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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

NPP Tropical Forest: San Carlos De Rio Negro, Venezuela  

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

Solar Feasibility Study May 2013 - San Carlos Apache Tribe  

SciTech Connect (OSTI)

The San Carlos Apache Tribe (Tribe) in the interests of strengthening tribal sovereignty, becoming more energy self-sufficient, and providing improved services and economic opportunities to tribal members and San Carlos Apache Reservation (Reservation) residents and businesses, has explored a variety of options for renewable energy development. The development of renewable energy technologies and generation is consistent with the Tribe’s 2011 Strategic Plan. This Study assessed the possibilities for both commercial-scale and community-scale solar development within the southwestern portions of the Reservation around the communities of San Carlos, Peridot, and Cutter, and in the southeastern Reservation around the community of Bylas. Based on the lack of any commercial-scale electric power transmission between the Reservation and the regional transmission grid, Phase 2 of this Study greatly expanded consideration of community-scale options. Three smaller sites (Point of Pines, Dudleyville/Winkleman, and Seneca Lake) were also evaluated for community-scale solar potential. Three building complexes were identified within the Reservation where the development of site-specific facility-scale solar power would be the most beneficial and cost-effective: Apache Gold Casino/Resort, Tribal College/Skill Center, and the Dudleyville (Winkleman) Casino.

Rapp, Jim [Parametrix] [Parametrix; Duncan, Ken [San Carlos Apache Tribe] [San Carlos Apache Tribe; Albert, Steve [Parametrix] [Parametrix

2013-05-01T23:59:59.000Z

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

An Assessment of the Economic Importance of the San Carlos Island Shrimp Processing Industry to the Lee County Economy  

E-Print Network [OSTI]

An Assessment of the Economic Importance of the San Carlos Island Shrimp Processing Industry processing industry (and the lost economic contribution of each diverted shrimp vessel) to the local economy to the Lee County Economy Chuck Adams, David Mulkey, and Alan Hodges Food and Resource Economics Department

Florida, University of

6

San Carlos Apache Tribe Set to Break Ground on New Solar Project...  

Office of Environmental Management (EM)

its extensive solar resources to power tribal facilities, including this 10-kilowatt (kW) solar PV system, which generates energy to run the tribal radio tower. Photo from San...

7

MONTE-CARLO BURNUP CALCULATION UNCERTAINTY QUANTIFICATION AND PROPAGATION DETERMINATION  

SciTech Connect (OSTI)

MONTEBURNS is a Monte-Carlo depletion routine utilizing MCNP and ORIGEN 2.2. Uncertainties exist in the MCNP transport calculation, but this information is not passed to the depletion calculation in ORIGEN or saved. To quantify this transport uncertainty and determine how it propagates between burnup steps, a statistical analysis of a multiple repeated depletion runs is performed. The reactor model chosen is the Oak Ridge Research Reactor (ORR) in a single assembly, infinite lattice configuration. This model was burned for a 25.5 day cycle broken down into three steps. The output isotopics as well as effective multiplication factor (k-effective) were tabulated and histograms were created at each burnup step using the Scott Method to determine the bin width. It was expected that the gram quantities and k-effective histograms would produce normally distributed results since they were produced from a Monte-Carlo routine, but some of results do not. The standard deviation at each burnup step was consistent between fission product isotopes as expected, while the uranium isotopes created some unique results. The variation in the quantity of uranium was small enough that, from the reaction rate MCNP tally, round off error occurred producing a set of repeated results with slight variation. Statistical analyses were performed using the {chi}{sup 2} test against a normal distribution for several isotopes and the k-effective results. While the isotopes failed to reject the null hypothesis of being normally distributed, the {chi}{sup 2} statistic grew through the steps in the k-effective test. The null hypothesis was rejected in the later steps. These results suggest, for a high accuracy solution, MCNP cell material quantities less than 100 grams and greater kcode parameters are needed to minimize uncertainty propagation and minimize round off effects.

Nichols, T.; Sternat, M.; Charlton, W.

2011-05-08T23:59:59.000Z

8

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

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

'. 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

Reversible jump Markov chain Monte Carlo computation and Bayesian model determination  

E-Print Network [OSTI]

Markov chain Monte Carlo methods for Bayesian computation have until recently been restricted to problems where the joint distribution of all variables has a density with respect to some xed standard underlying measure. They have therefore not been available for application to Bayesian model determination, where the dimensionality of the parameter vector is typically not xed. This article proposes a new framework for the construction of reversible Markov chain samplers that jump between parameter subspaces of di ering dimensionality, which is exible and entirely constructive. It should therefore have wide applicability in model determination problems. The methodology is illustrated with applications to multiple change-point analysis in one and two dimensions, and toaBayesian comparison of binomial experiments.

Peter J. Green

1995-01-01T23:59:59.000Z

10

Determination of the interaction potential from the pair distribution function: An inverse Monte Carlo technique  

Science Journals Connector (OSTI)

In this work we present an efficient procedure to evaluate effective pair potentials compatible with “experimental” distribution functions using a Monte Carlo simulation scheme. Using computer simulation results for the pair distribution functions, we have applied the method to a Lennard-Jones fluid and to a model of liquid aluminum. In both cases the procedure was able to recover with high accuracy the actual interaction potential of the systems. Moreover, the procedure can easily incorporate additional information, for instance, thermodynamic properties, in order to improve the reliability of the results.

N. G. Almarza and E. Lomba

2003-07-03T23:59:59.000Z

11

SANS TRAINING  

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

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

E-Print Network 3.0 - absolute monte carlo Sample Search Results  

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

Engineering, University of California at San Diego Collection: Engineering 37 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

13

Apply Today! City of San Carlos  

E-Print Network [OSTI]

reduce the impact of these increasing costs NOW by installing energy-saving lights, heating and cooling. These included lighting, HVAC, variable air volume, air handler, and control upgrades. In addition to the energy Electric Demand: 16 kW Simple Payback: 8.1 years California Energy Commission 1516 9th Street Sacramento

14

CX-000118: Categorical Exclusion Determination | Department of Energy  

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

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

15

CX-008186: Categorical Exclusion Determination | Department of Energy  

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

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

16

Categorical Exclusion Determinations: Native American and Alaskan Native  

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

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

17

CX-000117: Categorical Exclusion Determination | Department of Energy  

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

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

18

LAKE COLUSA SAN JOAQUIN  

E-Print Network [OSTI]

DORADO AMADOR SONOMA NAPA YOLO CALAVERAS SAN JOAQUIN TUOLUMNE MONO ALPINE MARIPOSA MERCED MADERA FRESNO LAKE COLUSA SUTTER YUBA NEVADA SIERRA PLACER EL DORADO AMADOR SONOMA NAPA YOLO CALAVERAS SAN JOAQUIN

19

Office of the President One Washington Square San Jose, California 95192-0002 408/924-1177 February 15, 1990 PD 90-01  

E-Print Network [OSTI]

along a well-lighted street, this revised directive regulates bicycle riding on campus only during street. (within a prescribed bicycle lane when this is provided): 4th Street, 7th Street except between Clark Library and Engineering, 9th Street, 10th Street, San Carlos Street, San Salvador Street and San

Su, Xiao

20

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 (OSTI)

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

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

San Diego Bay Bibliography  

E-Print Network [OSTI]

sections. Project on Heavy Metal Pollution in San Diegopollution; fresh water dilution; silt exposure; heavy metals;pollution; fresh water dilution; silt exposure; heavy metals;

Brueggeman, Peter

1994-01-01T23:59:59.000Z

22

San Luis Transmission Project  

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

San Diego County, California  

Broader source: Energy.gov [DOE]

Location: San Diego County, CaliforniaSeed Funding: $3.9 million—a portion of Los Angeles County's $30 million fundingTarget Building Types: Residential (single-family and multifamily)Website:...

24

San Jose, California  

Broader source: Energy.gov [DOE]

Location: Hillview-TOCKNA community in San Jose, CaliforniaSeed Funding: $750,000—a portion of Los Angeles County's $30 million fundingTarget Building Types: Residential (single-family)Learn More...

25

San Angelo Metropolitan Transportation Plan  

E-Print Network [OSTI]

Approved by the Policy Committee on November 16, 2009 Amendment (Draft) January 14, 2010 (Final) February 11, 2010 (pending Board approval) Prepared by: San Angelo Metropolitan Planning Organization In cooperation with... of the U.S. Department of Transportation. SAN ANGELO METROPOLITAN PLANNING ORGANIZATION POLICY COMMITTEE MEMBERSHIP Voting Members Jon Mark Hogg, Chairperson* Mayor Pro Tempore, City of San Angelo Clinton Bailey City Engineer, City of San...

San Angelo Metropolitan Planning Organization

2009-11-16T23:59:59.000Z

26

Solar Policy Environment: San Francisco  

Broader source: Energy.gov [DOE]

The City and County of San Francisco’s “Solar San Francisco” Initiative will strive to remove barriers to the deployment of solar technologies in San Francisco as part of its effort to reduce its overall greenhouse gas emissions to 20% below 1990 levels by the year 2012.

27

Recipient: County of San Bernadino,CA  

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

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

28

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

29

Monte Carlo fundamentals  

SciTech Connect (OSTI)

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

San Diego State police department  

E-Print Network [OSTI]

San Diego State University police department 2011 Safety and Security report imperial valley campus #12;A Message from the Chief of Police Welcome to San Diego State University - Imperial Valley Campus University Imperial Valley Campus. As members of the IV campus community we all share the responsibility

Ponce, V. Miguel

31

San Diego State police department  

E-Print Network [OSTI]

San Diego State University police department 2012 Safety and Security report imperial valley campus #12;A Message from the Chief of Police Welcome to San Diego State University - Imperial Valley Campus University Imperial Valley Campus. As members of the IV campus community we all share the responsibility

Ponce, V. Miguel

32

A stochastic Monte Carlo computer simulation of the drop-weight test for the determination of nil-ductility transition temperature  

E-Print Network [OSTI]

on the surface of the specimen blank can produce heat affected zones that are tougher than the base metal, which could lead to artificially low predictions of NDIT [17[. In such m O zS O e O 0 LU 4 CR ki ?E O Z -I of 0 tiE I- O z 1 V gm 0) c e H N... aside, the manner in which test temperatures are chosen may contribute most to the variance and bias inherent in the drO-wweigh test method (ASTM E 208) for determining the nil-ductility transition temperature, NDTI; for ferritic steels...

Lambert, Michael Andrew

1990-01-01T23:59:59.000Z

33

Stanislav Boldyrev, Jean Carlos ...  

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

Residual energy in MHD turbulence and in the solar wind Stanislav Boldyrev, Jean Carlos Perez, and Vladimir Zhdankin Citation: AIP Conf. Proc. 1436, 18 (2012); doi: 10.1063...

34

Better Buildings Neighborhood Program: San Jose  

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

35

(SAN DIEGO ASSOCIATION OF GOVERNMENTS)  

E-Print Network [OSTI]

and green building programs available. This action plan was developed with assistance from CCSESANDAG (SAN DIEGO ASSOCIATION OF GOVERNMENTS) SUSTAINABLE REGION PROGRAM ACTION PLAN CONSULTANTREPORT Prepared For: California Energy Commission Prepared By: SANDAG, California Center for Sustainable

36

Geology of the San Diego margin, Carlsbad to La Jolla, San Diego County, California.  

E-Print Network [OSTI]

??Geophysical interpretation of nearly 800 line km of various types of seismic reflection data along the San Diego margin between Carlsbad and San Diego was… (more)

Webb, James Franklin

1984-01-01T23:59:59.000Z

37

CX-003797: Categorical Exclusion Determination | Department of...  

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

Exclusion Determination Recovery Act: San Bernardino Associated Government Natural Gas Truck Project - Alternative Fueling Station in Rancho Cucamonga, California CX(s)...

38

Carlo Barbante Italian Delegate  

E-Print Network [OSTI]

=me(research(&(the( bioeconomy! !Secure,(clean(and(efficient( energy( !Smart,(green(and(integrated( transport! !Climate Challenges: Food Security, Sustainable Agriculture and Forestry, Marine and Maritime and Inland Water Carlo Barbante Italian Delegate SC5-H2020 Horizon 2020 Work Programme 2014 Societal Challenge 5

Schettini, Raimondo

39

Workshop For Analyzing SANS Data  

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

40

A Groundwater Dynamic Simulation Model: Application to the Upper San Pedro Basin  

E-Print Network [OSTI]

A Groundwater Dynamic Simulation Model: Application to the Upper San Pedro Basin Report Prepared by using tools such as tracers to determine groundwater travel times and this dynamic simulation modeling

Fay, Noah

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

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,

42

Better Buildings Neighborhood Program: San Diego  

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

43

San Diego County- Wind Regulations (California)  

Broader source: Energy.gov [DOE]

The County of San Diego has established zoning guidelines for wind turbine systems of varying sizes in the unincorporated areas of San Diego County. Wind turbine systems can be classified as small,...

44

Monitoring and Managing Water Quality in the San Francisco Estuary San Francisco Estuary Institute and the  

E-Print Network [OSTI]

Monitoring and Managing Water Quality in the San Francisco Estuary San Francisco Estuary Institute;Contribution 517 Monitoring and Managing Water Quality in the San Francisco Estuary San Francisco Estuary information generated each year on water quality in the Estu- ary accessible to water quality managers

45

IMPERIAL VALLEY SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

BULLETIN THE IMPERIAL VALLEY CAMPUS 2004-2005 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE present the 2004-2005 Bulletin of the Imperial Valley Campus of San Diego State University. Its in the educational opportunities offered at the Imperial Valley Campus of San Diego State University and look forward

Gallo, Linda C.

46

University of California San Francisco Foundation  

E-Print Network [OSTI]

University of California San Francisco Foundation Annual Financial Report June 30, 2008 and 2007 C:\\Temp-delete\\June-30-2008.doc 9/8/2008 4:59:20 PM Version 5 #12;University of California San Francisco Foundation Index University of California San Francisco Foundation In our opinion, the accompanying statements of net assets

Yamamoto, Keith

47

University of California San Francisco Foundation  

E-Print Network [OSTI]

University of California San Francisco Foundation Financial Statements June 30, 2012 and 2011 #12;University of California San Francisco Foundation Index June 30, 2012 and 2011 Page(s) Report of Independent University of California San Francisco Foundation In our opinion, the accompanying statements of net position

Yamamoto, Keith

48

University of California San Francisco Foundation  

E-Print Network [OSTI]

University of California San Francisco Foundation Annual Financial Report June 30, 2009 and 2008 #12;University of California San Francisco Foundation Index June 30, 2009 and 2008 Page(s) Report University of California San Francisco Foundation In our opinion, the accompanying statements of net assets

Yamamoto, Keith

49

University of California San Francisco Foundation  

E-Print Network [OSTI]

University of California San Francisco Foundation Financial Statements June 30, 2011 and 2010 #12;University of California San Francisco Foundation Index June 30, 2011 and 2010 Page(s) Report of Independent .............................................................................................................. 10­23 #12;#12;University of California San Francisco Foundation Management's Discussion and Analysis

Yamamoto, Keith

50

Building Momentum UC San Diego Foundation  

E-Print Network [OSTI]

Building Momentum UC San Diego Foundation Financial Statements June 30, 2011, and 2010 #12;INDEX 1;1UC San Diego Foundation Financial Statements 2010­11 Report of Independent Auditors The Board of Trustees UC San Diego Foundation In our opinion, the accompanying statements of net assets and the related

Russell, Lynn

51

Solar Policy Environment: San Diego  

Broader source: Energy.gov [DOE]

The objective of this project is to support the City’s Green Vision, which is to ultimately ensure that 100% of the city’s electricity needs are met by renewable resources. Over a 24-moth period, the City will implement strategies to achieve a 15% increase in solar installations in San Jose, a 50% increased awareness and knowledge in the community, and more opportunities to purchase or invest in green power.

52

Solar Policy Environment: San José  

Broader source: Energy.gov [DOE]

The objective of this project is to support the City’s Green Vision, which is to ultimately ensure that 100% of the city’s electricity needs are met by renewable resources. Over a 24-moth period, the City will implement strategies to achieve a 15% increase in solar installations in San José, a 50% increased awareness and knowledge in the community, and more opportunities to purchase or invest in green power.

53

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

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

54

Water Management Strategies for the San Joaquin Valley and San Francisco Bay Area  

E-Print Network [OSTI]

i Water Management Strategies for the San Joaquin Valley and San Francisco Bay Area: an Engineering in Water Resource Management ............. 3 CALVIN Model Overview ...................................................... 26 Changes in Delivery and Scarcity Costs .................................. 35 Environmental Water

Lund, Jay R.

55

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]

56

San Miguel Corp | Open Energy Information  

Open Energy Info (EERE)

Product: Philippine beverage, food and packaging company. It is planning a number of ethanol plants and is also studying plans to enter the solar sector. References: San Miguel...

57

Demonstration Home Program—San Diego  

Broader source: Energy.gov [DOE]

Presents the California Center for Sustainable Energy's communications strategies for, challenges of, and lessons learned from its Home Tour event in San Diego.

58

Experimental Forest: A Vision The San DimasThe San Dimas  

E-Print Network [OSTI]

and San Dimas Canyons, a sinuous region of chaparral-coated hills, little forested flats and delightfulExperimental Forest: A Vision The San DimasThe San Dimas UUninitteed Std Staattes Des Reseeaarrcch Sth Staattioionn United States Department of Agriculture Forest Service Pacific Southwest Research

Standiford, Richard B.

59

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

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

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...

60

P.O. Box 45339 San Francisco, CA  

E-Print Network [OSTI]

UCSF P.O. Box 45339 San Francisco, CA 94145-0339 UCSF P.O. Box 45339 San Francisco, CA 94145-0339 UCSF P.O. Box 45339 San Francisco, CA 94145-0339 UCSF P.O. Box 45339 San Francisco, CA 94145-0339 UCSF P.O. Box 45339 San Francisco, CA 94145-0339 UCSF P.O. Box 45339 San Francisco, CA 94145-0339 UCSF P

Yamamoto, Keith

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

APPENDIX G: REFERENCES* City and County of San Francisco, Department of City Planning, San Francisco General Plan, 1988 (as  

E-Print Network [OSTI]

and Objectives, November 1994. University of California, San Francisco, Final Environmental Impact Report of California, San Francisco, Laurel Heights Final Environmental Impact Report, April 1990. * All University Project Final Environmental Impact Report, 1994. University of California, San Francisco, Revised Laurel

Mullins, Dyche

62

San Diego, California: Solar in Action (Brochure), Solar America...  

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

San Diego, California: Solar in Action (Brochure), Solar America Cities, Energy Efficiency & Renewable Energy (EERE) San Diego, California: Solar in Action (Brochure), Solar...

63

San Francisco, California: Solar in Action (Brochure), Solar...  

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

San Francisco, California: Solar in Action (Brochure), Solar America Cities, Energy Efficiency & Renewable Energy (EERE) San Francisco, California: Solar in Action (Brochure),...

64

San Bernardino District Heating District Heating Low Temperature...  

Open Energy Info (EERE)

San Bernardino District Heating District Heating Low Temperature Geothermal Facility Facility San Bernardino District Heating Sector Geothermal energy Type District Heating...

65

City of San Augustine, Texas (Utility Company) | Open Energy...  

Open Energy Info (EERE)

City of San Augustine, Texas (Utility Company) Jump to: navigation, search Name: City of San Augustine Place: Texas References: EIA Form EIA-861 Final Data File for 2010 -...

66

John Shalf Gives Talk at San Francisco High Performance Computing...  

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

John Shalf Gives Talk at San Francisco High Performance Computing Meetup John Shalf Gives Talk at San Francisco High Performance Computing Meetup September 17, 2014 XBD200503 00083...

67

Beyond the Aquifer : planning for San Antonio's future water supply.  

E-Print Network [OSTI]

??This report examines water supply planning issues in San Antonio, Texas. San Antonio is unique among large cities in the United States in that it… (more)

Laughlin, Nathan Daniel

2010-01-01T23:59:59.000Z

68

Santa Clara Valley Transportation Authority and San Mateo County...  

