National Library of Energy BETA

Sample records for determined endogenously based

  1. Endogenous Assessment

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

    Endogenous Assessment of the Capacity Value of Solar PV in Generation Investment Planning Studies Francisco D. Munoz, Member, IEEE, and Andrew D. Mills Abstract-There exist several different reliability- and approximation-based methods to determine the contribution of solar resources towards resource adequacy. However, most of these approaches require knowing in advance the installed capacities of both conventional and solar generators. This is a complication since generator capacities are

  2. Radiosensitizing Effects of Ectopic miR-101 on Non-Small-Cell Lung Cancer Cells Depend on the Endogenous miR-101 Level

    SciTech Connect (OSTI)

    Chen, Susie; Wang Hongyan; Ng, Wooi Loon; Curran, Walter J.; Wang Ya

    2011-12-01

    Purpose: Previously, we showed that ectopic miR-101 could sensitize human tumor cells to radiation by targeting ATM and DNA-PK catalytic subunit (DNA-PKcs) to inhibit DNA repair, as the endogenous miR-101 levels are low in tumors in general. However, the heterogeneity of human cancers may result in an exception. The purpose of this study was to test the hypothesis that a few tumor cell lines with a high level of endogenous miR-101 would prove less response to ectopic miR-101. Methods and Materials: Fourteeen non-small-cell lung cancer (NSCLC) cell lines and one immortalized non-malignant lung epithelial cell line (NL20) were used for comparing endogenous miR-101 levels by real-time reverse transcription-polymerase chain reaction. Based on the different miR-101 levels, four cell lines with different miR-101 levels were chosen for transfection with a green fluorescent protein-lentiviral plasmid encoding miR-101. The target protein levels were measured by using Western blotting. The radiosensitizing effects of ectopic miR-101 on these NSCLC cell lines were determined by a clonogenic assay and xenograft mouse model. Results: The endogenous miR-101 level was similar or lower in 13 NSCLC cell lines but was 11-fold higher in one cell line (H157) than in NL20 cells. Although ectopic miR-101 efficiently decreased the ATM and DNA-PKcs levels and increased the radiosensitization level in H1299, H1975, and A549 cells, it did not change the levels of the miR-101 targets or radiosensitivity in H157 cells. Similar results were observed in xenograft mice. Conclusions: A small number of NSCLC cell lines could have a high level of endogenous miR-101. The ectopic miR-101 was able to radiosensitize most NSCLC cells, except for the NSCLC cell lines that had a much higher endogenous miR-101 level. These results suggest that when we choose one miRNA as a therapeutic tool, the endogenous level of the miRNA in each tumor should be considered.

  3. Determination

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

    Determinants of Household Use of Selected Energy Star Appliances May 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Determinants of Household Use of Selected Energy Star Appliances i 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

  4. Autonomous Sub-Pixel Satellite Track Endpoint Determination for Space Based Images

    SciTech Connect (OSTI)

    Simms, L M

    2011-03-07

    An algorithm for determining satellite track endpoints with sub-pixel resolution in spaced-based images is presented. The algorithm allows for significant curvature in the imaged track due to rotation of the spacecraft capturing the image. The motivation behind the subpixel endpoint determination is first presented, followed by a description of the methodology used. Results from running the algorithm on real ground-based and simulated spaced-based images are shown to highlight its effectiveness.

  5. Apparatus and method for determining microscale interactions based on compressive sensors such as crystal structures

    DOE Patents [OSTI]

    McAdams, Harley; AlQuraishi, Mohammed

    2015-04-21

    Techniques for determining values for a metric of microscale interactions include determining a mesoscale metric for a plurality of mesoscale interaction types, wherein a value of the mesoscale metric for each mesoscale interaction type is based on a corresponding function of values of the microscale metric for the plurality of the microscale interaction types. A plurality of observations that indicate the values of the mesoscale metric are determined for the plurality of mesoscale interaction types. Values of the microscale metric are determined for the plurality of microscale interaction types based on the plurality of observations and the corresponding functions and compressed sensing.

  6. Endogenous DNA Damage and Risk of Testicular Germ Cell Tumors

    SciTech Connect (OSTI)

    Cook, M B; Sigurdson, A J; Jones, I M; Thomas, C B; Graubard, B I; Korde, L; Greene, M H; McGlynn, K A

    2008-01-18

    Testicular germ cell tumors (TGCT) are comprised of two histologic groups, seminomas and nonseminomas. We postulated that the possible divergent pathogeneses of these histologies may be partially explained by variable endogenous DNA damage. To assess our hypothesis, we conducted a case-case analysis of seminomas and nonseminomas using the alkaline comet assay to quantify single-strand DNA breaks and alkali-labile sites. The Familial Testicular Cancer study and the U.S. Radiologic Technologists cohort provided 112 TGCT cases (51 seminomas & 61 nonseminomas). A lymphoblastoid cell line was cultured for each patient and the alkaline comet assay was used to determine four parameters: tail DNA, tail length, comet distributed moment (CDM) and Olive tail moment (OTM). Odds ratios (OR) and 95% confidence intervals (95%CI) were estimated using logistic regression. Values for tail length, tail DNA, CDM and OTM were modeled as categorical variables using the 50th and 75th percentiles of the seminoma group. Tail DNA was significantly associated with nonseminoma compared to seminoma (OR{sub 50th percentile} = 3.31, 95%CI: 1.00, 10.98; OR{sub 75th percentile} = 3.71, 95%CI: 1.04, 13.20; p for trend=0.039). OTM exhibited similar, albeit statistically non-significant, risk estimates (OR{sub 50th percentile} = 2.27, 95%CI: 0.75, 6.87; OR{sub 75th percentile} = 2.40, 95%CI: 0.75, 7.71; p for trend=0.12) whereas tail length and CDM showed no association. In conclusion, the results for tail DNA and OTM indicate that endogenous DNA damage levels are higher in patients who develop nonseminoma compared with seminoma. This may partly explain the more aggressive biology and younger age-of-onset of this histologic subgroup compared with the relatively less aggressive, later-onset seminoma.

  7. Method for improve x-ray diffraction determinations of residual stress in nickel-base alloys

    DOE Patents [OSTI]

    Berman, Robert M.; Cohen, Isadore

    1990-01-01

    A process for improving the technique of measuring residual stress by x-ray diffraction in pieces of nickel-base alloys which comprises covering part of a predetermined area of the surface of a nickel-base alloy with a dispersion, exposing the covered and uncovered portions of the surface of the alloy to x-rays by way of an x-ray diffractometry apparatus, making x-ray diffraction determinations of the exposed surface, and measuring the residual stress in the alloy based on these determinations. The dispersion is opaque to x-rays and serves a dual purpose since it masks off unsatisfactory signals such that only a small portion of the surface is measured, and it supplies an internal standard by providing diffractogram peaks comparable to the peaks of the nickel alloy so that the alloy peaks can be very accurately located regardless of any sources of error external to the sample.

  8. Method for improving x-ray diffraction determinations of residual stress in nickel-base alloys

    DOE Patents [OSTI]

    Berman, R.M.; Cohen, I.

    1988-04-26

    A process for improving the technique of measuring residual stress by x-ray diffraction in pieces of nickel-base alloys is discussed. Part of a predetermined area of the surface of a nickel-base alloy is covered with a dispersion. This exposes the covered and uncovered portions of the surface of the alloy to x-rays by way of an x-ray diffractometry apparatus, making x-ray diffraction determinations of the exposed surface, and measuring the residual stress in the alloy based on these determinations. The dispersion is opaque to x-rays and serves a dual purpose, since it masks off unsatisfactory signals such that only a small portion of the surface is measured, and it supplies an internal standard by providing diffractogram peaks comparable to the peaks of the nickel alloy so that the alloy peaks can be very accurately located regardless of any sources of error external to the sample. 2 figs.

  9. Enzyme-based electrochemical biosensors for determination of organophosphorus and carbamate pesticides

    SciTech Connect (OSTI)

    Everett, W.R.; Rechnitz, G.A.

    1999-01-01

    A mini review of enzyme-based electrochemical biosensors for inhibition analysis of organophosphorus and carbamate pesticides is presented. Discussion includes the most recent literature to present advances in detection limits, selectivity and real sample analysis. Recent reviews on the monitoring of pesticides and their residues suggest that the classical analytical techniques of gas and liquid chromatography are the most widely used methods of detection. These techniques, although very accurate in their determinations, can be quite time consuming and expensive and usually require extensive sample clean up and pro-concentration. For these and many other reasons, the classical techniques are very difficult to adapt for field use. Numerous researchers, in the past decade, have developed and made improvements on biosensors for use in pesticide analysis. This mini review will focus on recent advances made in enzyme-based electrochemical biosensors for the determinations of organophosphorus and carbamate pesticides.

  10. Microarray-based whole-genome hybridization as a tool for determining procaryotic species relatedness

    SciTech Connect (OSTI)

    Wu, L.; Liu, X.; Fields, M.W.; Thompson, D.K.; Bagwell, C.E.; Tiedje, J. M.; Hazen, T.C.; Zhou, J.

    2008-01-15

    The definition and delineation of microbial species are of great importance and challenge due to the extent of evolution and diversity. Whole-genome DNA-DNA hybridization is the cornerstone for defining procaryotic species relatedness, but obtaining pairwise DNA-DNA reassociation values for a comprehensive phylogenetic analysis of procaryotes is tedious and time consuming. A previously described microarray format containing whole-genomic DNA (the community genome array or CGA) was rigorously evaluated as a high-throughput alternative to the traditional DNA-DNA reassociation approach for delineating procaryotic species relationships. DNA similarities for multiple bacterial strains obtained with the CGA-based hybridization were comparable to those obtained with various traditional whole-genome hybridization methods (r=0.87, P<0.01). Significant linear relationships were also observed between the CGA-based genome similarities and those derived from small subunit (SSU) rRNA gene sequences (r=0.79, P<0.0001), gyrB sequences (r=0.95, P<0.0001) or REP- and BOX-PCR fingerprinting profiles (r=0.82, P<0.0001). The CGA hybridization-revealed species relationships in several representative genera, including Pseudomonas, Azoarcus and Shewanella, were largely congruent with previous classifications based on various conventional whole-genome DNA-DNA reassociation, SSU rRNA and/or gyrB analyses. These results suggest that CGA-based DNA-DNA hybridization could serve as a powerful, high-throughput format for determining species relatedness among microorganisms.

  11. A fluorescence-based method for rapid and direct determination of polybrominated diphenyl ethers in water

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Shan, Huimei; Liu, Chongxuan; Wang, Zheming; Ma, Teng; Shang, Jianying; Pan, Duoqiang

    2015-01-01

    A new method was developed for rapid and direct measurement of polybrominated diphenyl ethers (PBDEs) in aqueous samples using fluorescence spectroscopy. The fluorescence spectra of tri- to deca-BDE (BDE 28, 47, 99, 153, 190, and 209) commonly found in environment were measured at variable emission and excitation wavelengths. The results revealed that the PBDEs have distinct fluorescence spectral profiles and peak positions that can be exploited to identify these species and determine their concentrations in aqueous solutions. The detection limits as determined in deionized water spiked with PBDEs are 1.71-5.82 ng/L for BDE 28, BDE 47, BDE 190, and BDEmore » 209 and 45.55–69.95 ng/L for BDE 99 and BDE 153. The effects of environmental variables including pH, humic substance, and groundwater chemical composition on PBDEs measurements were also investigated. These environmental variables affected fluorescence intensity, but their effect can be corrected through linear additivity and separation of spectral signal contribution. Compared with conventional GC-based analytical methods, the fluorescence spectroscopy method is more efficient as it only uses a small amount of samples (2-4 mL), avoids lengthy complicated concentration and extraction steps, and has a low detection limit of a few ng/L.« less

  12. A fluorescence-based method for rapid and direct determination of polybrominated diphenyl ethers in water

    SciTech Connect (OSTI)

    Shan, Huimei; Liu, Chongxuan; Wang, Zheming; Ma, Teng; Shang, Jianying; Pan, Duoqiang

    2015-01-01

    A new method was developed for rapid and direct measurement of polybrominated diphenyl ethers (PBDEs) in aqueous samples using fluorescence spectroscopy. The fluorescence spectra of tri- to deca-BDE (BDE 28, 47, 99, 153, 190, and 209) commonly found in environment were measured at variable emission and excitation wavelengths. The results revealed that the PBDEs have distinct fluorescence spectral profiles and peak positions that can be exploited to identify these species and determine their concentrations in aqueous solutions. The detection limits as determined in deionized water spiked with PBDEs are 1.71-5.82 ng/L for BDE 28, BDE 47, BDE 190, and BDE 209 and 45.5569.95 ng/L for BDE 99 and BDE 153. The effects of environmental variables including pH, humic substance, and groundwater chemical composition on PBDEs measurements were also investigated. These environmental variables affected fluorescence intensity, but their effect can be corrected through linear additivity and separation of spectral signal contribution. Compared with conventional GC-based analytical methods, the fluorescence spectroscopy method is more efficient as it only uses a small amount of samples (2-4 mL), avoids lengthy complicated concentration and extraction steps, and has a low detection limit of a few ng/L.

