, Paul; Singh, Upendra N; Reithmaier, Karl

143

NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION  

E-Print Network [OSTI]

NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION by GIJS DE BOER local forcing. A wide range of scales is simulated using the nesting capability of the University

Eloranta, Edwin W.

144

A Portable Airborne Scanning Lidar System for Ocean and Coastal Applications  

Science Journals Connector (OSTI)

A portable compact airborne scanning lidar system based on the Riegl LMS-Q240i has been developed and its functionality demonstrated for oceanographic and coastal measurements. Differential GPS (DGPS) and an inertial navigation system are ...

Benjamin D. Reineman; Luc Lenain; David Castel; W. Kendall Melville

2009-12-01T23:59:59.000Z

145

Lidar-Observed Stress Vectors and Veer in the Atmospheric Boundary Layer  

Science Journals Connector (OSTI)

This study demonstrates that a pulsed wind lidar is a reliable instrument for measuring angles between horizontal vectors of significance in the atmospheric boundary layer. Three different angles are considered: the wind turning, the angle between ...

Jacob Berg; Jakob Mann; Edward G. Patton

2013-09-01T23:59:59.000Z

146

Development of a lidar polarimeter technique of measuring suspended solids in water  

E-Print Network [OSTI]

DEVELOPMENT OF A LIDAR POLARIMETER TECHNIQUE OF MEASURING SUSPENDED SOLIDS IN WATER A Thesis by DAVID W. PRESLEY Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE May 1980 Major Subject; Electrical Engineering DEVELOPMENT OF A LIDAR POLARIMETER TECHNIQUE OF MEASURING SUSPENDED SOLIDS IN WATER A Thesis by DAVID W, PRESLEY Approved as to sty1e and content by: Chairman of Committee H d of Department...

Presley, David W

1980-01-01T23:59:59.000Z

147

Raman gas analyzer for determining the composition of natural gas  

Science Journals Connector (OSTI)

We describe a prototype of a Raman gas analyzer designed for measuring the composition of natural gas. Operation of the gas analyzer was tested on a real natural gas. We show that our Raman gas analyzer prototype...

M. A. Buldakov; B. V. Korolev; I. I. Matrosov…

2013-03-01T23:59:59.000Z

148

Raman-resonant four-wave mixing and energy transfer  

Science Journals Connector (OSTI)

A common assumption that Raman-resonant four-wave mixing does not transfer energy between the light and the Raman medium is shown to be incorrect. The derivation of the correct...

Bobbs, Bradley; Warner, Charles

1990-01-01T23:59:59.000Z

149

Real-TIme Raman Gas Composition Analyzer  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Analyzer Analyzer Opportunity The Department of Energy's National Energy Technology Laboratory (NETL) is seeking collaborative research partners interested in implementing United States Provisional Patent Application entitled "Gas Sensing System Employing Raman Scattering". Disclosed in this application is a gas analyzing sensor that characterizes gaseous fuel, exhaust gases, or other process gas streams. The sensor reports concentrations of all majority gases at better than 0.3% accuracy in 1 second or less, and can be used for real-time gas analysis and system control. The sensor relies on novel techniques to enhance usually weak spontaneous Raman emissions from sample gases, enabling the application of Raman spectroscopy to rapid gas analysis. No commercially available sensor or sensing

150

Multistaged stokes injected Raman capillary waveguide amplifier  

DOE Patents [OSTI]

A multistaged Stokes injected Raman capillary waveguide amplifier for providing a high gain Stokes output signal. The amplifier uses a plurality of optically coupled capillary waveguide amplifiers and one or more regenerative amplifiers to increase Stokes gain to a level sufficient for power amplification. Power amplification is provided by a multifocused Raman gain cell or a large diameter capillary waveguide. An external source of CO.sub.2 laser radiation can be injected into each of the capillary waveguide amplifier stages to increase Raman gain. Devices for injecting external sources of CO.sub.2 radiation include: dichroic mirrors, prisms, gratings and Ge Brewster plates. Alternatively, the CO.sub.2 input radiation to the first stage can be coupled and amplified between successive stages.

Kurnit, Norman A. (Santa Fe, NM)

1980-01-01T23:59:59.000Z

151

Double resonance surface enhanced Raman scattering substrates: an intuitive coupled  

E-Print Network [OSTI]

. Westcott, L. R. Hirsch, J. L. West, and N. J. Halas, "Controlling the surface enhanced Raman effect via

152

Raman Spectrum of Graphene and Graphene Layers  

Science Journals Connector (OSTI)

Graphene is the two-dimensional building block for carbon allotropes of every other dimensionality. We show that its electronic structure is captured in its Raman spectrum that clearly evolves with the number of layers. The D peak second order changes in shape, width, and position for an increasing number of layers, reflecting the change in the electron bands via a double resonant Raman process. The G peak slightly down-shifts. This allows unambiguous, high-throughput, nondestructive identification of graphene layers, which is critically lacking in this emerging research area.

A. C. Ferrari; J. C. Meyer; V. Scardaci; C. Casiraghi; M. Lazzeri; F. Mauri; S. Piscanec; D. Jiang; K. S. Novoselov; S. Roth; A. K. Geim

2006-10-30T23:59:59.000Z

153

Transient Impulsive Giant Electronic Raman Redistribution  

E-Print Network [OSTI]

Resonant Raman excitation by ultrafast vacuum ultraviolet laser pulses is a powerful means to study electron dynamics in molecules, but experiments must contend with linear background ionization: frequencies high enough to reach resonant core-valence transitions will usually ionize all occupied orbitals as well, and the ionization cross sections are usually dominant. Here we show that attosecond pulses can induce a new process, transient impulsive stimulated Raman scattering, which can overwhelm valence ionization. Calculations are performed for atomic sodium, but the principal is valid for many molecular systems. This approach opens the path for high fidelity multidimensional spectroscopy with attosecond pulses.

Miyabe, S

2014-01-01T23:59:59.000Z

154

Doppler effects in resonant x-ray Raman scattering  

Science Journals Connector (OSTI)

Theory for Doppler effects in resonant x-ray Raman scattering (RXS) is presented. It is shown that the “electron” Doppler effect is important in nonradiative RXS for decay transitions between continuum nuclear states lying above the dissociation threshold, and that the averaging of the RXS cross section over molecular orientations can lead to strong non-Lorentzian broadenings of the atomiclike resonances. The Doppler effect is found to give a unique possibility to distinguish dissociating identical atoms, because different peaks correspond to atoms with opposite Doppler shifts. Spectral features of the atomiclike profile are predicted and analyzed. Strong oscillations of the RXS cross section will occur as a consequence of the interference of the Auger electrons. Due to the Doppler effect and the interference, the atomiclike profile can be associated with supernarrow spectral features, the width of which goes below the lifetime broadening and is practically independent of the spectral distribution of the incident radiation. As another consequence of the oscillations and strong anisotropy caused by the interference, we predict parity selection rules for Auger decay transitions in both bound and dissociative systems. The corresponding experiments can be realized by measurements of resonant Auger of surface adsorbed molecules and for molecules by the electron-ion coincidence technique.

Faris Gel’mukhanov; Hans Ågren; Pawe? Sa?ek

1998-04-01T23:59:59.000Z

155

Raman approach in silicon nanostructure at 1.5 micron  

Science Journals Connector (OSTI)

In the last three years, the possibility of light generation and/or amplification in silicon, based on Raman emission, has achieved significant results. However, limitations inherent to the physics of silicon have been pointed out, too. In order to overcome ... Keywords: Raman amplifiers, Raman effect, nonlinear optics, porous silicon

L. Sirleto; M. A. Ferrara; B. Jalali; I. Rendina

2007-09-01T23:59:59.000Z

156

Vibrational Raman Spectroscopy of High-temperature Superconductors  

E-Print Network [OSTI]

Vibrational Raman Spectroscopy of High-temperature Superconductors C. Thomsen and G. Kaczmarczyk after the discovery of high- critical-temperature Tc superconductors:2 while reports on Raman scattering Wiley & Sons Ltd, Chichester, 2002 #12;Vibrational Raman Spectroscopy of High-temperature

Nabben, Reinhard

157

Special Section Guest Editorial Coherent Raman Imaging Techniques and Biomedical  

E-Print Network [OSTI]

Special Section Guest Editorial Coherent Raman Imaging Techniques and Biomedical Applications. The combination of high resolution and molecular contrast has moved Raman techniques into the biomedical spotlight on biomedical imag- ing. The spontaneous Raman interaction is weak, yielding insufficient photons for fast

Potma, Eric Olaf

158

Resonant-Raman intensities and transition energies of the E11 transition in carbon nanotubes * J. Maultzsch,1 S. Reich,2 and C. Thomsen1  

E-Print Network [OSTI]

Resonant-Raman intensities and transition energies of the E11 transition in carbon nanotubes H- troscopy. Radial breathing mode spectra were collected varying the excitation energy in the near-infrared from 1.15 to 1.48 eV. From resonance profiles we obtained the E11 S energies of 11 nanotubes, extending

Nabben, Reinhard

159

Aurichalcite – An SEM and Raman spectroscopic study  

Science Journals Connector (OSTI)

Raman spectroscopy complimented with supplementary infrared spectroscopy has been used to characterise the vibrational spectrum of aurichalcite a zinc/copper hydroxy carbonate (Zn,Cu2+)5(CO3)2(OH)6. XRD patterns of all specimens show high orientation and indicate the presence of some impurities such as rosasite and hydrozincite. However, the diffraction patterns for all samples are well correlated to the standard reference patterns. SEM images show highly crystalline and ordered structures in the form of micron long fibres and plates. EDAX analyses indicate variations in chemical composition of Cu/Zn ratios ranging from 1/1.06 to 1/2.87. The symmetry of the carbonate anion in aurichalcite is Cs and is composition dependent. This symmetry reduction results in multiple bands in both the symmetric stretching and bending regions. The intense band at 1072 cm?1 is assigned to the ?1(CO3)2? symmetric stretching mode. Three Raman bands assigned to the ?3(CO3)2? antisymmetric stretching modes are observed for aurichalcite at 1506, 1485 and 1337 cm?1. Multiple Raman bands are observed in 800–850 cm?1 and 720–750 cm?1 regions and are attributed to ?2 and ?4 bending modes confirming the reduction of the carbonate anion symmetry in the aurichalcite structure. An intense Raman band at 1060 cm?1 is attributed to the ? OH deformation mode.

Ray L. Frost; Matt C. Hales; B. Jagannadha Reddy

2007-01-01T23:59:59.000Z

160

Rapid Research Note Raman Scattering in Resonance  

E-Print Network [OSTI]

-uniformity in the ternary alloy InGaN [4, 5]. However, resonance Raman scattering at bound excitons as reported for CdS doped 220 mm thick GaN film grown by hydride vapor phase epitaxy. Sapphire (0001) with a sputtered Zn

Nabben, Reinhard

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Raman laser with controllable suppression of parasitics  

DOE Patents [OSTI]

Method and apparatus for switching energy out of a Raman laser optical cavity. Coherent radiation at both the pump and first Stokes wave frequencies are introduced into the optical cavity from the same direction, and a second Stokes wave is utilized to switch the energy out of the cavity.

George, E. Victor (Livermore, CA)

1986-01-01T23:59:59.000Z

162

Deriving a Framework for Estimating Individual Tree Measurements with Lidar for Use in the TAMBEETLE Southern Pine Beetle Infestation Growth Model  

E-Print Network [OSTI]

. TAMBEETLE was used to compare spot growth between a lidar-derived forest map and a forest map generated by TAMBEETLE, based on sample plot characteristics. The lidar-derived forest performed comparably to the TAMBEETLE generated forest. Using lidar to map...

Stukey, Jared D.

2011-02-22T23:59:59.000Z

163

Gaussian-function-based deconvolution method to determine the penetration ability of petrolatum oil into in vivo human skin using confocal Raman microscopy  

Science Journals Connector (OSTI)

Human skin pre-treated with petrolatum was analyzed in vivo using confocal Raman microscopy in order to determine the penetration depth of the oil into the skin. The broad Raman peak (2820–3030?cm?1) measured in vivo on human skin in the high wavenumber region exhibits two prominent main Raman peaks at 2880?cm?1 and 2935?cm?1 that originated from cutaneous lipids and keratin and two main peak shoulders at 2850?cm?1 and 2980?cm?1 that originated from lipids and keratin, respectively. Topical application of petrolatum oil onto the skin gives rise to an increase of the intensity of the broad lipid–keratin Raman peak (2820–3030?cm?1). Herewith, not only the intensity of the lipid part but also of the keratin part is increased, making the normalization to keratin and the determination of the petrolatum penetration profile erroneous. To solve this problem, the Gaussian-function-based deconvolution method is introduced in analyzing the Raman spectrum of the lipid–keratin peak and the least square method is applied for analyzing the petrolatum penetration profile. Results obtained in vivo show that the petrolatum oil does not penetrate deeper than 10?µm into intact human skin.

Chun-Sik Choe; Jürgen Lademann; Maxim E Darvin

2014-01-01T23:59:59.000Z

164

Progress Report on Frequency - Modulated Differential Absorption Lidar  

SciTech Connect (OSTI)

Modeling done at Pacific Northwest National Laboratory (PNNL) in FY2000 predicted improved sensitivity for remote chemical detection by differential absorption lidar (DIAL) if frequency-modulated (FM) lasers were used. This improved sensitivity results from faster averaging away of speckle noise and the recently developed quantum cascade (QC) lasers offer the first practical method for implementing this approach in the molecular fingerprint region of the infrared. To validate this model prediction, a simple laboratory bench FM-DIAL system was designed, assembled, tested, and laboratory-scale experiments were carried out during FY2001. Preliminary results of the FM DIAL experiments confirm the speckle averaging advantages predicted by the models. In addition, experiments were performed to explore the use of hybrid QC - CO2 lasers for achieving sufficient frequency-modulated laser power to enable field experiments at longer ranges (up to one kilometer or so). This approach will allow model validation at realistic ranges much sooner than would be possible if one had to first develop master oscillator - power amplifier systems utilizing only QC devices. Amplification of a QC laser with a CO2 laser was observed in the first hybrid laser experiments, but the low gain and narrow linewidth of the CO2 laser available for these experiments prevented production of a high-power FM laser beam.

Cannon, Bret D.; Harper, Warren W.; Myers, Tanya L.; Taubman, Matthew S.; Williams, Richard M.; Schultz, John F.

2001-12-15T23:59:59.000Z

165

Sensing Hadley cell with space-borne lidar  

Science Journals Connector (OSTI)

Abstract Some recent studies reported expansion of the Earth?s tropical regime in the past few decades. The poleward expansion of the Hadley cell is a strong indication of the warming of the globe. The extent of Hadley cell also has very important implications to the climate of dry subtropical regions because of the prevalence of precipitation in the deep tropical belt. Determination of the Hadley circulation especially its extent has great significance for monitoring global climate change and for the subtropical climate studies. Although many methods have been developed in recent years, reliable measurement of the extent of Hadley cell is still an issue in climate studies. This letter shows that the extent of the Hadley cell could reliably be estimated by measuring the height of the uppermost super-thin clouds in the troposphere with space-borne lidar. Through consecutive multi-year measurements of the height of the uppermost super-thin clouds, a good estimation of the expansion of the Hadley cell could be obtained.

Wenbo Sun; Bing Lin; Rosemary R. Baize; Gorden Videen; Yongxiang Hu

2014-01-01T23:59:59.000Z

166

LiDAR At Twenty-Nine Palms Area (Sabin, Et Al., 2010) | Open Energy  

Open Energy Info (EERE)

Nine Palms Area (Sabin, Et Al., 2010) Nine Palms Area (Sabin, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: LiDAR At Twenty-Nine Palms Geothermal Area (Sabin, Et Al., 2010) Exploration Activity Details Location Twenty-Nine Palms Geothermal Area Exploration Technique LiDAR Activity Date Usefulness useful DOE-funding Unknown Notes As previously mentioned, a deep slim hole is scheduled to be drilled in the Camp Wilson area of MCAGCC in June, 2010. The location of this hole is entirely driven by favorable structures as interpreted from LiDAR data and results of the Seabee TGH drilling program completed in early 2009. Details of the MCAGCC work are available in another section of this volume. References Andrew Sabin, S. Bjornstad, M. Lazaro, D. Meade, C. Page, S. Alm, A.

167

Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle  

Open Energy Info (EERE)

Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle Aerial Photography, NAS Fallon Geothermal Exploration Project, Dixie Valley, Nevada Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle Aerial Photography, NAS Fallon Geothermal Exploration Project, Dixie Valley, Nevada Abstract The goal of this study is to map and characterize Quaternary faults in southern Dixie Valley for the Department of the Navy Geothermal Program Office's NAS Fallon Geothermal Exploration Project. We will use this information to better characterize the regional structure and geothermal resource potential of the area,with a focus on determining the structural

168

A Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar Lo, Chaomei Pacific Northwest National Laboratory Comstock, Jennifer Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Category: Cloud Properties Optically thin clouds (e.g. optical depth < 3) can have a significant impact on radiative heating in the atmosphere, particularly in the cold upper troposphere. Currently, there is no value-added product (VAP) in the Atmospheric Radiation Measurement (ARM) program archive that produces thin cloud optical depth, particularly at the Tropical Western Pacific and North Slope of Alaska sites. A VAP is under development to obtain the cirrus cloud visible optical depth from the MPLNOR (Micro Pulse Lidar Normalized

169

Correlated excitations and Raman scattering in glasses  

Science Journals Connector (OSTI)

The dominant Raman line in AX2 tetrahedral glasses is demonstrated to be caused by correlated symmetric stretch motions of the bridging X atoms. Using a bond-polarizability model and the central-force model of Sen and Thorpe, we derive simple analytic forms for Raman spectra. We show that correlations may cause qualitative changes in the polarized spectrum leading to a peak at the edge of a band of vibrational states, whereas the depolarized spectrum is less affected and mimics the density of states. Both features are clearly observed in GeO2 and explain features in many other glasses. The same reasoning leads to a prediction of unusual spectral features in electronic spectra of disordered solids which may be observable in angular-dependent photoemission.

Richard M. Martin and Frank L. Galeener

1981-03-15T23:59:59.000Z

170

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy...

171

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw)...

