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


1

Building Energy Software Tools Directory: Rehab Advisor  

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

Rehab Advisor Rehab Advisor Rehab Advisor logo. Designed to help homeowners, contractors, architects, housing authorities, development agencies, facility managers and others to improve energy efficiency in existing residences during renovation and remodeling. In six clicks the Rehab Advisor provides recommendations for cost-effectively increasing the energy efficiency of a typical renovation project in single-family or multifamily housing. These recommendations are based on the building type, location, and specific project � and they are free. Rehab Advisor is the simplest tool available for estimating the costs and savings of incorporating cost-effective energy efficiency improvements into remodeling projects. The user does not have to do any computer modeling or other calculations. And, unlike any other user-friendly tool, the Rehab

2

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from Solar Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

3

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1] System Advisor Model [2]

4

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from System Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

5

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1]

6

Systems Advisor Model | Department of Energy  

Energy Savers (EERE)

Systems Advisor Model Systems Advisor Model Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on...

7

Building Energy Software Tools Directory: Design Advisor  

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

Design Advisor Design Advisor Web suite of building energy simulators that model energy, comfort, and daylighting performance, and give estimates of the long-term cost of utilities. The simulations restrict flexibility in order to offer users greater ease-of-use and speed. The tool can be quickly mastered by non-technical designers, and runs fast enough to allow them the scope to experiment with many different versions of a design during a single sitting. The immediate feedback that the site provides makes it useful in the conceptual phase of design, when architects cannot afford to invest large amounts of time to rule out any particular idea. The emphasis of the energy model is on the envelope system of the building, and includes simulations of high-technology windows such as double-skin facades.

8

Building Energy Software Tools Directory: EcoAdvisor  

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

EcoAdvisor EcoAdvisor EcoAdvisor logo. Interactive, online multimedia training and decision support tool for sustainable commercial buildings. EcoAdvisor is highly graphically oriented and highly interactive. When fully developed, it will engage the user via numerous animations and interactions such as mouse-overs, 'more info' drill-down options, radio button choices, sliders, drag-and-drop exercises, fill-in-the-blank exercises, and goal-oriented, problem-solving exercises. The current beta version contains several examples of graphic animations and user-interactions. Interactive multimedia is highly cost-effective compared with instructor-led learning for users can learn 40% faster than in classroom situations, and each user can learn at his/her own pace. Quizzes will be available for all course content, for at least one quiz

9

The Bayesian Advisor Project I: Modeling Academic Advising  

E-Print Network (OSTI)

The Bayesian Advisor Project I: Modeling Academic Advising Alex Dekhtyar, Judy Goldsmith, Huaizhi,goldsmit,hli3,brettg@cs.uky.edu, Abstract An academic advisor's job requires that the advisor knows university because the advisor has limited information about the student and because student performance can be in

Dekhtyar, Alexander

10

Building Design Advisor: Automated integration of multiple simulation tools K. Papamichael, J. LaPorta, H. Chauvet  

E-Print Network (OSTI)

LBNL-40591 Preprint Building Design Advisor: Automated integration of multiple simulation tools K Design Advisor (BDA) is a software environment that supports the integrated use of multiple analysis

11

NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)  

SciTech Connect

NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.

Not Available

2015-01-01T23:59:59.000Z

12

System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report  

SciTech Connect

The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.

Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.

2013-12-01T23:59:59.000Z

13

Geothermal: Sponsored by OSTI -- NREL's System Advisor Model...  

Office of Scientific and Technical Information (OSTI)

NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet) Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic...

14

System Advisor Model Includes Analysis of Hybrid CSP Option ...  

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

Several novel concepts related to power generation have been missing in the System Advisor Model (SAM). One such concept, until now, is a hybrid integrated solar combined-cycle...