  13. Determination of microgram amounts of selenium and tellurium in copper-base alloys by atomic absorption spectrometry

    SciTech Connect (OSTI)

    Bedrossian, M.

    1984-02-01

    Trace amounts of selenium and tellurium in copper-base alloys are determined by atomic absorption spectroscopy. The alloys are dissolved in nitric acid to yield selenious and tellurous acids which are readily reduced to elemental form. Iodide complexes of both selenium and tellurium are extracted simultaneously using a solution of trioctylphosphine oxide and methyl isobutyl ketone. Selenium and tellurium are determined by flame atomic absorption with a sensitivity of 0.0002%. 6 references, 2 tables.

  14. Determination of High-Frequency Current Distribution Using EMTP-Based Transmission Line Models with Resulting Radiated Electromagnetic Fields

    SciTech Connect (OSTI)

    Mork, B; Nelson, R; Kirkendall, B; Stenvig, N

    2009-11-30

    Application of BPL technologies to existing overhead high-voltage power lines would benefit greatly from improved simulation tools capable of predicting performance - such as the electromagnetic fields radiated from such lines. Existing EMTP-based frequency-dependent line models are attractive since their parameters are derived from physical design dimensions which are easily obtained. However, to calculate the radiated electromagnetic fields, detailed current distributions need to be determined. This paper presents a method of using EMTP line models to determine the current distribution on the lines, as well as a technique for using these current distributions to determine the radiated electromagnetic fields.

  15. Poynting-vector based method for determining the bearing and location of electromagnetic sources

    DOE Patents [OSTI]

    Simons, David J.; Carrigan, Charles R.; Harben, Philip E.; Kirkendall, Barry A.; Schultz, Craig A.

    2008-10-21

    A method and apparatus is utilized to determine the bearing and/or location of sources, such as, alternating current (A.C.) generators and loads, power lines, transformers and/or radio-frequency (RF) transmitters, emitting electromagnetic-wave energy for which a Poynting-Vector can be defined. When both a source and field sensors (electric and magnetic) are static, a bearing to the electromagnetic source can be obtained. If a single set of electric (E) and magnetic (B) sensors are in motion, multiple measurements permit location of the source. The method can be extended to networks of sensors allowing determination of the location of both stationary and moving sources.

  16. Analyzing task-based user study data to determine colormap efficiency

    SciTech Connect (OSTI)

    Ashton, Zoe Charon Maria; Wendelberger, Joanne Roth; Ticknor, Lawrence O.; Turton, Terece; Samsel, Francesca

    2015-07-23

    Domain scientists need colormaps to visualize their data and are especially useful for identifying areas of interest, like in ocean data to identify eddies or characterize currents. However, traditional Rainbow colormap performs poorly for understanding details, because of the small perceptual range. In order to assist domain scientists in recognizing and identifying important details in their data, different colormaps need to be applied to allow higher perceptual definition. Visual artist Francesca Samsel used her understanding of color theory to create new colormaps to improve perception. While domain scientists find the new colormaps to be useful, we implemented a rigorous and quantitative study to determine whether or not the new colormaps have perceptually more colors. Color count data from one of these studies will be analyzed in depth in order to determine whether or not the new colormaps have more perceivable colors and what affects the number of perceivable colors.

  17. Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration

    SciTech Connect (OSTI)

    Yue, Meng; Wang, Xiaoyu

    2015-07-01

    It is well-known that responsive battery energy storage systems (BESSs) are an effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making process regarding (1) the acceptable level of solar penetration in a given system and (2) the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.

  18. Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Yue, Meng; Wang, Xiaoyu

    2015-07-01

    It is well-known that responsive battery energy storage systems (BESSs) are an effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making processmore » regarding (1) the acceptable level of solar penetration in a given system and (2) the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.« less

  19. Determining perception-based impacts of noxious facilities on wage rates and property values

    SciTech Connect (OSTI)

    Nieves, L.A.; Clark, D.E.

    1992-02-01

    This document, written for the US Department of Energy, discusses current information and the need for future research on estimating the impacts on wages and property values that could result from people's perceptions of the risks associated with noxious facilities. Psychometric studies indicate that the US population is averse to living near noxious facilities, nuclear-related facilities in particular. Contingent valuation and hedonic studies find that the net economic impacts of proximity to noxious facilities are generally negative and often substantial. Most of these studies are limited in scope, and none estimate the impacts derived from public perceptions of such facilities. This study examines the mechanisms by which negative public perceptions result in economic impacts reflected in wages and property values. On the basis of these mechanisms, it develops a predictive model of perception-based impacts and identifies the data and methods needed to implement it. The key to predicting perception-based impacts lies in combining psychometric and hedonic methods. The reliability of psychometric measures as indicators of aversive stimuli that precipitate economic impacts can be empirically tested. To test the robustness of the findings, alternative estimation methods an be employed in the hedonic analysis. Contingent valuation methods can confirm the results.

  20. Determining perception-based impacts of noxious facilities on wage rates and property values

    SciTech Connect (OSTI)

    Nieves, L.A.; Clark, D.E.

    1992-02-01

    This document, written for the US Department of Energy, discusses current information and the need for future research on estimating the impacts on wages and property values that could result from people`s perceptions of the risks associated with noxious facilities. Psychometric studies indicate that the US population is averse to living near noxious facilities, nuclear-related facilities in particular. Contingent valuation and hedonic studies find that the net economic impacts of proximity to noxious facilities are generally negative and often substantial. Most of these studies are limited in scope, and none estimate the impacts derived from public perceptions of such facilities. This study examines the mechanisms by which negative public perceptions result in economic impacts reflected in wages and property values. On the basis of these mechanisms, it develops a predictive model of perception-based impacts and identifies the data and methods needed to implement it. The key to predicting perception-based impacts lies in combining psychometric and hedonic methods. The reliability of psychometric measures as indicators of aversive stimuli that precipitate economic impacts can be empirically tested. To test the robustness of the findings, alternative estimation methods an be employed in the hedonic analysis. Contingent valuation methods can confirm the results.

  1. Post-processing of seismic parameter data based on valid seismic event determination

    DOE Patents [OSTI]

    McEvilly, Thomas V.

    1985-01-01

    An automated seismic processing system and method are disclosed, including an array of CMOS microprocessors for unattended battery-powered processing of a multi-station network. According to a characterizing feature of the invention, each channel of the network is independently operable to automatically detect, measure times and amplitudes, and compute and fit Fast Fourier transforms (FFT's) for both P- and S- waves on analog seismic data after it has been sampled at a given rate. The measured parameter data from each channel are then reviewed for event validity by a central controlling microprocessor and if determined by preset criteria to constitute a valid event, the parameter data are passed to an analysis computer for calculation of hypocenter location, running b-values, source parameters, event count, P- wave polarities, moment-tensor inversion, and Vp/Vs ratios. The in-field real-time analysis of data maximizes the efficiency of microearthquake surveys allowing flexibility in experimental procedures, with a minimum of traditional labor-intensive postprocessing. A unique consequence of the system is that none of the original data (i.e., the sensor analog output signals) are necessarily saved after computation, but rather, the numerical parameters generated by the automatic analysis are the sole output of the automated seismic processor.

  2. Base line for determining local, small-scale vertical movements in Louisiana

    SciTech Connect (OSTI)

    Trahan, D.B.

    1983-01-01

    Subsidence in Louisiana is a result of many factors ranging from local, man-induced to regional, large-scale processes. The measurement of local, man-induced subsidence is especially critical in areas with high rates of land loss. In order to measure local vertical movement, absolute historical geodetic movements have been estimated by adjusting all movements along the first-order vertical control network from northeast to southwest Louisiana as related to the Monroe Uplift. The adjustment will serve as a base line by which local subsidence or uplift can be measured. A generalized trend of increasing subsidence to the south in Louisiana is probably a reflection of increasing sediment thickness and weight toward the AXIS of the Gulf Coast Basin. Anomalous values as low as -17.6 mm/y occur superjacent to the position of Pleistocene and Holocene fluvial elements. Positive movement, up to +4.1 mm/y, has been found associated with the Iberian structural axis in south-central Louisiana. Land subsidence due to natural causes may far outweigh subsidence resulting from fluid withdrawal or depressurization of geopressured aquifers. The effects of regional and local natural processes should not be underestimated in any systematic approach to measuring subsidence. 13 references, 7 figures.

  3. Experimental determination of band offsets of NiO-based thin film heterojunctions

    SciTech Connect (OSTI)

    Kawade, Daisuke; Sugiyama, Mutsumi, E-mail: mutsumi@rs.noda.tus.ac.jp [Faculty of Science and Technology/Research Institute for Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510 (Japan); Chichibu, Shigefusa F. [Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, 2-1-1 Katahira, Aoba, Sendai 9808577 (Japan)

    2014-10-28

    The energy band diagrams of NiO-based solar cell structures that use various n-type oxide semiconductors such as ZnO, Mg{sub 0.3}Zn{sub 0.7}O, Zn{sub 0.5}Sn{sub 0.5}O, In{sub 2}O{sub 3}:Sn (ITO), SnO{sub 2}, and TiO{sub 2} were evaluated by photoelectron yield spectroscopy. The valence band discontinuities were estimated to be 1.6?eV for ZnO/NiO and Mg{sub 0.3}Zn{sub 0.7}O/NiO, 1.7?eV for Zn{sub 0.5}Sn{sub 0.5}O/NiO and ITO/NiO, and 1.8?eV for SnO{sub 2}/NiO and TiO{sub 2}/NiO heterojunctions. By using the valence band discontinuity values and corresponding energy bandgaps of the layers, energy band diagrams were developed. Judging from the band diagram, an appropriate solar cell consisting of p-type NiO and n-type ZnO layers was deposited on ITO, and a slight but noticeable photovoltaic effect was obtained with an open circuit voltage (V{sub oc}) of 0.96?V, short circuit current density (J{sub sc}) of 2.2??A/cm{sup 2}, and fill factor of 0.44.

  4. Endogenous field feedback promotes the detectability for exogenous electric signal in the hybrid coupled population

    SciTech Connect (OSTI)

    Wei, Xile; Zhang, Danhong; Wang, Jiang; Yu, Haitao; Lu, Meili; Che, Yanqiu

    2015-01-15

    This paper presents the endogenous electric field in chemical or electrical synaptic coupled networks, aiming to study the role of endogenous field feedback in the signal propagation in neural systems. It shows that the feedback of endogenous fields to network activities can reduce the required energy of the noise and enhance the transmission of input signals in hybrid coupled populations. As a common and important nonsynaptic interactive method among neurons, particularly, the endogenous filed feedback can not only promote the detectability of exogenous weak signal in hybrid coupled neural population but also enhance the robustness of the detectability against noise. Furthermore, with the increasing of field coupling strengths, the endogenous field feedback is conductive to the stochastic resonance by facilitating the transition of cluster activities from the no spiking to spiking regions. Distinct from synaptic coupling, the endogenous field feedback can play a role as internal driving force to boost the population activities, which is similar to the noise. Thus, it can help to transmit exogenous weak signals within the network in the absence of noise drive via the stochastic-like resonance.

  5. The effects of BIG-3 on osteoblast differentiation are not dependent upon endogenously produced BMPs

    SciTech Connect (OSTI)

    Gori, Francesca; Demay, Marie B. . E-mail: demay@helix.mgh.harvard.edu

    2005-03-10

    BMPs play an important role in both intramembranous and endochondral ossification. BIG-3, BMP-2-induced gene 3 kb, encodes a WD-40 repeat protein that accelerates the program of osteoblastic differentiation in vitro. To examine the potential interactions between BIG-3 and the BMP-2 pathway during osteoblastic differentiation, MC3T3-E1 cells stably transfected with BIG-3 (MC3T3E1-BIG-3), or with the empty vector (MC3T3E1-EV), were treated with noggin. Noggin treatment of pooled MC3T3E1-EV clones inhibited the differentiation-dependent increase in AP activity observed in the untreated MC3T3E1-EV clones but did not affect the increase in AP activity in the MC3T3E1-BIG-3 clones. Noggin treatment decreased the expression of Runx2 and type I collagen mRNAs and impaired mineralized matrix formation in MC3T3E1-EV clones but not in MC3T3E1-BIG-3 clones. To determine whether the actions of BIG-3 on osteoblast differentiation converged upon the BMP pathway or involved an alternate signaling pathway, Smad1 phosphorylation was examined. Basal phosphorylation of Smad1 was not altered in the MC3T3E1-BIG-3 clones. However, these clones did not exhibit the noggin-dependent decrease in phosphoSmad1 observed in the MC3T3E1-EV clones, nor did it decrease nuclear localization of phosphoSmad1. These observations suggest that BIG-3 accelerates osteoblast differentiation in MC3T3-E1 cells by inducing phosphorylation and nuclear translocation of Smad1 independently of endogenously produced BMPs.