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

Santa Clara Valley Transportation Authority and San Mateo County Transit District Santa Clara Valley Transportation Authority and San Mateo County Transit District Fuel Cell...

69

San Francisco Bay Conservation and Development Commission | Open...  

Open Energy Info (EERE)

and Development Commission Jump to: navigation, search Logo: San Francisco Bay Conservation and Development Commission Name: San Francisco Bay Conservation and Development...

70

Santa Clara Valley Transportation Authority and San Mateo County...  

Office of Environmental Management (EM)

Santa Clara Valley Transportation Authority and San Mateo County Transit District -- Fuel Cell Transit Buses: Evaluation Results Santa Clara Valley Transportation Authority and San...

71

San Antonio, Texas Data Dashboard | Department of Energy  

Energy Savers [EERE]

Data Dashboard San Antonio, Texas Data Dashboard The data dashboard for San Antonio, Texas, a partner in the Better Buildings Neighborhood Program. bbnpbban0003569pmcdashboard...

72

San Antonio, Texas: Solar in Action (Brochure), Solar America...  

Energy Savers [EERE]

San Antonio, Texas: Solar in Action (Brochure), Solar America Cities, Energy Efficiency & Renewable Energy (EERE) San Antonio, Texas: Solar in Action (Brochure), Solar America...

73

EECBG Success Story: San Antonio Small Businesses "Seeing the...  

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

San Antonio Small Businesses "Seeing the Light" with Energy Upgrades EECBG Success Story: San Antonio Small Businesses "Seeing the Light" with Energy Upgrades March 21, 2012 -...

74

San Diego Hero Alliance: Community-Based Social Marketing Pilot...  

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

San Diego Hero Alliance: Community-Based Social Marketing Pilot Program San Diego Hero Alliance: Community-Based Social Marketing Pilot Program Presents an overview of the...

75

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

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

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.

76

Directions to Jordan Hall From San Francisco  

E-Print Network [OSTI]

Directions to Jordan Hall From San Francisco: · Take Highway 101 South. · Exit at Embarcadero Rd, underneath the placard that reads "Jordan Hall". From San Jose: · Take Highway 101 North. · Exit at the end of Palm Drive, underneath the placard that reads "Jordan Hall". From Oakland/East Bay: · Take

Grill-Spector, Kalanit

77

JORDAN HALL Directions from San Francisco  

E-Print Network [OSTI]

JORDAN HALL Directions from San Francisco · Take Highway 101 South. · Exit at Embarcadero Rd, underneath the placard that reads "Jordan Hall". Directions from San Jose · Take Highway 101 North. · Exit at the end of Palm Drive, underneath the placard that reads "Jordan Hall". Directions from Oakland/East Bay

Wagner, Anthony

78

IMPERIAL VALLEY SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

BULLETIN THE IMPERIAL VALLEY CAMPUS 2006-2007 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE pleasure that we present the 2006-2007 Bulletin of the Imperial Valley Campus of San Diego State University of Imperial Valley. During this time we have evolved from an institution created to grant elementary teaching

Gallo, Linda C.

79

IMPERIAL VALLEY SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

BULLETIN THE IMPERIAL VALLEY CAMPUS 2005-2006 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE pleasure that we present the 2005-2006 Bulletin of the Imperial Valley Campus of San Diego State University of Imperial Valley. During this time we have evolved from an institution created to grant elementary teach ing

Gallo, Linda C.

80

IMPERIAL VALLEY SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

BULLETIN THE IMPERIAL VALLEY CAMPUS 2007-2008 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE pleasure that we present the 2007-2008 Bulletin of the Imperial Valley Campus of San Diego State University of Imperial Valley. During this time we have evolved from an institution created to grant elementary teaching

Gallo, Linda C.

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.


81

IMPERIAL VALLEY SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

BULLETIN THE IMPERIAL VALLEY CAMPUS 2008-2009 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE pleasure that we present the 2008-2009 Bulletin of the Imperial Valley Campus of San Diego State University of Imperial Valley. During this time we have evolved from an institution created to grant elementary teaching

Gallo, Linda C.

82

Imperial Valley Campus San Diego State University  

E-Print Network [OSTI]

2014--2015 IVC 2014--2015 Bulletin Imperial Valley Campus San Diego State University #12;BULLETIN THE IMPERIAL VALLEY CAMPUS 2014-2015 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE CALEXICO, CALIFORNIA 92231 760 clarification. #12;2 SDSU Imperial Valley Campus Bulletin 2014-2015 Message from the Dean It is with great

Gallo, Linda C.

83

IMPERIAL VALLEY SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

BULLETIN THE IMPERIAL VALLEY CAMPUS 2009-2010 SAN DIEGO STATE UNIVERSITY 720 HEBER AVENUE pleasure that we present the 2009-2010 Bulletin of the Imperial Valley Campus of San Diego State University of Imperial Valley. During this time we have evolved from an institution created to grant elementary teaching

Gallo, Linda C.

84

South Parking Garage SAN SALVADOR STREET  

E-Print Network [OSTI]

FOB YUH SPXC SPXE West Parking Garage DH South Parking Garage UPD MQH SH SAN SALVADOR STREET SAN Salvador Street · Once you enter, if you are Disabled, proceed to park in the Disabled parking area Salvador St. · Proceed to the West Garage (4th St.) entrance on right hand side · Once you enter, if you

Su, Xiao

85

Source: University of California -San Diego  

E-Print Network [OSTI]

Source: University of California - San Diego Date: January 8, 2007 More on: , , , , , Brain Injury Brain Tumor Heart Disease Nervous System Neuroscience Psychology Research Bottleneck In Blood Supply Makes Brain Vulnerable To Strokes A team of UC San Diego physicists and neuroscientists has discovered

Kleinfeld, David

86

San Francisco Building Code Amendments to the  

E-Print Network [OSTI]

occupancy types regulated by the San Francisco Building Code, including: A, B, E, F, H, I, L, M, R, S, and U1 2010 San Francisco Building Code Amendments to the 2010 California Green Building Standards Code (Omitting amendments to 2010 California Building Code and 2010 California Residential Code which do

87

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"

88

Alternative Fuels Data Center: San Diego Leads in Promoting EVs  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

89

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...

90

CARLOS FRANCO Nace en Madrid en 1951  

E-Print Network [OSTI]

, Costa Rica. Carlos Franco, Puerto Rico. Carlos Franco, Museo Oscar Niemeyer, Curitiba, Brasil. Carlos Franco, Centro Caixa Económica, Salvador de Bahía, Brasil. Carlos Franco: el telón de la Casa de la asesino. Galería Ovidio, Madrid. 1981 Bienal de Sao Paulo, Brasil. Otras Figuraciones. Caja de Pensiones

91

Scientific committee E. E. Fullerton : University of California, San Diego  

E-Print Network [OSTI]

committee I. Villanueva : University of California San Diego P. Lambert : University of Loraine E. Boyaux

Fainman, Yeshaiahu

92

Federal Energy Management Program: National Park Service - San Miguel  

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

93

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

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

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

94

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":""}]}

95

University of California, San Diego Electrical and  

E-Print Network [OSTI]

University of California, San Diego Electrical and ComputerEngineering Graduate Programs Applied of the sun, the solar wind, and the interaction of the solar wind with various bodies in the solar syst

Fainman, Yeshaiahu

96

Grupo San Isidro | Open Energy Information  

Open Energy Info (EERE)

retailer of building materials and hardware. Involved in the development of solar PV plants. References: Grupo San Isidro1 This article is a stub. You can help OpenEI by...

97

SAN ANTONIO SPURS DEMAND FOR ENERGY EFFICIENCY  

Broader source: Energy.gov [DOE]

As a city that experiences seasonal spikes in energy demand and accompanying energy bills, San Antonio, Texas, wanted to help homeowners and businesses reduce their energy use and save on energy...

98

Anna Wildfong Universidad San Francisco de Quito  

E-Print Network [OSTI]

Anna Wildfong Universidad San Francisco de Quito 2009-2010 academic year 1 Packing Light I spent sinking into a routine. I visited Michigan for about eight days over Christmas vacation. As I waited

99

Fast neutron fluxes in pressure vessels using Monte Carlo methods  

SciTech Connect (OSTI)

The objective of this project is to determine the feasibility of calculating the fast neutron flux in the pressure vessel of a pressurized water reactor by Monte Carlo methods. Neutron reactions reduce the ductility of the steel and thus limit the useful life of this important reactor component. This work was performed for Virginia Power (VEPCO). VIM is a continuous-energy Monte Carlo code which provides a versatile geometrical capability and a neutron physics data base closely representing the EDNF/B-IV data from which it was derived.

Edlund, M.C.; Thomas, J.R.

1986-01-01T23:59:59.000Z

100

Mobilizing Across Borders: The Case of the Laguna San Ignacio Saltworks Project  

E-Print Network [OSTI]

to Laguna San Ignacio ecotourism camp during whale watchto Laguna San Ignacio ecotourism camp during whale watchto Laguna San Ignacio ecotourism camp during whale watch

Spalding, Mark J.

2006-01-01T23:59:59.000Z

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.


101

Supporting the Meeting Report Carlos J. Costaa  

E-Print Network [OSTI]

Supporting the Meeting Report Process Carlos J. Costaa Pedro Antunesb J. Ferreira Diasc carlos market, Electronic Meeting Systems (EMS) have been viewed since the beginning of the 1980's as the Holy

Antunes, Pedro

102

Monte Carlo for the LHC  

E-Print Network [OSTI]

I review the status of the general-purpose Monte Carlo event generators for the LHC, with emphasis on areas of recent physics developments. There has been great progress, especially in multi-jet simulation, but I mention some question marks that have recently arisen.

Michael H. Seymour

2010-08-17T23:59:59.000Z

103

Industrial Waster Conference, WEF. San Antonio. 2003. METALS REMOVAL TECHNOLOGIES FOR STORMWATER  

E-Print Network [OSTI]

Industrial Waster Conference, WEF. San Antonio. 2003. 1 METALS REMOVAL TECHNOLOGIES FOR STORMWATER. Additionally determining the range of metal concentrations of the runoff to be treated is crucial to selecting the best media, since the removal efficiencies of the media relative to each other changed with varying

Pitt, Robert E.

104

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...

Rueda Silva, Carlos Fernando

2012-06-07T23:59:59.000Z

105

Calculating Pi Using the Monte Carlo Method  

Science Journals Connector (OSTI)

During the summer of 2012 I had the opportunity to participate in a research experience for teachers at the center for sustainable energy at Notre Dame University (RET @ cSEND) working with Professor John LoSecco on the problem of using antineutrino detection to accurately determine the fuel makeup and operating power of nuclear reactors. During full power operation a reactor may produce 1021 antineutrinos per second with approximately 100 per day being detected. While becoming familiar with the design and operation of the detectors and how total antineutrino flux could be obtained from such a small sample I read about a simulation program called Monte Carlo. 1 Further investigation led me to the Monte Carlo method page of Wikipedia 2 where I saw an example of approximating pi using this simulation. Other examples where this method was applied were typically done with computer simulations 2 or purely mathematical. 3 It is my belief that this method may be easily related to the students by performing the simple activity of sprinkling rice on an arc drawn in a square. The activity that follows was inspired by those simulations and was used by my AP Physics class last year with very good results.

Timothy Williamson

2013-01-01T23:59:59.000Z

106

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":""}]}

107

Uranium-series isotopes transport in surface, vadose and ground waters at San Marcos uranium bearing basin, Chihuahua, Mexico  

Science Journals Connector (OSTI)

In the U deposit area at San Marcos in Chihuahua, Mexico, hydrogeological and climatic conditions are very similar to the Nopal I, Peña Blanca U deposit, 50 km away. The physicochemical parameters and activity concentrations of several 238U-series isotopes have been determined in surface, vadose and ground waters at San Marcos. The application of some published models to activity ratios of these isotopes has allowed assessing the order of magnitude of transport parameters in the area. Resulting retardation factors in San Marcos area are Rf238 ? 250–14,000 for the unsaturated zone and ?110–1100 for the saturated zone. The results confirm that the mobility of U in San Marcos is also similar to that of the Nopal I U deposit and this area can be considered as a natural analog of areas suitable for geologic repositories of high-level nuclear waste.

Juan Carlos Burillo Montúfar; Manuel Reyes Cortés; Ignacio Alfonso Reyes Cortés; Ma. Socorro Espino Valdez; Octavio Raúl Hinojosa de la Garza; Diana Pamela Nevárez Ronquillo; Eduardo Herrera Peraza; Marusia Rentería Villalobos; María Elena Montero Cabrera

2012-01-01T23:59:59.000Z

108

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":""}]}

109

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":""}]}

110

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":""}]}

111

Clean Cities: San Francisco Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

112

Alternative Fuels Data Center: Students Reduce Vehicle Idling in San  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

113

2009 National Electric Transmission Congestion Study - San Francisco  

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

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

114

Vehicle Technologies Office: Workplace Charging Challenge Partner: San  

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

115

2009 National Electric Transmission Congestion Study - San Francisco  

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

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

116

Mixed Conifer Forests of the San Bernardino Mountains, California  

Science Journals Connector (OSTI)

The San Bernardino Mountains are part of the Transverse Range Province that extends from west to east across parts of Santa Barbara, Ventura, Los Angeles, San Bernardino, and Riverside counties, California (Ba...

P. R. Miller

1992-01-01T23:59:59.000Z

117

California Public Utilities Commission 505 Van Ness Ave., San Francisco  

E-Print Network [OSTI]

1 California Public Utilities Commission 505 Van Ness Ave., San Francisco OFFERS TIPS FOR IDENTIFYING UTILITY WORKERS SAN FRANCISCO, January 24, 2008 ­ The California Public Utilities Commission (CPUC) today reminded consumers of the importance of verifying employment of utility

118

New San Antonio Airport Terminal Generating Clean Power | Department of  

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

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

119

Monte Carlo methods in ICF  

SciTech Connect (OSTI)

Monte Carlo methods appropriate to simulate the transport of x-rays, neutrons, ion and electrons in Inertial Confinement Fusion targets are described and analyzed. The Implicit Monte Carlo method of x-ray transport handles symmetry within indirect drive ICF hohlraums well, but can be improved 50X in efficiency by angular biasing the x-rays towards the fuel capsule. Accurate simulation of thermonuclear burns nd burn diagnostics involves detailed particle source spectra, charged particle ranges, inflight reaction kinematics, corrections for bulk and thermal Doppler effects and variance reduction to obtain adequate statistics for rare events. It is found that the effects of angular Coulomb scattering must be included in models of charged particle transport through heterogeneous materials.

Zimmerman, G.B.

1997-06-24T23:59:59.000Z

120

Parallel Monte Carlo reactor neutronics  

SciTech Connect (OSTI)

The issues affecting implementation of parallel algorithms for large-scale engineering Monte Carlo neutron transport simulations are discussed. For nuclear reactor calculations, these include load balancing, recoding effort, reproducibility, domain decomposition techniques, I/O minimization, and strategies for different parallel architectures. Two codes were parallelized and tested for performance. The architectures employed include SIMD, MIMD-distributed memory, and workstation network with uneven interactive load. Speedups linear with the number of nodes were achieved.

Blomquist, R.N.; Brown, F.B.

1994-03-01T23:59:59.000Z

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.


121

Local Impact, National Influence, Global Reach UC San Diego's  

E-Print Network [OSTI]

, Global Reach Impacting the Economy Overall Impact in San Diego County · Total economic impact of UC SanLocal Impact, National Influence, Global Reach UC San Diego's Economic Impact and Benefits in our Region and State Chancellor Marye Anne Fox #12;Local Impact, National Influence, Global Reach Economic

Russell, Lynn

122

The Davis Botanical Society Presents San Pedro Valley Park  

E-Print Network [OSTI]

The Davis Botanical Society Presents San Pedro Valley Park Saturday, February 22, 2014, 8 am to 6 and Half Moon Bay. San Pedro Valley Park comprises 1,150 acres located on San Pedro Mountain above Pacifica fee of $6.00 per car, and bridge tolls of $5.00 on the Bay Bridge going west and on the Carquinez

California at Davis, University of

123

Dioxins in San Francisco Conceptual Model/Impairment Assessment  

E-Print Network [OSTI]

FINAL Dioxins in San Francisco Bay Conceptual Model/Impairment Assessment Prepared by Mike Connor Partnership November 12, 2004 SFEI Contribution #309 #12;Dioxins in San Francisco Bay: Impairment Assessment. This CM/IA report examines dioxins in San Francisco Bay. Dioxins comprise a group of several hundred

124

San Joaquin Valley Unified Air Pollution Control District  

E-Print Network [OSTI]

#12;San Joaquin Valley Unified Air Pollution Control District Best Available Control Technology.4.2 #12;San Joaquin Valley Air Pollution Control Distri RECEIVED ~ 2 ED ECEIVED www.valleyalr.org SJVAPCD-2370·(661)326-6900"FAX(661)326-6985 #12;San Joaquin Valley Unified Air Pollution Control District TITLE V MODIFICATION

125

Environmental Setting of the San Francisco Estuary  

E-Print Network [OSTI]

area for the entire Estuary: its watershed drains west from the mountains and valleys of the northern and southern arms of the Central Valley of California, re- spectively. The Sacramento and San Joaquin rivers, before their waters flow west another 35 km through Suisun Bay to Carquinez Strait. West and south

126

EMERGENCY PROCEDURES SAN DIEGO STATE UNIVERSITY  

E-Print Network [OSTI]

EMERGENCY PROCEDURES SAN DIEGO STATE UNIVERSITY Imperial Valley (Calexico and Brawley) EMERGENCY PHONE NUMBERS CALEXICO POLICE DEPARTMENT DIAL 9-1-1 FROM ANY PHONE IMPERIAL VALLEY SHERIFF'S DEPARTMENT Imperial Valley Home page at www.ivcampus.sdsu.edu. · SDSU Home page at www.sdsu.edu . · Text message (sign

Ponce, V. Miguel

127

Upper San Juan Basin Biological Assessment  

E-Print Network [OSTI]

the biological assessment. The Colorado Natural Heritage Program began its research by updating its BiologicalUpper San Juan Basin Biological Assessment Colorado State University 8002 Campus Delivery Fort Collins, CO 80523-8002 June 2003 Colorado Natural Heritage Program #12;Southwest Land Alliance Pagosa

128

San Diego, California: Solar in Action (Brochure)  

SciTech Connect (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

129

San Antonio, Texas: Solar in Action (Brochure)  

SciTech Connect (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

130

San Jose, California: Solar in Action (Brochure)  

SciTech Connect (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

131

San Francisco, California: Solar in Action (Brochure)  

SciTech Connect (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

132

PARENT HANDBOOK SAN JOS STATE UNIVERSITY  

E-Print Network [OSTI]

PARENT HANDBOOK SAN JOSÃ? STATE UNIVERSITY CHILD DEVELOPMENT LABORATORY PRESCHOOL This handbook that is not included in this handbook. Philosophy The SJSU Child Development Laboratory Preschool (CDLP) philosophy that is rich in activities, safe in its physical design and implementation, and staffed by knowledgeable

Su, Xiao

133

San Bernardino County - Green Building Incentive | Department of Energy  

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

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

134

City of San Francisco - Commercial Efficiency Rebates | Department of  

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

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

135

San Isabel Electric Association - Residential Energy Efficiency Rebate  

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

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

136

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

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

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

137

APR1400 LBLOCA uncertainty quantification by Monte Carlo method and comparison with Wilks' formula  

SciTech Connect (OSTI)

An analysis of the uncertainty quantification for the PWR LBLOCA by the Monte Carlo calculation has been performed and compared with the tolerance level determined by Wilks' formula. The uncertainty range and distribution of each input parameter associated with the LBLOCA accident were determined by the PIRT results from the BEMUSE project. The Monte-Carlo method shows that the 95. percentile PCT value can be obtained reliably with a 95% confidence level using the Wilks' formula. The extra margin by the Wilks' formula over the true 95. percentile PCT by the Monte-Carlo method was rather large. Even using the 3 rd order formula, the calculated value using the Wilks' formula is nearly 100 K over the true value. It is shown that, with the ever increasing computational capability, the Monte-Carlo method is accessible for the nuclear power plant safety analysis within a realistic time frame. (authors)

Hwang, M.; Bae, S.; Chung, B. D. [Korea Atomic Energy Research Inst., 150 Dukjin-dong, Yuseong-gu, Daejeon (Korea, Republic of)

2012-07-01T23:59:59.000Z

138

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

139

Carlos Hernandez Faham LBNL NERSC@40  

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

Symmetry Magazine NERSC@40 Feb 5, 2014 Carlos Faham 9 "Eager Graduate Students" Davis Cavern, Oct 2011 "Busy Graduate Students" Davis Cavern, Sep 2012 LUX Water Tank - Outside...

