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1

NPP Tropical Forest: San Carlos De Rio Negro, Venezuela  

NLE Websites -- All DOE Office Websites (Extended Search)

San Carlos De Rio Negro, Venezuela, 1975-1984 San Carlos De Rio Negro, Venezuela, 1975-1984 [PHOTOGRAPH] Photograph: Cutting an experimental plot at San Carlos (click on the photo to view a series of images and a diagram of this site) Data Citation Cite this data set as follows: Jordan, C. F., E. Cuevas, and E. Medina. 1999. NPP Tropical Forest: San Carlos de Rio Negro, Venezuela, 1975-1984. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. Description Productivity of tropical forest was determined for a number of vegetation-soil associations at the San Carlos de Rio Negro study site, under the auspices of an international UNESCO Man and the Biosphere (MAB) project. The San Carlos study site (1.93 N 67.05 W) is situated 4 km east of the

2

San Carlos Apache Tribe - Energy Organizational Analysis  

SciTech Connect

The San Carlos Apache Tribe (SCAT) was awarded $164,000 in late-2011 by the U.S. Department of Energy (U.S. DOE) Tribal Energy Program's "First Steps Toward Developing Renewable Energy and Energy Efficiency on Tribal Lands" Grant Program. This grant funded: ? The analysis and selection of preferred form(s) of tribal energy organization (this Energy Organization Analysis, hereinafter referred to as "EOA"). ? Start-up staffing and other costs associated with the Phase 1 SCAT energy organization. ? An intern program. ? Staff training. ? Tribal outreach and workshops regarding the new organization and SCAT energy programs and projects, including two annual tribal energy summits (2011 and 2012). This report documents the analysis and selection of preferred form(s) of a tribal energy organization.

Rapp, James; Albert, Steve

2012-04-01T23:59:59.000Z

3

USBIA-San Carlos Project | Open Energy Information  

Open Energy Info (EERE)

Carlos Project Carlos Project Jump to: navigation, search Name USBIA-San Carlos Project Place Arizona Utility Id 19604 Utility Location Yes Ownership F NERC Location WECC NERC WECC Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 150 Watts Each 2 to 5 Commercial 150 Watts Each 6 or more Commercial 150 Watts Each First Commercial 250 Watts Each 2 to 5 Commercial 250 Watts Each 6 or more Commercial 250 Watts Each First Commercial

4

San Carlos, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Carlos, California: Energy Resources Carlos, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.5071591°, -122.2605222° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.5071591,"lon":-122.2605222,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

5

Multi-Determinant Wave-functions in Quantum Monte Carlo  

Science Conference Proceedings (OSTI)

Quantum Monte Carlo methods have received considerable attention over the last decades due to the great promise they have for the direct solution to the many-body Schrodinger equation for electronic systems. Thanks to a low scaling with number of particles, they present one of the best alternatives in the accurate study of large systems and solid state calculations. In spite of such promise, the method has not become popular in the quantum chemistry community, mainly due to the lack of control over the fixed-node error which can be large in many cases. In this article we present the application of large multi-determinant expansions in quantum Monte Carlo, studying its performance with first row dimers and the 55 molecules of the G1 test set. We demonstrate the potential of the wave-function to systematically reduce the fixed-node error in the calculations, achieving chemical accuracy in almost all cases studied. When compared to traditional methods in quantum chemistry, the results show a marked improvement over most methods including MP2, CCSD(T) and DFT with various functionals; in fact the only method able to produce better results is the explicitly-correlated CCSD(T) method with a large basis set. With recent developments in trial wave functions and algorithmic improvements in Quantum Monte Carlo, we are quickly approaching a time where the method can become the standard in the study of large molecular systems and solids.

Morales, Miguel A [Lawrence Livermore National Laboratory (LLNL); Mcminis, Jeremy [University of Illinois, Urbana-Champaign; Clark, Bryan K. [Princeton University; Kim, Jeongnim [ORNL; Scuseria, Gustavo E [Rice University

2012-01-01T23:59:59.000Z

6

Multi-Determinant Wave-functions in Quantum Monte Carlo  

E-Print Network (OSTI)

Quantum Monte Carlo (QMC) methods have received considerable attention over the last decades due to their great promise for providing a direct solution to the many-body Schrodinger equation in electronic systems. Thanks to their low scaling with number of particles, QMC methods present a compelling competitive alternative for the accurate study of large molecular systems and solid state calculations. In spite of such promise, the method has not permeated the quantum chemistry community broadly, mainly because of the fixed-node error, which can be large and whose control is difficult. In this Perspective, we present a systematic application of large scale multi-determinant expansions in QMC, and report on its impressive performance with first row dimers and the 55 molecules of the G1 test set. We demonstrate the potential of this strategy for systematically reducing the fixed-node error in the wave function and for achieving chemical accuracy in energy predictions. When compared to traditional quantum chemistr...

Morales, M A; Clark, B K; Kim, J; Scuseria, G; 10.1021/ct3003404

2013-01-01T23:59:59.000Z

7

Lattice Monte Carlo Determination of Harrison Kinetics Regimes for ...  

Science Conference Proceedings (OSTI)

Conference Tools for 2012 TMS Annual Meeting & Exhibition ... Cluster Expansion Methods - Progress and Outlook Coarsening of Bicontinuous Two- Phase ... Fully Ab Initio Determination of Free Energies: Where Do We Stand? Generalized...

8

EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:City of San Antonio  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

'. u.s. DEPARTMENT OF ENERGY '. u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:City of San Antonio Page I of2 STATE : TX PROJECT TITLE: Texas Solar Collaboration to Streamline and Enable An Increase in Photovoltaic Capacity Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CIO Number DE-FOA-OOOO549 . DE-EE(XK}5702 GFO-OOO5702-OO1 0 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.IA), I have made the follOwing determination: ex, EA, EIS APPENDIX AND NUMBER: Description: A11 Technical advice and assistance to organizations Technical advice and planning assistance to international, national, state, and local organizations.

9

Relative Damaging Ability Of Galactic Cosmic Rays Determined Using Monte Carlo Simulations Of Track Structure  

E-Print Network (OSTI)

The energy deposition characteristics of heavy ions vary substantially compared to those of photons. Many radiation biology studies have compared the damaging effects of different types of radiation to establish relative biological effectiveness among them. These studies are dependent on cell type, biological endpoint, radiation type, dose, and dose rate. The radiation field found in space is much more complicated than that simulated in most experiments, both from a point of dose-rate as well as the highly mixed field of radiative particles encompassing a broad spectrum of energies. To establish better estimates for radiation risks on long-term, deep space missions, the damaging ability of heavy ions requires further understanding. Track structure studies provide significant details about the spatial distribution of energy deposition events in and around the sensitive targets of a mammalian cell. The damage imparted by one heavy ion relative to another can be established by modeling the track structures of ions that make up the galactic cosmic ray (GCR) spectrum and emphasizing biologically relevant target geometries. This research was undertaken to provide a better understanding of the damaging ability of GCR at the cellular level. By comparing ions with equal stopping power values, the differences in track structure will illuminate variations in cell particle traversals and ionization density within cell nuclei. For a cellular target, increased particle traversals, along with increased ionization density, are key identifiers for increased damaging ability. Performing Monte Carlo simulations with the computer code, FLUKA, this research will provide cellular dosimetry data and detail the track structure of the ions. As shown in radiobiology studies, increased ionizations within a cell nucleus generally lead to increased DNA breaks and increased free radical production, resulting in increased carcinogenesis and cell death. The spatial distribution of dose surrounding ions tracks are compared for inter- and intracellular regions. A comparison can be made for many different ions based upon dose and particle fluence across those different regions to predict relative damaging ability. This information can be used to improve estimates for radiation quality and dose equivalent from the space radiation environment.

Cox, Bradley

2011-08-01T23:59:59.000Z

10

City of San Carlos Building Division  

E-Print Network (OSTI)

Residential: The construction of R2, R3, R3.1, and R4 buildings, except hotels and motels. C. Residential of any or all utilities (water, electrical, natural gas, or sewer); or the project provided no permanent

11

SANS TRAINING  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SANS Training Voucher Program Registration Procedures For Federal Employees/Contractors Process: Currently, under this program, the OCIO will cover only registration fees for SANS courses. All travel costs are the responsibility of the Federal Employee/Contractor's employing organization. Every effort must be made to complete classes within the allotted time frame. Extension of on-line courses may be granted by SANS; however, this expense is to be covered by the employing organization. The employing organization must also reimburse the OCIO fees for any registered course the student does not complete. In addition, the OCIO will not pay for certification. Costs for certification testing related to the training must be covered by the employee or employing organization and submitted to SANS directly, no through the OCIO

12

CX-000118: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Categorical Exclusion Determination 8: Categorical Exclusion Determination CX-000118: Categorical Exclusion Determination San Carlos Apache Tribe of the San Carlos Reservation Energy Audits Energy Efficiency Retrofits CX(s) Applied: B2.5, B5.1, A1 Date: 12/07/2009 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy Under a separately funded Energy Efficiency and Conservation Block Grant (EECBG) activity, the tribal Energy Auditor will identify, determine and recommend lighting retrofits for tribal buildings and low-income homes. EECBG funding will be used to purchase necessary energy-efficient light bulbs for both commercial and residential units. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000118.pdf More Documents & Publications CX-000119: Categorical Exclusion Determination

13

CX-008186: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6: Categorical Exclusion Determination 6: Categorical Exclusion Determination CX-008186: Categorical Exclusion Determination Arizona TRIBE-SAN CARLOS APACHE TRIBE CX(s) Applied: B2.5, B5.1, B5.16 Date: 04/03/2012 Location(s): Arizona Offices(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant. The San Carlos Apache Tribe of Arizona proposes to 1) conduct energy efficient building retrofits to the Shelter Care Building which includes replacing current lighting with compact fluorescent lights, installing attic insulation, sealing and insulating around vents and pipes, and conducting simple weatherization activities; and 2) installing an approximate 17 kilowatt solar photovoltaic system on the Shelter Care Building. U.S. Department of Energy NEPA Categorical Exclusion Determination Form

14

Categorical Exclusion Determinations: Native American and Alaskan Native  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 7, 2009 December 7, 2009 CX-000111: Categorical Exclusion Determination Koniag Incorporated Renewable Energy Technologies - Solar CX(s) Applied: B3.6, B5.1 Date: 12/07/2009 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy December 7, 2009 CX-000032: Categorical Exclusion Determination Pueblo of Tesuque Energy Efficiency Retrofits CX(s) Applied: B5.1, B2.5, A1 Date: 12/07/2009 Location(s): Tesuque, New Mexico Office(s): Energy Efficiency and Renewable Energy December 7, 2009 CX-000119: Categorical Exclusion Determination San Carlos Apache Tribe of the San Carlos Reservation Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 12/07/2009 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy December 7, 2009 CX-000118: Categorical Exclusion Determination

15

CX-000117: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7: Categorical Exclusion Determination 7: Categorical Exclusion Determination CX-000117: Categorical Exclusion Determination San Carlos Apache Tribe of the San Carlos Reservation Energy Audits CX(s) Applied: B5.1, A9 Date: 12/07/2009 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy The tribe proposes to hire an individual and provide energy audit training to create an Energy Auditor position. The project will perform energy audits for local commercial and low-income residential units. The auditor will be funded to perform audits throughout the term of the Energy Efficiency and Conservation Block Grant Program grant. Supplies to support energy efficiency audits will also be purchased. In their auditing capacity, the auditor will also distribute energy conservation flyers to

16

San Diego Bay Bibliography  

E-Print Network (OSTI)

SDGE power plant; bay ABSTRACT: The marine organisms ofMarine Research KEYWORDS: San Diego Bay; programs; bay South Bay PowerMarine Organisms of South San Diego Bay and the Ecological Effects of Power

Brueggeman, Peter

1994-01-01T23:59:59.000Z

17

Experimental determination of the radial dose distribution in high gradient regions around {sup 192}Ir wires: Comparison of electron paramagnetic resonance imaging, films, and Monte Carlo simulations  

SciTech Connect

Purpose: The experimental determination of doses at proximal distances from radioactive sources is difficult because of the steepness of the dose gradient. The goal of this study was to determine the relative radial dose distribution for a low dose rate {sup 192}Ir wire source using electron paramagnetic resonance imaging (EPRI) and to compare the results to those obtained using Gafchromic EBT film dosimetry and Monte Carlo (MC) simulations. Methods: Lithium formate and ammonium formate were chosen as the EPR dosimetric materials and were used to form cylindrical phantoms. The dose distribution of the stable radiation-induced free radicals in the lithium formate and ammonium formate phantoms was assessed by EPRI. EBT films were also inserted inside in ammonium formate phantoms for comparison. MC simulation was performed using the MCNP4C2 software code. Results: The radical signal in irradiated ammonium formate is contained in a single narrow EPR line, with an EPR peak-to-peak linewidth narrower than that of lithium formate ({approx}0.64 and 1.4 mT, respectively). The spatial resolution of EPR images was enhanced by a factor of 2.3 using ammonium formate compared to lithium formate because its linewidth is about 0.75 mT narrower than that of lithium formate. The EPRI results were consistent to within 1% with those of Gafchromic EBT films and MC simulations at distances from 1.0 to 2.9 mm. The radial dose values obtained by EPRI were about 4% lower at distances from 2.9 to 4.0 mm than those determined by MC simulation and EBT film dosimetry. Conclusions: Ammonium formate is a suitable material under certain conditions for use in brachytherapy dosimetry using EPRI. In this study, the authors demonstrated that the EPRI technique allows the estimation of the relative radial dose distribution at short distances for a {sup 192}Ir wire source.

Kolbun, N.; Leveque, Ph.; Abboud, F.; Bol, A.; Vynckier, S.; Gallez, B. [Biomedical Magnetic Resonance Unit, Louvain Drug Research Institute, Universite catholique de Louvain, Avenue Mounier 73.40, B-1200 Brussels (Belgium); Molecular Imaging and Experimental Radiotherapy Unit, Institute of Experimental and Clinical Research, Universite catholique de Louvain, Avenue Hippocrate 55, B-1200 Brussels (Belgium); Biomedical Magnetic Resonance Unit, Louvain Drug Research Institute, Universite catholique de Louvain, Avenue Mounier 73.40, B-1200 Brussels (Belgium)

2010-10-15T23:59:59.000Z

18

Recipient: City of San Antonio, Texas ENERGY EFFICIENCY AND CONSERVATI...  

NLE Websites -- All DOE Office Websites (Extended Search)

970 Recipient: City of San Antonio, Texas ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM Activities Determination Categorical Exclusion Reviewer's Specific...

19

SANS Training Voucher Program Registration Procedures | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SANS Training Voucher Program Registration Procedures SANS Training Voucher Program Registration Procedures SANS Training Voucher Program Registration Procedures For Federal...

20

SANS Publications - 2009  

Science Conference Proceedings (OSTI)

... 11, Characterization of the CO2 fluid adsorption in coal as a function of pressure using neutron scattering techniques (SANS and USANS), YB ...

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


21

SANS Publications - 2012  

Science Conference Proceedings (OSTI)

... 45, Porosity of coal and shale: Insights from gas adsorption and SANS/USANS techniques, M. Mastalerz, L. He, YB Melnichenko, JA Rupp, Energy & ...

22

San Luis Transmission Project  

NLE Websites -- All DOE Office Websites (Extended Search)

Luis Transmission Project EIS/EIR Luis Transmission Project EIS/EIR San Luis Transmission Project EIS/EIR Western proposes to construct, own, operate, and maintain a new 230-kilovolt transmission line about 62 miles in length between Western's Tracy Substation and Western's San Luis Substation and a new 70-kV transmission line about 5 miles in length between the San Luis and O'Neill Substations. Western also will consider other transmission construction options including: A new 500-kV transmission line about 62 miles in length operated at 230-kV between Western's Tracy and San Luis Substations; A new 500-kV transmission line operated at 500-kV about 62 miles in length between the Tracy Substation and Pacific Gas and Electric's Los Banos Substation; and A new 230-kV transmission line about 18 miles in length between San Luis Substation and Dos Amigos Substation.

23

COUNTY OF SAN DIEGO Energy Upgrade San Diego  

E-Print Network (OSTI)

) $ 60,250 San Diego Co. Water Authority (building owner incentives) $ 150,000 San Diego EnergySoft CalCerts, Inc. Strategic Energy Innovations Manpower CBPCA Partnering Clean EnergyCOUNTY OF SAN DIEGO Energy Upgrade San Diego Summary Sheet ARRA EECBG Discretionary Funding

24

Population Monte Carlo algorithms  

E-Print Network (OSTI)

We give a cross-disciplinary survey on ``population'' Monte Carlo algorithms. In these algorithms, a set of ``walkers'' or ``particles'' is used as a representation of a high-dimensional vector. The computation is carried out by a random walk and split/deletion of these objects. The algorithms are developed in various fields in physics and statistical sciences and called by lots of different terms -- ``quantum Monte Carlo'', ``transfer-matrix Monte Carlo'', ``Monte Carlo filter (particle filter)'',``sequential Monte Carlo'' and ``PERM'' etc. Here we discuss them in a coherent framework. We also touch on related algorithms -- genetic algorithms and annealed importance sampling.

Yukito IBA

2000-08-16T23:59:59.000Z

25

San Carlos de Rio Negro Site Image #1  

NLE Websites -- All DOE Office Websites (Extended Search)

nutrient dynamics during slash-and-burn agriculture on an Oxisol. Photograph taken September 1976; reproduced by kind permission of Prof. C.F. Jordan, University of Georgia, USA...

26

San Eusebio Image #1  

NLE Websites -- All DOE Office Websites (Extended Search)

SES-1: General overview of the San Eusebio tropical montane forest study area, Venezuela. (Photograph taken 1973-74 by Dr. H.W. Fassbender, Fachhochschule HildesheimHolzminden,...

27

Application of Monte Carlo-based statistical significance determinations to the Beta Cephei stars V400 Car, V401 Car, V403 Car and V405 Car  

E-Print Network (OSTI)

We have used Lomb-Scargle periodogram analysis and Monte Carlo significance tests to detect periodicities above the 3-sigma level in the Beta Cephei stars V400 Car, V401 Car, V403 Car and V405 Car. These methods produce six previously unreported periodicities in the expected frequency range of excited pulsations: one in V400 Car, three in V401 Car, one in V403 Car and one in V405 Car. One of these six frequencies is significant above the 4-sigma level. We provide statistical significances for all of the periodicities found in these four stars.

Engelbrecht, C A; Frank, B S

2009-01-01T23:59:59.000Z

28

San Francisco Biodiesel | Open Energy Information  

Open Energy Info (EERE)

San Francisco Biodiesel Place San Francisco, California Zip 94103 Product Biodiesel producer based in California. The company is a community coop References San Francisco...

29

Monte Carlo fundamentals  

SciTech Connect

This report is composed of the lecture notes from the first half of a 32-hour graduate-level course on Monte Carlo methods offered at KAPL. These notes, prepared by two of the principle developers of KAPL`s RACER Monte Carlo code, cover the fundamental theory, concepts, and practices for Monte Carlo analysis. In particular, a thorough grounding in the basic fundamentals of Monte Carlo methods is presented, including random number generation, random sampling, the Monte Carlo approach to solving transport problems, computational geometry, collision physics, tallies, and eigenvalue calculations. Furthermore, modern computational algorithms for vector and parallel approaches to Monte Carlo calculations are covered in detail, including fundamental parallel and vector concepts, the event-based algorithm, master/slave schemes, parallel scaling laws, and portability issues.

Brown, F.B.; Sutton, T.M.

1996-02-01T23:59:59.000Z

30

Quantum Monte Carlo for  

NLE Websites -- All DOE Office Websites (Extended Search)

Quantum Monte Carlo for the Electronic Structure of Atoms and Molecules Brian Austin Lester Group, U.C. Berkeley BES Requirements Workshop Rockville, MD February 9, 2010 Outline...

31

Recipient: County of San Bernadino,CA  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Recipient: County of San Bernadino,CA Recipient: County of San Bernadino,CA Award #: EE 000 0903 ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM Activities Determination/ Categorical Exclusion Reviewer's Specific Instructions and Rationale (Restrictions and Allowable Activity) Greenhouse Gas Emissions Reduction Plan Environmental Impact Report (EECS) A9, All None - this NEPA determination is for the report only. Solar Electric System for Rancho Cucamonga County Office Building A9, All Waste Stream Clause Historic Preservation Clause Engineering Clause **This NEPA determination is limited to a roof-mounted system only. County Heating Ventilation and Air-Condition (HVAC) Retrofit Program B5.1 Waste Stream Clause Historic Preservation Clause Engineering clause Solar Electric System for High Desert Government Center

32

CX-001765: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Determination CX-001765: Categorical Exclusion Determination San Ramon Light-Emitting Diode Street Light Conversion CX(s) Applied: B5.1 Date: 04222010 Location(s): San...

33

CX-003388: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determination CX-003388: Categorical Exclusion Determination San Francisco Electric Vehicle Initiative CX(s) Applied: A9, A11, B5.1 Date: 08112010 Location(s): San...

34

San Francisco Operations Office  

Office of Legacy Management (LM)

San Francisco Operations Office San Francisco Operations Office 1333 Broadway Oakland, California 94612 Dr. Joseph 0. Ward, Chief Radiological Health Section Department of Health Services 744 P Street Sacramento, California, 95814 SUBJECT: Certification Docket of Gilman Hall Dear Dr. Ward: The Department of Energy (DOE) has completed and reviewed the remedial ac- tions of Gilman Hall located at the University of California, Berkeley, California. Based on this review, DOE certifies that the condition of Gilman Hall is radiologically acceptable for restricted use under the con- trols of the University of California's State General License 1333-62 pro- vided that the University's Office of Environmental Health and Safety con- tinues to survey Gilman Hall and monitor whenever remodeling or renovation

35

NIST CNR SANS NG7 30 Meter SANS Instrument  

Science Conference Proceedings (OSTI)

... 7, Characterization of the CO2 fluid adsorption in coal as a function of pressure using neutron scattering techniques (SANS and USANS), YB ...

36

Better Buildings Partners: San Diego  

NLE Websites -- All DOE Office Websites (Extended Search)

GreenBuild Conference in San Francisco to the Sacramento Municipal Utility District's homeowner workshop, the roadshow staff engaged thousands of Californians in a quest to make...

37

Better Buildings Partners: San Jose  

NLE Websites -- All DOE Office Websites (Extended Search)

Residential Energy Efficiency Solutions Conference Since May 2011, Better Buildings Program San Jose (BBPSJ) and its community partners have offered affordable energy...

38

Better Buildings Neighborhood Program: San Antonio, Texas  

NLE Websites -- All DOE Office Websites (Extended Search)

Antonio, Texas to someone by E-mail Share Better Buildings Neighborhood Program: San Antonio, Texas on Facebook Tweet about Better Buildings Neighborhood Program: San Antonio,...

39

Monte Carlo Neutrino Oscillations  

E-Print Network (OSTI)

We demonstrate that the effects of matter upon neutrino propagation may be recast as the scattering of the initial neutrino wavefunction. Exchanging the differential, Schrodinger equation for an integral equation for the scattering matrix S permits a Monte Carlo method for the computation of S that removes many of the numerical difficulties associated with direct integration techniques.

James P. Kneller; Gail C. McLaughlin

2005-09-29T23:59:59.000Z

40

Better Buildings Neighborhood Program: San Jose  

NLE Websites -- All DOE Office Websites (Extended Search)

San Jose to San Jose to someone by E-mail Share Better Buildings Neighborhood Program: San Jose on Facebook Tweet about Better Buildings Neighborhood Program: San Jose on Twitter Bookmark Better Buildings Neighborhood Program: San Jose on Google Bookmark Better Buildings Neighborhood Program: San Jose on Delicious Rank Better Buildings Neighborhood Program: San Jose on Digg Find More places to share Better Buildings Neighborhood Program: San Jose on AddThis.com... Better Buildings Residential Network Progress Stories Interviews Videos Events Quick Links to Partner Information AL | AZ | CA | CO | CT FL | GA | IL | IN | LA ME | MD | MA | MI | MO NE | NV | NH | NJ | NY NC | OH | OR | PA | SC TN | TX | VT | VI | VA WA | WI San Jose, California San Jose Leverages Partnerships to Improve Low-Income Households' Energy

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


41

San Antonio Mountain Experiment (SAMEX)  

Science Conference Proceedings (OSTI)

The San Antonio Mountain Experiment (SAMEX) involves a 3325 m. conically shaped, isolated mountain in north-central New Mexico where hourly observations of temperature, relative humidity, wind speed, wind direction, and precipitation are being ...

Morris H. McCutchan; Douglas G. Fox; R. William Furman

1982-10-01T23:59:59.000Z

42

Workshop For Analyzing SANS Data  

NLE Websites -- All DOE Office Websites (Extended Search)

HFIR Center for Neutron Scattering HFIR Center for Neutron Scattering Workshop for Analyzing SANS Data April 18 - 20, 2011 SNS Logo Spallation Neutron Source * Oak Ridge National Laboratory * Oak Ridge TN, USA Workshop Home Workshop Agenda Information Contacts Pre-Workshop Installation & Reading filler Workshop summary and purpose Since its inception the BIO-SANS and GP-SANS instruments have supported over 440 unique users and thus a need arose to supply users with additional support via data analysis and reduction to expedite the publication of new science. A continuation of this kind of user support is being done by our upcoming workshop to help past users reduce and analyze data from our SANS instruments using the established data acquisition software. We will be using Igor Pro and our in house routines to do the data reduction and fitting. The goal is that everyone who attends will leave the workshop with completely analyzed data and meaningful results. To accomplish this feat, we will focus the first day on data reduction and the following two days on analysis. We will go over in detail all the different fitting functions that are currently supported in Igor and set-aside time to discuss what other functions need to be inputted into Igor. Finally, there will be a demonstration of the new NSSD data reduction/analysis software, MANTID, that will be implemented in the near future across the SANS beam lines.

43

Energy San Francisco Operations Office  

Office of Legacy Management (LM)

Depariment of ' Depariment of ' Energy San Francisco Operations Office 1333 Broadway Oakland, California 94612 FEB 6 1984 Mr. c:c. canners Energy Systems Group Rockwell International Corporation Post Office BOX 309 Canoga Park Dear 8 a CA 91304 G ers : Remedial action was taken to decontaminate the Hot Cave (Building 003) and Sodium Reactor Experiment (SRE) under Contract No. DE-AT03-76SF75008. The report of the post remedial survey, performed by Argonne National Laboratory, indicates that the levels of contamination are below the decontamination criteria agreed to between the State of California and DOE/SAN. Based on- this report and the enclosed letter from J. E. Baublitz to Dr. Wynveen, DOE/SAN is releasing for unrestricted use Building 003 and the SRE. Sincerely,

44

Better Buildings Neighborhood Program: San Diego  

NLE Websites -- All DOE Office Websites (Extended Search)

Diego to Diego to someone by E-mail Share Better Buildings Neighborhood Program: San Diego on Facebook Tweet about Better Buildings Neighborhood Program: San Diego on Twitter Bookmark Better Buildings Neighborhood Program: San Diego on Google Bookmark Better Buildings Neighborhood Program: San Diego on Delicious Rank Better Buildings Neighborhood Program: San Diego on Digg Find More places to share Better Buildings Neighborhood Program: San Diego on AddThis.com... Better Buildings Residential Network Progress Stories Interviews Videos Events Quick Links to Partner Information AL | AZ | CA | CO | CT FL | GA | IL | IN | LA ME | MD | MA | MI | MO NE | NV | NH | NJ | NY NC | OH | OR | PA | SC TN | TX | VT | VI | VA WA | WI San Diego County, California Energy Upgrade California Motivates Home Improvements in San Diego County

45

Solar America City - San Diego, California  

DOE Green Energy (OSTI)

This fact sheet highlights San Diego, California, as a DOE Solar America City. Through various collaborations at the local level, San Diego has a goal of 50 megawatts of solar installed by 2010.

Not Available

2008-05-01T23:59:59.000Z

46

San Diego County - Wind Regulations (California) | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wind Regulations (California) San Diego County - Wind Regulations (California) < Back Eligibility Commercial Industrial Residential Savings Category Wind Buying & Making...

47

Monte Carlo Simulation for Particle Detectors  

E-Print Network (OSTI)

Monte Carlo simulation is an essential component of experimental particle physics in all the phases of its life-cycle: the investigation of the physics reach of detector concepts, the design of facilities and detectors, the development and optimization of data reconstruction software, the data analysis for the production of physics results. This note briefly outlines some research topics related to Monte Carlo simulation, that are relevant to future experimental perspectives in particle physics. The focus is on physics aspects: conceptual progress beyond current particle transport schemes, the incorporation of materials science knowledge relevant to novel detection technologies, functionality to model radiation damage, the capability for multi-scale simulation, quantitative validation and uncertainty quantification to determine the predictive power of simulation. The R&D on simulation for future detectors would profit from cooperation within various components of the particle physics community, and synerg...

Pia, Maria Grazia

2012-01-01T23:59:59.000Z

48

SOUTHWEST RESEARCH INSTITUTE San Antonio, Texas  

E-Print Network (OSTI)

SOUTHWEST RESEARCH INSTITUTE San Antonio, Texas July 2010 ii #12;SOUTHWEST RESEARCH INSTITUTE San Antonio, Texas July 2010 iii Abstracts of Test Procedures FUELS FUEL ADDITIVES & FUEL ECONOMY Performed by The Office of Automotive Engineering Southwest Research Institute® San Antonio, Texas July 2010 #12;SOUTHWEST

Chapman, Clark R.

49

CX-003804: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determination Recovery Act: San Bernardino Associated Government Natural Gas Truck Project (Orange, California Infrastructure Modification) CX(s) Applied: B5.1 Date:...

50

Monte Carlo Methods and Partial Differential Equations ...  

Science Conference Proceedings (OSTI)

... Up, Monte Carlo Methods and Partial Differential Equations: Algorithms and Implications for High-Performance Computing. ...

2013-08-16T23:59:59.000Z

51

San Andreas Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

San Andreas Geothermal Region San Andreas Geothermal Region (Redirected from San Andreas) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home San Andreas Geothermal Region Details Areas (4) Power Plants (0) Projects (0) Techniques (1) Map: {{{Name}}} The topographic texture of western California is controlled by the San Andreas fault system, the tectonic expression of the Pacific Plate sliding northwestward along the western margin of the North American Plate. Hundreds of miles long and in places up to a mile wide, the San Andreas Fault Zone has been active since its origin in the Tertiary. About 10 percent of the present plate motion is compressional, shortening and wrinkling the crust to create the parallel coastal northwest-southeast mountain ranges. USGS Physiographic Regions[1]

52

EIS-0496: San Luis Transmission Project, Alameda, Merced, San Joaquin and  

NLE Websites -- All DOE Office Websites (Extended Search)

96: San Luis Transmission Project, Alameda, Merced, San 96: San Luis Transmission Project, Alameda, Merced, San Joaquin and Stanislaus Counties, California EIS-0496: San Luis Transmission Project, Alameda, Merced, San Joaquin and Stanislaus Counties, California Summary DOE's Western Area Power Administration, with the Bureau of Reclamation as a cooperating agency, is preparing a joint EIS and environmental impact report (under the California Environmental Quality Act) to evaluate the potential environmental impacts of the proposed interconnection of certain San Luis Unit facilities to Western's Central Valley Project Transmission System. Western proposes at a minimum to construct, own, operate, and maintain a new 230-kilovolt (kV) transmission line about 62 miles in length between Western's Tracy Substation and Western's San Luis Substation and a

53

2009 Race to San Francisco | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

9 Race to San Francisco Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial...

54

DOE Sustainability Assistance Network (SAN) Notes, Thursday,...  

NLE Websites -- All DOE Office Websites (Extended Search)

Page 1 of 4 DOE Sustainability Assistance Network (SAN) Notes Thursday, November 15, 2012 1. Sustainability Performance Office Highlights Paul Estabrooks, SPO The Sustainability...

55

California - San Joaquin Basin Onshore Nonassociated Natural...  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation,...

56

Better Buildings Neighborhood Program: San Jose, California,...  

NLE Websites -- All DOE Office Websites (Extended Search)

Jose, California, Partners With Established Community Groups to Win Over Homeowners to someone by E-mail Share Better Buildings Neighborhood Program: San Jose, California, Partners...

57

,"California - San Joaquin Basin Onshore Nonassociated Natural...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation,...

58

San Antonio spurs increase in solar energy production | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Antonio spurs increase in solar energy production San Antonio spurs increase in solar energy production January 13, 2010 - 4:54pm Addthis San Antonio is using these unique...

59

2012 National Electric Transmission Congestion Study - San Diego...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Diego Workshop 2012 National Electric Transmission Congestion Study - San Diego Workshop On December 15, 2011, DOE hosted a regional pre-study workshop in San Diego, CA to...

60

Documentation for EQ-SANS | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

the usage of high-speed choppers in the future. Optical Components for the EQ-SANS Diffractometer Supplement documentation Manuals Data collection on EQ-SANS EQ-SANS Cheat Sheet...

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


61

San Diego Solar Panels Generate Clean Electricity Along with...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Diego Solar Panels Generate Clean Electricity Along with Clean Water San Diego Solar Panels Generate Clean Electricity Along with Clean Water May 26, 2010 - 12:11pm Addthis San...

62

Solar Fair in San Jos Tomorrow | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Solar Fair in San Jos Tomorrow Solar Fair in San Jos Tomorrow April 29, 2011 - 12:53pm Addthis Solar panels on display at the the San Jose Solar and Energy Efficiency Fair |...

63

Introduction to the EQ-SANS Workshop (EQSANS 2011)  

NLE Websites -- All DOE Office Websites (Extended Search)

Summary Purpose Schedule Important Dates Application Form Contact Information EQ-SANS at SNS filler Workshop Summary The EQ-SANS is the newest small-angle neutron scattering (SANS)...

64

Quantum Monte Carlo for atoms and molecules  

DOE Green Energy (OSTI)

The diffusion quantum Monte Carlo with fixed nodes (QMC) approach has been employed in studying energy-eigenstates for 1--4 electron systems. Previous work employing the diffusion QMC technique yielded energies of high quality for H{sub 2}, LiH, Li{sub 2}, and H{sub 2}O. Here, the range of calculations with this new approach has been extended to include additional first-row atoms and molecules. In addition, improvements in the previously computed fixed-node energies of LiH, Li{sub 2}, and H{sub 2}O have been obtained using more accurate trial functions. All computations were performed within, but are not limited to, the Born-Oppenheimer approximation. In our computations, the effects of variation of Monte Carlo parameters on the QMC solution of the Schroedinger equation were studied extensively. These parameters include the time step, renormalization time and nodal structure. These studies have been very useful in determining which choices of such parameters will yield accurate QMC energies most efficiently. Generally, very accurate energies (90--100% of the correlation energy is obtained) have been computed with single-determinant trail functions multiplied by simple correlation functions. Improvements in accuracy should be readily obtained using more complex trial functions.

Barnett, R.N.

1989-11-01T23:59:59.000Z

65

Monte Carlo algorithms for evaluating Sobol' sensitivity indices  

Science Conference Proceedings (OSTI)

Sensitivity analysis is a powerful technique used to determine robustness, reliability and efficiency of a model. The main problem in this procedure is the evaluating total sensitivity indices that measure a parameter's main effect and all the interactions ... Keywords: Adaptive Monte Carlo algorithm, Global sensitivity indices, Multidimensional numerical integration, Sensitivity analysis

I. Dimov; R. Georgieva

2010-11-01T23:59:59.000Z

66

A Monte Carlo electron transport code for the desktop computer  

Science Conference Proceedings (OSTI)

A Monte Carlo electron transport code for the desktop computer is applied to the problem of determining the radiation dose throughout an oblique?surface heterogeneous medium. Absorbed?dose distributions are obtained for 10 MeV electrons incident upon flat?surface and oblique?surface water phantoms

1992-01-01T23:59:59.000Z

67

Monte Carlo Methods in Chemistry  

Science Conference Proceedings (OSTI)

Monte Carlo methods fulfil an important dual role. At a specific level, they provide a general-purpose numerical approach to problems in a wide range of topics. Using such methods, we can explore the characteristics of specific systems without introducing ...

Jim Doll; David L. Freeman

1994-03-01T23:59:59.000Z

68

San Diego, CA Liquefied Natural Gas Exports to Mexico (Dollars...  

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

San Diego, CA Liquefied Natural Gas Exports to Mexico (Dollars per Thousand Cubic Feet) San Diego, CA Liquefied Natural Gas Exports to Mexico (Dollars per Thousand Cubic Feet)...

69

City of San Marcos - Energy Efficient Home Rebate Program (Texas...  

Open Energy Info (EERE)

City of San Marcos, Texas (Utility Company), Name City of San Marcos - Energy Efficient Home Rebate Program (Texas) Incentive Type Utility Rebate Program Applicable Sector...

70

Ground Gravity Survey At San Francisco Volcanic Field Area (Warpinski...  

Open Energy Info (EERE)

Ground Gravity Survey At San Francisco Volcanic Field Area (Warpinski, Et Al., 2004) Exploration Activity Details Location San Francisco Volcanic Field Area Exploration Technique...

71

California--San Joaquin Basin Onshore Natural Gas Plant Liquids...  

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

San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million Barrels) California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million...

72

City of San Antonio - Green Building Requirement | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Antonio - Green Building Requirement City of San Antonio - Green Building Requirement Eligibility Commercial Industrial Multi-Family Residential Residential Savings For Heating...

73

Refraction Survey At San Emidio Desert Area (DOE GTP) | Open...  

Open Energy Info (EERE)

San Emidio Desert Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Refraction Survey At San Emidio Desert Area (DOE GTP)...

74

Presentations from San Antonio, Texas Workshop - June 9, 2012...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Presentations from San Antonio, Texas Workshop - June 9, 2012 Presentations from San Antonio, Texas Workshop - June 9, 2012 Presentations given at the American Society for...