  6. Determination of solute site occupancies within γ' precipitates in nickel-base superalloys via orientation-specific atom probe tomography

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Meher, Subhashish; Rojhirunsakool, Tanaporn; Nandwana, Peeyush; Tiley, Jamie; Banerjee, Rajarshi

    2015-04-28

    In this study, the analytical limitations in atom probe tomography such as resolving a desired set of atomic planes, for solving complex materials science problems, have been overcome by employing a well-developed unique and reproducible crystallographic technique, involving synergetic coupling of orientation microscopy with atom probe tomography. The crystallographic information in atom probe reconstructions has been utilized to determine the solute site occupancies in Ni-Al-Cr based superalloys accurately. The structural information in atom probe reveals that both Al and Cr occupy the same sub-lattice within the L12-ordered g precipitates to form Ni3(Al,Cr) precipitates in a Ni-14Al-7Cr(at.%) alloy. Interestingly, the additionmore » of Co, which is a solid solution strengthener, to a Ni-14Al-7Cr alloy results in the partial reversal of Al site occupancy within g precipitates to form (Ni,Al)3(Al,Cr,Co) precipitates. This unique evidence of reversal of Al site occupancy, resulting from the introduction of other solutes within the ordered structures, gives insights into the relative energetics of different sub-lattice sites when occupied by different solutes.« less

  7. Detecting bacteria and Determining Their Susceptibility to Antibiotics by Stochastic Confinement in Nanoliter Droplets using Plug-Based Microfluidics

    SciTech Connect (OSTI)

    Boedicker, J.; Li, L; Kline, T; Ismagilov, R

    2008-01-01

    This article describes plug-based microfluidic technology that enables rapid detection and drug susceptibility screening of bacteria in samples, including complex biological matrices, without pre-incubation. Unlike conventional bacterial culture and detection methods, which rely on incubation of a sample to increase the concentration of bacteria to detectable levels, this method confines individual bacteria into droplets nanoliters in volume. When single cells are confined into plugs of small volume such that the loading is less than one bacterium per plug, the detection time is proportional to plug volume. Confinement increases cell density and allows released molecules to accumulate around the cell, eliminating the pre-incubation step and reducing the time required to detect the bacteria. We refer to this approach as stochastic confinement. Using the microfluidic hybrid method, this technology was used to determine the antibiogram - or chart of antibiotic sensitivity - of methicillin-resistant Staphylococcus aureus (MRSA) to many antibiotics in a single experiment and to measure the minimal inhibitory concentration (MIC) of the drug cefoxitin (CFX) against this strain. In addition, this technology was used to distinguish between sensitive and resistant strains of S. aureus in samples of human blood plasma. High-throughput microfluidic techniques combined with single-cell measurements also enable multiple tests to be performed simultaneously on a single sample containing bacteria. This technology may provide a method of rapid and effective patient-specific treatment of bacterial infections and could be extended to a variety of applications that require multiple functional tests of bacterial samples on reduced timescales.

  8. Determination of morphological characteristics of metallic nanoparticles based on modified Maxwell-Garnett fitting of optical responses

    SciTech Connect (OSTI)

    Battie, Y. Resano-Garcia, A.; En Naciri, A.; Akil, S.; Chaoui, N.

    2015-10-05

    A modified effective medium theory (MEMT) is introduced to determine morphological characteristics and the volume fraction of colloidal metallic nanoparticles. By analyzing the optical absorption spectra of gold nanoparticles (NPs), this model is used to determine the distribution of prolate and oblate NPs and to demonstrate the presence of spherical NPs. In addition to interband transition, the model takes into account the longitudinal and transversal surface plasmon resonances. The results predicted by the MEMT theory were found to be in very good agreement with the shape distributions obtained by transmission electron microscopy. We found that fitting optical absorption spectra using MEMT provides a robust tool for measuring the shape and concentration of metallic NPs.

  9. Determination of permissible underground power cable installation -- A calculation method on cable ampacity based on heat generation

    SciTech Connect (OSTI)

    Kuo, C.K.

    1995-09-01

    In a power plant, it is often necessary to install a medium voltage underground cable system to transport the high capacity of auxiliary transformer power output to switchgear lineups. Installation of high current carrying power cable is often limited by the resistive heat generated by the passage of high current. Because heat dissipation in cable routed underground is affected by the soil temperature, soil resistivity, and cable depth, a systematic analysis is necessary to determine the permissible cable ampacity in each cable among the group of cables in any combination of underground cable and duct arrangements. The calculation will determine the medium allowable ampacity in such a system. Depending on the underground cable and duct arrangements, the current carrying capacity of similar cable systems may be different. The impedance of each phase of a cable will be different in a multi-conductor per phase cable system if the cable and duct arrangements are not symmetrical. The calculation will also determine any unbalanced phase impedances and calculate the unbalanced phase currents.

  10. Practical in-situ determination of ortho-para hydrogen ratios via fiber-optic based Raman spectroscopy

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Sutherland, Liese -Marie; Knudson, James N.; Mocko, Michal; Renneke, Richard M.

    2015-12-17

    An experiment was designed and developed to prototype a fiber-optic-based laser system, which measures the ratio of ortho-hydrogen to para-hydrogen in an operating neutron moderator system at the Los Alamos Neutron Science Center (LANSCE) spallation neutron source. Preliminary measurements resulted in an ortho to para ratio of 3.06:1, which is within acceptable agreement with the previously published ratio. As a result, the successful demonstration of Raman Spectroscopy for this measurement is expected to lead to a practical method that can be applied for similar in-situ measurements at operating neutron spallation sources.

  11. Machine vision based particle size and size distribution determination of airborne dust particles of wood and bark pellets

    SciTech Connect (OSTI)

    Igathinathane, C; Pordesimo, L.O.

    2009-08-01

    Dust management strategies in industrial environment, especially of airborne dust, require quantification and measurement of size and size distribution of the particles. Advanced specialized instruments that measure airborne particle size and size distribution apply indirect methods that involve light scattering, acoustic spectroscopy, and laser diffraction. In this research, we propose a simple and direct method of airborne dust particle dimensional measurement and size distribution analysis using machine vision. The method involves development of a user-coded ImageJ plugin that measures particle length and width and analyzes size distribution of particles based on particle length from high-resolution scan images. Test materials were airborne dust from soft pine wood sawdust pellets and ground pine tree bark pellets. Subsamples prepared by dividing the actual dust using 230 mesh (63 m) sieve were analyzed as well. A flatbed document scanner acquired the digital images of the dust particles. Proper sampling, layout of dust particles in singulated arrangement, good contrast smooth background, high resolution images, and accurate algorithm are essential for reliable analysis. A halo effect around grey-scale images ensured correct threshold limits. The measurement algorithm used Feret s diameter for particle length and pixel-march technique for particle width. Particle size distribution was analyzed in a sieveless manner after grouping particles according to their distinct lengths, and several significant dimensions and parameters of particle size distribution were evaluated. Results of the measurement and analysis were presented in textual and graphical formats. The developed plugin was evaluated to have a dimension measurement accuracy in excess of 98.9% and a computer speed of analysis of <8 s/image. Arithmetic mean length of actual wood and bark pellets airborne dust particles were 0.1138 0.0123 and 0.1181 0.0149 mm, respectively. The airborne dust particles of

  12. TU-F-18A-04: Use of An Image-Based Material-Decomposition Algorithm for Multi-Energy CT to Determine Basis Material Densities

    SciTech Connect (OSTI)

    Li, Z; Leng, S; Yu, L; McCollough, C

    2014-06-15

    Purpose: Published methods for image-based material decomposition with multi-energy CT images have required the assumption of volume conservation or accurate knowledge of the x-ray spectra and detector response. The purpose of this work was to develop an image-based material-decomposition algorithm that can overcome these limitations. Methods: An image-based material decomposition algorithm was developed that requires only mass conservation (rather than volume conservation). With this method, using multi-energy CT measurements made with n=4 energy bins, the mass density of each basis material and of the mixture can be determined without knowledge of the tube spectra and detector response. A digital phantom containing 12 samples of mixtures from water, calcium, iron, and iodine was used in the simulation (Siemens DRASIM). The calibration was performed by using pure materials at each energy bin. The accuracy of the technique was evaluated in noise-free and noisy data under the assumption of an ideal photon-counting detector. Results: Basis material densities can be estimated accurately by either theoretic calculation or calibration with known pure materials. The calibration approach requires no prior information about the spectra and detector response. Regression analysis of theoretical values versus estimated values results in excellent agreement for both noise-free and noisy data. For the calibration approach, the R-square values are 0.9960+/−0.0025 and 0.9476+/−0.0363 for noise-free and noisy data, respectively. Conclusion: From multi-energy CT images with n=4 energy bins, the developed image-based material decomposition method accurately estimated 4 basis material density (3 without k-edge and 1 with in the range of the simulated energy bins) even without any prior information about spectra and detector response. This method is applicable to mixtures of solutions and dissolvable materials, where volume conservation assumptions do not apply. CHM receives

  13. Award Fee Determination Summary

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

    2 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, Attachment J.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: FY 2012 Base Period Fee Available Fee allocated to FY 2012* Performance Measures $10,399,033.60 Incremental Fee $4,490,000.00 Provisional Fee

  14. Award Fee Determination Summary

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

    1 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded and American Recovery and Reinvestment Act (Recovery) funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, AttachmentJ.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: Fiscal Year 2011 (Oct 1, 2010 - Sept 30, 2011) Base Funded Fee Recovery Funded Fee Available

  15. Summary of Time Period-Based and Other Approximation Methods for Determining the Capacity Value of Wind and Solar in the United States: September 2010 - February 2012

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2012-03-01

    This paper updates previous work that describes time period-based and other approximation methods for estimating the capacity value of wind power and extends it to include solar power. The paper summarizes various methods presented in utility integrated resource plans, regional transmission organization methodologies, regional stakeholder initiatives, regulatory proceedings, and academic and industry studies. Time period-based approximation methods typically measure the contribution of a wind or solar plant at the time of system peak - sometimes over a period of months or the average of multiple years.

  16. Determination of CT number and density profile of binderless, pre-treated and tannin-based Rhizophora spp. particleboards using computed tomography imaging and electron density phantom

    SciTech Connect (OSTI)

    Yusof, Mohd Fahmi Mohd Hamid, Puteri Nor Khatijah Abdul; Tajuddin, Abdul Aziz; Bauk, Sabar; Hashim, Rokiah

    2015-04-29

    Plug density phantoms were constructed in accordance to CT density phantom model 062M CIRS using binderless, pre-treated and tannin-based Rhizophora Spp. particleboards. The Rhizophora Spp. plug phantoms were scanned along with the CT density phantom using Siemens Somatom Definition AS CT scanner at three CT energies of 80, 120 and 140 kVp. 15 slices of images with 1.0 mm thickness each were taken from the central axis of CT density phantom for CT number and CT density profile analysis. The values were compared to water substitute plug phantom from the CT density phantom. The tannin-based Rhizophora Spp. gave the nearest value of CT number to water substitute at 80 and 120 kVp CT energies with χ{sup 2} value of 0.011 and 0.014 respectively while the binderless Rhizphora Spp. gave the nearest CT number to water substitute at 140 kVp CT energy with χ{sup 2} value of 0.023. The tannin-based Rhizophora Spp. gave the nearest CT density profile to water substitute at all CT energies. This study indicated the suitability of Rhizophora Spp. particleboard as phantom material for the use in CT imaging studies.

  17. The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation

    SciTech Connect (OSTI)

    Baba, Justin S; Koju, Vijay; John, Dwayne O

    2016-01-01

    The modulation of the state of polarization of photons due to scatter generates associated geometric phase that is being investigated as a means for decreasing the degree of uncertainty in back-projecting the paths traversed by photons detected in backscattered geometry. In our previous work, we established that polarimetrically detected Berry phase correlates with the mean photon penetration depth of the backscattered photons collected for image formation. In this work, we report on the impact of state-of-linear-polarization (SOLP) filtering on both the magnitude and population distributions of image forming detected photons as a function of the absorption coefficient of the scattering sample. The results, based on Berry phase tracking implemented Polarized Monte Carlo Code, indicate that sample absorption plays a significant role in the mean depth attained by the image forming backscattered detected photons.