172

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer...

173

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer...

174

Raman spectroscopy study of selected uranophanes  

Science Journals Connector (OSTI)

Raman spectra at 298 and 77 K of three uranophane samples from different localities are described and interpreted. The spectra are sample dependent. U–O bond lengths in uranyls are calculated from the spectra and compared with the published data of single crystal structure and EXAFS spectroscopy. Hydrogen-bonding of water molecules and silanols is discussed and the ‘proton mobility’ in uranophane sheet crystal structure is assumed.

Ray L. Frost; Ji?í ?ejka; Matt L. Weier; Wayde N. Martens

2006-01-01T23:59:59.000Z

175

All-Optical Blister Test of Suspended Graphene Using Micro-Raman Spectroscopy  

Science Journals Connector (OSTI)

We report a comprehensive micro-Raman study of a pressurized suspended graphene membrane that hermetically seals a circular pit, etched in a Si/SiO2 substrate. Placing the sample under a uniform pressure load results in bulging of the graphene membrane and subsequent softening of the main Raman features, due to tensile strain. In such a microcavity, the intensity of the Raman features depends very sensitively on the distance between the graphene membrane and the Si substrate, which acts as the bottom mirror of the cavity. Thus, a spatially resolved analysis of the intensity of the G- and 2D-mode features as a function of the pressure load permits a direct reconstruction of the blister profile. An average strain is then deduced at each pressure load, and Grüneisen parameters of 1.8±0.2 and 2.4±0.2 are determined for the Raman G and 2D modes, respectively. In addition, the measured blister height is proportional to the cubic root of the pressure load, as predicted theoretically. The validation of this scaling provides a direct and accurate determination of the Young’s modulus of graphene with a purely optical, hence contactless and minimally invasive, approach. We find a Young’s modulus of (1.05±0.10)??TPa for monolayer graphene, in a perfect match with previous nanoindentation measurements. This all-optical methodology opens avenues for pressure sensing using graphene and could readily be adapted to other emerging two-dimensional materials and to nanoresonators.

Dominik Metten; François Federspiel; Michelangelo Romeo; Stéphane Berciaud

2014-11-11T23:59:59.000Z

176

High-Speed Coherent Raman Fingerprint Imaging of Biological Tissues  

E-Print Network [OSTI]

We have developed a coherent Raman imaging platform using broadband coherent anti-Stokes Raman scattering (BCARS) that provides an unprecedented combination of speed, sensitivity, and spectral breadth. The system utilizes a unique configuration of laser sources that probes the Raman spectrum over 3,000 cm$^{-1}$ and generates an especially strong response in the typically weak Raman "fingerprint" region through heterodyne amplification of the anti-Stokes photons with a large nonresonant background (NRB) while maintaining high spectral resolution of $chemical imaging in two- and three-dimensional views of healthy murine liver and pancreas tissues and interfaces between xenograft brain tumors and the surrounding healthy brain matter.

Camp, Charles H; Heddleston, John M; Hartshorn, Christopher M; Walker, Angela R Hight; Rich, Jeremy N; Lathia, Justin D; Cicerone, Marcus T

2014-01-01T23:59:59.000Z

177

Graphene and its derivatives : fabrication and Raman spectroscopy study.  

E-Print Network [OSTI]

??This thesis presents results on fabrication and Raman spectroscopy studies of graphene and its derivates. The works can be divided into two parts as follows.… (more)

Cong, Chunxiao.

2012-01-01T23:59:59.000Z

178

ARM - VAP Product - 10rlprofdep1turn  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

rlprofdep1turn rlprofdep1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027252 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example 10rlprofdep1turn Data Plot Example 10rlprofdep1turn data plot VAP Output : 10RLPROFDEP1TURN 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm Active Dates 1998.03.01 - 2013.12.28 Originating VAP Process Raman LIDAR Vertical Profiles : RLPROF Description The primary goal of the Raman Lidar Profiles - Depolarization Ratio (RLPROF_DEP) VAP is to produce linear depolarization ratio profiles. Linear depolarization is defined as the ratio of the cross-polarized return to the

179

User_TalentProfile  

Broader source: Energy.gov (indexed) [DOE]

Accessing and Modifying Talent Profile Accessing and Modifying Talent Profile © 2011 SuccessFactors, Inc. - 1 - SuccessFactors Learning Confidential. All rights reserved. Job Aid: Accessing and Modifying Talent Profile Purpose The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile information. Task A. Access Talent Profile Enter the web address (URL) of the user application into your browser Address field and press the Enter key. Enter your user ID in the User ID textbox. Enter your password in the Password textbox. Click Sign In. Access Talent Profile 4 Steps Task A Add Information to Talent Profile Sections 5 Steps Task B Edit Talent Profile Sections

180

P:\JODI\P113-137.WPD  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Figure 1. (a) Schematic diagram of idealized Raman Figure 1. (a) Schematic diagram of idealized Raman lidar system. (b) Signals produced by the primary species in the atmosphere. Implementation of Raman Lidar for Profiling of Atmospheric Water Vapor and Aerosols at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Site J.E.M. Goldsmith, F. H. Blair, and S. E. Bisson Sandia National Laboratories Livermore, California Introduction There are clearly identified scientific requirements for con- tinuous profiling of atmospheric water vapor at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site. Research conducted at several laboratories, including our work in a previous Atmospheric Radiation Measurement (ARM) Instrument Development Project, has demonstrated the suitability of Raman lidar for

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths  

E-Print Network [OSTI]

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic extraction. Following this preprocessing, channels are defined as curves of minimal effort, or geodesics and geodesic paths, J. Geophys. Res., 115, F01002, doi:10.1029/2009JF001254. 1. Introduction [2] The detection

Foufoula-Georgiou, Efi

182

AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA  

E-Print Network [OSTI]

AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA N. Demir* , E. Baltsavias, Detection, 3D Modelling ABSTRACT: In this work, an automated approach for 3D building roof modelling on the 3D building roof modelling. Buildings have a critical role for 3D city models, decision support

Schindler, Konrad

183

Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar  

E-Print Network [OSTI]

Measuring forest structure and biomass in New England forest stands using Echidna ground Accepted 12 March 2010 Available online 14 May 2011 Keywords: Ground-based lidar Forest structure Biomass biomass with very good accuracy in six New England hardwood and conifer forest stands. Comparing forest

Ni-Meister, Wenge

184

Master thesis: "Validation of wake-simulation models based on long-range lidar measurements."  

E-Print Network [OSTI]

Figure 1: Simulation of lidar measurements in the wake of a wind turbine using a LES generated wind field mapping and wake/vortex detection in several research projects and airport applications. At ForWind resolution wind data from the inflow and wake of two multi-megawatt wind energy converters. Possible

Peinke, Joachim

185

LIDAR measurements of wind turbine wake dyn_amics and comparison with an engineering model  

E-Print Network [OSTI]

LIDAR measurements of wind turbine wake dyn_amics and comparison with an engineering model 1 dynamics, lIre performed at four diameters behind a 95 kW wind turbine. The wake 111eaeasurement technique allows esti111ation of qUClsiinstantancou~ two dimensional wind fields in an area

186

USING LIDAR TO MEASURE PERFLUOROCARBON TRACERS FOR THE VERIFICATION AND MONITORING  

E-Print Network [OSTI]

USING LIDAR TO MEASURE PERFLUOROCARBON TRACERS FOR THE VERIFICATION AND MONITORING OF CAP AND COVER to detect PMCH (perfluoromethylcyclohexane, one of a group of PFTs used at BNL). Laboratory measurements then measured down to 1 ppb-m. These results are very promising and show great potential for monitoring

187

Fusion of 3D-LIDAR and camera data for scene parsing  

Science Journals Connector (OSTI)

Fusion of information gathered from multiple sources is essential to build a comprehensive situation picture for autonomous ground vehicles. In this paper, an approach which performs scene parsing and data fusion for a 3D-LIDAR scanner (Velodyne HDL-64E) ... Keywords: Camera, Fuzzy logic, MRF, Object detection, RGBD, Scene parsing, Temporal fusion, Velodyne scanner

Gangqiang Zhao; Xuhong Xiao; Junsong Yuan; Gee Wah Ng

2014-01-01T23:59:59.000Z

188

Biomass and Bioenergy 31 (2007) 646655 Estimating biomass of individual pine trees using airborne lidar  

E-Print Network [OSTI]

Biomass and Bioenergy 31 (2007) 646­655 Estimating biomass of individual pine trees using airborne biomass and bio-energy feedstocks. The overall goal of this study was to develop a method for assessing aboveground biomass and component biomass for individual trees using airborne lidar data in forest settings

189

Using LIDAR in Highway Rock Cuts Norbert H. Maerz, Ph. D., P. Eng,  

E-Print Network [OSTI]

the data needed to begin the process of modeling the rock raveling process. INTRODUCTION LIDAR damage, injury, and even death. Highways impeded by even small spills of rock material by blasting techniques to facilitate the highway construction. A constant danger to the motoring public

Maerz, Norbert H.

190

LIDAR-BASED VEHICLE TRACKING FOR STOPPING DISTANCE MEASUREMENT AT INTERSECTIONS  

E-Print Network [OSTI]

] are currently the most commonly used system to detect vehicle and measure velocities at a fixed site of a Light Detection and Ranging (LIDAR) sensor to accurately track a vehicle as it passes through to traffic laws. Driver warning systems can increase vehicle safety, especially near accident

Brennan, Sean

191

Linking imaging spectroscopy and LiDAR with floristic composition and forest structure in Panama  

Science Journals Connector (OSTI)

Abstract Landsat and Shuttle Radar Topography Mission (SRTM) imagery have recently been used to identify broad-scale floristic units in Neotropical rain forests, corresponding to geological formations and their edaphic properties. Little is known about the structural and functional variation between these floristic units, however, and Landsat and SRTM data lack the spectral and spatial resolution needed to provide this information. Imaging spectroscopy and LiDAR (Light Detection and Ranging) have been used to measure canopy structure and function in a variety of ecosystems, but the ability of these technologies to measure differences between compositionally-distinct but otherwise uniform tropical forest types remains unknown. We combined 16 tree inventories from central Panama with imaging spectroscopy and LiDAR elevation data from the Carnegie Airborne Observatory to test our ability to identify patterns in plant species composition, and to measure the spectral and structural differences between adjacent closed-canopy tropical forest types. We found that variations in spectroscopic imagery and LiDAR data were strong predictors of spatial turnover in plant species composition. We also found that these compositional, chemical, and structural patterns corresponded to underlying geological formations and their geomorphological properties. We conclude that imaging spectroscopy and LiDAR data can be used to interpret patterns identified in lower resolution sensors, to provide new information on forest function and structure, and to identify underlying determinants of these patterns.

Mark A. Higgins; Gregory P. Asner; Roberta E. Martin; David E. Knapp; Christopher Anderson; Ty Kennedy-Bowdoin; Roni Saenz; Antonio Aguilar; S. Joseph Wright

2014-01-01T23:59:59.000Z

192

Improved forecasts of extreme weather events by future space borne Doppler wind lidar  

E-Print Network [OSTI]

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

Marseille, Gert-Jan

193

Master Thesis: Dual-Doppler technique applied to scanning lidars for the characterization of  

E-Print Network [OSTI]

and wind turbine wakes in large wind farms offshore. Wind Energy, 12(5):431­444, 2009. [2] Brian Hirth, D of single wind turbines for the validation or tuning of wake models [1]. Recent full-field campaigns showed-lidar system was developed and installed at the offshore wind farm "alpha ventus". This system includes three

Peinke, Joachim

194

Metal uorescence lidar (light detection and ranging) and the middle atmosphere  

E-Print Network [OSTI]

lidar takes advantage of the naturally occurring sodium atoms between 80 and 110 km above sea level (the though it is exposed to constant solar radiation. The hope of explaining a region strongly coupled as the `-pause' of the layer below them (see ®gure 1). Radiative absorption and emission are dominating eects

195

E-Print Network 3.0 - anti-stokes raman spectroscopic Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a coherent anti-Stokes Raman spectroscopic imaging device in which two laser pulse trains... . August 19, 2008 System and method for coherent anti-Stokes Raman scattering...

196

E-Print Network 3.0 - adeep-ultraviolet resonance raman Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Maruyama Summary: Temperature dependence of resonance Raman of single-walled carbon nanotubes Shohei Chiashi... , Mototeru Oba and Shigeo Maruyama Raman scattering from...

197

MODIFYING AN INVERTED LABORATORY MICROSCOPE FOR RAMAN Presented in Partial Fulfillment of the Requirements for  

E-Print Network [OSTI]

MODIFYING AN INVERTED LABORATORY MICROSCOPE FOR RAMAN MICROSCOPY A Thesis Presented in Partial modifications a spectroscopic imaging instrument, a Raman microscope, can be constructed from a common inverted

198

Raman Spectroscopy and Genetic Algorithms for the Classification of Wood Types  

Science Journals Connector (OSTI)

Raman spectroscopy and pattern recognition techniques are used to develop a potential method to characterize wood by type. The test data consists of 98 Raman spectra of temperate...

Lavine, B K; Davidson, C E; Moores, A J; Griffiths, P R

2001-01-01T23:59:59.000Z

199

Quantum-entanglement-initiated super Raman scattering  

SciTech Connect (OSTI)

It has now been possible to prepare a chain of ions in an entangled state and thus the question arises: How will the optical properties of a chain of entangled ions differ from say a chain of independent particles? We investigate nonlinear optical processes in such chains. Since light scattering is quite a versatile technique to probe matter, we explicitly demonstrate the possibility of entanglement-produced super Raman scattering. Our results suggest the possibility of similar enhancement factors in other nonlinear processes like four-wave mixing.

Agarwal, G. S. [Department of Physics, Oklahoma State University, Stillwater, Oklahoma 74078 (United States)

2011-02-15T23:59:59.000Z

200

Optical pumping via incoherent Raman transitions  

E-Print Network [OSTI]

A new optical pumping scheme is presented that uses incoherent Raman transitions to prepare a trapped Cesium atom in a specific Zeeman state within the 6S_{1/2}, F=3 hyperfine manifold. An important advantage of this scheme over existing optical pumping schemes is that the atom can be prepared in any of the F=3 Zeeman states. We demonstrate the scheme in the context of cavity quantum electrodynamics, but the technique is equally applicable to a wide variety of atomic systems with hyperfine ground-state structure.

A. D. Boozer; R. Miller; T. E. Northup; A. Boca; H. J. Kimble

2007-10-04T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Raman Measurements on Electrochemically Doped Single-Walled Carbon Nanotubes  

E-Print Network [OSTI]

Raman Measurements on Electrochemically Doped Single-Walled Carbon Nanotubes P. M. Rafailov, M and studied the Raman response of electro- chemically doped single-walled carbon nanotubes (SWNT) using different salt solutions. The fre- quency shift of the radial breathing mode (RBM) and the high-energy mode

Nabben, Reinhard

202

Shell-isolated nanoparticle-enhanced Raman spectroscopy  

E-Print Network [OSTI]

LETTERS Shell-isolated nanoparticle-enhanced Raman spectroscopy Jian Feng Li1 , Yi Fan Huang1 or in the form of nanoparticles, are required to realise a substantial SERS effect, and this has severely limited, we report an approach, which we name shell-isolated nanoparticle-enhanced Raman spectro- scopy

La Rosa, Andres H.

203

Hydrogen Raman shifts in carbon nanotubes from molecular dynamics simulation  

E-Print Network [OSTI]

Hydrogen Raman shifts in carbon nanotubes from molecular dynamics simulation S.J.V. Frankland *, D hydrogen in individual single-shell carbon nanotubes and nanotube ropes using a semiclassical model. The calculations predict that isolated hydrogen molecules inside of nanotubes have a Raman frequency that increases

Brenner, Donald W.

204

Use of LiDAR to estimate stand characteristics for thinning operations in young Douglas-fir plantations  

Science Journals Connector (OSTI)

Light Detection and Ranging (LiDAR) has been successfully used to describe a wide range of forest metrics at local, regional and national scales. However, little research has used this technology in young Doug...

Michael S Watt; Andrew Meredith; Pete Watt…

2013-12-01T23:59:59.000Z

205

Method to determine and adjust the alignment of the transmitter and receiver fields of view of a LIDAR system  

DOE Patents [OSTI]

A method to determine the alignment of the transmitter and receiver fields of view of a light detection and ranging (LIDAR) system. This method can be employed to determine the far-field intensity distribution of the transmitter beam, as well as the variations in transmitted laser beam pointing as a function of time, temperature, or other environmental variables that may affect the co-alignment of the LIDAR system components. In order to achieve proper alignment of the transmitter and receiver optical systems when a LIDAR system is being used in the field, this method employs a laser-beam-position-sensing detector as an integral part of the receiver optics of the LIDAR system.

Schmitt, Randal L. (Tijeras, NM); Henson, Tammy D. (Albuquerque, NM); Krumel, Leslie J. (Cedar Crest, NM); Hargis, Jr., Philip J. (Albuquerque, NM)

2006-06-20T23:59:59.000Z

206

ferrare-99.PDF  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CART Raman Lidar Retrievals of Aerosol Extinction CART Raman Lidar Retrievals of Aerosol Extinction and Relative Humidity Profiles R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia L. A. Heilman Science Applications International Corporation/ National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. D. Turner Pacific Northwest National Laboratory Richland, Washington W. F. Feltz University of Wisconsin Madison, Wisconsin Introduction We have developed and recently implemented automated algorithms to retrieve aerosol extinction profiles from the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. These profiles are important for determining the effects of aerosols on the clear-sky radiative flux, as well as for validating the aerosol retrieval

207

Field Test Results of Using a Nacelle-Mounted Lidar for Improving Wind Energy Capture by Reducing Yaw Misalignment (Presentation)  

SciTech Connect (OSTI)

Presented at the Nordic Wind Power Conference on November 5, 2014. This presentation describes field-test campaigns performed at the National Wind Technology Center in which lidar technology was used to improve the yaw alignment of the Controls Advanced Research Turbine (CART) 2 and CART3 wind turbines. The campaigns demonstrated that whether by learning a correction function to the nacelle vane, or by controlling yaw directly with the lidar signal, a significant improvement in power capture was demonstrated.

Fleming, P.; Scholbrock, A.; Wright, A.