75

Quantum Monte Carlo for vibrating molecules  

SciTech Connect

Quantum Monte Carlo (QMC) has successfully computed the total electronic energies of atoms and molecules. The main goal of this work is to use correlation function quantum Monte Carlo (CFQMC) to compute the vibrational state energies of molecules given a potential energy surface (PES). In CFQMC, an ensemble of random walkers simulate the diffusion and branching processes of the imaginary-time time dependent Schroedinger equation in order to evaluate the matrix elements. The program QMCVIB was written to perform multi-state VMC and CFQMC calculations and employed for several calculations of the H{sub 2}O and C{sub 3} vibrational states, using 7 PES`s, 3 trial wavefunction forms, two methods of non-linear basis function parameter optimization, and on both serial and parallel computers. In order to construct accurate trial wavefunctions different wavefunctions forms were required for H{sub 2}O and C{sub 3}. In order to construct accurate trial wavefunctions for C{sub 3}, the non-linear parameters were optimized with respect to the sum of the energies of several low-lying vibrational states. In order to stabilize the statistical error estimates for C{sub 3} the Monte Carlo data was collected into blocks. Accurate vibrational state energies were computed using both serial and parallel QMCVIB programs. Comparison of vibrational state energies computed from the three C{sub 3} PES`s suggested that a non-linear equilibrium geometry PES is the most accurate and that discrete potential representations may be used to conveniently determine vibrational state energies.

Brown, W.R. [Univ. of California, Berkeley, CA (United States). Chemistry Dept.]|[Lawrence Berkeley National Lab., CA (United States). Chemical Sciences Div.

1996-08-01T23:59:59.000Z

76

EIS-0477: San Juan Basin Energy Connect Project, San Juan County, New  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7: San Juan Basin Energy Connect Project, San Juan County, 7: San Juan Basin Energy Connect Project, San Juan County, New Mexico and La Plata County, Colorado EIS-0477: San Juan Basin Energy Connect Project, San Juan County, New Mexico and La Plata County, Colorado SUMMARY The Department of the Interior's Bureau of Land Management is preparing this EIS to evaluate the environmental impacts of a proposal to construct a 230-kilovolt transmission line from the Farmington area in northwest New Mexico to Ignacio, Colorado, to relieve transmission constraints, serve new loads, and offer economic development through renewable energy development in the San Juan Basin. DOE's Western Area Power Administration is a cooperating agency; the proposed transmission line would require an interconnection with Western's Shiprock Substation, near Farmington.

77

San Andreas Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

San Andreas Geothermal Region San Andreas Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home San Andreas Geothermal Region Details Areas (4) Power Plants (0) Projects (0) Techniques (1) Map: {{{Name}}} The topographic texture of western California is controlled by the San Andreas fault system, the tectonic expression of the Pacific Plate sliding northwestward along the western margin of the North American Plate. Hundreds of miles long and in places up to a mile wide, the San Andreas Fault Zone has been active since its origin in the Tertiary. About 10 percent of the present plate motion is compressional, shortening and wrinkling the crust to create the parallel coastal northwest-southeast mountain ranges. USGS Physiographic Regions[1] References ↑ "USGS Physiographic Regions"

78

Alternative Fuels Data Center: San Diego Leads in Promoting EVs  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

San Diego Leads in San Diego Leads in Promoting EVs to someone by E-mail Share Alternative Fuels Data Center: San Diego Leads in Promoting EVs on Facebook Tweet about Alternative Fuels Data Center: San Diego Leads in Promoting EVs on Twitter Bookmark Alternative Fuels Data Center: San Diego Leads in Promoting EVs on Google Bookmark Alternative Fuels Data Center: San Diego Leads in Promoting EVs on Delicious Rank Alternative Fuels Data Center: San Diego Leads in Promoting EVs on Digg Find More places to share Alternative Fuels Data Center: San Diego Leads in Promoting EVs on AddThis.com... Sept. 3, 2011 San Diego Leads in Promoting EVs W atch how San Diego is leading the way in promoting electric vehicles. For information about this project, contact San Diego Regional Clean Cities

79

Category:San Francisco, CA | Open Energy Information  

Open Energy Info (EERE)

CA CA Jump to: navigation, search Go Back to PV Economics By Location Media in category "San Francisco, CA" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant San Francisco CA Southern California Edison Co.png SVFullServiceRestauran... 71 KB SVMidriseApartment San Francisco CA Southern California Edison Co.png SVMidriseApartment San... 65 KB SVPrimarySchool San Francisco CA Southern California Edison Co.png SVPrimarySchool San Fr... 70 KB SVQuickServiceRestaurant San Francisco CA Southern California Edison Co.png SVQuickServiceRestaura... 66 KB SVSecondarySchool San Francisco CA Southern California Edison Co.png SVSecondarySchool San ... 65 KB SVStandAloneRetail San Francisco CA Southern California Edison Co.png SVStandAloneRetail San...

80

California - San Joaquin Basin Onshore Crude Oil Estimated ...  

U.S. Energy Information Administration (EIA)

California - San Joaquin Basin Onshore Crude Oil Estimated Production from Reserves (Million Barrels)

Note: This page contains sample records for the topic "determination san carlos" from the National Library of EnergyBeta (NLEBeta).
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81

Federal Energy Management Program: National Park Service - San Miguel  

NLE Websites -- All DOE Office Websites (Extended Search)

National Park National Park Service - San Miguel Island, California to someone by E-mail Share Federal Energy Management Program: National Park Service - San Miguel Island, California on Facebook Tweet about Federal Energy Management Program: National Park Service - San Miguel Island, California on Twitter Bookmark Federal Energy Management Program: National Park Service - San Miguel Island, California on Google Bookmark Federal Energy Management Program: National Park Service - San Miguel Island, California on Delicious Rank Federal Energy Management Program: National Park Service - San Miguel Island, California on Digg Find More places to share Federal Energy Management Program: National Park Service - San Miguel Island, California on AddThis.com... Energy-Efficient Products

82

CX-001315: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Categorical Exclusion Determination CX-001315: Categorical Exclusion Determination Propane Truck Deployment CX(s) Applied: A1, A7, A9, B5.1 Date: 03182010 Location(s): San...

83

U.S. Department of Energy NEPA Categorical Exclusion Determination Form  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Efficiency and Conservation Block Grant Program Energy Efficiency and Conservation Block Grant Program AZ-TRIBE-SAN CARLOS APACHE TRIBE Location: Tribe AZ-TRIBE-SAN CARLOS APACHE TRIBE AZ American Recovery and Reinvestment Act: Proposed Action or Project Description: The San Carlos Apache Tribe of Arizona proposes to 1) conduct energy efficient building retrofits to the Shelter Care Building which includes replacing current lighting with compact fluorescent lights, installing attic insulation, sealing and insulating around vents and pipes, and conducting simple weatherization activities; and 2) installing an approximate 17 kW solar photovoltaic system on the Shelter Care Building. Conditions: None Categorical Exclusion(s) Applied: B2.5, B5.1, B5.16 *-For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, see Subpart D of 10 CFR10 21

84

San Jacinto Wind Farm | Open Energy Information  

Open Energy Info (EERE)

San Jacinto Wind Farm San Jacinto Wind Farm Facility San Jacinto Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner SeaWest Developer SeaWest Energy Purchaser Southern California Edison Co Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

85

City of San Antonio- Green Building Requirement  

Energy.gov (U.S. Department of Energy (DOE))

In 2009 San Antonio announced [http://www.sanantonio.gov/oep/SustainabilityPlan.asp Mission Verde], which outlines eleven initiatives for a sustainable economy. As part of this plan, the City...

86

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, June 16, 2011 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

87

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, August 16, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

88

Sustainability Assistance Network (SAN) Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, April 26, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

89

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, August 18, 2011 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

90

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, November 17, 2011 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

91

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, September 20, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

92

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, November 15, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

93

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, July 19, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

94

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, October 20, 2011 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

95

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, June 21, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

96

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, September 15, 2011 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web...

97

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, December 20, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

98

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, June 20, 2013 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login:...

99

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, December 15, 2011 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

100

Sustainability Assistance Network (SAN) Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, March 15, 2012 11:00 am - 12:30 pm (EST) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

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


101

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, May 16, 2013 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

102

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, October 18, 2012 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

103

Sustainability Assistance Network (SAN), Monthly Conference Call...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustainability Assistance Network (SAN) Monthly Conference Call Thursday, February 21, 2013 11:00 am - 12:30 pm (ET) Dial-in U.S. Toll: 303-248-0285 Access Code: 5863657 Web Login...

104

City of San Diego- Sustainable Building Policy  

Energy.gov (U.S. Department of Energy (DOE))

The City of San Diegos Sustainable Building Policy is directed by Council Policy 900-14. The policy contains regulations regarding building measures, private-sector incentives, health and...

105

San Francisco Distributed Energy Resources Testbed  

NLE Websites -- All DOE Office Websites (Extended Search)

feeder serving a publicly-owned sewage treatment plant with a 1.95 MW cogeneration facility and 255 kW solar array. San Francisco Community Power, a nonprofit...

106

NPP Tropical Forest: San Eusebio, Venezuela  

NLE Websites -- All DOE Office Websites (Extended Search)

Eusebio, Venezuela, 1970-1971 PHOTOGRAPH Photograph: General view of the San Eusebio site (click on the photo to view a series of images from this site) Data Citation Cite this...

107

San Francisco residential energy consumption. Final report  

SciTech Connect

Heating and cooling energy requirements were determined by a computerized program for characteristic single-family, townhouse, low - rise, and high - rise residences in San Francisco, Calif., with 1951 selected as being a typical weather year for the area. Energy requirements were calculated using a two - step process. In the first step, hourly heating and cooling loads were calculated for each dwelling unit. In the second step, monthly and annual energy required to meet heating and cooling loads was calculated using specific heating, cooling, and ventilation systems. Examples of lifestyle parameters included in the analysis were thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans. The computer program used to determine heating and cooling loads, or heat delivery / removal requirements, included subroutines for computing hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The heating load was much greater than the cooling load for single - family and high - rise residences, due to large amounts of infiltration. Heating and cooling loads were similar in the townhouses. The low - rise residences had a cooling load larger than their heating load because of internal heat generation. After structural and comfort control system modifications were made to the residences, heating and cooling energy requirements were again determined. Reduced energy consumption as a result of the modifications were as follows: single - family residences consumed 50 percent, townhouses consumed 50 percent, low - rise residences consumed 57 percent, and high - rise residences consumed 64 percent of the primary energy required by the characteristic structure. Supporting data, illustrative layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-12-01T23:59:59.000Z

108

The path forward: Monte Carlo Convergence discussion  

SciTech Connect

This is a summary of 'the path forward' discussion session of the NuInt09 workshop which focused on Monte Carlo event generators. The main questions raised as part of this discussion are: how to make Monte Carlo generators more reliable and how important it is to work on a universal Monte Carlo generator of events? In this contribution, several experts in the field summarize their views, as presented at the workshop.

Andreopoulos, Costas [Rutherford Appleton Laboratory, STFC Oxfordshire OX11 0QX (United Kingdom); Gallagher, Hugh [Tufts University, Medford, Massachusetts (United States); Hayato, Yoshinari [Kamioka Observatory, ICRR, University of Tokyo Higashi-Mozumi 456, Kamioka-cho, Hida-city Gifu 506-1205 (Japan); Sobczyk, Jan T. [Institute of Theoretical Physics, Wroclaw, University Poland (Poland); Walter, Chris [Department of Physics, Duke University, Durham, NC 27708 (United States); Zeller, Sam [Los Alamos National Laboratory, Los Alamos, NM (United States)

2009-11-25T23:59:59.000Z

109

Clean Tech San Diego | Open Energy Information  

Open Energy Info (EERE)

San Diego San Diego Jump to: navigation, search Name Clean Tech San Diego Address 4510 Executive Drive Place San Diego, California Zip 92121 Region Southern CA Area Notes Non-profit membership organization formed to accelerate San Diego as a world leader in the clean technology economy Website http://www.cleantechsandiego.o Coordinates 32.875965°, -117.21085° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.875965,"lon":-117.21085,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

110

Optimal generalized truncated sequential Monte Carlo test  

Science Conference Proceedings (OSTI)

When it is not possible to obtain the analytical null distribution of a test statistic U, Monte Carlo hypothesis tests can be used to perform the test. Monte Carlo tests are commonly used in a wide variety of applications, including spatial statistics, ... Keywords: 62L05, 62L15, 65C05, Execution time, Power loss, Resampling risk, p-value density

Ivair R. Silva, Renato M. Assuno

2013-10-01T23:59:59.000Z

111

ARM - Carlos Sousa Interview (English Version)  

NLE Websites -- All DOE Office Websites (Extended Search)

DeployementCarlos Sousa Interview (English Version) DeployementCarlos Sousa Interview (English Version) Azores Deployment AMF Home Graciosa Island Home Data Plots and Baseline Instruments Satellite Retrievals Experiment Planning CAP-MBL Proposal Abstract and Related Campaigns Science Questions Science Plan (PDF, 4.4M) Rob Wood Website Outreach Backgrounders English Version (PDF, 363K) Portuguese Version (PDF, 327K) AMF Posters, 2009 English Version Portuguese Version Education Flyers English Version Portuguese Version News Campaign Images Carlos Sousa Interview (English Version) From Graciosa to India. Thanks to the Atmospheric Station. (From Aςoriano Oriental, March 5, 2012) Carlos Sousa works on an instrument at the ARM India site. Carlos Sousa works on an instrument at the ARM India site. To be at the right place at the right time, can change a person's life.

112

The MC21 Monte Carlo Transport Code  

SciTech Connect

MC21 is a new Monte Carlo neutron and photon transport code currently under joint development at the Knolls Atomic Power Laboratory and the Bettis Atomic Power Laboratory. MC21 is the Monte Carlo transport kernel of the broader Common Monte Carlo Design Tool (CMCDT), which is also currently under development. The vision for CMCDT is to provide an automated, computer-aided modeling and post-processing environment integrated with a Monte Carlo solver that is optimized for reactor analysis. CMCDT represents a strategy to push the Monte Carlo method beyond its traditional role as a benchmarking tool or ''tool of last resort'' and into a dominant design role. This paper describes various aspects of the code, including the neutron physics and nuclear data treatments, the geometry representation, and the tally and depletion capabilities.

Sutton TM, Donovan TJ, Trumbull TH, Dobreff PS, Caro E, Griesheimer DP, Tyburski LJ, Carpenter DC, Joo H

2007-01-09T23:59:59.000Z

113

Evaluation of Superconducting Magnetic Energy Storage for San Diego Gas and Electric Company  

Science Conference Proceedings (OSTI)

By providing rapid-response, real-power (P) or reactive-power (Q) modulation, superconducting magnetic energy storage (SMES) devices can increase power transfer capabilities. This report documents two phases of a technical study to determine potential benefits of locating a SMES unit at San Diego Gas and Electric's Blythe site.

1997-08-21T23:59:59.000Z

114

Reconnaissance radiological characterization for the White Point Nike Missile Site, San Pedro, California  

SciTech Connect

This report is the result of field work performed at the former White Point Nike Missile Site, San Pedro, California. The Hazardous Waste Remedial Actions Program tasked the Oak Ridge National Laboratory Pollutant Assessments Group in Grand Junction, Colo., with this project. The objective was to determine whether or not radioisotopes possibly associated with past Department of Defense (DOD) operations were present and within accepted background levels. The radiation survey was accomplished by performing three independent radiation surveys, both outdoors and indoors, and random soil sampling. Initially, the site was land surveyed to develop a grid block system. A background radiation investigation was performed out in the San Pedro area.

Espegren, M.L.; Jensen, M.K.; Pierce, G.A. [Oak Ridge National Lab., TN (United States); Smith, S.M. [Oak Ridge Inst. for Science and Education, Grand Junction, CO (United States)

1993-05-01T23:59:59.000Z

115

Reconnaissance radiological characterization for the White Point Nike Missile Site, San Pedro, California  

SciTech Connect

This report is the result of field work performed at the former White Point Nike Missile Site, San Pedro, California. The Hazardous Waste Remedial Actions Program tasked the Oak Ridge National Laboratory Pollutant Assessments Group in Grand Junction, Colo., with this project. The objective was to determine whether or not radioisotopes possibly associated with past Department of Defense (DOD) operations were present and within accepted background levels. The radiation survey was accomplished by performing three independent radiation surveys, both outdoors and indoors, and random soil sampling. Initially, the site was land surveyed to develop a grid block system. A background radiation investigation was performed out in the San Pedro area.

Espegren, M.L.; Jensen, M.K.; Pierce, G.A. (Oak Ridge National Lab., TN (United States)); Smith, S.M. (Oak Ridge Inst. for Science and Education, Grand Junction, CO (United States))

1993-01-01T23:59:59.000Z

116

The Effectiveness of Reverse Telephon Emergency Warning Systems in the October 2007 San Diego Wildfires  

Science Conference Proceedings (OSTI)

Late in October, 2007, fast-moving wildfires fueled by extreme Santa Ana winds threatened residents and their properties in San Diego County, California. The impacted area also included the City of San Diego within the County s boundaries. It turns out the San Diego firestorms would be the biggest in the County's history, surpassing the devastating 2003 firestorms in intensity, duration, and impacted populations. Both San Diego County and the City of San Diego have installed telephone reverse call-down emergency warning systems. A telephone survey of 1200 households located in areas identified by emergency officials as the evacuation zones for the 2007 fires was conducted in late March and early April 2008 using a random telephone dialing process to determine if people responded to the reverse telephone warning systems calls. Findings indicate that those who received a reverse emergency warning call were much more likely to evacuate than those who did not receive a call. The telephone calls were also the most likely source of first warning.

Sorensen, John H [ORNL; Sorensen, Barbara Vogt [ORNL

2009-01-01T23:59:59.000Z

117

Solar San Jose | Open Energy Information  

Open Energy Info (EERE)

San Jose San Jose Place San Jose, California Zip 95112 Region Bay Area Website http://www.solarsanjose.com/ Coordinates 37.3456227°, -121.8847222° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.3456227,"lon":-121.8847222,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

118

San Marcos Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Marcos Biomass Facility Marcos Biomass Facility Jump to: navigation, search Name San Marcos Biomass Facility Facility San Marcos Sector Biomass Facility Type Landfill Gas Location San Diego County, California Coordinates 33.0933809°, -116.6081653° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.0933809,"lon":-116.6081653,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

119

San Gorgonio Farms | Open Energy Information  

Open Energy Info (EERE)

San Gorgonio Farms San Gorgonio Farms Jump to: navigation, search Name San Gorgonio Farms Place Torrance, California Zip CA 90503 Sector Wind energy Product California-based wind project developer. Coordinates 40.417285°, -79.223959° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.417285,"lon":-79.223959,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

120

Clean Cities: San Francisco Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Francisco Clean Cities Coalition Francisco Clean Cities Coalition The San Francisco Clean Cities coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. San Francisco Clean Cities coalition Contact Information Bill Zeller 415-355-3728 william.zeller@sfgov.org Coalition Website Clean Cities Coordinator Bill Zeller Photo of Bill Zeller Bill Zeller currently leads the San Francisco Clean Cities Coalition. Although he is new to the leadership position, he has worked with SFCCC for many years as an active stakeholder representing PG&E and as the Treasurer. He has worked in the clean transportation industry since the late 1980s, promoting natural gas and electric vehicles. He recently retired from PG&E after 28 years of service. He is now the manager of Clean Vehicle Programs

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


121

Levee Decisions and Sustainability for the Sacramento-San Joaquin Delta  

E-Print Network (OSTI)

Levee decisions and sustainability for the Sacramento-SanLevee Decisions and Sustainability for the Sacramento-San

Suddeth, Robyn J; Mount, Jeff; Lund, Jay R

2010-01-01T23:59:59.000Z

122

Alternative Fuels Data Center: Students Reduce Vehicle Idling in San  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Students Reduce Students Reduce Vehicle Idling in San Antonio, Texas to someone by E-mail Share Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Facebook Tweet about Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Twitter Bookmark Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Google Bookmark Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Delicious Rank Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on Digg Find More places to share Alternative Fuels Data Center: Students Reduce Vehicle Idling in San Antonio, Texas on AddThis.com... March 25, 2010 Students Reduce Vehicle Idling in San Antonio, Texas

123

Vehicle Technologies Office: Workplace Charging Challenge Partner: San  

NLE Websites -- All DOE Office Websites (Extended Search)

San Diego Gas and Electric to someone by E-mail San Diego Gas and Electric to someone by E-mail Share Vehicle Technologies Office: Workplace Charging Challenge Partner: San Diego Gas and Electric on Facebook Tweet about Vehicle Technologies Office: Workplace Charging Challenge Partner: San Diego Gas and Electric on Twitter Bookmark Vehicle Technologies Office: Workplace Charging Challenge Partner: San Diego Gas and Electric on Google Bookmark Vehicle Technologies Office: Workplace Charging Challenge Partner: San Diego Gas and Electric on Delicious Rank Vehicle Technologies Office: Workplace Charging Challenge Partner: San Diego Gas and Electric on Digg Find More places to share Vehicle Technologies Office: Workplace Charging Challenge Partner: San Diego Gas and Electric on AddThis.com... Goals Research & Development

124

2009 National Electric Transmission Congestion Study - San Francisco  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San San Francisco Workshop 2009 National Electric Transmission Congestion Study - San Francisco Workshop On June 11, 2008, DOE hosted a regional pre-study workshop in San Francisco, CA to receive input and suggestions concerning the 2009 National Electric Transmission Congestion Study. The agenda, full transcript, and documents submitted for consideration for the 2009 study are available below. 6-11-08 Congestion Workshop Agenda - San Francisco, CA.pdf Transcript - 2009 National Electric Transmission Congestion Study San Francisco Workshop.pdf California Initiatives To Be Considered in DOE's 2009 Congestion Study, submitted at 2009 Congestion Study San Francisco workshop.pdf Arizona Renewable Transmission Task Force BTA Response, submitted at 2009 Congestion Study San Francisco workshop.pdf

125

New San Antonio Airport Terminal Generating Clean Power | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Antonio Airport Terminal Generating Clean Power San Antonio Airport Terminal Generating Clean Power New San Antonio Airport Terminal Generating Clean Power January 27, 2011 - 2:03pm Addthis The new photovoltaic system at the San Antonio International Airport. The new photovoltaic system at the San Antonio International Airport. Todd G. Allen Project Officer, Golden Field Office What are the key facts? The City of San Antonio's EECBG proram staff awarded a block grant for a solar photovoltaic (PV) system at the airport, designed and built the project, and complied with all local and federal regulations... all in seven months. In early 2010, the City of San Antonio's Energy Efficiency and Conservation Block Grant (EECBG) program staff quickly realized a golden opportunity lay right at their fingertips. The opening of the new San

126

History of EQ-SANS | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

History of EQ-SANS On December 23, 2008, EQ-SANS received its first neutrons. participants in the commissioning of EQ-SQNS Among those present for the start-up were (left to right)...

127

Energy Efficiency Takes Root at the Presidio of San Francisco  

NLE Websites -- All DOE Office Websites (Extended Search)

5 Energy Efficiency Takes Root at the Presidio of San Francisco The Presidio from the Golden Gate Bridge The Presidio of San Francisco, recently turned over to the National Park...

128

2009 National Electric Transmission Congestion Study - San Francisco  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San San Francisco Workshop 2009 National Electric Transmission Congestion Study - San Francisco Workshop On June 11, 2008, DOE hosted a regional pre-study workshop in San Francisco, CA to receive input and suggestions concerning the 2009 National Electric Transmission Congestion Study. The agenda, full transcript, and documents submitted for consideration for the 2009 study are available below. 6-11-08 Congestion Workshop Agenda - San Francisco, CA.pdf Transcript - 2009 National Electric Transmission Congestion Study San Francisco Workshop.pdf California Initiatives To Be Considered in DOE's 2009 Congestion Study, submitted at 2009 Congestion Study San Francisco workshop.pdf Arizona Renewable Transmission Task Force BTA Response, submitted at 2009 Congestion Study San Francisco workshop.pdf

129

Data Decomposition of Monte Carlo Particle Transport Simulations...  

NLE Websites -- All DOE Office Websites (Extended Search)

Data Decomposition of Monte Carlo Particle Transport Simulations via Tally Servers Title Data Decomposition of Monte Carlo Particle Transport Simulations via Tally Servers...

130

Load Balancing Of Parallel Monte Carlo Transport Calculations  

National Nuclear Security Administration (NNSA)

Load Balancing Of Parallel Load Balancing Of Parallel Monte Carlo Transport Calculations R.J. Procassini, M. J. O'Brien and J.M. Taylor Lawrence Livermore National Laboratory, P. O. Box 808, Livermore, CA 94551 The performance of parallel Monte Carlo transport calculations which use both spatial and particle parallelism is increased by dynamically assigning processors to the most worked domains. Since the particle work load varies over the course of the simulation, each cycle this algorithm determines if dynamic load balancing would speed up the calculation. If load balancing is required, a small number of particle communications are initiated in order to achieve load balance. This method has decreased the parallel run time by more than a factor of three for certain criticality

131

San Onofre nuclear outage contributes to Southern Californias ...  

U.S. Energy Information Administration (EIA)

Short, timely articles with graphics on energy, facts, issues ... in the Southern California Edison and San ... company providing retail ...

132

SANS for Biology William T. Heller, Ph.D.  

E-Print Network (OSTI)

SANS for Biology A Tutorial William T. Heller, Ph.D. SNS-HFIR Users Meeting October 10, 2007 #12 probed Detector: Collects the neutrons scattered by the sample SNS and HFIR have large area detectors #12;SANS Instruments The HFIR SANS instrument control program is based on Spice, originally developed

133

A Monte Carlo Approach To Generator Portfolio Planning And Carbon Emissions  

Open Energy Info (EERE)

Monte Carlo Approach To Generator Portfolio Planning And Carbon Emissions Monte Carlo Approach To Generator Portfolio Planning And Carbon Emissions Assessments Of Systems With Large Penetrations Of Variable Renewables Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Monte Carlo Approach To Generator Portfolio Planning And Carbon Emissions Assessments Of Systems With Large Penetrations Of Variable Renewables Details Activities (0) Areas (0) Regions (0) Abstract: A new generator portfolio planning model is described that is capable of quantifying the carbon emissions associated with systems that include very high penetrations of variable renewables. The model combines a deterministic renewable portfolio planning module with a Monte Carlo simulation of system operation that determines the expected least-cost

134

San Diego, Texas -- Plazas of San Diego Texas: Signatures of Mexican-American Place Identity  

E-Print Network (OSTI)

1989). Moreover, most South Texas towns stage these and1978). 4. Some other South Texas Mexican- American townsPlazas of San Diego Texas: S i g n a t u r e s of Mexican-

Arreola, Daniel D

1993-01-01T23:59:59.000Z

135

CX-006142: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CX-006142: Categorical Exclusion Determination Recovery Act: Skyonic Beneficial Carbon Dioxide Use Project CX(s) Applied: A9, A11, B3.6 Date: 07152011 Location(s): San...

136

Categorical Exclusion Determinations: National Energy Technology...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determination Low Cost Lithography for High Brightness LED (Light-emitting diode) Manufacturing CX(s) Applied: B3.6 Date: 02122010 Location(s): San Jose,...

137

San Bernardino Los AngelesVentura  

E-Print Network (OSTI)

Power Project Solar Power Plant Licensing Projects T:\\Pr ojects \\CEC\\CE C P rojec ts \\Current CE C Beacon Solar, LLC Ridgecrest Solar Power Project 250 MW - Kern Co. Solar Millennium, LLC Hidden HillsSource Energy, Inc. Calico Solar Project 100.5 MW (Solar Thermal) San Bernardino Co. Approved October 28, 2010

138

San Bernardino Los AngelesVentura  

E-Print Network (OSTI)

Beacon Solar Energy Project 250 MW - Kern Co. Approved August 25, 2010 Beacon Solar, LLC Ridgecrest SolarSource Energy, INC Rio Mesa Solar 750 MW - Riverside Co. BrightSource Energy, INC Genesis Solar Energy Project MW - San Bernardino Co. Approved September 8, 2010 Mojave Solar, LLC Rice Solar Energy Project 150 MW

139

San Francisco, California: Solar in Action (Brochure)  

Science Conference Proceedings (OSTI)

This brochure provides an overview of the challenges and successes of San Francisco, CA, a 2007 Solar America City awardee, on the path toward becoming a solar-powered community. Accomplishments, case studies, key lessons learned, and local resource information are given.

Not Available

2011-10-01T23:59:59.000Z

140

San Antonio, Texas: Solar in Action (Brochure)  

DOE Green Energy (OSTI)

This brochure provides an overview of the challenges and successes of San Antonio, TX, a 2008 Solar America City awardee, on the path toward becoming a solar-powered community. Accomplishments, case studies, key lessons learned, and local resource information are given.

Not Available

2011-10-01T23:59:59.000Z

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


141

Temperature Trends at San Juan, Puerto Rico  

Science Conference Proceedings (OSTI)

Observations at the San Juan, Puerto Rico international airport show that the annual mean temperature has increased by about 2.1C (3.8F) from 1956 to 1983. The chief contributors to the increase are an increase in daily minimum temperature from ...

Claude E. Duchon

1986-11-01T23:59:59.000Z

142

San Jose, California: Solar in Action (Brochure)  

DOE Green Energy (OSTI)

This brochure provides an overview of the challenges and successes of San Jose, CA, a 2008 Solar America City awardee, on the path toward becoming a solar-powered community. Accomplishments, case studies, key lessons learned, and local resource information are given.

Not Available

2011-10-01T23:59:59.000Z

143

San Diego, California: Solar in Action (Brochure)  

DOE Green Energy (OSTI)

This brochure provides an overview of the challenges and successes of San Diego, CA, a 2007 Solar America City awardee, on the path toward becoming a solar-powered community. Accomplishments, case studies, key lessons learned, and local resource information are given.

Not Available

2011-10-01T23:59:59.000Z

144

San Bernardino County - Green Building Incentive | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

You are here You are here Home » San Bernardino County - Green Building Incentive San Bernardino County - Green Building Incentive < Back Eligibility Commercial Construction Installer/Contractor Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heating Heat Pumps Appliances & Electronics Water Heating Bioenergy Home Weatherization Commercial Weatherization Solar Lighting Windows, Doors, & Skylights Buying & Making Electricity Water Wind Program Info State California Program Type Green Building Incentive San Bernardino's Board of Supervisors launched Green County San Bernardino in August 2007. The program includes a number of incentives to encourage residents, builders, and businesses to adopt more sustainable practices. Builders who participate in San Bernardino County's

145

San Isabel Electric Association - Residential Energy Efficiency Rebate  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Isabel Electric Association - Residential Energy Efficiency San Isabel Electric Association - Residential Energy Efficiency Rebate Program San Isabel Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Marathon Water Heaters: $175 Marathon Water Heaters w/ SIEA Load Control Program: $425 Electric Water Heater (minimum 30 gallon): $100 Washers: $80 Dryer w/ Moisture Sensor: $50 Dishwashers: $60 Refrigerators: $90 Freezers: $90 ETS Room Units: $72 - $180 ETS Furnaces: $432 - $768 Provider San Isabel Electric Association San Isabel Electric Association (SIEA) provides incentives for its residential customers to install energy efficient equipment. Rebates are

146

City of San Diego - Sustainable Building Policy | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Diego - Sustainable Building Policy San Diego - Sustainable Building Policy City of San Diego - Sustainable Building Policy < Back Eligibility Commercial Construction Local Government Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Bioenergy Solar Windows, Doors, & Skylights Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Heating Wind Program Info State California Program Type Energy Standards for Public Buildings Provider San Diego Environmental Services Department The City of San Diego's Sustainable Building Policy is directed by Council Policy 900-14. The policy contains regulations regarding building

147

City of San Francisco - Commercial Efficiency Rebates | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Francisco - Commercial Efficiency Rebates San Francisco - Commercial Efficiency Rebates City of San Francisco - Commercial Efficiency Rebates < Back Eligibility Commercial Multi-Family Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Construction Commercial Weatherization Design & Remodeling Manufacturing Other Appliances & Electronics Commercial Lighting Lighting Water Heating Program Info State California Program Type Local Rebate Program Businesses in San Francisco's PG&E territory can receive equipment rebates, a detailed energy analysis, and the discounted installation of a variety of energy efficiency technologies through San Francisco's Energy Watch Program. A range of incentives are available for lighting, HVAC, food service equipment and network power management systems. See web site above

148

Monte Carlo simulation in financial engineering  

Science Conference Proceedings (OSTI)

This paper reviews the use of Monte Carlo simulation in the field of financial engineering. It focuses on several interesting topics and introduces their recent development, including path generation, pricing American-style derivatives, evaluating Greeks ...

Nan Chen; L. Jeff Hong

2007-12-01T23:59:59.000Z

149

Exponential convergence with adaptive Monte Carlo  

Science Conference Proceedings (OSTI)

For over a decade, it has been known that exponential convergence on discrete transport problems was possible using adaptive Monte Carlo techniques. Now, exponential convergence has been empirically demonstrated on a spatially continuous problem.

Booth, T.E.

1997-11-01T23:59:59.000Z

150

Monte Carlo simulation in systems biology  

E-Print Network (OSTI)

2 The history of Monte Carlo Sampling in Systems Biology 1.1simulation tools: the systems biology workbench and biospiceCellular and Molecular Biology. ASM Press, Washington

Schellenberger, Jan

2010-01-01T23:59:59.000Z

151

City of San Diego Environmental Services Department | Open Energy  

Open Energy Info (EERE)

Environmental Services Department Environmental Services Department Jump to: navigation, search Name City of San Diego Environmental Services Department Place San Diego, California Zip 92123 Sector Services, Solar Product City of San Diego's environmental services department. It is a power purchaser of electricity generated by a 0.9MW solar PV array located at its Alvarado water treatment plant. References City of San Diego Environmental Services Department[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. City of San Diego Environmental Services Department is a company located in San Diego, California . References ↑ "City of San Diego Environmental Services Department" Retrieved from

152

Statistical Field Significance and its Determination by Monte Carlo Techniques  

Science Conference Proceedings (OSTI)

The effects of number and interdependence in evaluating the collective significance of finite sets of statistics are frequently non-trivial, especially for spatial networks of time-averaged meteorological data. These effects can be taken into ...

Robert E. Livezey; W. Y. Chen

1983-01-01T23:59:59.000Z

153

Grupo San Jose | Open Energy Information  

Open Energy Info (EERE)

San Jose San Jose Place Madrid, Spain Zip 28760 Sector Solar, Wind energy Product Madrid based company which develops several projects including wind and solar. Coordinates 40.4203°, -3.705774° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.4203,"lon":-3.705774,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

154

San Marino: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

San Marino: Energy Resources San Marino: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.9333333,"lon":12.4166667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

155

SWP.SanJuanBasin.factsheet0919  

NLE Websites -- All DOE Office Websites (Extended Search)

Principal Investigator Reid Grigg/Brian McPherson NMT reid@prrc.nmt.edu / brian@nmt.edu Field Test Information: Field Test Name San Juan Basin, New Mexico: Enhanced Coalbed Methane-Sequestration Test Test Location Near Navajo City, New Mexico Amount and Source of CO 2 Tons Source 20,000 - 35,000 tons; CO2 sourced from McElmo Dome, CO ConocoPhillips KinderMorgan CO 2 Company, L.P. Field Test Partners (Primary Sponsors) Summary of Field Test Site and Operations General Geology and Target Reservoirs: The San Juan basin (SJB) is one of the top ranked basins in the world for CO 2 coalbed sequestration because it has: 1) advantageous geology and high methane content; 2) abundant anthropogenic CO

156

San Francisco Biofuels Cooperative | Open Energy Information  

Open Energy Info (EERE)

Biofuels Cooperative Biofuels Cooperative Jump to: navigation, search Name San Francisco Biofuels Cooperative Address 1255 Post St Place San Francisco, California Zip 94109 Region Bay Area Notes Mission is to facilitate access to renewable fuel alternatives to the community Website http://www.sfbiofuels.org/ Coordinates 37.786317°, -122.422503° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.786317,"lon":-122.422503,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

157

Continuous-Estimator Representation for Monte Carlo Criticality Diagnostics  

Science Conference Proceedings (OSTI)

An alternate means of computing diagnostics for Monte Carlo criticality calculations is proposed. Overlapping spherical regions or estimators are placed covering the fissile material with a minimum center-to-center separation of the 'fission distance', which is defined herein, and a radius that is some multiple thereof. Fission neutron production is recorded based upon a weighted average of proximities to centers for all the spherical estimators. These scores are used to compute the Shannon entropy, and shown to reproduce the value, to within an additive constant, determined from a well-placed mesh by a user. The spherical estimators are also used to assess statistical coverage.

Kiedrowski, Brian C. [Los Alamos National Laboratory; Brown, Forrest B. [Los Alamos National Laboratory

2012-06-18T23:59:59.000Z

158

San Bernardino National Wildlife Refuge Well 10  

Science Conference Proceedings (OSTI)

The U.S. Geological Survey (USGS), at the request of the U.S. Fish and Wildlife Service, evaluated the water production capacity of an artesian well in the San Bernardino National Wildlife Refuge, Arizona. Water from the well initially flows into a pond containing three federally threatened or endangered fish species, and water from this pond feeds an adjacent pond/wetland containing an endangered plant species.

Ensminger, J.T.; Easterly, C.E.; Ketelle, R.H.; Quarles, H.; Wade, M.C.

1999-12-01T23:59:59.000Z

159

San Juan Life Assessment Study Phase 1  

Science Conference Proceedings (OSTI)

This report documents Phase 1 of a comprehensive study undertaken to provide information needed for evaluating possible plant retirement time frames for the San Juan Generating Station (SJGS). Work performed in this phase of the study included initial plant and environmental assessments, a review of cost and performance aspects of a larger group of plants with characteristics and/or operating histories similar to those of SJGS, and a reference-case market simulation and performance assessment of the stat...