  18. A quantitative method for determination of carrier escape efficiency in GaN-based light-emitting diodes: A comparison of open- and short-circuit photoluminescence

    SciTech Connect (OSTI)

    Lim, Seung-Hyuk; Ko, Young-Ho; Cho, Yong-Hoon

    2014-03-03

    We propose a method to quantitatively analyze the internal quantum efficiency (IQE) as well as the efficiencies of non-radiative recombination in the active region (NRA) and carrier escape out of the active region (ESC) by comparing open-circuit (OC) to short-circuit (SC) conditions of InGaN-based light-emitting diodes (LEDs). First, the IQE was extracted from excitation-power dependent photoluminescence at low temperature, and the electron-hole wavefunction overlaps were calculated under OC and SC conditions. Then, the NRA and ESC efficiencies were quantitatively deduced and also compared with photocurrent data. The proposed method would be useful for assessing and designing quantum barriers and analyzing leakage current in LEDs.

  19. Waste Determination Equivalency - 12172

    SciTech Connect (OSTI)

    Freeman, Rebecca D.

    2012-07-01

    The Savannah River Site (SRS) is a Department of Energy (DOE) facility encompassing approximately 800 square kilometers near Aiken, South Carolina which began operations in the 1950's with the mission to produce nuclear materials. The SRS contains fifty-one tanks (2 stabilized, 49 yet to be closed) distributed between two liquid radioactive waste storage facilities at SRS containing carbon steel underground tanks with storage capacities ranging from 2,800,000 to 4,900,000 liters. Treatment of the liquid waste from these tanks is essential both to closing older tanks and to maintaining space needed to treat the waste that is eventually vitrified or disposed of onsite. Section 3116 of the Ronald W. Reagan National Defense Authorization Act of Fiscal Year 2005 (NDAA) provides the Secretary of Energy, in consultation with the Nuclear Regulatory Commission (NRC), a methodology to determine that certain waste resulting from prior reprocessing of spent nuclear fuel are not high-level radioactive waste if it can be demonstrated that the waste meets the criteria set forth in Section 3116(a) of the NDAA. The Secretary of Energy, in consultation with the NRC, signed a determination in January 2006, pursuant to Section 3116(a) of the NDAA, for salt waste disposal at the SRS Saltstone Disposal Facility. This determination is based, in part, on the Basis for Section 3116 Determination for Salt Waste Disposal at the Savannah River Site and supporting references, a document that describes the planned methods of liquid waste treatment and the resulting waste streams. The document provides descriptions of the proposed methods for processing salt waste, dividing them into 'Interim Salt Processing' and later processing through the Salt Waste Processing Facility (SWPF). Interim Salt Processing is separated into Deliquification, Dissolution, and Adjustment (DDA) and Actinide Removal Process/Caustic Side Solvent Extraction Unit (ARP/MCU). The Waste Determination was signed by the

  20. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, Carol Maryanne; Pickett, John Butler; Brown, Kevin George; Edwards, Thomas Barry

    1998-01-01

    A process for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, .DELTA.G.sub.p, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, .DELTA.G.sub.a, based upon the free energy associated with weak acid dissociation, .DELTA.G.sub.a.sup.WA, and accelerated matrix dissolution at high pH, .DELTA.G.sub.a.sup.SB associated with solution strong base formation, and determining a final hydration free energy, .DELTA.G.sub.f. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log.sub.10 (N C.sub.i (g/L))=a.sub.i +b.sub.i .DELTA.G.sub.f. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained.

  1. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, C.M.; Pickett, J.B.; Brown, K.G.; Edwards, T.B.

    1998-12-08

    A process is described for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, {Delta}G{sub p}, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, {Delta}G{sub a}, based upon the free energy associated with weak acid dissociation, {Delta}G{sub a}{sup WA}, and accelerated matrix dissolution at high pH, {Delta}G{sub a}{sup SB} associated with solution strong base formation, and determining a final hydration free energy, {Delta}G{sub f}. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log{sub 10}(N C{sub i}(g/L))=a{sub i} + b{sub i}{Delta}G{sub f}. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained. 4 figs.

  2. Computational Procedures for Determining Parameters in Ramberg...

    Office of Scientific and Technical Information (OSTI)

    2 RAMBO: A Computer Code for Determining Parameters in Ramberg-Osgood Elastoplastic Model Based on Modulus and Damping Versus Strain ABSTRACT A computer code, RAMBO, is ...

  3. Quantitative Experimental Determination of the Solid Solution...

    Office of Scientific and Technical Information (OSTI)

    Quantitative Experimental Determination of the Solid Solution Hardening Potential of Rhenium, Tungsten and Molybdenum in Single Crystal Nickel-based Superalloys Citation Details ...

  4. CX-100343 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    CX-100343 Categorical Exclusion Determination RPM Solar Asset Management Software Award ... Management to develop a cloud based software platform that manages the financial and ...

  5. CX-007065: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Categorical Exclusion Determination Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Technology for Carbon Dioxide Capture CX(s) Applied: B3.6...

  6. CX-100627 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Determination Green, stable and earth abundant ionic PV absorbers based on chalcogenide perovskite Award Number: DE-EE0007364 CX(s) Applied: A9, B3.6 Solar Energy Technologies ...

  7. Categorical Exclusion Determinations: Georgia | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Georgia Categorical Exclusion Determinations: Georgia Location Categorical Exclusion Determinations issued for actions in Georgia. DOCUMENTS AVAILABLE FOR DOWNLOAD May 2, 2016 CX-100596 Categorical Exclusion Determination Energy Savings Performance Contract (ESPC) at Marine Corps Logistics Base Albany (MCLBA), GA - Biomass Steam Turbine Generator Award Number: DE-EE0007461 CX(s) Applied: A9 Federal Energy Management Program Date: 04/13/2016 Location(s): GA Office(s): Golden Field Office March 4,

  8. Categorical Exclusion Determinations: Massachusetts | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Massachusetts Categorical Exclusion Determinations: Massachusetts Location Categorical Exclusion Determinations issued for actions in Massachusetts. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100664 Categorical Exclusion Determination Physics-Based Interval Data Models to Automate and Scale Home Energy Performance Evaluations Award Number: DE-EE0007571 CX(s) Applied: A9, A11, B5.1 Building Technologies Office Date: 7/14/2016 Location(s): MA Office(s): Golden Field Office May 26, 2016

  9. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G.; Gurary, Alexander I.; Boguslavskiy, Vadim

    2002-01-01

    A method for determining the temperature of a surface upon which a coating is grown using optical pyrometry by correcting Kirchhoff's law for errors in the emissivity or reflectance measurements associated with the growth of the coating and subsequent changes in the surface thermal emission and heat transfer characteristics. By a calibration process that can be carried out in situ in the chamber where the coating process occurs, an error calibration parameter can be determined that allows more precise determination of the temperature of the surface using optical pyrometry systems. The calibration process needs only to be carried out when the physical characteristics of the coating chamber change.

  10. NEPA Determination Complete

    Broader source: Energy.gov [DOE]

    DOE has determined that this proposed project is a major Federal action that may significantly affect the quality of the human environment. To comply with the National Environmental Policy Act ...

  11. Solids mass flow determination

    DOE Patents [OSTI]

    Macko, Joseph E.

    1981-01-01

    Method and apparatus for determining the mass flow rate of solids mixed with a transport fluid to form a flowing mixture. A temperature differential is established between the solids and fluid. The temperature of the transport fluid prior to mixing, the temperature of the solids prior to mixing, and the equilibrium temperature of the mixture are monitored and correlated in a heat balance with the heat capacities of the solids and fluid to determine the solids mass flow rate.

  12. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, D.O.; Burger, A.

    1994-11-22

    An optically transparent furnace having a detection apparatus with a pedestal enclosed in an evacuated ampule for growing a crystal thereon is disclosed. Temperature differential is provided by a source heater, a base heater and a cold finger such that material migrates from a polycrystalline source material to grow the crystal. A quartz halogen lamp projects a collimated beam onto the crystal and a reflected beam is analyzed by a double monochromator and photomultiplier detection spectrometer and the detected peak position in the reflected energy spectrum of the reflected beam is interpreted to determine surface temperature of the crystal. 3 figs.

  13. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    Fortier, Nancy E.; Fritz, James S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present.

  14. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    Fortier, N.E.; Fritz, J.S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present. 1 fig.

  15. Categorical Exclusion Determinations: Environmental Management...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Consolidated Business Service Center Categorical Exclusion Determinations: Environmental Management Consolidated Business Service Center Categorical Exclusion Determinations issued ...

  16. Determination of a mutational spectrum

    DOE Patents [OSTI]

    Thilly, William G.; Keohavong, Phouthone

    1991-01-01

    A method of resolving (physically separating) mutant DNA from nonmutant DNA and a method of defining or establishing a mutational spectrum or profile of alterations present in nucleic acid sequences from a sample to be analyzed, such as a tissue or body fluid. The present method is based on the fact that it is possible, through the use of DGGE, to separate nucleic acid sequences which differ by only a single base change and on the ability to detect the separate mutant molecules. The present invention, in another aspect, relates to a method for determining a mutational spectrum in a DNA sequence of interest present in a population of cells. The method of the present invention is useful as a diagnostic or analytical tool in forensic science in assessing environmental and/or occupational exposures to potentially genetically toxic materials (also referred to as potential mutagens); in biotechnology, particularly in the study of the relationship between the amino acid sequence of enzymes and other biologically-active proteins or protein-containing substances and their respective functions; and in determining the effects of drugs, cosmetics and other chemicals for which toxicity data must be obtained.

  17. NEPA Determination Form

    National Nuclear Security Administration (NNSA)

    LA NEPA COMPLIANCE DETERMINATION FORM PRID - 09P-0059 V2 Page 1 of 8 Project/Activity Title: TA-3 Substation Replacement Project PRID: 09P-0059 V2 Date: February 16, 2016 Purpose: The proposed demolition and replacement of the Los Alamos National Laboratory's (LANL) Technical Area (TA)-3 electrical power substation is needed to provide reliable and efficient electrical distribution systems with sufficient electrical capacity to support the national security missions. The electrical distribution

  18. Interim Action Determination

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Interim Action Determination Processing of Plutonium Materials from the DOE Standard 3013 Surveillance Program in H-Canyon at the Savannah River Site The Department of Energy (DOE) is preparing the Surplus Plutonium Disposition Supplemental Environmental Impact Statement (SPD SEIS, DOE/EIS-0283-S2). DOE is evaluating alternatives for disposition of non-pit plutonium that is surplus to the national security needs of the United States. Although the Deputy Secretary of Energy approved Critical

  19. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, Donald O.; Burger, Arnold

    1994-01-01

    An optically transparent furnace (10) having a detection apparatus (29) with a pedestal (12) enclosed in an evacuated ampule (16) for growing a crystal (14) thereon. Temperature differential is provided by a source heater (20), a base heater (24) and a cold finger (26) such that material migrates from a polycrystalline source material (18) to grow the crystal (14). A quartz halogen lamp (32) projects a collimated beam (30) onto the crystal (14) and a reflected beam (34) is analyzed by a double monochromator and photomultiplier detection spectrometer (40) and the detected peak position (48) in the reflected energy spectrum (44) of the reflected beam (34) is interpreted to determine surface temperature of the crystal (14).

  20. Determination of radar MTF

    SciTech Connect (OSTI)

    Chambers, D.

    1994-11-15

    The ultimate goal of the Current Meter Array (CMA) is to be able to compare the current patterns detected with the array with radar images of the water surface. The internal wave current patterns modulate the waves on the water surface giving a detectable modulation of the radar cross-section (RCS). The function relating the RCS modulations to the current patterns is the Modulation Transfer Function (MTF). By comparing radar images directly with co-located CMA measurements the MTF can be determined. In this talk radar images and CMA measurements from a recent experiment at Loch Linnhe, Scotland, will be used to make the first direct determination of MTF for an X and S band radar at low grazing angles. The technical problems associated with comparing radar images to CMA data will be explained and the solution method discussed. The results suggest the both current and strain rate contribute equally to the radar modulation for X band. For S band, the strain rate contributes more than the current. The magnitude of the MTF and the RCS modulations are consistent with previous estimates when the wind is blowing perpendicular to the radar look direction.

  1. Categorical Exclusion Determinations: Mississippi | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    March 30, 2015 CX-013741: Categorical Exclusion Determination Statistical Analysis of ... March 30, 2015 CX-013758: Categorical Exclusion Determination Statistical Analysis of ...