15

System Advisor Model, SAM 2011.12.2: General Description  

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

System Advisor Model, System Advisor Model, SAM 2011.12.2: General Description Paul Gilman and Aron Dobos Technical Report NREL/TP-6A20-53437 February 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 System Advisor Model, SAM 2011.12.2: General Description Paul Gilman and Aron Dobos Prepared under Task No. SS12.1130 Technical Report NREL/TP-6A20-53437 February 2012 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

16

Comparison of Photovoltaic Models in the System Advisor Model: Preprint  

SciTech Connect

The System Advisor Model (SAM) is free software developed by the National Renewable Energy Laboratory (NREL) for predicting the performance of renewable energy systems and analyzing the financial feasibility of residential, commercial, and utility-scale grid-connected projects. SAM offers several options for predicting the performance of photovoltaic (PV) systems. The model requires that the analyst choose from three PV system models, and depending on that choice, possibly choose from three module and two inverter component models. To obtain meaningful results from SAM, the analyst must be aware of the differences between the model options and their applicability to different modeling scenarios. This paper presents an overview the different PV model options and presents a comparison of results for a 200-kW system using different model options.

Blair, N. J.; Dobos, A. P.; Gilman, P.

2013-08-01T23:59:59.000Z

17

GoPoMoSA: A Goal-Oriented Process Modeling and Simulation Advisor  

E-Print Network (OSTI)

and improvement. This paper presents GoPoMoSA (Goal-oriented Process Modeling and Simulation Advisor), a semi-automatedGoPoMoSA: A Goal-Oriented Process Modeling and Simulation Advisor Xu Bai and LiGuo Huang Dept and Simulation Advisor that semi-automatically discovers suitable Software Process Modeling and Simula- tion

Egyed, Alexander

18

Project Profile: System Advisor Model Enhancements for CSP  

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

Since the first public release, over 35,000 people representing manufacturers, project developers, academic researchers, and policy makers have downloaded the System Advisor Model (SAM). Manufacturers are using the model to evaluate the impact of efficiency improvements or cost reductions in their products on the cost of energy from installed systems. Project developers use SAM to evaluate different system configurations to maximize earnings from electricity sales. Policy makers and designers use the model to experiment with different incentive structures.

19

Wind Technology Modeling Within the System Advisor Model (SAM) (Poster)  

SciTech Connect

This poster provides detail for implementation and the underlying methodology for modeling wind power generation performance in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). SAM's wind power model allows users to assess projects involving one or more large or small wind turbines with any of the detailed options for residential, commercial, or utility financing. The model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs, and provides analysis to compare the absolute or relative impact of these inputs. SAM is a system performance and economic model designed to facilitate analysis and decision-making for project developers, financers, policymakers, and energy researchers. The user pairs a generation technology with a financing option (residential, commercial, or utility) to calculate the cost of energy over the multi-year project period. Specifically, SAM calculates the value of projects which buy and sell power at retail rates for residential and commercial systems, and also for larger-scale projects which operate through a power purchase agreement (PPA) with a utility. The financial model captures complex financing and rate structures, taxes, and incentives.

Blair, N.; Dobos, A.; Ferguson, T.; Freeman, J.; Gilman, P.; Whitmore, J.

2014-05-01T23:59:59.000Z

20

The Bayesian Advisor Project Alex Dekhytar and Judy Goldsmith  

E-Print Network (OSTI)

The Bayesian Advisor Project Alex Dekhytar and Judy Goldsmith Computer Science Dept. University Advisor Project will produce a variety of tools to au- tomate and support building stochastic models-rewarded part of many aca- demics' job descriptions. An advisor's job has two parts: knowing the course o#11

Goldsmith, Judy

Note: This page contains sample records for the topic "advisor model tool" 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

NREL: Energy Analysis - Models and Tools Archive  

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

Models and Tools Archive Models and Tools Archive Through the years, NREL has developed and supported several models and tools to assess, analyze, and optimize renewable energy and energy efficiency technologies. Some of these have been transferred to the private market. This page lists tools we have supported, but that are no longer active. See current models and tools here. ADVISOR (ADvanced VehIcle SimulatOR) Simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel cell vehicles. In 2003, ADVISOR was commercialized by AVL Powertrain Engineering, Inc. Hybrid2 Conduct detailed long-term performance and economic analysis on a wide variety of hybrid power systems. RET Finance Calculate the cost of energy of renewable electricity generation