140

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":""}]}

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

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":""}]}

142

SWP.SanJuanBasin.factsheet0919  

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

143

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":""}]}

144

Managing Energy in San Antonio Public Buildings  

E-Print Network [OSTI]

,125 electric 885 water 4 steam/CHW ESL-KT-13-12-27 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Public Buildings: By the Numbers 7Se p 2 007 Ma r 2 008 Se p 2 008 Ma r 2 009 Se p 2 009 Ma r 2 010 Se p 2 010 Ma r 2... Energy Consumption Electricity Natural Gas Ele ctr icit y C on sum pti on (k Wh ) Ga s C on sum pti on (C CF ) 7 year low -4% vs. 2012 ESL-KT-13-12-27 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 8 M uni cip...

Gates, P.

2013-01-01T23:59:59.000Z

145

A Monte Carlo algorithm for degenerate plasmas  

Science Journals Connector (OSTI)

A procedure for performing Monte Carlo calculations of plasmas with an arbitrary level of degeneracy is outlined. It has possible applications in inertial confinement fusion and astrophysics. Degenerate particles are initialised according to the Fermi-Dirac ... Keywords: Degenerate plasma, Monte Carlo

A. E. Turrell; M. Sherlock; S. J. Rose

2013-09-01T23:59:59.000Z

146

Monte Carlo Simulation of Isopentane Glass  

Science Journals Connector (OSTI)

...research-article Monte Carlo Simulation of Isopentane Glass S. Yashonath C. N. R. Rao Monte Carlo...quenching the liquid, we have obtained the glass-transition temperature from the temperature...distribution functions suggest a structure of the glass primarily influenced by geometrical factors...

1985-01-01T23:59:59.000Z

147

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

148

ARM - Carlos Sousa Interview (English Version)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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 AÏ‚oriano 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.

149

The MC21 Monte Carlo Transport Code  

SciTech Connect (OSTI)

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

150

Design of a TOF-SANS instrument for the proposed Long Wavelength Target Station at the Spallation Neutron Source.  

SciTech Connect (OSTI)

We have designed a versatile high-throughput SANS instrument [Broad Range Intense Multipurpose SANS (BRIMS)] for the proposed Long Wavelength Target Station at the SNS by using acceptance diagrams and the Los Alamos NISP Monte Carlo simulation package. This instrument has been fully optimized to take advantage of the 10 Hz source frequency (broad wavelength bandwidth) and the cold neutron spectrum from a tall coupled solid methane moderator (12 cm x 20 cm). BRIMS has been designed to produce data in a Q range spanning from 0.001 to 0.7 {angstrom}{sup {minus}1} in a single measurement by simultaneously using neutrons with wavelengths ranging from 1 to 14.5 {angstrom} in a time of flight mode. A supermirror guide and bender assembly is employed to separate and redirect the useful portion of the neutron spectrum with {lambda} > 1 {angstrom}, by 2.3{degree} away from the direct beam containing high energy neutrons and {gamma} rays. The effects of the supermirror coating of the guide, the location of the bender assembly with respect to the source, the bend angle, and various collimation choices on the flux, resolution and Q{sub min} have been characterized using spherical particle and delta function scatterers. The overall performance of BRIMS has been compared with that of the best existing reactor-based SANS instrument D22 at ILL.

Thiyagarajan, P.; Littrell, K.; Seeger, P. A.

2000-11-28T23:59:59.000Z

151

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

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

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

152

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":""}]}

153

Communication and Collaboration Keep San Francisco VA Medical Center  

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

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

154

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

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

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

155

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

156

HILO: Quasi Diffusion Accelerated Monte Carlo on Hybrid Architectures  

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

HILO: Quasi Diffusion Accelerated Monte Carlo on Hybrid Architectures HILO: Quasi Diffusion Accelerated Monte Carlo on Hybrid Architectures The Boltzmann transport equation...

157

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

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

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:

158

Conversion Technology and the San Jose Zero Waste Initiative  

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

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

159

Conservation tillage production systems compared in San Joaquin Valley cotton  

E-Print Network [OSTI]

in San Joaquin Valley cotton by Jeffrey P. Mitchell, Danielfor 25% or more of overall cotton production costs. Thesesuccessfully elsewhere in the Cotton Belt may be a viable

Mitchell, Jeffrey; Munk, Dan; Prys, Bob; Klonsky, Karen; Wroble, Jon; De Moura, Rich

2006-01-01T23:59:59.000Z

160

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...

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

Retrofit Analysis of Older, Single Family Housing in San Antonio  

E-Print Network [OSTI]

Retrofit Analysis of Older, Single Family Housing in San Antonio Hazem Rashed-Ali, PhD, University of Texas at San Antonio CATEE 2013 Clean Air Through Energy Efficiency Conference December 16-18, 2013 San Antonio, TX 12/17/2013 ESL-KT-13... of San Antonio has 28 historic districts, • Potential energy savings from retrofit of older homes are substantial and undisputed. However: • Historic homes need thoughtful attention to the details and features that cause society to give them protected...

Rashed-Ali, H.

2013-01-01T23:59:59.000Z

162

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

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

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

163

San Jose, California, Partners With Established Community Groups...  

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

assistance programs) Most Holy Trinity Catholic Church Quality Conservation Services Sacred Heart Community Service (Weatherization Assistance Program) San Jose State University...

164

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

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

Uranium Leasing Program, Mesa, Montrose, and San Miguel Counties, Colorado March 15, 2013 EIS-0472: DOE Notice of Availability of a Draft Programmatic Environmental Impact...

165

EIS-0416: Ivanpah Solar Electric Generating System in San Bernardino...  

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

Generating System (07-AFC-5) Project, Proposal to Construct a 400-m Megawatt Concentrated Solar Power Tower, Thermal-Electric Power Plant, San Bernardino County, California July 1,...

166

Opening the Door: San Diego R&D Workshop Video  

Broader source: Energy.gov [DOE]

View the video from Jim Brodrick's opening presentation at the February 2011 DOE SSL R&D Workshop in San Diego, California.

167

Sequential Monte Carlo Methods for Protein Folding  

E-Print Network [OSTI]

We describe a class of growth algorithms for finding low energy states of heteropolymers. These polymers form toy models for proteins, and the hope is that similar methods will ultimately be useful for finding native states of real proteins from heuristic or a priori determined force fields. These algorithms share with standard Markov chain Monte Carlo methods that they generate Gibbs-Boltzmann distributions, but they are not based on the strategy that this distribution is obtained as stationary state of a suitably constructed Markov chain. Rather, they are based on growing the polymer by successively adding individual particles, guiding the growth towards configurations with lower energies, and using "population control" to eliminate bad configurations and increase the number of "good ones". This is not done via a breadth-first implementation as in genetic algorithms, but depth-first via recursive backtracking. As seen from various benchmark tests, the resulting algorithms are extremely efficient for lattice models, and are still competitive with other methods for simple off-lattice models.

Peter Grassberger

2004-08-26T23:59:59.000Z

168

QER Public Meeting in San Francisco, CA: The Water-Energy Nexus...  

Energy Savers [EERE]

San Francisco, CA: The Water-Energy Nexus QER Public Meeting in San Francisco, CA: The Water-Energy Nexus Meeting Date and Location June 19, 2014 - 9:00 A.M. PST San Francisco City...

169

QER Public Meeting in San Francisco: The Water-Energy Nexus ...  

Energy Savers [EERE]

QER Public Meeting in San Francisco: The Water-Energy Nexus QER Public Meeting in San Francisco: The Water-Energy Nexus June 19, 2014 1:00PM to 9:00PM PDT San Francisco City Hall...

170

DOE Zero Energy Ready Home Case Study: One Sky Homes, San Jose...  

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

One Sky Homes, San Jose, CA DOE Zero Energy Ready Home Case Study: One Sky Homes, San Jose, CA DOE Zero Energy Ready Home Case Study: One Sky Homes, San Jose, CA Case study of a...

171

Categorical Exclusion Determinations: California | Department of Energy  

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

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

172

Geothermal potential for heating and cooling facilities, San Bernardino Valley College, San Bernardino, California  

SciTech Connect (OSTI)

The potential for converting to geothermal heating at the campus of San Bernardino Valley College is considered. Also considered is the possibility of using well water for water cooled condenser cooling of air conditioning equipment. To provide water supply a production well, water distribution system and an injection well would be installed for each system.

Gemeinhardt, M.A.; Tharaldson, L.C.

1981-07-01T23:59:59.000Z

173

CX-004886: Categorical Exclusion Determination | Department of Energy  

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

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

174

National Park Service- San Miguel Island, California  

Broader source: Energy.gov [DOE]

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 be shipped in from the mainland to generate electricity.

175

E-Print Network 3.0 - annual san francisco Sample Search Results  

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

results for: annual san francisco Page: << < 1 2 3 4 5 > >> 1 Jay A. Davis Page 1 CURRICULUM VITAE Summary: Francisco Estuary Institute, Richmond, CA. San Francisco Estuary...

176

E-Print Network 3.0 - annual conference san Sample Search Results  

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

for: annual conference san Page: << < 1 2 3 4 5 > >> 1 Jay A. Davis Page 1 CURRICULUM VITAE Summary: Francisco Estuary Institute, Richmond, CA. San Francisco Estuary...

177

Lateral Snow Transport, Fire and Changing Treelines in Mount San Gorgonio, California, U.S.A.  

E-Print Network [OSTI]

Ridge (TFR), Charlton Peak (CHP) and San Gorgonio Summit (JST). B. Charlton Peak (CHP). C. Ten Thousand Foot Ridge (JST), Charlton Peak (CHP), San Gorgonio (SGR), and Ten

Burton, Charles Dustin

2012-01-01T23:59:59.000Z

178

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

Open Energy Info (EERE)

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

179

THE BEGINNING of the MONTE CARLO METHOD  

E-Print Network [OSTI]

. For a whole host of 125 #12;Monte Carlo reasons, he had become seriously inter- ested in the thermonuclear a preliminary computational model of a thermonuclear reaction for the ENIAC. He felt he could convince

180

Monte Carlo, Colloids, and Public Health  

Science Journals Connector (OSTI)

Here we see in a snapshot the importance of the Monte Carlo algorithm which is used in recent work to simulate data on women's mortality in a specific health-screening program.

Charles Day

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.


181

Uranium series isotopes concentration in sediments at San Marcos and Luis L. Leon reservoirs, Chihuahua, Mexico  

Science Journals Connector (OSTI)

Spatial and temporal distribution of the radioisotopes concentrations were determined in sediments near the surface and core samples extracted from two reservoirs located in an arid region close to Chihuahua City Mexico. At San Marcos reservoir one core was studied while from Luis L. Leon reservoir one core from the entrance and another one close to the wall were investigated. 232 Th -series 238 U -series 40 K and 137 Cs activity concentrations (AC Bq kg?1) were determined by gamma spectrometry with a high purity Ge detector. 238 U and 234 U ACs were obtained by liquid scintillation and alpha spectrometry with a surface barrier detector. Dating of core sediments was performed applying CRS method to 210 Pb activities. Results were verified by 137 Cs AC. Resulting activity concentrations were compared among corresponding surface and core sediments. High 238 U -series AC values were found in sediments from San Marcos reservoir because this site is located close to the Victorino uranium deposit. Low AC values found in Luis L. Leon reservoir suggest that the uranium present in the source of the Sacramento – Chuviscar Rivers is not transported up to the Conchos River. Activity ratios (AR) 234 U / 238 U and 238 U / 226 Ra in sediments have values between 0.9–1.2 showing a behavior close to radioactive equilibrium in the entire basin. 232 Th / 238 U 228 Ra / 226 Ra ARs are witnesses of the different geological origin of sediments from San Marcos and Luis L. Leon reservoirs.

2014-01-01T23:59:59.000Z

182

Mercury Concentrations in Fish from the San Francisco Bay Area  

E-Print Network [OSTI]

Mercury Concentrations in Fish from the San Francisco Bay Area San Francisco Bay Regional Water on composite samples · Some mercury analysis on individual largemouth bass · Size targets #12;Tomales Bay Study chemical analyses (Hg and organics) conducted on composite samples · Some mercury analysis on individual

183

Water Pollution Control Plant Solar Site Evaluation: San José  

Broader source: Energy.gov [DOE]

This report describes the findings of a solar site evaluation conducted at the San Jose/Santa Clara Water Pollution Control Plant (Site) in the City of San Jose, California (City). This evaluation was conducted as part of a larger study to assess solar potential at multiple public facilities within the City.

184

Uranium minerals from the San Marcos District, Chihuahua, Mexico  

Science Journals Connector (OSTI)

The mineralogy of the two uranium deposits (Victorino and San Marcos I) of Sierra San Marcos, located 30 km northwest of Chihuahua City, Mexico, was studied by optical...2)2Si2O7·6(H2O) (the dominant mineral at b...

Manuel Reyes-Cortés; Luis Fuentes-Cobas; Enrique Torres-Moye…

2010-05-01T23:59:59.000Z

185

SEDIMENT IN ARROYO PASAJERO AND SAN LUIS CANAL  

E-Print Network [OSTI]

SEDIMENT IN ARROYO PASAJERO AND SAN LUIS CANAL PREPARED FOR: US BUREAU OF RECLAMATION DENVER as floodwaters breached the San Luis Canal levee and filled the sediment basins with a mixture of water, sediment alternatives, the sediment basins would be enlarged. This study focuses on sedimentation in the West Side

Julien, Pierre Y.

186

Environmental Innovation Center Solar Site Evaluation: San José  

Broader source: Energy.gov [DOE]

This report describes the findings of a solar photovoltaic (PV) site evaluation conducted at the San Jose Environmental Innovation Center (EIC) in the City of San Jose, California. This evaluation was conducted as part of a larger study to assess solar potential at multiple public facilities within the City.

187

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":""}]}

188

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

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

189

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

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

190

Clean Cities: San Diego Regional Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

191

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

192

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":""}]}

193

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

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

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

194

San Antonio's City Lights program | Department of Energy  

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

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

195

San Miguel Power Association - Renewable Energy Rebate Program | Department  

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

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

196

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

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

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

197

City of San Diego - Sustainable Building Expedited Permit Program |  

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

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

198

San Diego Area San Diego was founded in 1769 as the first of 21 California missions. It is  

E-Print Network [OSTI]

industries in the county are Defense, Manufacturing (high technology, electronics), and Tourism. San Diego is the site of one of the largest naval fleets in the world. In addition, San Diego's economy focuses, electronics manufacturing, defense-related manufacturing, financial and business services, ship

Squire, Larry R.

199

Beneficial Reuse of San Ardo Produced Water  

SciTech Connect (OSTI)

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

200

Monte Carlo Electromagnetic Cross Section Production Method for Low Energy Charged Particle Transport Through Single Molecules  

E-Print Network [OSTI]

to the many-body Schrödinger equation and proceeds to use Monte Carlo methods to calculate the perturbations in the internal electron field to determine the aforementioned processes. Results are computed for molecular water in the form of linear energy loss...

Madsen, Jonathan R

2013-08-13T23:59:59.000Z

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.


201

Monte Carlo Characterization of a Pulsed Laser-Wakefield Driven Monochromatic  

E-Print Network [OSTI]

Monte Carlo Characterization of a Pulsed Laser-Wakefield Driven Monochromatic X-Ray Source S. D determination of the incident X-ray energy by using unfolding techniques. I. INTRODUCTION HE Diocles laser light from the same laser system, producing monochromatic X-rays with energy and spectral width

Umstadter, Donald

202

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

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

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.

203

San Bernardino County - Green Building Requirement | Department of Energy  

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

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

204

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

205

San Joaquin Final EA December 2011--Main Volume  

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

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

206

The Structure of Sindbis Virus Produced from Vertebrate and Invertebrate Hosts as Determined by Small-Angle Neutron Scattering  

Science Journals Connector (OSTI)

...Determined by Small-Angle Neutron Scattering Published ahead of print on...Raleigh, North Carolina 27695 3 Neutron Scattering Sciences Division, Oak Ridge...determined by small-angle neutron scattering (SANS), a nondestructive...

Lilin He; Amanda Piper; Flora Meilleur; Dean A. A. Myles; Raquel Hernandez; Dennis T. Brown; William T. Heller

2010-03-10T23:59:59.000Z

207

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":""}]}

208

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

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

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

209

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

210

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

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

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

211

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":""}]}

212

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

213

ENERGY STAR Success Story San Diego Convention Center  

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

214

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

215

GE Global Research in San Ramon, California | GE Global Research  

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

and the world. Visit the Careers page to search and apply for Global Research jobs in San Ramon. We also welcome robust participation in our work from a range of science...

216

FinancialStatements2009/2010 San Diego State University  

E-Print Network [OSTI]

,280 852 3,132 Imperial Valley Campus 769 234 1,003 Professional Studies & Fine Arts 6,828 570 7 were concurrently enrolled at the San Diego main campus and the Imperial Valley campus. #12

Ponce, V. Miguel

217

Volcanism in the western San Juan Mountains, Colorado  

Science Journals Connector (OSTI)

Three major cycles of volcanism during the Miocene and Pliocene formed a layered succession of calc-alkaline eruptive materials in the western San Juan Mountains nearly 1.5 miles thick and having a volume grea...

R. G. Luedke; W. S. Burbank

1966-01-01T23:59:59.000Z

218

UNIVERSITY OF CALIFORNIA, SAN DIEGO Hardware Optimizations Enabled by a  

E-Print Network [OSTI]

for publication on micro- lm: Chair University of California, San Diego 2001 iii #12;Dedications I dedicate and abuse. Thanks to both you and Sule for BBQs, biking, blading, and hiking. It is rare to nd someone so

Sair, Suleyman

219

Sediment Toxicity Identification Evaluations San Francisco Bay Regional Monitoring  

E-Print Network [OSTI]

Sediment Toxicity Identification Evaluations San Francisco Bay Regional Monitoring Program chemicals of concern that may impact the estuary's ecosystem. Toxicity Identification Evaluation (TIE identified weak associations between mortality and bulk-phase chlordane and silver concentrations at Redwood

220

Texas: City of San Antonio Demonstrates Value of Greater Investments...  

Energy Savers [EERE]

to align and build on the goals and objectives of San Antonio's Mission Verde Sustainability Plan-Building a 21st Century Economy. Adopted by the City Council in February...

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.


221

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

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

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

222

San Diego County - Solar Regulations | Department of Energy  

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

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

223

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

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

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

224

Copyright0 1988by San FranciscoPress,Inc., BOX6800, San Franc&o, CA 94101&fM, USA Laser Microprobe Mass Spectrometry  

E-Print Network [OSTI]

Copyright0 1988by San FranciscoPress,Inc., BOX6800, San Franc&o, CA 94101&fM, USA 10 Laser. Bennett, W. Lauwers, A. Vertes, and R. Gijbels Laser microprobe mass spectrometry (LMMS)em- ploys

Vertes, Akos

225

A midway forward-adjoint coupling method for neutron and photon Monte Carlo transport  

SciTech Connect (OSTI)

The midway Monte Carlo method for calculating detector responses combines a forward and an adjoint Monte Carlo calculation. In both calculations, particle scores are registered at a surface to be chosen by the user somewhere between the source and detector domains. The theory of the midway response determination is developed within the framework of transport theory for external sources and for criticality theory. The theory is also developed for photons, which are generated at inelastic scattering or capture of neutrons. In either the forward or the adjoint calculation a so-called black absorber technique can be applied; i.e., particles need not be followed after passing the midway surface. The midway Monte Carlo method is implemented in the general-purpose MCNP Monte Carlo code. The midway Monte Carlo method is demonstrated to be very efficient in problems with deep penetration, small source and detector domains, and complicated streaming paths. All the problems considered pose difficult variance reduction challenges. Calculations were performed using existing variance reduction methods of normal MCNP runs and using the midway method. The performed comparative analyses show that the midway method appears to be much more efficient than the standard techniques in an overwhelming majority of cases and can be recommended for use in many difficult variance reduction problems of neutral particle transport.