  2. Keratinocyte-derived IL-24 plays a role in the positive feedback regulation of epidermal inflammation in response to environmental and endogenous toxic stressors

    SciTech Connect (OSTI)

    Jin, Sun Hee; Choi, Dalwoong; Chun, Young-Jin; Noh, Minsoo

    2014-10-15

    Keratinocytes are the major cellular components of human epidermis and play a key role in the modulating cutaneous inflammation and toxic responses. In human chronic skin diseases, the common skin inflammatory phenotypes like skin barrier disruption and epidermal hyperplasia are manifested in epidermal keratinocytes by interactions with T helper (Th) cells. To find a common gene expression signature of human keratinocytes in chronic skin diseases, we performed a whole genome microarray analysis on normal human epidermal keratinocytes (NHKs) treated with IFNγ, IL-4, IL-17A or IL-22, major cytokines from Th1, Th2, Th17 or Th22 cells, respectively. The microarray results showed that the four genes, IL-24, PDZK1IP1, H19 and filaggrin, had common expression profiles in NHKs exposed to Th cell cytokines. In addition, the acute phase pro-inflammatory cytokines, IL-1β, IL-6 and TNFα, also change the gene transcriptional profile of IL-24, PDZK1IP1, H19, and filaggrin in NHKs as those of Th cytokines. Therefore, the signature gene set, consisting of IL-24, PDZK1IP1, H19, and filaggrin, provides essential insights for understanding the process of cutaneous inflammation and toxic responses. We demonstrate that environmental toxic stressors, such as chemical irritants and ultraviolet irradiation stimulate the production of IL-24 in NHKs. IL-24 stimulates the JAK1-STAT3 and MAPK pathways in NHKs, and promotes the secretion of pro-inflammatory mediators IL-8, PGE2, and MMP-1. These results suggest that keratinocyte-derived IL-24 participates in the positive feedback regulation of epidermal inflammation in response to both endogenous and environmental toxic stressors. - Highlights: • Cutaneous inflammatory gene signature consists of PDZK1IP1, IL-24, H19 and filaggrin. • Pro-inflammatory cytokines increase IL-24 production in human keratinocytes. • Environmental toxic stressors increase IL-24 production in human keratinocytes. • IL-24 stimulates human keratinocytes to

  3. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services

  4. Utility: Noncompliance Determination (2016-SE-42003) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Noncompliance Determination (2016-SE-42003) Utility: Noncompliance Determination (2016-SE-42003) December 30, 2015 DOE issued a Notice of Noncompliance Determination to Utility Refrigerator finding that commercial refrigeration equipment basic model number PT-R-75-SS-3S-3S-N does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Utility must immediately notify each person (or company) to whom Utility distributed the noncompliant

  5. Victory: Noncompliance Determination (2015-SE-42033) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Noncompliance Determination (2015-SE-42033) Victory: Noncompliance Determination (2015-SE-42033) August 18, 2015 DOE issued a Notice of Noncompliance Determination to Victory Refrigeration finding that commercial refrigeration equipment basic model number RFS-1D-S1-EW-PT-HD (including each individual model within the basic model) does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Victory must immediately notify each person

  6. Categorical Exclusion Determinations: B1.34 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    4 Categorical Exclusion Determinations: B1.34 Existing Regulations B1.34: Lead-based paint containment, removal, and disposal Containment, removal, and disposal of lead-based paint in accordance with applicable requirements (such as provisions relating to the certification of removal contractors and technicians at 40 CFR part 745, "Lead-Based Paint Poisoning Prevention In Certain Residential Structures"). Previous Regulations Categorical Exclusion Determinations dated before November

  7. Determination of prospective displacement-based gate threshold...

    Office of Scientific and Technical Information (OSTI)

    R.; Beddar, S. Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030 (United States) 62 RADIOLOGY AND NUCLEAR MEDICINE;...

  8. Determination of prospective displacement-based gate threshold...

    Office of Scientific and Technical Information (OSTI)

    Author Affiliations Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030 (United States) Publication Date: 2007-11-15 OSTI...

  9. System and method to determine electric motor efficiency nonintrusively

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G.; Harley, Ronald G.

    2011-08-30

    A system and method for nonintrusively determining electric motor efficiency includes a processor programed to, while the motor is in operation, determine a plurality of stator input currents, electrical input data, a rotor speed, a value of stator resistance, and an efficiency of the motor based on the determined rotor speed, the value of stator resistance, the plurality of stator input currents, and the electrical input data. The determination of the rotor speed is based on one of the input power and the plurality of stator input currents. The determination of the value of the stator resistance is based on at least one of a horsepower rating and a combination of the plurality of stator input currents and the electrical input data. The electrical input data includes at least one of an input power and a plurality of stator input voltages.

  10. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  11. Categorical Exclusion Determinations: Pennsylvania | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... August 3, 2015 CX-014051: Categorical Exclusion Determination A Scaling Study of Microbially-Enhanced Coalbed Methane (MECBM): Optimizing Nutrient Delivery for Maximized Methane ...

  12. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  13. Categorical Exclusion Determinations: Nationwide | Department...

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

    ... February 18, 2016 CX-014630: Categorical Exclusion Determination Inspection and Repair of West Hackberry-Sun 42-Inch Crude Oil Pipeline CX(s) Applied: 0 Date: 02182016 ...

  14. Categorical Exclusion Determinations: New York | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    York Categorical Exclusion Determinations: New York Location Categorical Exclusion Determinations issued for actions in New York. DOCUMENTS AVAILABLE FOR DOWNLOAD June 11, 2016 CX-100627 Categorical Exclusion Determination Green, stable and earth abundant ionic PV absorbers based on chalcogenide perovskite Award Number: DE-EE0007364 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 03/31/2016 Location(s): NY Office(s): Golden Field Office April 6, 2016 CX-100591 Categorical

  15. Islandaire: Noncompliance Determination (2015-SE-43007) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy 7) Islandaire: Noncompliance Determination (2015-SE-43007) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-09ANR1-B, which includes models EZ4209B and EZDR09B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it

  16. Islandaire: Noncompliance Determination (2015-SE-43008) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy 8) Islandaire: Noncompliance Determination (2015-SE-43008) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-129ANR1-B, which includes model EZDR12B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it distributed the

  17. Islandaire: Noncompliance Determination (2015-SE-43009) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy 9) Islandaire: Noncompliance Determination (2015-SE-43009) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-07ANR1-B, which includes model EZDR07B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it distributed the

  18. CX-004010: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    010: Categorical Exclusion Determination CX-004010: Categorical Exclusion Determination Advanced Laser-Based Sensors for Industrial Process Control CX(s) Applied: B3.6, B5.1 Date: 09/14/2010 Location(s): Mountain View, California Office(s): Energy Efficiency and Renewable Energy In Phase III, Los Gatos Research (LGR) will fabricate, deploy, and commercialize two advanced laser based gas sensors for industrial process control monitoring in electric arc furnaces. The first sensor will utilize both

  19. CX-009863: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Production of Coal/Biomass-to-Liquid-Based Jet Fuels from Biomass-Based Feedstocks CX(s) Applied: B3.6 Date: 01/08/2013 Location(s): North Dakota Offices(s): National Energy Technology Laboratory

  20. CX-012694: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Periodic Material–Based Seismic Base Isolators for Small Modular Reactors-University of Houston CX(s) Applied: B3.6Date: 41864 Location(s): TexasOffices(s): Nuclear Energy

  1. System and method for determining an ammonia generation rate in a three-way catalyst

    DOE Patents [OSTI]

    Sun, Min; Perry, Kevin L; Kim, Chang H

    2014-12-30

    A system according to the principles of the present disclosure includes a rate determination module, a storage level determination module, and an air/fuel ratio control module. The rate determination module determines an ammonia generation rate in a three-way catalyst based on a reaction efficiency and a reactant level. The storage level determination module determines an ammonia storage level in a selective catalytic reduction (SCR) catalyst positioned downstream from the three-way catalyst based on the ammonia generation rate. The air/fuel ratio control module controls an air/fuel ratio of an engine based on the ammonia storage level.

  2. CX-000768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining the Variability of Continuous Mercury Monitors at Low Mercury LevelsCX(s) Applied: B3.6Date: 02/07/2010Location(s): Grand Forks, North DakotaOffice(s): Fossil Energy, National Energy Technology Laboratory

  3. CX-010776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Primary Coolant Leak Rate Determination System Equipment Replacement CX(s) Applied: B2.2 Date: 07/24/2013 Location(s): Idaho Offices(s): Nuclear Energy

  4. CX-008905: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  5. CX-012121: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Notice of Preliminary Determination of Energy Savings for ANSI/ASHRAE/IES Standard 90.1-2013 CX(s) Applied: A6 Date: 04/25/2014 Location(s): CX: none Offices(s): Golden Field Office

  6. CX-004264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Phase II, Determination of Uranium in GroundwaterCX(s) Applied: B3.8Date: 09/27/2010Location(s): Richland, WashingtonOffice(s): Environmental Management, Office of River Protection-Richland Office

  7. CX-010493: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining Distribution Coefficients by Surface-Enhanced Raman Spectroscopy (SERS) CX(s) Applied: B3.6 Date: 05/14/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  8. CX-014390: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    National Environmental Policy Act Determination at Fermi National Accelerator Laboratory CX(s) Applied: B1.15Date: 12/03/2015 Location(s): IllinoisOffices(s): Fermi Site Office

  9. Categorical Exclusion Determinations: Louisiana | Department...

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

    ... April 24, 2014 CX-011646: Categorical Exclusion Determination Rework West Hackberry 36" Crude Oil Pipeline Mainline Valves CX(s) Applied: B1.3 Date: 12102013 Location(s): ...

  10. CX-100604 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 05/04/2016 Location(s): Nationwide Office(s): Golden Field Office

  11. CX-100474 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 02/18/2016 Location(s): Nationwide Office(s): Golden Field Office

  12. CX-014511: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Density Determination by Gas Displacement Picnometry CX(s) Applied: B3.6Date: 10/05/2015 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  13. Gender determination of avian embryo

    DOE Patents [OSTI]

    Daum, Keith A.; Atkinson, David A.

    2002-01-01

    Disclosed is a method for gender determination of avian embryos. During the embryo incubation process, the outer hard shells of eggs are drilled and samples of allantoic fluid are removed. The allantoic fluids are directly introduced into an ion mobility spectrometer (IMS) for analysis. The resulting spectra contain the relevant marker peaks in the positive or negative mode which correlate with unique mobilities which are sex-specific. This way, the gender of the embryo can be determined.

  14. Method and apparatus for determining tensile strength

    DOE Patents [OSTI]

    Ratigan, J.L.

    1982-05-28

    A method and apparatus is described for determining the statistical distribution of apparent tensile strength of rock, the size effect with respect to tensile strength, as well as apparent deformation modulus of both intact and fractured or jointed rock. The method is carried out by inserting a plug of deformable material, such as rubber, in an opening of a specimen to be tested. The deformable material is loaded by an upper and lower platen until the specimen ruptures, whereafter the tensile strength is calculated based on the parameters of the test specimen and apparatus.

  15. Method and apparatus for determining tensile strength

    DOE Patents [OSTI]

    Ratigan, Joe L.

    1984-01-01

    A method and apparatus for determining the statistical distribution of apparent tensile strength of rock, the size effect with respect to tensile strength, as well as apparent deformation modulus of both intact and fractured or jointed rock. The method is carried out by inserting a plug of deformable material, such as rubber, in an opening of a specimen to be tested. The deformable material is loaded by an upper and lower platen until the specimen ruptures, whereafter the tensile strength is calculated based on the parameters of the test specimen and apparatus.

  16. Barron: Noncompliance Determination (2013-SE-5402) | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Noncompliance Determination (2013-SE-5402) Barron: Noncompliance Determination (2013-SE-5402) December 17, 2015 DOE issued a Notice of Noncompliance Determination to Barron ...

  17. Shandong Hongtai: Noncompliance Determination (2016-SE-42010...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Noncompliance Determination (2016-SE-42010) Shandong Hongtai: Noncompliance Determination (2016-SE-42010) January 6, 2016 DOE issued a Notice of Noncompliance Determination to ...

  18. MEANS FOR DETERMINING CENTRIFUGE ALIGNMENT

    DOE Patents [OSTI]

    Smith, W.Q.

    1958-08-26

    An apparatus is presented for remotely determining the alignment of a centrifuge. The centrifage shaft is provided with a shoulder, upon which two followers ride, one for detecting radial movements, and one upon the shoulder face for determining the axial motion. The followers are attached to separate liquid filled bellows, and a tube connects each bellows to its respective indicating gage at a remote location. Vibrations produced by misalignment of the centrifuge shaft are transmitted to the bellows, and tbence through the tubing to the indicator gage. This apparatus is particularly useful for operation in a hot cell where the materials handled are dangerous to the operating personnel.