22

Direct-Steam Linear Fresnel Performance Model for NREL's System Advisor Model  

SciTech Connect

This paper presents the technical formulation and demonstrated model performance results of a new direct-steam-generation (DSG) model in NREL's System Advisor Model (SAM). The model predicts the annual electricity production of a wide range of system configurations within the DSG Linear Fresnel technology by modeling hourly performance of the plant in detail. The quasi-steady-state formulation allows users to investigate energy and mass flows, operating temperatures, and pressure drops for geometries and solar field configurations of interest. The model includes tools for heat loss calculation using either empirical polynomial heat loss curves as a function of steam temperature, ambient temperature, and wind velocity, or a detailed evacuated tube receiver heat loss model. Thermal losses are evaluated using a computationally efficient nodal approach, where the solar field and headers are discretized into multiple nodes where heat losses, thermal inertia, steam conditions (including pressure, temperature, enthalpy, etc.) are individually evaluated during each time step of the simulation. This paper discusses the mathematical formulation for the solar field model and describes how the solar field is integrated with the other subsystem models, including the power cycle and optional auxiliary fossil system. Model results are also presented to demonstrate plant behavior in the various operating modes.

Wagner, M. J.; Zhu, G.

2012-09-01T23:59:59.000Z

23

Continuous Diagnostics Advisor | Open Energy Information  

Open Energy Info (EERE)

Continuous Diagnostics Advisor Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Continuous Diagnostics Advisor AgencyCompany Organization: Johnson Controls Sector:...

24

System Advisor Model, SAM 2014.1.14: General Description  

SciTech Connect

This document describes the capabilities of the U.S. Department of Energy and National Renewable Energy Laboratory's System Advisor Model (SAM), Version 2013.9.20, released on September 9, 2013. SAM is a computer model that calculates performance and financial metrics of renewable energy systems. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of photovoltaic, concentrating solar power, solar water heating, wind, geothermal, biomass, and conventional power systems. The financial model can represent financial structures for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (utility). SAM's advanced simulation options facilitate parametric and sensitivity analyses, and statistical analysis capabilities are available for Monte Carlo simulation and weather variability (P50/P90) studies. SAM can also read input variables from Microsoft Excel worksheets. For software developers, the SAM software development kit (SDK) makes it possible to use SAM simulation modules in their applications written in C/C++, C#, Java, Python, and MATLAB. NREL provides both SAM and the SDK as free downloads at http://sam.nrel.gov. Technical support and more information about the software are available on the website.

Blair, N.; Dobos, A. P.; Freeman, J.; Neises, T.; Wagner, M.; Ferguson, T.; Gilman, P.; Janzou, S.

2014-02-01T23:59:59.000Z

25

System Advisor Model, SAM 2011.12.2: General Description  

SciTech Connect

This document describes the capabilities of the U.S. Department of Energy and National Renewable Energy Laboratory's System Advisor Model (SAM), Version 2011.12.2, released on December 2, 2011. SAM is software that models the cost and performance of renewable energy systems. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of solar, wind, geothermal, biomass, and conventional power systems. The financial model can represent financing structures for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (utility). Advanced analysis options facilitate parametric, sensitivity, and statistical analyses, and allow for interfacing SAM with Microsoft Excel or with other computer programs. SAM is available as a free download at http://sam.nrel.gov. Technical support and more information about the software are available on the website.

Gilman, P.; Dobos, A.

2012-02-01T23:59:59.000Z

26

Student: ________________________________ Advisor: ________________________________  

E-Print Network (OSTI)

Student: ________________________________ Advisor: ________________________________ 1 University: ________________________________ Advisor: ________________________________ 2 Spring 2013 TA T Assoc. T Supervisor GSR Fellowship: ________________________________ Advisor: ________________________________ 3 RESEARCH (FROM FALL 2012 THROUGH SPRING 2013) (Use APA format

Loudon, Catherine

27

E-Print Network 3.0 - advisor model risk-reduction Sample Search...  

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

Search Powered by Explorit Topic List Advanced Search Sample search results for: advisor model risk-reduction Page: << < 1 2 3 4 5 > >> 1 Comparing Risk Reductions: On the...