Serov, I.V.; John, T.M.; Hoogenboom, J.E. [Delft Univ. of Technology (Netherlands). Interfaculty Reactor Inst.

1999-09-01T23:59:59.000Z

226

Meeting Energy Reduction Requirements at Joint Base San Antonio  

E-Print Network [OSTI]

• Joint Information Operations Warfare Center • 37th Training Wing • National Security Agency / Central Security Service • Cryptologic Systems Division • 59 additional units 7 ESL-KT-13-12-25 CATEE 2013: Clean Air Through Energy Efficiency Conference, San...One Team, One Mission: Your Success! The Premier Joint Base in the Department of Defense! Joint Base San Antonio and Energy Program 18 December 2013 Bruce Dschuden, Frank Thomas JBSA Resource Efficiency Managers ESL-KT-13-12-25 CATEE 2013...

Dschuden, B.; Thomas, F.

2013-01-01T23:59:59.000Z

227

Holistic Housing-Lewis Chatham Community, San Antonio  

E-Print Network [OSTI]

? Adopted International Energy Conservation Code (IECC) 2009 ? COSA?s goal to be net-zero by 2030 ? Rebates and incentives provided to owners and developers for building above code ? Incentives through partnership with CPS Energy, San Antonio Water... ? Adopted International Energy Conservation Code (IECC) 2009 ? COSA?s goal to be net-zero by 2030 ? Rebates and incentives provided to owners and developers for building above code ? Incentives through partnership with CPS Energy, San Antonio Water...

Beth, Keel

2011-01-01T23:59:59.000Z

228

Monte Carlo event reconstruction implemented with artificial neural networks  

E-Print Network [OSTI]

I implemented event reconstruction of a Monte Carlo simulation using neural networks. The OLYMPUS Collaboration is using a Monte Carlo simulation of the OLYMPUS particle detector to evaluate systematics and reconstruct ...

Tolley, Emma Elizabeth

2011-01-01T23:59:59.000Z

229

Abundance and diversity of tidal marsh plants along the salinity gradient of the San Francisco Estuary: implications for global change ecology  

E-Print Network [OSTI]

plants along the salinity gradient of the San Franciscotransects along the salinity gradient of the San Franciscoacross the full salinity gradient of the San Francisco

Watson, Elizabeth Burke; Byrne, Roger

2009-01-01T23:59:59.000Z

230

Brain dynamics promotes function Carlos Lourenco  

E-Print Network [OSTI]

Brain dynamics promotes function Carlos Louren¸co 1 Faculty of Sciences of the University of Lisbon, 1049-001 Lisboa - Portugal Abstract. Dynamical structure in the brain promotes biological func- tion. Computational scientists have new opportunities to receive 'algorithmic' inspiration from brain processes

Lisboa, Universidade Técnica de

231

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

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

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.

232

Module 2: Monte Carlo Methods Prof. Mike Giles  

E-Print Network [OSTI]

, Bermudan options, optimal trading given transaction costs) MC Lecture 1 ­ p. 7 #12;Monte Carlo vs. finite 1 ­ p. 5 #12;Monte Carlo vs. finite differences Hard to get reliable figures, but my "guesstimate most heavily? . . . and will it stay that way in the future? MC Lecture 1 ­ p. 6 #12;Monte Carlo vs

Giles, Mike

233

John von Neumann Institute for Computing Monte Carlo Protein Folding  

E-Print Network [OSTI]

John von Neumann Institute for Computing Monte Carlo Protein Folding: Simulations of Met://www.fz-juelich.de/nic-series/volume20 #12;#12;Monte Carlo Protein Folding: Simulations of Met-Enkephalin with Solvent-Accessible Area difficulties in applying Monte Carlo methods to protein folding. The solvent-accessible area method, a popular

Hsu, Hsiao-Ping

234

CX-003251: Categorical Exclusion Determination | Department of Energy  

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

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

235

CX-004013: Categorical Exclusion Determination | Department of Energy  

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

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

236

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

237

Environmental Evaluation for Installation of Solar Arrays at San Jose/Santa Clara Water Pollution Control Plant  

Broader source: Energy.gov [DOE]

The purpose of this technical memorandum (TM) is to review the options to develop a potential solar array development (Project) within or adjacent to western burrowing owl (Athene cunicularia) habitat in the buffer lands that surround the San José/Santa Clara Water Pollution Control Plant (WPCP) and to determine if there is a ground-mounted solar photovoltaic (PV) configuration that would enable a workable co-existence between the burrowing owl habitat and the PV arrays.

238

CX-000220: Categorical Exclusion Determination | Department of Energy  

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

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

239

Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation  

E-Print Network [OSTI]

Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Aljoscha Rheinwalt 14. Januar 2009 Betreuender Professor: Prof. M. M¨uller-Preu�ker #12;Das Ising-Modell und Monte-Carlo-Simulation Gliederung Gliederung Ising-Modell Definition Anwendungen Numerische Analyse Statistische Beschreibung Monte

240

Categorical Exclusion Determinations: California | Department of Energy  

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

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

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

Fluoride Vol. 30 No.1 33-40 1997. Research Report 33 ENDEMIC FLUOROSIS IN SAN LUIS POTOSI, MEXICO  

E-Print Network [OSTI]

, Mexico. b Facultad de Ingenieria, Universidad AutOnoma de San Luis Potosi. Facultad de Estomatologia, Universidad Aut6noma de San Luis Potosi. d Facultad de Ciencias Quimicas, Universidad AutOnoma de San Luis

Short, Daniel

242

Asymptotic Scaling and Monte Carlo Data  

E-Print Network [OSTI]

It is a generally known problem that the behaviour predicted from perturbation theory for asymptotically free theories like QCD, i.e. asymptotic scaling, has not been observed in Monte Carlo simulations when the series is expressed in terms of the bare coupling g_0. This discrepancy has been explained in the past with the poor convergence properties of the perturbative series in the g_0. An alternative point of view, called Lattice-Distorted Perturbation Theory proposes that lattice artifacts due to the finiteness of the lattice spacing, a, cause the disagreement between Monte Carlo data and perturbative scaling. Following this alternative scenario, we fit recent quenched data from different observables to fitting functions that include these cut-off effects, confirming that the lattice data are well reproduced by g_0-PT with the simple addition of terms O(a^n).

A. Trivini; C. R. Allton

2005-11-02T23:59:59.000Z

243

Overview of Monte Carlo radiation transport codes  

SciTech Connect (OSTI)

The Radiation Safety Information Computational Center (RSICC) is the designated central repository of the United States Department of Energy (DOE) for nuclear software in radiation transport, safety, and shielding. Since the center was established in the early 60's, there have been several Monte Carlo particle transport (MC) computer codes contributed by scientists from various countries. An overview of the neutron transport computer codes in the RSICC collection is presented.

Kirk, Bernadette Lugue [ORNL] [ORNL

2010-01-01T23:59:59.000Z

244

New Monte Carlo Algorithm for Protein Folding  

Science Journals Connector (OSTI)

We demonstrate that the recently introduced pruned-enriched Rosenbluth method leads to extremely efficient algorithms for the folding of simple model proteins. We test them on several models for lattice heteropolymers, and compare the results to published Monte Carlo studies. In all cases our algorithms are faster than previous ones, and in several cases we find new minimal energy states. In addition, our algorithms give estimates for the partition sum at finite temperatures.

Helge Frauenkron; Ugo Bastolla; Erwin Gerstner; Peter Grassberger; Walter Nadler

1998-04-06T23:59:59.000Z

245

Monte Carlo event generators at nonleading order  

Science Journals Connector (OSTI)

A method to construct Monte Carlo event generators at arbitrarily nonleading order is explained for the case of a nongauge theory. A precise and correct treatment of parton kinematics is provided. Modifications of the conventional formalism are required: parton showering is not exactly the same as Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution, and the external line prescription for the hard scattering differs from the Lehmann-Symanzik-Zimmermann prescription. The prospects for extending the results to QCD are discussed.

John Collins

2002-05-06T23:59:59.000Z

246

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":""}]}

247

CX-000632: Categorical Exclusion Determination | Department of Energy  

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

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

248

Categorical Exclusion Determinations: B5.1 | Department of Energy  

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

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

249

CX-000627: Categorical Exclusion Determination | Department of Energy  

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

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

250

CX-006268: Categorical Exclusion Determination | Department of Energy  

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

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

251

CX-001625: Categorical Exclusion Determination | Department of Energy  

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

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

252

CX-006102: Categorical Exclusion Determination | Department of Energy  

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

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)

253

CX-001523: Categorical Exclusion Determination | Department of Energy  

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

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

254

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]

255

Clean Cities: San Joaquin Valley Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

256

San Diego County - Green Building Program | Department of Energy  

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

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

257

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

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

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

258

City of San Diego RFP for Power Purchase (PV)  

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

259

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

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

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

260

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

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

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":""}]}

262

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

263

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":[]}

264

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

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

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)

265

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

266

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

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

267

EA-1840: California Valley Solar Ranch Project in San Luis Obispo...  

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

0: California Valley Solar Ranch Project in San Luis Obispo County, CA EA-1840: California Valley Solar Ranch Project in San Luis Obispo County, CA August 3, 2011 EA-1840: Final...

268

SHIFTING PERCEPTIONS OF SACRED SPACES: CEREMONIAL REUSE OF MAYA ARCHITECTURE AND MONUMENTS AT SAN BARTOLO, GUATEMALA  

E-Print Network [OSTI]

The ancient Maya site of San Bartolo experienced a decidedly turbulent history that is characterized by several phases of occupation and abandonment. This research illustrates how the San Bartolo community reacted, responded, ...

Craig, Jessica H.

2010-04-27T23:59:59.000Z

269

E-Print Network 3.0 - annual meeting san Sample Search Results  

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

results for: annual meeting san Page: << < 1 2 3 4 5 > >> 1 Jay A. Davis Page 1 CURRICULUM VITAE Summary: of PCBs in San Francisco Bay. Presented at the SETAC Annual Meeting,...

270

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

271

EIS-0458: First Solar Topaz Solar Farm Project in San Luis Obispo...  

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

8: First Solar Topaz Solar Farm Project in San Luis Obispo County, CA EIS-0458: First Solar Topaz Solar Farm Project in San Luis Obispo County, CA Documents Available for Download...

272

The effects of mapping CT images to Monte Carlo materials on GEANT4 proton simulation accuracy  

SciTech Connect (OSTI)

Purpose: Monte Carlo simulations of radiation therapy require conversion from Hounsfield units (HU) in CT images to an exact tissue composition and density. The number of discrete densities (or density bins) used in this mapping affects the simulation accuracy, execution time, and memory usage in GEANT4 and other Monte Carlo code. The relationship between the number of density bins and CT noise was examined in general for all simulations that use HU conversion to density. Additionally, the effect of this on simulation accuracy was examined for proton radiation. Methods: Relative uncertainty from CT noise was compared with uncertainty from density binning to determine an upper limit on the number of density bins required in the presence of CT noise. Error propagation analysis was also performed on continuously slowing down approximation range calculations to determine the proton range uncertainty caused by density binning. These results were verified with Monte Carlo simulations. Results: In the presence of even modest CT noise (5 HU or 0.5%) 450 density bins were found to only cause a 5% increase in the density uncertainty (i.e., 95% of density uncertainty from CT noise, 5% from binning). Larger numbers of density bins are not required as CT noise will prevent increased density accuracy; this applies across all types of Monte Carlo simulations. Examining uncertainty in proton range, only 127 density bins are required for a proton range error of <0.1 mm in most tissue and <0.5 mm in low density tissue (e.g., lung). Conclusions: By considering CT noise and actual range uncertainty, the number of required density bins can be restricted to a very modest 127 depending on the application. Reducing the number of density bins provides large memory and execution time savings in GEANT4 and other Monte Carlo packages.

Barnes, Samuel; McAuley, Grant; Slater, James [Department of Radiation Medicine, Loma Linda University, Loma Linda, California 92350 (United States); Wroe, Andrew [Department of Radiation Medicine, Loma Linda University Medical Center, Loma Linda, California 92350 (United States)

2013-04-15T23:59:59.000Z

273

Categorical Exclusion Determinations: California | Department of Energy  

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

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

274

Categorical Exclusion Determinations: American Recovery and Reinvestment  

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

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

275

Estuarine Vegetation at Rush Ranch Open Space Preserve, San Franciso Bay National Estuarine Research Reserve, California  

E-Print Network [OSTI]

plants along the salinity gradient of the San Franciscohabitats within local salinity gradients of Suisun Marsh, or

Whitcraft, Christine R.; Grewell, Brenda J.; Baye, Peter R.

2011-01-01T23:59:59.000Z

276

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

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

277

Deploying applications in multi-SAN SMP clusters  

Science Journals Connector (OSTI)

The effective exploitation of multi-SAN SMP clusters and the use of generic clusters to support complex information systems require new approaches; multi-SAN SMP clusters introduce new levels of parallelism and traditional environments are mainly used to run scientific computations. In this paper we present a novel approach to the exploitation of clusters that allows integrating in a unique metaphor: the representation of physical resources, the modelling of applications and the mapping of application into physical resources. The proposed abstractions favoured the development of an API that allows combining and benefiting from the shared memory, message passing and global memory paradigms.

Albano Alves; Antonio Pina; Jose Exposto; Jose Rufino

2009-01-01T23:59:59.000Z

278

Application for Locally Adopted Energy Standards by the Town of San Anselmo in Accordance With  

E-Print Network [OSTI]

of energy cost-effectiveness based on the Marin County Green Building Ordinance Energy CostApplication for Locally Adopted Energy Standards by the Town of San Anselmo in Accordance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 #12;1.0 Executive Summary for the Town of San Anselmo Green Building Ordinance The Town of San

279

The San Francisco/Oakland Bay Bridge Will be Partially Closed Presidents' Day Weekend 2012  

E-Print Network [OSTI]

/or alternate bridges: Golden Gate, Richmond-San Rafael, San Mateo-Hayward, Dumbarton BART (BAY AREA RAPIDThe San Francisco/Oakland Bay Bridge Will be Partially Closed Presidents' Day Weekend 2012 In order to complete an essential step in the construction of the new Bay Bridge, the WESTBOUND DECK of the Bay Bridge

Hellerstein, Joseph M.

280

Categorical Exclusion Determination Form  

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

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

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

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

282

A Monte Carlo algorithm for degenerate plasmas  

SciTech Connect (OSTI)

A procedure for performing Monte Carlo calculations of plasmas with an arbitrary level of degeneracy is outlined. It has possible applications in inertial confinement fusion and astrophysics. Degenerate particles are initialised according to the Fermi–Dirac distribution function, and scattering is via a Pauli blocked binary collision approximation. The algorithm is tested against degenerate electron–ion equilibration, and the degenerate resistivity transport coefficient from unmagnetised first order transport theory. The code is applied to the cold fuel shell and alpha particle equilibration problem of inertial confinement fusion.

Turrell, A.E., E-mail: a.turrell09@imperial.ac.uk; Sherlock, M.; Rose, S.J.

2013-09-15T23:59:59.000Z

283

Hybrid Monte Carlo and topological modes of full QCD  

E-Print Network [OSTI]

We investigate the performance of the hybrid Monte Carlo algorithm, the standard algorithm used for lattice QCD simulations involving fermions, in updating non-trivial global topological structures. We find that the hybrid Monte Carlo algorithm has serious problems decorrelating the global topological charge at the values of $\\beta$ and $m$ currently simulated, where continuum physics should be approximately realized. This represents a warning which must be seriously considered when simulating full QCD by hybrid Monte Carlo.

B. Allés; G. Boyd; M. D'Elia; A. Di Giacomo; E. Vicari

1996-07-22T23:59:59.000Z

284

Monte Carlo Simulations of the Corrosion of Aluminoborosilicate...  

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

Simulations of the Corrosion of Aluminoborosilicate Glasses. Monte Carlo Simulations of the Corrosion of Aluminoborosilicate Glasses. Abstract: Aluminum is one of the most common...

285

Posters Monte Carlo Simulation of Longwave Fluxes Through Broken...  

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

5 Posters Monte Carlo Simulation of Longwave Fluxes Through Broken Scattering Cloud Fields E. E. Takara and R. G. Ellingson University of Maryland College Park, Maryland To...

286

Binding and Diffusion of Lithium in Graphite: Quantum Monte Carlo...  

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

Binding and Diffusion of Lithium in Graphite: Quantum Monte Carlo Benchmarks and Validation of van der Waals Density Functional Methods P. Ganesh,* , Jeongnim Kim, Changwon...

287

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":""}]}

288

Regional Data in Partnership with the San Francisco Exploratorium |  

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

289

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.'

290

STAFF POSITION DESCRIPTION SAN JOSE STA TE HUMAN RESOURCES  

E-Print Network [OSTI]

STAFF POSITION DESCRIPTION SAN JOSE STA TE HUMAN RESOURCES UNIVERSITY Workforce Planning l: 408-924-2250 I408-924-1784 (fax) Job Description Staff Date: Workforce Planning, Human Resources (Name [Workforce Planning reviews the CSU classification standards with essential duties of the positions] F

Su, Xiao

291

Cultural Benefits from Metropolitan River Recreation -- San Antonio Prototype  

E-Print Network [OSTI]

This study analyzes the response to an outstanding design and development of a park-business complex along a natural river in the heart of a major city, The San Antonio River Walk. The research includes both those who visit and those who control...

Gunn, C. A.; Reed, D. J.; Couch, R. E.

292

EIS-0395: San Luis Rio Colorado Project, AZ  

Broader source: Energy.gov [DOE]

This EIS analyzes DOE's decision to construct and operate a proposed transmission line originating at the proposed San Luis Rio Colorado (SLRC) Power Center in Sonora, Mexico, interconnect with Western's existing Gila Substation, and continue to Arizona Public Service Company’s (APS) North Gila Substation

293

U.S. Navy- San Clemente Island, California  

Broader source: Energy.gov [DOE]

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.

294

then UC is for you! UC San Diego  

E-Print Network [OSTI]

UC Santa Cruz UC Santa Barbara UCLA UC Irvine UC Davis Eureka Redwood National Park Lassen Volcanic Francisco MILES KM UC Davis 71 114 UC Berkeley 12 19 UC Merced 135 217 UC Santa Cruz 74 119 UC Santa Barbara of California with new technology, innovative approaches and energy-saving sustainable practices. UC SAN DIEg

California at Santa Cruz, University of

295

SANS -Small Angle Neutron Scattering Tcnica de difrao  

E-Print Network [OSTI]

SANS - Small Angle Neutron Scattering Técnica de difração informações sobre tamanho e forma de- Neutrons are created in the centre of the target station when the beam of high energy protons collides by evaporating nuclear particles, mainly neutrons, in all directions. Each proton produces approximately 15

Loh, Watson

296

San Francisco State University College of Science & Engineering  

E-Print Network [OSTI]

APPLICATION TWO $1,000 scholarships for Computer Science or Mathematics Undergraduates for Fall of 2013 (one of the scholarship upon my financial aid. By signing this form, I grant the San Francisco State University (SFSU a declared major in the SFSU Department of Computer Science or Mathematics. 2. Student must be enrolled

297

Gille-STPA 35 1 Sewage on San Diego Beaches  

E-Print Network [OSTI]

outflow pipe? (3) When plans were first made to address the heavy metals in Tijuana pollution on where sewage ends up? (2) One big issue for understanding sewage treatment has to do with heavy metals't dioxin or heavy metal a problem when Tijuana sewage is mixed with San Diego sewage in the Point Loma

Gille, Sarah T.