  19. CX-014425: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Best Practices and Risk Mitigation Measures for Deepwater Cementing in Oil-Based Mud and Synthetic-Based Mud CX(s) Applied: B3.1, B3.16Date: 12/04/2015 Location(s): TexasOffices(s): National Energy Technology Laboratory

  20. CX-003510: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sulfur Based Thermochemical Heat Storage for Based Load Concentrated Solar Power GenerationCX(s) Applied: A9, B3.6Date: 08/24/2010Location(s): CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  1. CX-012299: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analysis of Best Practices for Deepwater Cementing in Oil-Based Mud and Synthetic-Based Mud CX(s) Applied: A9, A11, B3.6 Date: 05/30/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  2. CX-012300: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analysis of Best Practices for Deepwater Cementing in Oil-Based Mud and Synthetic-Based Mud CX(s) Applied: A9, A11, B3.6 Date: 05/30/2014 Location(s): New Jersey Offices(s): National Energy Technology Laboratory

  3. CX-100144 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-100144 Categorical Exclusion Determination Solar and Distributed Generation as Key Elements in Meeting Vermont's Comprehensive Energy Plan...

  4. CX-007711: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    711: Categorical Exclusion Determination CX-007711: Categorical Exclusion Determination Solar Thermochemical Fuel Production via a Novel Low Pressure, Magnetically Stabilized, ...

  5. EA-1835: Environmental Assessment Determination | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    35: Environmental Assessment Determination EA-1835: Environmental Assessment Determination Midwest Regional Carbon Sequestration Partnership (MRCSP) Phase II Michigan Basin Project ...

  6. CX-005728: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    28: Categorical Exclusion Determination CX-005728: Categorical Exclusion Determination Recovery Act: Rural Electric Cooperative Geothermal Development Electric and Agriculture ...

  7. CX-100363 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-100363 Categorical Exclusion Determination Marine Algae Industrialization Consortium (MAGIC): Combining biofuel and high-value bioproducts to...

  8. CX-100267 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Exclusion Determination CX-100267 Categorical Exclusion Determination Next Generation Logistics Systems for Delivering Optimal Biomass Feedstocks to Biorefining Industries in...

  9. Categorical Exclusion Determinations: North Carolina | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Carolina Categorical Exclusion Determinations: North Carolina Location Categorical Exclusion Determinations issued for actions in North Carolina. DOCUMENTS AVAILABLE FOR DOWNLOAD ...

  10. Categorical Exclusion Determinations: Civilian Radioactive Waste...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Civilian Radioactive Waste Management Categorical Exclusion Determinations: Civilian Radioactive Waste Management Categorical Exclusion Determinations issued by Civilian ...

  11. Categorical Exclusion Determinations: Carlsbad Field Office ...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Carlsbad Field Office Categorical Exclusion Determinations: Carlsbad Field Office Categorical Exclusion Determinations issued by Carlsbad Field Office. DOCUMENTS AVAILABLE FOR ...

  12. Categorical Exclusion Determinations: West Valley Demonstration...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Valley Demonstration Project Categorical Exclusion Determinations: West Valley Demonstration Project Categorical Exclusion Determinations issued by West Valley Demonstration ...

  13. CX-000373: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Measurements of 222 Radon, 220 Radon, and Carbon Dioxide Emissions in Natural Carbon Dioxide Fields in Wyoming: Monitoring, Verification, and Analysis Techniques for Determining Gas Transport and Caprock IntegrityCX(s) Applied: A1, A9, B3.6, B3.8Date: 11/20/2009Location(s): Laramie, WyomingOffice(s): Fossil Energy, National Energy Technology Laboratory

  14. CX-002602: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: A9, A11Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  15. CX-002600: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  16. CX-002599: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Berkeley, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  17. CX-002598: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Morris, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  18. CX-002601: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Fridley, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  19. CX-011193: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Categorical Exclusion Determination for Indoor, Small- and Pilot-Scale Research and Development CX(s) Applied: A9, B1.7, B3.6, B3.10, B3.12, B3.15, B5.1, B5.15 Date: 08/05/2013 Location(s): California Offices(s): Berkeley Site Office

  20. CX-100019: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Rare Earths in Geothermal Brines and Evaluation of Potential Extraction Techniques CX(s) Applied: A9, B3.1, B3.6 Date: 08/18/2014 Location(s): California Offices(s): Golden Field Office Technology Office: Geothermal Technologies Award Number: DE-EE0006750

  1. CX-008738: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Microstructure and Chemical State Changes in Ion-Irradiated Fuels and Structural Components with a High Kinetic Energy Electron Detector – Illinois Institute of Technology CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  2. CX-100558 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Portable Air Conditioners (1904-AD02) RIN 1904-AD02 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 03/03/2016 Location(s): Nationwide Office(s): Golden Field Office

  3. CX-100312 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Withdrawal of Proposed Determination Regarding Energy Conservation Program: Natural Draft Commercial Boilers RIN: 1904-AD01 CX(s) Applied: A5 EERE- Buildings Technology Program Date: 07/20/2015 Location(s): Nationwide Office(s): Golden Field Office

  4. CX-013440: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion Determination to Replace Piping Header at Bryan Mound RWIS and RWIP (BM-MM-1027) CX(s) Applied: B1.3Date: 02/18/2015 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  5. CX-012693: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Experimental Determination and Mechanistic Modeling of Used Fuel Drying by Vacuum and Gas Circulation for Dry Cask Storage University of South Carolina CX(s) Applied: B3.6Date: 41869 Location(s): South CarolinaOffices(s): Nuclear Energy

  6. Plasma digital density determining device

    DOE Patents [OSTI]

    Sprott, Julien C.; Lovell, Thomas W.; Holly, Donald J.

    1976-01-01

    The density of a decaying plasma in an electrically conducting enclosure is determined by applying an excitation to the cavity formed by the enclosure and counting digitally the number of resonant frequencies traversed by the combination of the cavity and the decaying plasma.

  7. Method and system for determining induction motor speed

    DOE Patents [OSTI]

    Parlos, Alexander G.; Bharadwaj, Raj M.

    2004-03-30

    A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.

  8. CX-012403: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computational Design and Discovery of Ni-Based Alloys and Coatings: Thermodynamic Approaches Validated CX(s) Applied: A9Date: 41884 Location(s): PennsylvaniaOffices(s): National Energy Technology Laboratory

  9. CX-100006: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Community-Based PPA Investment Platform & Partnership Program Award Number: DE-EE0006699 CX(s) Applied: A9, A11 Solar Energy Technologies Date: 08/27/2014 Location(s): Pennsylvania Office(s): Golden Field Office

  10. CX-001495: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Altus Air Force Base- Second Meteorological TowerCX(s) Applied: B3.1, A9Date: 04/05/2010Location(s): Jackson County, OklahomaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  11. CX-012341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Humboldt Mountain Communication Facility - Asbestos and Lead-based Paint Testing CX(s) Applied: B3.1 Date: 06/19/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  12. CX-007947: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Simulated Based Engineering User Center CX(s) Applied: B1.7, B1.15 Date: 02/08/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  13. CX-008222: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Water Based, Critical Flow, Non-Vapor-Compression Cooling Cycle CX(s) Applied: B3.6 Date: 04/30/2012 Location(s): Kansas Offices(s): Golden Field Office

  14. CX-010981: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    High-Throughput Study of Diffusion and Phase Transformation Kinetics of Magnesium-Based Systems... CX(s) Applied: A9 Date: 09/13/2013 Location(s): Wisconsin Offices(s): National Energy Technology Laboratory

  15. CX-002666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Plasma Based Nanotechnology Research and Development LaboratoryCX(s) Applied: B3.6Date: 06/03/2010Location(s): New JerseyOffice(s): Princeton Site Office, Science

  16. CX-014611: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Plasma Arc Gasification Based Rare Earth Element Recovery from Coal Fly Ash CX(s) Applied: A9, B3.6Date: 01/21/2016 Location(s): Multiple LocationsOffices(s): National Energy Technology Laboratory

  17. CX-011797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9 Date: 02/03/2014 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  18. CX-012507: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress (Project Extension) CX(s) Applied: A9, A11Date: 41851 Location(s): PennsylvaniaOffices(s): National Energy Technology Laboratory

  19. CX-010782: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9 Date: 08/21/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  20. CX-007422: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Module-Integrated Power Converters Based on Universal Dock CX(s) Applied: A9, B3.6 Date: 12/14/2011 Location(s): Texas Offices(s): Golden Field Office

  1. CX-011442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  2. CX-011441: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  3. CX-011443: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sorbent Based Post-Combustion Carbon Dioxide (CO2) Slipstream Testing CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Alabama Offices(s): National Energy Technology Laboratory

  4. CX-014029: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Model-Based Extracted Water Desalination System for Carbon Sequestration CX(s) Applied: A9, B3.6Date: 08/14/2015 Location(s): New YorkOffices(s): National Energy Technology Laboratory

  5. CX-012678: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing Polymer–Grafted Amidoxime-based Adsorbents for Uranium Uptake from Seawater - Georgia Institute of Technology CX(s) Applied: B3.6Date: 41863 Location(s): GeorgiaOffices(s): Nuclear Energy

  6. CX-011544: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Innovative Elution Processes for Recovering Uranium and Transition Metals from Amidoxime-based Sorbents CX(s) Applied: B3.6 Date: 12/03/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  7. CX-011119: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Physics-Based Reliability Models for Supercritical-Carbon Dioxide Turbomachinery Components CX(s) Applied: A9, B3.6 Date: 08/30/2013 Location(s): New York Offices(s): Golden Field Office

  8. CX-014260: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Microalgae-based Platform for the Beneficial Reuse of Carbon Dioxide Emissions from... CX(s) Applied: B3.6Date: 09/03/2015 Location(s): KentuckyOffices(s): National Energy Technology Laboratory

  9. CX-009390: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal-Based Systems - FuelCell Energy (Revised Summary CX) CX(s) Applied: A9, B3.6 Date: 09/13/2012 Location(s): Multiple, Canada Offices(s): National Energy Technology Laboratory

  10. CX-011033: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Novel Non-Carbonate Based Electrolytes for Silicon Anodes CX(s) Applied: B3.6 Date: 09/10/2013 Location(s): Minnesota Offices(s): National Energy Technology Laboratory

  11. CX-011032: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Novel Non-Carbonate Based Electrolytes for Silicon Anodes CX(s) Applied: B3.6 Date: 09/10/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  12. CX-013860: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Identification and Mitigation of Droop Mechanism in GaN-Based LEDs CX(s) Applied: B3.6Date: 06/16/2015 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  13. CX-010612: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microstructure-Sensitive Crystal Viscoplasticity for Ni-Based Superalloys CX(s) Applied: B3.6, B4.4 Date: 07/24/2013 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  14. CX-009385: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Faster Than Real-Time Dynamic Simulation Tool, Facilitating Measurement-Based Control CX(s) Applied: A9 Date: 09/13/2012 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  15. CX-011784: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pressure-Based Inversion and Data Assimilation System (PIDAS) for Carbon Dioxide Leakage Detection CX(s) Applied: B3.1 Date: 02/19/2014 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  16. CX-001692: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    MacDonald Miller Financing Packages for Utility Based Energy Efficient ProjectsCX(s) Applied: B5.1Date: 04/13/2010Location(s): WashingtonOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  17. CX-012483: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Long-Term Degradation of LSM-Based SOFC Cathodes: Use of a Proven Accelerated Test Regimen CX(s) Applied: B3.6Date: 41862 Location(s): OhioOffices(s): National Energy Technology Laboratory

  18. CX-012478: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Long-Term Degradation of LSM-Based SOFC Cathodes: Use of a Proven Accelerated Test Regimen CX(s) Applied: B3.6Date: 41862 Location(s): OhioOffices(s): National Energy Technology Laboratory

  19. CX-014060: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wireless 3D Nanorod Composite Arrays based High Temp Surface-Acoustic-Wave Sensors CX(s) Applied: A9, B3.6Date: 07/29/2015 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  20. CX-010210: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pt-based Bi-metallic Monolith Catalysts for Partial Upgrading of Microalgae Oil CX(s) Applied: A9, B3.6 Date: 01/08/2013 Location(s): New Jersey Offices(s): Golden Field Office

  1. CX-100247 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Membrane Based Air Conditioning Award Number: DE-EE0007041 CX(s) Applied: A9, B3.6 Building Technologies Office Date: 05/20/2015 Location(s): FL Office(s): Golden Field Office