2004-09-30T23:59:59.000Z

160

San Francisco's Public School Facilities as Public Assets: A Shared Understanding and Policy Recommendations for the Community Use of Schools  

E-Print Network (OSTI)

Plan. San Francisco Unified School District. 2009. Capital6. San Francisco Unified School District. 2009. Capital Plan4. San Franciscos Public School Facilities as Public Assets

Vincent, Jeffrey M; Filardo, Mary; Klein, Jordan; McKoy, Deborah L

2010-01-01T23:59:59.000Z

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


161

Characterization of Tight Gas Reservoir Pore Structure Using USANS/SANS and Gas Adsorption Analysis  

SciTech Connect

Small-angle and ultra-small-angle neutron scattering (SANS and USANS) measurements were performed on samples from the Triassic Montney tight gas reservoir in Western Canada in order to determine the applicability of these techniques for characterizing the full pore size spectrum and to gain insight into the nature of the pore structure and its control on permeability. The subject tight gas reservoir consists of a finely laminated siltstone sequence; extensive cementation and moderate clay content are the primary causes of low permeability. SANS/USANS experiments run at ambient pressure and temperature conditions on lithologically-diverse sub-samples of three core plugs demonstrated that a broad pore size distribution could be interpreted from the data. Two interpretation methods were used to evaluate total porosity, pore size distribution and surface area and the results were compared to independent estimates derived from helium porosimetry (connected porosity) and low-pressure N{sub 2} and CO{sub 2} adsorption (accessible surface area and pore size distribution). The pore structure of the three samples as interpreted from SANS/USANS is fairly uniform, with small differences in the small-pore range (< 2000 {angstrom}), possibly related to differences in degree of cementation, and mineralogy, in particular clay content. Total porosity interpreted from USANS/SANS is similar to (but systematically higher than) helium porosities measured on the whole core plug. Both methods were used to estimate the percentage of open porosity expressed here as a ratio of connected porosity, as established from helium adsorption, to the total porosity, as estimated from SANS/USANS techniques. Open porosity appears to control permeability (determined using pressure and pulse-decay techniques), with the highest permeability sample also having the highest percentage of open porosity. Surface area, as calculated from low-pressure N{sub 2} and CO{sub 2} adsorption, is significantly less than surface area estimates from SANS/USANS, which is due in part to limited accessibility of the gases to all pores. The similarity between N{sub 2} and CO{sub 2}-accessible surface area suggests an absence of microporosity in these samples, which is in agreement with SANS analysis. A core gamma ray profile run on the same core from which the core plug samples were taken correlates to profile permeability measurements run on the slabbed core. This correlation is related to clay content, which possibly controls the percentage of open porosity. Continued study of these effects will prove useful in log-core calibration efforts for tight gas.

Clarkson, Christopher R [ORNL; He, Lilin [ORNL; Agamalian, Michael [ORNL; Melnichenko, Yuri B [ORNL; Mastalerz, Maria [Indiana Geological Survey; Bustin, Mark [University of British Columbia, Vancouver; Radlinski, Andrzej Pawell [ORNL; Blach, Tomasz P [ORNL

2012-01-01T23:59:59.000Z

162

Building America Efficient Solutions for Existing Homes: Case Study: Build San Antonio Green, San Antonio, Texas  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

provided technical assistance to Build provided technical assistance to Build San Antonio Green (BSAG, www.buildsagreen.org) for three of their deep energy and green retrofits. BSAG is a well established non-profit organization in the community that has certified more than 710 new homes as well as 15 retrofits through its Green Retrofit Program to date. Technical assistance provided by the Pacific Northwest National Laboratory (PNNL) team included retrofitting strategy assessments, performance testing, quality assurance, and metering. The PNNL team included Calcs-Plus, which led the field work, and the Florida Solar Energy Center, which led the metering effort. This San Antonio home is one of three deep energy renovations of occupied affordable homes certified in 2011. The homes were selected through the City of San Antonio's Owner-Occupied Housing

163

San Emidio (Empire) Geothermal Facility | Open Energy Information  

Open Energy Info (EERE)

San Emidio (Empire) Geothermal Facility San Emidio (Empire) Geothermal Facility Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home San Emidio (Empire) Geothermal Facility General Information Name San Emidio (Empire) Geothermal Facility Facility San Emidio (Empire) Sector Geothermal energy Location Information Location San Emidio, Nevada Coordinates 40.3999034°, -119.4296313° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.3999034,"lon":-119.4296313,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

164

Communication and Collaboration Keep San Francisco VA Medical Center  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Communication and Collaboration Keep San Francisco VA Medical Communication and Collaboration Keep San Francisco VA Medical Center Project on Track Communication and Collaboration Keep San Francisco VA Medical Center Project on Track October 7, 2013 - 1:56pm Addthis San Francisco VA Medical Center The San Francisco VA Medical Center is saving more than $500,000 and almost 3 million kWh every year through a retrofit financed by FEMP's Super ESPC Program. Overview The Veterans Affairs Medical Center in San Francisco is saving almost 3 million kilowatt-hours of electricity, more than 70,000 therms of natural gas, and more than $500,000 annually. The energy savings are enough to power 400 homes and supply natural gas to more than 100 homes each year in California. These savings were realized by taking advantage of Super Energy

165

The Rational Hybrid Monte Carlo Algorithm  

E-Print Network (OSTI)

The past few years have seen considerable progress in algorithmic development for the generation of gauge fields including the effects of dynamical fermions. The Rational Hybrid Monte Carlo (RHMC) algorithm, where Hybrid Monte Carlo is performed using a rational approximation in place the usual inverse quark matrix kernel is one of these developments. This algorithm has been found to be extremely beneficial in many areas of lattice QCD (chiral fermions, finite temperature, Wilson fermions etc.). We review the algorithm and some of these benefits, and we compare against other recent algorithm developements. We conclude with an update of the Berlin wall plot comparing costs of all popular fermion formulations.

M. A. Clark

2006-10-06T23:59:59.000Z

166

Conversion Technology and the San Jose Zero Waste Initiative  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Conversion Technology and the Conversion Technology and the San José Zero Waste Initiative DOE Webinar - April 16, 2013 Michele Young - Organics Manger - City of San Jose San Jose's Green Vision Plant Master Plan Climate Protection Plan Zero Waste Strategic Plan Organics-to-Energy Strategic Work Plan Integrated Strategic Planning Zero Waste San José Green Vision Renewable Energy 75% Diversion by 2013 Zero Waste by 2022 100% Renewable by 2022 100% Green City Fleet by 2022 Infrastructure - Technology Type - Processing costs

167

Armored scale insecticide resistance challenges San Joaquin Valley citrus growers  

E-Print Network (OSTI)

registered to control armored scale. As a result. outbreaksand carbamate-resistant armored scale in San Joaquin ValleyEE. 1994. Chlorpyrifos effect on armored scale (Homoptera:

Grafton-Cardwell, Elizabeth E.; Ouyang, Yuling; Striggow, Rebecka; Vehrs, Stacy

2001-01-01T23:59:59.000Z

168

NCNR NG3-SANS Instrument Schedule B. Hammouda Tel ...  

Science Conference Proceedings (OSTI)

... Poly(acrylic acid) in 10CB Hammouda various solvents Jun 15 3 M. Diwekar +J. Shi 4602 Small Angle Neutron DI Kline (U. Utah) Scattering (SANS ...

169

Bio-SANS Instrument Team | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Instrument Team Instrument team Bio-SANS Team (left to right): Qiu Zhang, Student Volker Urban, Lead Instrument Scientist Sai Venkatesh Pingali, Instrument Scientist Shuo Qian,...

170

San Bernardino District Heating District Heating Low Temperature...  

Open Energy Info (EERE)

Bernardino District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name San Bernardino District Heating District Heating Low Temperature...

171

Thermal Gradient Holes At San Emidio Desert Area (DOE GTP) |...  

Open Energy Info (EERE)

Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Thermal Gradient Holes At San Emidio Desert Area (DOE GTP) Exploration Activity Details...

172

California Nuclear Profile - San Onofre Nuclear Generating Station  

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

San Onofre Nuclear Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

173

NCNR NG7-SANS Instrument Schedule P. Butler Tel: (301) ...  

Science Conference Proceedings (OSTI)

... blends Jan 31 2 S. Krueger, Z. 5581 SANS Contrast Variation 10CB Krueger Kelman, K. Rubinson NIST Studies of DNA Helicase Complexes with ...

174

NCNR NG7-SANS Instrument Schedule P. Butler Tel: (301) ...  

Science Conference Proceedings (OSTI)

... Rhe Porcar NIST oscillatory shear Nov 13 2 S. Krueger, Z. 7441 SANS Studies of DNA 9P Krueger Kelman, K, Rubinson NIST Helicase and Its ...

175

NCNR NG7-SANS Instrument Schedule P. Butler Tel: (301) ...  

Science Conference Proceedings (OSTI)

... 7HB Jackson Adams, D. Steytler EXX Sep 18 2 S. Krueger, Z. 7370 SANS Studies of DNA 9P Krueger Kelman, K. Rubinson NIST Helicase and Its ...

176

NCNR NG7-SANS Instrument Schedule P. Butler Tel: (301) ...  

Science Conference Proceedings (OSTI)

... Acid in a Jan 23 2 Z. Kelman, K. 5783 SANS Contrast Variation 10CB Krueger Rubinson, S. S18-30 Studies of DNA Helicase Krueger Complexes ...

177

NCNR NG3-SANS Instrument Schedule B. Hammouda Tel ...  

Science Conference Proceedings (OSTI)

... Scattering Studies on Blends of Poly Jul 21 1 S. Krueger, Z. 6965 SANS Studies of DNA 10CB Krueger Kelman, K. Rubinson NIST Helicase and Its ...

178

San Miguel Power Association- Energy Efficiency Rebate Program  

Energy.gov (U.S. Department of Energy (DOE))

San Miguel Power Association (SMPA) offers a variety of rebates to customers for the purchase and installation of energy efficient equipment and appliances. Both residential and commercial...

179

City of San Francisco Solar Program (California) | Open Energy...  

Open Energy Info (EERE)

Program. Rules Regulations Policies Program Place California Name City of San Francisco Solar Program Incentive Type Green Power Purchasing Applicable Sector Local Government...

180

SAXS and SANS Investigation of Synthetic Cholesteric Liquid ...  

Science Conference Proceedings (OSTI)

... SANS is given for cholesteric PTOBEE-NH2 and the precursor PTOBEE when suspended in different solvents (D2O and ethanol) using different ...

2013-05-16T23:59:59.000Z

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


181

DOE Sustainability Assistance Network (SAN) Notes Thursday, February...  

NLE Websites -- All DOE Office Websites (Extended Search)

Page 1 of 2 DOE Sustainability Assistance Network (SAN) Notes Thursday, February 21, 2013 1. Oak Ridge National Laboratory Water Resource Management Dan OConnor, ORNL Implementing...

182

DOE Sustainability Assistance Network (SAN) Notes Thursday, June...  

NLE Websites -- All DOE Office Websites (Extended Search)

Page 1 of 3 DOE Sustainability Assistance Network (SAN) Notes Thursday, June 21, 2012 1. Sustainability Performance Office (SPO) Highlights Paul Estabrooks, SPO Paul Estabrooks...

183

DOE Sustainability Assistance Network (SAN) Notes Thursday, August...  

NLE Websites -- All DOE Office Websites (Extended Search)

Page 1 of 2 DOE Sustainability Assistance Network (SAN) Notes Thursday, August 16, 2012 1. Sustainability Performance Office (SPO) Highlights Paul Estabrooks, SPO The guidance for...

184

DOE Sustainability Assistance Network (SAN) Notes Thursday, June...  

NLE Websites -- All DOE Office Websites (Extended Search)

Page 1 of 3 DOE Sustainability Assistance Network (SAN) Notes Thursday, June 20, 2013 1. Sustainability Performance Office Highlights Paul Estabrooks, SPO Nominations for the 2013...

185

California State at San Marcos | Princeton Plasma Physics Lab  

NLE Websites -- All DOE Office Websites (Extended Search)

and Engineering Capabilities Examples of OSUR Assisted Projects Auburn University California State at San Marcos Columbia University Prairie View A&M University Texas A&M...

186

EIS-0472: Uranium Leasing Program, Mesa, Montrose, and San Miguel...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sites Power Marketing Administration Other Agencies You are here Home EIS-0472: Uranium Leasing Program, Mesa, Montrose, and San Miguel Counties, Colorado EIS-0472: Uranium...

187

,"California - San Joaquin Basin Onshore Crude Oil + Lease Condensate...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Crude Oil + Lease Condensate Proved Reserves (Million...

188

California - San Joaquin Basin Onshore Crude Oil + Lease Condensate...  

Gasoline and Diesel Fuel Update (EIA)

Crude Oil + Lease Condensate Proved Reserves (Million Barrels) California - San Joaquin Basin Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0...

189

,"California - San Joaquin Basin Onshore Associated-Dissolved...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Associated-Dissolved Natural Gas, Wet After Lease...

190

,"California--San Joaquin Basin Onshore Natural Gas Plant Liquids...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million...

191

,"California - San Joaquin Basin Onshore Dry Natural Gas Proved...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Dry Natural Gas Proved Reserves (Billion Cubic...

192

,"California - San Joaquin Basin Onshore Natural Gas, Wet After...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves...

193

Calif--San Joaquin Basin onsh Shale Proved Reserves (Billion...  

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

onsh Shale Proved Reserves (Billion Cubic Feet) Calif--San Joaquin Basin onsh Shale Proved Reserves (Billion Cubic Feet) No Data Available For This Series - No Data Reported; --...

194

SANS at the NIST Center for Neutron Research  

Science Conference Proceedings (OSTI)

... run an FTP server, but a quick search on the ... Password: Enter your sans username here. ... or unauthorized, constitutes consent to 230-these terms. ...

195

Modeling-Computer Simulations At San Juan Volcanic Field Area...  

Open Energy Info (EERE)

Login | Sign Up Search Page Edit History Facebook icon Twitter icon Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson & Reiter, 1987) Jump to:...

196

Highlights from Research Conducted at Bio-SANS | ORNL Neutron...  

NLE Websites -- All DOE Office Websites (Extended Search)

Highlights from Research Conducted at Bio-SANS Neutrons help shed light on critical protein activity that protects our DNA New detector array improves neutron count capability at...

197

City of San Jose- Solar Access Design Guidelines  

Energy.gov (U.S. Department of Energy (DOE))

The San Jose Environmental Services Department has developed voluntary guidelines to encourage solar orientation in new construction. These Solar Access Design Guidelines specify that the long...

198

San Antonio Hotspots for the 1998 TMS Annual Meeting  

Science Conference Proceedings (OSTI)

The Alamo: For history buffs, San Antonio is a mecca. ... of Texas and includes a shrine, two museums, a theater, research library, and landscaped grounds.

199

City of San Francisco - Green Building Code | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

You are here You are here Home » City of San Francisco - Green Building Code City of San Francisco - Green Building Code < Back Eligibility Commercial Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Bioenergy Solar Lighting Windows, Doors, & Skylights Alternative Fuel Vehicles Hydrogen & Fuel Cells Heating Buying & Making Electricity Water Water Heating Wind Program Info State California Program Type Building Energy Code Provider San Francisco San Francisco adopted a mandatory green building code for new construction projects in September 2008, establishing strict guidelines for residential and commercial buildings according to the following schedule:

200

Tenth ARM Science Team Meeting Proceedings, San Antonio, Texas...  

NLE Websites -- All DOE Office Websites (Extended Search)

synop obs not assimilated). Tenth ARM Science Team Meeting Proceedings, San Antonio, Texas, March 13-17, 2000 2 Temperature Errors in the Tropics The model systematic...

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


201

Characterization of the Neutron Detector Upgrade to the GP-SANS and BIO-SANS Instruments at HFIR  

Science Conference Proceedings (OSTI)

Over the past year, new 1 m x 1 m neutron detectors have been installed at both the General Purpose SANS (GP-SANS) and the Bio-SANS instruments at HFIR, each intended as an upgrade to provide improved high rate capability. This paper presents the results of characterization studies performed in the detector test laboratory, including position resolution, linearity and background, as well as a preliminary look at high count rate performance.

Berry, Kevin D [ORNL; Bailey, Katherine M [ORNL; Beal, Justin D [ORNL; Diawara, Yacouba [ORNL; Funk, Loren L [ORNL; Hicks, J Steve [ORNL; Jones, Amy Black [ORNL; Littrell, Ken [ORNL; Summers, Randy [ORNL; Urban, Volker S [ORNL; Vandergriff, David H [ORNL; Johnson, Nathan [GE Energy Services; Bradley, Brandon [GE Energy Services

2012-01-01T23:59:59.000Z

202

Bio-SANS: the Biological Small-Angle Neutron Scattering Instrument...  

NLE Websites -- All DOE Office Websites (Extended Search)

Biological Small-Angle Neutron Scattering Instrument at HFIR Detector tanks for the new SANS instruments at HFIR. The Bio-SANS detector is on the right. Detector tanks for the SANS...

203

A Monte Carlo model for seeded atomic flows in the transition regime  

Science Conference Proceedings (OSTI)

A simple model for the numerical determination of separation effects in seeded atomic gas flows is presented. The model is based on the known possibility to provide a statistically convergent estimate of the exact solution for a linear transport equation ... Keywords: Compressible flows, Monte Carlo simulation, Multi-component flows, Numerical methods, Rarefied flows

S. Longo; P. Diomede

2009-06-01T23:59:59.000Z

204

Quantum Monte Carlo Endstation for Petascale Computing  

Science Conference Proceedings (OSTI)

The major achievements enabled by QMC Endstation grant include * Performance improvement on clusters of x86 multi-core systems, especially on Cray XT systems * New and improved methods for the wavefunction optimizations * New forms of trial wavefunctions * Implementation of the full application on NVIDIA GPUs using CUDA The scaling studies of QMCPACK on large-scale systems show excellent parallel efficiency up to 216K cores on Jaguarpf (Cray XT5). The GPU implementation shows speedups of 10-15x over the CPU implementation on older generation of x86. We have implemented hybrid OpenMP/MPI scheme in QMC to take advantage of multi-core shared memory processors of petascale systems. Our hybrid scheme has several advantages over the standard MPI-only scheme. * Memory optimized: large read-only data to store one-body orbitals and other shared properties to represent the trial wave function and many-body Hamiltonian can be shared among threads, which reduces the memory footprint of a large-scale problem. * Cache optimized: the data associated with an active Walker are in cache during the compute-intensive drift-diffusion process and the operations on an Walker are optimized for cache reuse. Thread-local objects are used to ensure the data affinity to a thread. * Load balanced: Walkers in an ensemble are evenly distributed among threads and MPI tasks. The two-level parallelism reduces the population imbalance among MPI tasks and reduces the number of point-to-point communications of large messages (serialized objects) for the Walker exchange. * Communication optimized: the communication overhead, especially for the collective operations necessary to determine ET and measure the properties of an ensemble, is significantly lowered by using less MPI tasks. The multiple forms of parallelism afforded by QMC algorithms make them ideal candidates for acceleration in the many-core paradigm. We presented the results of our effort to port the QMCPACK simulation code to the NVIDIA CUDA GPU platform. We restructured the CPU algorithms to express additional parallelism, minimize GPU-CPU communication, and efficiently utilize the GPU memory hierarchy. Using mixed precision on GT200 GPUs and MPI for intercommunication and load balancing, we observe typical full-application speedups of approximately 10x to 15x relative to quad-core Xeon CPUs alone, while reproducing the double-precision CPU results within statistical error. We developed an all-electron quantum Monte Carlo (QMC) method for solids that does not rely on pseudopotentials, and used it to construct a primary ultra-high-pressure calibration based on the equation of state of cubic boron nitride. We computed the static contribution to the free energy with the QMC method and obtained the phonon contribution from density functional theory, yielding a high-accuracy calibration up to 900 GPa usable directly in experiment. We computed the anharmonic Raman frequency shift with QMC simulations as a function of pressure and temperature, allowing optical pressure calibration. In contrast to present experimental approaches, small systematic errors in the theoretical EOS do not increase with pressure, and no extrapolation is needed. This all-electron method is applicable to first-row solids, providing a new reference for ab initio calculations of solids and benchmarks for pseudopotential accuracy. We compared experimental and theoretical results on the momentum distribution and the quasiparticle renormalization factor in sodium. From an x-ray Compton-profile measurement of the valence-electron momentum density, we derived its discontinuity at the Fermi wavevector finding an accurate measure of the renormalization factor that we compared with quantum-Monte-Carlo and G0W0 calculations performed both on crystalline sodium and on the homogeneous electron gas. Our calculated results are in good agreement with the experiment. We have been studying the heat of formation for various Kubas complexes of molecular hydrogen on Ti(1,2)ethylene-nH2 using Diffusion Monte Carlo. This work has been started and is o

David Ceperley

2011-03-02T23:59:59.000Z

205

Monte Carlo Renormalization Group: a review  

Science Conference Proceedings (OSTI)

The logic and the methods of Monte Carlo Renormalization Group (MCRG) are reviewed. A status report of results for 4-dimensional lattice gauge theories derived using MCRG is presented. Existing methods for calculating the improved action are reviewed and evaluated. The Gupta-Cordery improved MCRG method is described and compared with the standard one. 71 refs., 8 figs.

Gupta, R.

1985-01-01T23:59:59.000Z

206

Monte Carlo simulation of the Massachusetts Institute of Technology Research Reactor  

SciTech Connect

The three-dimensional continuous-energy MCNP Monte Carlo code is used to develop a versatile and accurate reactor physics model of the Massachusetts Institute of Technology Research Reactor 2 (MITR-2). The validation of the model against existing experimental data is presented. Core multiplication factors as well as fast neutron in-core flux measurements were used in the validation process. The agreement between the MCNP predictions and the experimentally determined values is very good, which indicates that the Monte Carlo model is correctly simulating the MITR-2.

Redmond, E.L. II; Yanch, J.C.; Harling, O.K. (Massachusetts Inst. of Tech., Cambridge, MA (United States). Nuclear Engineering Dept.)

1994-04-01T23:59:59.000Z

207

Relevance of accurate Monte Carlo modeling in nuclear medical imaging  

Science Conference Proceedings (OSTI)

Monte Carlo techniques have become popular in different areas of medical physics with advantage of powerful computing systems. In particular

Habib Zaidi

1999-01-01T23:59:59.000Z

208

Success Story: Naval Medical Center San Diego Co-Generation Project...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Success Story: Naval Medical Center San Diego Co-Generation Project Success Story: Naval Medical Center San Diego Co-Generation Project Presentation covers the FUPWG Fall Meeting,...

209

The Thermal Regime Of The San Juan Basin Since Late Cretaceous...  

Open Energy Info (EERE)

Thermal Regime Of The San Juan Basin Since Late Cretaceous Times And Its Relationship To San Juan Mountains Thermal Sources Jump to: navigation, search GEOTHERMAL ENERGYGeothermal...

210

Flow Test At San Emidio Desert Area (DOE GTP) | Open Energy Informatio...  

Open Energy Info (EERE)

Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Flow Test At San Emidio Desert Area (DOE GTP) Exploration Activity Details Location San Emidio...

211

TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY  

E-Print Network (OSTI)

6 TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY Peter C. Chu and Kleanthis, Inc., 70 Dean Knauss Drive, Narragansett, RI 02882, USA ABSTRACT A coupled hydrodynamic-chemical spill model is used to investigate the chemical spill in the San Diego Bay. The hydrodynamic model shows

Chu, Peter C.

212

Partici~1Y Leaming on the San Pedro  

E-Print Network (OSTI)

the Crystal Ball Together Holly E. Richter - The Nature Conservancy The waters of the San Pedro River the regional aquifer to both the alluvial aquifer and baseflows in the river is essential to sustain the lush Vista subwatershed residents and the San Pedro River. Members include elected officials, business

213

AN OVERVIEW OF SAN DIEGO COUNTY'S RESOURCE RECOVERY PLANT  

E-Print Network (OSTI)

to perform co-firing of pyrofuel with the residual oil to San Diego Gas & Electric Company's 980,000 lb of the boiler and at various co-firing ratios of pyrofuel to residual oil. San Diego Gas & Electric Company's engineers will evaluate the combustion characteristics during co-firing of the fuel to the boiler

Columbia University

214

Condensed history Monte Carlo methods for photon transport problems  

Science Conference Proceedings (OSTI)

We study methods for accelerating Monte Carlo simulations that retain most of the accuracy of conventional Monte Carlo algorithms. These methods - called Condensed History (CH) methods - have been very successfully used to model the transport of ionizing ... Keywords: Condensed history models, Monte Carlo methods, Radiative transport equation

Katherine Bhan; Jerome Spanier

2007-08-01T23:59:59.000Z

215

Solving Systems of Linear Equations with Relaxed Monte Carlo Method  

Science Conference Proceedings (OSTI)

The problem of solving systems of linear algebraic equations by parallel Monte Carlo numerical methods is considered. A parallel Monte Carlo method with relaxation is presented. This is a report of a research in progress, showing the effectiveness of ... Keywords: Monte Carlo method, linear solver, parallel algorithms, systems of linear algebraic equations

Chih Jeng Kenneth Tan

2002-05-01T23:59:59.000Z

216

Wind resource assessment: San Nicolas Island, California  

DOE Green Energy (OSTI)

San Nicolas Island (SNI) is the site of the Navy Range Instrumentation Test Site which relies on an isolated diesel-powered grid for its energy needs. The island is located in the Pacific Ocean 85 miles southwest of Los Angeles, California and 65 miles south of the Naval Air Weapons Station (NAWS), Point Mugu, California. SNI is situated on the continental shelf at latitude N33{degree}14` and longitude W119{degree}27`. It is approximately 9 miles long and 3.6 miles wide and encompasses an area of 13,370 acres of land owned by the Navy in fee title. Winds on San Nicolas are prevailingly northwest and are strong most of the year. The average wind speed is 7.2 m/s (14 knots) and seasonal variation is small. The windiest months, March through July, have wind speeds averaging 8.2 m/s (16 knots). The least windy months, August through February, have wind speeds averaging 6.2 m/s (12 knots).

McKenna, E. [National Renewable Energy Lab., Golden, CO (United States); Olsen, T.L. [Timothy L. Olsen Consulting, (United States)

1996-01-01T23:59:59.000Z

217

San Gorgonio Farms (repower) Wind Farm | Open Energy Information  

Open Energy Info (EERE)

repower) Wind Farm repower) Wind Farm Jump to: navigation, search Name San Gorgonio Farms (repower) Wind Farm Facility San Gorgonio Farms (repower) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner San Gorgonio Farms Developer San Gorgonio Farms Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

218

Clean Cities: Silicon Valley Clean Cities (San Jose) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Silicon Valley Clean Cities (San Jose) Coalition Silicon Valley Clean Cities (San Jose) Coalition The Silicon Valley Clean Cities (San Jose) coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Silicon Valley Clean Cities (San Jose) coalition Contact Information Margo Sidener 408-998-5865 margo@lungsrus.org Patricia Tind 408-998-5865 patricia@lungsrus.org Coalition Website Clean Cities Coordinators Coord Margo Sidener Coord Coord Patricia Tind Coord Photo of Margo Sidener Margo Sidener has been the coordinator of the Silicon Valley (San Jose) Clean Cities coalition since 2006. She also serves as the president and CEO of Breathe California of the Bay Area, the "Local Clean Air and Healthy Lungs Leader," a nonprofit grassroots organization founded in 1911 to fight

219

Clean Cities: Alamo Area Clean Cities (San Antonio) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Alamo Area Clean Cities (San Antonio) Coalition Alamo Area Clean Cities (San Antonio) Coalition The Alamo Area Clean Cities (San Antonio) coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Alamo Area Clean Cities (San Antonio) coalition Contact Information Yliana Flores 210-918-1299 yflores@aacog.com Coalition Website Clean Cities Coordinator Yliana Flores Photo of Yliana Flores Yliana Flores is the interim coordinator for the Alamo Area Clean Cities Coalition in San Antonio, TX where she works to develop events and partnerships that align with the goals of Clean Cities. Yliana joined Alamo Area Clean Cities in 2010 as an intern through Public Allies, a 10-month long AmeriCorps program designed to strengthen communities through

220

Clean Cities: San Diego Regional Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Diego Regional Clean Cities Coalition Diego Regional Clean Cities Coalition The San Diego Regional Clean Cities coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. San Diego Regional Clean Cities coalition Contact Information Mike Ferry 858-244-7287 mike.ferry@energycenter.org Kevin Wood 858-244-7295 kevin.wood@energycenter.org Coalition Website Clean Cities Coordinators Coord Mike Ferry Coord Coord Kevin Wood Coord Photo of Mike Ferry Mike Ferry is the Transportation Programs Manager at the California Center for Sustainable Energy (CCSE), a nonprofit organization located in San Diego, CA, and is the coordinator of the San Diego Regional Clean Cities Coalition, San Diego's Clean Cities organization. In these roles, Mike

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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

San Emido Geothermal Energy North Project | Open Energy Information  

Open Energy Info (EERE)

San Emido Geothermal Energy North Project San Emido Geothermal Energy North Project Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home NEPA Document Collection for: San Emido Geothermal Energy North Project EA at San Emidio Desert Geothermal Area for Geothermal/Power Plant, Geothermal/Well Field, {{{NEPA_Name}}} General NEPA Document Info Energy Sector Geothermal energy Environmental Analysis Type EA Applicant USG Nevada LLC Geothermal Area San Emidio Desert Geothermal Area Project Location Nevada Project Phase Geothermal/Power Plant, Geothermal/Well Field Techniques Production Wells Comments USG Nevada submitted Utilization POU on 7/25/2013 Time Frame (days) Participating Agencies Lead Agency BLM Funding Agency none provided Managing District Office Winnemucca Managing Field Office BLM Black Rock

222

Sycamore San Diego Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

San Diego Biomass Facility San Diego Biomass Facility Jump to: navigation, search Name Sycamore San Diego Biomass Facility Facility Sycamore San Diego Sector Biomass Facility Type Landfill Gas Location San Diego County, California Coordinates 33.0933809°, -116.6081653° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.0933809,"lon":-116.6081653,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

223

National Park Service - San Miguel Island, California | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Miguel Island, California San Miguel Island, California National Park Service - San Miguel Island, California October 7, 2013 - 10:00am Addthis Photo of Wind/Photovoltaic Power System at San Miguel Island San Miguel Island is one of five islands that make up Channel Islands National Park on the coast of southern California. The islands comprise 249,353 acres (100,910 hectares) of land and ocean that teems with terrestrial and marine life. The National Park Service (NPS) protects the pristine resources at Channel Islands National Park by conserving, recycling, using alternative fuel vehicles, applying renewable energy, and using resources wisely. It also seeks to replace conventional fuels with renewable energy wherever possible. This applies especially to diesel fuel and petroleum, which must

224

San Antonio's City Lights program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Antonio's City Lights program San Antonio's City Lights program San Antonio's City Lights program Addthis KBK to the Trade 1 of 5 KBK to the Trade Thanks to the City Lights program, this design shop is saving an estimated 25,500 kilowatt-hours and $2,000 on electricity bills each year. | Photo Credit: City of San Antonio Date taken: 2011-05-24 15:06 Gallista Gallery 2 of 5 Gallista Gallery Joe Lopez, artist and owner of the Gallista Gallery, received energy and money-saving lights through the City Lights program. "We compared our bills to last year and we have seen a decrease...They should have more programs like this... Small businesses need help. We struggle as a small business, every little bit helps." | Photo Credit: City of San Antonio Date taken: 2011-05-25 15:02 Ronald McDonald House

225

San Miguel Power Association - Renewable Energy Rebate Program | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Miguel Power Association - Renewable Energy Rebate Program San Miguel Power Association - Renewable Energy Rebate Program San Miguel Power Association - Renewable Energy Rebate Program < Back Eligibility Commercial Nonprofit Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Wind Maximum Rebate Residential PV: $3,000, or 50% of the cost Commercial PV: $10,000, or 50% of the cost Small Wind: $3,000, or 50% of the cost Program Info Start Date 4/19/2010 Expiration Date When funding is exhausted State Colorado Program Type Utility Rebate Program Rebate Amount PV and Wind: $1.00 per watt DC Solar Water Heating: $1,500 Provider San Miguel Power Association San Miguel Power Association (SMPA) is providing rebates to its residential and commercial customers for installing photovoltaic (PV), small wind, and

226

FUPWG Meeting Agenda - San Diego, CA | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Diego, CA Diego, CA FUPWG Meeting Agenda - San Diego, CA October 7, 2013 - 2:59pm Addthis FUPWG Fall 2007 - San Diego, California: Clean and Green November 28 - 29, 2007 Hosted by San Diego Gas & Electric Tuesday, November 27, 2007 8:00 - 5:00 Utility Energy Service Contract (UESC) 5:30 pm Steering Committee Meeting - Pacific Ballroom 6:30 pm Networking Dinner - Elephant Castle Restaurant and Pub Hosted by: San Diego Gas and Electric - A Sempra Energy utility logo FEMP logo Wednesday, November 28, 2007 7:45 - 8:30 Registration/Continental Breakfast 8:30 - 8:45 San Diego Gas & Electric Welcome Rick Morrow 8:45 - 9:15 FEMP Welcome and Attendee Introductions David McAndrew, FEMP 9:15 - 9:45 Washington Update David McAndrew, FEMP FEMP Updates Legislative Update Strategic Action Plan Update

227

City of San Diego - Sustainable Building Expedited Permit Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Diego - Sustainable Building Expedited Permit Program San Diego - Sustainable Building Expedited Permit Program City of San Diego - Sustainable Building Expedited Permit Program < Back Eligibility Commercial Industrial Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Solar Buying & Making Electricity Program Info Start Date 05/20/2003 State California Program Type Green Building Incentive Provider City of San Diego In 2002, the City of San Diego passed a Resolution R-298001, which amended the [http://dsireusa.org/incentives/incentive.cfm?Incentive_Code=CA42R&re=1&ee=1 Sustainable Building Policy] to allow for expedited permitting for sustainable buildings. Sustainable buildings are defined in Policy Number

228

San Joaquin-Tulare Conjunctive Use Model: Detailed model description  

DOE Green Energy (OSTI)

The San Joaquin - Tulare Conjunctive Use Model (SANTUCM) was originally developed for the San Joaquin Valley Drainage Program to evaluate possible scenarios for long-term management of drainage and drainage - related problems in the western San Joaquin Valley of California. A unique aspect of this model is its coupling of a surface water delivery and reservoir operations model with a regional groundwater model. The model also performs salinity balances along the tributaries and along the main stem of the San Joaquin River to allow assessment of compliance with State Water Resources Control Board water quality objectives for the San Joaquin River. This document is a detailed description of the various subroutines, variables and parameters used in the model.

Quinn, N.W.T.

1992-03-01T23:59:59.000Z

229

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0, 2009 0, 2009 CX-000254: Categorical Exclusion Determination California County San Bernardino CX(s) Applied: A9, A11, B5.1 Date: 12/20/2009 Location(s): San Bernardino County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2009 CX-000253: Categorical Exclusion Determination California County Monterey CX(s) Applied: A9, A11, B5.1 Date: 12/20/2009 Location(s): Monterey County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2009 CX-000252: Categorical Exclusion Determination California City San Jose CX(s) Applied: A9, A11, B5.1 Date: 12/20/2009 Location(s): San Jose, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2009 CX-000251: Categorical Exclusion Determination

230

Beneficial Reuse of San Ardo Produced Water  

SciTech Connect

This DOE funded study was performed to evaluate the potential for treatment and beneficial reuse of produced water from the San Ardo oilfield in Monterey County, CA. The potential benefits of a successful full-scale implementation of this project include improvements in oil production efficiency and additional recoverable oil reserves as well as the addition of a new reclaimed water resource. The overall project was conducted in two Phases. Phase I identified and evaluated potential end uses for the treated produced water, established treated water quality objectives, reviewed regulations related to treatment, transport, storage and use of the treated produced water, and investigated various water treatment technology options. Phase II involved the construction and operation of a small-scale water treatment pilot facility to evaluate the process's performance on produced water from the San Ardo oilfield. Cost estimates for a potential full-scale facility were also developed. Potential end uses identified for the treated water include (1) agricultural use near the oilfield, (2) use by Monterey County Water Resources Agency (MCWRA) for the Salinas Valley Water Project or Castroville Seawater Intrusion Project, (3) industrial or power plant use in King City, and (4) use for wetlands creation in the Salinas Basin. All of these uses were found to have major obstacles that prevent full-scale implementation. An additional option for potential reuse of the treated produced water was subsequently identified. That option involves using the treated produced water to recharge groundwater in the vicinity of the oil field. The recharge option may avoid the limitations that the other reuse options face. The water treatment pilot process utilized: (1) warm precipitation softening to remove hardness and silica, (2) evaporative cooling to meet downstream temperature limitations and facilitate removal of ammonia, and (3) reverse osmosis (RO) for removal of dissolved salts, boron, and organics. Pilot study results indicate that produced water from the San Ardo oilfield can be treated to meet project water quality goals. Approximately 600 mg/l of caustic and 100 mg/l magnesium dosing were required to meet the hardness and silica goals in the warm softening unit. Approximately 30% of the ammonia was removed in the cooling tower; additional ammonia could be removed by ion exchange or other methods if necessary. A brackish water reverse osmosis membrane was effective in removing total dissolved solids and organics at all pH levels evaluated; however, the boron treatment objective was only achieved at a pH of 10.5 and above.

Robert A. Liske

2006-07-31T23:59:59.000Z

231

Status of Monte Carlo at Los Alamos  

SciTech Connect

At Los Alamos the early work of Fermi, von Neumann, and Ulam has been developed and supplemented by many followers, notably Cashwell and Everett, and the main product today is the continuous-energy, general-purpose, generalized-geometry, time-dependent, coupled neutron-photon transport code called MCNP. The Los Alamos Monte Carlo research and development effort is concentrated in Group X-6. MCNP treats an arbitrary three-dimensional configuration of arbitrary materials in geometric cells bounded by first- and second-degree surfaces and some fourth-degree surfaces (elliptical tori). Monte Carlo has evolved into perhaps the main method for radiation transport calculations at Los Alamos. MCNP is used in every technical division at the Laboratory by over 130 users about 600 times a month accounting for nearly 200 hours of CDC-7600 time.