2014-11-01T23:59:59.000Z

208

HiRes camera and LIDAR ranging system for the Clementine mission  

SciTech Connect (OSTI)

Lawrence Livermore National Laboratory developed a space-qualified High Resolution (HiRes) imaging LIDAR (Light Detection And Ranging) system for use on the DoD Clementine mission. The Clementine mission provided more than 1.7 million images of the moon, earth, and stars, including the first ever complete systematic surface mapping of the moon from the ultra-violet to near-infrared spectral regions. This article describes the Clementine HiRes/LIDAR system, discusses design goals and preliminary estimates of on-orbit performance, and summarizes lessons learned in building and using the sensor. The LIDAR receiver system consists of a High Resolution (HiRes) imaging channel which incorporates an intensified multi-spectral visible camera combined with a Laser ranging channel which uses an avalanche photo-diode for laser pulse detection and timing. The receiver was bore sighted to a light-weight McDonnell-Douglas diode-pumped ND:YAG laser transmitter that emmitted 1.06 {micro}m wavelength pulses of 200 mJ/pulse and 10 ns pulse-width, The LIDAR receiver uses a common F/9.5 Cassegrain telescope assembly. The optical path of the telescope is split using a color-separating beamsplitter. The imaging channel incorporates a filter wheel assembly which spectrally selects the light which is imaged onto a custom 12 mm gated image intensifier fiber-optically-coupled into a 384 x 276 pixel frame transfer CCD FPA. The image intensifier was spectrally sensitive over the 0.4 to 0.8 {micro}m wavelength region. The six-position filter wheel contained 4 narrow spectral filters, one broadband and one blocking filter. At periselene (400 km) the HiRes/LIDAR imaged a 2.8 km swath width at 20-meter resolution. The LIDAR function detected differential signal return with a 40-meter range accuracy, with a maximum range capability of 640 km, limited by the bit counter in the range return counting clock.

Ledebuhr, A.G.; Kordas, J.F.; Lewis, I.T. [and others

1995-04-01T23:59:59.000Z

209

Na double-edge magneto-optic filter for Na lidar profiling of wind and temperature in the  

E-Print Network [OSTI]

proposed by one of the authors (Williams), originating from the Na magneto-optic filter in solar-edge magneto-optic fil- ter (Na-DEMOF). It has advantages over the FPIs and iodine filters because of its magnetic field across the Na cell causes the Zeeman splitting of Na energy levels, which shifts

Chu, Xinzhao

210

Lidar determination of altitude profile of the refraction index in electro-optical monitoring of the Earths atmosphere  

E-Print Network [OSTI]

generated data 1. Introduction Control of atmosphere pollution is a complex problem of environmental of the reconstruction of the individual contributions and the overall altitude pro- file of the refraction index of air the pollutants and obtain detailed information about the distri- bution of the substances both in altitude

211

ARM - Field Campaign - NASA Coordinated Airborne CO2 Lidar Flight Test  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsNASA Coordinated Airborne CO2 Lidar Flight Test Campaign govCampaignsNASA Coordinated Airborne CO2 Lidar Flight Test Campaign Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : NASA Coordinated Airborne CO2 Lidar Flight Test Campaign 2009.07.27 - 2009.08.07 Lead Scientist : Edward Browell For data sets, see below. Description This airborne field test campaign was designed to obtain a coordinated set of remote CO2 Laser Absorption Spectrometer (LAS) measurements using the NASA Langley/ITT 1.57-micron Continuous-Wave (CW) LAS operating from the NASA Langley UC-12 aircraft; the NASA Goddard 1.57-micron pulsed LAS operating from the NASA Glenn Lear-25 aircraft; and the NASA Jet Propulsion Laboratory 2.0-micron CW-coherent LAS operating from a contracted Twin Otter aircraft. These remote LAS CO2 column measurements were compared with

212

Raman and XPS characterization of fuel-cladding interactions using miniature specimens  

SciTech Connect (OSTI)

Laser Raman spectroscopy was evaluated as a tool for studying fuel-cladding chemical interactions at elevated temperatures. Materials and conditions were selected to simulate the interface of oxide fuels and fission products with high-temperature cladding materials for TRU-MOX fueled reactors. Both ex-situ and in-situ spectroscopy measurements were performed using polished HT-9 disks, uncoated and coated with yttria-stabilized zirconia, that were exposed to air oxidation at temperatures between 873-973K. Ex-situ measurements (under ambient conditions) were conducted to identify oxide phases, determine oxidation mechanisms and approximate film growth rates with an optimal signal-to-noise for the equipment used. Subsequently performed in-situ measurements were used to evaluate the sensitivity of the technique for measurements at elevated temperature in a hot-stage. Raman spectra were supported with x-ray photoelectron spectroscopy depth profiling. The results, which are for non-fueled materials in this study, illustrated a method for fast screening of candidate alloys with actinide-based MOX fuel mixtures.

Windisch, Charles F.; Henager, Charles H.; Engelhard, Mark H.; Bennett, Wendy D.

2009-01-01T23:59:59.000Z

213

High resolution properties of the marine atmospheric boundary layer  

SciTech Connect (OSTI)

Los Alamos National Laboratory (LANL) participated in the Central Equatorial Pacific Experiment (CEPEX) by fielding a water-vapor Raman lidar on board the Research Vessel Vickers. The lidar measured water vapor concentration from the surface to lower tropospheric altitudes in order to support the CEPEX goal of evaluating a hypothesis regarding feedback mechanisms for global circulation models. This report describes some of the features observed within the marine Atmospheric Boundary Layer (ABL) and the lower troposphere. Data was collected continuously 24 hours per day over the equatorial Pacific from March 8th to March 2 1st of 1993 while in route between Guadalcanal and Christmas Island (the transect was at approximately 2{degree} south latitude). The lidar collected vertical transects of water vapor concentration up to 10 km during night operations and 4 km in the day. The vertical lidar profiles of water vapor were produced by summing the data over a period up to 600 seconds. The water-vapor Raman lidar measured the properties of the marine ABL as well as the lower and mid-troposphere. From the lidar water vapor profiles, ``images`` of water vapor concentration versus altitude and date or sea surface temperature will be produced along with other products such as latent heat fluxes. The Raman water vapor lidar data will be used to better understand the role of transport and exchange at the ocean-atmosphere interface and throughout the marine atmosphere.

Cooper, D.; Cottingame, W.; Eichinger, W.; Forman, P.; Lebeda, C.; Poling, D.; Thorton, R.

1994-02-01T23:59:59.000Z

214

Measurement of Gas Hydrate by Laser Raman Spectrometry  

Science Journals Connector (OSTI)

Four types of natural sand (respectively 250–350, 180–250, 125 ... ) are used as media to synthesize methane hydrate that is measured by laser Raman spectrometry. ... show that sediment grain sizes do not influen...

Changling Liu; Qingguo Meng; Yuguang Ye

2013-01-01T23:59:59.000Z

215

Detection of Physiologically Relevant Alcohol Concentrations Using Raman Spectroscopy  

E-Print Network [OSTI]

This is the first step in a series of studies to test the feasibility of using Raman Spectroscopy (RS) to non-invasively detect physiologically relevant blood alcohol concentrations. Blood tests, urine tests, and the breathalyzer are currently...

McKay, Joshua L.

2006-08-16T23:59:59.000Z

216

Quantitative biological Raman spectroscopy for non-invasive blood analysis  

E-Print Network [OSTI]

The long term goal of this project is the measurement of clinically-relevant analytes in the blood tissue matrix of human subjects using near-infrared Raman spectroscopy, with the shorter term research directed towards ...

Shih, Wei-Chuan

2007-01-01T23:59:59.000Z

217

High conversion efficiency ultraviolet fiber Raman oscillator--amplifier system  

SciTech Connect (OSTI)

High efficiency UV frequency conversion by stimulated Raman scattering in a XeCl (lambda = 308-nm) excimer laser-pumped multimode fiber is presented. The system consists of a first piece of fiber as a Stokes generator and a second as a power amplifier. Power conversion efficiencies up to 80% have been measured. Uses of fiber Raman amplifiers in the near UV are also discussed.

Pini, R.; Salimbeni, R.; Vannini, M.; Haider, A.F.M.Y.; Lin, C.

1986-04-01T23:59:59.000Z

218

LANSCE | News & Media | Profiles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Profiles Shea Mosby: Lighting the way for nuclear science discoveries By Diana Del Mauro ADEPS Communications Photos by Richard Robinson, IRM-CAS Shea Mosby Cradling a heavy...

219

EIA - State Electricity Profiles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Electricity Profile 2012 Table 1. 2012 Summary statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity (megawatts)...

220

Management's Discussion & Analysis Profile  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

7-26-2013. Management's Discussion & Analysis Profile The Bonneville Power Administration is a federal agency under the Department of Energy. BPA markets wholesale electrical power...

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Arkansas Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity...

222

Surface-Enhanced Raman Scattering (SERS) and Surface-Enhanced Resonance Raman Scattering (SERRS) on HNO3-Roughened Copper Foil  

Science Journals Connector (OSTI)

Copper foils for a Raman study were prepared by a chemical etching method with HNO3. These foils were found to exhibit a strong SERS effect, SERS or SERRS spectra of...

Xue, Gi; Dong, Jian; Zhang, Mingsheng

1991-01-01T23:59:59.000Z

223

Section 22  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

9 9 Raman Lidar Installed at Southern Great Plains Cloud and Radiation Testbed Site for Profiling Atmospheric Water Vapor, Aerosols, and Clouds J.E.M. Goldsmith, S. E. Bisson, and F. H. Blair Sandia National Laboratories Livermore, California We have developed a ruggedized Raman lidar system that a LabVIEW-based program; after the operator responds to a resides permanently at the Southern Great Plains (SGP) Cloud few dialog boxes during system start-up, no further operator and Radiation Testbed (CART) site, providing vertical attention is required. profiles of water vapor, aerosols, and clouds. The CART Raman Lidar was delivered to the site on September 13, 1995, The system is housed in a seatainer, a metal shipping con- and became operational on September 19, in time to support

224

Predicted intensities for new Raman transitions in solid HD  

Science Journals Connector (OSTI)

The scattering efficiencies for the zero-phonon and phonon branches associated with predicted new Raman transitions in solid HD are calculated. These transitions arise from the interaction-induced polarizability of a pair of molecules expressed in terms of the vector separation between the centers of mass and satisfy different rotational selection rules from those of allowed Raman transitions. For single transitions in which only one molecule of the pair is excited by the incoming photon, one expects an R branch, while, for double transitions in which both molecules are excited, one expects R+S and T+S branches with progressively less intensity. A previously obtained experimental Raman spectrum of solid HD does have spectral features similar in shape and intensity to those predicted for the RR phonon branch, although this feature was tentatively assigned as a two-phonon Raman-active transition. We conclude that a new Raman study of solid HD carried out with higher sensitivity and over a greater frequency region would be of interest to determine the correct assignment of this feature and to look for other predicted transitions resulting from the interaction-induced polarizability.

M. Attia; M. Ali; R. H. Tipping; J. D. Poll

1989-11-01T23:59:59.000Z

225

Measurement of Petroleum Fuel Contamination in Water by Solid-Phase Microextraction with Direct Raman Spectroscopic Detection  

Science Journals Connector (OSTI)

A method is described for determining petroleum fuel contamination in water based on solid-phase microextraction and Raman spectroscopy (SPME/Raman). In this method, contaminants are...

Jager, Michael J; McClintic, Daniel P; Tilotta, David C

2000-01-01T23:59:59.000Z

226

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

227

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

228

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

229

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

230

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Arizona Electricity Profile 2010 Arizona profile Arizona Electricity Profile 2010 Arizona profile Table 1. 2010 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,392 15 Electric Utilities 20,115 14 Independent Power Producers & Combined Heat and Power 6,277 16 Net Generation (megawatthours) 111,750,957 12 Electric Utilities 91,232,664 11 Independent Power Producers & Combined Heat and Power 20,518,293 17 Emissions (thousand metric tons) Sulfur Dioxide 33 33 Nitrogen Oxide 57 17 Carbon Dioxide 55,683 15 Sulfur Dioxide (lbs/MWh) 0.7 43 Nitrogen Oxide (lbs/MWh) 1.1 31 Carbon Dioxide (lbs/MWh) 1,099 35 Total Retail Sales (megawatthours) 72,831,737 21 Full Service Provider Sales (megawatthours) 72,831,737 20

231

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

232

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

233

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

234

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

235

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

236

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

237

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

238

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

239

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

240

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

242

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

243

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

244

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

245

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

246

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

247

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

248

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

West Virginia Electricity Profile 2010 West Virginia profile West Virginia Electricity Profile 2010 West Virginia profile Table 1. 2010 Summary Statistics (West Virginia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 16,495 24 Electric Utilities 11,719 21 Independent Power Producers & Combined Heat and Power 4,775 19 Net Generation (megawatthours) 80,788,947 20 Electric Utilities 56,719,755 18 Independent Power Producers & Combined Heat and Power 24,069,192 13 Emissions (thousand metric tons) Sulfur Dioxide 105 20 Nitrogen Oxide 49 23 Carbon Dioxide 74,283 12 Sulfur Dioxide (lbs/MWh) 2.9 20 Nitrogen Oxide (lbs/MWh) 1.3 25 Carbon Dioxide (lbs/MWh) 2,027 5 Total Retail Sales (megawatthours) 32,031,803 34 Full Service Provider Sales (megawatthours) 32,031,803 33

249

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont Electricity Profile 2010 Vermont profile Vermont Electricity Profile 2010 Vermont profile Table 1. 2010 Summary Statistics (Vermont) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 1,128 50 Electric Utilities 260 45 Independent Power Producers & Combined Heat and Power 868 43 Net Generation (megawatthours) 6,619,990 49 Electric Utilities 720,853 44 Independent Power Producers & Combined Heat and Power 5,899,137 35 Emissions (thousand metric tons) Sulfur Dioxide * 51 Nitrogen Oxide 1 50 Carbon Dioxide 8 51 Sulfur Dioxide (lbs/MWh) * 51 Nitrogen Oxide (lbs/MWh) 0.2 51 Carbon Dioxide (lbs/MWh) 3 51 Total Retail Sales (megawatthours) 5,594,833 51 Full Service Provider Sales (megawatthours) 5,594,833 48 Direct Use (megawatthours) 19,806 47

250

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

251

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

252

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

253

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

254

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

255

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

256

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

257

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

258

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Missouri Electricity Profile 2010 Missouri profile Missouri Electricity Profile 2010 Missouri profile Table 1. 2010 Summary Statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 21,739 18 Electric Utilities 20,360 12 Independent Power Producers & Combined Heat and Power 1,378 39 Net Generation (megawatthours) 92,312,989 18 Electric Utilities 90,176,805 12 Independent Power Producers & Combined Heat and Power 2,136,184 46 Emissions (thousand metric tons) Sulfur Dioxide 233 8 Nitrogen Oxide 56 18 Carbon Dioxide 78,815 10 Sulfur Dioxide (lbs/MWh) 5.6 6 Nitrogen Oxide (lbs/MWh) 1.3 26 Carbon Dioxide (lbs/MWh) 1,882 7 Total Retail Sales (megawatthours) 86,085,117 17 Full Service Provider Sales (megawatthours) 86,085,117 15

259

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

260

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

262

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

263

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

264

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

265

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

266

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

267

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

268

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

York Electricity Profile 2010 New York profile York Electricity Profile 2010 New York profile Table 1. 2010 Summary Statistics (New York) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 39,357 6 Electric Utilities 11,032 25 Independent Power Producers & Combined Heat and Power 28,325 5 Net Generation (megawatthours) 136,961,654 9 Electric Utilities 34,633,335 31 Independent Power Producers & Combined Heat and Power 102,328,319 5 Emissions (thousand metric tons) Sulfur Dioxide 62 25 Nitrogen Oxide 44 28 Carbon Dioxide 41,584 22 Sulfur Dioxide (lbs/MWh) 1.0 40 Nitrogen Oxide (lbs/MWh) 0.7 44 Carbon Dioxide (lbs/MWh) 669 42 Total Retail Sales (megawatthours) 144,623,573 7 Full Service Provider Sales (megawatthours) 79,119,769 18

269

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

270

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

271

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

272

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Illinois Electricity Profile 2010 Illinois profile Illinois Electricity Profile 2010 Illinois profile Table 1. 2010 Summary Statistics (Illinois) Item Value U.S. Rank NERC Region(s) MRO/RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 44,127 5 Electric Utilities 4,800 35 Independent Power Producers & Combined Heat and Power 39,327 3 Net Generation (megawatthours) 201,351,872 5 Electric Utilities 12,418,332 35 Independent Power Producers & Combined Heat and Power 188,933,540 3 Emissions (thousand metric tons) Sulfur Dioxide 232 9 Nitrogen Oxide 83 8 Carbon Dioxide 103,128 6 Sulfur Dioxide (lbs/MWh) 2.5 25 Nitrogen Oxide (lbs/MWh) 0.9 38 Carbon Dioxide (lbs/MWh) 1,129 34 Total Retail Sales (megawatthours) 144,760,674 6 Full Service Provider Sales (megawatthours) 77,890,532 19

273

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

274

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

275

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Dakota Electricity Profile 2010 South Dakota profile Dakota Electricity Profile 2010 South Dakota profile Table 1. 2010 Summary Statistics (South Dakota) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,623 45 Electric Utilities 2,994 37 Independent Power Producers & Combined Heat and Power 629 48 Net Generation (megawatthours) 10,049,636 46 Electric Utilities 8,682,448 36 Independent Power Producers & Combined Heat and Power 1,367,188 47 Emissions (thousand metric tons) Sulfur Dioxide 12 43 Nitrogen Oxide 12 43 Carbon Dioxide 3,611 47 Sulfur Dioxide (lbs/MWh) 2.6 23 Nitrogen Oxide (lbs/MWh) 2.6 8 Carbon Dioxide (lbs/MWh) 792 41 Total Retail Sales (megawatthours) 11,356,149 46 Full Service Provider Sales (megawatthours) 11,356,149 42

276

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

277

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Electricity Profile 2010 Massachusetts profile Massachusetts Electricity Profile 2010 Massachusetts profile Table 1. 2010 Summary Statistics (Massachusetts) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 13,697 31 Electric Utilities 937 42 Independent Power Producers & Combined Heat and Power 12,760 8 Net Generation (megawatthours) 42,804,824 34 Electric Utilities 802,906 43 Independent Power Producers & Combined Heat and Power 42,001,918 10 Emissions (thousand metric tons) Sulfur Dioxide 35 31 Nitrogen Oxide 17 38 Carbon Dioxide 20,291 36 Sulfur Dioxide (lbs/MWh) 1.8 34 Nitrogen Oxide (lbs/MWh) 0.9 39 Carbon Dioxide (lbs/MWh) 1,045 38 Total Retail Sales (megawatthours) 57,123,422 26 Full Service Provider Sales (megawatthours) 31,822,942 34

278

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

279

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

280

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

282

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

283

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

284

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

285

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

286

profiles | OpenEI  

Open Energy Info (EERE)

profiles profiles Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

287

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

288

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

289

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

290

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

District of Columbia Electricity Profile 2010 District of Columbia profile District of Columbia Electricity Profile 2010 District of Columbia profile Table 1. 2010 Summary Statistics (District of Columbia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Petroleum Net Summer Capacity (megawatts) 790 51 Independent Power Producers & Combined Heat and Power 790 46 Net Generation (megawatthours) 199,858 51 Independent Power Producers & Combined Heat and Power 199,858 51 Emissions (thousand metric tons) Sulfur Dioxide 1 49 Nitrogen Oxide * 51 Carbon Dioxide 191 50 Sulfur Dioxide (lbs/MWh) 8.8 2 Nitrogen Oxide (lbs/MWh) 4.0 3 Carbon Dioxide (lbs/MWh) 2,104 1 Total Retail Sales (megawatthours) 11,876,995 43 Full Service Provider Sales (megawatthours) 3,388,490 50 Energy-Only Provider Sales (megawatthours) 8,488,505 12

291

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

292

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

293

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

294

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

295

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

296

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

297

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

298

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

299

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

300

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,837 14...