298

Story Road Landfill Solar Site Evaluation: San Jose  

Broader source: Energy.gov [DOE]

This report describes the findings of a solar site evaluation conducted at the Story Road Landfill (Site) in the City of San Jose, California (City). This evaluation was conducted as part of a larger study to assess solar potential at multiple public facilities within the City.

299

Discrete Green's functions University of California, San Diego  

E-Print Network [OSTI]

Discrete Green's functions Fan Chung University of California, San Diego La Jolla, CA 92093-0112 S study discrete Green's functions and their relationship with discrete Laplace equations. Several methods for deriving Green's functions are discussed. Green's functions can be used to deal with diffusion

Graham, Fan Chung

300

Re-Positioning Information Science Fidelia Ibekwe-SanJuan  

E-Print Network [OSTI]

Re-Positioning Information Science Fidelia Ibekwe-SanJuan ELICO - University of Lyon 3, Lyon, to move from librarianship, bibliography, and documentation to an information science. In 1968 the American Documentation Institute was renamed American Society for Information Science. By the twenty

Boyer, Edmond

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.


301

RESEARCH BRIEF The Impact of San Francisco's Employer  

E-Print Network [OSTI]

healthcare legislation with a goal of attaining uni- versal access to health care for the city's residents to coordinate health care delivery in clinics and hospitals in the city through "Healthy San Francisco Francisco implemented a version of a "pay-or-play" employer mandate to finance health care

Kammen, Daniel M.

302

Fracture surface energy of the Punchbowl fault, San Andreas system  

E-Print Network [OSTI]

Fracture surface energy of the Punchbowl fault, San Andreas system Judith S. Chester1 , Frederick M. Chester1 & Andreas K. Kronenberg1 Fracture energy is a form of latent heat required to create weakening1­3 . Fracture energy has been estimated from seismological and experimental rock deformation data4

Chester, Frederick M.

303

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

Gasoline and Diesel Fuel Update (EIA)

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...

304

San Francisco Mayor's Solar Founders' Circle Workshop for Assessors  

Broader source: Energy.gov [DOE]

These slides were developed to train site assessors for the City and County of San Francisco. The presentation includes information on how to perform a site assessment for PV and SWH technologies, how to size a system, roof and electrical safety, and tools to use on a site assessment.

305

Sediment Transport in the Lower Guadalupe and San Antonio Rivers  

E-Print Network [OSTI]

collected; Very limited data indicated that the bedload transport rates are much smaller than the suspended load transport rates. The two largest sets of data were collected on the Guadalupe River at Victoria in April 1990 and on the San Antonio River...

Holley, Edward R.

306

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

307

September 1, 2001 / Vol. 26, No. 17 / OPTICS LETTERS 1335 Perturbation Monte Carlo methods to solve inverse photon  

E-Print Network [OSTI]

September 1, 2001 / Vol. 26, No. 17 / OPTICS LETTERS 1335 Perturbation Monte Carlo methods to solve with respect to perturbations in background tissue optical properties. We then feed this derivative information to a nonlinear optimization algorithm to determine the optical properties of the tissue heterogeneity under

Boas, David

308

THE MCNPX MONTE CARLO RADIATION TRANSPORT CODE  

SciTech Connect (OSTI)

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

309

Quantum Monte Carlo methods for nuclear physics  

E-Print Network [OSTI]

Quantum Monte Carlo methods have proved very valuable to study the structure and reactions of light nuclei and nucleonic matter starting from realistic nuclear interactions and currents. These ab-initio calculations reproduce many low-lying states and transition moments in light nuclei, and simultaneously predict many properties of light nuclei and neutron matter over a rather wide range of energy and momenta. We review the nuclear interactions and currents, and describe the continuum Quantum Monte Carlo methods used in nuclear physics. These methods are similar to those used in condensed matter and electronic structure but naturally include spin-isospin, tensor, spin-orbit, and three-body interactions. We present a variety of results including the low-lying spectra of light nuclei, nuclear form factors, and transition matrix elements. We also describe low-energy scattering techniques, studies of the electroweak response of nuclei relevant in electron and neutrino scattering, and the properties of dense nucleonic matter as found in neutron stars. A coherent picture of nuclear structure and dynamics emerges based upon rather simple but realistic interactions and currents.

J. Carlson; S. Gandolfi; F. Pederiva; Steven C. Pieper; R. Schiavilla; K. E. Schmidt; R. B. Wiringa

2014-12-09T23:59:59.000Z

310

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":""}]}

311

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

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

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

312

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

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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

313

UNIVERSITY OF CALIFORNIA, BERKELEY BERKELEY DAVIS IRVINE LOS ANGELES RIVERSIDE SAN DIEGO SAN FRANCISCO SANTA BARBARA SANTA CRUZ  

E-Print Network [OSTI]

Efficiency for San Francisco Under the guidance of Supervisor Tom Ammiano and the city's Public Utilities efficiency and environmental protection can be achieved together. As a homeowner with a solar array on my sound benefits of solar energy in California. At a time of federal inaction on energy security

Kammen, Daniel M.

314

Spatial homogenization of thermal feedback regions in Monte Carlo reactor calculations  

SciTech Connect (OSTI)

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

315

A survey of Monte Carlo methods Jonathan Weare  

E-Print Network [OSTI]

A survey of Monte Carlo methods Jonathan Weare University of Chicago April 5, 2011 Jonathan Weare?) problems are high dimensional so we need MC. Jonathan Weare A survey of Monte Carlo methods #12;Some high in the initial conditions for an evolutionary PDE propagate? and many more · · · Jonathan Weare A survey of Monte

Anisimov, Mikhail

316

RADIATIVE HEAT TRANSFER WITH QUASI-MONTE CARLO METHODS  

E-Print Network [OSTI]

RADIATIVE HEAT TRANSFER WITH QUASI-MONTE CARLO METHODS A. Kersch1 W. Moroko2 A. Schuster1 1Siemens of Quasi-Monte Carlo to this problem. 1.1 Radiative Heat Transfer Reactors In the manufacturing of the problems which can be solved by such a simulation is high accuracy modeling of the radiative heat transfer

317

RADIATIVE HEAT TRANSFER WITH QUASIMONTE CARLO METHODS \\Lambda  

E-Print Network [OSTI]

RADIATIVE HEAT TRANSFER WITH QUASI­MONTE CARLO METHODS \\Lambda A. Kersch 1 W. Morokoff 2 A accuracy modeling of the radiative heat transfer from the heater to the wafer. Figure 1 shows the draft Carlo simulation is often used to solve radiative transfer problems where complex physical phenomena

318

Sequential Monte Carlo EM for multivariate probit models  

Science Journals Connector (OSTI)

Multivariate probit models have the appealing feature of capturing some of the dependence structure between the components of multidimensional binary responses. The key for the dependence modelling is the covariance matrix of an underlying latent multivariate ... Keywords: Adaptive sequential Monte Carlo, Maximum likelihood, Monte Carlo EM, Multivariate probit

Giusi Moffa; Jack Kuipers

2014-04-01T23:59:59.000Z

319

CERN-TH.6275/91 Monte Carlo Event Generation  

E-Print Network [OSTI]

CERN-TH.6275/91 Monte Carlo Event Generation for LHC T. Sj¨ostrand CERN -- Geneva Abstract The necessity of event generators for LHC physics studies is illustrated, and the Monte Carlo approach is outlined. A survey is presented of existing event generators, followed by a more detailed study

Sjöstrand, Torbjörn

320

A new effective Monte Carlo Midway coupling method in MCNP applied to a well logging problem  

Science Journals Connector (OSTI)

The background of the Midway forward–adjoint coupling method including the black absorber technique for efficient Monte Carlo determination of radiation detector responses is described. The method is implemented in the general purpose MCNP Monte Carlo code. The utilization of the method is fairly straightforward and does not require any substantial extra expertise. The method was applied to a standard neutron well logging porosity tool problem. The results exhibit reliability and high efficiency of the Midway method. For the studied problem the efficiency gain is considerably higher than for a normal forward calculation, which is already strongly optimized by weight-windows. No additional effort is required to adjust the Midway model if the position of the detector or the porosity of the formation is changed. Additionally, the Midway method can be used with other variance reduction techniques if extra gain in efficiency is desired.

I.V. Serov; T.M. John; J.E. Hoogenboom

1998-01-01T23:59:59.000Z

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.


321

Monte Carlo stratified source-sampling  

SciTech Connect (OSTI)

In 1995, at a conference on criticality safety, a special session was devoted to the Monte Carlo {open_quotes}eigenvalue of the world{close_quotes} problem. Argonne presented a paper, at that session, in which the anomalies originally observed in that problem were reproduced in a much simplified model-problem configuration, and removed by a version of stratified source-sampling. The original test-problem was treated by a special code designed specifically for that purpose. Recently ANL started work on a method for dealing with more realistic eigenvalue of the world configurations, and has been incorporating this method into VIM. The original method has been modified to take into account real-world statistical noise sources not included in the model problem. This paper constitutes a status report on work still in progress.

Blomquist, R.N.; Gelbard, E.M.

1997-09-01T23:59:59.000Z

322

Research Report Determinism in Partially Ordered Production Systems  

E-Print Network [OSTI]

Research Report Determinism in Partially Ordered Production Systems Joseph M. Hellerstein IBM Production Systems Joseph M. Hellerstein IBM Almaden Research Center San Jose, CA 95120­6099 hellerst; Abstract The subtlety of interactions between rules in a production system has motivated research into ways

California at Irvine, University of

323

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.

324

City of San Jose to host Renewable Energy From Waste Conference 2014 November 18-20, 2014, Double Tree by Hilton, San Jose, California  

E-Print Network [OSTI]

City of San Jose to host Renewable Energy From Waste Conference 2014 for the second Renewable Energy From Waste Conference, to be hosted by the City of San for the rapidly developing and dynamic waste energy industry. Whilst demand for energy

325

JOB DESCRIPTION: Intern in Laguna San Ignacio, Baja, Mexico The Philanthropiece Foundation is seeking an intern to live and work in Laguna San Ignacio, Baja, Mexico.  

E-Print Network [OSTI]

improvements (bringing wind and solar energy to schools, developing computer labs and computer classesJOB DESCRIPTION: Intern in Laguna San Ignacio, Baja, Mexico The Philanthropiece Foundation is seeking an intern to live and work in Laguna San Ignacio, Baja, Mexico. Please see below for further

326

GatorWeather: Student Production of Television/Online Video Eric Gose, San Francisco State University, San Francisco, CA; and E.  

E-Print Network [OSTI]

GatorWeather: Student Production of Television/Online Video Forecasts Eric Gose, San Francisco, students of the meteorology program who were interested in practicing on-air techniques created "Gator Weather". The term "Gator" comes from the fact that the San Francisco State mascot is an alligator (GATOR

327

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

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

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

328

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":""}]}

329

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":""}]}

330

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

331

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":""}]}

332

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

333

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

334

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

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

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

335

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":""}]}

336

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

337

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

338

Italy (including San Marino) Fossil-Fuel CO2 Emissions  

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

339

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.

340

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":""}]}

Note: This page contains sample records for the topic "determination san carlos" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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341

City of San Francisco - Residential Efficiency Rebates | Department of  

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

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

342

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

343

Large Scales - Long Times: Adding High Energy Resolution to SANS  

E-Print Network [OSTI]

The Neutron Spin Echo (NSE) variant MIEZE (Modulation of IntEnsity by Zero Effort), where all beam manipulations are performed before the sample position, offers the possibility to perform low background SANS measurements in strong magnetic fields and depolarising samples. However, MIEZE is sensitive to differences \\DeltaL in the length of neutron flight paths through the instrument and the sample. In this article, we discuss the major influence of \\DeltaL on contrast reduction of MIEZE measurements and its minimisation. Finally we present a design case for enhancing a small-angle neutron scattering (SANS) instrument at the planned European Spallation Source (ESS) in Lund, Sweden, using a combination of MIEZE and other TOF options, such as TISANE offering time windows from ns to minutes. The proposed instrument allows studying fluctuations in depolarizing samples, samples exposed to strong magnetic fields, and spin-incoherently scattering samples in a straightforward way up to time scales of \\mus at momentum ...

Brandl, G; Häußler, W; Mühlbauer, S; Böni, P

2011-01-01T23:59:59.000Z

344

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":""}]}

345

E-Print Network 3.0 - all-atom monte carlo Sample Search Results  

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

Source: Collection: Engineering ; Computer Technologies and Information Sciences 17 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

346

E-Print Network 3.0 - accurate monte carlo Sample Search Results  

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

Tilburg University Collection: Computer Technologies and Information Sciences 59 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

347

E-Print Network 3.0 - adjoint monte carlo Sample Search Results  

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

Oxford Collection: Engineering ; Computer Technologies and Information Sciences 37 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

348

Accelerated rescaling of single Monte Carlo simulation runs with the Graphics Processing Unit (GPU)  

E-Print Network [OSTI]

and S. Andersson-Engels, “Accelerated Monte Carlo models toAccelerated rescaling of single Monte Carlo simulation runsreported on online, GPU- accelerated MC simulations. Along

Yang, Owen; Choi, Bernard

2013-01-01T23:59:59.000Z

349

Designing an Environmental Showcase: The San Francisco Presidio  

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

350

City of San Antonio, Texas Better Buildings Program  

SciTech Connect (OSTI)

The San Antonio Better Buildings Program is a unified single?point?of?service energy efficiency delivery mechanism targeting residential, commercial, institutional, industrial and public buildings. This comprehensive and replicable energy efficiency program is designed to be an effective demand side management initiative to provide a seamless process for program participants to have turn?key access to expert analysis, support and incentives to improve the performance of their in?place energy using systems, while reducing electrical energy use and demand.

Meyer, Liza C.

2014-06-30T23:59:59.000Z

351

Solar Survey of PV System Owners: San Diego  

Broader source: Energy.gov [DOE]

The purpose of the survey was to understand the motivation, challenges and benefits perceived by individuals who decided to install solar systems in the City of San Diego. Approximately 2000 surveys were sent, and 641 surveys were completed. The primary response was from the residential sector. Individuals had the option to reply electronically, using Survey Monkey, or to complete a paper survey. All responses were combined and checked to ensure that there were no duplicates.

352

CX-002032: Categorical Exclusion Determination | Department of Energy  

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

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

353

CX-002943: Categorical Exclusion Determination | Department of Energy  

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

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

354

CX-004345: Categorical Exclusion Determination | Department of Energy  

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

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

355

Categorical Exclusion Determinations: B5.1 | Department of Energy  

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

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

356

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":""}]}

357

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":""}]}

358

Measured and Monte Carlo calculated k{sub Q} factors: Accuracy and comparison  

SciTech Connect (OSTI)

Purpose: The journal Medical Physics recently published two papers that determine beam quality conversion factors, k{sub Q}, for large sets of ion chambers. In the first paper [McEwen Med. Phys. 37, 2179-2193 (2010)], k{sub Q} was determined experimentally, while the second paper [Muir and Rogers Med. Phys. 37, 5939-5950 (2010)] provides k{sub Q} factors calculated using Monte Carlo simulations. This work investigates a variety of additional consistency checks to verify the accuracy of the k{sub Q} factors determined in each publication and a comparison of the two data sets. Uncertainty introduced in calculated k{sub Q} factors by possible variation of W/e with beam energy is investigated further. Methods: The validity of the experimental set of k{sub Q} factors relies on the accuracy of the NE2571 reference chamber measurements to which k{sub Q} factors for all other ion chambers are correlated. The stability of NE2571 absorbed dose to water calibration coefficients is determined and comparison to other experimental k{sub Q} factors is analyzed. Reliability of Monte Carlo calculated k{sub Q} factors is assessed through comparison to other publications that provide Monte Carlo calculations of k{sub Q} as well as an analysis of the sleeve effect, the effect of cavity length and self-consistencies between graphite-walled Farmer-chambers. Comparison between the two data sets is given in terms of the percent difference between the k{sub Q} factors presented in both publications. Results: Monitoring of the absorbed dose calibration coefficients for the NE2571 chambers over a period of more than 15 yrs exhibit consistency at a level better than 0.1%. Agreement of the NE2571 k{sub Q} factors with a quadratic fit to all other experimental data from standards labs for the same chamber is observed within 0.3%. Monte Carlo calculated k{sub Q} factors are in good agreement with most other Monte Carlo calculated k{sub Q} factors. Expected results are observed for the sleeve effect and the effect of cavity length on k{sub Q}. The mean percent differences between experimental and Monte Carlo calculated k{sub Q} factors are -0.08, -0.07, and -0.23% for the Elekta 6, 10, and 25 MV nominal beam energies, respectively. An upper limit on the variation of W/e in photon beams from cobalt-60 to 25 MV is determined as 0.4% with 95% confidence. The combined uncertainty on Monte Carlo calculated k{sub Q} factors is reassessed and amounts to between 0.40 and 0.49% depending on the wall material of the chamber. Conclusions: Excellent agreement (mean percent difference of only 0.13% for the entire data set) between experimental and calculated k{sub Q} factors is observed. For some chambers, k{sub Q} is measured for only one chamber of each type--the level of agreement observed in this study would suggest that for those chambers the measured k{sub Q} values are generally representative of the chamber type.

Muir, B. R.; McEwen, M. R.; Rogers, D. W. O. [Ottawa Medical Physics Institute (OMPI), Ottawa Carleton Institute for Physics, Carleton University Campus, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada); Institute for National Measurement Standards, National Research Council of Canada, Ottawa, Ontario K1A 0R6 (Canada); Ottawa Medical Physics Institute (OMPI), Ottawa Carleton Institute for Physics, Carleton University Campus, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada)

2011-08-15T23:59:59.000Z

359

Iterative acceleration methods for Monte Carlo and deterministic criticality calculations  

SciTech Connect (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

360

Recent advances and future prospects for Monte Carlo  

SciTech Connect (OSTI)

The history of Monte Carlo methods is closely linked to that of computers: The first known Monte Carlo program was written in 1947 for the ENIAC; a pre-release of the first Fortran compiler was used for Monte Carlo In 1957; Monte Carlo codes were adapted to vector computers in the 1980s, clusters and parallel computers in the 1990s, and teraflop systems in the 2000s. Recent advances include hierarchical parallelism, combining threaded calculations on multicore processors with message-passing among different nodes. With the advances In computmg, Monte Carlo codes have evolved with new capabilities and new ways of use. Production codes such as MCNP, MVP, MONK, TRIPOLI and SCALE are now 20-30 years old (or more) and are very rich in advanced featUres. The former 'method of last resort' has now become the first choice for many applications. Calculations are now routinely performed on office computers, not just on supercomputers. Current research and development efforts are investigating the use of Monte Carlo methods on FPGAs. GPUs, and many-core processors. Other far-reaching research is exploring ways to adapt Monte Carlo methods to future exaflop systems that may have 1M or more concurrent computational processes.

Brown, Forrest B [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

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361

Cohesion Energetics of Carbon Allotropes: Quantum Monte Carlo Study  

SciTech Connect (OSTI)

We have performed quantum Monte Carlo calculations to study the cohesion energetics of carbon allotropes, including sp3-bonded diamond, sp2-bonded graphene, sp-sp2 hybridized graphynes, and sp-bonded carbyne. The comput- ed cohesive energies of diamond and graphene are found to be in excellent agreement with the corresponding values de- termined experimentally for diamond and graphite, respectively, when the zero-point energies, along with the interlayer binding in the case of graphite, are included. We have also found that the cohesive energy of graphyne decreases system- atically as the ratio of sp-bonded carbon atoms increases. The cohesive energy of -graphyne, the most energetically- stable graphyne, turns out to be 6.766(6) eV/atom, which is smaller than that of graphene by 0.698(12) eV/atom. Experi- mental difficulty in synthesizing graphynes could be explained by their significantly smaller cohesive energies. Finally we conclude that the cohesive energy of a newly-proposed two-dimensional carbon network can be accurately estimated with the carbon-carbon bond energies determined from the cohesive energies of graphene and three different graphynes.