Thompson, W.L.; Cashwell, E.D.

1980-01-01T23:59:59.000Z

232

Correlated wavefunction quantum Monte Carlo approach to solids  

DOE Green Energy (OSTI)

A method for calculating the electronic and structural properties of solids using correlated wavefunctions together with quantum Monte Carlo techniques is described. The approach retains the exact Coulomb interaction between the electrons and employs a many-electron wavefunction of the Jastrow-Slater form. Several examples are given to illustrate the utility of the method. Topics discussed include the cohesive properties of bulk semiconductors, the magnetic-field- induced Wigner crystal in two dimensions, and the magnetic structure of bcc hydrogen. Landau level mixing is shown to be important in determining the transition between the fractional quantum Hall liquid and the Wigner crystal. Information on electron correlations such as the pair correlation functions which are not accessible to one- electron theories is also obtained. 24 refs, 5 figs, 1 tab.

Louie, S.G.

1992-10-01T23:59:59.000Z

233

San Bernardino County - Green Building Requirement | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bernardino County - Green Building Requirement Bernardino County - Green Building Requirement San Bernardino County - Green Building Requirement < Back Eligibility Local Government Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State California Program Type Energy Standards for Public Buildings In August 2007, the San Bernardino County Board of Supervisors approved a policy requiring that all new county buildings and major renovations be built to LEED Silver standards. The decision was part of the Green County San Bernardino project, which also includes incentives to encourage residents, builders, and businesses to adopt more sustainable practices. Source http://www.dsireusa.org/incentives/incentive.cfm?Incentive_Code=CA73R

234

Geothermal Literature Review At San Francisco Volcanic Field Area (Morgan,  

Open Energy Info (EERE)

Morgan, Morgan, Et Al., 2003) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermal Literature Review At San Francisco Volcanic Field Area (Morgan, Et Al., 2003) Exploration Activity Details Location San Francisco Volcanic Field Area Exploration Technique Geothermal Literature Review Activity Date Usefulness not indicated DOE-funding Unknown References Paul Morgan, Wendell Duffield, John Sass, Tracey Felger (2003) Searching For An Electrical-Grade Geothermal Resource In Northern Arizona To Help Geopower The West Retrieved from "http://en.openei.org/w/index.php?title=Geothermal_Literature_Review_At_San_Francisco_Volcanic_Field_Area_(Morgan,_Et_Al.,_2003)&oldid=510822" Category: Exploration Activities What links here

235

San Joaquin Final EA December 2011--Main Volume  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Final Environmental Assessment Final Environmental Assessment for Right-of-Way Maintenance in the San Joaquin Valley, California December 2011 Prepared for: Western Area Power Administration, Sierra Nevada Region San Joaquin Valley ROW Maintenance EA This page intentionally left blank San Joaquin Valley ROW Maintenance EA December 2011 iii Final EA CONTENTS 1.0 PURPOSE AND NEED FOR ACTION ...................................................................... 1-1 1.1 Introduction ............................................................................................. 1-1 1.2 Background ............................................................................................. 1-1 1.3 Purpose and Need for Action .................................................................. 1-3

236

San Juanico Hybrid System Technical and Institutional Assessment: Preprint  

DOE Green Energy (OSTI)

San Juanico is a fishing village of approximately 120 homes in the Municipality of Comondu, Baja California. In April, 1999, a hybrid power system was installed in San Juanico to provide 24-hour power, which was not previously available. Before the installation of the hybrid power system, a field study was conducted to characterize the electrical usage and institutional and social framework of San Juanico. One year after the installation of the hybrid power system a''post-electrification'' study was performed to document the changes that had occurred after the installation. In December of 2003, NREL visited the site to conduct a technical assessment of the system.

Corbus, D.; Newcomb, C.; Yewdall, Z.

2004-07-01T23:59:59.000Z

237

San Diego County - Design Standards for County Facilities | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Design Standards for County Facilities Design Standards for County Facilities San Diego County - Design Standards for County Facilities < Back Eligibility Local Government Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Bioenergy Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Energy Sources Solar Wind Other Program Info State California Program Type Energy Standards for Public Buildings Provider San Diego County The San Diego County Board of Supervisors established design standards for county facilities and property. Among other requirements, the policy requires that all new county buildings or major building renovations obtain U.S. Green Building Council (USGBC) LEED Building Certification.

238

Categorical Exclusion Determinations: California | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

February 16, 2011 February 16, 2011 CX-005243: Categorical Exclusion Determination California-City-San Leandro CX(s) Applied: A1, A9, B1.32, B2.5, B5.1 Date: 02/16/2011 Location(s): San Leandro, California Office(s): Energy Efficiency and Renewable Energy February 16, 2011 CX-005203: Categorical Exclusion Determination Investigating the Performance of Residential Thermal Storage Refrigeration (TSR) CX(s) Applied: A9, B3.6 Date: 02/16/2011 Location(s): Davis, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 11, 2011 CX-005238: Categorical Exclusion Determination Wide Area Wireless Distribution Grid Sensor and Faulted Circuit Indicator System for Underground Assets CX(s) Applied: A1, A9, A11, B1.2, B1.7 Date: 02/11/2011 Location(s): San Diego, California

239

Guideline of Monte Carlo calculation. Neutron/gamma ray transport simulation by Monte Carlo method  

E-Print Network (OSTI)

This report condenses basic theories and advanced applications of neutron/gamma ray transport calculations in many fields of nuclear energy research. Chapters 1 through 5 treat historical progress of Monte Carlo methods, general issues of variance reduction technique, cross section libraries used in continuous energy Monte Carlo codes. In chapter 6, the following issues are discussed: fusion benchmark experiments, design of ITER, experiment analyses of fast critical assembly, core analyses of JMTR, simulation of pulsed neutron experiment, core analyses of HTTR, duct streaming calculations, bulk shielding calculations, neutron/gamma ray transport calculations of the Hiroshima atomic bomb. Chapters 8 and 9 treat function enhancements of MCNP and MVP codes, and a parallel processing of Monte Carlo calculation, respectively. An important references are attached at the end of this report.

2002-01-01T23:59:59.000Z

240

Radionuclide concentrations in soils and produce from Cochiti, Jemez, Taos, and San Ildefonso Pueblo Gardens  

SciTech Connect

Radionuclide ({sup 3}H, {sup 90}Sr, {sup 137}Cs, {sup 238}Pu, {sup 239}Pu, and total uranium) concentrations were determined in soils and produce collected from Cochiti, Jemez, Taos, and San Ildefonso Pueblo gardens. All radionuclides in soils from Pueblo areas were within or just above regional statistical (natural and/or worldwide fallout) reference levels. Similarily, the average levels of radionuclides in produce collected from Cochiti, Jemez, Taos, and San Ildefonso Pueblo gardens were not significantly different in produce collected from regional (background) locations. The effective (radiation) dose equivalent from consuming 352 lb of produce from Cochiti, Jemez, Taos, and San Ildefonso, after natural background has been subtracted, was 0.036 ({+-}0.016), 0.072 ({+-}0.051), 0.012 ({+-}0.027), and 0.110 ({+-}0.102) mrem/yr, respectively. The highest calculated dose, based on the mean + 2 std dev (95% confidence level), was 0.314 mrem/yr; this was <0.4% of the International Commission on Radiological Protection permissible dose limit for protecting members of the public.

Fresquez, P.R.; Armstrong, D.R.; Salazar, J.G.

1995-05-01T23:59:59.000Z

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


241

CX-004886: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

86: Categorical Exclusion Determination 86: Categorical Exclusion Determination CX-004886: Categorical Exclusion Determination Copper Indium Gallium Sulfur-Selenide (CIGSS) Manufacturing Plant CX(s) Applied: B1.31 Date: 01/05/2011 Location(s): San Jose, California Office(s): Loan Guarantee Program Office The Department of Energy's proposed action is to issue a loan guarantee to Stion Corporation to retrofit Stion's solar panel manufacturing plant at 6321 San Ignacio Avenue in San Jose, California and expand into an adjacent building at 6331 San Ignacio Avenue in order to establish a 135 megawatt nameplate capacity manufacturing plant. Stion produces monolithically integrated thin film photovoltaic modules using single-junction Copper Indium Gallium Sulfur-Selenide (CIGSS) absorbers. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

242

Monte Carlo Simulations for Mine Detection  

DOE Green Energy (OSTI)

During January, 1998, collaboration between LLNL, UCI and Exdet, Ltd. arranged for the testing and evaluation of a Russian developed antitank mine detection system at the Buried Objects Detection Facility (BODF) located at the Nevada Test Site. BODF is a secured 30-acre facility with approximately 300 live antitank mines that were buried in 1993 and 1994. The burial depths range from a few cm to 15 cm and the various metal- and plastic-case antitank mines each contain 6-12 kg of high explosive. Contractors who have tested their mine detection equipment at BODF include: SAIC, SRI, ERIM, MIT/Lincoln Laboratory and Loral Defense Systems. In addition LLNL researchers have used BODF to test antitank mine detection systems based on: dual-band infrared imaging, hyper-spectral imaging, synthetic aperture impulse radar and micro-impulse radar. In a blind test the Russian operated system obtained the highest score of any technology tested to date at BODF. The system is based on combining information from two separate sensors; one to detect anomalous concentrations of hydrogen and the other to detect if such anomalies also have the correct nitrogen to carbon ratio for high explosives. The detection sensitivity is set by the geometry and type of neutron moderator and filters surrounding the neutron source and detectors. Detection of hydrogen anomalies is a rapid process based on neutron scattering. The handheld instrument on the end of a wand could scan a large area at a rate of 4-5 square meters per minute. Once the hydrogen anomalies were located a second sensor was used to measure the thermal neutron excited gamma-ray spectrum at each hydrogen anomaly to determine whether that location in addition contained high concentrations of nitrogen. The second process was slower, taking up to 5 minutes for each location. The information from both sensors were then examined by the operator and a declaration was made as to whether or not the anomaly was a buried antitank mine. Although the system worked extremely well on all classes of anti-tank mines, the Russian hardware components were inferior to those that are commercially available in the United States, i.e. the NaI(Tl) crystals had significantly higher background levels and poorer resolution than their U.S. counterparts, the electronics appeared to be decades old and the photomultiplier tubes were noisy and lacked gain stabilization circuitry. During the evaluation of this technology, the question that came to mind was: could state-of-the-art sensors and electronics and improved software algorithms lead to a neutron based system that could reliably detect much smaller buried mines; namely antipersonnel mines containing 30-40 grams of high explosive? Our goal in this study was to conduct Monte Carlo simulations to gain better understanding of both phases of the mine detection system and to develop an understanding for the system's overall capabilities and limitations. In addition, we examined possible extensions of this technology to see whether or not state-of-the-art improvements could lead to a reliable anti-personnel mine detection system.

Toor, A.; Marchetti, A.A.

2000-03-14T23:59:59.000Z

243

San Diego Renewable Energy Society | Open Energy Information  

Open Energy Info (EERE)

San Diego Renewable Energy Society San Diego Renewable Energy Society Address P.O. Box 23490 Place San Diego, California Zip 92123 Region Southern CA Area Notes Dedicated to increasing the intelligent use of renewable and sustainable energy technologies in San Diego County Website http://sdres.org/ Coordinates 32.8102534°, -117.1323579° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.8102534,"lon":-117.1323579,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

244

BRIEFINGS ON PHYSICAL SECURITY OF ELECTRICITY SUBSTATIONS - SAN JOSE, CA  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

BRIEFINGS ON PHYSICAL SECURITY OF ELECTRICITY SUBSTATIONS - SAN BRIEFINGS ON PHYSICAL SECURITY OF ELECTRICITY SUBSTATIONS - SAN JOSE, CA BRIEFINGS ON PHYSICAL SECURITY OF ELECTRICITY SUBSTATIONS - SAN JOSE, CA Briefings on Physical Security of Electricity Substations The Department of Energy (DOE) and Department of Homeland Security (DHS), in coordination with the Federal Bureau of Investigation, the Federal Energy Regulatory Commission's Office of Energy Infrastructure Security, the Electricity Sector Information Sharing and Analysis Center (ES-ISAC), North American Electricity Reliability Corporation (NERC), and industry experts, will conduct a series of briefings across the country with electricity sector owners and operators, and local law enforcement on the physical security of electricity substations. The session for FEMA Region IX will be held in San Jose, CA and hosted by

245

Data Acquisition-Manipulation At San Francisco Volcanic Field Area  

Open Energy Info (EERE)

At San Francisco Volcanic Field Area At San Francisco Volcanic Field Area (Warpinski, Et Al., 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Data Acquisition-Manipulation At San Francisco Volcanic Field Area (Warpinski, Et Al., 2004) Exploration Activity Details Location San Francisco Volcanic Field Area Exploration Technique Data Acquisition-Manipulation Activity Date Usefulness not indicated DOE-funding Unknown Notes Northern Arizona University has re-assessed the existing exploration data, geologically mapped the target area, obtained rock samples for age dating and mineral chemistry, performed gravity and magnetic surveys, and integrated these results to identify potential drilling targets and sites. Further work may occur in 2004 or 2005. References

246

San Gorgonio Farms Wind Farm I | Open Energy Information  

Open Energy Info (EERE)

San Gorgonio Farms Wind Farm I San Gorgonio Farms Wind Farm I Facility San Gorgonio Farms Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Energy Purchaser Southern California Edison Co Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

247

San Juan Volcanic Field Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

San Juan Volcanic Field Geothermal Area San Juan Volcanic Field Geothermal Area (Redirected from San Juan Volcanic Field Area) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: San Juan Volcanic Field Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (3) 10 References Area Overview Geothermal Area Profile Location: Colorado Exploration Region: Rio Grande Rift GEA Development Phase: 2008 USGS Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: Click "Edit With Form" above to add content History and Infrastructure Operating Power Plants: 0

248

ENERGY STAR Success Story San Diego Convention Center  

NLE Websites -- All DOE Office Websites (Extended Search)

ENERGY STAR Success Story ENERGY STAR Success Story San Diego Convention Center Since opening 20 years ago, San Diego's bayside convention facility has been a green industry leader and continues to receive accolades for environmental stewardship. The San Diego Convention Center Corporation (SDCCC) joined the Environmental Protection Agency's (EPA) ENERGY STAR program as a partner in 2008. Using the EPA's online energy management and tracking tool, Portfolio Manager, the SDCCC tracked its energy consumption and has improved the facility's overall performance. Since then, the San Diego Convention Center has become a model for other convention and meeting facilities demonstrating the value of benchmarking to improve efficiency and to save money. . The Convention Center is managed and marketed by the SDCCC, a non-profit public

249

San Antonio City Public Service (CPS Energy) - Renewables Portfolio Goal |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Antonio City Public Service (CPS Energy) - Renewables Portfolio San Antonio City Public Service (CPS Energy) - Renewables Portfolio Goal San Antonio City Public Service (CPS Energy) - Renewables Portfolio Goal < Back Eligibility Municipal Utility Savings Category Bioenergy Solar Buying & Making Electricity Wind Program Info State Texas Program Type Renewables Portfolio Standard In 2003 San Antonio's municipal electric utility, City Public Service (CPS Energy) established a goal of meeting 15% of its electrical peak demand with renewable energy by 2020 under its Strategic Energy Plan. In June 2008 the utility announced plans to increase the overall renewables target to 20% by 2020 with at least 100 megawatts (MW) from non-wind renewable energy sources. As of November 2012, the utility had 11% of their peak electric

250

San Diego County - Solar Regulations | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Solar Regulations Solar Regulations San Diego County - Solar Regulations < Back Eligibility Commercial Industrial Residential Savings Category Solar Buying & Making Electricity Program Info State California Program Type Solar/Wind Permitting Standards Provider County of San Diego The County of San Diego has established [http://www.sdcounty.ca.gov/dplu/zoning/formfields/DPLU-316.pdf zoning guidelines] for solar electric systems of varying sizes in the unincorporated areas of San Diego County. Photovoltaic (PV) systems which have their electricity consumed onsite are considered an accessory use in all zone types and are generally permitted as long as they meet the height and setback requirements. PV systems which generate power for offsite use and are located on parcels of land not larger than 10 acres may be allowed

251

Mercury-Contaminated Hydraulic Mining Debris in San Francisco Bay  

E-Print Network (OSTI)

S, and Flegal AR 2008. Mercury in the San Francisco Estuary.may 2010 Mercury-Contaminated Hydraulic Mining Debris in Sancontaminants such as ele- mental mercury and cyanide used in

Bouse, Robin M; Fuller, Christopher C; Luoma, Sam; Hornberger, Michelle I; Jaffe, Bruce E; Smith, Richard E

2010-01-01T23:59:59.000Z

252

Publications from Research Conducted at Bio-SANS | ORNL Neutron...  

NLE Websites -- All DOE Office Websites (Extended Search)

Specifications of the Bio-SANS Instrument Wavelength: 6 < < 25 Wavelength resolution: 9- 45% Q range: 0.0009 -0.8 -1 Sample-to-detector distance: 1.1 - 15.3 m...

253

SANS Study of Highly Irradiated RPV Steels - Programmaster.org  

Science Conference Proceedings (OSTI)

Presentation Title, SANS Study of Highly Irradiated RPV Steels ... In this study, the evolution of Cu-, Ni-, and Mg-enriched precipitates is ... Phase-field Modeling of Grain Growth in Sintered Uranium Dioxide under High Temperature Gradients.

254

The San Diego Hurricane of 2 October 1858  

Science Conference Proceedings (OSTI)

On 2 October 1858, estimated sustained hurricane-force winds produced by a tropical cyclone located a short distance offshore were felt in San Diego, California. Unprecedented damage was done in the city and was described as the severest gale ...

Michael Chenoweth; Christopher Landsea

2004-11-01T23:59:59.000Z

255

City of San Marcos- Distributed Generation Rebate Program (Texas)  

Energy.gov (U.S. Department of Energy (DOE))

The City of San Marcos offers a Distributed Generation Rebate Program for the installation of grid-tied renewable energy systems. The Distributed Generation Rebate Program is offered on a first...

256

Mercury-Contaminated Hydraulic Mining Debris in San Francisco Bay  

E-Print Network (OSTI)

may 2010 Mercury-Contaminated Hydraulic Mining Debris in SanCA 94025 Abstract The hydraulic gold-mining process usedsediment created by hydraulic gold mining in the Sierra

Bouse, Robin M; Fuller, Christopher C; Luoma, Sam; Hornberger, Michelle I; Jaffe, Bruce E; Smith, Richard E

2010-01-01T23:59:59.000Z

257

2012 National Electric Transmission Congestion Study- San Diego Workshop  

Energy.gov (U.S. Department of Energy (DOE))

On December 15, 2011, DOE hosted a regional pre-study workshopin San Diego, CA to receive input and suggestions concerning the 2012 National Electric Transmission Congestion Study. The workshop...

258

San Diego Gas and Electric | OpenEI Community  

Open Energy Info (EERE)

Area Network Devices With Smart Meters OpenEI San Diego Gas and Electric Smart Meters Smartgrid article reposted from Smartgrid.gov Syndicate content 429 Throttled (bot load) Error...

259

California - San Joaquin Basin Onshore Dry Natural Gas Proved...  

Annual Energy Outlook 2012 (EIA)

Dry Natural Gas Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Dry Natural Gas Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

260

California - San Joaquin Basin Onshore Crude Oil Proved Reserves ...  

U.S. Energy Information Administration (EIA)

California - San Joaquin Basin Onshore Crude Oil Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1970's:

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


261

San Antonio's City Lights program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

program, this design shop is saving an estimated 25,500 kilowatt-hours and 2,000 on electricity bills each year. | Photo Credit: City of San Antonio Date taken: Tue,...

262

City of San Diego- Sustainable Building Expedited Permit Program  

Energy.gov (U.S. Department of Energy (DOE))

In 2002, the City of San Diego passed a Resolution R-298001, which amended the [http://dsireusa.org/incentives/incentive.cfm?Incentive_Code=CA42R&re=1&ee=1 Sustainable Building Policy] to...

263

NCNR NG3-SANS Instrument Schedule B. Hammouda Tel ...  

Science Conference Proceedings (OSTI)

... oxide) in Maryland)+ D Ho Water/ethanol mixtures Nov 7 3 J ... N. 13598 UD Scattering Class Lab 10CB Butler ... C Nov 18 1 SANS Staff (12 Feasibility ...

264

NCNR NG3-SANS Instrument Schedule B. Hammouda Tel ...  

Science Conference Proceedings (OSTI)

... membranes Apr 28 2 Y Li (SUNY-Stony 6414 SANS Study of ZrTiYOx TBC 9P Hammouda Brook)+ A Allen S19-46 and SOFC membrane (NIST ...

265

City of San Francisco - Residential Efficiency Rebates | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

40% energy reduction: 4,000 Lower Income Households: Bonus 1,000 Single family homeowners in San Francisco's PG&E territory can receive Green Home Assessments, providing...

266

Two Milling Stone Inventories from Northern San Diego County, California  

E-Print Network (OSTI)

2, pp. 233-261 (1982). Two Milling Stone Inventories from5. Manos from Rincon 301. MILLING STONE INVENTORIES FROM SANd-e) from Rincon 301. MILLING STONE INVENTORIES FROM SAN

True, D. L; Beemer, Eleanor

1982-01-01T23:59:59.000Z

267

NCNR NG7-SANS Instrument Schedule P. Butler Tel: (301) ...  

Science Conference Proceedings (OSTI)

... cell ToR-SANS SE Liu K. Gurney NIST commissioning tests Sep 10 4 A Eberle+H King 17634 Shale rock porosity NPC Liu (ExxonMobil) EXX Sep ...

268

City of San Francisco - Solar Energy Incentive Program | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

City of San Francisco - Solar Energy Incentive Program City of San Francisco - Solar Energy Incentive Program City of San Francisco - Solar Energy Incentive Program < Back Eligibility Commercial Industrial Low-Income Residential Multi-Family Residential Nonprofit Residential Savings Category Solar Buying & Making Electricity Maximum Rebate Multi-family residential owned by a non-profit: $60,000 Commercial: $10,000 Non-residential buildings owned by a non-profit: $120,000 Program Info Start Date 12/11/2007 State California Program Type Local Rebate Program Rebate Amount Residential: $2,000 - $2,750 Low-income Residential: $7,800 - $10,750 Multi-family residential owned by a non-profit: $3,500/kW Commercial: $1,500 per kW Non-residential buildings owned by a non-profit: $1,500/kW Provider San Francisco Public Utilities Commission

269

Keeping America Competitive: A Solar Manufacturing Boost In San Diego |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Keeping America Competitive: A Solar Manufacturing Boost In San Keeping America Competitive: A Solar Manufacturing Boost In San Diego Keeping America Competitive: A Solar Manufacturing Boost In San Diego December 19, 2012 - 4:26pm Addthis Soitec's concentrating photovoltaic modules use Fresnel lenses to concentrate sunlight 500 times and focus it onto small, high-efficiency solar cells. | Photo by Matthias Heyde, Fraunhofer Institute. Soitec's concentrating photovoltaic modules use Fresnel lenses to concentrate sunlight 500 times and focus it onto small, high-efficiency solar cells. | Photo by Matthias Heyde, Fraunhofer Institute. Minh Le Minh Le Program Manager, Solar Program What are the key facts? Soitec's first large-scale CPV facility in San Diego is expected to create about 450 direct manufacturing jobs. The project was supported by a $25 million investment from the

270

Fission Matrix Capability for MCNP Monte Carlo  

Science Conference Proceedings (OSTI)

In a Monte Carlo criticality calculation, before the tallying of quantities can begin, a converged fission source (the fundamental eigenvector of the fission kernel) is required. Tallies of interest may include powers, absorption rates, leakage rates, or the multiplication factor (the fundamental eigenvalue of the fission kernel, k{sub eff}). Just as in the power iteration method of linear algebra, if the dominance ratio (the ratio of the first and zeroth eigenvalues) is high, many iterations of neutron history simulations are required to isolate the fundamental mode of the problem. Optically large systems have large dominance ratios, and systems containing poor neutron communication between regions are also slow to converge. The fission matrix method, implemented into MCNP[1], addresses these problems. When Monte Carlo random walk from a source is executed, the fission kernel is stochastically applied to the source. Random numbers are used for: distances to collision, reaction types, scattering physics, fission reactions, etc. This method is used because the fission kernel is a complex, 7-dimensional operator that is not explicitly known. Deterministic methods use approximations/discretization in energy, space, and direction to the kernel. Consequently, they are faster. Monte Carlo directly simulates the physics, which necessitates the use of random sampling. Because of this statistical noise, common convergence acceleration methods used in deterministic methods do not work. In the fission matrix method, we are using the random walk information not only to build the next-iteration fission source, but also a spatially-averaged fission kernel. Just like in deterministic methods, this involves approximation and discretization. The approximation is the tallying of the spatially-discretized fission kernel with an incorrect fission source. We address this by making the spatial mesh fine enough that this error is negligible. As a consequence of discretization we get a spatially low-order kernel, the fundamental eigenvector of which should converge faster than that of continuous kernel. We can then redistribute the fission bank to match the fundamental fission matrix eigenvector, effectively eliminating all higher modes. For all computations here biasing is not used, with the intention of comparing the unaltered, conventional Monte Carlo process with the fission matrix results. The source convergence of standard Monte Carlo criticality calculations are, to some extent, always subject to the characteristics of the problem. This method seeks to partially eliminate this problem-dependence by directly calculating the spatial coupling. The primary cost of this, which has prevented widespread use since its inception [2,3,4], is the extra storage required. To account for the coupling of all N spatial regions to every other region requires storing N{sup 2} values. For realistic problems, where a fine resolution is required for the suppression of discretization error, the storage becomes inordinate. Two factors lead to a renewed interest here: the larger memory available on modern computers and the development of a better storage scheme based on physical intuition. When the distance between source and fission events is short compared with the size of the entire system, saving memory by accounting for only local coupling introduces little extra error. We can gain other information from directly tallying the fission kernel: higher eigenmodes and eigenvalues. Conventional Monte Carlo cannot calculate this data - here we have a way to get new information for multiplying systems. In Ref. [5], higher mode eigenfunctions are analyzed for a three-region 1-dimensional problem and 2-dimensional homogenous problem. We analyze higher modes for more realistic problems. There is also the question of practical use of this information; here we examine a way of using eigenmode information to address the negative confidence interval bias due to inter-cycle correlation. We apply this method mainly to four problems: 2D pressurized water reactor (PWR) [6],

Carney, Sean E. [Los Alamos National Laboratory; Brown, Forrest B. [Los Alamos National Laboratory; Kiedrowski, Brian C. [Los Alamos National Laboratory; Martin, William R. [Los Alamos National Laboratory

2012-09-05T23:59:59.000Z

271

Fission Matrix Capability for MCNP Monte Carlo  

SciTech Connect

In a Monte Carlo criticality calculation, before the tallying of quantities can begin, a converged fission source (the fundamental eigenvector of the fission kernel) is required. Tallies of interest may include powers, absorption rates, leakage rates, or the multiplication factor (the fundamental eigenvalue of the fission kernel, k{sub eff}). Just as in the power iteration method of linear algebra, if the dominance ratio (the ratio of the first and zeroth eigenvalues) is high, many iterations of neutron history simulations are required to isolate the fundamental mode of the problem. Optically large systems have large dominance ratios, and systems containing poor neutron communication between regions are also slow to converge. The fission matrix method, implemented into MCNP[1], addresses these problems. When Monte Carlo random walk from a source is executed, the fission kernel is stochastically applied to the source. Random numbers are used for: distances to collision, reaction types, scattering physics, fission reactions, etc. This method is used because the fission kernel is a complex, 7-dimensional operator that is not explicitly known. Deterministic methods use approximations/discretization in energy, space, and direction to the kernel. Consequently, they are faster. Monte Carlo directly simulates the physics, which necessitates the use of random sampling. Because of this statistical noise, common convergence acceleration methods used in deterministic methods do not work. In the fission matrix method, we are using the random walk information not only to build the next-iteration fission source, but also a spatially-averaged fission kernel. Just like in deterministic methods, this involves approximation and discretization. The approximation is the tallying of the spatially-discretized fission kernel with an incorrect fission source. We address this by making the spatial mesh fine enough that this error is negligible. As a consequence of discretization we get a spatially low-order kernel, the fundamental eigenvector of which should converge faster than that of continuous kernel. We can then redistribute the fission bank to match the fundamental fission matrix eigenvector, effectively eliminating all higher modes. For all computations here biasing is not used, with the intention of comparing the unaltered, conventional Monte Carlo process with the fission matrix results. The source convergence of standard Monte Carlo criticality calculations are, to some extent, always subject to the characteristics of the problem. This method seeks to partially eliminate this problem-dependence by directly calculating the spatial coupling. The primary cost of this, which has prevented widespread use since its inception [2,3,4], is the extra storage required. To account for the coupling of all N spatial regions to every other region requires storing N{sup 2} values. For realistic problems, where a fine resolution is required for the suppression of discretization error, the storage becomes inordinate. Two factors lead to a renewed interest here: the larger memory available on modern computers and the development of a better storage scheme based on physical intuition. When the distance between source and fission events is short compared with the size of the entire system, saving memory by accounting for only local coupling introduces little extra error. We can gain other information from directly tallying the fission kernel: higher eigenmodes and eigenvalues. Conventional Monte Carlo cannot calculate this data - here we have a way to get new information for multiplying systems. In Ref. [5], higher mode eigenfunctions are analyzed for a three-region 1-dimensional problem and 2-dimensional homogenous problem. We analyze higher modes for more realistic problems. There is also the question of practical use of this information; here we examine a way of using eigenmode information to address the negative confidence interval bias due to inter-cycle correlation. We apply this method mainly to four problems: 2D pressurized water reactor (PWR) [6],

Carney, Sean E. [Los Alamos National Laboratory; Brown, Forrest B. [Los Alamos National Laboratory; Kiedrowski, Brian C. [Los Alamos National Laboratory; Martin, William R. [Los Alamos National Laboratory

2012-09-05T23:59:59.000Z

272

Monte Carlo Particle Transport: Algorithm and Performance Overview  

National Nuclear Security Administration (NNSA)

Monte Carlo Particle Transport: Monte Carlo Particle Transport: Algorithm and Performance Overview N. A. Gentile, R. J. Procassini and H. A. Scott Lawrence Livermore National Laboratory, Livermore, California, 94551 Monte Carlo methods are frequently used for neutron and radiation trans- port. These methods have several advantages, such as relative ease of programming and dealing with complex meshes. Disadvantages include long run times and statistical noise. Monte Carlo photon transport calcu- lations also often suffer from inaccuracies in matter temperature due to the lack of implicitness. In this paper we discuss the Monte Carlo algo- rithm as it is applied to neutron and photon transport, detail the differ- ences between neutron and photon Monte Carlo, and give an overview of the ways the numerical method has been modified to deal with issues that

273

Exascale Monte Carlo R&D  

Science Conference Proceedings (OSTI)

Overview of this presentation is (1) Exascale computing - different technologies, getting there; (2) high-performance proof-of-concept MCMini - features and results; and (3) OpenCL toolkit - Oatmeal (OpenCL Automatic Memory Allocation Library) - purpose and features. Despite driver issues, OpenCL seems like a good, hardware agnostic tool. MCMini demonstrates the possibility for GPGPU-based Monte Carlo methods - it shows great scaling for HPC application and algorithmic equivalence. Oatmeal provides a flexible framework to aid in the development of scientific OpenCL codes.

Marcus, Ryan C. [Los Alamos National Laboratory

2012-07-24T23:59:59.000Z

274

Monte Carlo simulations on Graphics Processing Units  

E-Print Network (OSTI)

Implementation of basic local Monte-Carlo algorithms on ATI Graphics Processing Units (GPU) is investigated. The Ising model and pure SU(2) gluodynamics simulations are realized with the Compute Abstraction Layer (CAL) of ATI Stream environment using the Metropolis and the heat-bath algorithms, respectively. We present an analysis of both CAL programming model and the efficiency of the corresponding simulation algorithms on GPU. In particular, the significant performance speed-up of these algorithms in comparison with serial execution is observed.

Vadim Demchik; Alexei Strelchenko

2009-03-17T23:59:59.000Z

275

Discrete diffusion Monte Carlo for frequency-dependent radiative transfer  

SciTech Connect

Discrete Diffusion Monte Carlo (DDMC) is a technique for increasing the efficiency of Implicit Monte Carlo radiative-transfer simulations. In this paper, we develop an extension of DDMC for frequency-dependent radiative transfer. We base our new DDMC method on a frequency-integrated diffusion equation for frequencies below a specified threshold. Above this threshold we employ standard Monte Carlo. With a frequency-dependent test problem, we confirm the increased efficiency of our new DDMC technique.

Densmore, Jeffrey D [Los Alamos National Laboratory; Kelly, Thompson G [Los Alamos National Laboratory; Urbatish, Todd J [Los Alamos National Laboratory

2010-11-17T23:59:59.000Z

276

Numerical study of error propagation in Monte Carlo depletion simulations.  

E-Print Network (OSTI)

??Improving computer technology and the desire to more accurately model the heterogeneity of the nuclear reactor environment have made the use of Monte Carlo depletion (more)

Wyant, Timothy Joseph

2012-01-01T23:59:59.000Z

277

A Kinetic Monte Carlo Model for Material Aging: Simulations of ...  

Science Conference Proceedings (OSTI)

In this paper, we develop a kinetic Monte Carlo framework aiming at ... A Controlled Stress Energy Minimization Method for Coarse-grained Atomistic Simulation.

278

Visualizing Quantum Monte Carlo Study of Photoprotection via...  

NLE Websites -- All DOE Office Websites (Extended Search)

Photoprotection via Carotenoids in Photosynthetic Centers Quantum Monte Carlo Study of Photoprotection via Carotenoids in Photosynthetic Centers photosynthesisimage30y2004.jpg The...

279

HILO: Quasi Diffusion Accelerated Monte Carlo on Hybrid Architectures  

NLE Websites -- All DOE Office Websites (Extended Search)

HILO: Quasi Diffusion Accelerated Monte Carlo on Hybrid Architectures The Boltzmann transport equation provides high fidelity simulation of a diverse range of kinetic systems....

280

SANS Study of Cellulose Extracted from Switchgrass  

SciTech Connect

AbstractLignocellulosic biomass, an abundant renewable natural resource, has the potential to play a major role in generation of renewable biofuels through its conversion to bio-ethanol. Unfortunately, it is a complex biological composite material that shows significant recalcitrance making it a cost-ineffective feedstock for bioethanol production. Small-angle neutron scattering (SANS) was employed to probe the multi-scale structure of cellulosic materials. Cellulose was extracted from milled native switchgrass and switchgrass that had undergone the dilute acid pretreatment method to disrupt the lignocellulose structure. The high-Q structural feature (Q > 0.07 -1) can be assigned to cellulose fibrils based on comparison with the switchgrass purified by solvent extraction of native and dilute acid pretreated and a commercial preparation of microcrystalline cellulose. Dilute acid pretreatment results in an increase in the smallest structural size, a decrease in the interconnectivity of the fibrils; and no change in the smooth domain boundaries at length scales larger than 1000 .

Pingali, Sai Venkatesh [ORNL; Urban, Volker S [ORNL; Heller, William T [ORNL; McGaughey, Joseph [ORNL; O' Neill, Hugh Michael [ORNL; Foston, Marcus B [ORNL; Myles, Dean A A [ORNL; Ragauskas, Arthur J [ORNL; Evans, Barbara R [ORNL

2010-01-01T23:59:59.000Z

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


281

Energy Monte Carlo (EMCEE) | Open Energy Information  

Open Energy Info (EERE)

Energy Monte Carlo (EMCEE) Energy Monte Carlo (EMCEE) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: EMCEE and Emc2 Agency/Company /Organization: United States Geological Survey Sector: Energy Focus Area: Non-renewable Energy Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: pubs.usgs.gov/pp/pp1713/26/ Country: United States Cost: Free Northern America Coordinates: 37.09024°, -95.712891° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

282

THE MCNPX MONTE CARLO RADIATION TRANSPORT CODE  

SciTech Connect

MCNPX (Monte Carlo N-Particle eXtended) is a general-purpose Monte Carlo radiation transport code with three-dimensional geometry and continuous-energy transport of 34 particles and light ions. It contains flexible source and tally options, interactive graphics, and support for both sequential and multi-processing computer platforms. MCNPX is based on MCNP4B, and has been upgraded to most MCNP5 capabilities. MCNP is a highly stable code tracking neutrons, photons and electrons, and using evaluated nuclear data libraries for low-energy interaction probabilities. MCNPX has extended this base to a comprehensive set of particles and light ions, with heavy ion transport in development. Models have been included to calculate interaction probabilities when libraries are not available. Recent additions focus on the time evolution of residual nuclei decay, allowing calculation of transmutation and delayed particle emission. MCNPX is now a code of great dynamic range, and the excellent neutronics capabilities allow new opportunities to simulate devices of interest to experimental particle physics; particularly calorimetry. This paper describes the capabilities of the current MCNPX version 2.6.C, and also discusses ongoing code development.