  2. CX-000493: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    H-Area Hazardous Waste Management Facility Base and Silver Chloride InjectionCX(s) Applied: B6.1Date: 05/28/2009Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  3. CX-002730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Experimental Validation on Novel Chromium-Based High Temperature AlloysCX(s) Applied: A9Date: 06/18/2010Location(s): Baton Rouge, LouisianaOffice(s): Fossil Energy, National Energy Technology Laboratory

  4. CX-005865: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Laboratory Tests in Support of Disodium Silicate Base AmendmentCX(s) Applied: B3.6Date: 03/09/2011Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  5. CX-013828: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Automatic Imagery Data Analysis for Proactive Computer- Based Workflow Management during Nuclear Power Plant Outages - Arizona State University CX(s) Applied: B3.6Date: 06/17/2015 Location(s): IdahoOffices(s): Nuclear Energy

  6. CX-000240: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Condition Based Monitoring for Wind FarmsCX(s) Applied: A9, A11, B3.6Date: 12/17/2009Location(s): Woodstock, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  7. CX-011259: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Algal-Based Renewable Energy for Nevada CX(s) Applied: A9, B5.15 Date: 09/11/2013 Location(s): Nevada Offices(s): Golden Field Office

  8. CX-013705: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Stable and Efficient White OLEDs Based on a Single Emissive Material CX(s) Applied: B3.6Date: 06/02/2015 Location(s): ArizonaOffices(s): National Energy Technology Laboratory

  9. CX-011083: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal Based Systems- LG Fuel Cell Systems CX(s) Applied: B3.6 Date: 08/27/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  10. CX-011084: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal Based Systems- LG Fuel Cell Systems CX(s) Applied: B3.6 Date: 08/27/2013 Location(s): CX: none Offices(s): National Energy Technology Laboratory

  11. CX-011082: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SECA Coal Based Systems- LG Fuel Cell Systems CX(s) Applied: B3.6 Date: 08/27/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  12. CX-010781: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6 Date: 08/21/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  13. CX-011106: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Model-Based Integrated High Penetration Renewables Planning and Control Analysis CX(s) Applied: A9, A11, B3.6 Date: 08/26/2013 Location(s): CX: none Offices(s): Golden Field Office

  14. CX-006469: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    A Geomechanical Model for Gas Shales Based on the Integration of StressCX(s) Applied: A9, A11Date: 08/12/2011Location(s): University Park, PennsylvaniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  15. CX-010598: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Abradable Sealing Materials for Emerging IGCC-Based Turbine Systems CX(s) Applied: B3.6 Date: 07/26/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  16. CX-006772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal-Based Integrated Gasification Fuel Cell Project: Phase IICX(s) Applied: B3.6Date: 09/16/2011Location(s): Fenton Township, MichiganOffice(s): Fossil Energy, National Energy Technology Laboratory

  17. CX-005615: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6Date: 04/13/2011Location(s): Fredricksburg, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  18. CX-005620: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and ApplicatorCX(s) Applied: B3.6Date: 04/13/2011Location(s): Blacksburg, VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  19. CX-011549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optical Fiber Based Laser System for Thermophysical Properties at Very High Temperatures CX(s) Applied: B3.6 Date: 11/26/2013 Location(s): Utah Offices(s): Idaho Operations Office

  20. CX-011711: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Commercialization of an Atmospheric Iron-Based Coal Direct CX(s) Applied: A9, B3.6 Date: 01/09/2014 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  1. CX-006869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    National Agriculture Based Lubricants CenterCX(s) Applied: A9, B3.6Date: 09/29/2011Location(s): Waterloo, IowaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  2. CX-009375: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Lyapunov Function Based Remedial Action Screening Tool Using Real-Time Data CX(s) Applied: A9 Date: 09/17/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

  3. CX-001108: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Data Compilation for the National Geothermal Data BaseCX(s) Applied: A9Date: 03/10/2010Location(s): TexasOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-004915: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    United Technologies Research Center - Water-Based Heating, Ventilation, and Air Conditioning SystemCX(s) Applied: B3.6Date: 08/16/2010Location(s): East Hartford, ConnecticutOffice(s): Advanced Research Projects Agency - Energy

  5. CX-003519: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southern Pine Based Biorefinery CenterCX(s) Applied: A9, B3.6Date: 08/26/2010Location(s): Atlanta, GeorgiaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  6. CX-008528: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demonstration of Pyrolysis Based Biorefinery Concept for Biopower, Biomaterials and Biochar CX(s) Applied: A9, B3.6, B5.15 Date: 05/21/2012 Location(s): Iowa Offices(s): Golden Field Office

  7. CX-011744: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    University of California, Los Angeles - Safe Aqueous-Based High Performance Electrochemical Energy Storage CX(s) Applied: B3.6 Date: 10/31/2013 Location(s): California Offices(s): Advanced Research Projects Agency-Energy

  8. CX-007062: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Removing Lead Base Paint and Primer from Crane Trolley PlateCX(s) Applied: B3.6Date: 09/01/2011Location(s): Aiken, South CarolinaOffice(s): Environmental Management, National Energy Technology Laboratory

  9. CX-000598: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    25A5311 - Quaternary Phosphonium Based Hydroxide Exchange MembranesCX(s) Applied: B3.6Date: 12/15/2009Location(s): CaliforniaOffice(s): Advanced Research Projects Agency - Energy

  10. CX-008012: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wave Glider-Based Passive Acoustic Detection System CX(s) Applied: B3.6, B3.16, Date: 01/04/2012 Location(s): Washington Offices(s): Science, Pacific Northwest Site Office

  11. CX-010894: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Graphene-Based Composite Sensor for Energy Applications CX(s) Applied: B3.6 Date: 06/27/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  12. CX-010639: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Graphene-Based Composite Sensor for Energy Applications CX(s) Applied: B3.6 Date: 06/27/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  13. CX-005624: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Evaluating and Commercializing a Solvent Based Enhanced Oil Recovery TechnologyCX(s) Applied: B5.12Date: 04/13/2011Location(s): Huntington Beach, CaliforniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  14. CX-001093: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Finite Volume Based Computer Program for Ground Source Heat Pump SystemCX(s) Applied: A9Date: 03/09/2010Location(s): OhioOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  15. CX-010992: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Polyalkylene Glycol Based Lubricant for Light and Medium Duty Vehicle Axles CX(s) Applied: B3.6, Date: 09/13/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  16. CX-010943: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Polyalkylene Glycol Based Lubricant for Light and Medium Duty Vehicle Axles CX(s) Applied: B3.6 Date: 09/17/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  17. CX-010991: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Polyalkylene Glycol-Based Lubricant for Light and Medium Duty Vehicle Axles CX(s) Applied: B3.6, B5.1 Date: 09/13/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  18. CX-005046: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Evaluating and Commercializing a Solvent Based EOR TechnologyCX(s) Applied: B3.6Date: 01/19/2011Location(s): Santa Barbara County, CaliforniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  19. CX-002265: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Payload 2 Integration and Environmental Testing at Kirtland Air Force BaseCX(s) Applied: B3.6Date: 03/01/2010Location(s): New MexicoOffice(s): NNSA-Headquarters, Sandia Site Office

  20. CX-002308: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Model-Based Flotation SimulatorCX(s) Applied: A9Date: 05/17/2010Location(s): Blacksburg, VirginiaOffice(s): Fossil Energy, National Energy Technology Laboratory

  1. CX-003559: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Model-Based Flotation SimulatorCX(s) Applied: A9Date: 08/25/2010Location(s): Blacksburg, VirginiaOffice(s): Fossil Energy, National Energy Technology Laboratory

  2. CX-010528: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Durability Investigation for Quarternary Phosphonium-based Polymer Hydroxide Exchange Membranes CX(s) Applied: B3.6 Date: 09/18/2012 Location(s): Delaware Offices(s): Advanced Research Projects Agency-Energy

  3. CX-004216: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kirtland Air Force Base Cougar Research SupportCX(s) Applied: B3.3Date: 06/08/2010Location(s): New MexicoOffice(s): Sandia Site Office

  4. CX-013666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ground-Based Laser Field Experiments CX(s) Applied: B3.11Date: 04/16/2015 Location(s): CaliforniaOffices(s): Lawrence Livermore Site Office

  5. CX-012505: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6Date: 41851 Location(s): TexasOffices(s): National Energy Technology Laboratory

  6. CX-009261: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Fast Dynamic Simulation-Based Small Signal Stability Assessment and Control CX(s) Applied: A9 Date: 09/12/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory

  7. CX-011397: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Module-Integrated Power Converters Based on Universal Dock CX(s) Applied: A9, B3.6, B5.16 Date: 12/16/2013 Location(s): Texas Offices(s): Golden Field Office

  8. CX-011991: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SoloPower, Inc. Electrodeposition-based Solar Panel Manufacturing Facilities CX(s) Applied: B1.31 Date: 08/15/2011 Location(s): Oregon, California Offices(s): Loan Guarantee Program Office

  9. Determination and optimization of spatial samples for distributed measurements.

    SciTech Connect (OSTI)

    Huo, Xiaoming (Georgia Institute of Technology, Atlanta, GA); Tran, Hy D.; Shilling, Katherine Meghan; Kim, Heeyong (Georgia Institute of Technology, Atlanta, GA)

    2010-10-01

    There are no accepted standards for determining how many measurements to take during part inspection or where to take them, or for assessing confidence in the evaluation of acceptance based on these measurements. The goal of this work was to develop a standard method for determining the number of measurements, together with the spatial distribution of measurements and the associated risks for false acceptance and false rejection. Two paths have been taken to create a standard method for selecting sampling points. A wavelet-based model has been developed to select measurement points and to determine confidence in the measurement after the points are taken. An adaptive sampling strategy has been studied to determine implementation feasibility on commercial measurement equipment. Results using both real and simulated data are presented for each of the paths.

  10. Means of determining extrusion temperatures

    DOE Patents [OSTI]

    McDonald, Robert E.; Canonico, Domenic A.

    1977-01-01

    In an extrusion process comprising the steps of fabricating a metal billet, heating said billet for a predetermined time and at a selected temperature to increase its plasticity and then forcing said heated billet through a small orifice to produce a desired extruded object, the improvement comprising the steps of randomly inserting a plurality of small metallic thermal tabs at different cross sectional depths in said billet as a part of said fabricating step, and examining said extruded object at each thermal tab location for determining the crystal structure at each extruded thermal tab thus revealing the maximum temperature reached during extrusion in each respective tab location section of the extruded object, whereby the thermal profile of said extruded object during extrusion may be determined.

  11. CX-000293: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    3: Categorical Exclusion Determination CX-000293: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent Technology for Molten Carbonate Fuel Cell - Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/11/2009 Location(s): Oxnard, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially

  12. CX-000294: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    4: Categorical Exclusion Determination CX-000294: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent Technology for Molten Carbonate Fuel Cell- Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/11/2009 Location(s): Golden, Colorado Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially sulfur-free

  13. CX-004195: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    95: Categorical Exclusion Determination CX-004195: Categorical Exclusion Determination Terrestrial Tagging, Tracking and Locating CX(s) Applied: B3.11 Date: 06/14/2010 Location(s): Albuquerque, New Mexico Office(s): Sandia Site Office Sandia National Laboratories (SNL/NM) proposes to develop and test a terrestrial-based Tagging, Tracking, and Locating (TTL) system for Work-for-Others (WFO) customers. The activities would involve development of a TTL system using three or more passive or active

  14. CX-004912: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    912: Categorical Exclusion Determination CX-004912: Categorical Exclusion Determination Architectural Applications -Innovative Building-Integrated Ventilation Enthalpy Recovery CX(s) Applied: B3.6 Date: 08/03/2010 Location(s): Berkeley, California Office(s): Advanced Research Projects Agency - Energy Funding will support laboratory research and bench and pilot-scale testing of a building-integrated, membrane-based enthalpy recovery ventilation system designed to increase the efficiency of vapor

  15. CX-012699: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    699: Categorical Exclusion Determination CX-012699: Categorical Exclusion Determination Extraction of Uranium from Seawater: Design and Testing of a Symbiotic System - Massachusetts Institute of Technology CX(s) Applied: B3.6, B3.16 Date: 41862 Location(s): Massachusetts Offices(s): Nuclear Energy The Massachusetts Institute of Technology proposes to investigate the design details of a symbiotic system in which a uranium harvesting system for mining uranium from seawater is attached to the base

  16. CX-100596 Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6 Categorical Exclusion Determination CX-100596 Categorical Exclusion Determination Energy Savings Performance Contract (ESPC) at Marine Corps Logistics Base Albany (MCLBA), GA - Biomass Steam Turbine Generator Award Number: DE-EE0007461 CX(s) Applied: A9 Federal Energy Management Program Date: 04/13/2016 Location(s): GA Office(s): Golden Field Office The U.S. Department of Energy (DOE) is proposing to provide funding to the Marine Corps Installation Command (MCICOM) in support of the proposed