302

EIA - State Electricity Profiles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,587...

303

Profiling for Performance  

Science Journals Connector (OSTI)

Performance and profiling are critical words in our everyday conversations in the office where I work, in our engagements with clients, and in our teaching. Both words apply equally well to all aspec...

Ron Crisco

2011-01-01T23:59:59.000Z

304

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

305

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

306

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

307

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

308

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

309

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

310

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

311

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

312

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Indiana Electricity Profile 2010 Indiana profile Indiana Electricity Profile 2010 Indiana profile Table 1. 2010 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,638 13 Electric Utilities 23,008 8 Independent Power Producers & Combined Heat and Power 4,630 23 Net Generation (megawatthours) 125,180,739 11 Electric Utilities 107,852,560 5 Independent Power Producers & Combined Heat and Power 17,328,179 20 Emissions (thousand metric tons) Sulfur Dioxide 385 4 Nitrogen Oxide 120 4 Carbon Dioxide 116,283 5 Sulfur Dioxide (lbs/MWh) 6.8 4 Nitrogen Oxide (lbs/MWh) 2.1 12 Carbon Dioxide (lbs/MWh) 2,048 4 Total Retail Sales (megawatthours) 105,994,376 11 Full Service Provider Sales (megawatthours) 105,994,376 8

313

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

314

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

315

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

316

The application of surface-enhanced Raman spectroscopy for the detection of excitatory amino acids  

E-Print Network [OSTI]

enhanced Raman spectroscopy (SERS) on aqueous silver colloids. This study examines methods to monitor the colloidal reactions for the calibration of the enhancement observed. Thirty second Raman spectral scans were taken utilizing a 50 mW argon laser...

O'Neal, Dennis Patrick Doucet

1999-01-01T23:59:59.000Z

317

G? band in double- and triple-walled carbon nanotubes: A Raman study  

E-Print Network [OSTI]

Double- and triple-walled carbon nanotubes are studied in detail by laser energy-dependent Raman spectroscopy in order to get a deeper understanding about the second-order G[superscript '] band Raman process, general ...

Hirschmann, Thomas Ch.

318

Competition between stimulated Raman and Brillouin scattering processes in CF4 gas  

Science Journals Connector (OSTI)

CF4 gas has a relatively high Raman cross section and a relatively small Raman shift and is an excellent candidate for a gas-filled hollow-core photonic bandgap (HC-PBG)...

Yehud, Lior Ben; Belker, Daniel; Ravnitzki, Gad; Ishaaya, Amiel A

2014-01-01T23:59:59.000Z

319

Noise figure and photon statistics in coherent anti-Stokes Raman scattering  

E-Print Network [OSTI]

). 11. J. Perina, "Photon statistics in Raman scattering with frequency mismatch," Optica Acta 28, 1529 (1981). 12. J. Perina, "Photon statistics in Raman scattering of intense coherent light," Optica Acta 28

Jalali. Bahram

320

Nanoscale array structures suitable for surface enhanced raman scattering and methods related thereto  

DOE Patents [OSTI]

Methods for fabricating nanoscale array structures suitable for surface enhanced Raman scattering, structures thus obtained, and methods to characterize the nanoscale array structures suitable for surface enhanced Raman scattering. Nanoscale array structures may comprise nanotrees, nanorecesses and tapered nanopillars.

Bond, Tiziana C.; Miles, Robin; Davidson, James C.; Liu, Gang Logan

2014-07-22T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Raman spectroscopy of the components of 18th-century icon painting  

Science Journals Connector (OSTI)

The method of Raman spectroscopy is employed in the analysis of lead-containing pigments in ancient Russian painting, transformed pigments, chalk, and drying oil. The Raman spectra of white lead and the mixture o...

N. N. Brandt; N. L. Rebrikova; A. Yu. Chikishev

2009-12-01T23:59:59.000Z

322

Optical Coherence Tomography and Raman Spectroscopy of the retina  

SciTech Connect (OSTI)

Imaging the structure and correlating it with the biochemical content of the retina holds promise for fundamental research and for clinical applications. Optical coherence tomography (OCT) is commonly used to image the 3D structure of the retina and while the added functionality of biochemical analysis afforded by Raman scattering could provide critical molecular signatures for clinicians and researchers, there are many technical challenges to combining these imaging modalities. We present an ex vivo OCT microscope combined with Raman spectroscopy capable of collecting morphological and molecular information about a sample simultaneously. The combined instrument will be used to investigate remaining technical challenges to combine these imaging modalities, such as the laser power levels needed to achieve a Raman signal above the noise level without damaging the sample.

Evans, J W; Zawadzki, R J; Liu, R; Chan, J; Lane, S; Werner, J S

2009-01-16T23:59:59.000Z

323

UV resonance Raman analysis of trishomocubane and diamondoid dimers  

SciTech Connect (OSTI)

We present resonance Raman measurements of crystalline trishomocubane and diamantane dimers containing a C=C double bond. Raman spectra were recorded with excitation energies between 2.33 eV and 5.42 eV. The strongest enhancement is observed for the C=C stretch vibration and a bending mode involving the two carbon atoms of the C=C bond, corresponding to the B{sub 2g} wagging mode of ethylene. This is associated with the localization of the ?-HOMO and LUMO and the elongation of the C=C bond length and a pyramidalization of the two sp{sup 2}-hybridized carbon atoms at the optical excitation. The observed Raman resonance energies of the trishomocubane and diamantane dimers are significantly lower than the HOMO-LUMO gaps of the corresponding unmodified diamondoids.

Meinke, Reinhard, E-mail: rene@physik.tu-berlin.de; Thomsen, Christian; Maultzsch, Janina [Institut für Festkörperphysik, Technische Universität Berlin, Hardenbergstr. 36, D-10623 Berlin (Germany)] [Institut für Festkörperphysik, Technische Universität Berlin, Hardenbergstr. 36, D-10623 Berlin (Germany); Richter, Robert; Merli, Andrea [Institut für Optik und Atomare Physik, Technische Universität Berlin, Hardenbergstr. 36, D-10623 Berlin (Germany)] [Institut für Optik und Atomare Physik, Technische Universität Berlin, Hardenbergstr. 36, D-10623 Berlin (Germany); Fokin, Andrey A. [Institute of Organic Chemistry, Justus-Liebig University, Heinrich-Buff-Ring 58, D-35392 Giessen (Germany) [Institute of Organic Chemistry, Justus-Liebig University, Heinrich-Buff-Ring 58, D-35392 Giessen (Germany); Department of Organic Chemistry, Kiev Polytechnic Institute, pr. Pobedy 37, 03056 Kiev (Ukraine); Koso, Tetyana V.; Schreiner, Peter R. [Institute of Organic Chemistry, Justus-Liebig University, Heinrich-Buff-Ring 58, D-35392 Giessen (Germany)] [Institute of Organic Chemistry, Justus-Liebig University, Heinrich-Buff-Ring 58, D-35392 Giessen (Germany); Rodionov, Vladimir N. [Department of Organic Chemistry, Kiev Polytechnic Institute, pr. Pobedy 37, 03056 Kiev (Ukraine)] [Department of Organic Chemistry, Kiev Polytechnic Institute, pr. Pobedy 37, 03056 Kiev (Ukraine)

2014-01-21T23:59:59.000Z

324

Raman fibre lasers based on heavily GeO{sub 2}-doped fibres  

SciTech Connect (OSTI)

Amplification of radiation due to stimulated Raman scattering in an optical fibre with a heavily GeO{sub 2}-doped core and a fused silica cladding is studied. The applications of such fibres in Raman lasers are demonstrated. A Raman fibre laser emitting 10 W at a fibre length of only 3 m and Raman lasers emitting at 1.73, 1.85, 2.06, and 2.2 {mu}m are fabricated for the first time. (fibre lasers)

Dianov, Evgenii M; Bufetov, Igor' A; Mashinsky, V M; Shubin, Aleksei V; Medvedkov, O I; Rakitin, A E; Mel'kumov, Mikhail A [Fiber Optics Research Center, Russian Academy of Sciences, Moscow (Russian Federation); Khopin, V F; Gur'yanov, A N [Institute of Chemistry of High-Purity Substances, Russian Academy of Sciences, Nizhnii Novgorod (Russian Federation)

2005-05-31T23:59:59.000Z

325

Summary report of FY 1995 Raman spectroscopy technology development  

SciTech Connect (OSTI)

US DOE is sponsoring development of remote, fiber-optic Raman spectroscopy for rapid chemical characterization of Hanford high-level radioactive tank waste. Deployment targets for this technology are analytical hot cells and, via the Light-Duty Utility Arm and cone penetrometer, the waste tanks themselves. Perceived benefits of fiber-optic Raman spectroscopy are (1) rapid generation of tank-waste safety-related data, (2) reduced personnel exposure to highly radioactive waste, (3) reduced tank-waste sampling and analysis costs, and (4) reduced radioactive analytical waste. This document presents the results from the investigation of two dispersive, transmission-grating Raman systems and four fiber-optic Raman probe designs with non-radioactive tank waste simulants. One Raman system used a 532-nm, 400 mW, solid-state laser; the other used a 785-nm, 500 mW, solid-state diode laser. We found (1) the transmission-grating systems had better wavelength stability than previously tried Czerny-Turner-Based systems and (2) the 785-nm system`s specie detection limits in the spectral fingerprint regiion were at least as good as those for the 532-nm system. Based on these results, and the fact that some tank wastes luminesce with 514.5nm excitation, we selected the 785-nm system for hot-cell use. Of the four probes tested, three had a ``six-around-on`` fiber probe design; the fourth probe was a one-fiber-in-one-fiber-out, diffuse-relectance design. Comparison of the four probes` signal-to-noise rations, rations, transmission/collection efficiencies, and probe-silica Raman backgrounds showed that the best probe for use with Hanford-Site tank waste should (1) be filtered as close to the probe tip as possible to reduce the probe-silica Raman background and (2) have multiple collection fibers. The responses of all the probes tested showed a strong dependence on probe-sample distance, and the presence of a probe window appeared to increase the probe`s silica Raman background.

Douglas, J.G.

1995-11-01T23:59:59.000Z

326

Infrared divergence of the resonant Raman-Compton scattering  

Science Journals Connector (OSTI)

The infrared divergence of the resonant Raman-Compton scattering has been studied in collisions of photons on atomic L electrons in the intermediate-momentum-transfer regime. Low-energy continua emitted by Zr atoms, excited, in the vicinity of the K edge, by the monochromatized x rays delivered by the LURE Synchrotron Radiation Facility, have been observed on vary thin targets and compared with the theoretically predicted infrared divergence of the Raman scattering. The characteristic change in shape of these continua has been studied on a wide energy range below the Zr K edge.

J. P. Briand; A. Simionovici; P. Chevallier; P. Indelicato

1989-05-01T23:59:59.000Z

327

Raman scattering in carbon nanotubes revisited J. Maultzsch, S. Reich, and C. Thomsen  

E-Print Network [OSTI]

of whether the high-energy Raman spectrum in carbon nanotubes is also dominated by processes that allow for understanding the high-energy modes in carbon nanotubes attribute the ob- served Raman peaks to -pointRaman scattering in carbon nanotubes revisited J. Maultzsch, S. Reich, and C. Thomsen Institut fu

Nabben, Reinhard

328

Variable temperature Raman microscopy as a nanometrology tool for graphene layers and graphene-based devices  

E-Print Network [OSTI]

Variable temperature Raman microscopy as a nanometrology tool for graphene layers and graphene; accepted 24 July 2007; published online 15 August 2007 Raman microscopy of graphene was carried out over-band frequencies extracted from Raman spectra of the single-layer graphene are - 1.6±0.2 10-2 cm-1 /K and - 3

329

Raman response of magnetic excitations in cuprate ladders and planes K. P. Schmidt*  

E-Print Network [OSTI]

by inelastic neutron scattering,10­14 the quantitative un- derstanding of the two-magnon line shape is heavily debated. Two-magnon Raman scattering has been proven to be a powerful tool to study quantum as two-triplon Raman scattering. On the one hand, one may expect that the Raman re- sponse is dominated

Nabben, Reinhard

330

Lidar Investigation of Tropical Nocturnal Boundary Layer Aerosols and Cloud Macrophysics  

SciTech Connect (OSTI)

Observational evidence of two-way association between nocturnal boundary layer aerosols and cloud macrophysical properties under different meteorological conditions is reported in this paper. The study has been conducted during 2008-09 employing a high space-time resolution polarimetric micro-pulse lidar over a tropical urban station in India. Firstly, the study highlights the crucial role of boundary layer aerosols and background meteorology on the formation and structure of low-level stratiform clouds in the backdrop of different atmospheric stability conditions. Turbulent mixing induced by the wind shear at the station, which is associated with a complex terrain, is found to play a pivotal role in the formation and structural evolution of nocturnal boundary layer clouds. Secondly, it is shown that the trapping of energy in the form of outgoing terrestrial radiation by the overlying low-level clouds can enhance the aerosol mixing height associated with the nocturnal boundary layer. To substantiate this, the long-wave heating associated with cloud capping has been quantitatively estimated in an indirect way by employing an Advanced Research Weather Research and Forecasting (WRF-ARW) model version 2.2 developed by National Center for Atmospheric Research (NCAR), Colorado, USA, and supplementary data sets; and differentiated against other heating mechanisms. The present investigation as well establishes the potential of lidar remote-sensing technique in exploring some of the intriguing aspects of the cloud-environment relationship.

Manoj, M. G.; Devara, PC S.; Taraphdar, Sourav

2013-10-01T23:59:59.000Z

331

1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Raman Lidar at Southern Great Plains: New Measurement Capabilities D. Petty and J. Comstock Pacific Northwest National Laboratory Richland, Washington D. Turner Space Science and Engineering Center University of Wisconsin Madison, Wisconsin J. Goldsmith Sandia National Laboratory Livermore, California Z. Wang University of Wyoming Laramie, Wyoming Introduction The Atmospheric Radiation Measurement Program (ARM) Raman Lidar (CARL) was designed and deployed for the purpose of collecting a long-term observational data set that can be used to study and improve the understanding of processes that affect atmospheric radiation and the description of these processes in climate models [1]. It operates as an unattended, turn-key system for profiling tropospheric

332

A comparison of cloud top heights computed from airborne lidar and MAS radiance data using CO2 slicing  

E-Print Network [OSTI]

A comparison of cloud top heights computed from airborne lidar and MAS radiance data using CO2 in assessing the accuracy of the CO2-slicing cloud height algorithm. Infrared measurements of upwelling which included various single- layer and multilayer cloud conditions. Overall, the CO2-slicing method

Sheridan, Jennifer

333

SIMULTANEOUS AND COMMON-VOLUME LIDAR OBSERVATIONS OF THE MESOSPHERIC FE AND NA LAYERS AT BOULDER (40N, 105W)  

E-Print Network [OSTI]

inputs can reproduce some large-scale characteristics but are challenged in simulating small- scale the general structures more precisely as well as simulating the challenging small scale features. In Aug. The Fe Boltzmann temperature lidar was under upgrading and validating at Boulder before its deployment

Chu, Xinzhao

334

Modeling lidar waveforms with time-dependent stochastic radiative transfer theory for remote estimations of forest structure  

E-Print Network [OSTI]

with field data from two conifer forest stands (southern old jack pine and southern old black spruce estimations of forest structure Svetlana Y. Kotchenova,1 Nikolay V. Shabanov,1 Yuri Knyazikhin,1 Anthony B (lidars) have demonstrated a potential for accurate remote sensing of forest biomass and structure

Goldberg, Bennett

335

Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint  

SciTech Connect (OSTI)

This paper describes field tests of a light detection and ranging (lidar) device placed forward looking on the nacelle of a wind turbine and used as a wind direction measurement to directly control the yaw position of a wind turbine. Conventionally, a wind turbine controls its yaw direction using a nacelle-mounted wind vane. If there is a bias in the measurement from the nacelle-mounted wind vane, a reduction in power production will be observed. This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a measurement of the wind could be made upstream of the wind turbine where the wind is not being influenced by the rotor's wake or induction zone. Field tests were conducted with the lidar measured yaw system and the nacelle wind vane measured yaw system. Results show that a lidar can be used to effectively measure the yaw error of the wind turbine, and for this experiment, they also showed an improvement in power capture because of reduced yaw misalignment when compared to the nacelle wind vane measured yaw system.