WATERS, LAURIE S. [Los Alamos National Laboratory; MCKINNEY, GREGG W. [Los Alamos National Laboratory; DURKEE, JOE W. [Los Alamos National Laboratory; FENSIN, MICHAEL L. [Los Alamos National Laboratory; JAMES, MICHAEL R. [Los Alamos National Laboratory; JOHNS, RUSSELL C. [Los Alamos National Laboratory; PELOWITZ, DENISE B. [Los Alamos National Laboratory

2007-01-10T23:59:59.000Z

283

Quantum Monte Carlo Endstation for Petascale Computing  

SciTech Connect

NCSU research group has been focused on accomplising the key goals of this initiative: establishing new generation of quantum Monte Carlo (QMC) computational tools as a part of Endstation petaflop initiative for use at the DOE ORNL computational facilities and for use by computational electronic structure community at large; carrying out high accuracy quantum Monte Carlo demonstration projects in application of these tools to the forefront electronic structure problems in molecular and solid systems; expanding the impact of QMC methods and approaches; explaining and enhancing the impact of these advanced computational approaches. In particular, we have developed quantum Monte Carlo code (QWalk, www.qwalk.org) which was significantly expanded and optimized using funds from this support and at present became an actively used tool in the petascale regime by ORNL researchers and beyond. These developments have been built upon efforts undertaken by the PI's group and collaborators over the period of the last decade. The code was optimized and tested extensively on a number of parallel architectures including petaflop ORNL Jaguar machine. We have developed and redesigned a number of code modules such as evaluation of wave functions and orbitals, calculations of pfaffians and introduction of backflow coordinates together with overall organization of the code and random walker distribution over multicore architectures. We have addressed several bottlenecks such as load balancing and verified efficiency and accuracy of the calculations with the other groups of the Endstation team. The QWalk package contains about 50,000 lines of high quality object-oriented C++ and includes also interfaces to data files from other conventional electronic structure codes such as Gamess, Gaussian, Crystal and others. This grant supported PI for one month during summers, a full-time postdoc and partially three graduate students over the period of the grant duration, it has resulted in 13 published papers, 15 invited talks and lectures nationally and internationally. My former graduate student and postdoc Dr. Michal Bajdich, who was supported byt this grant, is currently a postdoc with ORNL in the group of Dr. F. Reboredo and Dr. P. Kent and is using the developed tools in a number of DOE projects. The QWalk package has become a truly important research tool used by the electronic structure community and has attracted several new developers in other research groups. Our tools use several types of correlated wavefunction approaches, variational, diffusion and reptation methods, large-scale optimization methods for wavefunctions and enables to calculate energy differences such as cohesion, electronic gaps, but also densities and other properties, using multiple runs one can obtain equations of state for given structures and beyond. Our codes use efficient numerical and Monte Carlo strategies (high accuracy numerical orbitals, multi-reference wave functions, highly accurate correlation factors, pairing orbitals, force biased and correlated sampling Monte Carlo), are robustly parallelized and enable to run on tens of thousands cores very efficiently. Our demonstration applications were focused on the challenging research problems in several fields of materials science such as transition metal solids. We note that our study of FeO solid was the first QMC calculation of transition metal oxides at high pressures.

Lubos Mitas

2011-01-26T23:59:59.000Z

284

The Thermal Regime Of The San Juan Basin Since Late Cretaceous Times And  

Open Energy Info (EERE)

Regime Of The San Juan Basin Since Late Cretaceous Times And Regime Of The San Juan Basin Since Late Cretaceous Times And Its Relationship To San Juan Mountains Thermal Sources Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: The Thermal Regime Of The San Juan Basin Since Late Cretaceous Times And Its Relationship To San Juan Mountains Thermal Sources Details Activities (1) Areas (1) Regions (0) Abstract: Heat-flow and coal-maturation data suggest that the thermal history of the San Juan Basin has been influenced by magmatic and volcanic activity in the San Juan Mountains-San Juan volcanic field located to the north of the Basin. Time-dependent isothermal step models indicate that the observed heat flow may be modelled by a (near) steadystate isothermal step extending from 30-98 km depth whose edge underlies the northern San Juan

285

Recipient: City of San Antonio, Texas ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

970 970 Recipient: City of San Antonio, Texas ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM Activities Determination/ Categorical Exclusion Reviewer's Specific Instructions and Rationale (Restrictions and Allowable Activity) City Lights B5.1 Waste Stream, and Historical Preservation clauses Community Green Retrofit Program B2.5, B5.1 Engineering, waste stream, and historical preservation clauses. Municipal Facility Retrofit Program B5.1 Engineering, waste stream, and historical preservation clauses. Allowable: Any administrative action/audits associated with this activity. Prohibited: Any implementation of projects/construction activities without approval from DOE. Transportation Enhancement Initiative B5.1 Engineering, waste stream, and historical preservation clauses.

286

Solar-energy system performance evaluation. San Anselmo School, San Jose, California, July 1980-March 1981  

DOE Green Energy (OSTI)

The San Anselmo School is a one-story, brick elementary school building located in San Jose, California. The active solar energy system is designed to supply 70% of the heating load and 72% of the cooling load. It is equipped with 3.740 square feet of evacuated tube collectors, 2175-gallon tank for storage, four auxiliary gas-fired absorption chiller/heaters, and a solar-supplied absorption chiller. The measured heating and cooling solar fractions were 9% and 19%, respectively, for an overall solar fraction of 16%, the lowered performance being attributed to severe system control problems. Performance data include the solar savings ratio, conventional fuel savings, system performance factor, and solar system coefficient of performance. Performance data are presented for the overall system and for each subsystem. System operation and solar energy utilization data are included. Also included are a description of the system, performance evaluation techniques, sensor technology, and typical performance data for a month. Weather data are also tabulated. (LEW)

Pakkala, P.A.

1981-01-01T23:59:59.000Z

287

Solar-energy-system performance evaluation. San Anselmo School, San Jose, California, April 1981-March 1982  

DOE Green Energy (OSTI)

The San Anselmo School is a one-story brick elementary school building in San Jose, California. The active solar energy system is designed to supply 70% of the space heating and 72% of the cooling load. It is equipped with 3740 square feet of evacuated tube collectors, a 2175-gallon tank for heat storage, a solar-supplied absorption chiller, and four auxiliary gas-fired absorption chillers/heaters. The measured solar fraction of 19% is far below the expected values and is attributed to severe system control and HVAC problems. Other performance data given for the year include the solar savings ratio, conventional fuel savings, system performance factor, and solar system coefficient of performance. Also tabulated are monthly performance data for the overall solar energy system, collector subsystem, space heating and cooling subsystems. Typical hourly operation data for a day are tabulated, including hourly isolation, collector array temperatures (inlet and outlet), and storage fluid temperatures. The solar energy use and percentage of losses are also graphed. (LEW)

Pakkala, P.A.

1982-01-01T23:59:59.000Z

288

Efficient, automated Monte Carlo methods for radiation transport  

Science Conference Proceedings (OSTI)

Monte Carlo simulations provide an indispensible model for solving radiative transport problems, but their slow convergence inhibits their use as an everyday computational tool. In this paper, we present two new ideas for accelerating the convergence ... Keywords: Computational efficiency, Geometrically convergent Monte Carlo algorithms, Transport equation

Rong Kong; Martin Ambrose; Jerome Spanier

2008-11-01T23:59:59.000Z

289

Adjoint electron-photon transport Monte Carlo calculations with ITS  

Science Conference Proceedings (OSTI)

A general adjoint coupled electron-photon Monte Carlo code for solving the Boltzmann-Fokker-Planck equation has recently been created. It is a modified version of ITS 3.0, a coupled electronphoton Monte Carlo code that has world-wide distribution. The applicability of the new code to radiation-interaction problems of the type found in space environments is demonstrated.

Lorence, L.J.; Kensek, R.P.; Halbleib, J.A. [Sandia National Labs., Albuquerque, NM (United States); Morel, J.E. [Los Alamos National Lab., NM (United States)

1995-02-01T23:59:59.000Z

290

Bold diagrammatic Monte Carlo for the resonant Fermi gas  

E-Print Network (OSTI)

We provide a comprehensive description of the Bold Diagrammatic Monte Carlo algorithm for the normal resonant Fermi gas that was briefly reported and used in [Nature Phys. 8, 366 (2012)] and [arXiv:1303.6245]. Details are given on all key aspects of the scheme: diagrammatic framework, Monte Carlo moves, ultraviolet asymptotics, and resummation techniques.

Van Houcke, K; Prokof'ev, N; Svistunov, B

2013-01-01T23:59:59.000Z

291

Quantum Monte Carlo simulations of solids W. M. C. Foulkes  

E-Print Network (OSTI)

Quantum Monte Carlo simulations of solids W. M. C. Foulkes CMTH Group, Department of Physics and fixed-node diffusion quantum Monte Carlo methods and how they may be used to calculate the properties of quantum many-body effects and serve as benchmarks against which other techniques may be compared

Wu, Zhigang

292

QWalk: A quantum Monte Carlo program for electronic structure  

Science Conference Proceedings (OSTI)

We describe QWalk, a new computational package capable of performing quantum Monte Carlo electronic structure calculations for molecules and solids with many electrons. We describe the structure of the program and its implementation of quantum Monte ... Keywords: Monte Carlo, Quantum mechanics, Stochastic methods

Lucas K. Wagner; Michal Bajdich; Lubos Mitas

2009-05-01T23:59:59.000Z

293

Hybrid algorithms in quantum Monte Carlo  

SciTech Connect

With advances in algorithms and growing computing powers, quantum Monte Carlo (QMC) methods have become a leading contender for high accuracy calculations for the electronic structure of realistic systems. The performance gain on recent HPC systems is largely driven by increasing parallelism: the number of compute cores of a SMP and the number of SMPs have been going up, as the Top500 list attests. However, the available memory as well as the communication and memory bandwidth per element has not kept pace with the increasing parallelism. This severely limits the applicability of QMC and the problem size it can handle. OpenMP/MPI hybrid programming provides applications with simple but effective solutions to overcome efficiency and scalability bottlenecks on large-scale clusters based on multi/many-core SMPs. We discuss the design and implementation of hybrid methods in QMCPACK and analyze its performance on current HPC platforms characterized by various memory and communication hierarchies.

Esler, Kenneth P [ORNL; Mcminis, Jeremy [University of Illinois, Urbana-Champaign; Morales, Miguel A [Lawrence Livermore National Laboratory (LLNL); Clark, Bryan K. [Princeton University; Shulenburger, Luke [Sandia National Laboratory (SNL); Ceperley, David M [ORNL

2012-01-01T23:59:59.000Z

294

Quantum Ice : a quantum Monte Carlo study  

E-Print Network (OSTI)

Ice states, in which frustrated interactions lead to a macroscopic ground-state degeneracy, occur in water ice, in problems of frustrated charge order on the pyrochlore lattice, and in the family of rare-earth magnets collectively known as spin ice. Of particular interest at the moment are "quantum spin ice" materials, where large quantum fluctuations may permit tunnelling between a macroscopic number of different classical ground states. Here we use zero-temperature quantum Monte Carlo simulations to show how such tunnelling can lift the degeneracy of a spin or charge ice, stabilising a unique "quantum ice" ground state --- a quantum liquid with excitations described by the Maxwell action of 3+1-dimensional quantum electrodynamics. We further identify a competing ordered "squiggle" state, and show how both squiggle and quantum ice states might be distinguished in neutron scattering experiments on a spin ice material.

Nic Shannon; Olga Sikora; Frank Pollmann; Karlo Penc; Peter Fulde

2011-05-20T23:59:59.000Z

295

Monte Carlo calculations of channeling radiation  

Science Conference Proceedings (OSTI)

Results of classical Monte Carlo calculations are presented for the radiation produced by ultra-relativistic positrons incident in a direction parallel to the (110) plane of Si in the energy range 30 to 100 MeV. The results all show the characteristic CR(channeling radiation) peak in the energy range 20 keV to 100 keV. Plots of the centroid energies, widths, and total yields of the CR peaks as a function of energy show the power law dependences of ..gamma../sup 1/ /sup 5/, ..gamma../sup 1/ /sup 7/, and ..gamma../sup 2/ /sup 5/ respectively. Except for the centroid energies and power-law dependence is only approximate. Agreement with experimental data is good for the centroid energies and only rough for the widths. Adequate experimental data for verifying the yield dependence on ..gamma.. does not yet exist.

Bloom, S.D.; Berman, B.L.; Hamilton, D.C.; Alguard, M.J.; Barrett, J.H.; Datz, S.; Pantell, R.H.; Swent, R.H.

1981-01-01T23:59:59.000Z

296

San Clemente Island Wind Farm | Open Energy Information  

Open Energy Info (EERE)

San Clemente Island Wind Farm San Clemente Island Wind Farm Jump to: navigation, search Name San Clemente Island Wind Farm Facility San Clemente Island Sector Wind energy Facility Type Community Wind Facility Status In Service Owner U.S. Navy Developer Pacific Industrial Electric Energy Purchaser U.S. Navy Location San Clemente Island CA Coordinates 32.986095°, -118.552138° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.986095,"lon":-118.552138,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

297

Monte Carlo Simulation of Joint Transport of Neutrons Monte Carlo Simulation of Joint Transport of Neutrons  

National Nuclear Security Administration (NNSA)

Monte Carlo Simulation of Joint Transport of Neutrons Monte Carlo Simulation of Joint Transport of Neutrons Monte Carlo Simulation of Joint Transport of Neutrons and Photons and Photons Zhitnik Zhitnik A A . . K K . . , , Artemeva Artemeva E.V., E.V., Bakanov Bakanov V.V., V.V., Donskoy Donskoy E.N., E.N., Zalyalov Zalyalov A.N., A.N., Ivanov Ivanov N.V., N.V., Ognev Ognev S.P., S.P., Ronzhin Ronzhin A.B., A.B., Roslov Roslov V.I., V.I., Semenova Semenova T.V. T.V. RFNC-VNIIEF, 607190, Sarov, RFNC-VNIIEF, 607190, Sarov, Nizhni Nizhni Novgorod region Novgorod region The approaches used at VNIIEF to simulate transport of neutrons and photons in standard (with The approaches used at VNIIEF to simulate transport of neutrons and photons in standard (with surface description of region interfaces) and grid geometries are considered in the paper.

298

A second-quantized red herring in full configuration-interaction Monte Carlo  

E-Print Network (OSTI)

Full configuration-interaction quantum Monte Carlo (FCI-QMC) is a Monte Carlo method that allows for exact solution of the ground state of fermionic Hamiltonians (albeit at exponential cost). FCI-QMC involves stochastic projection to the ground state, working in a basis of second- quantized determinants. While a Fermi sign problem still exists within FCI-QMC, it has been suggested that even without annihilation the sign problem is fundamentally distinct from that of more standard techniques such as diffusion Monte Carlo, as a result of working in determinant space. Furthermore, it is widely believed that this distinction is at least partially responsible for the success of FCI-QMC in mitigating the sign problem. In this paper, we show that second quantization is a red herring; the sign problem of FCI-QMC comes from the conventional instability to a bosonic ground state, and in fact FCI-QMC without annihilation can be equated step-by-step to a first-quantized algorithm where anti-symmetry comes only from initi...

Kolodrubetz, Michael

2012-01-01T23:59:59.000Z

299

Spatial homogenization of thermal feedback regions in Monte Carlo reactor calculations  

SciTech Connect

An integrated thermal-hydraulic feedback module has previously been developed for the Monte Carlo transport solver, MC21. The module incorporates a flexible input format that allows the user to describe heat transfer and coolant flow paths within the geometric model at any level of spatial detail desired. The effect that the varying levels of spatial homogenization of thermal regions has on the accuracy of the Monte Carlo simulations is examined in this study. Six thermal feedback mappings are constructed from the same geometric model of the Calvert Cliffs core. The spatial homogenization of the thermal regions is varied, giving each scheme a different level of detail, and the adequacy of the spatial homogenization is determined based on the eigenvalue produced by each Monte Carlo calculation. The purpose of these numerical experiments is to determine the level of detail necessarily to accurately capture the thermal feedback effect on reactivity. Several different core models are considered: axial-flow only, axial and lateral flow, asymmetry due to control rod insertion, and fuel heating (temperature -dependent cross sections). The thermal results generated by the MC21 thermal feedback module are consistent with expectations. Based upon the numerical experiments conducted it is concluded that the amount of spatial detail necessary to accurately capture the feedback effect on reactivity is relatively small. Homogenization at the assembly level for the Calvert Cliffs PWR model results in a similar power defect to that calculated with individual pin-cells modeled as explicit thermal regions. (authors)

Hanna, B. R.; Gill, D. F.; Griesheimer, D. P. [Bertis Atomic Power Laboratory, Bechtel Marine Propulsion Corporation, P.O. Box 79, West Mifflin, PA 15122 (United States)

2012-07-01T23:59:59.000Z

300

Foraminifera and paleoenvironments in the Etchegoin and lower San Joaquin Formations, west-central San Joaquin valley, California  

SciTech Connect

The Etchegoin and San Joaquin formations preserve a rich stratigraphic record of paleoenvironments, deposition, and tectonics during the late Miocene-Pliocene development of the San Joaquin basin. The distribution of foraminifera within these formations can help constrain this record, which includes final filling of the basin, facies responses to sea level changes, and active movement on the San Andreas fault system. The distribution of foraminifera in core samples is analyzed from seven wells along the west-central San joaquin basin - four from Buena Vista oil field, one from western Elk Hills oil field, and two from an area just south of South Belridge oil field. A model of modern, shallow- to marginal-marine foraminiferal biofacies is used to interpret the Etchegoin-San Joaquin faunal distributions. This modern model distinguishes marsh, tidal channel, intertidal, lagoonal, littoral, and shallow sublittoral environments. Ongoing work calibrating this foraminiferal record to the lithologic and macrofossil records in addition to interpreted depositional systems within these formations will further define relationships between paleoenvironments, relative sea level, and tectonics.

Lagoe, M.B.; Tenison, J.A.; Buehring, R. (Univ. of Texas, Austin (United States))

1991-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination san carlos" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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301

San Diego Gas & Electric Co | Open Energy Information  

Open Energy Info (EERE)

Diego Gas & Electric Co Diego Gas & Electric Co (Redirected from San Diego Gas and Electric Company) Jump to: navigation, search Name San Diego Gas & Electric Co Place San Diego, California Service Territory California Website www.sdge.com Green Button Landing Page www.sdge.com/customer-ser Green Button Reference Page www.sdge.com/green-button Green Button Implemented Yes Utility Id 16609 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO CA Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3]

302

Clean Cities: San Joaquin Valley Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Joaquin Valley Clean Cities Coalition Joaquin Valley Clean Cities Coalition The San Joaquin Valley Clean Cities coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. San Joaquin Valley Clean Cities coalition Contact Information Linda Urata 661-342-8262 iwantcleanair@aim.com Spencer Schluter 661-599-9454 scschluter@gmail.com Coalition Website Clean Cities Coordinators Coord Linda Urata Coord Coord Spencer Schluter Coord Photo of Linda Urata In 2000, Linda Urata became the coordinator of the San Joaquin Valley Clean Cities coalition. Urata works at Kern Council of Governments in Bakersfield, California. There, she coordinates the Kern Energy Watch program, which is a local government and utility company partnership effort

303

San Diego County - Green Building Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Building Program Green Building Program San Diego County - Green Building Program < Back Eligibility Commercial Industrial Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Solar Buying & Making Electricity Program Info State California Program Type Green Building Incentive Provider County of San Diego The County of San Diego has a Green Building Incentive Program designed to promote the use of resource efficient construction materials, water conservation and energy efficiency in new and remodeled residential and commercial buildings. As part of the program, the County will waive the fee for the building permit and plan check for a photovoltaic system. In addition, for qualifying resource conservation measures, the County will

304

City of San Marcos - Energy Efficient Home Rebate Program (Texas) |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

City of San Marcos - Energy Efficient Home Rebate Program (Texas) City of San Marcos - Energy Efficient Home Rebate Program (Texas) City of San Marcos - Energy Efficient Home Rebate Program (Texas) < Back Eligibility Residential Savings Category Home Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Heating & Cooling Commercial Heating & Cooling Heat Pumps Program Info State Texas Program Type Utility Rebate Program Rebate Amount Air Conditioner SEER 14.5: $75/ton Air Conditioner SEER 15.0: $100/ton Air Conditioner SEER 16.0: $125/ton Air Conditioner SEER 17.0: $150/ton Heat Pump SEER 14.5: $100/ton Heat Pump SEER 15.0: $125/ton Heat Pump SEER 16.0: $150/ton Heat Pump SEER 17.0: $175/ton Attic Floor Insulation: (square feet of application area)x(R-value added)x(0.0075) Attic Spray Foam Insulation: (square feet of application area)x(R-value

305

City of San Diego RFP for Power Purchase (PV)  

NLE Websites -- All DOE Office Websites (Extended Search)

City of San Diego City of San Diego Environmental Services Department Energy Conservation and Management Division Request for Proposal For Power Purchase of Renewable Energy (Photovoltaics) For City Facilities The City of San Diego is seeking a firm, or a team of firms, to provide cost effective solar photovoltaic electric generating systems at eight City sites. The City intends to enter into power purchase agreement(s) for terms up to twenty years with solar PV developer(s) at these sites. The developers may also be asked to assist the City with identifying implementing solar PV projects at other sites depending upon the success of the initial program. The City evaluated twenty four facilities that appear to have potential of accommodating solar PV systems ranging in size from 30 kilowatts to 1

306

San Juan Volcanic Field Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

San Juan Volcanic Field Geothermal Area San Juan Volcanic Field Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: San Juan Volcanic Field Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (3) 10 References Area Overview Geothermal Area Profile Location: Colorado Exploration Region: Rio Grande Rift GEA Development Phase: 2008 USGS Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: Click "Edit With Form" above to add content History and Infrastructure Operating Power Plants: 0 No geothermal plants listed. Add a new Operating Power Plant

307

Real Goods Solar San Rafael | Open Energy Information  

Open Energy Info (EERE)

Rafael Rafael Jump to: navigation, search Logo: Real Goods Solar San Rafael Name Real Goods Solar San Rafael Address 27 Simms Street Place San Rafael, California Zip 94901 Sector Solar Year founded 1978 Phone number 415-456-2800 Website http://www.realgoodssolar.com Coordinates 37.9584203°, -122.5046361° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9584203,"lon":-122.5046361,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

308

Mora-San Miguel Elec Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Mora-San Miguel Elec Coop, Inc Mora-San Miguel Elec Coop, Inc Jump to: navigation, search Name Mora-San Miguel Elec Coop, Inc Place New Mexico Utility Id 12901 Utility Location Yes Ownership C NERC Location WECC NERC WECC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Service Commercial Lighting Service-100 W HPS Lighting Lighting Service-175 W MV Lighting Lighting Service-250 W HPS Lighting Lighting Service-400 W MV Lighting Power Service Commercial Residential Service Residential Seasonal Residential Service Residential Average Rates Residential: $0.1480/kWh

309

San Bernardino District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Bernardino District Heating District Heating Low Temperature Geothermal Bernardino District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name San Bernardino District Heating District Heating Low Temperature Geothermal Facility Facility San Bernardino District Heating Sector Geothermal energy Type District Heating Location San Bernardino, California Coordinates 34.1083449°, -117.2897652° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

310

Presentations from San Antonio, Texas Workshop - June 9, 2012 | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Presentations from San Antonio, Texas Workshop - June 9, 2012 Presentations from San Antonio, Texas Workshop - June 9, 2012 Presentations from San Antonio, Texas Workshop - June 9, 2012 Presentations given at the American Society for Engineering Education's Conference by the Department of Energy. Department of Energy Overview (2012 ASEE Conference).ppt Centers of Research Excellence in Science (CREST--June 2012).ppt Office of Electricity Delivery and Energy Reliability (June 2012).ppt Office of Nuclear Energy (June 2012).ppt More Documents & Publications Nuclear Energy University Program: A Presentation to Vice Presidents of Research and Development of Historically Black Colleges and Universities, given by the Office of Nuclear Energy Meeting Materials: June 12, 2012 FY 2013 Consolidated Innovative Nuclear Research FOA (DE-FOA-0000799)

311

San Francisco Volcanic Field Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

San Francisco Volcanic Field Geothermal Area San Francisco Volcanic Field Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: San Francisco Volcanic Field Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (6) 10 References Area Overview Geothermal Area Profile Location: Arizona Exploration Region: Other GEA Development Phase: 2008 USGS Resource Estimate Mean Reservoir Temp: Estimated Reservoir Volume: Mean Capacity: Click "Edit With Form" above to add content History and Infrastructure Operating Power Plants: 0 No geothermal plants listed. Add a new Operating Power Plant

312

FUPWG Meeting Agenda - San Francisco, California | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Francisco, California San Francisco, California FUPWG Meeting Agenda - San Francisco, California October 7, 2013 - 2:39pm Addthis May 22-23, 2013 Hosted by Pacific Gas & Electric Company Wednesday, May 22, 2013 8:30 am Welcome Steve Malnight, Pacific Gas and Electric Company 8:45 am Chairman's Corner David McAndrew, FEMP 9:00 am Washington Update Tim Unruh, FEMP 9:30 am Energy Market Outlook Aaron Johnson, Pacific Gas and Electric Company 10:15 am Networking Break 10:45 am Sustainability in GSA Buildings Ruth Cox, General Services Administration 11:45 am EEI Update Steve Kiesner, Edison Electric Institute 12:15 pm Lunch with Keynote Presentation on Electric Transportation Siva Sethuraman, Pacific Gas and Electric Company 1:30 pm VA/PG&E Case Study Chris Gillis, Pacific Gas and Electric Company

313

Quantification of stochastic uncertainty propagation for Monte Carlo depletion methods in reactor analysis.  

E-Print Network (OSTI)

??The Monte Carlo method provides powerful geometric modeling capabilities for large problem domains in 3-D; therefore, the Monte Carlo method is becoming popular for 3-D (more)

Newell, Quentin Thomas

2011-01-01T23:59:59.000Z

314

Alternative Fuels Data Center: San Diego Prepares for Electric Vehicles in  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

San Diego Prepares for San Diego Prepares for Electric Vehicles in Multi-Unit Dwelling Communities to someone by E-mail Share Alternative Fuels Data Center: San Diego Prepares for Electric Vehicles in Multi-Unit Dwelling Communities on Facebook Tweet about Alternative Fuels Data Center: San Diego Prepares for Electric Vehicles in Multi-Unit Dwelling Communities on Twitter Bookmark Alternative Fuels Data Center: San Diego Prepares for Electric Vehicles in Multi-Unit Dwelling Communities on Google Bookmark Alternative Fuels Data Center: San Diego Prepares for Electric Vehicles in Multi-Unit Dwelling Communities on Delicious Rank Alternative Fuels Data Center: San Diego Prepares for Electric Vehicles in Multi-Unit Dwelling Communities on Digg Find More places to share Alternative Fuels Data Center: San Diego

315

Disaster debris management and recovery of housing stock in San Francisco, CA  

E-Print Network (OSTI)

This thesis investigates the potential effects of a 7.2 magnitude earthquake in San Francisco City, particularly the implications on San Francisco's residential housing stock and impacts on the construction and demolition ...

Saiyed, Zahraa Nazim

2012-01-01T23:59:59.000Z

316

Solid-State Lighting: Opening the Door: San Diego R&D Workshop...  

NLE Websites -- All DOE Office Websites (Extended Search)

Opening the Door: San Diego R&D Workshop Video to someone by E-mail Share Solid-State Lighting: Opening the Door: San Diego R&D Workshop Video on Facebook Tweet about Solid-State...

317

Federal Energy Management Program: U.S. Navy - San Clemente Island...  

NLE Websites -- All DOE Office Websites (Extended Search)

- San Clemente Island, California to someone by E-mail Share Federal Energy Management Program: U.S. Navy - San Clemente Island, California on Facebook Tweet about Federal Energy...

318

Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at Energy Efficiency and Public Health Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at Energy Efficiency...

319

ENERGY STAR Success Story: San Diego Convention Center | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

San Diego Convention Center San Diego Convention Center Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

320

Iterative acceleration methods for Monte Carlo and deterministic criticality calculations  

Science Conference Proceedings (OSTI)

If you have ever given up on a nuclear criticality calculation and terminated it because it took so long to converge, you might find this thesis of interest. The author develops three methods for improving the fission source convergence in nuclear criticality calculations for physical systems with high dominance ratios for which convergence is slow. The Fission Matrix Acceleration Method and the Fission Diffusion Synthetic Acceleration (FDSA) Method are acceleration methods that speed fission source convergence for both Monte Carlo and deterministic methods. The third method is a hybrid Monte Carlo method that also converges for difficult problems where the unaccelerated Monte Carlo method fails. The author tested the feasibility of all three methods in a test bed consisting of idealized problems. He has successfully accelerated fission source convergence in both deterministic and Monte Carlo criticality calculations. By filtering statistical noise, he has incorporated deterministic attributes into the Monte Carlo calculations in order to speed their source convergence. He has used both the fission matrix and a diffusion approximation to perform unbiased accelerations. The Fission Matrix Acceleration method has been implemented in the production code MCNP and successfully applied to a real problem. When the unaccelerated calculations are unable to converge to the correct solution, they cannot be accelerated in an unbiased fashion. A Hybrid Monte Carlo method weds Monte Carlo and a modified diffusion calculation to overcome these deficiencies. The Hybrid method additionally possesses reduced statistical errors.

Urbatsch, T.J.

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination san carlos" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


321

CX-003251: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

51: Categorical Exclusion Determination 51: Categorical Exclusion Determination CX-003251: Categorical Exclusion Determination California-City-South San Francisco CX(s) Applied: A1, A9, A11, B2.5, B5.1 Date: 07/28/2010 Location(s): South San Francisco, California Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. 1) Establish a grant/loan program for attic insulation projects for low/moderate income residents, 2) upgrade lighting at four city facilities, 3) install photovoltaic solar system on the roof of South San Francisco City Hall Annex Building, and 4) prepare a community-wide emissions inventory as part of the climate action plan. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-003251.pdf More Documents & Publications CX-006108: Categorical Exclusion Determination

322

CX-004013: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

13: Categorical Exclusion Determination 13: Categorical Exclusion Determination CX-004013: Categorical Exclusion Determination Regional Energy Innovation and Commercialization CX(s) Applied: A9, A11, B5.1 Date: 09/09/2010 Location(s): La Jolla, California Office(s): Energy Efficiency and Renewable Energy The University of California San Diego and San Diego State University are partnering to address deficiencies in the process for translation of research discoveries to the private sector in the clean energy space in the greater San Diego region and accelerate the movement of clean energy innovation from the university laboratory into the marketplace. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-004013.pdf More Documents & Publications 2003 National Middle School Science Bowl CX-009125: Categorical Exclusion Determination

323

Quantum Monte Carlo for electronic structure: Recent developments and applications  

DOE Green Energy (OSTI)

Quantum Monte Carlo (QMC) methods have been found to give excellent results when applied to chemical systems. The main goal of the present work is to use QMC to perform electronic structure calculations. In QMC, a Monte Carlo simulation is used to solve the Schroedinger equation, taking advantage of its analogy to a classical diffusion process with branching. In the present work the author focuses on how to extend the usefulness of QMC to more meaningful molecular systems. This study is aimed at questions concerning polyatomic and large atomic number systems. The accuracy of the solution obtained is determined by the accuracy of the trial wave function`s nodal structure. Efforts in the group have given great emphasis to finding optimized wave functions for the QMC calculations. Little work had been done by systematically looking at a family of systems to see how the best wave functions evolve with system size. In this work the author presents a study of trial wave functions for C, CH, C{sub 2}H and C{sub 2}H{sub 2}. The goal is to study how to build wave functions for larger systems by accumulating knowledge from the wave functions of its fragments as well as gaining some knowledge on the usefulness of multi-reference wave functions. In a MC calculation of a heavy atom, for reasonable time steps most moves for core electrons are rejected. For this reason true equilibration is rarely achieved. A method proposed by Batrouni and Reynolds modifies the way the simulation is performed without altering the final steady-state solution. It introduces an acceleration matrix chosen so that all coordinates (i.e., of core and valence electrons) propagate at comparable speeds. A study of the results obtained using their proposed matrix suggests that it may not be the optimum choice. In this work the author has found that the desired mixing of coordinates between core and valence electrons is not achieved when using this matrix. A bibliography of 175 references is included.

Rodriguez, M.M.S. [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]|[Lawrence Berkeley Lab., CA (United States). Chemical Sciences Div.

1995-04-01T23:59:59.000Z

324

CX-000220: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Categorical Exclusion Determination 0: Categorical Exclusion Determination CX-000220: Categorical Exclusion Determination California County San Diego CX(s) Applied: A9, A11, B3.1, B5.1 Date: 12/02/2009 Location(s): San Diego County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Energy Efficiency and Conservation Block Grant for: Building Systems Controls Automation: Hall of Justice & S. Bay Regional Center, 2008 Building Energy Efficiency Standards Implementation, Existing Home & Business Audit & Retrofit Program, Expedited Renewable Energy Products & Green Building Permit Processing, Photovoltaic Incentive Program, Psychiatric Hospital Lighting Retrofit, Fluorescent Lamp Recycling, Crime Laboratory Solar Electric System, Advance Technology Energy Efficient

325

San Emidio Desert Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

San Emidio Desert Geothermal Area San Emidio Desert Geothermal Area (Redirected from San Emidio Desert Area) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: San Emidio Desert Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (4) 9 Exploration Activities (9) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.38,"lon":-119.4,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

326

Regional Data in Partnership with the San Francisco Exploratorium |  

NLE Websites -- All DOE Office Websites (Extended Search)

Regional Data in Partnership with the San Francisco Exploratorium Regional Data in Partnership with the San Francisco Exploratorium Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Regional Data in Partnership with the San Francisco Exploratorium Dataset Summary Description As a tool to support NOAA's new partnership with the renowned science museum, the Exploratorium, and in collaboration with the Central and Northern California Ocean Observing System and other regional data providers, NOAA has developed a Web page to make it easy to visualize near-real time data in San Francisco Bay. The interface uses Google Maps and the latest AJAX technology to combine and compare data from diverse sources. Users are able to visualize water temperature, salinity, and other station-based measurements along with overlays of satellite measurements of Sea Surface Temperature (SST) and radar measurements of currents. Users are also able to compare time series of measurements from various stations and sources.

327

Manhattan Project: San Ildefonso Pueblo Party</FONT>  

Office of Scientific and Technical Information (OSTI)

SAN ILDEFONSO PUEBLO PARTY SAN ILDEFONSO PUEBLO PARTY Los Alamos (December 1945) Resources > Photo Gallery San Ildefonso Pueblo party, December 1945 A special 1995 issue of the monthly publication of the Los Alamos National Laboratory, "Dateline: Los Alamos," described the party this way: "On a cold December night in 1945, the San Ildefonso Pueblo, a tribe of Native Americans living next to Los Alamos, invited a group of Los Alamos square dancers to their pueblo for an evening of fun and entertainment. The two communities had seen a lot of each other during the war as men and women from the pueblo commuted daily to work at Los Alamos. The association produced a cross fertilization of cultures. "Bernice Brode wrote: 'Some of us had more Indian crafts in our Army apartments than the Indians had in their homes, (and) modern American conveniences such as refrigerators and linoleum began cropping up in the pueblo.' At the dance, the Indians performed for the square dancers and the square dancers performed for the Indians. After the demonstrations, members from the two groups began dancing with each other. Charlie Masters, a teacher at the Los Alamos school, wrote: 'This fiesta-hoedown I like to remember as the climax of our relations with the natives.'

328

California - San Joaquin Basin Onshore Coalbed Methane Proved...  

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

San Joaquin Basin Onshore Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 0 2010's...

329

MFR PAPER 1313 The San Diego Tuna Industry  

E-Print Network (OSTI)

MFR PAPER 1313 The San Diego Tuna Industry and Its Employment Impact on the Local Economy STEVEN the views of the Office of Sea Grant or the National Marine Fisheries Ser- vice. INTRODUCTION Tuna fishing- tivity. Tuna has become a staple of the American diet and its market has ex- panded rapidly. Canned tuna

330

Funnel Clouds in the San Joaquin Valley, California  

Science Conference Proceedings (OSTI)

The authors observed a relatively rare funnel cloud in the northern San Joaquin Valley, California on 21 March 1987. The pattern which occurred in California on that day was similar to that observed with other recent severe weather events in the ...

John P. Monteverdi; Scott A. Braun; Thomas C. Trimble

1988-03-01T23:59:59.000Z

331

San Onofre Nuclear Generating Station - Unit 1 Decommissioning Experience Report  

Science Conference Proceedings (OSTI)

This report provides detailed information on the successful decommissioning activities of San Onofre Nuclear Generating Station, Unit 1 (SONGS 1). The report describes their experiences and lessons learned for managers of US and international plants beginning or currently engaged in decommissioning.

2008-12-04T23:59:59.000Z

332

ASBESTOS PROJECT MANAGEMENT University of California, San Diego  

E-Print Network (OSTI)

(ACM) may be present, and for keeping Environment, Health & Safety (EH&S) informed as the agent and Renovation, San Diego County Air Pollution Control District). 1. The following departments conduct projects to the general public. e. Ensure the Air Pollution Control District (APCD) is notified a minimum of two weeks

Aluwihare, Lihini

333

San Juan Montana Thrust Belt WY Thrust Belt Black Warrior  

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

San San Juan Montana Thrust Belt WY Thrust Belt Black Warrior Paradox - San Juan NW (2) Uinta- Piceance Paradox - San Juan SE (2) Florida Peninsula Appalachian- NY (1) Appalachian OH-PA (2) Appalachian Eastern PA (3) Appalachian Southern OH (4) Appalachian Eastern WV (5) Appalachian WV-VA (6) Appalachian TN-KY (7) Piceance Greater Green River Eastern OR-WA Ventura Williston Williston NE (2) Williston NW (1) Williston South (3) Eastern Great Basin Ventura West, Central, East Eastern OR-WA Eastern Great Basin Appalachian Denver Florida Peninsula Black Warrior W Y T h ru st B e lt Powder River Paradox- Uinta- Grtr Green River MT Thrust Belt Powder River North (1) Powder River South (2) Denver North (1) Denver South (3) Denver Middle (2) TX CA MT AZ ID NV NM CO IL OR UT KS WY IA NE SD MN ND OK FL WI MO AL WA GA AR LA MI IN PA NY NC MS TN KY VA OH SC

334

Kinetic Monte Carlo simulations of nanocrystalline film deposition  

E-Print Network (OSTI)

A full diffusion kinetic Monte Carlo algorithm is used to model nanocrystalline film deposition, and study the mechanisms of grain nucleation and microstructure formation in such films. The major finding of this work is ...