Shin, Hyeondeok [Konkuk University, South Korea] [Konkuk University, South Korea; Kang, Sinabro [Konkuk University, South Korea] [Konkuk University, South Korea; Koo, Jahyun [Konkuk University, South Korea] [Konkuk University, South Korea; Lee, Hoonkyung [Konkuk University, South Korea] [Konkuk University, South Korea; Kim, Jeongnim [ORNL] [ORNL; Kwon, Yongkyung [Konkuk University, South Korea] [Konkuk University, South Korea

2014-01-01T23:59:59.000Z

362

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

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

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

363

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

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

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

364

Solar Fair in San José Tomorrow | Department of Energy  

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

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

365

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

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

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

366

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

367

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

368

Monte Carlo methods for the nuclear shell model  

E-Print Network [OSTI]

We present novel Monte Carlo methods for treating the interacting shell model that allow exact calculations much larger than those heretofore possible. The two-body interaction is linearized by an auxiliary field; Monte Carlo evaluation of the resulting functional integral gives ground-state or thermal expectation values of few-body operators. The ``sign problem'' generic to quantum Monte Carlo calculations is absent in a number of cases. We discuss the favorable scaling of these methods with nucleon numb er and basis size and their suitability to parallel computation.

C. W. Johnson; S. E. Koonin; G. H. Lang; W. E. Ormand

1992-10-20T23:59:59.000Z

369

Quantum Monte Carlo for electronic structure: Recent developments and applications  

SciTech Connect (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

370

Monte Carlo Study of Patchy Nanostructures Self-Assembled from a Single Multiblock Chain  

E-Print Network [OSTI]

We present a lattice Monte Carlo simulation for a multiblock copolymer chain of length N=240 and microarchitecture $(10-10)_{12}$.The simulation was performed using the Monte Carlo method with the Metropolis algorithm. We measured average energy, heat capacity, the mean squared radius of gyration, and the histogram of cluster count distribution. Those quantities were investigated as a function of temperature and incompatibility between segments, quantified by parameter {\\omega}. We determined the temperature of the coil-globule transition and constructed the phase diagram exhibiting a variety of patchy nanostructures. The presented results yield a qualitative agreement with those of the off-lattice Monte Carlo method reported earlier, with a significant exception for small incompatibilities,{\\omega}, and low temperatures, where 3-cluster patchy nanostructures are observed in contrast to the 2-cluster structures observed for the off-lattice $(10-10)_{12}$ chain. We attribute this difference to a considerable stiffness of lattice chains in comparison to that of the off-lattice chains.

Jakub Krajniak; Michal Banaszak

2014-10-15T23:59:59.000Z

371

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

SciTech Connect (OSTI)

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

372

Movable geometry and eigenvalue search capability in the MC21 Monte Carlo code  

SciTech Connect (OSTI)

A description of a robust and flexible movable geometry implementation in the Monte Carlo code MC21 is described along with a search algorithm that can be used in conjunction with the movable geometry capability to perform eigenvalue searches based on the position of some geometric component. The natural use of the combined movement and search capability is searching to critical through variation of control rod (or control drum) position. The movable geometry discussion provides the mathematical framework for moving surfaces in the MC21 combinatorial solid geometry description. A discussion of the interface between the movable geometry system and the user is also described, particularly the ability to create a hierarchy of movable groups. Combined with the hierarchical geometry description in MC21 the movable group framework provides a very powerful system for inline geometry modification. The eigenvalue search algorithm implemented in MC21 is also described. The foundations of this algorithm are a regula falsi search though several considerations are made in an effort to increase the efficiency of the algorithm for use with Monte Carlo. Specifically, criteria are developed to determine after each batch whether the Monte Carlo calculation should be continued, the search iteration can be rejected, or the search iteration has converged. These criteria seek to minimize the amount of time spent per iteration. Results for the regula falsi method are shown, illustrating that the method as implemented is indeed convergent and that the optimizations made ultimately reduce the total computational expense. (authors)

Gill, D. F.; Nease, B. R.; Griesheimer, D. P. [Bettis Atomic Power Laboratory, PO Box 79, West Mifflin, PA 15122 (United States)

2013-07-01T23:59:59.000Z

373

Multiphoton Monte Carlo event generator for Bhabha scattering at small angles  

Science Journals Connector (OSTI)

We describe in this paper the application of the theory of Yennie, Frautschi, and Suura (YFS) to construct a Monte Carlo (MC) event generator with multiple-photon production for Bhabha scattering at low angles. The respective generator provides the four-momenta of the electron and positron and of all soft and hard photons with a proper treatment of the phase space and conservation of the total four-momentum. The final-state electron and positron are assumed to be visible above some minimum angle with respect to the beams (double tag). The QED matrix element in the algorithm is taken according to the YFS exponentiation scheme. The Monte Carlo program will be helpful in luminosity determination at experiments at the SLAC Linear Collider and the CERN collider LEP; it takes into account QED O(?) and the leading higher-order corrections. The important difference with the existing MC procedures is that the minimum energy above which photons are generated may be set arbitrarily low. Sample Monte Carlo data are illustrated in our discussion.

Stanislaw Jadach and B. F. L. Ward

1989-12-01T23:59:59.000Z

374

E-Print Network 3.0 - acacia san francisco Sample Search Results  

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

TERRACESNew Mexico Geological Society Guidebook, 60th Field Conference, Geology of the Chupadera Mesa Region, 2009, p. 415-424. Summary: Basin south of San Acacia significantly...

375

E-Print Network 3.0 - atomics san diego Sample Search Results  

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

Collection: Biology and Medicine 2 Atomic Scale Deformation Mechanisms of Amorphous Polyethylene under Tensile Loading Summary: , 2011 - San Diego, California 12;Outline ...

376

Ecotourism and Sustainability: Social Impacts on Rural Communities : Case: San Luis Potosí, Mexico.  

E-Print Network [OSTI]

??The aim of this thesis was to examine and analyze chosen tourism destinations in the state of San Luis Potosí in Mexico from the perspectives… (more)

Valtonen, Marika

2013-01-01T23:59:59.000Z

377

Benthic Assemblage Variability in the Upper San Francisco Estuary: A 27-Year Retrospective  

E-Print Network [OSTI]

and sediments along a salinity gradient in the upper Forthalong estuarine salinity gradients. Journal of Marinestations located along a salinity gradient in the upper San

Peterson, Heather A; Vayssieres, Marc

2010-01-01T23:59:59.000Z

378

Tidal Wetland Vegetation in the San Francisco Bay-Delta Estuary  

E-Print Network [OSTI]

plants along the salinity gradient of the San Franciscotidal wetlands along a salinity gradient that ranged fromimportance value, salinity gradient, conservation strategies

Vasey, Michael C.; Parker, V. Thomas; Callaway, John C.; Herbert, Ellen R.; Schile, Lisa M.

2012-01-01T23:59:59.000Z

379

SANS and TEM studies of carbide precipitation and creep damage in type 304 stainless steel  

SciTech Connect (OSTI)

Small-angle neutron scattering (SANS) and transmission electron microscopy (TEM) studies were performed to characterize the carbide (M/sub 23/C/sub 6/) precipitation and creep damage induced in type 304 stainless steel in the primary creep stage. The size distribution of matrix carbides evaluated from SANS analyses was consistent with TEM data, and the expected accelerated kinetics of precipitation under applied stress was confirmed. Additional SANS measurements after the postcreep solution annealing were made in order to differentiate cavities from the carbides. Potential advantages and difficulties associated with characterization of creep-induced cavitation by the SANS techniques are discussed.

Yoo, M.H.; Ogle, J.C.; Schneibel, J.H.; Swindeman, R.W.

1984-01-01T23:59:59.000Z

380

E-Print Network 3.0 - angle diffractometer sans Sample Search...  

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

< 1 2 3 4 5 > >> 1 Technical ParametersSNS Primary Parameters Summary: -Range Small-Angle Neutron Scattering Diffractometer (EQ-SANS) 7 BD Water Engineering Materials...

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

E-Print Network 3.0 - area san juan Sample Search Results  

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

Through Accident Summary: Industries " Busco, Inc. (dba Arrow Stage Lines) " San Juan County, Utah 12;34 Investigative Groups... Emergency Response - Ejections 12;Accident...

382

Text-Alternative Version: San Diego R&D Workshop Video  

Broader source: Energy.gov [DOE]

Following is a text version of Jim Brodrick's opening presentation video from the February 2011 DOE SSL R&D Workshop in San Diego, California.

383

Literature Review of Unconsolidated Sediment in San Francisco Bay and Nearby Pacific Ocean Coast  

E-Print Network [OSTI]

2009 Literature Review of Unconsolidated Sediment in San2009. Literature review of unconsolidated sediment in Sanmay be difficult to locate. Unconsolidated sediment overlies

Keller, Barry R.

2009-01-01T23:59:59.000Z

384

San Diego Hero Alliance: Community-Based Social Marketing Pilot Program  

Broader source: Energy.gov [DOE]

Presents an overview of the California Center for Sustainable Energy's community-based social marketing strategies to promote home energy upgrades to San Diego military and veteran homeowners

385

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

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

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

386

CX-002757: Categorical Exclusion Determination | Department of Energy  

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

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

387

CX-000628: Categorical Exclusion Determination | Department of Energy  

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

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

388

Categorical Exclusion Determinations: B3.6 | Department of Energy  

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

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

389

HYBRID LOGICS Carlos Areces and Balder ten Cate  

E-Print Network [OSTI]

14 HYBRID LOGICS Carlos Areces and Balder ten Cate 1 What are Hybrid Logics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 828 2.3 Very Expressive Hybrid Languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863 This chapter provides a modern overview of the field of hybrid logic. Hybrid logics are ex

Sattler, Ulrike

390

HYBRID LOGICS Carlos Areces and Balder ten Cate  

E-Print Network [OSTI]

14 HYBRID LOGICS Carlos Areces and Balder ten Cate 1 What are Hybrid Logics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Very Expressive Hybrid Languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 This chapter provides a modern overview of the field of hybrid logic. Hybrid logics are ex

ten Cate, Balder

391

Stone Fruit Carlos H. Crisosto, Susan Lurie, and Julio Retamales  

E-Print Network [OSTI]

13 Stone Fruit Carlos H. Crisosto, Susan Lurie, and Julio Retamales CONTENTS 13.1 Introduction......................................................................................... 290 13.2.3 Fruit Biochemistry and Quality Attributes......................................................................................... 294 13.3.3 Fruit Biochemistry and Quality Attributes

Crisosto, Carlos H.

392

A Monte Carlo tool for multi-node reliability evaluation  

E-Print Network [OSTI]

-Area Reliability Program(NARP) is based on the random sampling of generator and transmission line status for each hour. Monte Carlo Approach for Estimating Contingency Statistics along with the Evaluation Subroutine(MACS-ES) advances the generation...

Thalasila, Chander Pravin

2012-06-07T23:59:59.000Z

393

Uniform Laws of Large Numbers Carlos C. Rodriguez  

E-Print Network [OSTI]

Uniform Laws of Large Numbers Carlos C. Rodr´iguez http://omega.albany.edu:8008/ September 30, 2004 of probability theory. It was discovered for the case of random coin flips by James Bernoulli at around 1700

Rodriguez, Carlos

394

VWA-0021- In the Matter of Carlos M. Castillo  

Broader source: Energy.gov [DOE]

This Decision involves a complaint filed by Carlos M. Castillo (Castillo or “the complainant”) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708....

395

An Analysis Tool for Flight Dynamics Monte Carlo Simulations  

E-Print Network [OSTI]

and analysis work to understand vehicle operating limits and identify circumstances that lead to mission failure. A Monte Carlo simulation approach that varies a wide range of physical parameters is typically used to generate thousands of test cases...

Restrepo, Carolina 1982-

2011-05-20T23:59:59.000Z

396

Variance Reduction Techniques for Implicit Monte Carlo Simulations  

E-Print Network [OSTI]

The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and solving the radiation transport equation. During an IMC run a grid network is constructed and particles are sourced into the problem to simulate...

Landman, Jacob Taylor

2013-09-19T23:59:59.000Z

397

Geology of the Carlos-East area, Grimes County, Texas  

E-Print Network [OSTI]

LIBRARY ' ' A &M COLLEGE OF TEYJ5 '4, GEOLOGY OF TRE CARLOS EAST AREA ' *, , GRIIKS COUNTY, TEXAS ==, . :; A Thesii "?, :, WILLIAM' LAWRENCE WALTON 'I ' Submitted to thi Graduate School of the, . : Agricultural and Mechanical College... of Texas in ~ ' k '. -. . -. Partial fulflllnent of the, ' requireaents' for the' degree 'of ;i llASTER OF SCIENCE: 'k ' - Ltigor' Subgeht: 'Geology. r . - '7 r 'k GEOLOGY OP TBE, CARLOS-EAST AREA GRIEES COUNTY' TEXAS 'I ?ILLIAB u...

Walton, William Lawrence

2012-06-07T23:59:59.000Z

398

Implications of Monte Carlo Statistical Errors in Criticality Safety Assessments  

SciTech Connect (OSTI)

Most criticality safety calculations are performed using Monte Carlo techniques because of Monte Carlo's ability to handle complex three-dimensional geometries. For Monte Carlo calculations, the more histories sampled, the lower the standard deviation of the resulting estimates. The common intuition is, therefore, that the more histories, the better; as a result, analysts tend to run Monte Carlo analyses as long as possible (or at least to a minimum acceptable uncertainty). For Monte Carlo criticality safety analyses, however, the optimization situation is complicated by the fact that procedures usually require that an extra margin of safety be added because of the statistical uncertainty of the Monte Carlo calculations. This additional safety margin affects the impact of the choice of the calculational standard deviation, both on production and on safety. This paper shows that, under the assumptions of normally distributed benchmarking calculational errors and exact compliance with the upper subcritical limit (USL), the standard deviation that optimizes production is zero, but there is a non-zero value of the calculational standard deviation that minimizes the risk of inadvertently labeling a supercritical configuration as subcritical. Furthermore, this value is shown to be a simple function of the typical benchmarking step outcomes--the bias, the standard deviation of the bias, the upper subcritical limit, and the number of standard deviations added to calculated k-effectives before comparison to the USL.

Pevey, Ronald E.

2005-09-15T23:59:59.000Z

399

G. W. Bailey, Editor, Proceedings of the 49tb Annual Meeting of the Electron Microscopy Society of America @ 1991 by EMSA. Published by San Francisco Press, Inc., Box 6800, San Francisco. CA 94101-6800. USA  

E-Print Network [OSTI]

of America @ 1991 by EMSA. Published by San Francisco Press, Inc., Box 6800, San Francisco. CA 94101Department ofMaterials Science and Mineral Engineering, University ofCalifornia, Berkeley CA 94720 t

Sparks, Donald L.

400

Monte carlo Techniques for the Comprehensive Modeling of Isotopic Inventories in Future Nuclear Systems and Fuel Cycles  

SciTech Connect (OSTI)

The development of Monte Carlo techniques for isotopic inventory analysis has been explored in order to facilitate the modeling of systems with flowing streams of material through varying neutron irradiation environments. This represents a novel application of Monte Carlo methods to a field that has traditionally relied on deterministic solutions to systems of first-order differential equations. The Monte Carlo techniques were based largely on the known modeling techniques of Monte Carlo radiation transport, but with important differences, particularly in the area of variance reduction and efficiency measurement. The software that was developed to implement and test these methods now provides a basis for validating approximate modeling techniques that are available to deterministic methodologies. The Monte Carlo methods have been shown to be effective in reproducing the solutions of simple problems that are possible using both stochastic and deterministic methods. The Monte Carlo methods are also effective for tracking flows of materials through complex systems including the ability to model removal of individual elements or isotopes in the system. Computational performance is best for flows that have characteristic times that are large fractions of the system lifetime. As the characteristic times become short, leading to thousands or millions of passes through the system, the computational performance drops significantly. Further research is underway to determine modeling techniques to improve performance within this range of problems. This report describes the technical development of Monte Carlo techniques for isotopic inventory analysis. The primary motivation for this solution methodology is the ability to model systems of flowing material being exposed to varying and stochastically varying radiation environments. The methodology was developed in three stages: analog methods which model each atom with true reaction probabilities (Section 2), non-analog methods which bias the probability distributions while adjusting atom weights to preserve a fair game (Section 3), and efficiency measures to provide local and global measures of the effectiveness of the non-analog methods (Section 4). Following this development, the MCise (Monte Carlo isotope simulation engine) software was used to explore the efficiency of different modeling techniques (Section 5).

Paul P.H. Wilson

2005-07-30T23:59:59.000Z

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

PV Validation and Bankability Workshop: San Jose, California  

SciTech Connect (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

402

The 2005 - 2030 Harlingen-San Benito Metropolitan Transportation Plan  

E-Print Network [OSTI]

. Commercial Vehicle Survey 3. Truck Traffic and Routes 4. Dedicated Truck Lanes 5. Hazardous Material Routes 6. Roadway Freight 7. Local Roadway Freight E. Rail/Freight 1. Rail Safety 2. Commodity Flow by Rail in the Harlingen-San Benito MPO 3.... Construct Additional Rail and Complete Rail Realignments E. Construct Intercity Loops 5.14 Future Freeway Traffic Management and Operations Team??pg. 76 5.15 Future Mobility and Arterial Congestion Team???????pg. 77 5.16 Goals to Meet Transportation...

Harlingen-San Benito Metropolitan Planning Organization

2004-12-29T23:59:59.000Z

403

American Association for Cancer Research Genetics and Biology of Brain Cancers 2009, December 13–15, 2009, San Diego, CA  

E-Print Network [OSTI]

13–15, 2009, San Diego, CA Isaac Yang • Linda M. Liauof California, Los Angeles, CA Mitchel S. Berger, M.D.California, San Francisco, CA Keynote session: De?ning the

Yang, Isaac; Liau, Linda M.

2010-01-01T23:59:59.000Z

404

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 Journals Connector (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

405

Utilisation d'un matriau changement de phase dans un mur Trombe sans thermocirculation (*)  

E-Print Network [OSTI]

. Abstract. 2014 Unvented masonry or water Trombe walls have been widely applied to passive solar space633 Utilisation d'un matériau à changement de phase dans un mur Trombe sans thermocirculation (*) L I S mars 1982) Résumé. 2014 Les murs Trombe sans thermocirculation (murs classiques de béton ou murs

Paris-Sud XI, Université de

406

San Francisco Estuary Institute Regional Watershed Program Concentrations and Loads of Mercury,  

E-Print Network [OSTI]

San Francisco Estuary Institute Regional Watershed Program Concentrations and Loads of Mercury #12;McKee, Leatherbarrow, and Oram, 2005 i CONCENTRATIONS AND LOADS OF MERCURY, PCBs, AND OC. Concentrations and loads of mercury, PCBs, and OC pesticides in the lower Guadalupe River, San Jose, California

407

Mercury Dynamics in a San Francisco Estuary Tidal Wetland: Assessing Dynamics Using In Situ Measurements  

E-Print Network [OSTI]

Mercury Dynamics in a San Francisco Estuary Tidal Wetland: Assessing Dynamics Using In Situ the tidally driven exchange of mercury (Hg) between the waters of the San Francisco estuary and Browns Island, respectively--together predicted 94 % of the observed variability in measured total mercury concentra- tion

Boss, Emmanuel S.