Scholbrock, A.; Fleming, P.; Wright, A.; Slinger, C.; Medley, J.; Harris, M.

2014-12-01T23:59:59.000Z

336

Performance profiles style sheet  

Gasoline and Diesel Fuel Update (EIA)

Performance Profiles of Major Energy Producers 2009 Performance Profiles of Major Energy Producers 2009 vii Major Findings This edition of Performance Profiles reviews financial and operating data for the calendar year 2009 and discusses important trends and emerging issues relevant to U.S. energy company operations. Major U.S.-based oil and natural gas producers and petroleum refiners submit the data in this report annually on Form EIA-28, the Financial Reporting System (FRS). FRS companies' net income declined to the lowest level since 2002.  Net income fell 66 percent (in constant 2009 dollars) to $30 billion in 2009 from $88 billion in 2008. Substantial reductions in oil and natural gas prices in 2009 slowed revenue growth. FRS companies cut operating costs but by less than the decline in revenue, resulting in a 69-percent drop in operating income.

337

State Nuclear Profiles 2010  

U.S. Energy Information Administration (EIA) Indexed Site

State Nuclear Profiles 2010 State Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. U.S. Energy Information Administration | State Nuclear Profiles 2010 i Contacts This report was prepared by the staff of the Renewables and Uranium Statistics Team, Office of Electricity,

338

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Raman Lidar Characterization of the Vertical Variability of Aerosols and Raman Lidar Characterization of the Vertical Variability of Aerosols and Water Vapor Over the SGP Ferrare, R.A. (a), Turner, D.D. (b,g), Brasseur, L.H. (c), Tooman, T.P. (d), Dubovik, O. (e), Goldsmith, J.E.M. (d), Ogren, J.A. (f), and Feltz, W. (g), NASA Langley Research Center (a), Pacific Northwest National Laboratory (b), Science Applications International Corporation/NASA/LaRC (c), Sandia National Laboratories (d), SSAI/NASA Goddard Space Flight Center (e), NOAA Climate Monitoring and Diagnostics Laboratory (f), University of Wisconsin-Madison (g) Eleventh Atmospheric Radiation Measurement (ARM) Science Team Meeting The automated Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar routinely measures profiles of water vapor mixing ratio,

339

1  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Recent Progress in CART Raman Lidar Measurements Recent Progress in CART Raman Lidar Measurements J. E. M. Goldsmith and T. P. Tooman Sandia National Laboratories Livermore, California R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. D. Turner (a) Pacific Northwest National Laboratory Richland, Washington Introduction The Cloud and Radiation Testbed (CART) Raman Lidar was developed to provide continuous, automated vertical profiling of atmospheric water vapor, aerosols, and clouds. The system was delivered to the Southern Great Plains (SGP) CART site on September 13, 1995, and became operational on September 19, 1995. Routine operation of the system was delayed due to early laser reliability problems, but system reliability has increased dramatically with weekly uptimes in excess of

340

Shell-isolated nanoparticle-enhanced Raman spectroscopy  

Science Journals Connector (OSTI)

... However, generally substrates based on metals such as Ag, Au and Cu, either with roughened surfaces or in the form of nanoparticles, are required to realise a substantial SERS ... attributed to the Pt–H stretching vibration mode according to the previous reports on highly roughened Pt surfaces. In addition, we collected Raman signals on Pt(111) under the ...

Jian Feng Li; Yi Fan Huang; Yong Ding; Zhi Lin Yang; Song Bo Li; Xiao Shun Zhou; Feng Ru Fan; Wei Zhang; Zhi You Zhou; De Yin Wu; Bin Ren; Zhong Lin Wang; Zhong Qun Tian

2010-03-18T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Surface-enhanced Raman scattering from silver electrodes  

SciTech Connect (OSTI)

The chemical and physical origins of the anomalously large enhancement of the Raman scattering cross section for molecules adsorbed on silver electrodes in an electrochemical cell were investigated. The effect of the chemical reactions which occur during the anodization/activation procedure were studied using the Ag-CN system. It was shown that the function of the anodization process is to roughen the electrode surface and create an activated site for bonding to the cyanide. A new nonelectrochemical technique for activating the silver surface, along with a study of the enhanced cyanide Raman scattering in different background electrolytes, showed that the Raman active entity on the surface must be a silver-cyanide complex. In order to study the physical mechanism of the enhancement, the angular dependence of the scattered radiation was measured from pyridine adsorbed on an evaporated silver electrode. Both polycrystalline and single crystalline silver films were used. The angular dependence of the scattered radiation from these films showed that the metal surface was controlling the directional properties of the scattered radiation, and not the polarizability tensor of the adsorbate. Based on these experimental results, it was concluded that for weakly roughened silver electrodes the source of the anomalous enhancement is due to a resonant Raman scattering process.

Trott, G.R.

1982-01-01T23:59:59.000Z

342

Electrochemical and Raman measurements on single-walled carbon nanotubes  

E-Print Network [OSTI]

Electrochemical and Raman measurements on single-walled carbon nanotubes M. Stoll a,*, P performed on a carbon nanotube mat as a working electrode using different salt solutions. The gravimetric capacitance of the nanotube material was estimated and its effective surface area was de- termined in a purely

Nabben, Reinhard

343

Raman Scattering in Carbon Nanotubes Christian Thomsen1  

E-Print Network [OSTI]

energy [4]. Theoretically, the electronic dispersion of nanotubes may be described by an- alyticRaman Scattering in Carbon Nanotubes Christian Thomsen1 and Stephanie Reich2 1 Institut f¨ur Festk of single-walled carbon nanotubes reflect the electron and phonon confinement as well as the cylindrical

Nabben, Reinhard

344

Single-pulse Raman scattering studies of heterogeneous explosive materials  

SciTech Connect (OSTI)

Raman scattering from ambient and shock-loaded heterogeneous (compressed pure polycrystalline) explosive materials has been examined using single-pulse laser excitation. In the case of triamino-trinitrobenzene (TATB), intense nonlinear scattering at 1170 cm/sup -1/ has been observed.

Trott, W.M.; Renlund, A.M.

1985-05-15T23:59:59.000Z

345

Stimulated Raman scattering in an ethanol core microstructured optical fiber  

E-Print Network [OSTI]

Delaye, Anne Rouvie, Jordi Chinaud, Robert Frey, Gérald Roosen Laboratoire Charles Fabry de l'Institut d" Phys. Rev. Lett. 9, 455 (1962) 2. Y.R. Shen "The principles of nonlinear optics" (John Wiley and Sons, New York, 1994). 4. R.Frey, F. Pradère "Powerful tunable infrared generation by stimulated Raman

Paris-Sud XI, Université de

346

Raman Amplification of Laser Pulses in Microcapillary Plasmas  

E-Print Network [OSTI]

of overcoming the power limit of current chirped-pulse-amplification (CPA) CP641, X-Ray Lasers 2002: 8th International Conference on X-Ray Lasers, edited by J. J. Rocca et al. > 2002American Institute of Physics 0 of the optics. Such Raman amplifiers can be useful to produce ultra-intense laser pulses for pumping soft x-ray

347

hal00276997, Raman spectra of misoriented bilayer graphene  

E-Print Network [OSTI]

hal­00276997, version 1 ­ 5 May 2008 Raman spectra of misoriented bilayer graphene P. Poncharal 1 spectra from single layer graphene with a bilayer in which the two layers are arbitrarily misoriented to the similarity of the electronic structures of single layer graphene and misoriented bilayer graphene. Another

Paris-Sud XI, Université de

348

Raman spectroscopy on simple molecular systems at very high density  

SciTech Connect (OSTI)

We present an overview of how Raman spectroscopy is done on simple molecular substances at high pressures. Raman spectroscopy is one of the most powerful tools for studying these substances. It is often the quickest means to explore changes in crystal and molecular structures, changes in bond strength, and the formation of new chemical species. Raman measurements have been made at pressures up to 200 GPa (2 Mbar). Even more astonishing is the range of temperatures (4-5200/degree/K) achieved in various static and dynamic (shock-wave) pressure experiments. One point we particularly wish to emphasize is the need for a good theoretical understanding to properly interpret and use experimental results. This is particularly true at ultra-high pressures, where strong crystal field effects can be misinterpreted as incipient insulator-metal transitions. We have tried to point out apparatus, techniques, and results that we feel are particularly noteworthy. We have also included some of the /open quotes/oral tradition/close quotes/ of high pressure Raman spectroscopy -- useful little things that rarely or never appear in print. Because this field is rapidly expanding, we discuss a number of exciting new techniques that have been informally communicated to us, especially those that seem to open new possibilities. 58 refs., 18 figs.

Schiferl, D.; LeSar, R.S.; Moore, D.S.

1988-01-01T23:59:59.000Z

349

Postdoc Position in Microfluidics and Single Cell Raman Spectroscopy  

E-Print Network [OSTI]

Postdoc Position in Microfluidics and Single Cell Raman Spectroscopy Department of Microbial and Environmental Microfluidics Group (http://web.mit.edu/romanstocker) Department of Civil & Environmental (junior or senior) with strong expertise in microfluidics and an interest in applying it to microbial

Horn, Matthias

350

Laser Raman Spectroscopy in studies of corrosion and electrocatalysis  

SciTech Connect (OSTI)

Laser Raman Spectroscopy (LRS) has become an important tool for the in-situ structural study of electrochemical systems and processes in recent years. Following a brief introduction of the experimental techniques involved in applying LRS to electrochemical systems, we survey the literature for examples of studies in the inhibition of electrode reactions by surface films (e.g., corrosion and passivation phenomena) as well as the acceleration of reactions by electro-sorbates (electrocatalysis). We deal mostly with both normal and resonance Raman effects on fairly thick surface films in contrast to surface-enhanced Raman investigations of monolayer adsorbates, which is covered in another lecture. Laser Raman spectroelectrochemical studies of corrosion and film formation on such metals as Pb, Ag, Fe, Ni, Co, Cr, Au, stainless steel, etc. in various solution conditions are discussed. Further extension of the technique to studies in high-temperature and high-pressure aqueous environments is demonstrated. Results of studies of the structure of corrosion inhibitors are also presented. As applications of the LRS technique in the area of electrocatalysis, we cite studies of the structure of transition metal macrocyclic compounds, i.e., phthalocyanines and porphyrins, used for catalysis of the oxygen reduction reaction. 104 refs., 20 figs.

Melendres, C.A.

1988-01-01T23:59:59.000Z

351

Single Molecule Tip Enhanced Raman Spectroscopy NSF Grant # 1121262  

E-Print Network [OSTI]

MRSEC Single Molecule Tip Enhanced Raman Spectroscopy NSF Grant # 1121262 Matthew D. Sonntag1, it can "see" one single molecule at a time, this was carried out by studying the vibrational signature fingerprint that allows molecule identification. J. Phys. Chem. C, 2012, 116 (1), pp 478­483 · R6G-d4 · R6G-d0

Shahriar, Selim

352

Raman spectroscopic studies of chemical speciation in calcium chloride melts  

SciTech Connect (OSTI)

Raman spectroscopy was applied to CaCl2 melts at 900 degrees C under both non-electrolyzed and electrolyzed conditions. The later used titania cathodes supplied by TIMET, Inc. and graphite anodes. Use of pulse-gating to collect the Raman spectra successfully eliminated any interference from black-body radiation and other stray light. The spectrum of molten CaCl2 exhibited no distinct, resolvable bands that could be correlated with a calcium chloride complex similar to MgCl42- in MgCl2 melts. Rather, the low frequency region of the spectrum was dominated by a broad “tail” arising from collective oscillations of both charge and mass in the molten salt “network.” Additions of both CaO and Ca at concentrations of a percent or two resulted in no new features in the spectra. Addition of CO2, both chemically and via electrolysis at concentrations dictated by stability and solubility at 900 degrees C and 1 bar pressure, also produced no new bands that could be correlated with either dissolved CO2 or the carbonate ion. These results indicated that Raman spectroscopy, at least under the conditions evaluated in the research, was not well suited for following the reactions and coordination chemistry of calcium ions, nor species such as dissolved metallic Ca and CO2 that are suspected to impact current efficiency in titanium electrolysis cells using molten CaCl2. Raman spectra of TIMET titania electrodes were successfully obtained as a function of temperature up to 900 degrees C, both in air and in-situ in CaCl2 melts. However, spectra of these electrodes could only be obtained when the material was in the unreduced state. When reduced, either with hydrogen or within an electrolysis cell, the resulting electrodes exhibited no measurable Raman bands under the conditions used in this work.

Windisch, Charles F.; Lavender, Curt A.

2005-02-01T23:59:59.000Z

353

Graphene as a Substrate To Suppress Fluorescence in Resonance Raman Spectroscopy  

E-Print Network [OSTI]

Resonance Raman spectroscopy (RRS), which can enhance Raman signal by 107 times than normal Raman spectroscopy, is a powerful approach to characterize structures of chemicals (especially biomolecules) at low concentrations.1-4 However, fluorescence (FL) background is a major obstacle in RRS because the FL cross section (?10-16 cm2) is much larger than the RRS cross section (?10-22 cm2).3 Several approaches, such as ultraviolet RRS (UV-RRS),1 time-resolved Raman detection,5,6 femtosecond broadband stimu-lated Raman spectroscopy (FSRS),7 and coherent anti-Stokes Raman spectroscopy (CARS),8 have been used to suppress or reject FL background in RRS. However, these approaches need expensive and complex equipments and have other limitations, such as sample degradation in UV-RRS. Surface-enhanced Raman spectroscopy (SERS) is another powerful approach to characterize structures of chemicals at extremely low concentrations or even at the single

Liming Xie; Xi Ling; Yuan Fang; Jin Zhang; Zhongfan Liu

2009-01-01T23:59:59.000Z

354

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

355

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

356

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

357

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

358

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

359

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

360

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031 22.1 296 0.7 Total 13,697 100.0 42,805 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

362

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

363

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

364

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

365

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

366

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

367

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

368

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

369

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

370

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

371

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

372

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

373

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3 3,281 3.2 Total 26,744 100.0 102,885 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

374

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Illinois Nuclear Profile 2010 Illinois profile Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110 0.1 Total 44,127 100.0 201,352 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

375

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

376

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Nuclear Profile 2010 Iowa profile Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

377

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

378

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

379

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

380

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

382

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

383

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

384

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Ohio Nuclear Profile 2010 Ohio profile Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total 33,071 100.0 143,598 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

385

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

386

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

387

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

388

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

389

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

390

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

391

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

392

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

393

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

394

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

York Nuclear Profile 2010 New York profile York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3 2,005 1.5 Total 39,357 100.0 136,962 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

395

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

396

A Method for Estimating the Turbulent Kinetic Energy Dissipation Rate from a Vertically Pointing Doppler Lidar, and Independent Evaluation from Balloon-Borne In Situ Measurements  

Science Journals Connector (OSTI)

A method of estimating dissipation rates from a vertically pointing Doppler lidar with high temporal and spatial resolution has been evaluated by comparison with independent measurements derived from a balloon-borne sonic anemometer. This method ...

Ewan J. O’Connor; Anthony J. Illingworth; Ian M. Brooks; Christopher D. Westbrook; Robin J. Hogan; Fay Davies; Barbara J. Brooks

2010-10-01T23:59:59.000Z

397

ARM - VAP Process - rlprof  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Productsrlprof Productsrlprof Documentation & Plots Technical Report Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : Raman LIDAR Vertical Profiles (RLPROF) Instrument Categories Aerosols, Atmospheric Profiling, Derived Quantities and Models Rlprof data flow diagram Rlprof data flow diagram Data flowchart for the RLPROF family. (Larger image available.) The Raman lidar automatically attempts to reoptimize the position of the laser beam in the detector's field-of-view every few hours (this is required for most narrow field-of-view lidar systems). However, this can introduce alignment artifacts in the narrow field-of-view data due to the way the detection channels are arranged on the optical bench. A suite of

398

EIA - State Electricity Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

399

Performance profiles style sheet  

Gasoline and Diesel Fuel Update (EIA)

06) 06) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2006 December 2007 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts Performance Profiles of Major Energy Producers 2006 is prepared by the Energy Information Administration, Office of Energy Markets and End Use, Energy Markets and Contingency Information Division, Financial

400

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Chemical profiles of switchgrass  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

profiles profiles of switchgrass Zhoujian Hu a,b , Robert Sykes a,c , Mark F. Davis a,c , E. Charles Brummer a,d , Arthur J. Ragauskas a,b,e, * a BioEnergy Science Center, USA b School of Chemistry and Biochemistry, Institute of Paper Science and Technology, Georgia Institute of Technology, Atlanta, GA 30332, USA c National Renewable Energy Laboratory, 1617 Cole Blvd., Golden, CO 80401, USA d Institute for Plant Breeding, Genetics, and Genomics, Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA e Forest Products and Chemical Engineering Department, Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Göteborg, Sweden a r t i c l e i n f o Article history: Received 15 April 2009 Received in revised form 10 December 2009 Accepted 10 December 2009 Available online 13 January 2010 Keywords: Switchgrass Morphological components Chemical

402

Temperature profile detector  

DOE Patents [OSTI]

Disclosed is a temperature profile detector shown as a tubular enclosure surrounding an elongated electrical conductor having a plurality of meltable conductive segments surrounding it. Duplicative meltable segments are spaced apart from one another along the length of the enclosure. Electrical insulators surround these elements to confine molten material from the segments in bridging contact between the conductor and a second electrical conductor, which might be the confining tube. The location and rate of growth of the resulting short circuits between the two conductors can be monitored by measuring changes in electrical resistance between terminals at both ends of the two conductors. Additional conductors and separate sets of meltable segments operational at differing temperatures can be monitored simultaneously for measuring different temperature profiles. 8 figs.

Tokarz, R.D.

1983-10-11T23:59:59.000Z

403

Raman scheme for adjustable-bandwidth quantum memory  

SciTech Connect (OSTI)

We propose a scenario of quantum memory for light based on Raman scattering. The storage medium is a vapor and the different spectral components of the input pulse are stored in different atomic velocity classes. One uses appropriate pulses to reverse the resulting Doppler phase shift and to regenerate the input pulse, without distortion, in the backward direction. The different stages of the protocol are detailed and the recovery efficiency is calculated in the semiclassical picture. Since the memory bandwidth is determined by the Raman transition Doppler width, it can be adjusted by changing the angle between the input pulse wave vector and the control beams. The optical depth also depends on the beam angle. As a consequence the available optical depth can be optimized depending on the needed bandwidth. The predicted recovery efficiency is close to 100% for large optical depth.