Ruan, Shiyun

335

Independent Pixel and Monte Carlo Estimates of Stratocumulus Albedo  

Science Conference Proceedings (OSTI)

Monte Carlo radiative transfer methods are employed here to estimate the plane-parallel albedo bias for marine stratocumulus clouds. This is the bias in estimates of the mesoscale-average albedo, which arises from the assumption that cloud liquid ...

Robert F. Cahalan; William Ridgway; Warren J. Wiscombe; Steven Gollmer; Harshvardhan

1994-12-01T23:59:59.000Z

336

Parallel Fission Bank Algorithms in Monte Carlo Criticality Calculations  

E-Print Network (OSTI)

In this work we describe a new method for parallelizing the source iterations in a Monte Carlo criticality calculation. Instead of having one global fission bank that needs to be synchronized, as is traditionally done, our ...

Romano, Paul Kollath

337

Low Dose Radiation Research Program: Monte Carlo Track Structure...  

NLE Websites -- All DOE Office Websites (Extended Search)

Monte Carlo Track Structure Simulations for Low-LET Selected Cell Radiation Studies Walt Wilson Washington State University Tri-Cities Why This Project There are many types of...

338

Bayesian inverse problems with Monte Carlo forward models  

E-Print Network (OSTI)

The full application of Bayesian inference to inverse problems requires exploration of a posterior distribution that typically does not possess a standard form. In this context, Markov chain Monte Carlo (MCMC) methods are ...

Bal, Guillaume

339

Enhancements in Continuous-Energy Monte Carlo Capabilities in SCALE  

SciTech Connect

Monte Carlo tools in SCALE are commonly used in criticality safety calculations as well as sensitivity and uncertainty analysis, depletion, and criticality alarm system analyses. Recent improvements in the continuous-energy data generated by the AMPX code system and significant advancements in the continuous-energy treatment in the KENO Monte Carlo eigenvalue codes facilitate the use of SCALE Monte Carlo codes to model geometrically complex systems with enhanced solution fidelity. The addition of continuous-energy treatment to the SCALE Monaco code, which can be used with automatic variance reduction in the hybrid MAVRIC sequence, provides significant enhancements, especially for criticality alarm system modeling. This paper describes some of the advancements in continuous-energy Monte Carlo codes within the SCALE code system.

Bekar, Kursat B [ORNL; Celik, Cihangir [ORNL; Wiarda, Dorothea [ORNL; Peplow, Douglas E. [ORNL; Rearden, Bradley T [ORNL; Dunn, Michael E [ORNL

2013-01-01T23:59:59.000Z

340

MC21 analysis of the nuclear energy agency Monte Carlo performance benchmark problem  

SciTech Connect

Due to the steadily decreasing cost and wider availability of large scale computing platforms, there is growing interest in the prospects for the use of Monte Carlo for reactor design calculations that are currently performed using few-group diffusion theory or other low-order methods. To facilitate the monitoring of the progress being made toward the goal of practical full-core reactor design calculations using Monte Carlo, a performance benchmark has been developed and made available through the Nuclear Energy Agency. A first analysis of this benchmark using the MC21 Monte Carlo code was reported on in 2010, and several practical difficulties were highlighted. In this paper, a newer version of MC21 that addresses some of these difficulties has been applied to the benchmark. In particular, the confidence-interval-determination method has been improved to eliminate source correlation bias, and a fission-source-weighting method has been implemented to provide a more uniform distribution of statistical uncertainties. In addition, the Forward-Weighted, Consistent-Adjoint-Driven Importance Sampling methodology has been applied to the benchmark problem. Results of several analyses using these methods are presented, as well as results from a very large calculation with statistical uncertainties that approach what is needed for design applications. (authors)

Kelly, D. J.; Sutton, T. M. [Knolls Atomic Power Laboratory, Bechtel Marine Propulsion Corporation, P. O. Box 1072, Schenectady, NY 12301-1072 (United States); Wilson, S. C. [Bertis Atomic Power Laboratory, Bechtel Marine Propulsion Corporation, P. O. Box 79, West Mifflin, PA 15122-0079 (United States)

2012-07-01T23:59:59.000Z

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


341

Quiet direct simulation Monte-Carlo with random timesteps  

Science Conference Proceedings (OSTI)

Use of a high-order deterministic sampling technique in direct simulation Monte-Carlo (DSMC) simulations eliminates statistical noise and improves computational performance by orders of magnitude. In this paper it is also shown that if a random timestep ... Keywords: 02.50.Ey, 02.70.Tt, 47.11.+j, 52.65.-y, Direct simulation Monte-Carlo, Particle-in-cell methods, Stochastic processess

William Peter

2007-01-01T23:59:59.000Z

342

Categorical Exclusion Determinations: California | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

April 7, 2010 April 7, 2010 CX-001391: Categorical Exclusion Determination San Gabriel Energy Efficiency Project CX(s) Applied: A9, B5.1 Date: 04/07/2010 Location(s): San Gabriel, California Office(s): Energy Efficiency and Renewable Energy April 7, 2010 CX-001838: Categorical Exclusion Determination County Administrative Center Solar Facility CX(s) Applied: A9, A11, B5.1 Date: 04/07/2010 Location(s): Kern County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 7, 2010 CX-001606: Categorical Exclusion Determination County Administrative Center Solar Facility CX(s) Applied: A9, A11, B5.1 Date: 04/07/2010 Location(s): Kern County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 5, 2010 CX-006905: Categorical Exclusion Determination

343

A hybrid transport-diffusion method for Monte Carlo radiative-transfer simulations  

Science Conference Proceedings (OSTI)

Discrete Diffusion Monte Carlo (DDMC) is a technique for increasing the efficiency of Monte Carlo particle-transport simulations in diffusive media. If standard Monte Carlo is used in such media, particle histories will consist of many small steps, resulting ... Keywords: Hybrid transport-diffusion, Monte Carlo, Radiative transfer

Jeffery D. Densmore; Todd J. Urbatsch; Thomas M. Evans; Michael W. Buksas

2007-03-01T23:59:59.000Z

344

High-Performance Quasi-Monte Carlo Financial Simulation: FPGA vs. GPP vs. GPU  

Science Conference Proceedings (OSTI)

Quasi-Monte Carlo simulation is a special Monte Carlo simulation method that uses quasi-random or low-discrepancy numbers as random sample sets. In many applications, this method has proved advantageous compared to the traditional Monte Carlo simulation ... Keywords: CPU, FPGA, GPU, Maxwell, Quasi-Monte Carlo simulations, option pricing

Xiang Tian; Khaled Benkrid

2010-11-01T23:59:59.000Z

345

Calculation of shielding door thicknesses for radiation therapy facilities using the ITS Monte Carlo program  

SciTech Connect

Shielding calculations for door thicknesses for megavoltage radiotherapy facilities with mazes are generally straightforward. To simplify the calculations, the standard formalism adopts several approximations relating to the average beam path, scattering coefficients, and the mean energy of the spectrum of scattered radiation. To test the accuracy of these calculations, the Monte Carlo program, ITS, was applied to this problem by determining the dose and energy spectrum of the radiation at the door for 4- and 10-MV bremsstrahlung beams incident on a phantom at isocenter. This was performed for mazes, one termed 'standard' and the other a shorter maze where the primary beam is incident on the wall adjacent to the door. The peak of the photon-energy spectrum at the door was found to be the same for both types of maze, independent of primary beam energy, and also, in the case of the conventional maze, of the primary beam orientation. The spectrum was harder for the short maze and for 10 MV vs. 4 MV. The thickness of the lead door for a short maze configuration was 1.5 cm for 10 MV and 1.2 cm for 4 MV vs. approximately less than 1 mm for a conventional maze. For the conventional maze, the Monte Carlo calculation predicts the dose at the door to be lower than given by NCRP 49 and NCRP 51 by about a factor of 2 at 4 MV but to be the same at 10 MV. For the short maze, the Monte Carlo predicts the dose to be a factor of 3 lower for 4 MV and about a factor of 1.5 lower for 10 MV. Experimental results support the Monte Carlo findings for the short maze.

Biggs, P.J. (Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston (United States))

1991-10-01T23:59:59.000Z

346

T-588: HP Virtual SAN Appliance Stack Overflow | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

T-588: HP Virtual SAN Appliance Stack Overflow T-588: HP Virtual SAN Appliance Stack Overflow T-588: HP Virtual SAN Appliance Stack Overflow March 25, 2011 - 5:05pm Addthis PROBLEM: HP Virtual SAN Appliance Stack Overflow in 'hydra.exe' Lets Remote Users Execute Arbitrary Code. PLATFORM: HP StorageWorks P4000 Virtual SAN Appliance Software ABSTRACT: A vulnerability has been reported in HP StorageWorks P4000 Virtual SAN Appliance Software, which can be exploited by malicious people to compromise a vulnerable system. reference LINKS: Secunia advisory 34782 SecurityTracker Alert ID: 1025249 ZDI-11-111 Bugtraq ID: 47005 IMPACT ASSESSMENT: High Discussion: Hewlett-Packard Virtual SAN Appliance is prone to a remote buffer-overflow vulnerability. Attackers may exploit this issue to execute arbitrary code within the context of the affected application. Failed exploit attempts may result in

347

Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Heavy-Duty Diesel Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley to someone by E-mail Share Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley on Facebook Tweet about Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley on Twitter Bookmark Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley on Google Bookmark Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley on Delicious Rank Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley on Digg Find More places to share Alternative Fuels Data Center: Heavy-Duty Diesel Vehicle Vouchers - San Joaquin Valley on AddThis.com... More in this section... Federal

348

San Luis Unit technical record of design and construction. Volume 5. Construction Dos Amigos Pumping Plant, Pleasant Valley Pumping Plant. Central Valley Project, West San Joaquin Division, San Luis Unit, California. A water resources technical publication. Final report  

SciTech Connect

The technical record of design and construction of the San Luis unit is divided into seven volumes. This volume, number V, deals with the construction of two specific features of the San Luis unit, Dos Amigos Pumping Plant and Pleasant Valley Pumping Plant.

1974-09-01T23:59:59.000Z

349

CX-000632: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

632: Categorical Exclusion Determination 632: Categorical Exclusion Determination CX-000632: Categorical Exclusion Determination San Jose Solar - Enabling Community Participation in Achieving the City's Green Vision Goals CX(s) Applied: A9 Date: 01/21/2010 Location(s): San Jose, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The City of San Jose would use Department of Energy American Recovery and Reinvestment Act funding to implement strategies to foster community involvement in activities that will spur solar market penetration. Key objectives of the Project are to: provide coordinated education and outreach activities on energy financing strategies to property owners; increase awareness of the viability and range of solar technologies and opportunities by ensuring the community has a mixture of hands-on and other

350

Categorical Exclusion Determinations: B5.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5, 2010 5, 2010 CX-006103: Categorical Exclusion Determination California-City-San Clemente CX(s) Applied: A1, A9, A11, B1.32, B5.1 Date: 03/05/2010 Location(s): San Clemente, California Office(s): Energy Efficiency and Renewable Energy March 5, 2010 CX-001136: Categorical Exclusion Determination 130 Lumens Per Watt 1000 Lumen Warm White LEDs (Light-Emitting Diodes) for Illumination CX(s) Applied: B3.6, B5.1 Date: 03/05/2010 Location(s): San Jose, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory March 5, 2010 CX-001099: Categorical Exclusion Determination Northwest Food Processors Association Energy Intensity Improvement Initiative: Three Short-Term Projects CX(s) Applied: A9, B5.1 Date: 03/05/2010 Location(s): Oregon Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

351

CX-000627: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

627: Categorical Exclusion Determination 627: Categorical Exclusion Determination CX-000627: Categorical Exclusion Determination San Francisco Solar Financing Project CX(s) Applied: A9, A11 Date: 01/20/2010 Location(s): San Francisco, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The San Francisco Department of the Environment will use Department of Energy and cost share funding to develop and further augment solar programs for the City. Project activities will include developing a sustainable financing program; developing and implementing a commercial solar power purchase agreement (PPA) model; developing and implementing a solar PPA model to put solar on schools; and supporting the development of a solar financing program for affordable housing. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

352

CX-001625: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Categorical Exclusion Determination 5: Categorical Exclusion Determination CX-001625: Categorical Exclusion Determination City of San Antonio American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant - Activity #7 (S) CX(s) Applied: A9, A11, B5.1 Date: 04/07/2010 Location(s): San Antonio, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Energy Efficiency and Conservation Block Grant fund. The City of San Antonio, TX would use DOE funds for the following activities which are bounded by the signed Statement of Work and are therefore categorically excluded under National Environmental Policy Act: Activity 7: Solar Installation for Airport, this solar project will be roof-mounted on the airport existing Long-Term Parking Garage. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

353

CX-006102: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Categorical Exclusion Determination 2: Categorical Exclusion Determination CX-006102: Categorical Exclusion Determination California-City-San Bernardino CX(s) Applied: A1, A9, A11, B2.5, B3.6, B5.1 Date: 03/26/2010 Location(s): San Bernardino, California Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. 1) Develop an energy efficiency and conservation strategy (completed) 2) retrofit lighting systems in City Hall (1971) with more energy efficient components, 3) retrofit lighting systems in the City of San Bernardino Library Building (1985), 4) retrofit lighting systems in the Police Department Building (1995), 5) retrofit lighting systems for the City Hall parking structure (1971), 6) purchase and implement use of agenda management software, 7)

354

CX-001523: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

523: Categorical Exclusion Determination 523: Categorical Exclusion Determination CX-001523: Categorical Exclusion Determination County of San Bernardino, California Energy Efficiency and Conservation Block Grants Projects (S) CX(s) Applied: A9, A11, B5.1 Date: 03/31/2010 Location(s): San Bernardino County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The County of San Bernardino, California would use the Department of Energy funds for the following activities which are bounded by the signed Statement of Work and are therefore categorically excluded under National Environmental Policy Act (NEPA): Activity 2. Solar Electric System for Rancho Cucamonga County Office Building, Activity 3. County Heating, Ventilation, and Air-Condition (HVAC) Retrofit Program, Activity 4. Solar

355

CX-006268: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

68: Categorical Exclusion Determination 68: Categorical Exclusion Determination CX-006268: Categorical Exclusion Determination Job Creation and Petroleum Independence with 85% Ethanol (E85) Fuel in Texas CX(s) Applied: B5.1 Date: 07/27/2011 Location(s): San Antonio, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Protec Fuel Management proposes to install a 6,000 gallon, ethanol compatible, underground tank to store and distribute ethanol fuels. This tank, dispenser and associated piping will be converted to handle 85% ethanol fuels at an existing MidTex Oil Station in San Antonio, Texas located at 2315 Southwest 36th Street, San Antonio, Texas 78237. This station and associated area is zone for the retail selling of fuel products. Post installation of the tank, pipes, and dispensers , all

356

A User's Manual for MASH V1.5 - A Monte Carlo Adjoint Shielding Code System  

Science Conference Proceedings (OSTI)

The Monte Carlo ~djoint ~ielding Code System, MASH, calculates neutron and gamma- ray environments and radiation protection factors for armored military vehicles, structures, trenches, and other shielding configurations by coupling a forward discrete ordinates air- over-ground transport calculation with an adjoint Monte Carlo treatment of the shielding geometry. Efficiency and optimum use of computer time are emphasized. The code system includes the GRTUNCL and DORT codes for air-over-ground transport calculations, the MORSE code with the GIFT5 combinatorial geometry package for adjoint shielding calculations, and several peripheral codes that perform the required data preparations, transformations, and coupling functions. The current version, MASH v 1.5, is the successor to the original MASH v 1.0 code system initially developed at Oak Ridge National Laboratory (ORNL). The discrete ordinates calculation determines the fluence on a coupling surface surrounding the shielding geometry due to an external neutron/gamma-ray source. The Monte Carlo calculation determines the effectiveness of the fluence at that surface in causing a response in a detector within the shielding geometry, i.e., the "dose importance" of the coupling surface fluence. A coupling code folds the fluence together with the dose importance, giving the desired dose response. The coupling code can determine the dose response as a function of the shielding geometry orientation relative to the source, distance from the source, and energy response of the detector. This user's manual includes a short description of each code, the input required to execute the code along with some helpful input data notes, and a representative sample problem.

C. O. Slater; J. M. Barnes; J. O. Johnson; J.D. Drischler

1998-10-01T23:59:59.000Z

357

Quest for precision in hadronic cross sections at low energy: Monte Carlo tools vs. experimental data  

E-Print Network (OSTI)

We present the achievements of the last years of the experimental and theoretical groups working on hadronic cross section measurements at the low energy e+e- colliders in Beijing, Frascati, Ithaca, Novosibirsk, Stanford and Tsukuba and on tau decays. We sketch the prospects in these fields for the years to come. We emphasise the status and the precision of the Monte Carlo generators used to analyse the hadronic cross section measurements obtained as well with energy scans as with radiative return, to determine luminosities and tau decays. The radiative corrections fully or approximately implemented in the various codes and the contribution of the vacuum polarisation are discussed.

Actis, S; Arbuzov, A; Balossini, G; Beltrame, P; Bignamini, C; Bonciani, R; Carloni Calame, C M; Cherepanov, V; Czakon, M; Czyz, H; Denig, A; Eidelman, S; Fedotovich, G V; Ferroglia, A; Gluza, J; Grzeli nska, A; Gunia, M; Hafner, A; Ignatov, F; Jadach, S; Jegerlehner, F; Kalinowski, A; Kluge, W; Korchin, A; Kuhn, J H; Kuraev, E A; Lukin, P; Mastrolia, P; Montagna, G; Muller, S E; Nguyen, F; Nicrosini, O; Nomura, D; Pakhlova, G; Pancheri, G; Passera, M; Penin, A; Piccinini, F; Placzek, W; Przedzinski, T; Remiddi, E; Riemann, T; Rodrigo, G; Roig, P; Shekhovtsova, O; Shen, C P; Sibidanov, A L; Teubner, T; Trentadue, L; Venanzoni, G; van der Bij, J J; Wang, P; Ward, B F L; Was, Z; Worek, M; Yuan, C Z

2010-01-01T23:59:59.000Z

358

Categorical Exclusion Determinations: California | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

March 8, 2010 March 8, 2010 CX-001145: Categorical Exclusion Determination Ford Thermoelectric Heating, Ventilation, and Air Conditioning Project CX(s) Applied: B3.6 Date: 03/08/2010 Location(s): Asuza, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory March 5, 2010 CX-006103: Categorical Exclusion Determination California-City-San Clemente CX(s) Applied: A1, A9, A11, B1.32, B5.1 Date: 03/05/2010 Location(s): San Clemente, California Office(s): Energy Efficiency and Renewable Energy March 5, 2010 CX-001054: Categorical Exclusion Determination Aquantis 2.5 Megawatt Ocean Current Generation Device CX(s) Applied: A9, B3.6 Date: 03/05/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

359

Categorical Exclusion Determinations: American Recovery and Reinvestment  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7, 2010 7, 2010 CX-002551: Categorical Exclusion Determination Replace Defense Waste Processing Facility Argon Tank CX(s) Applied: B1.3 Date: 04/07/2010 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office April 7, 2010 CX-001492: Categorical Exclusion Determination City of Saint Louis Missouri Statement of Work and All Activities Excluding Bike Station Project CX(s) Applied: A9, A11, B5.1 Date: 04/07/2010 Location(s): St. Louis, Missouri Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 7, 2010 CX-001391: Categorical Exclusion Determination San Gabriel Energy Efficiency Project CX(s) Applied: A9, B5.1 Date: 04/07/2010 Location(s): San Gabriel, California Office(s): Energy Efficiency and Renewable Energy

360

San Isabel Electric Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

Isabel Electric Assn, Inc Isabel Electric Assn, Inc Jump to: navigation, search Logo: San Isabel Electric Assn, Inc Name San Isabel Electric Assn, Inc Address 893 E. Enterprise Drive Place Pueblo West, Colorado Zip 81007 Phone number 719-547-2160 Website www.siea.com/default.aspx Coordinates 38.325609°, -104.7051427° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.325609,"lon":-104.7051427,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

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


361

San Juan Mesa Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Farm Farm Jump to: navigation, search Name San Juan Mesa Wind Farm Facility San Juan Mesa Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Edison Mission Group owns majority Developer Edison Mission Group Energy Purchaser Xcel Energy Location Elida County NM Coordinates 33.9697°, -103.844° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9697,"lon":-103.844,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

362

San Andreas Split Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » San Andreas Split Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home San Andreas Split Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Assessment of Moderate- and High-Temperature Geothermal Resources of the United States[1] References ↑ "Assessment of Moderate- and High-Temperature Geothermal Resources of the United States" Geothermal Region Data State(s) California Area 18,246 km²18,246,000,000 m² 7,042.956 mi² 196,398,119,400 ft² 21,822,216,000 yd² 4,508,677.83 acres USGS Resource Estimate for this Region

363

San Gorgonio Farms Wind Farm III | Open Energy Information  

Open Energy Info (EERE)

III III Facility San Gorgonio Farms Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Energy Purchaser Southern California Edison Co Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

364

San Diego Gas & Electric Co | Open Energy Information  

Open Energy Info (EERE)

& Electric Co & Electric Co (Redirected from SDG&E) Jump to: navigation, search Name San Diego Gas & Electric Co Place San Diego, California Service Territory California Website www.sdge.com Green Button Landing Page www.sdge.com/customer-ser Green Button Reference Page www.sdge.com/green-button Green Button Implemented Yes Utility Id 16609 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO CA Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections

365

City of San Saba, Texas (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Saba, Texas (Utility Company) Saba, Texas (Utility Company) Jump to: navigation, search Name City of San Saba Place Texas Utility Id 28981 Utility Location Yes Ownership M NERC Location TRE NERC ERCOT Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large General Commercial Medium General Commercial Residential Residential Small General Commercial Average Rates Residential: $0.0465/kWh Commercial: $0.0283/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_San_Saba,_Texas_(Utility_Company)&oldid=410205

366

FUPWG Meeting Agenda - San Francisco, CA | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Francisco, CA Francisco, CA FUPWG Meeting Agenda - San Francisco, CA October 7, 2013 - 3:15pm Addthis Energy Efficiency - The San Francisco Treat / FUPWG November 1-2, 2006 November 1-2, 2006 Hosted by Pacific Gas and Electric Company Tuesday, October 31, 2006 5:00 - 6:30 Steering Committee meeting at Puccini and Pinetti Restaurant 6:30 until... Networking dinner at Puccini and Pinetti Restaurant Hosted by: Pacific Gas and Electric logo FEMP logo Wednesday, November 1, 2006 7:45 - 8:30 Registration/Continental Breakfast 8:30 - 8:45 PG&E Welcome Beverly Alexander, Vice President, Customer Care, PG&E 8:45 - 9:00 FEMP Welcome David McAndrew, FEMP 9:00 - 10:00 Agency Update: U.S. Postal Service Energy Program Ray Levinson, USPS 10:00 - 10:30 Break - Networking 10:30 - 11:10 Washington Update

367

San Rafael, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

(Redirected from San Rafael, CA) (Redirected from San Rafael, CA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.9735346°, -122.5310874° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9735346,"lon":-122.5310874,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

368

San Miguel Power Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

San Miguel Power Assn, Inc San Miguel Power Assn, Inc Place Colorado Utility Id 16622 Utility Location Yes Ownership C NERC Location WECC NERC WECC Yes ISO Other Yes Activity Transmission Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Demand Commercial General Service Non-Demand Residential Outdoor Lighting Level I: 100 watt MV or HPS Lighting Outdoor Lighting Level I: 150 watt MV or HPS Lighting Outdoor Lighting Level I: 200 watt Incandescent Lighting Outdoor Lighting Level I: 250 watt MV or HPS Lighting

369

City of San Antonio, Texas (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » City of San Antonio, Texas (Utility Company) (Redirected from CPS Energy) Jump to: navigation, search Name San Antonio City of Place Texas Utility Id 16604 Utility Location Yes Ownership M NERC Location TRE NERC ERCOT Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections

370

Italy (including San Marino) Fossil-Fuel CO2 Emissions  

NLE Websites -- All DOE Office Websites (Extended Search)

Western Europe » Italy Western Europe » Italy (including San Marino) Italy (including San Marino) Fossil-Fuel CO2 Emissions Graph graphic Graphics Data graphic Data Trends As occurred in many industrialized nations, CO2 emissions from Italy rose steeply since the late 1940's until the growth was abruptly terminated in 1974. Since 1974, emissions from liquid fuels have vacillated, dropping from 76% to 46% of a static but varying total. Significant increases in natural gas consumption have compensated for the drop in oil consumption. In 2008, 35.8% of Italy's fossil-fuel CO2 emissions were due to natural gas consumption. Coal usage grew steadily until 1985 when CO2 emissions from coal consumption reached 16 million metric tons of carbon. Not until 2004 did coal usage exceed 1985 levels and now accounts for 13.9% of Italy's

371

California - San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved  

Gasoline and Diesel Fuel Update (EIA)

Gas Plant Liquids, Proved Reserves (Million Barrels) Gas Plant Liquids, Proved Reserves (Million Barrels) California - San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 77 1980's 81 57 124 117 105 120 109 107 101 95 1990's 86 75 83 85 75 80 80 82 58 60 2000's 64 52 68 78 95 112 100 103 97 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Natural Gas Liquids Proved Reserves as of Dec. 31 CA, San Joaquin Basin Onshore Natural Gas Liquids Proved Reserves Natural Gas Liquids Proved Reserves as of Dec.

372

San Gorgonio Farms Wind Farm II | Open Energy Information  

Open Energy Info (EERE)

II II Facility San Gorgonio Farms Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Energy Purchaser Southern California Edison Co Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

373

City of San Francisco - Residential Efficiency Rebates | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Francisco - Residential Efficiency Rebates Francisco - Residential Efficiency Rebates City of San Francisco - Residential Efficiency Rebates < Back Eligibility Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Other Sealing Your Home Ventilation Maximum Rebate $5,000 Program Info Funding Source PG&E, ARRA State California Program Type Local Rebate Program Rebate Amount Home Energy Upgrade: 15% energy reduction: $1,500 20% energy reduction: $2,000 25% energy reduction: $2,500 30% energy reduction: $3,000 35% energy reduction: $3,500 40% energy reduction: $4,000 Lower Income Households: Bonus $1,000 Single family homeowners in San Francisco's PG&E territory can receive

374

San Diego Gas & Electric Co | Open Energy Information  

Open Energy Info (EERE)

Electric Co Electric Co Jump to: navigation, search Name San Diego Gas & Electric Co Place San Diego, California Service Territory California Website www.sdge.com Green Button Landing Page www.sdge.com/customer-ser Green Button Reference Page www.sdge.com/green-button Green Button Implemented Yes Utility Id 16609 Utility Location Yes Ownership I NERC Location WECC NERC WECC Yes ISO CA Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] SGIC[3] LinkedIn Connections CrunchBase Profile

375

San Francisco, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

San Francisco, CA) San Francisco, CA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.7749295°, -122.4194155° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7749295,"lon":-122.4194155,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

376

The ecology of the Sacramento-San Joaquin Delta  

SciTech Connect

This report describes an ecosystem significantly different from other delta ecosystems in North America. The Sacramento-San Joaquin Delta is one of the 60 largest river deltas in the world and is the largest river delta on the west coast. As the hub of California's water system, the delta is of immense municipal, agricultural, and industrial importance. The amount of freshwater that flows through the delta controls the delta's productivity and regulates the life cycles of many of its organisms. The vast estuary of the Sacramento and San Joaquin Rivers is one of the most highly modified and intensively managed estuaries in the world. Biological processes in the delta are obscured by the temporal dynamics of the system. Many of the most significant alterations, such as leveeing, diking, and agricultural practices, are not now recognized as such by most citizens, making conservation and protection of the delta difficult. 308 refs., 43 figs., 11 tabs.

Herbold, B.; Moyle, P.B. (California Univ., Davis, CA (USA). Dept. of Wildlife and Fisheries Biology)

1989-09-01T23:59:59.000Z

377

Rate Analysis of Two Photovoltaic Systems in San Diego  

DOE Green Energy (OSTI)

Analysts have found increasing evidence that rate structure has impacts on the economics of solar systems. This paper uses 2007 15-minute interval photovoltaic (PV) system and load data from two San Diego City water treatment facilities to illustrate impacts of different rate designs. The comparison is based on rates available in San Diego at the time of data collection and include proportionately small to large demand charges (relative to volumetric consumption), and varying on- and off- peak times. Findings are twofold for these large commercial systems: 1) transferring costs into demand charges does not result in savings and 2) changes in peak times do not result in a major cost difference during the course of a year. While lessons learned and discussion on rate components are based on the findings, the applicability is limited to buildings with similar systems, environments, rate options, and loads.

Doris, E.; Ong, S.; Van Geet, O.

2009-07-01T23:59:59.000Z

378

Designing an Environmental Showcase: The San Francisco Presidio  

NLE Websites -- All DOE Office Websites (Extended Search)

Designing an Environmental Showcase: The San Francisco Presidio Designing an Environmental Showcase: The San Francisco Presidio Title Designing an Environmental Showcase: The San Francisco Presidio Publication Type Conference Proceedings Year of Publication 1996 Authors Sartor, Dale A., Richard C. Diamond, Andy Walker, Michael Giller, Karl A. Brown, and Anne S. Crawley Conference Name Proceedings of the 1996 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA Volume 5 Pagination 209-218 Publisher American Council for an Energy Efficient Economy, Washington, DC Abstract The San Francisco Presidio is one of the most exciting environmental showcase projects in the U.S. today. However, shrinking government funding support and conflicting priorities across the various players makes it one of the most challenging as well. The Presidio is literally a city within a city, with buildings built before the Civil War located adjacent to modern laboratory facilities. Despite these challenges, the U.S. Department of Energy and the National Park Service are currently converting this former army base into a showcase of sustainable design. Our work to date has focused on both the technical and the financial aspects. On the technical side we have conducted energy audits, reviewed retrofit design strategies and renovation plans and recommended numerous strategies for energy-efficiency improvements, keeping within the constraints of historic preservation and often modest budgets. On the financial side we have successfully negotiated a ten-year pay-for-measured-performance contract with the local utility's DSM program. Towards this goal we have been working to set up an energy savings performance contract that will create partnerships with the private sector in project implementation. The importance of the Presidio project is that it not only will be a large scale model for other public and private sector activities, but it will also have high-visibility, with over eight million visitors per year.

379

Decommissioning San Onofre Nuclear Generating Station Unit 1 (SONGS-1)  

Science Conference Proceedings (OSTI)

Decommissioning a nuclear power plant and termination of the plant license requires the removal of highly activated materials from inside the nuclear reactor pressure vessel (RPV). Such a task presents a major challenge in terms of technology, project management, and worker exposure. This report documents the approach taken by Southern California Edison (SCE) in their highly successful reactor vessel internals (RVI) segmentation of San Onofre Nuclear Generating Station Unit 1 (SONGS-1). The report detail...

2005-12-12T23:59:59.000Z

380

San Joaquin Valley Clean Energy Organization | Open Energy Information  

Open Energy Info (EERE)

Joaquin Valley Clean Energy Organization Joaquin Valley Clean Energy Organization Jump to: navigation, search Logo: San Joaquin Valley Clean Energy Organization Name San Joaquin Valley Clean Energy Organization Place California Region Bay Area Website http://www.sjvcleanenergy.org/ Notes Builds upon existing efforts and serves as a trusted resource on clean energy for San Joaquin Valley businesses, consumers, nonprofits and local governments Coordinates 36.778261°, -119.4179324° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.778261,"lon":-119.4179324,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

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


381

San Emidio Desert Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

San Emidio Desert Geothermal Area San Emidio Desert Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: San Emidio Desert Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (4) 9 Exploration Activities (9) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.38,"lon":-119.4,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

DOE Science Showcase - Monte Carlo Methods | OSTI, US Dept of Energy,  

Office of Scientific and Technical Information (OSTI)

Monte Carlo Methods Monte Carlo Methods Monte Carlo calculation methods are algorithms for solving various kinds of computational problems by using (pseudo)random numbers. Developed in the 1940s during the Manhattan Project, the Monte Carlo method signified a radical change in how scientists solved problems. Learn about the ways these methods are used in DOE's research endeavors today in "Monte Carlo Methods" by Dr. William Watson, Physicist, OSTI staff. Effects of static particle dispersions on grain growth are studied using SPPARKS simulations Image credit: Sandia National Laboratory Monte Carlo Results in DOE Databases Lab biophysicist invents improvement to Monte Carlo technique, LLNL News Monte Carlo Benchmark software, ESTSC Improved Monte Carlo Renormalization Group Method, DOE R&D

383

Recipient. Uty of San Jose ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

81 81 Recipient. Uty of San Jose ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM Activities Determination/ Categorical Exclusion Reviewer's Specific Instructions and Rationale (Restrictions and Allowable Activity) LED Streetlights A9, All, B5.1 Waste Stream clause Municipal Energy Efficiency Retrofits A9, All, B5.1 Waste Stream clause Historic Preservation clause Engineering clause Municipal Solar Program A9, All Administration, outreach, technical advice, and outreach should be CX'd; implementation of projects under this activity should be conditioned pending further NEPA review. Additional Comments: Based on my review of information conveyed to me and in my possession (or attached) concerning the proposed action, as NEPA Compliance Officer (as authorized under DOE Order 451.1B), I have

384

Categorical Exclusion Determination Form  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ergy ergy Categorical Exclusion Determination Form Proposed Action Title: (0472-1569) G~tomics - Double Sator Switched Reluctance Motor (DSSRM) Technology Progi'am or Field Office: Advanced Research Projects Agency - Energy Location(s) (City/County/State): San Diego, CA Proposed Action Description: General Atomics, in conjunction with the University of Texas-Dallas (UT Dallas), proposes to develop double-stator switched reluctance motor (DSSRM) for electric vehicles (EVs) that will eliminate the use of permanent magnet-based motors that rely on rare earth metals in EVs. General Atomics' application was selected for an initial 18-month period (Phase 1) of funding. The ARPA-E Program Director may decide to negotiate and fund project activities for an additional 18-month period (Phase II) after evaluating the work performed in Phase I. ARPA-E has not obligated

385

An Overview of Geometry Representation in Monte Carlo Codes  

National Nuclear Security Administration (NNSA)

Geometry Representation Geometry Representation in Monte Carlo Codes R.P. Kensek, * B.C. Franke, * T.W. Laub * , L.J. Lorence, * M. R. Martin, * S. Warren † * Sandia National Laboratories, P.O. Box 5800, MS 1179, Albuquerque, NM 87185 † Kansas State University, Manhattan, KS 66506 Geometry representations in production Monte Carlo radiation transport codes used for linear-transport simulations are traditionally limited to combinatorial geometry (CG) topologies. While CG representations of input geometries are efficient to query, they are difficult to construct. In the Integrated-TIGER-Series (ITS) Monte Carlo code suite, a new approach for radiation transport geometry engines has been implemented that allows for Computer Aided Design (CAD), facetted approximations, and other geometry types to simultaneously define an input geometry.