408

SURVEY AND ASSESSMENT OF THE "ALAMOSA MARSHES" AREA, SAN LUIS VALLEY, COLORADO  

E-Print Network [OSTI]

SURVEY AND ASSESSMENT OF THE "ALAMOSA MARSHES" AREA, SAN LUIS VALLEY, COLORADO Colorado Natural Heritage Program College of Natural Resources, 8002 Campus Delivery Colorado State University Fort Collins, Colorado 80523-8002 #12;SURVEY AND ASSESSMENT OF THE "ALAMOSA MARSHES" AREA, SAN LUIS VALLEY, COLORADO

409

THE SPAWNING CYCLE OF SOFT-SHELL CLAM, MYA ARENARIA, IN SAN FRANCISCO BAY  

E-Print Network [OSTI]

Isabel-north of the Golden Gate Fields race track on the eastern shore of San Francisco Bay (lat. 37- immediately north of the San Mateo Bridge, off Third Street(lat. 37°34'20"N, long. 122°23'28"W); 4) Point

410

NORTHERN ANCHOVY, ENGRAULIS MORDAX, SPAWNING IN SAN FRANCISCO BA~ CALIFORNIA, 1978-79, RELATIVE TO  

E-Print Network [OSTI]

to the Pacific Ocean through the Golden Gate at lat. 37°49'N, long. 112°29'W; 2) North Bay receives the drainage to the Oakland-San Francisco Bay Bridge in the north. The following description of San Francisco Bay was taken

411

Taller de Ciencia para Jvenes para alumnos de bachillerato San Cristobal de las Casas, Chiapas  

E-Print Network [OSTI]

Taller de Ciencia para Jóvenes para alumnos de bachillerato San Cristobal de las Casas, Chiapas 3-7 agosto, 2009 CONVOCATORIA El "Taller de Ciencia para Jóvenes" en San Cristobal de las Casas (Chiapas), está dirigido a los alumnos de escuelas de nivel bachillerato que se sienten atraidos a las ciencias

Bor, Gil

412

The effect of structural relaxation on SANS and its anisotropy in a metallic glass (*)  

E-Print Network [OSTI]

small-angle-neutron scattering (SANS) intensity from ribbons ofmetallic glasses [I]which we attributed baisse de l'intensité diffusée. Abstract. 2014 We report a large decrease in small-angle-neutron scattering (SANS) after relaxation- annealing below Tg in glassy Pd80Si12Ge8 ribbons. We had previously

Boyer, Edmond

413

The Return On Investment for Taxi Companies Transitioning to Electric A Case Study in San Francisco  

E-Print Network [OSTI]

) is profitable for the company. Fur- thermore, given that gasoline prices in San Francisco are only 5.4% higher. 3. We formulate the problem of locating battery switch- ing stations that serve the taxi fleet algorithm, we find only three battery switching stations are needed for Yellow Cab San Francisco for BEVs

Waterloo, University of

414

Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal  

E-Print Network [OSTI]

i Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal Marshes Refuge in northern San Francisco Bay, California. #12;iii Final Report for Sea-level Rise Response)................................................................... 7 Sea-level rise scenario model inputs

Fleskes, Joe

415

6574 Windward Ridge Way, San Diego, CA 92121 balanceenergysolutions.com Name: Terry Mohn  

E-Print Network [OSTI]

Mohn Job Title: Chief Innovation Officer Company: Balance Energy Address: 6574 Windward Ridge Way, San Innovation Officer of Balance Energy located in San Diego California. Balance Energy engineers and builds technology strategist for the Sempra Energy utilities, with emphasis on smart grid. He specializes

416

8/1/14 Google Maps https://www.google.com/maps/dir/Golden+Gate+Bridge,+San+Francisco,+CA+94129/UCSF%2FMission+Bay,+San+Francisco,+CA/@37.7996107,-122.4363906,... 1/2  

E-Print Network [OSTI]

8/1/14 Google Maps https://www.google.com/maps/dir/Golden+Gate+Bridge,+San+Francisco,+CA+94129/UCSF has tolls. Directions from Golden Gate Bridge to UCSF/Mission Bay San Francisco, CA 94129 Golden Gate;8/1/14 Google Maps https://www.google.com/maps/dir/Golden+Gate+Bridge,+San+Francisco,+CA+94129/UCSF%2FMission

Derisi, Joseph

417

Artists, Patrons, and Trust in Seventeenth-Century Naples: The Case of the Certosa di San Martino  

E-Print Network [OSTI]

San Martino a Napoli. Naples: De Mauro Editore, Cavaciocchi,Martino a Napoli (Naples: De Mauro Editore, 1973), and J.

Napoli, J. Nicholas

2012-01-01T23:59:59.000Z

418

EIS-0477: San Juan Basin Energy Connect Project, San Juan County, New Mexico and La Plata County, Colorado  

Broader source: Energy.gov [DOE]

The Department of the Interior’s Bureau of Land Management is preparing an EIS to evaluate the potential 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, and a new Three Rivers Substation on Western's reserved lands.

419

Quantum Monte Carlo methods and lithium cluster properties  

SciTech Connect (OSTI)

Properties of small lithium clusters with sizes ranging from n = 1 to 5 atoms were investigated using quantum Monte Carlo (QMC) methods. Cluster geometries were found from complete active space self consistent field (CASSCF) calculations. A detailed development of the QMC method leading to the variational QMC (V-QMC) and diffusion QMC (D-QMC) methods is shown. The many-body aspect of electron correlation is introduced into the QMC importance sampling electron-electron correlation functions by using density dependent parameters, and are shown to increase the amount of correlation energy obtained in V-QMC calculations. A detailed analysis of D-QMC time-step bias is made and is found to be at least linear with respect to the time-step. The D-QMC calculations determined the lithium cluster ionization potentials to be 0.1982(14) [0.1981], 0.1895(9) [0.1874(4)], 0.1530(34) [0.1599(73)], 0.1664(37) [0.1724(110)], 0.1613(43) [0.1675(110)] Hartrees for lithium clusters n = 1 through 5, respectively; in good agreement with experimental results shown in the brackets. Also, the binding energies per atom was computed to be 0.0177(8) [0.0203(12)], 0.0188(10) [0.0220(21)], 0.0247(8) [0.0310(12)], 0.0253(8) [0.0351(8)] Hartrees for lithium clusters n = 2 through 5, respectively. The lithium cluster one-electron density is shown to have charge concentrations corresponding to nonnuclear attractors. The overall shape of the electronic charge density also bears a remarkable similarity with the anisotropic harmonic oscillator model shape for the given number of valence electrons.

Owen, R.K.

1990-12-01T23:59:59.000Z

420

U.S. Navy - San Clemente Island, California | Department of Energy  

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

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

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

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

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

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

422

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

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

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

423

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

424

Q&A With Byron Washom of the University of California at San Diego |  

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

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

425

Q&A With Byron Washom of the University of California at San Diego |  

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

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

426

EA-1697: San Joaquin Valley Right-of-Way Project, California | Department  

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

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

427

Comments of San Diego Gas & Electric Company | Department of Energy  

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

428

New detector array improves neutron count capability at HFIR's Bio-SANS |  

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

429

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

430

CX-001673: Categorical Exclusion Determination | Department of Energy  

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

73: Categorical Exclusion Determination 73: Categorical Exclusion Determination CX-001673: Categorical Exclusion Determination City of San Antonio American Recovery and Reinvestment Act (ARRA) - Energy Efficiency and Conservation Block Grant (EECBG) Activity #9 CX(s) Applied: A11, B5.1 Date: 04/09/2010 Location(s): San Antonio, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Energy Efficiency and Conservation Block Grant (EECBG) funds. Tree Rebate Program which will result in the planting of shade trees within 30-feet of the West, South, and East sides of eligible air conditioned residences, businesses, and institutions and provide the tree recipient with a $50 per tree credit to their utility bill. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-001673.pdf More Documents & Publications

431

CX-003331: Categorical Exclusion Determination | Department of Energy  

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

1: Categorical Exclusion Determination 1: Categorical Exclusion Determination CX-003331: Categorical Exclusion Determination Reclamation Projects on Slick Rock Lease Tract C-SR-II, Uranium Leasing Program CX(s) Applied: B1.28 Date: 07/30/2010 Location(s): San Miguel County, Colorado Office(s): Legacy Management The U.S. Department of Energy (DOE) Office of Legacy Management (LM) proposes various reclamation activities related to abandoned mines and mine features that constitute a public safety concern. Independent contractors associated with the lessee (Cotter Corporation) and under supervision of uranium leasing program (ULP) personnel would complete the work, and all projects would be completed within approximately 3 weeks. C-SR-II is located in southwestern San Miguel County, Colorado. The total estimated

432

CX-001734: Categorical Exclusion Determination | Department of Energy  

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

4: Categorical Exclusion Determination 4: Categorical Exclusion Determination CX-001734: Categorical Exclusion Determination Development of Renewable Biofuels Technology by Transcriptomic Analysis and Metabolic Engineering of Diatoms CX(s) Applied: B3.6, A9 Date: 03/30/2010 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office University of California San Diego will use Department of Energy funds to perform two tasks: Task 1: Transcriptomic analysis of environmentally triggered lipid accumulation in two species of diatom algae; Task 2: Metabolic engineering of the cell to alter carbon partitioning for abundant lipid accumulation coupled with high biomass accumulation. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-001734.pdf More Documents & Publications

433

Categorical Exclusion Determinations: Office of Energy Efficiency and  

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

30, 2010 30, 2010 CX-006012: Categorical Exclusion Determination Energy Efficiency Lighting Retrofits CX(s) Applied: B2.2, B2.5, B5.1 Date: 08/30/2010 Location(s): Enfield, Connecticut Office(s): Energy Efficiency and Renewable Energy August 30, 2010 CX-003860: Categorical Exclusion Determination State Energy Program (SEP) American Recovery and Reinvestment Act (ARRA) EE-0000169 CX(s) Applied: B1.31, B5.1 Date: 08/30/2010 Location(s): Portage, Indiana Office(s): Energy Efficiency and Renewable Energy, Golden Field 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

434

CX-005730: Categorical Exclusion Determination | Department of Energy  

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

30: Categorical Exclusion Determination 30: Categorical Exclusion Determination CX-005730: Categorical Exclusion Determination State Energy Program Sinton Independent School District Wind Energy Project- Phase II CX(s) Applied: B5.1 Date: 04/21/2011 Location(s): San Patricio County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Sinton Independent School District (ISO), San Patricio County, Texas proposes to install a 100 kilowatt wind turbine (Northern Power 100) on the campus of their high school to reduce operations costs, increase energy efficiency, reduce reliance on imported energy, improve reliability, and reduce environmental impacts of energy production. The turbine would be installed on a 121-foot tall tubular steel tower, have a rotor diameter of 69 feet, and a total height of about 156 feet.

435

Categorical Exclusion Determinations: Office of Energy Efficiency and  

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

2, 2009 2, 2009 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 December 2, 2009 CX-000102: Categorical Exclusion Determination Plainfield's Public Works Facility's Building and Parking Lot Lighting Retrofit CX(s) Applied: B1.3, B2.5, B5.1 Date: 12/02/2009 Location(s): Plainfield, Illinois Office(s): Energy Efficiency and Renewable Energy December 2, 2009 CX-000229: Categorical Exclusion Determination Virginia County Chesterfield CX(s) Applied: A11, B2.5, B5.1 Date: 12/02/2009 Location(s): Chesterfield County, Virginia Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

436

Categorical Exclusion Determinations: A11 | Department of Energy  

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

10, 2009 10, 2009 CX-000057: Categorical Exclusion Determination San Pasqual Band of Diegueno Mission Indians Residential and Commercial Building Energy Audits CX(s) Applied: B5.1, A9, A11 Date: 11/10/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000056: Categorical Exclusion Determination San Pasqual Band of Diegueno Mission Indians Energy Efficiency and Conservation Strategy Date: 11/10/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000055: Categorical Exclusion Determination New Rochelle's Residential and Commercial Audits CX(s) Applied: B5.1, B2.5, A9, A11 Date: 11/10/2009 Location(s): New Rochelle, New York Office(s): Energy Efficiency and Renewable Energy November 10, 2009

437

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

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

9, 2010 9, 2010 CX-001673: Categorical Exclusion Determination City of San Antonio American Recovery and Reinvestment Act (ARRA) - Energy Efficiency and Conservation Block Grant (EECBG) Activity #9 CX(s) Applied: A11, B5.1 Date: 04/09/2010 Location(s): San Antonio, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 9, 2010 CX-001668: Categorical Exclusion Determination City of El Paso Landfill Gas Recovery Project American Recovery and Reinvestment Act (ARRA) - Energy Efficiency and Conservation Block Grant (EECBG) CX(s) Applied: B5.1 Date: 04/09/2010 Location(s): El Paso, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 9, 2010 CX-001671: Categorical Exclusion Determination City of Laredo, Texas American Recovery and Reinvestment Act (ARRA) -

438

Categorical Exclusion Determinations: A9 | Department of Energy  

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

November 11, 2009 November 11, 2009 CX-000189: Categorical Exclusion Determination Texas County Fort Bend CX(s) Applied: A9, A11, B5.1 Date: 11/11/2009 Location(s): Fort Blend County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 11, 2009 CX-000188: Categorical Exclusion Determination Texas City San Antonio CX(s) Applied: A9, A11, B2.5, B3.6, B5.1 Date: 11/11/2009 Location(s): San Antonio, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 11, 2009 CX-000187: Categorical Exclusion Determination South Carolina County Richland CX(s) Applied: A9, A11, B2.5, B5.1 Date: 11/11/2009 Location(s): Richland County, South Carolina Office(s): Energy Efficiency and Renewable Energy, Golden Field Office November 10, 2009

439

CX-006103: Categorical Exclusion Determination | Department of Energy  

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

103: Categorical Exclusion Determination 103: Categorical Exclusion Determination 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 Energy Efficiency and Conservation Block Grant Program. 1) Hire consultant to develop an Energy and Climate Action Plan, 2) hire a consultant to develop and Energy Efficiency and Conservation Strategy, 3) participate in the AB811 energy efficiency funding program, 4) develop a bicycle master plan, 5) replace 18 street lights with light emitting diodes, 6) install a 28 kilowatt roof mounted photovoltaic system on the city?s Pump Station A&B Meters Facility (City Corporate Yard Project), and 7) install a 20 kilowatt

440

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

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

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-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 March 5, 2010 CX-001137: Categorical Exclusion Determination Advanced Epi Tools for Gallium Nitride LED (Light Emitting Diode) Devices CX(s) Applied: B3.6 Date: 03/05/2010 Location(s): Santa Clara, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

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.


441

CX-005026: Categorical Exclusion Determination | Department of Energy  

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

026: Categorical Exclusion Determination 026: Categorical Exclusion Determination CX-005026: Categorical Exclusion Determination Bob Jones Bike Trail-Southern Connection CX(s) Applied: B1.32, B5.1 Date: 01/12/2011 Location(s): San Luis Obispo, California Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant. The proposed project scope consists of installing a 120 foot by 8 foot wide single-span weathered steel bridge for bikes and pedestrians across San Luis Creek just to the South of the existing Prado Road Bridge for vehicles. This will allow cyclists and pedestrians to access the trail without having to cross over the Prado Road Bridge, which is very narrow and presents an unsafe passage for cyclists and pedestrians. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

442

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

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

1, 2010 1, 2010 CX-003390: Categorical Exclusion Determination Interstate-75 Green Corridor Project CX(s) Applied: B5.1 Date: 08/11/2010 Location(s): Cartersville, Georgia Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 11, 2010 CX-003389: Categorical Exclusion Determination Today's Leaders for a Sustainable Tomorrow (Summary Categorical Exclusion) CX(s) Applied: A9, A11, B5.1 Date: 08/11/2010 Location(s): Minnesota Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 11, 2010 CX-003388: Categorical Exclusion Determination San Francisco Electric Vehicle Initiative CX(s) Applied: A9, A11, B5.1 Date: 08/11/2010 Location(s): San Francisco, California Office(s): Energy Efficiency and Renewable Energy, National Energy

443

Categorical Exclusion Determinations: Office of Energy Efficiency and  

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

0, 2010 0, 2010 CX-000619: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Metropolitan Tulsa Transit Authority CX(s) Applied: B5.1 Date: 01/20/2010 Location(s): Tulsa, Oklahoma Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 20, 2010 CX-000620: Categorical Exclusion Determination gridSMART - Public Service Company of Oklahoma CX(s) Applied: B5.1 Date: 01/20/2010 Location(s): Oklahoma Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 20, 2010 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

444

Categorical Exclusion Determinations: B3.6 | Department of Energy  

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

8, 2011 8, 2011 CX-006737: Categorical Exclusion Determination Investigation of Cathode Electrocatalytic Activity using Surfaced Engineered Thin Film Samples CX(s) Applied: B3.6 Date: 09/08/2011 Location(s): Pittsburgh, Pennsylvania Office(s): Fossil Energy, National Energy Technology Laboratory September 6, 2011 CX-006744: Categorical Exclusion Determination Dry Process Electrode Fabrication CX(s) Applied: B3.6 Date: 09/06/2011 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory September 6, 2011 CX-006743: Categorical Exclusion Determination Dry Process Electrode Fabrication CX(s) Applied: B3.6 Date: 09/06/2011 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, National Energy

445

CX-001186: Categorical Exclusion Determination | Department of Energy  

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

86: Categorical Exclusion Determination 86: Categorical Exclusion Determination CX-001186: Categorical Exclusion Determination California Department of General Services Data Center Energy Efficient Cooling Control CX(s) Applied: A9, B5.1 Date: 03/21/2010 Location(s): San Francisco, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Federspiel Controls, Inc. will demonstrate their proprietary data center environment management solutions. Their combination of hardware and software technologies will be demonstrated in 12 data centers located in the San Francisco, Sacramento, and Los Angeles areas. This is a 1-year demonstration project utilizing Department of Energy and cost-share funding. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-001186.pdf More Documents & Publications

446

CX-000254: Categorical Exclusion Determination | Department of Energy  

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

54: Categorical Exclusion Determination 54: Categorical Exclusion Determination 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 Energy Efficiency and Conservation Block Grant for: Greenhouse Gas Emissions Reduction Plan Environmental Impact Report, Solar Electric System for Rancho Cuccamonga County Office Building, County Heating Ventilation and Air-Condition (HVAC) Retrofit Program, Solar Electric System for High Desert Government Center, Program to Implement AB 811, Solar Electric System for the Joshua Tree County Building. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000254.pdf More Documents & Publications

447

CX-005363: Categorical Exclusion Determination | Department of Energy  

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

5363: Categorical Exclusion Determination 5363: Categorical Exclusion Determination CX-005363: Categorical Exclusion Determination Solar Junction's 100 Megawatt Manufacturing Line CX(s) Applied: B1.31 Date: 03/04/2011 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 Solar Junction to finance a 100 megawatt (MW) solar cell manufacturing line for multifunction photovoltaic solar cells to expand their existing 7 MW Demonstration Facility at 401 Charcot Avenue, San Jose, California 95131. The proposed project will commercialize an entirely new class of high-efficiency solar cells and concentrating photovoltaic components that incorporate high performance junctions formed with a tunable band gap semiconductor material, Gallium Indium Nitride Arsenide.

448

CX-003848: Categorical Exclusion Determination | Department of Energy  

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

848: Categorical Exclusion Determination 848: Categorical Exclusion Determination 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 Federal and cost share funds will be used for three tasks. The first task will involve renovating the Bonner Hall Algal Culture Growth Facility. All remodeling will be done in a current facility on the University's campus. Some internal walls will be removed and new ones built to create an enclosed algal growth room and a separate algal characterization laboratory. Also, new waterproof floors, a heap-filter system, and new outlets will be added. The second task will running the algal bioreactors,

449

CX-000283: Categorical Exclusion Determination | Department of Energy  

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

283: Categorical Exclusion Determination 283: Categorical Exclusion Determination CX-000283: Categorical Exclusion Determination Cotter Corp Exploratory Drill Hole on Tract C-SR-13A CX(s) Applied: B3.1, B1.3 Date: 11/09/2009 Location(s): San Miguel County, Colorado Office(s): Legacy Management Cotter Corporation proposes to conduct exploratory drilling on Lease Tract C-SR-13A, located in San Miguel County, Colorado. The exploratory drilling would consist of boring one 5-6-inch diameter hole adjacent to an existing road to an estimated depth of 750 feet. A truck-mounted air rotary drill rig would be used for this action. In addition, a 10 x 10 x 3 feet deep excavated area would be used to contain the drill cuttings. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000283.pdf More Documents & Publications

450

CX-003249: Categorical Exclusion Determination | Department of Energy  

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

49: Categorical Exclusion Determination 49: Categorical Exclusion Determination CX-003249: Categorical Exclusion Determination California-Tribe-San Pasqual Band of Mission Indians CX(s) Applied: A9, A11, B5.1 Date: 07/26/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The San Pasqual Band of Mission Indians of California proposes to 1) develop an energy efficiency and conservation strategy; 2) hire a project consultant to develop a solicitation for performing energy audits and writing strategies and establish communication between the tribe and the weatherization and solar contractors to ensure that tribal members understand the requirements needed; and 3) conduct energy audits of the tribal buildings and its

451

CX-005243: Categorical Exclusion Determination | Department of Energy  

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

43: Categorical Exclusion Determination 43: Categorical Exclusion Determination 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 Energy Efficiency and Conservation Block Grant Program. 1) Develop strategy (completed), 2) develop loan program for energy performance audits, 3) conduct home energy performance audit classes, 4) develop energy and water retrofit standards (green packages), 5) upgrade street lights to more efficient fixtures, 6) retrofit city buildings with energy monitoring and control systems, 7) develop financial incentive program for property and business owners to assist in implementing energy efficiency upgrades, and

452

CX-005951: Categorical Exclusion Determination | Department of Energy  

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

951: Categorical Exclusion Determination 951: Categorical Exclusion Determination CX-005951: Categorical Exclusion Determination Silicon Valley Technology Center Solar: A Photovoltaic Manufacturing Development Facility CX(s) Applied: B3.6, B5.1 Date: 05/31/2011 Location(s): San Jose, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Silicon Valley Technology Center (SVTC) Solar proposes to use federal funding to create a photovoltaic manufacturing development facility. This facility will allow industry partners access to cutting edge equipment which is intended to speed the transition from research and development to full-scale manufacturing of photovoltaic materials. The facility will be located within an existing building at 5212 Hellyer Avenue, San Jose, California.