Le Goueet, J.-L.; Berman, P. R. [Laboratoire Aime Cotton, CNRS UPR3321, Universite Paris Sud, Batiment 505, Campus Universitaire, 91405 Orsay (France); Department of Physics and Michigan Center for Theoretical Physics, University of Michigan, Ann Arbor, Michigan 48109-1040 (United States)

2009-07-15T23:59:59.000Z

404

Theory of Raman scattering in coupled electron-phonon systems  

Science Journals Connector (OSTI)

The Raman spectrum is calculated for a coupled conduction-electron–phonon system in the zero-momentum-transfer limit. The Raman scattering is due to electron-hole excitations and phonons as well. The phonons of those branches that contribute to the electron self-energy and the correction of the electron-phonon vertex are assumed to have flat energy dispersion (the Einstein phonons). The effect of electron-impurity scattering is also incorporated. Both the electron-phonon interaction and the electron-impurity interaction cause the fluctuation of the electron distribution between different parts of the Fermi surface, which results in overdamped zero-sound modes of various symmetries. The scattering cross section is obtained by solving the Bethe-Salpeter equation. The spectrum shows a lower threshold at the smallest Einstein phonon energy when only the electron-phonon interaction is taken into consideration. When impurities are also taken into consideration, the threshold disappears.

K. Itai

1992-01-01T23:59:59.000Z

405

Raman Spectra of Graphite Oxide and Functionalized Graphene Sheets  

Science Journals Connector (OSTI)

Konstantin N. Kudin ,† Bulent Ozbas ,‡ Hannes C. Schniepp ,‡ Robert K. Prud'homme ,‡ Ilhan A. Aksay ,‡ and Roberto Car *† ... 25 Theoretical evaluation of the Raman spectra requires first-, second-, and third-order energy derivatives, among which the most demanding are the second-order derivatives of the energy with respect to the atomic positions (force constants)26 and the third-order polarizability derivatives, twice with respect to the electric field (yielding polarizability) and once with respect to the atomic positions (Raman intensity tensors). ... and the described stable structural isomers (obtained by 2-atom transformations), the ?-orbital energy levels, ?-electron populations, bond orders, and delocalization (resonance) energies were obtained in Hueckel and approx.-SCF ...

Konstantin N. Kudin; Bulent Ozbas; Hannes C. Schniepp; Robert K. Prud'homme; Ilhan A. Aksay; Roberto Car

2007-12-22T23:59:59.000Z

406

X-ray Raman scattering study of aligned polyfluorene  

E-Print Network [OSTI]

We present a non-resonant inelastic x-ray scattering study at the carbon K-edge on aligned poly[9,9-bis(2-ethylhexyl)-fluorene-2,7-diyl] and show that the x-ray Raman scattering technique can be used as a practical alternative to x-ray absorption measurements. We demonstrate that this novel method can be applied to studies on aligned $\\pi$-conjugated polymers complementing diffraction and optical studies. Combining the experimental data and a very recently proposed theoretical scheme we demonstrate a unique property of x-ray Raman scattering by performing the symmetry decomposition on the density of unoccupied electronic states into $s$- and $p$-type symmetry contributions.

S. Galambosi; M. Knaapila; J. A. Soininen; K. Nyg\\aard; S. Huotari; F. Galbrecht; U. Scherf; A. P. Monkman; K. Hämäläinen

2006-08-29T23:59:59.000Z

407

Raman/FTIR spectroscopy of oil shale retort gases  

SciTech Connect (OSTI)

A Raman facility was assembled in order to aid in the evaluation of the feasibility of using Raman or FTIR spectroscopy for analyzing gas mixtures of interest in oil shale. Applications considered in oil shale research included both retort monitoring and laboratory kinetic studies. Both techniques gave limits of detection between 10 and 1000 ppM for ten representative pertinent gases. Both techniques are inferior as a general analytical technique for oil shale gas analysis in comparison with mass spectroscopy, which had detection limits between 1 and 50 ppM for the same gases. The conclusion of the feasibility study was to recommend that mass spectroscopic techniques be used for analyzing gases of interest to oil shale.

Richardson, J H; Monaco, S B; Sanborn, R H; Hirschfeld, T B; Taylor, J R

1982-08-01T23:59:59.000Z

408

Multi mode nano scale Raman echo quantum memory  

E-Print Network [OSTI]

Low loss magnetic surface plasmon polariton (SPP) modes characterized by enhanced electrical field component and subwavelength confinement on the dielectric and negative-index metamaterial interface are presented. We demonstrate a possibility of storage and perfect retrieval of the low loss magnetic SPP fields by using a photon echo quantum memory on Raman atomic transition. We describe specific properties of the proposed technique which opens a possibility for efficient nano scale multi-mode quantum memory.

S. A. Moiseev; E. S. Moiseev

2010-01-31T23:59:59.000Z

409

NOTES ON NEUTRON DEPTH PROFILING  

E-Print Network [OSTI]

NOTES ON NEUTRON DEPTH PROFILING by J.K. Shultis Department of Mechanical and Nuclear Engineering College of Engineering Kansas State University Manhattan, Kansas 66506 Dec. 2003 #12;Notes on Neutron Depth Profiling J. Kenneth Shultis December 2003 1 Introduction The purpose of neutron depth profiling

Shultis, J. Kenneth

410

Charge transfer effects in surface?enhanced Raman scatteringa)  

Science Journals Connector (OSTI)

Surface?enhanced Raman scattering(SERS) due to charge?transferinteractions between the adsorbed molecule and the metal surface is analyzed using the semiempirical Wolfsberg–Helmholz method to relate the molecule–surface interactions and the resulting charge?transfer states to the overlap integrals between the metal conduction?band orbitals and an acceptor or donor molecular orbital of the molecule. Calculations for the model system of ethylene adsorbed on silver with charge?transfer excitation of an electron from the metal to the antibonding etylene ? orbital show that charge?transfer Raman enhancements of the order of 10 to 1000 are possible if the charge?transfer band is partially resonant with the exciting radiation. Symmetric vibrations usually will be enhanced substantially more than nonsymmetric ones by this mechanism because the vibrational coupling is primarily Franck–Condon rather than Herzberg–Teller. The presence of overtone and combination bands in charge?transfer?enhanced Raman spectra is also possible.

Frank J. Adrian

1982-01-01T23:59:59.000Z

411

Characterization of polysilicon films by Raman spectroscopy and transmission electron microscopy: A comparative study  

SciTech Connect (OSTI)

Samples of chemically-vapor-deposited micrometer and sub-micrometer-thick films of polysilicon were analyzed by transmission electron microscopy (TEM) in cross-section and by Raman spectroscopy with illumination at their surface. TEM and Raman spectroscopy both find varying amounts of polycrystalline and amorphous silicon in the wafers. Raman spectra obtained using blue, green and red excitation wavelengths to vary the Raman sampling depth are compared with TEM cross-sections of these films. Films showing crystalline columnar structures in their TEM micrographs have Raman spectra with a band near 497 cm{sup {minus}1} in addition to the dominant polycrystalline silicon band (521 cm{sup {minus}1}). The TEM micrographs of these films have numerous faulted regions and fringes indicative of nanometer-scale silicon structures, which are believed to correspond to the 497cm{sup {minus}1} Raman band.

Tallant, D.R.; Headley, T.J.; Medernach, J.W. [Sandia National Labs., Albuquerque, NM (United States); Geyling, F. [SEMATECH, Austin, TX (United States)

1993-11-12T23:59:59.000Z

412

Micro-Raman spectroscopy of fluid inclusions in a hopper crystal in halite  

SciTech Connect (OSTI)

Raman microscopy has been used successfully to analyze for dissolved sulfate in fluid inclusions in naturally occurring halite. Hopper crystals are crystals of halite (NaCl) whose structure is produced by crystal growth at the surface of a brine reservoir. Brine is trapped by defects in the growing crystal faces as microscopic fluid inclusions. In this study the hopper crystal was characterized by obtaining a profile of the sulfate (SO/sub 4//sup 2 -/) concentrations in brine inclusions in the bands formed in the hopper crystal structure. In addition, the same sample contained large areas of clear recrystallized halite in which fluid inclusions are not as abundant as those in hopper crystals but are several orders of magnitude larger (frequently several mm on an edge). These larger inclusions were also analyzed for their sulfate content. The sample for this study came from a thick halite unit in the Salado Formation (Permian age) in the Delaware Basin, southeastern New Mexico. The Waste Isolation Pilot Plant (WIPP) is located at a depth of approximately 2150 feet from the surface.

Higgins, K.L.; Stein, C.L.

1986-01-01T23:59:59.000Z

413

Project Cost Profile Spreadsheet | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template (Combined...

414

Texas Crop Profile: Potatoes  

E-Print Network [OSTI]

175 pounds of nitrogen, 80 pounds of phosphorus, and 80 pounds of potassium. Potassium is generally not needed in the High Plains, although many growers apply it. Texas Crop Profile P O T A T O E S E-19 3-00 Prepared by Kent D. Hall, Rodney L. Holloway..., following drag-off or after potato plants have fully emerged. Controls weeds by disrupting growth process during germination. Does not control established weeds. State Contacts Rodney L. Holloway Extension Specialist 2488 TAMU College Station, Texas 77843...

Hall, Kent D.; Holloway, Rodney L.; Smith, Dudley

2000-04-12T23:59:59.000Z

415

Contactless monitoring of Ge content and B concentration in ultrathin single and double layer Si{sub 1-x}Ge{sub x} epitaxial films using multiwavelength micro-Raman spectroscopy  

SciTech Connect (OSTI)

Non-contact monitoring of Ge content and B concentration in single and double Si{sub 1-x}Ge{sub x} epitaxial layers on Si(100) device wafers was attempted using high-resolution, multiwavelength micro-Raman spectroscopy. The Ge content and B concentration determined by secondary ion mass spectroscopy (SIMS) depth profiling showed very strong correlation with the position and full-width-at-half-maximum of the Si-Si peak from the Si{sub 1-x}Ge{sub x} epitaxial layers as determined by Raman measurements. High resolution X-ray diffraction (HRXRD) characterization was done for all wafers to determine Ge and B sensitivity and form comparisons with Raman and SIMS analysis. The non-destructive, in-line monitoring of Ge content and B concentration of single and double Si{sub 1-x}Ge{sub x} epitaxial layers with thickness ranging from 5 {approx} 120 nm, on small area monitoring pads, was successfully demonstrated by multiwavelength micro-Raman spectroscopy during epitaxial process optimization, material property verification, and quality control applications.

Chang, Chun-Wei; Hong, Min-Hao; Lee, Wei-Fan; Lee, Kuan-Ching; Jang Jian, Shiu-Ko; Chuang, Yen; Fan, Yu-Ta [Taiwan Semiconductor Manufacturing Company, Ltd., 8, Li-Hsin Rd. 6, Hsinchu Science Park, Hsinchu, 300-77, Taiwan (China); Hasuike, Noriyuki; Harima, Hiroshi [Kyoto Institute of Technology, Matsugasaki, Kyoto, 606-8585 (Japan); Ueda, Takeshi; Ishigaki, Toshikazu; Kang, Kitaek; Sik Yoo, Woo [WaferMasters, Inc., 246 East Gish Road, San Jose, California 95112 (United States)

2012-03-15T23:59:59.000Z

416

Development of a time-gated system for Raman spectroscopy of biological samples  

Science Journals Connector (OSTI)

A time gating system has been constructed that is capable of recording high quality Raman spectra of highly fluorescing biological samples while operating below the photodamage...

Knorr, Florian; Smith, Zachary J; Wachsmann-Hogiu, Sebastian

2010-01-01T23:59:59.000Z

417

Characterization of Woody and Herbaceous Biomasses Lignin Composition with 1064 nm Dispersive Multichannel Raman Spectroscopy  

Science Journals Connector (OSTI)

Biomass representing different classes of bioenergy feedstocks, including woody and herbaceous species, was measured with 1064 nm Raman spectroscopy. Pine, oak, poplar, kenaf,...

Lupoi, Jason S; Smith, Emily A

2012-01-01T23:59:59.000Z

418

Looking Inside Catalyst Extrudates with Time-Resolved Surface-Enhanced Raman Spectroscopy (TR-SERS)  

Science Journals Connector (OSTI)

Raman spectroscopy is one of the major characterization methods employed over the last few decades as a nondestructive technique for the study of heterogeneous catalysts and related...

Harvey, Clare E; Petterson, Ingeborg E Iping; Weckhuysen, Bert M; Gooijer, Cees; Ariese, Freek; Mank, Arjan J G

2012-01-01T23:59:59.000Z

419

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

420

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas profile Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0 411,695 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

422

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

423

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

424

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Tennessee profile Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

425

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

426

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

427

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

428

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

429

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

430

EIA - State Nuclear Profiles  

U.S. Energy Information Administration (EIA) Indexed Site

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

431

Approximate Stokes Drift Profiles in Deep Water  

Science Journals Connector (OSTI)

A deep-water approximation of the Stokes drift velocity profile is explored as an alternative to the monochromatic profile. The alternative profile investigated relies on the same two quantities required for the monochromatic profile, namely, the ...

Øyvind Breivik; Peter A. E. M. Janssen; Jean-Raymond Bidlot

2014-09-01T23:59:59.000Z

432

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities http://www.fin.mmu.ac.uk/f18_001b.htm06/07/2004 13:02:41 #12;5 Year Financial Profile - Charts - Income 5 Year Financial Profile Charts Income Back http://www.fin.mmu.ac.uk/f18 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_001d.htm06/07/2004 13:02:52 #12;5 Year

433

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities http://www.fin.mmu.ac.uk/f18_0029.htm06/07/2004 13:01:23 #12;5 Year Financial Profile - Charts - Income 5 Year Financial Profile Charts Income Back http://www.fin.mmu.ac.uk/f18 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_002d.htm06/07/2004 13:01:34 #12;5 Year

434

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities & Reserves http://www.fin.mmu.ac.uk/f18_0067.htm06/07/2004 13 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_006b.htm06/07/2004 13:04:46 #12;5 Year Financial Profile - Charts - Assets 5 Year Financial Profile Charts Assets Back http://www.fin.mmu.ac.uk/f18

435

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities & Reserves http://www.fin.mmu.ac.uk/f18_0079.htm06/07/2004 13 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_007b.htm06/07/2004 13:05:59 #12;5 Year Financial Profile - Charts - Assets 5 Year Financial Profile Charts Assets Back http://www.fin.mmu.ac.uk/f18

436

Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles  

DOE Patents [OSTI]

A widely used scanner device that rotates a single helically shaped wire probe in and out of a particle beam at different beamline positions to give a pair of mutually perpendicular beam profiles is modified by the addition of a second wire probe. As a result, a pair of mutually perpendicular beam profiles is obtained at a first beamline position, and a second pair of mutually perpendicular beam profiles is obtained at a second beamline position. The simple modification not only provides more accurate beam profiles, but also provides a measurement of the beam divergence and quality in a single compact device.

Havener, Charles C [Knoxville, TN; Al-Rejoub, Riad [Oak Ridge, TN

2005-12-26T23:59:59.000Z

437

Testing a Cloud Condensation Nuclei Remote Sensing Method  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

a Cloud Condensation Nuclei a Cloud Condensation Nuclei Remote Sensing Method S. J. Ghan Climate Dynamics Group Pacific Northwest National Laboratory Richland, Washington Introduction Under certain conditions vertical profiles of cloud condensation nuclei (CCN) spectra can be retrieved from ground-based measurements. Surface measurements of the CCN spectrum are scaled by the ratio of the backscatter (or extinction) profile to the surface backscatter (or extinction). The backscatter (or extinction) profile is measured by Raman lidar, and is corrected to dry conditions using the vertical profile of relative humidity (also measured by Raman Lidar) and surface measurements of the dependence of backscatter (or extinction) on relative humidity. This method should be accurate up to

438

Raman Microscopy and Mapping as a Probe for Photodegradation in Surface Relief Gratings Recorded on Layer-by-Layer Films of Congo Red/Polyelectrolyte  

Science Journals Connector (OSTI)

Raman microscopy, mapping, and surface-enhanced Raman scattering techniques have been applied to investigate the degradation of Congo Red (CR) in a surface relief grating (SRG)...

Constantino, C J L; Aroca, R F; He, J -A; Zucolotto, V; Li, L; Oliveira, O N; Kumar, J; Tripathy, S K

2002-01-01T23:59:59.000Z

439

Raman microscopy and x-ray fluorescence analysis of pigments on medieval and Renaissance Italian manuscript cuttings  

Science Journals Connector (OSTI)

...are the predominant elements with small amounts of arsenic and mercury (Fig. 4, top). Medieval...syntheses . J Raman Spectrosc 30 : 355 – 360 . 38 de Faria DLA Venauncio Silva S de Oliveira MT ( 1997 ) Raman microspectroscopy...

Lucia Burgio; Robin J. H. Clark; Richard R. Hark

2010-01-01T23:59:59.000Z

440

Raman scattering and X-ray diffraction study of the thermal decomposition of an ettringite-group crystal  

Science Journals Connector (OSTI)

...?A Raman scattering and X-ray diffraction study of the thermal decomposition of a naturally occurring, ettringite-group crystal is presented. Raman spectra, ... previous studies that reported higher temperatur...

S. K. Deb; M. H. Manghnani; K. Ross; R. A. Livingston…

2003-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Raman spectroscopy of selected arsenates—implications for soil remediation  

Science Journals Connector (OSTI)

The contamination of soils with heavy metals such as As, Cr and Cu is of great importance; the remediation of such soils even more so. Arsenic compounds are prevalent in soils either through leaching of mine tailings, the use of Cu/Cr/As as a wood preservative or through the use of arsenic in cattle dips. The arsenic compounds in soils and leachates can be highly reactive and mobile, resulting in the formation of metal arsenate compounds. Of these compounds, one such set of minerals that can be formed is the vivianite arsenate minerals. Raman spectroscopy has been used to characterise the vivianite arsenates and to identify arsenic contaminants in a soil.