28

Wind Technology Modeling Within the System Advisor Model (SAM...  

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

P. Gilman, J. Whitmore* National Renewable Energy Laboratory * Golden, Colorado OFFSHORE WINDPOWER 2014, Las Vegas, May 58, 2014 Model Basics Outputs and Advanced Analysis...

29

Sensitivity of Concentrating Solar Power Trough Performance, Cost and Financing with Solar Advisor Model  

SciTech Connect

A comprehensive solar technology systems analysis model, the Solar Advisor Model (SAM) was developed to support the federal R&D community and the solar industry. This model, developed by staff at NREL and Sandia National Laboratory, is able to model the costs, finances, and performance of concentrating solar power and photovoltaics (PV). Currently, parabolic troughs and concentrating PV are the two concentrating technologies modeled within the SAM environment.

Blair, N.; Mehos, M.; Christensen, C.

2008-03-01T23:59:59.000Z

30

Case Studies Comparing System Advisor Model (SAM) Results to Real Performance Data: Preprint  

SciTech Connect

NREL has completed a series of detailed case studies comparing the simulations of the System Advisor Model (SAM) and measured performance data or published performance expectations. These case studies compare PV measured performance data with simulated performance data using appropriate weather data. The measured data sets were primarily taken from NREL onsite PV systems and weather monitoring stations.

Blair, N.; Dobos, A.; Sather, N.

2012-06-01T23:59:59.000Z

31

Reference Manual for the System Advisor Model's Wind Power Performance Model  

SciTech Connect

This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

2014-08-01T23:59:59.000Z

32

Incorporation of NREL Solar Advisor Model Photovoltaic Capabilities with GridLAB-D  

SciTech Connect

This report provides a summary of the work updating the photovoltaic model inside GridLAB-D. The National Renewable Energy Laboratory Solar Advisor Model (SAM) was utilized as a basis for algorithms and validation of the new implementation. Subsequent testing revealed that the two implementations are nearly identical in both solar impacts and power output levels. This synergized model aides the system-level impact studies of GridLAB-D, but also allows more specific details of a particular site to be explored via the SAM software.

Tuffner, Francis K.; Hammerstrom, Janelle L.; Singh, Ruchi

2012-10-19T23:59:59.000Z

33

Sandia Modeling Tool Webinar  

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

Hosted by the Energy Department and Western Area Power Administration, this webinar will show attendees about what collaborative, stakeholder-driven modeling is and how the modeling tools and process developed by Sandia can be used in Indian Country.

34

Modeling Photovoltaic and Concentrating Solar Power Trough Performance, Cost, and Financing with Solar Advisor Model  

SciTech Connect

A comprehensive solar technology systems analysis model, the Solar Advisor Model (SAM), has been developed to support the federal R&D community and the solar industry by staff at the National Renewable Energy Laboratory (NREL) and Sandia National Laboratory. This model is able to model the finances, incentives, and performance of flat-plate photovoltaic (PV), concentrating PV, and concentrating solar power (specifically, parabolic troughs). The primary function of the model is to allow users to investigate the impact of variations in performance, cost, and financial parameters to better understand their impact on key figures of merit. Figures of merit related to the cost and performance of these systems include, but aren't limited to, system output, system efficiencies, levelized cost of energy, return on investment, and system capital and O&M costs. SAM allows users to do complex system modeling with an intuitive graphical user interface (GUI). In fact, all tables and graphics for this paper are taken directly from the model GUI. This model has the capability to compare different solar technologies within the same interface, making use of similar cost and finance assumptions. Additionally, the ability to do parametric and sensitivity analysis is central to this model. There are several models within SAM to model the performance of photovoltaic modules and inverters. This paper presents an overview of each PV and inverter model, introduces a new generic model, and briefly discusses the concentrating solar power (CSP) parabolic trough model. A comparison of results using the different PV and inverter models is also presented.

Blair, N.; Mehos, M.; Christensen, C.; Cameron, C.