  17. Categorical Exclusion Determinations: A11 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1 Categorical Exclusion Determinations: A11 Existing Regulations A11: Technical advice and assistance to organizations Technical advice and planning assistance to international, national, state, and local organizations. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100664 Categorical Exclusion Determination Physics-Based Interval Data Models to Automate and Scale Home Energy Performance Evaluations Award Number: DE-EE0007571 CX(s) Applied: A9, A11, B5.1 Building Technologies Office Date:

  18. Categorical Exclusion Determinations: B4.3 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    3 Categorical Exclusion Determinations: B4.3 Existing Regulations B4.3: Electric power marketing rate changes Rate changes for electric power, power transmission, and other products or services provided by a Power Marketing Administration that are based on a change in revenue requirements if the operations of generation projects would remain within normal operating limits. DOCUMENTS AVAILABLE FOR DOWNLOAD November 20, 2015 CX-014539: Categorical Exclusion Determination Robert Douglas Willis

  19. Record of Categorical Exclusion (CS) Determination, Office of Electricity

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Program Direction | Department of Energy Program Direction Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Program Direction Based on OE's review of the information concerning the proposal action, the NEPA compliance Officer has determined that the proposed action fits

  20. Record of Categorical Exclusion (CS) Determination, Office of Electricity

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Workforce Development | Department of Energy Workforce Development Record of Categorical Exclusion (CS) Determination, Office of Electricity Delivery and Energy Reliability (OE): American Recovery and Reinvestment Act of 2009 (Recovery Act) Workforce Development Based on OE's review of the information concerning the proposal action, the NEPA compliance Officer has determined that the proposed

  1. "Non-spectroscopic Method of Determining Gas Constituents through

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

    Rotation; 13-2808-1, Optimization of Efficiency of Internal Combustion Engines via Using Spinning Gas ..--.. Inventors Nathaniel Fisch, Vasily Geyko | Princeton Plasma Physics Lab Non-spectroscopic Method of Determining Gas Constituents through Rotation; 13-2808-1, Optimization of Efficiency of Internal Combustion Engines via Using Spinning Gas ..--.. Inventors Nathaniel Fisch, Vasily Geyko Method of determining gas constituents through rotation is based on different response of different

  2. CX-000292: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    292: Categorical Exclusion Determination CX-000292: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent Technology for Molten Carbonate Fuel Cell - Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/10/2009 Location(s): Wheat Ridge, Colorado Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially

  3. CX-002588: Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    588: Categorical Exclusion Determination CX-002588: Categorical Exclusion Determination A Novel Biogas Desulfurization Sorbent Technology for Molten Carbonate Fuel Cell-Based Combined Heat and Power Systems CX(s) Applied: B3.6 Date: 12/11/2009 Location(s): Danbury, Connecticut Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Develop an expendable, high capacity sorbent to remove sulfur species from anaerobic digester gas, providing an essentially

  4. Range determination for scannerless imaging

    DOE Patents [OSTI]

    Muguira, Maritza Rosa; Sackos, John Theodore; Bradley, Bart Davis; Nellums, Robert

    2000-01-01

    A new method of operating a scannerless range imaging system (e.g., a scannerless laser radar) has been developed. This method is designed to compensate for nonlinear effects which appear in many real-world components. The system operates by determining the phase shift of the laser modulation, which is a physical quantity related physically to the path length between the laser source and the detector, for each pixel of an image.

  5. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D.; Burgard, Anthony R.; Pharkya, Priti

    2011-09-27

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  6. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costa D; Burgard, Anthony R; Pharkya, Priti

    2013-06-04

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  7. Perturbing engine performance measurements to determine optimal engine control settings

    DOE Patents [OSTI]

    Jiang, Li; Lee, Donghoon; Yilmaz, Hakan; Stefanopoulou, Anna

    2014-12-30

    Methods and systems for optimizing a performance of a vehicle engine are provided. The method includes determining an initial value for a first engine control parameter based on one or more detected operating conditions of the vehicle engine, determining a value of an engine performance variable, and artificially perturbing the determined value of the engine performance variable. The initial value for the first engine control parameter is then adjusted based on the perturbed engine performance variable causing the engine performance variable to approach a target engine performance variable. Operation of the vehicle engine is controlled based on the adjusted initial value for the first engine control parameter. These acts are repeated until the engine performance variable approaches the target engine performance variable.

  8. System and method to determine electric motor efficiency using an equivalent circuit

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G.

    2015-10-27

    A system and method for determining electric motor efficiency includes a monitoring system having a processor programmed to determine efficiency of an electric motor under load while the electric motor is online. The determination of motor efficiency is independent of a rotor speed measurement. Further, the efficiency is based on a determination of stator winding resistance, an input voltage, and an input current. The determination of the stator winding resistance occurs while the electric motor under load is online.

  9. System and method to determine electric motor efficiency using an equivalent circuit

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G.

    2011-06-07

    A system and method for determining electric motor efficiency includes a monitoring system having a processor programmed to determine efficiency of an electric motor under load while the electric motor is online. The determination of motor efficiency is independent of a rotor speed measurement. Further, the efficiency is based on a determination of stator winding resistance, an input voltage, and an input current. The determination of the stator winding resistance occurs while the electric motor under load is online.

  10. System and method to determine electric motor efficiency using an equivalent circuit

    DOE Patents [OSTI]

    Lu, Bin; Habetler, Thomas G

    2015-11-06

    A system and method for determining electric motor efficiency includes a monitoring system having a processor programmed to determine efficiency of an electric motor under load while the electric motor is online. The determination of motor efficiency is independent of a rotor speed measurement. Further, the efficiency is based on a determination of stator winding resistance, an input voltage, and an input current. The determination of the stator winding resistance occurs while the electric motor under load is online.

  11. CX-014694: Categorical Exclusion Determination | Department of Energy

    Office of Environmental Management (EM)

    694: Categorical Exclusion Determination CX-014694: Categorical Exclusion Determination Attenuation-based Sampling for I129 and Tc99 Along Fourmile Branch at the F-Area Seepage Basins CX(s) Applied: B3.1 Date: 12/21/2015 Location(s): South Carolina Offices(s): Savannah River Operations Office Savannah River National Laboratory is conducting an attenuation-based sampling for I129 and Tc99 along Fourmile Branch down-gradient from the F-Area Seepage Basins as part of the Department of Energy EM-12

  12. SPECIAL REREVIEW FINAL DETERMINATION UNCLASSIFIED

    Office of Legacy Management (LM)

    SPECIAL REREVIEW FINAL DETERMINATION UNCLASSIFIED , ?4~0180N SctuAnr P. 0. 00x *a STATION F New YORK, N. Y. IN RLPLY RCFSRTO EID?f A- 43 MS ~-7405 eng-8 ". Subject: Contract No.H-7405 eng-8 with Metal Hydrides Incorporated. MEMORAhDUM to the Files. 1. Reference is made to basi.c communication dated 27 September 1945, Symbol No. EIDM 1%-30-b, requesting certain information with respect to the subject contract. 2. Reference pars,?-raph a. The Government committed to restore Contractor's plant

  13. Shape Determination for Deformed Cavities

    SciTech Connect (OSTI)

    Lee, Lie-Quan; Akcelik, Volkan; Chen, Sheng; Ge, Lixin; Li, Zenghai; Ng, Cho; Xiao, Liling; Ko, Kwok; Ghattas, Omar; /Texas U.

    2006-10-04

    A realistic superconducting RF cavity has its shape deformed comparing to its designed shape due to the loose tolerance in the fabrication process and the frequency tuning for its accelerating mode. A PDE-constrained optimization problem is proposed to determine the deformation of the cavity. A reduce space method is used to solve the PDE-constrained optimization problem where design sensitivities were computed using a continuous adjoint approach. A proof-of-concept example is given in which the deformation parameters of a single cavity-cell with two different types of deformation were computed.

  14. CX-004437: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Single-Well Low Temperature Carbon Dioxide-Based Engineered Geothermal SystemCX(s) Applied: A9, B3.1Date: 11/16/2010Location(s): ArizonaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  15. CX-001317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demonstration of a Novel Synchrophasor-Based Situational Awareness System: Wide Area System Visualization (Palo Alto)CX(s) Applied: A9Date: 03/18/2010Location(s): Palo Alto, CaliforniaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  16. CX-100332 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Demonstration of High-Temperature Calcium-Based Thermochemical Storage System for use with Concentrating Solar Power Facilities Award Number: DE-EE0007116 CX(s) Applied: A9, B3.6, B5.17 Solar Energy Technologies Office Date: 08/13/2015 Location(s): NC Office(s): Golden Field Office

  17. CX-100502 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regenerative Carbonate- and Silicate-Based Thermochemical Energy Storage System for Concentrating Solar Power Award Number: DE-EE0006535 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 03/20/2014 Location(s): NC Office(s): Golden Field Office

  18. CX-100411 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    AGENT-BASED COORDINATION SCHEME FOR PV INTEGRATION (ABC4PV) Award Number: DE-EE-0007165 CX(s) Applied: A9, A11 Solar Energy Technologies Office Date: 11/18/2015 Location(s): Pennsylvania Office(s): Golden Field Office

  19. CX-010576: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pacific Northwest National Laboratory- Genset Heat Recovery Adsorption Chiller for Navy Forward Operations Bases CX(s) Applied: B3.6 Date: 04/11/2013 Location(s): Washington, Oregon, Georgia Offices(s): Advanced Research Projects Agency-Energy

  20. CX-005323: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Subtask 2.2 Marine Corps Base Hawaii Site: National Marine Renewable Energy Center in HawaiiCX(s) Applied: A9, B3.1Date: 02/24/2011Location(s): Oahu, HawaiiOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  1. CX-011403: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Evaluating the Potential for Marine and Hydrokinetic Devices to Become Artificial Reefs of Fish Aggregating Devices Based on Analysis of Surrogates in Tropical, Subtropical and Temperate United States West Coast and Hawaiian Coastal Waters CX(s) Applied: A9 Date: 11/15/2013 Location(s): California, Hawaii Offices(s): Golden Field Office

  2. CX-003319: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recovery Act - National Aeronautics and Space Administration Solar Electric Propulsion Technology Application Readiness (NSTAR) Automated Meter Reading (AMR) -Based Dynamic PricingCX(s) Applied: A1, A9, A11, B2.2, B5.1Date: 07/30/2010Location(s): Newton, MassachusettsOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  3. CX-000901: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Wind Resource Study at United States Navy Base, Yokosuka, Japan; National Renewable Energy Laboratory Tracking Number 08-015dCX(s) Applied: B3.1Date: 02/23/2010Location(s): ColoradoOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-009186: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    (0675-1570) Washington University in St. Louis - Optimal Operation and Management of Energy Storage Systems Based on Real-Time Predictive Modeling and Adaptive Battery Management Techniques CX(s) Applied: B3.6 Date: 09/07/2012 Location(s): Missouri, Colorado Offices(s): Advanced Research Projects Agency-Energy

  5. CX-011575: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Using Ionic Liquids for the Development of Renewable Biopolymer-Based Adsorbents for the Extraction of Uranium from Seawater and Testing Under Marine Conditions CX(s) Applied: B3.6 Date: 11/14/2013 Location(s): Alabama Offices(s): Idaho Operations Office

  6. CX-004973: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Treatment and Beneficial Use of Produced Waters Using a Novel Pervaporation-Based Irrigation TechnologyCX(s) Applied: B3.6Date: 01/11/2011Location(s): Laramie, WyomingOffice(s): Fossil Energy, National Energy Technology Laboratory

  7. CX-007055: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Silicon-Nanowire-Based Lithium-ion Batteries with Doubling Energy DensityCX(s) Applied: B3.6Date: 09/19/2011Location(s): Pawcatuck, ConnecticutOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  8. CX-004444: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metallographic Preparation (Section, Mount, Grind, Polish and Optical Metallography) of a U308 Glass Coated Nickel-BaseCX(s) Applied: B3.6Date: 10/29/2010Location(s): Aiken, South CarolinaOffice(s): Savannah River Operations Office

  9. CX-004790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metallographic Preparation (Section, Mount, Grind, Polish and Optical Metallography) of a U308 (Depleted Uranium) Glass Coated Nickel-BaseCX(s) Applied: B3.6Date: 10/29/2010Location(s): Aiken, South CarolinaOffice(s): Savannah River Operations Office

  10. CX-100154 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low-Cost Bio-Based Carbon Fiber for High-Temperature Processing Award Number: DE-EE0005779 CX(s) Applied: B3.6 Date: 12/17/2014 Location(s): OH Office(s): Golden Field Office