Ray L. Frost; Theo Kloprogge; Matthew L. Weier; Wayde N. Martens; Z. Ding; Howell G.H. Edwards

2003-01-01T23:59:59.000Z

442

Geometrical constraints on plasma couplers for Raman compression  

SciTech Connect (OSTI)

Backward Raman compression in plasma is based on a 3-wave resonant interaction, which includes two counter-propagating laser pulses (pump and seed pulses) and an electron plasma wave (Langmuir wave). The resonant interaction can be ensured in nearly homogeneous plasmas. However, for high-power, large-aperture experiments, the homogeneous region becomes pancake-shaped and would likely be surrounded by thicker regions of inhomogeneous plasma. When these inhomogeneous plasma regions are extensive, significant inverse bremsstrahlung and seed dispersion may impede the compression effect. These deleterious effects may, however, be mitigated by chirping the seed and pump pulses.

Toroker, Z. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States); Malkin, V. M. [Department of Astrophysical Sciences, Princeton University, Princeton, New Jersey 08544 (United States); Balakin, A. A.; Fraiman, G. M. [Institute of Applied Physics RAS, Nizhnii Novgorod 603950 (Russian Federation); Fisch, N. J. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States); Department of Astrophysical Sciences, Princeton University, Princeton, New Jersey 08544 (United States)

2012-08-15T23:59:59.000Z

443

Scholarship Search Profile Personal Information  

E-Print Network [OSTI]

Scholarship Search Profile Personal Information Name: ____________________________________ Address) ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ Work Experience: List most recent job first Employer/Company Name _______________________________________________________________ Reference: Name and telephone _____________________________________________ Employer/Company Name

Mather, Patrick T.

444

Evaluate Greenhouse Gas Emissions Profile  

Broader source: Energy.gov [DOE]

Evaluating a Federal agency's greenhouse gas (GHG) emissions profile means getting a solid understanding of the organization's largest emission categories, largest emission sources, and its potential for improvement.

445

Laser-Scanning Coherent Anti-Stokes Raman Scattering Microscopy and Applications to Cell Biology  

E-Print Network [OSTI]

Laser-Scanning Coherent Anti-Stokes Raman Scattering Microscopy and Applications to Cell Biology Ji 11747-3157 USA ABSTRACT Laser-scanning coherent anti-Stokes Raman scattering (CARS) microscopy with fast., 1990). Duncan et al. constructed the first CARS microscope by use of two dye laser beams

Xie, Xiaoliang Sunney

446

Micro-Raman Spectroscopy of Algae: Composition Analysis and Fluorescence Background Behavior  

E-Print Network [OSTI]

analysis; biodiesel Introduction To date, analysis of algae composition is a multi-staged processARTICLE Micro-Raman Spectroscopy of Algae: Composition Analysis and Fluorescence Background performed using Stokes Raman scattering for compositional analysis of algae. Two algal species, Chlorella

447

Chapter 14 Treatise on Geochemistry Raman and Nuclear Resonant Spectroscopy in Geosciences  

E-Print Network [OSTI]

Chapter 14 Treatise on Geochemistry 1 Raman and Nuclear Resonant Spectroscopy in Geosciences Jung Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA Alexander F. Goncharov Geophysical technical advances in Raman and nuclear resonance spectroscopy (both Mössbauer spectroscopy and nuclear

Lin, Jung-Fu "Afu"

448

Raman studies of corrosion layers formed on archaeological irons in various media  

E-Print Network [OSTI]

147 Raman studies of corrosion layers formed on archaeological irons in various media Ludovic mandana.saheb@cea.fr, f philippe.dillmann@cea.fr Keywords: Raman spectroscopy, iron corrosion, ancient artefact, imaging. Abstract. The description and identification of corrosion products formed

449

10.1098/rsta.2004.1444 Resonant Raman spectroscopy of nanotubes  

E-Print Network [OSTI]

10.1098/rsta.2004.1444 Resonant Raman spectroscopy of nanotubes By Christian Thomsen1 , Stephanie. The experimental situation in carbon nanotubes is reviewed in view of these criteria. The evidence for the D mode for the application of Raman scattering to the characterization of nanotubes are discussed. Keywords: carbon nanotubes

Nabben, Reinhard

450

POLARIZED RAMAN MEASUREMENTS IN ZEOLITE-GROWN SINGLE-WALL CARBON NANOTUBES  

E-Print Network [OSTI]

POLARIZED RAMAN MEASUREMENTS IN ZEOLITE-GROWN SINGLE-WALL CARBON NANOTUBES J. Maultzsch*, P. M, Hardenbergstr. 36, D-10623 Berlin, E-Mail: janina@physik.tu-berlin.de The Raman spectra of carbon nanotubes able to grow carbon nanotubes inside the channels of an AlPO4 zeolite crystal [1]. The directions

Nabben, Reinhard

451

Raman characterization of boron-doped multiwalled carbon nanotubes J. Maultzsch,a)  

E-Print Network [OSTI]

. We interpret this result as an indication that the high-energy mode in carbon nanotubes is defectRaman characterization of boron-doped multiwalled carbon nanotubes J. Maultzsch,a) S. Reich, and C of boron-doped multiwalled carbon nanotubes. The Raman intensities are analyzed as a function

Nabben, Reinhard

452

Raman scattering in carbon nanotubes Technische Universitat Berlin, Hardenbergstrasse 36, 10623 Berlin, Germany  

E-Print Network [OSTI]

in carbon nanotubes is the strong excitation-energy dependent Raman shift of the socalled D-mode, which for instance for metallic nanotubes near the K-point. For a given incident photon energy, there is an incomingRaman scattering in carbon nanotubes C. Thomsen Technische Universit¨at Berlin, Hardenbergstrasse

Nabben, Reinhard

453

Origin of the high-energy Raman modes in single-wall carbon nanotubes  

E-Print Network [OSTI]

Origin of the high-energy Raman modes in single-wall carbon nanotubes J. Maultzsch, C. Thomsen, S nanotubes. Similar to the disorder-induced D mode, the high-energy modes are deter- mined by double of the first-order high-energy Raman modes in carbon nanotubes has been a puzzling question since the first

Nabben, Reinhard

454

Raman spectroscopy on single and multi-walled nanotubes under high pressure  

E-Print Network [OSTI]

dependence of the high-energy Raman modes in single and multi-walled carbon nanotubes was measuredRaman spectroscopy on single and multi-walled nanotubes under high pressure C. Thomsen, S. Reich, H properties of carbon nanotubes have become of scienti c interest since it was recognized that the low atomic

Nabben, Reinhard

455

In situ Raman spectroscopy of lanthanum-strontium-cobaltite thin films  

E-Print Network [OSTI]

Raman spectroscopy is used to probe the structural change of Lanthanum Strontium Cobaltite (La1.xSrxCoO 3 -8) thin films across change in composition (0%-60% strontium) and temperature (30*C-520°C). Raman shift peaks were ...

Breucop, Justin Daniel

2012-01-01T23:59:59.000Z

456

Raman intensity measurements of single-walled carbon nanotube suspensions as a quantitative technique  

E-Print Network [OSTI]

Raman intensity measurements of single-walled carbon nanotube suspensions as a quantitative, Biological and Materials Engineering, Carbon Nanotube Technology Center (CANTEC), University of Oklahoma, 100 the purity of single-walled carbon nanotube (SWCNT) bulk samples based on Raman spectroscopy is reported

Resasco, Daniel

457

RAMAN SPECTROSCOPY OF MACROSCALE FIBERS COMPRISED OF CARBON NANOTUBES OF DIFFERENT  

E-Print Network [OSTI]

RAMAN SPECTROSCOPY OF MACROSCALE FIBERS COMPRISED OF CARBON NANOTUBES OF DIFFERENT LENGTHS UNDER University Carbon nanotube (CNT) fibers are considered an excellent material for high performance engineering) Fibers Raman Spectroscopy of Macroscopic Fibers Spun from Carbon Nanotubes under Tensile Strain D

Mellor-Crummey, John

458

Sulfates on Mars: A systematic Raman spectroscopic study of hydration states of magnesium sulfates  

E-Print Network [OSTI]

Sulfates on Mars: A systematic Raman spectroscopic study of hydration states of magnesium sulfates of magnesium sulfates on the martian surface. In situ identification of the hydration states of magnesium of magnesium sulfate. Characteristic and distinct Raman spectral patterns were observed for each of the 11

459

UV Resonance Raman Characterization of Polycyclic Aromatic Hydrocarbons in Coal Liquid Distillates*  

E-Print Network [OSTI]

UV Resonance Raman Characterization of Polycyclic Aromatic Hydrocarbons in Coal Liquid Distillates samples, such as petroleum and coal, or for man-made samples, such as coal liquids, a major desire- nique for studying coal-liquid samples. 1-4 We demon- strated that the Raman spectra of polycyclic

Asher, Sanford A.

460

Micro-Raman spectroscopy of refractive index microstructures in silicone-based hydrogel  

E-Print Network [OSTI]

Micro-Raman spectroscopy of refractive index microstructures in silicone-based hydrogel polymers 26, 2009 (Doc. ID 102944); published March 3, 2009 Micro-Raman spectroscopy was used to study transparent hydro- gel polymer materials through a high (or medium) nu- merical aperture (NA) objective

Novotny, Lukas

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Demonstration of stimulated Raman scattering in the evanescent field of a tapered nanofiber  

E-Print Network [OSTI]

in the following figure the modal Raman gain for a nanofiber immersed in a mixture of toluene and ethanol ; ethanol is used to reduce the refractive index below the one of silica. Fig. 1: Raman gain experienced by the guided mode versus the nanofiber radius and the fraction volume of toluene in a mixture of toluene-ethanol

Boyer, Edmond

462

Forward Raman compression via photonic band gap in metals or warm dense matter  

SciTech Connect (OSTI)

The group velocity of a light pulse in photonic band gap material could considerably deviate from the speed of light in vacuum. A forward stoke and a pump pulse of different speeds would enable the Raman compression in metals or the warm dense matter. A small window of the parameter regime, where the compression is feasible via the forward Raman scattering, is identified.

Son, S. [18 Caleb Lane, Princeton, New Jersey 08540 (United States); Moon, Sung Joon [Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey 08544 (United States)

2011-08-15T23:59:59.000Z

463

Reconstructing the radial breathing mode resonance Raman spectra for HiPco single-wall carbon nanotubes  

Science Journals Connector (OSTI)

The radial breathing mode (RBM) region of the resonance Raman spectra of HiPco single-wall carbon nanotubes (SWNTs) was investigated as a function of aggregation and presence of environmental contaminants. This was modeled using an energetic deviation term (?E), imparted to the optical transitions [Eii(n,m)] by the change in SWNT physicochemical environment. Three sets of Eii(n,m) values were used to reconstruct these RBM profiles, based on (i) photoluminescence (PL) measurements, (ii) a simple tight-binding (TB) model, and (iii) a set of modified (TB-based) Eii(n,m) values to account for the underestimation of the influence of chiral angle for SWNTs with diameters below 1nm. The simulation revealed that the PL-determined Eii(n,m) set provided a good fit in terms of peak position as opposed to TB-calculated values. Moderate improvement was attained using the third set of Eii(n,m) values, indicative of the importance of both curvature and chirality effects. Providing an accurate set of Eii(n,m) values becomes available, the RBM profile reconstruction methodology discussed herein could greatly enhance our ability to model a range of physicochemical changes to the immediate environment of SWNTs.

Zhengtang Luo; Rongfu Li; Sang Nyon Kim; Fotios Papadimitrakopoulos

2004-12-27T23:59:59.000Z

464

Detection and quantitative analysis of ferrocyanide and ferricyanide: FY 93 Florida State University Raman spectroscopy report  

SciTech Connect (OSTI)

This report provides a summary of work to develop and investigate the feasibility of using Raman spectroscopy with tank waste materials. It contains Raman spectra from organics, such as ethylenediaminetetraacetic acid (EDTA), hydroxyethylenediaminetetraacteic acid (HEDTA), imino diacetic acid (IDA), kerosene, tributyl phosphate (TBP), acetone and butanol, anticipated to be present in tank wastes and spectra from T-107 real and BY-104 simulant materials. The results of investigating Raman for determining moisture content in tank materials are also presented. A description of software algorithms developed to process Raman spectra from a dispersive grating spectrometer system and an in initial design for a data base to support qualitative and quantitative application of remote Raman sensing with tank wastes.

Mann, C.K.; Vickers, T.J. [Florida State Univ., Tallahassee, FL (United States). Dept. of Chemistry

1994-10-11T23:59:59.000Z

465

New C-H Stretching Vibrational Spectral Features in the Raman Spectra of Gaseous and Liquid Ethanol  

E-Print Network [OSTI]

New C-H Stretching Vibrational Spectral Features in the Raman Spectra of Gaseous and Liquid Ethanol Traditionally, the Raman spectrum of ethanol in the C-H vibrational stretching region between 2800 cm-1 and 3100, and the -CH3 antisymmetric stretching. In this report, new Raman spectral features were observed for ethanol

Liu, Shilin

466

The effect of substrates on the Raman spectrum of graphene: Graphene-on-sapphire and graphene-on-glass  

E-Print Network [OSTI]

The effect of substrates on the Raman spectrum of graphene: Graphene- on-sapphire and graphene The authors investigated the influence of substrates on Raman scattering spectrum from graphene. The room-temperature Raman signatures from graphene layers on GaAs, sapphire, and glass substrates were compared with those

467

Pump side scattering in ultrapowerful backward Raman amplifiers A. A. Solodov, V. M. Malkin, and N. J. Fisch  

E-Print Network [OSTI]

Pump side scattering in ultrapowerful backward Raman amplifiers A. A. Solodov, V. M. Malkin, and N of a laser pump by plasma noise might be suppressed by an appropriate detuning of the Raman resonance, even scattering of laser pumps by plasma noise in backward Raman amplifiers. Though its growth rate is smaller

468

Raman scattering induced by carbon vacancies in TiCx  

Science Journals Connector (OSTI)

Carbon vacancies in cubic TiCx induce a first-order Raman spectrum, the three independent components of which have been studied for x=0.97, 0.90, and 0.80. The spectra mimic, approximately, the calculated phonon density of states with some lowering of the upper edge of the gap between the acoustical- and optical-phonon regions and with some filling in of the valleys between prominent peaks for lower values of x. There is a tendency towards saturation of the integrated spectra with increasing vacancy concentration. Expressions are derived for the efficiency of light scattering from a disordered metal crystal. They agree with the corresponding results for transparent crystals when corrected for geometric and propagation effects. Analysis of the data using a Raman sum rule indicates that the mean-square polarizability derivative induced by carbon vacancies on carbon and titanium atoms is about the same; the large magnitudes observed here are evidence for resonant enhancement. The probabilities for clustering of vacancies are discussed, and it is concluded that clustering is so likely, even for x=0.97, that the experimental results cannot be interpreted as characteristic of isolated vacancies.

M. V. Klein, John A. Holy, and W. S. Williams

1978-02-15T23:59:59.000Z

469

Downstream Heat Flux Profile vs. Midplane T Profile in Tokamaks  

SciTech Connect (OSTI)

The relationship between the midplane scrape-off-layer electron temperature profile and the parallel heat flux profile at the divertor in tokamaks is investigated. A model is applied which takes into account anisotropic thermal diffusion, in a rectilinear geometry with constant density. Eigenmode analysis is applied to the simplified problem with constant thermal diffusivities. A self-similar nonlinear solution is found for the more realistic problem with anisotropically temperature-dependent thermal diffusivities. Numerical solutions are developed for both cases, with spatially dependent heat flux emerging from the plasma. For both constant and temperature-dependent thermal diffusivities it is found that, below about one-half of its peak, the heat flux profile shape at the divertor, compared with the midplane temperature profile shape, is robustly described by the simplest two-point model. However the physical processes are not those assumed in the simplest two-point model, nor is the numerical coefficient relating q||div to Tmp ?||mp/L|| as predicted. For realistic parameters the peak in the heat flux, moreover, can be reduced by a factor of two or more from the two-point model scaling which fits the remaining profile. For temperature profiles in the SOL region above the x-point set by marginal stability, the heat flux profile to the divertor can be largely decoupled from the prediction of the two-point model. These results suggest caveats for data interpretation, and possibly favorable outcomes for divertor configurations with extended field lines.

Robert J. Goldston

2009-08-20T23:59:59.000Z

470

Development and Deployment of a Compact Eye-Safe Scanning Differential absorption Lidar (DIAL) for Spatial Mapping of Carbon Dioxide for Monitoring/Verification/Accounting at Geologic Sequestration Sites  

SciTech Connect (OSTI)

A scanning differential absorption lidar (DIAL) instrument for monitoring carbon dioxide has been developed. The laser transmitter uses two tunable discrete mode laser diodes (DMLD) operating in the continuous wave (cw) mode with one locked to the online absorption wavelength and the other operating at the offline wavelength. Two in-line fiber optic switches are used to switch between online and offline operation. After the fiber optic switch, an acousto- optic modulator (AOM) is used to generate a pulse train used to injection seed an erbium doped fiber amplifier (EDFA) to produce eye-safe laser pulses with maximum pulse energies of 66 {micro}J, a pulse repetition frequency of 15 kHz, and an operating wavelength of 1.571 {micro}m. The DIAL receiver uses a 28 cm diameter Schmidt-Cassegrain telescope to collect that backscattered light, which is then monitored using a photo-multiplier tube (PMT) module operating in the photon counting mode. The DIAL instrument has been operated from a laboratory environment on the campus of Montana State University, at the Zero Emission Research Technology (ZERT) field site located in the agricultural research area on the western end of the Montana State University campus, and at the Big Sky Carbon Sequestration Partnership site located in north-central Montana. DIAL data has been collected and profiles have been validated using a co-located Licor LI-820 Gas Analyzer point sensor.