2008-01-01T23:59:59.000Z

35

Advisor Resourcesi Advisor-Group Dynamic  

E-Print Network (OSTI)

Advisor Resourcesi Advisor- Group Dynamic A Mutually Beneficial Relationship Exists Between an Organization and its Advisor An advisor provides the group with: · A "sounding board", someone with whom or perspective · Easy access to campus connections The group provides the advisor with: · A unique opportunity

Sherrill, David

36

P50/P90 Analysis for Solar Energy Systems Using the System Advisor Model: Preprint  

SciTech Connect

To secure competitive financing for a solar energy generation project, the economic risk associated with interannual solar resource variability must be quantified. One way to quantify this risk is to calculate exceedance probabilities representing the amount of energy expected to be produced by a plant. Many years of solar radiation and metereological data are required to determine these values, often called P50 or P90 values for the level of certainty they represent. This paper describes the two methods implemented in the National Renewable Energy Laboratory's System Advisor Model (SAM) to calculate P50 and P90 exceedance probabilities for solar energy projects. The methodology and supporting data sets are applicable to photovoltaic, solar water heating, and concentrating solar power (CSP) systems.

Dobos, A. P.; Gilman, P.; Kasberg, M.

2012-06-01T23:59:59.000Z

37

Letter from the Advisor  

E-Print Network (OSTI)

of History Undergraduate Historical Journal AdvisorLetter from the Advisor I am immensely impressed by the

Mostern, Ruth

2014-01-01T23:59:59.000Z

38

NREL: TroughNet - Parabolic Trough Technology Models and Software Tools  

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

Technology Models and Software Tools Technology Models and Software Tools Here you'll find information about models and software tools used to analyze parabolic trough power plant technology. They include: Annual Simulation Solar Advisor Model TRNSYS Other Analysis SolTRACE Receiver Model DView JEDI Annual Simulation Software Because solar power plants rely on an intermittent fuel supply-the sun-it is necessary to model the plant's performance on an hourly (or finer resolution) basis to understand and predict its annual performance. A number of performance and economics models are available for evaluating parabolic trough solar technologies. Industry also has developed a number of proprietary models for evaluating parabolic trough plants. Solar Advisor Model NREL, partnering with the U.S. Department of Energy's Solar Energy

39

Modeling Photovoltaic and Concentrating Solar Power Trough Performance, Cost, and Financing with the Solar Advisor Model: Preprint  

SciTech Connect

A comprehensive solar technology systems analysis model, the Solar Advisor Model (SAM), has been developed to support the federal R&D community and the solar industry by staff at the National Renewable Energy Laboratory (NREL) and Sandia National Laboratory. This model is able to model the finances, incentives, and performance of flat-plate photovoltaic (PV), concentrating PV, and concentrating solar power (specifically, parabolic troughs). The primary function of the model is to allow users to investigate the impact of variations in performance, cost, and financial parameters to better understand their impact on key figures of merit. Figures of merit related to the cost and performance of these systems include, but aren't limited to, system output, system efficiencies, levelized cost of energy, return on investment, and system capital and O&M costs. There are several models within SAM to model the performance of photovoltaic modules and inverters. This paper presents an overview of each PV and inverter model, introduces a new generic model, and briefly discusses the concentrating solar power (CSP) parabolic trough model. A comparison of results using the different PV and inverter models is also presented.

Blair, N.; Mehos, M.; Christensen, C.; Cameron, C.

2008-05-01T23:59:59.000Z

40

Academic Advising Academic Advisor  

E-Print Network (OSTI)

Academic Advising Academic Advisor Your academic advisor is a staff member who works closely with you and your team faculty. He or she is your "official advisor" for both semesters of the academic year. You should talk over important academic decisions and plans with your advisor. You will meet your

Goldberg, Bennett

Note: This page contains sample records for the topic "advisor model tool" 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

Fifth Floor Student Advisor  

E-Print Network (OSTI)

Bathroom Bathroom Bathroom 5106 5107 5108 5109 Student Advisor Bathroom Bathroom 5110 5111 5112 5113 5206 5208 5207 5209 Bathroom Bathroom 5210 Student Advisor 5211 5301 5303 5305 5307 5302 5304 5309 5411 5018 Restroom 5016 Lounge 5017 Kitchen 5015 Data Closet Elevator 54085406 54095407 Student Advisor

Gering, Jon C.