386

The Monte Carlo Independent Column Approximation Model Intercomparison  

NLE Websites -- All DOE Office Websites (Extended Search)

The Monte Carlo Independent Column Approximation Model Intercomparison The Monte Carlo Independent Column Approximation Model Intercomparison Project (McMIP) Barker, Howard Meteorological Service of Canada Cole, Jason Meteorological Service of Canada Raisanen, Petri Finnish Meteorological Institute Pincus, Robert NOAA-CIRES Climate Diagnostics Center Morcrette, Jean-Jacques European Centre for Medium-Range Weather Forecasts Li, Jiangnan Canadian Center for Climate Modelling Stephens, Graeme Colorado State University Vaillancourt, Paul Environment Canada Oreopoulos, Lazaros JCET/UMBC and NASA/GSFC Siebesma, Pier KNMI Los, Alexander KNMI Clothiaux, Eugene The Pennsylvania State University Randall, David Colorado State University Iacono, Michael Atmospheric & Environmental Research, Inc. Category: Radiation The Monte Carlo Independent Column Approximation (McICA) method for

387

Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at Energy Efficiency and Public Health Bike Sharing in Texas: San Antonio Rolls Out Program Aimed at Energy Efficiency and Public Health August 8, 2011 - 3:23pm Addthis B-Cycle users can access bikes on demand with an annual, weekly, or daily pass. | Courtesy of Julia Diana, City of San Antonio B-Cycle users can access bikes on demand with an annual, weekly, or daily pass. | Courtesy of Julia Diana, City of San Antonio Todd G. Allen Project Officer, Golden Field Office As the first bike sharing system in Texas, San Antonio's B-Cycle addresses two top concerns in the city: providing opportunities to improve personal health and giving active transportation choices to residents and visitors. Riders are empowered to see how they are making a difference in

388

Archive Reference Buildings by Climate Zone: 3C San Francisco, California |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

C San Francisco, C San Francisco, California Archive Reference Buildings by Climate Zone: 3C San Francisco, California Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-3c_ca_san_francisco.zip benchmark-v1.1_3.1-3c_usa_ca_san_francisco.zip benchmark-new-v1.2_4.0-3c_usa_ca_san_francisco.zip

389

Solar Fair in San José Tomorrow | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Fair in San José Tomorrow Fair in San José Tomorrow Solar Fair in San José Tomorrow April 29, 2011 - 12:53pm Addthis Solar panels on display at the the San Jose Solar and Energy Efficiency Fair | Photo credit: Stacy H. Geiken Photography Solar panels on display at the the San Jose Solar and Energy Efficiency Fair | Photo credit: Stacy H. Geiken Photography Susan Carollo Senior Communications Specialist, Solar Program If you live near San José, you can check out the latest in clean energy technologies and learn how to save on your utilities bills or solar installation at the city's "Solar and Energy Efficiency Fair" tomorrow. The showcase will features self-guided tours and energy workshops. It also boasts the first outdoor demonstration site of large scale, cutting-edge

390

City of San Jose - Solar Access Design Guidelines | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

City of San Jose - Solar Access Design Guidelines City of San Jose - Solar Access Design Guidelines City of San Jose - Solar Access Design Guidelines < Back Eligibility Construction Residential Savings Category Heating & Cooling Commercial Heating & Cooling Solar Heating Buying & Making Electricity Water Heating Program Info State California Program Type Solar/Wind Access Policy Provider City of San Jose The San Jose Environmental Services Department has developed voluntary guidelines to encourage solar orientation in new construction. These Solar Access Design Guidelines specify that the long axis of new dwellings should face within 30 degrees west and 45 degrees east of true south. Because houses in a subdivision usually face the street, planners in San Jose found that the easiest way to achieve solar orientation was to orient the streets

391

Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson &  

Open Energy Info (EERE)

Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson & Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson & Reiter, 1987) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson & Reiter, 1987) Exploration Activity Details Location San Juan Volcanic Field Area Exploration Technique Modeling-Computer Simulations Activity Date Usefulness useful DOE-funding Unknown Notes In this study we combine thermal maturation models, based on the level of maturation of the Fruitland Formation coals, and time-dependet temperature models, based on heat-flow data in the San Juan region, to further investigate both the thermal history of the region and the nature of the influence of the San Juan volcanic field thermal source on the thermal

392

Isotopic Analysis At San Juan Volcanic Field Area (Larson & Jr, 1986) |  

Open Energy Info (EERE)

Isotopic Analysis At San Juan Volcanic Field Area (Larson & Jr, 1986) Isotopic Analysis At San Juan Volcanic Field Area (Larson & Jr, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Isotopic Analysis- Rock At San Juan Volcanic Field Area (Larson & Jr, 1986) Exploration Activity Details Location San Juan Volcanic Field Area Exploration Technique Isotopic Analysis- Rock Activity Date Usefulness not indicated DOE-funding Unknown Notes Oxygen isotopes. References Peter B. Larson, Hugh P. Taylor Jr (1986) An Oxygen Isotope Study Of Hydrothermal Alteration In The Lake City Caldera, San Juan Mountains, Colorado Retrieved from "http://en.openei.org/w/index.php?title=Isotopic_Analysis_At_San_Juan_Volcanic_Field_Area_(Larson_%26_Jr,_1986)&oldid=687474" Categories: Exploration Activities

393

Geothermal Developments at San Diego Gas & Electric  

SciTech Connect

In 1972, the first well flow tests were conducted by NARCO and Magma Power to determine reservoir characteristics such as mass flow, temperature, stability, and mineral content of geothermal brine from the exploration wells. The results of these tests were encouraging. Brine temperatures were relatively hot, and salinity was less than previously experienced. Results were sufficient to justify further testing of the process design to determine an appropriate energy conversion cycle for a power plant. Both the flash cycle and binary cycle were considered. In the binary cycle, geothermal heat is transferred from hot brine to a secondary working fluid by means of heat exchangers. The heated secondary fluid expands to drive a turbine-generator. The flash cycle was rejected because the high measured noncondensible gas content of the brines seriously reduced the cycle efficiency. The reduced salinity was expected to result in reduced scaling characteristics. For these reasons the binary cycle was selected for initial design and field testing. In 1973, a series of field tests was conducted to support the design of the binary conversion cycle. Unfortunately, a rapid decline in heat exchanger performance resulting from scaling demonstrated a need to reevaluate the cycle design. A flash/binary process was chosen as the basis for facility design modifications and additional field testing. Design modifications were to use as much of the original design as possible in order to minimize cost. In March of 1974, SDG&E resumed field testing at Niland using reduced size models of the new flash/binary design. The 1974 test program confirmed the decision to modify the design, construction, and operation of the GLEF in a four-stage, flash/binary cycle configuration. In May of 1975, the design was completed and construction of the GLEF began. Startup operations were initiated and in June 1976 the facility was dedicated. In the fall of 1976 while debugging and initial operation was being accomplished, a test program was developed to provide additional basic information necessary for the design of a commercial flash/binary geothermal plant. The primary objective of the program was to develop binary heat exchanger heat design data under a variety of conditions.

Anastas, George; Hoaglin, Gregory J.

1980-12-01T23:59:59.000Z

394

California Clean Air Act: A compliance strategy for the City of San Diego`s non-emergency fleet  

SciTech Connect

Historically, parts of California have had the worst air quality in the nation. The California Energy Commission began experimenting with alternate fuels in the 1970`s in an effort to reduce harmful automobile emissions and hence, improve air quality. It is recognized that the costs to California which result from our air quality problems are immense. Ten to twenty billion dollars each year is the estimated damage in terms of health impacts, materials damages, lost agricultural crop output and forest damages. As the California population increases and health care costs escalate, the total monetary damages from air pollution will increase. The California Energy Commission goal to improve air quality became a mandate in 1988 with the passage of the California Clean Air Act (CCAA). The CCAA requires a revised air quality strategy for the San Diego district since we do not meet State air quality standards for smog, carbon monoxide and nitrogen dioxide. Smog remains San Diego`s major air quality problem, even though the annual number of days each year over the Federal standard has been reduced by 55 percent in the past ten years. Ten years ago about two-thirds of San Diego`s smog was transported from Los Angeles. Today more than 60 per cent of the days San Diego exceeds the State standard are from locally generated smog. It is estimated that 57% of the reactive hydrocarbon emissions (which react with nitrogen dioxide in the presence of sunlight to form smog) is from cars, trucks and buses. The Air Pollution Control District (part of the County of San Diego) is the office that the Air Resources Board has put in charge of creating regulations and designing strategy to reduce polluting emissions. The purpose of this project is to determine the full cost of acquiring and operating a municipal fleet which meets the mandates of the California Clean Air Act. With that information, a plan to meet the Clear Air Act (CCAA) requirements can be formulated by local government.

1992-12-31T23:59:59.000Z

395

City of San Jose - Solar Hot Water Heaters and Photovoltaic Systems...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hot Water Heaters and Photovoltaic Systems Permit Requirements City of San Jose - Solar Hot Water Heaters and Photovoltaic Systems Permit Requirements Eligibility Commercial...

396

Salinity trends, variability, and control in the northern reach of the San Francisco Estuary  

E-Print Network (OSTI)

I. 1990. STL: a seasonal-trend decomposition procedure basedinfluence on salinity trends. Presentation at 2004 CALFEDFox JP, Miller BJ. 1990. Trends in freshwater inflow to San

Enright, Christopher; Culberson, Steven D

2010-01-01T23:59:59.000Z

397

Open Water Processes of the San Francisco Estuary: From Physical Forcing to Biological Responses  

E-Print Network (OSTI)

and survival of Pacific herring (Clupea harengus pallasi)development of Pacific herring (Clupea harengus). Journal ofrecruitment of Pacific herring in the San Francisco Estuary.

Kimmerer, Wim

2004-01-01T23:59:59.000Z

398

Ground Gravity Survey At San Emidio Desert Area (DOE GTP) | Open...  

Open Energy Info (EERE)

Activity Details Location San Emidio Desert Area Exploration Technique Ground Gravity Survey Activity Date Usefulness not indicated DOE-funding Unknown Notes (prior to...

399

Calif--San Joaquin Basin Onshore Natural Gas Liquids Lease Condensate...  

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

Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels) Calif--San Joaquin Basin Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million...

400

Subsidence, sea level rise, and seismicity in the Sacramento-San Joaquin Delta  

E-Print Network (OSTI)

Resources. 1989. Delta subsidence investigation progressreversing the effects of subsidence in the Sacramento-SanC. 2004. Levee integrity and subsidence: tied at the hip for

Mount, Jeffrey; Twiss, Robert

2005-01-01T23:59:59.000Z

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


401

Phytoplankton in the Upper San Francisco Estuary: Recent Biomass Trends, Their Causes and Their Trophic Significance  

E-Print Network (OSTI)

flow on the succession and biomass of phytoplankton in acontrol phy- toplankton biomass in south San Francisco Bay?Francisco Estuary: Recent Biomass Trends, Their Causes and

Jassby, Alan

2008-01-01T23:59:59.000Z

402

A novel storage area network (SAN) extension solution over passive optical networks (PONs).  

E-Print Network (OSTI)

??After 9/11 and the 2003 power grid failure in North America, storage area network (SAN) extension has emerged as a critical option to ensure business (more)

Yin, Si

2009-01-01T23:59:59.000Z

403

Kunnskap er makt! : en studie av maktforhold og sosial praksis i San Juan, Puerto Rico.  

E-Print Network (OSTI)

??Sammendrag Grunnlaget for denne masteroppgaven er et 5 mneders langt feltarbeid i San Juan, Puerto Rico. Fra januar til juni 2011 bodde jeg i hovedstaden (more)

Hoff, Tuva Hiby

2012-01-01T23:59:59.000Z

404

La variedad linguistica de la mujer del Area Metropolitana de San Juan, Puerto Rico.  

E-Print Network (OSTI)

??This is an empirical study which aims at describing the speech of women in the Metropolitan Area of San Juan, Puerto Rico. Despite the fact (more)

Pratt-Panford, Comfort

2012-01-01T23:59:59.000Z

405

PSInSAR At San Emidio Desert Area (DOE GTP) | Open Energy Information  

Open Energy Info (EERE)

Page Edit History Facebook icon Twitter icon PSInSAR At San Emidio Desert Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity:...

406

Ceramic analysis and interpretation from Presidio San Saba (41MN1) Menard, Texas.  

E-Print Network (OSTI)

??Excavations at Presidio San Sabá have been underway in Menard, Texas from 2000 to 2007 by Texas Tech University and the Texas Archaeological Society. These (more)

Whitman, Lauren Elizabeth

2009-01-01T23:59:59.000Z

407

Calif--San Joaquin Basin Onshore Crude Oil Reserves in Nonproducing...  

Annual Energy Outlook 2012 (EIA)

Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Calif--San Joaquin Basin Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0...

408

Water alternating enriched gas injection to enhance oil production and recovery from San Francisco Field, Colombia  

E-Print Network (OSTI)

The main objectives of this study are to determine the most suitable type of gas for a water-alternating-gas (WAG) injection scheme, the WAG cycle time, and gas injection rate to increase oil production rate and recovery from the San Francisco field, Colombia. Experimental and simulation studies were conducted to achieve these objectives. The experimental study consisted of injecting reconstituted gas into a cell containing sand and "live" San Francisco oil. Experimental runs were made with injection of (i) the two field gases and their 50-50 mixture, (ii) the two field gases enriched with propane, and (iii) WAG with the two field gases enriched with propane. Produced oil volume, density, and viscosity; and produced gas volume and composition were measured and analyzed. A 1D 7-component compositional simulation model of the laboratory injection cell and its contents was developed. After a satisfactory history-match of the results of a WAG run, the prediction runs were made using the gas that gave the highest oil recovery in the experiments, (5:100 mass ratio of propane:Balcon gas). Oil production results from simulation were obtained for a range of WAG cycles and gas injection rate. The main results of the study may be summarized as follows. For all cases studied, the lowest oil recovery is obtained with injection of San Francisco gas, (60% of original oil-in-place OOIP), and the highest oil recovery (84% OOIP) is obtained with a WAG 7.5-7.5 (cycle of 7.5 minutes water injection followed by 7.5 minutes of gas injection at 872 ml/min). This approximately corresponds to WAG 20-20 in the field (20 days water injection followed by 20 days gas injection at 6.8 MMSCF/D). Results clearly indicate increase in oil recovery with volume of the gas injected. Lastly, of the three injection schemes studied, WAG injection with propane-enriched gas gives the highest oil recovery. This study is based on the one-dimensional displacement of oil. The three-dimensional aspects and other reservoir complexities that adversely affect oil recovery in reality have not been considered. A 3D reservoir simulation study is therefore recommended together with an economic evaluation of the cases before any decision can be made to implement any of the gas or WAG injection schemes.

Rueda Silva, Carlos Fernando

2003-01-01T23:59:59.000Z

409

Nested rollout policy adaptation for Monte Carlo tree search  

Science Conference Proceedings (OSTI)

Monte Carlo tree search (MCTS) methods have had recent success in games, planning, and optimization. MCTS uses results from rollouts to guide search; a rollout is a path that descends the tree with a randomized decision at each ply until reaching a leaf. ...

Christopher D. Rosin

2011-07-01T23:59:59.000Z

410

Monte-carlo calculations for some problems of quantum mechanics  

Science Conference Proceedings (OSTI)

The Monte-Carlo technique for the calculations of functional integral in two one-dimensional quantum-mechanical problems had been applied. The energies of the bound states in some potential wells were obtained using this method. Also some peculiarities in the calculation of the kinetic energy in the ground state had been studied.

Novoselov, A. A., E-mail: novoselov@goa.bog.msu.ru; Pavlovsky, O. V.; Ulybyshev, M. V. [Moscow State University (Russian Federation)

2012-09-15T23:59:59.000Z

411

User Manual - Crystal Ball Monte Carlo POD Simulator  

Science Conference Proceedings (OSTI)

This report provides a user manual for a Monte Carlo simulator using Crystal Ball a spreadsheet add-inthat can be used to predict a noise-dependent structural probability of detection (POD) for steam generator tube integrity assessments. The simulator uses plant noise as one of its inputs and provides a plant-specific POD for condition monitoring and operational assessment.

2006-09-18T23:59:59.000Z

412

Monte Carlo Simulation of Solar Reflectances for Cloudy Atmospheres  

Science Conference Proceedings (OSTI)

Monte Carlo simulations of solar radiative transfer were performed for a well-resolved, large, three-dimensional (3D) domain of boundary layer cloud simulated by a cloud-resolving model. In order to represent 3D distributions of optical ...

H. W. Barker; R. K. Goldstein; D. E. Stevens

2003-08-01T23:59:59.000Z

413

UNIVERSIDADE FEDERAL DE MINAS GERAIS Avenida Antonio Carlos, 6627 -Pampulha  

E-Print Network (OSTI)

UNIVERSIDADE FEDERAL DE MINAS GERAIS Avenida Antonio Carlos, 6627 - Pampulha Belo Horizonte, Minas de 1949, quando foi federalizada. Atualmente a UFMG conta com dois campi em Belo Horizonte - Pampulha e Saúde ­ e um Campus situado em Montes Claros. ? composta por 19 unidades acadêmicas, três unidades

Chaimowicz, Luiz

414

Monte Carlo: in the beginning and some great expectations  

SciTech Connect

The central theme will be on the historical setting and origins of the Monte Carlo Method. The scene was post-war Los Alamos Scientific Laboratory. There was an inevitability about the Monte Carlo Event: the ENIAC had recently enjoyed its meteoric rise (on a classified Los Alamos problem); Stan Ulam had returned to Los Alamos; John von Neumann was a frequent visitor. Techniques, algorithms, and applications developed rapidly at Los Alamos. Soon, the fascination of the Method reached wider horizons. The first paper was submitted for publication in the spring of 1949. In the summer of 1949, the first open conference was held at the University of California at Los Angeles. Of some interst perhaps is an account of Fermi's earlier, independent application in neutron moderation studies while at the University of Rome. The quantum leap expected with the advent of massively parallel processors will provide stimuli for very ambitious applications of the Monte Carlo Method in disciplines ranging from field theories to cosmology, including more realistic models in the neurosciences. A structure of multi-instruction sets for parallel processing is ideally suited for the Monte Carlo approach. One may even hope for a modest hardening of the soft sciences.

Metropolis, N.

1985-01-01T23:59:59.000Z

415

Monte Carlo simulation of neutral beam injection into fusion reactors  

SciTech Connect

Motivations and techniques for the Monte Carlo computer simulation of energetic neutral beam injection for fusion reactors are described. The versatility of this approach allows a significantly more sophisticated treatment of charge transfer collision phenomena and consequent effects on engineering design than available from prior work. Exemplary results for a mirror Fusion Engineering Research Facility (FERF) are discussed. (auth)

Miller, R.L.

1975-09-15T23:59:59.000Z

416

Forecasting Hotel Arrivals and Occupancy Using Monte Carlo Simulation  

E-Print Network (OSTI)

Forecasting Hotel Arrivals and Occupancy Using Monte Carlo Simulation Athanasius Zakhary Faculty University, Giza, Egypt (n.elgayar@fci-cu.edu.eg) #12;Abstract Forecasting hotel arrivals and occupancy simulation approach for the arrivals and occupancy forecasting problem. In this approach we simulate

Atiya, Amir

417

Monte Carlo study of self-heating in nanoscale devices  

Science Conference Proceedings (OSTI)

Progress in device miniaturization combined with the increase in integrated circuit packing density, as described by Moore's law, have been accompanied by an exponential increase in on-chip heat generation. In this context, there is an increasing demand ... Keywords: Electron transport, Electrothermal modeling, Monte Carlo, Nanoscale semiconductor devices, Nanowire MISFETs, Self-heating, Si/III-V heterostructure FETs, Thermal transport

Toufik Sadi; Robert W. Kelsall; Neil J. Pilgrim; Jean-Luc Thobel; Franois Dessenne

2012-03-01T23:59:59.000Z

418

The economic feasibility of enhanced coalbed methane recovery using CO2 sequestration in the San Juan Basin  

E-Print Network (OSTI)

Carbon dioxide emissions are considered a major source of increased atmospheric CO2 levels leading towards global warming. CO2 sequestration in coal bed reservoirs is one technique that can reduce the concentration of CO2 in the air. In addition, due to the chemical and physical properties of carbon dioxide, CO2 sequestration is a potential option for substantially enhancing coal bed methane recovery (ECBM). The San Juan Fruitland coal has the most prolific coal seams in the United States. This basin was studied to investigate the potential of CO2 sequestration and ECBM. Primary recovery of methane is controversial ranging between 20-60% based on reservoir properties in coal bed reservoirs15. Using CO2 sequestration as a secondary recovery technique can enhance coal bed methane recovery up to 30%. Within the San Juan Basin, permeability ranges from 1 md to 100 md. The Fairway region is characterized with higher ranges of permeability and lower pressures. On the western outskirts of the basin, there is a transition zone characterized with lower ranges of permeability and higher pressures. Since the permeability is lower in the transition zone, it is uncertain whether this area is suitable for CO2 sequestration and if it can deliver enhanced coal bed methane recovery. The purpose of this research is to determine the economic feasibility of sequestering CO2 to enhance coal bed methane production in the transition zone of the San Juan Basin Fruitland coal seams. The goal of this research is two- fold. First, to determine whether there is a potential to enhance coal bed methane recovery by using CO2 injection in the transition zone of the San Juan Basin. The second goal is to identify the optimal design strategy and utilize a sensitivity analysis to determine whether CO2 sequestration/ECBM is economically feasible. Based on the results of my research, I found an optimal design strategy for four 160- acre spacing wells. With a high rate injection of CO2 for 10 years, the percentage of recovery can increase by 30% for methane production and it stores 10.5 BCF of CO2. The economic value of this project is $17.56 M and $19.07 M if carbon credits were granted at a price of $5.00/ton. If CO2 was not injected, the project would only give $15.55 M.

Agrawal, Angeni

2003-05-01T23:59:59.000Z

419

Addendum to Event-chain Monte Carlo algorithms for hard-sphere systems  

E-Print Network (OSTI)

We extend the event-chain Monte Carlo algorithm from hard-sphere interactions to general potentials. This event-driven Monte Carlo algorithm is nonlocal and rejection free and allows for the breaking of detailed balance. ...

Bernard, Etienne

420

Parallel algorithms for Monte Carlo particle transport simulation on exascale computing architectures  

E-Print Network (OSTI)

Monte Carlo particle transport methods are being considered as a viable option for high-fidelity simulation of nuclear reactors. While Monte Carlo methods offer several potential advantages over deterministic methods, there ...

Romano, Paul K. (Paul Kollath)

2013-01-01T23:59:59.000Z

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


421

RBU: A COMBINED MONTE CARLO REACTOR-BURNUP PROGRAM FOR THE IBM 709  

SciTech Connect

RBU is a digital computer program for the detailed calculation of the neutron, reactivity, and isotopic history of a reactor in which relatively exact models of the geometry and physical processes are included to permit reliable pre dictions of fuel costs and reactor performance. The program uses the Monte Carlo method to obtain the fine structure of the neutron flux in three space dimensions and energy. Using this fine structure, cross sections are averaged over space and energy to obtain the neutronic properties for equivalent homogeneous one- dimensional regions of space and ranges of energy. These are used in diffusion calculations to obtain the macroscopic flux distribution throughout the reactor. The consumption and production of isotopes is computed for a time step by the solution of sets of partial differential equations involving both the macroscopic and microscopic fluxes. With the new concentrations, diffusion calculations are performed again to obtain macroscopic fluxes for the next time step. At variable intervals, Monte Carlo calculations are again performed to determine the changes in microscopic flux distributions. The cycle is repeated until conditions on the reactivity or other properties dictate the end of the calculation. Programmed control rod manipulation may be included in the calculation. The Monte Carlo, diffusion, or burnup portions of the program may be used separately. The unresolved resonance range is treated by random selection of resonance parameters from appropriate distributions using the Doppler broadened single level Breit- Wigner formula. Resolved resonances are treated similarly with the exception that specific values of the resonance parameters are used. The effects of molecular binding and thermal motion of the nuclei on near-thermal scattering are treated by a simple model capable of incorporating the pertinent physical theory and data. (auth)

Leshan, E.J.; Burr, J.R.; Temme, M.; Thompson, G.T.; Triplett, J.R.

1959-09-30T23:59:59.000Z

422

Data Processing for the SNS EQ-SANS Diffractometer  

Science Conference Proceedings (OSTI)

The scattering data on the Extended Q-Range Small Angle Scattering Diffractometer at the Spallation Neutron Source are stored as neutron events. Each event has two parts: the time of fight of the detected neutron, and an identifier for the neutron's location on the detector. In addition, each event is associated with the source pulse from which the neutron is originated. Due to the high neutron beam intensity at the SNS, the size of the stored data files can easily exceed several Gigabytes. Processing and reducing these data can be very time consuming. The standard way of handling the data at the SNS has been to first transform the data into histograms. On the EQ-SANS, these histograms are further processed into intensity I vs. neutron momentum transfer Q files, I(Q). For a large data, the whole process can take many minutes to hours to complete, which severely limits the turnaround time of an experiment. Experimenters often want to reduce the data quickly and depending on the result, make decisions on the setup of next measurements. They may also need to reduce the data using different inputs and conditions. In this work, we present the implementation of a fast data processing scheme for the EQ-SANS diffractometer. The scattering data are processed directly from neutron event files into I(Q) or other desired formats, greatly reducing the needed computation time. Further speed gains are obtained by the implementation of parallel computing under the Message Passing Interface framework. Most data on the EQ-SANS can now be handled in mere seconds. The process is highly automated. All relevant experimental information that is stored in instrument configuration files are read and processed. In addition, the new implementation is highly flexible. All the data corrections and handlings can be controlled transparently through user inputs. Finally, software implementation enables the slicing of neutron event, which can be used for the study of time dependent phenomena.

Zhao, Jinkui [ORNL

2011-01-01T23:59:59.000Z

423

The continuous configurational Boltzmann biased direct Monte Carlo method for free energy properties of polymer chains  

Science Conference Proceedings (OSTI)

We develop here a highly efficient variant of the Monte Carlo method for direct evaluation of the partition function

Jiro Sadanobu; William A. Goddard III

1997-01-01T23:59:59.000Z

424

PV Validation and Bankability Workshop: San Jose, California  

Science Conference Proceedings (OSTI)

This report is a collaboration between Sandia National Laboratories, the National Renewable Energy Laboratory, and the Florida Solar Energy Center (FSEC). The report provides feedback from the U.S. Department of Energy's (DOE) Solar Program PV Validation and Bankability Workshop in San Jose, California on August 31, 2011. It focuses on the current state of PV in the United States, private funding to fund U.S. PV industry growth, roles and functions of the regional test center program, and ways to improve the current validation and bankability practices.

Granata, J.; Howard, J.

2011-12-01T23:59:59.000Z

425

OPTIMIZATION OF THE HYSPEC DESIGN USING MONTE CARLO SIMULATIONS.  

DOE Green Energy (OSTI)

HYSPEC is a direct geometry spectrometer to be installed at the SNS [1] on beamline 14B where it will view a cryogenic coupled hydrogen moderator, The ''hybrid'' design combines time-of-flight spectroscopy with focusing Bragg optics to provide a high monochromatic flux on small single crystal samples, with a very low background at an extended detector bank. The instrument is optimized for an incident energy range of 3-90meV. It will have a medium energy resolution (2-10%) and will provide a flux on sample of the order of 10{sup 6}-10{sup 7} neutrons/s-cm{sup 2}. The spectrometer will be located in a satellite building outside the SNS experimental hall at the end of a 35m curved supermirror guide. A straight-slotted Fermi chopper will be used to monochromate the neutron beam and to determine the burst width. The 15cm high, 4cm wide beam will be focused onto a 2cm by 2cm area at the sample position using Bragg reflection from one of two crystal arrays. For unpolarized neutron studies these will be Highly Oriented Pyrolitic graphite crystals while for polarized neutron studies these will be replaced with Heusler alloy crystals. These focusing crystal arrays will be placed in a drum shield similar to those used for triple axis spectrometers. Hyspec will have a movable detector bank housing 160 position sensitive detectors. This detector bank will pivot about the sample axis. It will have a radius of 4.5m, a horizontal range of 60{sup o}, and a vertical range of {+-} 7.5{sup o}. In order to reduce background at the detector bank both a curved guide and a T0 chopper will be used. A bank of 20 supermirror bender polarization analyzers [2] will be used to spatially separate the polarized neutrons in the scattered beam so that both scattered neutron spin states can be measured simultaneously. The results of Monte Carlo simulations performed to optimize the instrument design will be discussed.

GHOSH, V.J.; HAGEN, M.E.; LEONHARDT, W.J.; ZALIZNYAK, I.; SHAPIRO, S.M.; PASSELL, L.

2005-04-25T23:59:59.000Z

426

Analysis of communication costs for domain decomposed Monte Carlo methods in nuclear reactor analysis  

Science Conference Proceedings (OSTI)

A domain decomposed Monte Carlo communication kernel is used to carry out performance tests to establish the feasibility of using Monte Carlo techniques for practical Light Water Reactor (LWR) core analyses. The results of the prototype code are interpreted ... Keywords: Monte Carlo, Neutron transport, Performance modeling, Reactor analysis

A. Siegel; K. Smith; P. Fischer; V. Mahadevan

2012-04-01T23:59:59.000Z

427

Data decomposition of Monte Carlo particle transport simulations via tally servers  

Science Conference Proceedings (OSTI)

An algorithm for decomposing large tally data in Monte Carlo particle transport simulations is developed, analyzed, and implemented in a continuous-energy Monte Carlo code, OpenMC. The algorithm is based on a non-overlapping decomposition of compute ... Keywords: Data decomposition, Exascale, Monte Carlo, Neutron transport, Tally server

Paul K. Romano, Andrew R. Siegel, Benoit Forget, Kord Smith

2013-11-01T23:59:59.000Z

428

Shadow hybrid Monte Carlo: an efficient propagator in phase space of macromolecules  

Science Conference Proceedings (OSTI)

Shadow hybrid Monte Carlo (SHMC) is a new method for sampling the phase space of large molecules, particularly biological molecules. It improves sampling of hybrid Monte Carlo (HMC) by allowing larger time steps and system sizes in the molecular dynamics ... Keywords: conformational sampling, hybrid Monte Carlo, modified Hamiltonian, sampling methods, symplectic integrator

Jess A. Izaguirre; Scott S. Hampton

2004-11-01T23:59:59.000Z

429

A sequential Monte Carlo/Quantum Mechanics study of the dipole polarizability of liquid benzene  

Science Conference Proceedings (OSTI)

Metropolis Monte Carlo classical simulation and quantum mechanical calculations are performed to obtain the dipole polarizability of liquid benzene. Super-molecular configurations are sampled from NVT Monte Carlo simulation of liquid benzene at room ... Keywords: Monte Carlo simulation, density-functional theory, intermediate-neglect of differential overlap (INDO), liquid benzene, polarizability

Eudes E. Fileti; Sylvio Canuto

2004-12-01T23:59:59.000Z

430

Design and installation of continuous flow and water quality monitoring stations to improve water quality forecasting in the lower San Joaquin River  

E-Print Network (OSTI)

improve water quality forecasting in the lower San Joaquinimprove water quality forecasting in the lower San Joaquinan important real-time forecasting station for water quality

Quinn, Nigel W.T.

2007-01-01T23:59:59.000Z

431

The Influence of Meteorology on the Air Quality in the San Luis Obispo County-Southwestern San Joaquin Valley Region for 3?6 August 1990  

Science Conference Proceedings (OSTI)

The large volume of data measured during the 1990 summer San Joaquin Valley Air Quality Study/Atmospheric Utility Signatures, Predictions, and Experiments (SJVAQS/AUSPEX) provides a unique opportunity to examine the influence of meteorology on ...

Elizabeth M. Niccum; Donald E. Lehrman; William R. Knuth

1995-08-01T23:59:59.000Z

432

CBRE CONSULTING, INC. IV. UC SAN DIEGO CONTRIBUTIONS TO THE REGIONAL WORKFORCE  

E-Print Network (OSTI)

,370 undergraduates and 5,510 graduate students. U.S. News and World Report rated UC San Diego 8th among public Historical information provided by UC San Diego Office of Institutional Research. 22 #12;CBRE CONSULTING, INC Biological Sciences 0 0 25 37 62 Chemistry and Chemical Engineering 105 1 73 31 210 Electrical Engineering

Wang, Deli

433

EIS-0477: San Juan Basin Energy Connect Project, San Juan County, New Mexico and La Plata County, Colorado  

Energy.gov (U.S. Department of Energy (DOE))

The Department of the Interiors Bureau of Land Management is preparing this EIS to evaluate the environmental impacts of a proposal to construct a 230-kilovolt transmission line from the Farmington area in northwest New Mexico to Ignacio, Colorado, to relieve transmission constraints, serve new loads, and offer economic development through renewable energy development in the San Juan Basin. DOEs Western Area Power Administration is a cooperating agency; the proposed transmission line would require an interconnection with Western's Shiprock Substation, near Farmington.

434

San Diego Regional Clean Fuels Coalition | Open Energy Information  

Open Energy Info (EERE)

Fuels Coalition Fuels Coalition Jump to: navigation, search Name San Diego Regional Clean Fuels Coalition Place San Diego, California Zip 92123 Region Southern CA Area Notes Network of more than 80 volunteer, community-based coalitions, which develop public/private partnerships to work together as a coalition Website http://www.sdcleanfuels.org/ Coordinates 32.8102534°, -117.1323579° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.8102534,"lon":-117.1323579,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

435

Development of San Kamphaeng Geothermal Energy Project in Thailand  

SciTech Connect

San Kamphaeng Geothermal Field located in northern Thailand, has been selected for a case study and exploration drilling program due to relevant geologic data obtained from the area and favorable sociological conditions. The first geothermal exploration well in Thailand, GTE-1, was commenced at the end of 1981. At present, six geothermal exploration wells (GTE-1 to GTE-6), with an average maximum depth of 500 m., have been drilled. Two wells encountered hot water while the rest are dry. GTE-2 is now discharging hot water of 85C with a very small discharge. GTE-6 encountered hot water of 120C at a depth of 489 m. It is now discharging hot water of 104SC at 3.6 bars pressure and at approximately 4 1/s at the well head. A number of shallow wells, with depths of less than 50 m., were drilled in the thermal manifestation area. Here, resistivity surveys showed relatively low values at shallow depths, suggesting possible zones of thermal water accumulation. Five shallow wells encountered hot water with temperatures ranging from 100C to 130C. A reservoir model of the San Kamphaeng geothermal system is proposed. Under the joint technical program between the governments of Thailand and Japan, a deep exploration well of 1500 m. is scheduled to start in July of 1984.

Ramingwong, T.; Praserdvigai, S.

1984-06-01T23:59:59.000Z

436

Comparing Respondent-Driven Sampling and Targeted Sampling Methods of Recruiting Injection Drug Users in San Francisco  

E-Print Network (OSTI)

the Urban Health Program, RTI International, San Francisco,Kral, Urban Health Program, RTI International, 114 Sansome

2010-01-01T23:59:59.000Z

437

CX-002032: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Categorical Exclusion Determination 2: Categorical Exclusion Determination CX-002032: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant: Bike Lane Activity CX(s) Applied: A11, B5.1 Date: 04/20/2010 Location(s): San Luis Obispo County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The County of San Luis Obispo, California proposes to use $192.000 of Energy Efficiency and Conservation Block Grant funding for Construction of Class II Bicycle Lanes in Templeton, CA on Main Street from Ramada Drive. This activity will require road widening, clearing, grading, and paving activities. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-002032.pdf More Documents & Publications CX-001675: Categorical Exclusion Determination CX-005026: Categorical Exclusion Determination

438

CX-002943: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

943: Categorical Exclusion Determination 943: Categorical Exclusion Determination CX-002943: Categorical Exclusion Determination Combined Heat and Power (CHP) Integrated with Burners for Packaged Boilers CX(s) Applied: B3.6, B5.1 Date: 06/03/2010 Location(s): San Jose, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory Demonstrate an Integrated Boiler Burner Energy System at existing Hitachi site in San Jose, California. Design work and administration will be at CMC-Engineering in Santa Clara, California location, and laboratory testing at Sunnyvale, California. This categorical exclusion is for demonstration tasks only. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-002943.pdf More Documents & Publications CX-002944: Categorical Exclusion Determination CX-005633: Categorical Exclusion Determination

439

CX-004345: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

45: Categorical Exclusion Determination 45: Categorical Exclusion Determination CX-004345: Categorical Exclusion Determination Fire Safe and Energy Independent Communities CX(s) Applied: A9, B5.1 Date: 10/26/2010 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The City of San Diego proposes to use federal funds to install a roof mounted photovoltaic system on the Scripps Ranch Recreation Center. This National Environmental Policy Act (NEPA) determination is a follow-on from the original determination (GF0-10-096) which required the recipient to submit site specific information for proposed solar installations. This project will include the installation of a 30 kilowatt roof mounted photovoltaic system, installation of a battery storage system within an

440

Categorical Exclusion Determinations: B5.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

818: Categorical Exclusion Determination 818: Categorical Exclusion Determination Everett Energy Efficiency Retrofits CX(s) Applied: A9, B5.1 Date: 04/22/2010 Location(s): Everett, Massachusetts Office(s): Energy Efficiency and Renewable Energy April 22, 2010 CX-001765: Categorical Exclusion Determination San Ramon Light-Emitting Diode Street Light Conversion CX(s) Applied: B5.1 Date: 04/22/2010 Location(s): San Ramon, California Office(s): Energy Efficiency and Renewable Energy April 21, 2010 CX-001901: Categorical Exclusion Determination MicroLink Devices Solar Cell Fabrication Facility CX(s) Applied: B1.31, B5.1 Date: 04/21/2010 Location(s): Niles, Illinois Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 21, 2010 CX-001874: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant- City of Lincoln Statement

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441

U.S. Navy - San Clemente Island, California | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Clemente Island, California San Clemente Island, California U.S. Navy - San Clemente Island, California October 7, 2013 - 10:12am Addthis Photo of Wind Turbine on San Clemente Island, California San Clemente Island is one of the Channel Islands off the southern coast of California. The U.S. Navy owns the 21-mile long island, making it one of the Navy's largest real estate assets. The Navy uses the island for research, development, testing, evaluation, and training. Originally, the electrical needs of the island were provided by four diesel generators. In 1998 two wind turbines were installed through a joint project of the Department of Defense, the Department of Energy, and the Environmental Protection Agency working through the Federal Energy Management Program (FEMP). A third turbine was installed in 1999, allowing

442

EIS-0472: Uranium Leasing Program, Mesa, Montrose, and San Miguel Counties,  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Uranium Leasing Program, Mesa, Montrose, and San Miguel 2: Uranium Leasing Program, Mesa, Montrose, and San Miguel Counties, Colorado EIS-0472: Uranium Leasing Program, Mesa, Montrose, and San Miguel Counties, Colorado Summary This EIS evaluates the environmental impacts of management alternatives for DOE's Uranium Leasing Program, under which DOE administers tracts of land in western Colorado for exploration, development, and the extraction of uranium and vanadium ores. The cooperating agencies are U.S. Department of the Interior; Bureau of Land Management; U.S. Environmental Protection Agency; Colorado Department of Transportation; Colorado Division of Reclamation, Mining, and Safety; Colorado Parks and Wildlife; Mesa County Commission; Montrose County Commission; San Juan County Commission; San Miguel County Board of

443

City of San Jose - Solar Hot Water Heaters and Photovoltaic Systems Permit  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

San Jose - Solar Hot Water Heaters and Photovoltaic Systems San Jose - Solar Hot Water Heaters and Photovoltaic Systems Permit Requirements City of San Jose - Solar Hot Water Heaters and Photovoltaic Systems Permit Requirements < Back Eligibility Commercial Construction Industrial Installer/Contractor Multi-Family Residential Residential Savings Category Solar Buying & Making Electricity Program Info State California Program Type Solar/Wind Permitting Standards Provider City of San Jose Building, Planning and Electrical Permits are required for Photovoltiac (PV) systems installed in San Jose. In most cases, PV systems must also undergo a Building Plan Review and an Electrical Plan Review. Building Plan Reviews are not required for installations that meet all of the following criteria: 1. Total panel weight (including frame) is not greater than 5 lbs. per

444

DOE - Office of Legacy Management -- General Electric Co - San Jose - CA 13  

Office of Legacy Management (LM)

General Electric Co - San Jose - CA General Electric Co - San Jose - CA 13 FUSRAP Considered Sites Site: General Electric Co. - San Jose (CA.13 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: San Jose , California CA.13-1 Evaluation Year: 1995 CA.13-2 Site Operations: Fabricated uranium metal. CA.13-1 Site Disposition: Eliminated - No Authority - NRC licensed CA.13-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium CA.13-1 Radiological Survey(s): No Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to General Electric Co. - San Jose CA.13-1 - General Electric Letter; MacCready to Travis; Subject: Extrusion of Uranium Dioxide for General Electric - APED; Circa 1957