Repasky, Kevin

2014-03-31T23:59:59.000Z

471

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

Charts Income Back http://www.fin.mmu.ac.uk/f18_004b.htm06/07/2004 12:57:08 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_004c.htm06 http://www.fin.mmu.ac.uk/f18_004d.htm06/07/2004 12:57:19 #12;5 Year Financial Profile - Charts - zoom 5

472

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

Charts Income Back http://www.fin.mmu.ac.uk/f18_008b.htm06/07/2004 12:51:21 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_008c.htm06 http://www.fin.mmu.ac.uk/f18_008d.htm06/07/2004 12:51:31 #12;5 Year Financial Profile - Charts - zoom 5

473

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

Charts Income Back http://www.fin.mmu.ac.uk/f18_010b.htm06/07/2004 10:57:23 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_010c.htm06 http://www.fin.mmu.ac.uk/f18_010d.htm06/07/2004 12:40:15 #12;5 Year Financial Profile - Charts - zoom 5

474

A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

Gangodagamage, Chandana; Wullschleger, Stan

475

A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska  

SciTech Connect (OSTI)

This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

Gangodagamage, Chandana; Wullschleger, Stan

2014-07-03T23:59:59.000Z

476

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities Income Breakdown Expenditure Breakdown http://www.fin.mmu.ac.uk/f18 Charts Income Back http://www.fin.mmu.ac.uk/f18_005b.htm06/07/2004 13:00:29 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_005c.htm06

477

Method And System For Examining Biological Materials Using Low Power Cw Excitation Raman Spectroscopy.  

DOE Patents [OSTI]

A method and system for examining biological materials using low-power cw excitation Raman spectroscopy. A low-power continuous wave (cw) pump laser beam and a low-power cw Stokes (or anti-Stokes) probe laser beam simultaneously illuminate a biological material and traverse the biological material in collinearity. The pump beam, whose frequency is varied, is used to induce Raman emission from the biological material. The intensity of the probe beam, whose frequency is kept constant, is monitored as it leaves the biological material. When the difference between the pump and probe excitation frequencies is equal to a Raman vibrational mode frequency of the biological material, the weak probe signal becomes amplified by one or more orders of magnitude (typically up to about 10.sup.4 -10.sup.6) due to the Raman emission from the pump beam. In this manner, by monitoring the intensity of the probe beam emitted from the biological material as the pump beam is varied in frequency, one can obtain an excitation Raman spectrum for the biological material tested. The present invention may be applied to in the in vivo and/or in vitro diagnosis of diabetes, heart disease, hepatitis, cancers and other diseases by measuring the characteristic excitation Raman lines of blood glucose, cholesterol, serum glutamic oxalacetic transaminase (SGOT)/serum glutamic pyruvic transaminase (SGPT), tissues and other corresponding Raman-active body constituents, respectively.

Alfano, Robert R. (Bronx, NY); Wang, Wubao (Flushing, NY)

2003-05-06T23:59:59.000Z

478

Operating Regime for a Backward Raman Laser Amplifier in Preformed Plasma  

SciTech Connect (OSTI)

A critical issue in the generation of ultra-intense, ultra-short laser pulses by backward Raman scattering in plasma is the stability of the pumping pulse to premature backscatter from thermal fluctuations in the preformed plasma. Malkin et al. [V.M. Malkin, et al., Phys. Rev. Lett. 84 (6):1208-1211, 2000] demonstrated that density gradients may be used to detune the Raman resonance in such a way that backscatter of the pump from thermal noise can be stabilized while useful Raman amplification persists. Here plasma conditions for which the pump is stable to thermal Raman backscatter in a homogeneous plasma and the density gradients necessary to stabilize the pump for other plasma conditions are quantified. Other ancillary constraints on a Raman amplifier are also considered to determine a specific region in the Te-he plane where Raman amplification is feasible. By determining an operability region, the degree of uncertainty in density or temperature tolerable for an experimental Raman amplifier is thus also identified. The fluid code F3D, which includes the effects of thermal fluctuations, is used to verify these analytic estimates.

Daniel S. Clark; Nathaniel J. Fisch

2003-02-06T23:59:59.000Z

479

Method And System For Examining Biological Materials Using Low Power Cw Excitation Raman Spectroscopy.  

DOE Patents [OSTI]

A method and system for examining biological materials using low-power cw excitation Raman spectroscopy. In accordance with the teachings of the invention, a low-power continuous wave (cw) pump laser beam and a low-power cw Stokes (or anti-Stokes) probe laser beam simultaneously illuminate a biological material and traverse the biological material in collinearity. The pump beam, whose frequency is varied, is used to induce Raman emission from the biological material. The intensity of the probe beam, whose frequency is kept constant, is monitored as it leaves the biological material. When the difference between the pump and probe excitation frequencies is equal to a Raman vibrational mode frequency of the biological material, the weak probe signal becomes amplified by one or more orders of magnitude (typically up to about 10.sup.4 -10.sup.6) due to the Raman emission from the pump beam. In this manner, by monitoring the intensity of the probe beam emitted from the biological material as the pump beam is varied in frequency, one can obtain an excitation Raman spectrum for the biological material tested. The present invention may be applied to in the in vivo and/or in vitro diagnosis of diabetes, heart disease, hepatitis, cancers and other diseases by measuring the characteristic excitation Raman lines of blood glucose, cholesterol, serum glutamic oxalacetic transaminase (SGOT)/serum glutamic pyruvic tansaminase (SGPT), tissues and other corresponding Raman-active body constituents, respectively. For example, it may also be used to diagnose diseases associated with the concentration of Raman-active constituents in urine, lymph and saliva It may be used to identify cancer in the breast, cervix, uterus, ovaries and the like by measuring the fingerprint excitation Raman spectra of these tissues. It may also be used to reveal the growing of tumors or cancers by measuring the levels of nitric oxide in tissue.

Alfano, Robert R. (Bronx, NY); Wang, Wubao (Flushing, NY)

2000-11-21T23:59:59.000Z

480

Real-Time Raman Gas Composition Sensor.pdf  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Sensor Sensor Opportunity Technology/Capability Overview Benefits to Partner Development Status Contact The NETL Real-time Raman Gas Composition Analyzer determines the composition of a flowing gaseous sample in real-time and provides the concentration of each gas in that sample. . . . ‡ Testing partners would have the opportunity to evaluate the performance of the prototype system, implement new feed-forward controls, and may help shape the commercial product configuration ‡ This sensor will greatly benefit the power industry, as well as other industries utilizing gaseous input or output streams by enabling smarter control to increase process efficiency and reduce emissions ‡ We are seeking opportunities to field test the prototype instruments in power and industrial applications, as well

Note: This page contains sample records for the topic "raman lidar profiles" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Q-branch Raman scattering and modern kinetic thoery  

SciTech Connect (OSTI)

The program is an extension of previous APL work whose general aim was to calculate line shapes of nearly resonant isolated line transitions with solutions of a popular quantum kinetic equation-the Waldmann-Snider equation-using well known advanced solution techniques developed for the classical Boltzmann equation. The advanced techniques explored have been a BGK type approximation, which is termed the Generalized Hess Method (GHM), and conversion of the collision operator to a block diagonal matrix of symmetric collision kernels which then can be approximated by discrete ordinate methods. The latter method, which is termed the Collision Kernel method (CC), is capable of the highest accuracy and has been used quite successfully for Q-branch Raman scattering. The GHM method, not quite as accurate, is applicable over a wider range of pressures and has proven quite useful.

Monchick, L. [The Johns Hopkins Univ., Laurel, MD (United States)

1993-12-01T23:59:59.000Z

482

Detection of volatile organic compounds using surface enhanced Raman scattering  

SciTech Connect (OSTI)

The authors present the detection of volatile organic compounds directly in their vapor phase by surface-enhanced Raman scattering (SERS) substrates based on lithographically-defined two-dimensional rectangular array of nanopillars. The type of nanopillars is known as the tapered pillars. For the tapered pillars, SERS enhancement arises from the nanofocusing effect due to the sharp tip on top. SERS experiments were carried out on these substrates using various concentrations of toluene vapor. The results show that SERS signal from a toluene vapor concentration of ppm level can be achieved, and the toluene vapor can be detected within minutes of exposing the SERS substrate to the vapor. A simple adsorption model is developed which gives results matching the experimental data. The results also show promising potential for the use of these substrates in environmental monitoring of gases and vapors.

Chang, A S; Maiti, A; Ileri, N; Bora, M; Larson, C C; Britten, J A; Bond, T C

2012-03-22T23:59:59.000Z

483

The Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured Fluxes and Lidar/Radar Profiles at the  

E-Print Network [OSTI]

to produce too much solid water (ice and snow) and not enough liquid water. 1. Introduction Ice clouds playThe Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured­NCAR Mesoscale Model (MM5) to simulate midlatitude ice clouds is evaluated. Model outputs are compared to long

Protat, Alain

484

Time?resolved anisotropic coherent anti?Stokes Raman scattering: A new probe of reorientational dynamics  

E-Print Network [OSTI]

anti-Stokes Raman scattering (TRA CARS) and spontaneous Raman (TRA Raman) as probes of rota­ tional motion. II. THEORY When a sample system is illuminated by three laser beams at frequencies (Uo, (UI, and (U2, the incident fields induce a third... is described by a nonlinear sus­ ceptibility tensor containing three independent compo­ nents in the L=O subspace and six independent compo­ nents in the L = 2 subspace. First we write the molecular susceptibility MU11(0) iIi terms of the direct product...

Wan, Chaozhi; Johnson, Carey K.

1993-09-01T23:59:59.000Z

485

Surface enhanced Raman scattering of aged graphene: Effects of annealing in vacuum  

SciTech Connect (OSTI)

In this paper, we report a simple method to recover the surface enhanced Raman scattering activity of aged graphene. The Raman signals of Rhodamine molecules absorbed on aged graphene are dramatically increased after vacuum annealing and comparable to those on fresh graphene. Atomic force microscopy measurements indicate that residues on aged graphene surface can efficiently be removed by vacuum annealing, which makes target molecule closely contact with graphene. We also find that the hole doping in graphene will facilitate charge transfer between graphene and molecule. These results confirm the strong Raman enhancement of target molecule absorbed on graphene is due to the charge transfer mechanism.

Wang Yingying; Li Aizhi; Qu Shiliang [Department of Optoelectronic Science, Harbin Institute of Technology at Weihai, Weihai 264209 (China); Ni Zhenhua; Zafar, Zainab; Qiu Teng [Department of Physics, Southeast University, Nanjing 211189 (China); Zhang Yan; Ni Zhonghua [Jiangsu Key Laboratory for Design and Fabrication of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211189 (China); Yu Ting; Shen Zexiang [Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371 (Singapore)

2011-12-05T23:59:59.000Z

486

Continuous-wave solid-state two-Stokes Raman laser  

SciTech Connect (OSTI)

We report an experimental study of the first cw solid-state Raman laser operating simultaneously at the frequencies of the first and second Stokes components. Simultaneous generation is ensured by a cavity with an enhanced finesse at both Stokes frequencies. The threshold pump powers for the first (3.4 W) and second (3.67 W) Stokes components suggest that the second Stokes generation follows a cascade mechanism. We demonstrate for the first time Raman conversion with intensity stability exceeding the pump radiation stability and show that this approach may find application in Raman spectroscopy. (special issue devoted to the 80th birthday of S.A. Akhmanov)

Grabchikov, A S; Lisinetskii, V A; Orlovich, V A [B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk (Belarus); Schmitt, M; Schluecker, S; Kuestner, B; Kiefer, W [Institut fuer Physikalische Chemie, Universitat Wuerzburg, Wuerzburg (Germany)

2009-07-31T23:59:59.000Z

487

Third harmonic stimulated Raman backscattering of laser in a magnetized plasma  

SciTech Connect (OSTI)

This article studies the nonlinear Raman shifted third harmonic backscattering of an intense extraordinary laser wave through a homogenous transversely magnetized cold plasma. Due to the relativistic nonlinearity, the plasma dynamic is modified in the presence of transversely magnetic field, and this can generate the third harmonic scattered wave and an electrostatic upper hybrid wave via the Raman scattering process. Using the nonlinear wave equation, the mechanism of nonlinear third harmonic Raman scattering is discussed in detail to obtain the maximum growth rate of instability in the mildly relativistic regime. The growth rate decreases as the static magnetic field increases. It also increases with the pump wave amplitude.

Paknezhad, Alireza [Physics Department, Shabestar Branch, Islamic Azad University, Shabestar (Iran, Islamic Republic of)] [Physics Department, Shabestar Branch, Islamic Azad University, Shabestar (Iran, Islamic Republic of); Dorranian, Davoud [Laser Lab., Plasma Physics Research Center, Science and Research Branch, Islamic Azad University, Tehran (Iran, Islamic Republic of)] [Laser Lab., Plasma Physics Research Center, Science and Research Branch, Islamic Azad University, Tehran (Iran, Islamic Republic of)

2013-09-15T23:59:59.000Z

488

SPEAK UP, EPPING! COMMUNITY PROFILE  

E-Print Network [OSTI]

SPEAK UP, EPPING! COMMUNITY PROFILE REPORT Epping, New Hampshire April 14, 2007 #12;TABLE ............................................................................................. 21 6. Community Services, Facilities and Utilities........................................................................................................................... 38 1. Natural Resources & Environment 2. Communication 3. Infrastructure & Public Safety 4

New Hampshire, University of

489

Profile of Alec J. Jeffreys  

Science Journals Connector (OSTI)

Profile of Alec J. Jeffreys 10.1073/pnas.0603953103 Nick Zagorski As one of the great contributors to modern genetics...the forensic sciences. That achievement alone is worthy of merit, contributing to Jeffreys' receiving three high distinctions...

Nick Zagorski

2006-01-01T23:59:59.000Z

490

Neuropsychological Profile of Stuttering Children  

Science Journals Connector (OSTI)

The purpose of this study was to analyze the cognitive profile of stuttering children. A sample of 290 children was ... classified as stutterers. In general, performance in stuttering children was similar to the ...

Alfredo Ardila; Mónica Rosselli…

2000-06-01T23:59:59.000Z

491

Energy Consumption Profile for Energy  

E-Print Network [OSTI]

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

492

Vibration of Tethered Microstructure Profilers  

Science Journals Connector (OSTI)

Although loosely tethered turbulence profilers have many advantages, they are prone to resonant vibrations at frequencies in the dissipation range when they are falling rapidly or when the tether is strummed. Using the Advanced Microstructure ...

Jack B. Miller; M. C. Gregg; Vernon W. Miller; Gordon L. Welsh

1989-12-01T23:59:59.000Z

493

JOBAID-ACCESSING AND MODIFYING TALENT PROFILE  

Broader source: Energy.gov [DOE]

The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile...

494

Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 77  

E-Print Network [OSTI]

77 MARINE CODE FOR MODELLING RANGE RESOLVED OCEANOGRAPHIC LIDAR FLUOROSENSOR MEASUREMENTS R. Barbini1 environment. The laser radiation interaction processes of diffusion, re-emission, refraction and absorption in the frame of the Italian Research Pro- gram for Antarctica (PNRA), has been designed to remotely detect

Oldenburg, Carl von Ossietzky Universität

495

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave radiometer data are systematically compared to models to quantify and  

E-Print Network [OSTI]

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave a systematic evaluation of clouds in forecast models. Clouds and their associated microphysical processes for end users of weather forecasts, who may be interested not only in cloud cover, but in other variables

Hogan, Robin

496

Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data  

E-Print Network [OSTI]

Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data ERWIN L. A. WOLTERS, ROBERT A. ROEBELING, AND ARNOUT J. FEIJT Royal Netherlands 2007) ABSTRACT Three cloud-phase determination algorithms from passive satellite imagers are explored

Stoffelen, Ad

497

A Critical Review of the Database Acquired for the Long-Term Surveillance of the Middle Atmosphere by the French Rayleigh Lidars  

Science Journals Connector (OSTI)

The database obtained by Rayleigh lidars over the south of France is now used for monitoring the middle-atmosphere structure and to validate satellite data. For these reasons it is crucial to ensure the quality of the data. The purpose of this ...

P. Keckhut; A. Hauchecorne; M. L. Chanin

1993-12-01T23:59:59.000Z

498

A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data  

E-Print Network [OSTI]

decisions affecting these disappearing systems. SPOT-5 imagery from 2005 was combined with Light Detection and Ranging (LiDAR) data from 2006 and several ancillary datasets to map a portion of the bottomland hardwood system found in the Sulphur River Basin...

Vernon, Zachary Isaac

2009-05-15T23:59:59.000Z

499

Features of point clouds synthesized from multi-view ALOS/PRISM data and comparisons with LiDAR data in forested areas  

Science Journals Connector (OSTI)

Abstract LiDAR waveform data from airborne LiDAR scanners (ALS) e.g. the Land Vegetation and Ice Sensor (LVIS) have been successfully used for estimation of forest height and biomass at local scales and have become the preferred remote sensing dataset. However, regional and global applications are limited by the cost of the airborne LiDAR data acquisition and there are no available spaceborne LiDAR systems. Some researchers have demonstrated the potential for mapping forest height using aerial or spaceborne stereo imagery with very high spatial resolutions. For stereo images with global coverage but coarse resolution new analysis methods need to be used. Unlike most research based on digital surface models, this study concentrated on analyzing the features of point cloud data generated from stereo imagery. The synthesizing of point cloud data from multi-view stereo imagery increased the point density of the data. The point cloud data over forested areas were analyzed and compared to small footprint LiDAR data and large-footprint LiDAR waveform data. The results showed that the synthesized point cloud data from ALOS/PRISM triplets produce vertical distributions similar to LiDAR data and detected the vertical structure of sparse and non-closed forests at 30 m resolution. For dense forest canopies, the canopy could be captured but the ground surface could not be seen, so surface elevations from other sources would be needed to calculate the height of the canopy. A canopy height map with 30 m pixels was produced by subtracting national elevation dataset (NED) from the averaged elevation of synthesized point clouds, which exhibited spatial features of roads, forest edges and patches. The linear regression showed that the canopy height map had a good correlation with RH50 of LVIS data with a slope of 1.04 and R2 of 0.74 indicating that the canopy height derived from PRISM triplets can be used to estimate forest biomass at 30 m resolution.

Wenjian Ni; Kenneth Jon Ranson; Zhiyu Zhang; Guoqing Sun

2014-01-01T23:59:59.000Z

500

LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011  

SciTech Connect (OSTI)

This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feed-forward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

Dunne, F.; Simley, E.; Pao, L.Y.

2011-10-01T23:59:59.000Z