453

Categorical Exclusion Determinations: A9 | Department of Energy  

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

1, 2010 1, 2010 CX-001866: Categorical Exclusion Determination Renewable Energy Composite Solutions CX(s) Applied: A1, A9, B5.1 Date: 03/31/2010 Location(s): Vancouver, Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office March 31, 2010 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 March 31, 2010 CX-001570: Categorical Exclusion Determination Texas County of Hidalgo CX(s) Applied: A9, A11, B5.1 Date: 03/31/2010 Location(s): Hidalgo, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

454

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":""}]}

455

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

456

RECORD OF CATEGORICAL EXCLUSION DETERMINATION  

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

maintenance maintenance along the exis!ing Blythe-Knob 161-kV transmission Ime in Maricopa County. Arizona RECORD OF CATEGORICAL EXCLUSION DETERMINATION A. Proposed Action: Western proposes to replace broken crossarms at structures 32/3,6312 and cross brace repair at structure 31/2 along the existing Blythe - Knob 161-kV transmission line. Western will access structures using crew trucks and pickup trucks along existing access roads. This work is necessary to maintain the safety and reliability of the bulk electrical system. The attached maps show the project area is situated within Sections 15 & 21 Township 11 South Range 20 East & Section 10 Township 16 South Range 21 East on the San Bernardino Meridian, Imperial County, California. The corresponding

457

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.

458

The Monte Carlo Independent Column Approximation Model Intercomparison  

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

459

Report of the Preliminary Archaeological Reconnaissance of the Lawrence Livermore Laboratory Site 300, San Joaquin County, California  

SciTech Connect (OSTI)

The area subject to this investigation is the existing Lawrence Livermore Laboratory Site 300, located in the region north of Corral Hollow; approximately eight and one half miles southwest of Tracy, San Joaquin County, California. Cartographic location can be determined from the Tracy and Midway USGS 7.5 minute topographic quadrangles, the appropriate portions of which are herein reproduced as Maps 1 and 2. The majority of the approximate 7000 acres of the location lies within San Joaquin County. This includes all of the area arbitrarily designated the 'Eastern Portion' on Map 2 and the majority of the area designated the 'Western Portion' on Map 1. The remaining acreage, along the western boundary of the location, lies within Alameda County. The area is located in the region of open rolling hills immediately north of Corral Hollow, and ranges in elevation from approximately 600 feet, on the flood plain of Corral Hollow Creek, to approximately 1700 feet in the northwest portion of the project location. Proposed for the area under investigation are various, unspecified improvements or modifications to the existing Site 300 facilities. Present facilities consist of scattered buildings, bunkers and magazines, utilized for testing and research purposes, including the necessary water, power, and transportation improvements to support them. The vast majority of the 7000 acres location is presently open space, utilized as buffer zones between test locations and as firing ranges.

Busby, C

2009-11-24T23:59:59.000Z

460

Investigations of early stage precipitation in a tungsten-rich nickel-base superalloy using SAXS and SANS  

Science Journals Connector (OSTI)

Abstract Characterization of the early stage precipitation is an important issue as it controls the emerging microstructure developed on Ni-based superalloys which are used as single crystal blades in gas turbines. The difficulty is that the gamma prime precipitation occurs at high temperatures and the reaction kinetic is very fast. Therefore, experimental methods with high time resolution are needed to monitor ?? precipitation. By using the high flux synchrotron instrument HARWI-II set up of the Helmholtz–Zentrum Geesthacht with a fast data collection detector, it was possible to observe the creation of fine precipitates and their early growth in a tungsten-rich Ni-base superalloy. The cooling down of the superalloy from the single-phase region to lower temperatures already leads to the formation of precipitates in the size range of a few nm. The formation and growth of the precipitates at this early stage is described in detail. In addition, SANS measurements were performed at the new SANS-1 instrument at Maier–Leibnitz Zentrum (MLZ) in Garching to extend the results to larger precipitate sizes. DSC experiments were used to determine the critical temperatures of the formation of these fine precipitates, as well as the temperature at which they dissolve during heating (?? solvus temperature).

R. Gilles; D. Mukherji; H. Eckerlebe; L. Karge; P. Staron; P. Strunz; Th. Lippmann

2014-01-01T23:59:59.000Z

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.


461

Categorical Exclusion Determinations: Texas | Department of Energy  

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

April 26, 2011 April 26, 2011 CX-005888: Categorical Exclusion Determination High Pressure Fire Loop Tank and Pump Replacement CX(s) Applied: B1.15 Date: 04/26/2011 Location(s): Pantex Plant, Texas Office(s): NNSA-Headquarters, Pantex Site Office April 21, 2011 CX-005731: Categorical Exclusion Determination Seadrift Wind Turbine CX(s) Applied: B5.1 Date: 04/21/2011 Location(s): Calhoun County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 21, 2011 CX-005730: Categorical Exclusion Determination State Energy Program Sinton Independent School District Wind Energy Project- Phase II CX(s) Applied: B5.1 Date: 04/21/2011 Location(s): San Patricio County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 13, 2011 CX-005622: Categorical Exclusion Determination

462

Categorical Exclusion Determinations: Colorado | Department of Energy  

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

August 4, 2010 August 4, 2010 CX-003201: Categorical Exclusion Determination Baseload Nitrate Salt Central Receiver Power Plant Design CX(s) Applied: A9 Date: 08/04/2010 Location(s): Colorado Office(s): Energy Efficiency and Renewable Energy, Golden Field Office July 30, 2010 CX-003332: Categorical Exclusion Determination Reclamation Projects on Wedding Bell Mountain Lease Tract C-WM-17, Uranium Leasing Program CX(s) Applied: B1.28 Date: 07/30/2010 Location(s): Montrose County, Colorado Office(s): Legacy Management July 30, 2010 CX-003331: Categorical Exclusion Determination Reclamation Projects on Slick Rock Lease Tract C-SR-II, Uranium Leasing Program CX(s) Applied: B1.28 Date: 07/30/2010 Location(s): San Miguel County, Colorado Office(s): Legacy Management July 30, 2010 CX-003333: Categorical Exclusion Determination

463

Categorical Exclusion Determinations: California | Department of Energy  

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

7, 2009 7, 2009 CX-001250: Categorical Exclusion Determination Energy Efficiency Lighting and Plumbing Retrofits for Several City Facilities CX(s) Applied: B2.5, B5.1 Date: 12/17/2009 Location(s): Porterville, California Office(s): Energy Efficiency and Renewable Energy December 16, 2009 CX-001252: Categorical Exclusion Determination Energy Efficiency Retrofits CX(s) Applied: B2.5, B5.1 Date: 12/16/2009 Location(s): San Rafael, California Office(s): Energy Efficiency and Renewable Energy December 16, 2009 CX-001249: Categorical Exclusion Determination Energy Efficiency and Conservation Programs CX(s) Applied: A9, A11, B2.5, B5.1 Date: 12/16/2009 Location(s): Hayward, California Office(s): Energy Efficiency and Renewable Energy December 16, 2009 CX-001248: Categorical Exclusion Determination

464

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":""}]}

465

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":""}]}

466

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":""}]}

467

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.

468

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":""}]}

469

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

470

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

471

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":""}]}

472

Hybrid energy system cost analysis: San Nicolas Island, California  

SciTech Connect (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

473

3D Model of the San Emidio Geothermal Area  

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

The San Emidio geothermal system is characterized by a left-step in a west-dipping normal fault system that bounds the western side of the Lake Range. The 3D geologic model consists of 5 geologic units and 55 faults. Overlying Jurrassic-Triassic metasedimentary basement is a ~500 m-1000 m thick section of the Miocene lower Pyramid sequence, pre- syn-extensional Quaternary sedimentary rocks and post-extensional Quaternary rocks. 15-30º eastward dip of the stratigraphy is controlled by the predominant west-dipping fault set. Both geothermal production and injection are concentrated north of the step over in an area of closely spaced west dipping normal faults.

James E. Faulds

474

3D Model of the San Emidio Geothermal Area  

SciTech Connect (OSTI)

The San Emidio geothermal system is characterized by a left-step in a west-dipping normal fault system that bounds the western side of the Lake Range. The 3D geologic model consists of 5 geologic units and 55 faults. Overlying Jurrassic-Triassic metasedimentary basement is a ~500 m-1000 m thick section of the Miocene lower Pyramid sequence, pre- syn-extensional Quaternary sedimentary rocks and post-extensional Quaternary rocks. 15-30º eastward dip of the stratigraphy is controlled by the predominant west-dipping fault set. Both geothermal production and injection are concentrated north of the step over in an area of closely spaced west dipping normal faults.

James E. Faulds

2013-12-31T23:59:59.000Z

475

Microsoft Word - San Diego 2004 ORT Conference paper_1.doc  

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

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

476

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":""}]}

477

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":[]}

478

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

479

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":""}]}

480

Coil-bridge transition and Monte Carlo simulation of a stretched polymer  

Science Journals Connector (OSTI)

The structure of the system consisting of a grafted self-avoiding polymer chain attracted to the surface layer of a flat wall at a distance away by a short-ranged force is investigated. A first-order transition is determined between the coil state at a low attraction energy and the bridge state at a high attraction energy. The transition properties of the system are obtained by a Monte Carlo simulation, which uses the inverse density of states as the transition weight and is reweighted back to a canonical ensemble. The determination of the density of states follows a revised Wang-Landau procedure in which the center-of-mass distance from the grafted site is used as the variable. Scaling arguments are also given for the observed numerical results.

Jeff Z. Y. Chen

2011-10-25T23:59:59.000Z

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481

Monte Carlo Modeling of Photon Interrogation Methods for Characterization of Special Nuclear Material  

SciTech Connect (OSTI)

This work illustrates a methodology based on photon interrogation and coincidence counting for determining the characteristics of fissile material. The feasibility of the proposed methods was demonstrated using a Monte Carlo code system to simulate the full statistics of the neutron and photon field generated by the photon interrogation of fissile and non-fissile materials. Time correlation functions between detectors were simulated for photon beam-on and photon beam-off operation. In the latter case, the correlation signal is obtained via delayed neutrons from photofission, which induce further fission chains in the nuclear material. An analysis methodology was demonstrated based on features selected from the simulated correlation functions and on the use of artificial neural networks. We show that the methodology can reliably differentiate between highly enriched uranium and plutonium. Furthermore, the mass of the material can be determined with a relative error of about 12%. Keywords: MCNP, MCNP-PoliMi, Artificial neural network, Correlation measurement, Photofission

Pozzi, Sara A [ORNL; Downar, Thomas J [ORNL; Padovani, Enrico [Nuclear Engineering Department Politecnico di Milano, Milan, Italy; Clarke, Shaun D [ORNL

2006-01-01T23:59:59.000Z

482

Adaptive {delta}f Monte Carlo Method for Simulation of RF-heating and Transport in Fusion Plasmas  

SciTech Connect (OSTI)

Essential for modeling heating and transport of fusion plasma is determining the distribution function of the plasma species. Characteristic for RF-heating is creation of particle distributions with a high energy tail. In the high energy region the deviation from a Maxwellian distribution is large while in the low energy region the distribution is close to a Maxwellian due to the velocity dependency of the collision frequency. Because of geometry and orbit topology Monte Carlo methods are frequently used. To avoid simulating the thermal part, {delta}f methods are beneficial. Here we present a new {delta}f Monte Carlo method with an adaptive scheme for reducing the total variance and sources, suitable for calculating the distribution function for RF-heating.

Hoeoek, J.; Hellsten, T. [Fusion Plasma Physics, School of Electrical Engineering, Royal Institute of Technology (KTH), SE-100 44, Stockholm, Association VR-Euratom (Sweden)

2009-11-26T23:59:59.000Z

483

A Monte Carlo simulation based two-stage adaptive resonance theory mapping approach for offshore oil spill vulnerability index classification  

Science Journals Connector (OSTI)

Abstract In this paper, a Monte Carlo simulation based two-stage adaptive resonance theory mapping (MC-TSAM) model was developed to classify a given site into distinguished zones representing different levels of offshore Oil Spill Vulnerability Index (OSVI). It consisted of an adaptive resonance theory (ART) module, an ART Mapping module, and a centroid determination module. Monte Carlo simulation was integrated with the TSAM approach to address uncertainties that widely exist in site conditions. The applicability of the proposed model was validated by classifying a large coastal area, which was surrounded by potential oil spill sources, based on 12 features. Statistical analysis of the results indicated that the classification process was affected by multiple features instead of one single feature. The classification results also provided the least or desired number of zones which can sufficiently represent the levels of offshore OSVI in an area under uncertainty and complexity, saving time and budget in spill monitoring and response.

Pu Li; Bing Chen; Zelin Li; Xiao Zheng; Hongjing Wu; Liang Jing; Kenneth Lee

2014-01-01T23:59:59.000Z

484

E-Print Network 3.0 - atlas monte carlo Sample Search Results  

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

di - Dipartimento di Fisica, Quantum Optics Group Collection: Physics 50 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

485

E-Print Network 3.0 - accelerated monte carlo Sample Search Results  

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

Nuclear Technologies ; Environmental Sciences and Ecology ; Biology and Medicine 36 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

486

E-Print Network 3.0 - applicator monte carlo Sample Search Results  

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

of Electrical and Computer Engineering, Virginia Tech Collection: Engineering 85 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

487

E-Print Network 3.0 - adaptive monte carlo Sample Search Results  

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

and Statistics, University of New South Wales Collection: Mathematics 47 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

488

E-Print Network 3.0 - accelerating monte carlo Sample Search...  

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

Nuclear Technologies ; Environmental Sciences and Ecology ; Biology and Medicine 36 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

489

E-Print Network 3.0 - anatomy monte carlo Sample Search Results  

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

de Lige Collection: Power Transmission, Distribution and Plants ; Engineering 19 Das Ising-Modell und Monte-Carlo-Simulation Das Ising-Modell und Monte-Carlo-Simulation Summary:...

490

Bone Penetration of Amoxicillin and Clavulanic Acid Evaluated by Population Pharmacokinetics and Monte Carlo Simulation  

Science Journals Connector (OSTI)

...infusion. Simulations with our...equilibration by modeling and to derive...Monte Carlo simulations. Drusano...bone was rapid for both...using a fully automated extraction...pharmacokinetic modeling and Monte Carlo simulation. Antimicrob...

Cornelia B. Landersdorfer; Martina Kinzig; Jürgen B. Bulitta; Friedrich F. Hennig; Ulrike Holzgrabe; Fritz Sörgel; Johannes Gusinde

2009-03-23T23:59:59.000Z

491

The theoretical development of a new high speed solution for Monte Carlo radiation transport computations  

E-Print Network [OSTI]

Advancements in parallel and cluster computing have made many complex Monte Carlo simulations possible in the past several years. Unfortunately, cluster computers are large, expensive, and still not fast enough to make the Monte Carlo technique...

Pasciak, Alexander Samuel

2007-04-25T23:59:59.000Z

492

Monte Carlo Simulations of Thermal Conductivity in Nanoporous Si Membranes  

E-Print Network [OSTI]

candidates for thermoelectric materials as they can provide extremely low thermal conductivity , relatively of boundary scattering on the thermal conductivity. We show that the material porosity strongly affects1 Monte Carlo Simulations of Thermal Conductivity in Nanoporous Si Membranes Stefanie Wolf1

493

Impact of random numbers on parallel Monte Carlo application  

SciTech Connect (OSTI)

A number of graduate students are involved at various level of research in this project. We investigate the basic issues in materials using Monte Carlo simulations with specific interest in heterogeneous materials. Attempts have been made to seek collaborations with the DOE laboratories. Specific details are given.

Pandey, Ras B.

2002-10-22T23:59:59.000Z

494

Evolution of Voronoi-based Fuzzy Controllers Carlos Kavka1  

E-Print Network [OSTI]

of application of fuzzy logic is control, where fuzzy controllers have proved to be very effective in the contextEvolution of Voronoi-based Fuzzy Controllers Carlos Kavka1 and Marc Schoenauer2 1 LIDIC.Schoenauer@inria.fr Abstract. A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set

Paris-Sud XI, Université de

495

The Horseshoe Estimator for Sparse Signals Carlos M. Carvalho  

E-Print Network [OSTI]

The Horseshoe Estimator for Sparse Signals Carlos M. Carvalho Nicholas G. Polson University of Chicago Booth School of Business James G. Scott Duke University Department of Statistical Science October estimator. The horseshoe is a close cousin of other widely used Bayes rules arising from, for example

Qiu, Robert Caiming

496

Hamiltonian Cycles on Symmetrical Graphs Carlo H. Squin  

E-Print Network [OSTI]

Hamiltonian Cycles on Symmetrical Graphs Carlo H. Séquin Computer Science Division, EECS Department-connected symmetrical graphs are colored so that they form Hamiltonian cycles. As an introduction we discuss is to color all edges in these graphs with multi- ple congruent copies of Hamiltonian cycles exhibiting

O'Brien, James F.

497

Monte Carlo calibration of avalanches described as Coulomb fluid flows  

Science Journals Connector (OSTI)

...different mathematical issues to invert a relationship in the form...crude current knowledge of snow rheology and avalanche physics as well...positioned on each side of 0 and a flat asymmetric tail extending over...Theoretical Monte Carlo Method Motion Rheology methods Snow chemistry Static...

2005-01-01T23:59:59.000Z

498

INTEGRATING MEETING RESULTS IN ORGANISATIONS Carlos J. Costa  

E-Print Network [OSTI]

INTEGRATING MEETING RESULTS IN ORGANISATIONS Carlos J. Costa Departamento de Ciências e Tecnologias of the 1980's as the Holy Grail to improve meeting processes and outcomes (Fjermestad and Hiltz, 1999 and J. Dias (2001) Integrating Meeting Results in Organizations. Enterprise Information Systems Ii. B

Antunes, Pedro

499

Organisational Integration of Meeting Results Carlos J. Costa  

E-Print Network [OSTI]

1 Organisational Integration of Meeting Results Carlos J. Costa Departamento de Ciências e, Universidade de Lisboa J. Ferreira Dias Departamento de Ciências de Gestão, ISCTE, Lisboa ABSTRACT This paper to a funeral." From the beginning of the 1980's, Electronic Meeting Systems have been viewed as the Holy Grail

Antunes, Pedro

500

" -To Build a Twisted Bridge -" Carlo H. Squin  

E-Print Network [OSTI]

" - To Build a Twisted Bridge - " Carlo H. Séquin Computer Science Division, EECS Department-up on a discussion at the 1999 Bridges conference; it is a topological / geometrical study of how the structure of a Moebius band might be applied to bridges and/or buildings, with the possibility of creating an intriguing

O'Brien, James F.