445

Q&A With Byron Washom of the University of California at San Diego |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Q&A With Byron Washom of the University of California at San Diego Q&A With Byron Washom of the University of California at San Diego Q&A With Byron Washom of the University of California at San Diego July 22, 2010 - 4:57pm Addthis Byron Washom, Director of Strategic Energy Initiatives at the University of California at San Diego, poses with an electric vehicle and some of the solar panels that cover UCSD's campus.| Photo courtesy of UCSD Byron Washom, Director of Strategic Energy Initiatives at the University of California at San Diego, poses with an electric vehicle and some of the solar panels that cover UCSD's campus.| Photo courtesy of UCSD Lorelei Laird Writer, Energy Empowers Byron Washom is helping to define and create solar energy's future. In 1984, Washom's company built a concentrated solar energy generator using

446

Q&A With Byron Washom of the University of California at San Diego |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Q&A With Byron Washom of the University of California at San Diego Q&A With Byron Washom of the University of California at San Diego Q&A With Byron Washom of the University of California at San Diego July 22, 2010 - 4:57pm Addthis Byron Washom, Director of Strategic Energy Initiatives at the University of California at San Diego, poses with an electric vehicle and some of the solar panels that cover UCSD's campus.| Photo courtesy of UCSD Byron Washom, Director of Strategic Energy Initiatives at the University of California at San Diego, poses with an electric vehicle and some of the solar panels that cover UCSD's campus.| Photo courtesy of UCSD Lorelei Laird Writer, Energy Empowers Byron Washom is helping to define and create solar energy's future. In 1984, Washom's company built a concentrated solar energy generator using

447

EA-1697: San Joaquin Valley Right-of-Way Project, California | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

97: San Joaquin Valley Right-of-Way Project, California 97: San Joaquin Valley Right-of-Way Project, California EA-1697: San Joaquin Valley Right-of-Way Project, California Summary DOE's Western Area Power Administration is preparing this EA to evaluate the environmental impacts of right-of-way maintenance (including facility inspection and repair, vegetation management, and equipment upgrades for transmission lines and associated rights-or-way, access roads, substations, and a maintenance facility) in the San Joaquin Valley in California. Public Comment Opportunities No public comment opportunities available at this time. Documents Available for Download December 2, 2011 EA-1697: Finding of No Significant Impact Right-of-Way Maintenance in the San Joaquin Valley, California December 2, 2011 EA-1697: Final Environmental Assessment

448

Comments of San Diego Gas & Electric Company | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

San Diego Gas & Electric Company San Diego Gas & Electric Company Comments of San Diego Gas & Electric Company San Diego Gas & Electric Company ("SDG&E") submits these comments in response to the above-enumerated Request for Information noticed by the Department on May 11, 2010. SDG&E is a regulated electric and gas utility operating pursuant to authorities granted to it by the Federal Energy Regulatory Commission and the State of California. SDG&E serves 3.4 million consumers in the San Diego and southern Orange County areas of California via 1.4 million electric meters and 830,000 gas meters. SDG&E's sister company, the Southern California Gas Company, is the nation's largest gas-distribution utility, serving another 20.3 million consumers in a

449

New detector array improves neutron count capability at HFIR's Bio-SANS |  

NLE Websites -- All DOE Office Websites (Extended Search)

Bio-SANS neutron count capability improves Bio-SANS neutron count capability improves New detector array improves neutron count capability at HFIR's Bio-SANS Agatha Bardoel - June 29, 2012 Bio-SANS team that worked on installation of the new detector system. Front row, left to right: Doug Selby, Steve Hicks, Shuo Qian, Sai Venkatesh Pingali, Kathy Bailey, Amy Black Jones, and Derrick Williams. Back row, left to right: Ed Blackburn, John Palatinus, William Brad O'Dell, Mike Humphreys, Justin Beal, Ken Littrell, Greg Jones, Kevin Berry, Volker Urban, Randy Summers, and Ron Maples. Bio-SANS, the Biological Small-Angle Neutron Scattering Instrument at HFIR recently had a detector upgrade that will provide significantly improved performance that is more in line with the instrument's capability. Shorter experiment times are expected, which means more experiments can be

450

Community Response to Concentrating Solar Power in the San Luis Valley |  

Open Energy Info (EERE)

Response to Concentrating Solar Power in the San Luis Valley Response to Concentrating Solar Power in the San Luis Valley Jump to: navigation, search Name Community Response to Concentrating Solar Power in the San Luis Valley Agency/Company /Organization National Renewable Energy Laboratory, University of Colorado Partner B.C. Farhar, L.M. Hunter, T.M. Kirkland, and K.J. Tierney Focus Area Solar Phase Bring the Right People Together, Evaluate Options, Get Feedback Resource Type Case studies/examples Availability Publicly available--Free Publication Date 2010/06/01 Website http://www.nrel.gov/docs/fy10o Locality San Luis Valley, Colorado References Community Response to Concentrating Solar Power in the San Luis Valley[1] Contents 1 Overview 2 Highlights 3 Related Tools 4 References Overview This report is about the social acceptance of utility-scale concentrating

451

The dynamics of quantum criticality: Quantum Monte Carlo and holography  

E-Print Network (OSTI)

Understanding the real time dynamics of systems near quantum critical points at non-zero temperatures constitutes an important yet challenging problem, especially in two spatial dimensions where interactions are strong. We present detailed quantum Monte Carlo results for two separate realizations of the superfluid-insulator transition of bosons on a lattice: their low-frequency conductivities are found to have the same universal dependence on imaginary frequency and temperature. We then use the structure of the real time dynamics of conformal field theories described by the holographic gauge/gravity duality to make progress on the difficult problem of analytically continuing the Monte Carlo data to real time. Our method yields quantitative and experimentally testable results on the frequency-dependent conductivity at the quantum critical point, and on the spectrum of quasinormal modes in the vicinity of the superfluid-insulator quantum phase transition. Extensions to other observables and universality classes are discussed.

William Witczak-Krempa; Erik Sorensen; Subir Sachdev

2013-09-11T23:59:59.000Z

452

Ab initio Monte Carlo investigation of small lithium clusters.  

Science Conference Proceedings (OSTI)

Structural and thermal properties of small lithium clusters are studied using ab initio-based Monte Carlo simulations. The ab initio scheme uses a Hartree-Fock/density functional treatment of the electronic structure combined with a jump-walking Monte Carlo sampling of nuclear configurations. Structural forms of Li{sub 8} and Li{sub 9}{sup +} clusters are obtained and their thermal properties analyzed in terms of probability distributions of the cluster potential energy, average potential energy and configurational heat capacity all considered as a function of the cluster temperature. Details of the gradual evolution with temperature of the structural forms sampled are examined. Temperatures characterizing the onset of structural changes and isomer coexistence are identified for both clusters.

Srinivas, S.

1999-06-16T23:59:59.000Z

453

Quantum Monte Carlo with Coupled-Cluster wave functions  

E-Print Network (OSTI)

We introduce a novel many body method which combines two powerful many body techniques, viz., quantum Monte Carlo and coupled cluster theory. Coupled cluster wave functions are introduced as importance functions in a Monte Carlo method designed for the configuration interaction framework to provide rigorous upper bounds to the ground state energy. We benchmark our method on the homogeneous electron gas in momentum space. The importance function used is the coupled cluster doubles wave function. We show that the computational resources required in our method scale polynomially with system size. Our energy upper bounds are in very good agreement with previous calculations of similar accuracy, and they can be systematically improved by including higher order excitations in the coupled cluster wave function.

Roggero, Alessandro; Pederiva, Francesco

2013-01-01T23:59:59.000Z

454

Quantum Monte Carlo with Coupled-Cluster wave functions  

E-Print Network (OSTI)

We introduce a novel many body method which combines two powerful many body techniques, viz., quantum Monte Carlo and coupled cluster theory. Coupled cluster wave functions are introduced as importance functions in a Monte Carlo method designed for the configuration interaction framework to provide rigorous upper bounds to the ground state energy. We benchmark our method on the homogeneous electron gas in momentum space. The importance function used is the coupled cluster doubles wave function. We show that the computational resources required in our method scale polynomially with system size. Our energy upper bounds are in very good agreement with previous calculations of similar accuracy, and they can be systematically improved by including higher order excitations in the coupled cluster wave function.

Alessandro Roggero; Abhishek Mukherjee; Francesco Pederiva

2013-04-04T23:59:59.000Z

455

Monte Carlo Simulations of Neutron Oil well Logging Tools  

E-Print Network (OSTI)

Monte Carlo simulations of simple neutron oil well logging tools into typical geological formations are presented.The simulated tools consist of both 14 MeV pulsed and continuous Am-Be neutron sources with time gated and continuous gamma ray detectors respectively.The geological formation consists of pure limestone with 15% absolute porosity in a wide range of oil saturation.The particle transport was performed with the Monte Carlo N-Particle Transport Code System, MCNP-4B.Several gamma ray spectra were obtained at the detector position that allow to perform composition analysis of the formation.In particular, the ratio C/O was analyzed as an indicator of oil saturation.Further calculations are proposed to simulate actual detector responses in order to contribute to understand the relation between the detector response with the formation composition

Azcurra, M

2002-01-01T23:59:59.000Z

456

MC++: Parallel, portable, Monte Carlo neutron transport in C++  

Science Conference Proceedings (OSTI)

We have developed an implicit Monte Carlo neutron transport code in C++ using the Parallel Object-Oriented Methods and Applications (POOMA) class library. MC++ runs in parallel on and is portable to a wide variety of platforms, including MPPs, clustered SMPs, and individual workstations. It contains appropriate classes and abstractions for particle transport and parallelism. Current capabilities of MC++ are discussed, along with future plans and physics and performance results on many different platforms.

Lee, S.R.; Cummings, J.C. [Los Alamos National Lab., NM (United States); Nolen, S.D. [Texas A& M Univ., College Station, TX (United States). Dept. of Nuclear Engineering

1997-02-01T23:59:59.000Z

457

Towards a Revised Monte Carlo Neutral Particle Surface Interaction Model  

DOE Green Energy (OSTI)

The components of the neutral- and plasma-surface interaction model used in the Monte Carlo neutral transport code DEGAS 2 are reviewed. The idealized surfaces and processes handled by that model are inadequate for accurately simulating neutral transport behavior in present day and future fusion devices. We identify some of the physical processes missing from the model, such as mixed materials and implanted hydrogen, and make some suggestions for improving the model.

D.P. Stotler

2005-06-09T23:59:59.000Z

458

Coupled MHD-Monte Carlo transport model for dense plasmas  

SciTech Connect

A two-dimensional, two fluid model of the MHD equations has been coupled to a Monte Carlo transport model of high energy, non-Maxwellian ions. The MHD part of the model assumes complete ionization and includes a perfect gas law for a scalar pressure, a tensor artificial viscosity, electron and ion thermal conduction, electron-ion coupling, and a radiation loss term. A simple Ohm's Law is used with a B/sub theta/ magnetic field. The MHD equations were solved in Lagrangian coordinates. The conservation equations were differenced explicitly and the diffusion-type equations implicitly using the splitting technique. The Monte Carlo model solves the equation of motion for high energy ions, moving through and suffering small and large angle collisions with the fluid Maxwellian plasma. The source of high energy ions is the thermonuclear reactions of the hydrogen isotopes, or it may be an externally injected beam of neutralized ions. In addition to using the usual Maxwell averaged thermonuclear cross sections for calculating the number of reactions taking place within the Maxwellian plasma, the high energy ions may suffer collisions resulting in a reaction. In the Monte Carlo model all neutrons are assumed to escape, and all energetic ions of Z less than or equal to 2 are followed. (auth)

Chandler, W.P.

1975-06-01T23:59:59.000Z

459

A reverse Monte Carlo method for deriving optical constants of solids from reflection electron energy-loss spectroscopy spectra  

SciTech Connect

A reverse Monte Carlo (RMC) method is developed to obtain the energy loss function (ELF) and optical constants from a measured reflection electron energy-loss spectroscopy (REELS) spectrum by an iterative Monte Carlo (MC) simulation procedure. The method combines the simulated annealing method, i.e., a Markov chain Monte Carlo (MCMC) sampling of oscillator parameters, surface and bulk excitation weighting factors, and band gap energy, with a conventional MC simulation of electron interaction with solids, which acts as a single step of MCMC sampling in this RMC method. To examine the reliability of this method, we have verified that the output data of the dielectric function are essentially independent of the initial values of the trial parameters, which is a basic property of a MCMC method. The optical constants derived for SiO{sub 2} in the energy loss range of 8-90 eV are in good agreement with other available data, and relevant bulk ELFs are checked by oscillator strength-sum and perfect-screening-sum rules. Our results show that the dielectric function can be obtained by the RMC method even with a wide range of initial trial parameters. The RMC method is thus a general and effective method for determining the optical properties of solids from REELS measurements.

Da, B.; Sun, Y.; Ding, Z. J. [Hefei National Laboratory for Physical Sciences at Microscale and Department of Physics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, People's Republic of China (China)] [Hefei National Laboratory for Physical Sciences at Microscale and Department of Physics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, People's Republic of China (China); Mao, S. F. [School of Nuclear Science and Technology, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, People's Republic of China (China)] [School of Nuclear Science and Technology, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, People's Republic of China (China); Zhang, Z. M. [Centre of Physical Experiments, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, People's Republic of China (China)] [Centre of Physical Experiments, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, People's Republic of China (China); Jin, H.; Yoshikawa, H.; Tanuma, S. [Advanced Surface Chemical Analysis Group, National Institute for Materials Science, 1-2-1 Sengen Tsukuba, Ibaraki 305-0047 (Japan)] [Advanced Surface Chemical Analysis Group, National Institute for Materials Science, 1-2-1 Sengen Tsukuba, Ibaraki 305-0047 (Japan)

2013-06-07T23:59:59.000Z

460

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0, 2009 0, 2009 CX-000255: Categorical Exclusion Determination Kansas City Wichita CX(s) Applied: A9, A11, B5.1 Date: 12/20/2009 Location(s): Wichita, Kansas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2009 CX-000254: Categorical Exclusion Determination California County San Bernardino CX(s) Applied: A9, A11, B5.1 Date: 12/20/2009 Location(s): San Bernardino County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2009 CX-000253: Categorical Exclusion Determination California County Monterey CX(s) Applied: A9, A11, B5.1 Date: 12/20/2009 Location(s): Monterey County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 20, 2009 CX-000252: Categorical Exclusion Determination

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461

CX-002757: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

57: Categorical Exclusion Determination 57: Categorical Exclusion Determination CX-002757: Categorical Exclusion Determination Drill One Exploratory Borehole on Lease Tract 15A by Golden Eagle Uranium CX(s) Applied: B3.1, B1.3 Date: 06/15/2010 Location(s): San Miguel County, Colorado Office(s): Legacy Management Golden Eagle Uranium LLC proposes to drill one 5-inch diameter exploratory borehole on United States Department of Energy lease tract C-SR-15A, located in western San Miguel County, Colorado. The drilling would be completed by a truck-mounted rotary drill rig capable of boring to 1,000 feet below ground surface. The drilling would be completed dry to an estimated depth of 600 feet below ground surface. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-002757.pdf More Documents & Publications CX-000283: Categorical Exclusion Determination

462

CX-000628: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

28: Categorical Exclusion Determination 28: Categorical Exclusion Determination CX-000628: Categorical Exclusion Determination Fire Safe and Sustainable Communities CX(s) Applied: A9, A11 Date: 01/20/2010 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The City of San Diego will use Department of Energy and cost share funding to improve crisis response capability and enhance energy security through the installation of a solar photovoltaic system with an energy storage system. Additional activities would not involve analyzing four City-owned Multifamily Affordable Housing buildings for the potential for solar retrofitting and net metering. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000628.pdf More Documents & Publications CX-000627: Categorical Exclusion Determination

463

Categorical Exclusion Determinations: B3.6 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

30, 2010 30, 2010 CX-003641: Categorical Exclusion Determination Demolition and Recycling of the SIX Tesla Superconducting Dipole Magnet System CX(s) Applied: B3.6 Date: 08/30/2010 Location(s): DuPage County, Illinois Office(s): Science, Argonne Site Office August 30, 2010 CX-003848: Categorical Exclusion Determination San Diego Center for Algae Biotechnology CX(s) Applied: B3.6 Date: 08/30/2010 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office August 30, 2010 CX-003653: Categorical Exclusion Determination Massachusetts - City - New Bedford CX(s) Applied: A1, A9, A11, B2.5, B3.6, B5.1 Date: 08/30/2010 Location(s): New Bedford, Massachusetts Office(s): Energy Efficiency and Renewable Energy August 27, 2010 CX-003663: Categorical Exclusion Determination

464

San Francisco, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Francisco, California: Energy Resources Francisco, California: Energy Resources (Redirected from San Francisco) Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.7749295°, -122.4194155° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7749295,"lon":-122.4194155,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

465

San Antonio, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Antonio, Texas: Energy Resources Antonio, Texas: Energy Resources (Redirected from San Antonio, TX) Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.4241219°, -98.4936282° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.4241219,"lon":-98.4936282,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

466

San Luis Rey, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Rey, California: Energy Resources Rey, California: Energy Resources (Redirected from San Luis Rey, CA) Jump to: navigation, search GeoNames ID 5392350 Coordinates 33.23198°, -117.32365° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.23198,"lon":-117.32365,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

467

City of San Antonio, Texas (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Antonio, Texas (Utility Company) Antonio, Texas (Utility Company) Jump to: navigation, search Name San Antonio City of Place Texas Utility Id 16604 Utility Location Yes Ownership M NERC Location TRE NERC ERCOT Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png ELP (Extra Large Power Service) Commercial LLP (Large Lighting and Power Service) Commercial

468

San Bernard Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Bernard Electric Coop, Inc Bernard Electric Coop, Inc Jump to: navigation, search Name San Bernard Electric Coop, Inc Place Texas Utility Id 16638 Utility Location Yes Ownership C NERC Location TRE NERC ERCOT Yes ISO Ercot Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 100 W High Pressure Sodium Lighting 175 W Metal Halide Lighting 250 W High Pressure Sodium Lighting 250 W Metal Halide Lighting 400 W High Pressure Sodium Lighting 400 W Metal Halide Lighting COMM Commercial GS1 Residential GS3 Residential RES-1 Residential RES-3 Residential

469

San Jose, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Jose, California: Energy Resources Jose, California: Energy Resources (Redirected from San Jose) Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.3393857°, -121.8949555° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.3393857,"lon":-121.8949555,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

470

Microsoft Word - San Diego 2004 ORT Conference paper_1.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

presented at the Third International Conference on Oxidation and Reduction Technologies for Soil and presented at the Third International Conference on Oxidation and Reduction Technologies for Soil and Groundwater in San Diego, CA, on October 24-28, 2004 PROJECT OVERVIEW: SUCCESSFUL FIELD-SCALE IN SITU THERMAL NAPL REMEDIATION ABSTRACT: The U.S. Department of Energy (DOE) successfully completed a field-scale remediation to remove non-aqueous phase liquids (NAPLs) from the subsurface at the Northeast Site on the Young-Rainey Science, Technology, and Research (STAR) Center, Largo, Florida. The Young-Rainey STAR Center is a former DOE facility that was previously known as the Pinellas Plant and the Pinellas STAR Center. The remediation project encompassed an area of 10,000 ft 2 and depths extending to 35 ft below ground surface. Prior to the remediation, DOE evaluated technologies that had the potential to remove

471

University of California, San Diego (Scripps) | Open Energy Information  

Open Energy Info (EERE)

(Scripps) (Scripps) Jump to: navigation, search Hydro | Hydrodynamic Testing Facilities Name University of California, San Diego (Scripps) Address Scripps Institution of Oceanography, 8825 Biological Grade Place La Jolla, California Zip 92037 Sector Hydro Phone number (858) 534-4303 Website http://hydraulicslab.ucsd.edu/ Coordinates 32.8696162°, -117.2526848° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.8696162,"lon":-117.2526848,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

San Emidio II Geothermal Project | Open Energy Information  

Open Energy Info (EERE)

Emidio II Geothermal Project Emidio II Geothermal Project Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Development Project: San Emidio II Geothermal Project Project Location Information Coordinates The following coordinate was not recognized: 40°22'59" N, 119°'23" W.The following coordinate was not recognized: 40°22'59" N, 119°'23" W. Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

473

Federal Reserve Bank of San Francisco, on January 4,  

E-Print Network (OSTI)

the IBEFA/ASSA meeting held in San Francisco. Today the Federal Reserve faces some of the greatest challenges in its history as it strives to restore economic growth, job creation, and financial stability and to preserve price stability.To achieve these policy objectives, the Federal Reserve is committed to using every tool at its disposal. The challenges are all too well known.Almost 18 months since the onset of the now-global financial crisis, the functioning of financial markets remains greatly impaired, and diminished credit flows are impeding the ability of households and firms to borrow and spend.As a consequence, the U.S. economy is undergoing a sharp contraction, with almost two million jobs lost thus far and unemployment

unknown authors

2009-01-01T23:59:59.000Z

474

Hybrid energy system cost analysis: San Nicolas Island, California  

DOE Green Energy (OSTI)

This report analyzes the local wind resource and evaluates the costs and benefits of supplementing the current diesel-powered energy system on San Nicolas Island, California (SNI), with wind turbines. In Section 2.0 the SNI site, naval operations, and current energy system are described, as are the data collection and analysis procedures. Section 3.0 summarizes the wind resource data and analyses that were presented in NREL/TP 442-20231. Sections 4.0 and 5.0 present the conceptual design and cost analysis of a hybrid wind and diesel energy system on SNI, with conclusions following in Section 6. Appendix A presents summary pages of the hybrid system spreadsheet model, and Appendix B contains input and output files for the HYBRID2 program.

Olsen, T.L.; McKenna, E.

1996-07-01T23:59:59.000Z

475

ENERGY RESEARCH AND DEVELOPMENT ADMINISTRATION SAN FRANCISCO OPERATIONS OFFICE  

Office of Legacy Management (LM)

OR. I-s- - OR. I-s- - c" - ENERGY RESEARCH AND DEVELOPMENT ADMINISTRATION SAN FRANCISCO OPERATIONS OFFICE 1333 EIROAOWAY OAKLAND, CALIFORNIA 64612 f&t/ 12, 19-X E. K. Loop, Chief Process Facilities Safety Branch, Division of Safety, Standards and Compliance P'&.DIOLOGICAL SITUATION AT ALBANY METALLURGICAL RESEARCH CENTER The following information is submitted in response to your subject request. The enclosed table provides the history of the AEC and ERDA spon- sored research activities conducted at Albany Metallurgical Re- search Center (AMRC). None of these activities has been covered by an AEC or NRC license. However, AMRC has filed application for an amendment to an existing NRC license in order to cover the ongoing ERDA sponsored radioactive work.

476

City of San Marcos, Texas (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Marcos, Texas (Utility Company) Marcos, Texas (Utility Company) Jump to: navigation, search Name City of San Marcos Place Texas Utility Id 28978 Utility Location Yes Ownership M NERC Location TRE NERC ERCOT Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Large General Service (Primary) Commercial Large General Service (Secondary) Commercial Medium General Service Commercial Metered Street Lights Lighting Metered Traffic Lights Lighting Municipal Park Service Commercial Municipal Pumping Service Commercial Outdoor Area Lights- 100W Lighting

477

San Ramon, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Ramon, California: Energy Resources Ramon, California: Energy Resources (Redirected from San Ramon, CA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.7799273°, -121.9780153° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7799273,"lon":-121.9780153,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

478

Karen Avenue Wind Farm II (San Gorgonio Farms) | Open Energy Information  

Open Energy Info (EERE)

Farm II (San Gorgonio Farms) Farm II (San Gorgonio Farms) Jump to: navigation, search Name Karen Avenue Wind Farm II (San Gorgonio Farms) Facility Karen Avenue Windfarm II (San Gorgonio Farms) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner San Gorgonio Farms Developer San Gorgonio Farms Energy Purchaser Southern California Edison Co Location San Gorgonio CA Coordinates 33.9095°, -116.734° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.9095,"lon":-116.734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

479

Geomorphic and Geochemical Characteristics of Five Alpine Fens in the San Juan Mountains, Colorado  

E-Print Network (OSTI)

Fens are abundant in the San Juan Mountains. By exploring the geomorphology and geochemistry of fen wetlands, the functions that fens serve can be better understood. In this research, two main studies were conducted involving the geomorphology and geochemistry of fens. The first study involved a complex investigation of the geomorphology of five fen sites in the San Juan Mountains near Silverton, Colorado. Geomorphic maps were constructed for each fen site at a scale of ~1:3,000. A geomorphic classification scheme was then made based on fen location, and fens were placed in one of three categories: 1) valley-bottom, 2) valley-side, and 3) terrace. Fen circularity and elongation values were calculated for thirty fens to determine morphometry. A pattern for elongation of fens emerged between the three types of alpine fens with valley-bottom fens having an average elongation value of 1.7, valley-side 2.4, and terrace 1.9. Valley-side fens are more elongated than valley-bottom and terrace fens, which exhibit similar elongation values. In addition, sediment samples at each site were sectioned along visual breaks in the sediment column and were sieved. Mean phi values were calculated for each section and at each site. The mean phi values at California Gulch, Glacial Lake Ironton, Howardsville, Red Mountain Pass North, and Red Mountain Pass South, are 0.2112, 0.9045, 1.6028, 0.0178, and 1.0516, respectively. Overall, coarse-grained particles are associated with valley-side fens, and medium-grained particles are associated with valley-bottom and terrace fens. The second part of the study involved investigating the geochemistry of fen sediment. The geochemistry portion of this research focused on concentration and isotopic ratios of Pb and the amount of 137Cs in fen sediment to better understand variations of Pb with depth and calculate approximate sedimentation rates. Based on isotopic ratios of Pb, binary mixing was determined with the presence of ore mineralized Pb and non-ore mineralized. Binary mixing of two types of ore-mineralized Pb is present at the Howardsville fen and both ore-mineralized and non-ore mineralized Pb is present at the Red Mountain Pass North fen. Based on 137Cs in fen sediment at Howardsville, an average rate of deposition of sediment is approximately 0.16 cm/yr, with a visible change in sedimentation rates pre- and post-1960s.

McClenning, Bree Kathleen 1985-

2012-12-01T23:59:59.000Z

480

Kinetic Lattice Monte Carlo Simulation ofKinetic Lattice Monte Carlo Simulation of Polycrystalline Thin film growthPolycrystalline Thin film growth  

E-Print Network (OSTI)

grain orientations s The first application of this code is to the growth of Mo tips, including chemicalKinetic Lattice Monte Carlo Simulation ofKinetic Lattice Monte Carlo Simulation of Polycrystalline Applications Motorola National Science Foundation National Center for Supercomputer Applications Motorola #12

Adams, James B

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


481

Cation dopant distributions in nanostructures of transition-metal doped ZnO:Monte Carlo simulations  

SciTech Connect

The path from trace doping to solid solution formation involves an intermediate regime in which the doping level is a few to several atomic percent. In this regime, dopant-dopant interactions, which are driven by the spatial arrangement of dopants, are critical factors in determining the resulting properties. Conventional wisdom counts on simple probabilistic methods for predicting dopant distributions. Here, we use Monte Carlo simulations to show that widely used, straightforward statistical models, such as that of Behringer1, are accurate only in the limit of infinitesimally small surfaceto-volume ratio. For epitaxial films and nanoparticles, where much of the current interest resides, dopant distributions depend strongly on the surface-to-volume ratio. We present empirical expressions that accurately predict dopant bonding configurations as a function of film or particle size, shape and dopant concentration for doped ZnO, a material of particular interest in semiconductor spintronics.

Droubay, Timothy; Kaspar, Tiffany C.; Kaspar, Bryce P.; Chambers, Scott A.

2009-02-01T23:59:59.000Z

482

A Monte-Carlo method for ex-core neutron response  

SciTech Connect

A Monte Carlo neutron transport kernel capability primarily for ex-core neutron response is described. The capability consists of the generation of a set of response kernels, which represent the neutron transport from the core to a specific ex-core volume. This is accomplished by tagging individual neutron histories from their initial source sites and tracking them throughout the problem geometry, tallying those that interact in the geometric regions of interest. These transport kernels can subsequently be combined with any number of core power distributions to determine detector response for a variety of reactor Thus, the transport kernels are analogous to an integrated adjoint response. Examples of pressure vessel response and ex-core neutron detector response are provided to illustrate the method.

Gamino, R.G.; Ward, J.T.; Hughes, J.C. [Lockheed Martin Corp., Schenectady, NY (United States)

1997-10-01T23:59:59.000Z

483

Frozen-orbital and downfolding calculations with auxiliary-field quantum Monte Carlo  

E-Print Network (OSTI)

We describe the implementation of the frozen-orbital and downfolding approximations in the auxiliary-field quantum Monte Carlo (AFQMC) method. These approaches can provide significant computational savings compared to fully correlating all the electrons. While the many-body wave function is never explicit in AFQMC, its random walkers are Slater determinants, whose orbitals may be expressed in terms of any one-particle orbital basis. It is therefore straightforward to partition the full N-particle Hilbert space into active and inactive parts to implement the frozen-orbital method. In the frozen-core approximation, for example, the core electrons can be eliminated in the correlated part of the calculations, greatly increasing the computational efficiency, especially for heavy atoms. Scalar relativistic effects are easily included using the Douglas-Kroll-Hess theory. Using this method, we obtain a way to effectively eliminate the error due to single-projector, norm-conserving pseudopotentials in AFQMC. We also i...

Purwanto, Wirawan; Krakauer, Henry

2013-01-01T23:59:59.000Z

484

South Belridge fields, Borderland basin, U. S. , San Joaquin Valley  

SciTech Connect

South Belridge is a giant field in the west San Joaquin Valley, Kern County. Cumulative field production is approximately 700 MMBO and 220 BCFG, with remaining recoverable reserves of approximately 500 MMBO. The daily production is nearly 180 MBO from over 6100 active wells. The focus of current field development and production is the shallow Tulare reservoir. Additional probable diatomite reserves have been conservatively estimated at 550 MMBO and 550 BCFG. South Belridge field has two principal reservoir horizons; the Mio-Pliocene Belridge diatomite of the upper Monterey Formation, and the overlying Plio-Pleistocene Tulare Formation. The field lies on the crest of a large southeast-plunging anticline, sub-parallel to the nearby San Andreas fault system. The reservoir trap in both the Tulare and diatomite reservoir horizons is a combination of structure, stratigraphic factors, and tar seals; the presumed source for the oil is the deeper Monterey Formation. The diatomite reservoir produces light oil (20-32{degree} API gravity) form deep-marine diatomite and diatomaceous shales with extremely high porosity (average 60%) and low permeability (average 1 md). In contrast, the shallow ({lt}1000 ft (305 m) deep) overlying Tulare reservoir produces heavy oil (13-14{degree} API gravity) from unconsolidated, arkosic, fluviodeltaic sands of high porosity (average 35%) and permeability (average 3000 md). The depositional model is that of a generally prograding fluviodeltaic system sourced in the nearby basin-margin highlands. More than 6000 closely spaced, shallow wells are the key to steamflood production from hundreds of layered and laterally discontinuous reservoir sands which create laterally and vertically discontinuous reservoir flow units.

Miller, D.D. (Mobil Exploration and Producing U.S., Inc., Denver, CO (United States)); McPherson, J.G. (Mobil Research and Development Corp., Dallas, TX (United States))

1991-03-01T23:59:59.000Z

485

Resource investigation of low- and moderate-temperature geothermal areas in San Bernardino, California  

SciTech Connect

The California Division of Mines and Geology (CDMG) selected the San Bernardino area for detailed geothermal resource investigation because the area was known to contain promising geothermal resource sites, the area contained a large population center, and the City of San Bernardino had expressed serious interest in developing the area's geothermal resource. Ninety-seven geothermal wells and springs were identified and plotted on a compiled geologic map of the 40-square-mile study area. These wells and springs were concentrated in three distinguishable resource areas: Arrowhead Hot Springs, South San Bernardino, and Harlem Hot Springs--in each of which detailed geophysical, geochemical, and geological surveys were conducted. The Arrowhead Hot Springs geothermal area lies just north of the City of San Bernardino in the San Bernardino Mountains astride a shear zone (offshoot of the San Andreas fault) in pre-Cambrian gneiss and schist. The Harlem Hot Springs geothermal area, on the east side of the City, and the South San Bernardino geothermal area, on the south side, have geothermal reservoirs in Quaternary alluvial material which overlies a moderately deep sedimentary basin bound on the southwest by the San Jacinto fault (a ground water barrier). Geothermometry calculations suggest that the Arrowhead Hot Springs geothermal area, with a maximum reservoir temperature of 142 C, may have the highest maximum reservoir temperature of the three geothermal areas. The maximum temperature recorded by CDMG in the South San Bernardino geothermal area was 56 C from an artesian well, while the maximum temperature recorded in the Harlem Hot Springs geothermal areas was 49.5 C at 174 meters (570 feet) in an abandoned water well.

Youngs, Leslie G.

1982-07-01T23:59:59.000Z

486

A user`s manual for MASH 1.0: A Monte Carlo Adjoint Shielding Code System  

Science Conference Proceedings (OSTI)

The Monte Carlo Adjoint Shielding Code System, MASH, calculates neutron and gamma-ray environments and radiation protection factors for armored military vehicles, structures, trenches, and other shielding configurations by coupling a forward discrete ordinates air-over-ground transport calculation with an adjoint Monte Carlo treatment of the shielding geometry. Efficiency and optimum use of computer time are emphasized. The code system include the GRTUNCL and DORT codes for air-over-ground transport calculations, the MORSE code with the GIFT5 combinatorial geometry package for adjoint shielding calculations, and several peripheral codes that perform the required data preparations, transformations, and coupling functions. MASH is the successor to the Vehicle Code System (VCS) initially developed at Oak Ridge National Laboratory (ORNL). The discrete ordinates calculation determines the fluence on a coupling surface surrounding the shielding geometry due to an external neutron/gamma-ray source. The Monte Carlo calculation determines the effectiveness of the fluence at that surface in causing a response in a detector within the shielding geometry, i.e., the ``dose importance`` of the coupling surface fluence. A coupling code folds the fluence together with the dose importance, giving the desired dose response. The coupling code can determine the dose response a a function of the shielding geometry orientation relative to the source, distance from the source, and energy response of the detector. This user`s manual includes a short description of each code, the input required to execute the code along with some helpful input data notes, and a representative sample problem (input data and selected output edits) for each code.

Johnson, J.O. [ed.

1992-03-01T23:59:59.000Z

487

Process Characterisation with Monte-Carlo Wave-Functions  

E-Print Network (OSTI)

We present a numerically efficient method for the characterisation of a quantum process subject to dissipation and noise. The master equation evolution of a maximally entangled state of the quantum system and a non-evolving ancilla system is simulated by Monte-Carlo wave-functions. We show how each stochastic state vectors provides quantities that are readily combined into an average process \\chi-matrix. Our method significantly reduces the computational complexity in comparison with standard characterisation methods. It also readily provides an upper bound on the trace distance between the ideal and simulated process based on the evolution of only a single wave function of the entangled system.

Jake Gulliksen; D. D. Bhaktavatsala Rao; Klaus Mlmer

2013-09-19T23:59:59.000Z

488

Bounded limit for the Monte Carlo point-flux-estimator  

Science Conference Proceedings (OSTI)

In a Monte Carlo random walk the kernel K(R,E) is used as an expected value estimator at every collision for the collided flux phi/sub c/ r vector,E) at the detector point. A limiting value for the kernel is derived from a diffusion approximation for the probability current at a radius R/sub 1/ from the detector point. The variance of the collided flux at the detector point is thus bounded using this asymptotic form for K(R,E). The bounded point flux estimator is derived. (WHK)

Grimesey, R.A.

1981-01-01T23:59:59.000Z

489

Adaptively Learning an Importance Function Using Transport Constrained Monte Carlo  

Science Conference Proceedings (OSTI)

It is well known that a Monte Carlo estimate can be obtained with zero-variance if an exact importance function for the estimate is known. There are many ways that one might iteratively seek to obtain an ever more exact importance function. This paper describes a method that has obtained ever more exact importance functions that empirically produce an error that is dropping exponentially with computer time. The method described herein constrains the importance function to satisfy the (adjoint) Boltzmann transport equation. This constraint is provided by using the known form of the solution, usually referred to as the Case eigenfunction solution.

Booth, T.E.

1998-06-22T23:59:59.000Z

490

Validation of Phonon Physics in the CDMS Detector Monte Carlo  

SciTech Connect

The SuperCDMS collaboration is a dark matter search effort aimed at detecting the scattering of WIMP dark matter from nuclei in cryogenic germanium targets. The CDMS Detector Monte Carlo (CDMS-DMC) is a simulation tool aimed at achieving a deeper understanding of the performance of the SuperCDMS detectors and aiding the dark matter search analysis. We present results from validation of the phonon physics described in the CDMS-DMC and outline work towards utilizing it in future WIMP search analyses.

McCarthy, K.A.; Leman, S.W.; Anderson, A.J.; /MIT; Brandt, D.; /SLAC; Brink, P.L.; Cabrera, B.; Cherry, M.; /Stanford U.; Do Couto E Silva, E.; /SLAC; Cushman, P.; /Minnesota U.; Doughty, T.; /UC, Berkeley; Figueroa-Feliciano, E.; /MIT; Kim, P.; /SLAC; Mirabolfathi, N.; /UC, Berkeley; Novak, L.; /Stanford U.; Partridge, R.; /SLAC; Pyle, M.; /Stanford U.; Reisetter, A.; /Minnesota U. /St. Olaf Coll.; Resch, R.; /SLAC; Sadoulet, B.; Serfass, B.; Sundqvist, K.M.; /UC, Berkeley /Stanford U.

2012-06-06T23:59:59.000Z