42

Student Name: Advisor Name  

E-Print Network (OSTI)

Student Name: Advisor Name: Date: This form may be submitted for notification related to either * Thesis Advisor Committee Member * EAPS faculty member within program area Committee Member [optional proposal to your committee for approval. Their acceptance of your proposal is indicated by your advisor

Rothman, Daniel

43

Third Floor Student Advisor  

E-Print Network (OSTI)

Bathroom Bathroom Bathroom 3106 3107 3108 3109 Student Advisor Bathroom Bathroom 3110 3111 3112 3113 3206 3208 3207 3209 Bathroom Bathroom 3210 Student Advisor 3211 3301 3303 3305 3307 3302 3304 3309 3411 3018 Restroom 3016 Lounge 3017 Kitchen 3015 Mechanical Elevator 34083406 34093407 Student Advisor

Gering, Jon C.

44

Fourth Floor Student Advisor  

E-Print Network (OSTI)

Bathroom Bathroom Bathroom 4106 4107 4108 4109 Student Advisor Bathroom Bathroom 4110 4111 4112 4113 4208 4207 4209 Bathroom Bathroom 4210 Student Advisor 4211 4301 4303 4305 4307 4302 4304 4309Bathroom Restroom 4016 Lounge 4017 Kitchen Elevator 44084406 44094407 Student Advisor Bathroom Bathroom 44044402

Gering, Jon C.

45

DOE Hydrogen Analysis Repository: Advanced Vehicle Simulator (ADVISOR)  

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

Advanced Vehicle Simulator (ADVISOR) Advanced Vehicle Simulator (ADVISOR) Project Summary Full Title: Advanced Vehicle Simulator (ADVISOR) Project ID: 108 Principal Investigator: Matthew Thornton Brief Description: ADVISOR is used to simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel cell vehicles. Keywords: Hybrid electric vehicles (HEV); vehicle characteristics; vehicle performance; fuel consumption Purpose ADVISOR was designed as an analysis tool to assist the DOE in developing and understanding hybrid electric vehicles through the Hybrid Vehice Propulsion Systems contracts with Ford, GM, and DaimlerChrysler. Performer Principal Investigator: Matthew Thornton Organization: National Renewable Energy Laboratory (NREL) Address: 1617 Cole Blvd.

46

Advisor: Kate Scholberg  

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

2011 Simulation Studies of the HALO Detector Advisor: Kate Scholberg The HALO (Helium and Lead Observatory) detector is under construction at SNOlab in Sudbury, Canada. This...

47

Undergraduate Advisors in Mathematics  

E-Print Network (OSTI)

Each college at Purdue has a counseling office with academic advisors who can answer questions about academic degree requirements and procedures.

48

Intel Advisor XE  

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

Advisor XE 2013 Threading Assistant Copyright 2012, Intel Corporation. All rights reserved. *Other brands and names are the property of their respective owners. Simplify and...

49

For office use only: Advisor: ___  

E-Print Network (OSTI)

For office use only: Advisor: ___ Mailbox: ___ Reservations: ___ Senate: ___ University_Club Sports Club Sports Advisor Signature _________________________ Date: ________________________ (Needed obtain a signature from an advisor from the responsible office: Club Sport: Office of Athletics

Mahon, Bradford Z.

50

What's Inside: ADVISOR: One who advises  

E-Print Network (OSTI)

1 Advisor Manual What's Inside: ADVISOR: One who advises another, especially officially determined the need for a "standardized" Advisor Manual that would be available online for advisors members, advisors, and student affairs pro- fessionals who contributed feedback and resources. Every

51

Peer review presentation on systems performance modeling and solar advisor support.  

SciTech Connect

Accurate Performance Models are Critical to Project Development and Technology Evaluation - Accuracy and Uncertainty of Commonly-Used Models Unknown and Models Disagree. A Model Evaluation Process Has Been Developed with Industry, and High-Quality Weather and System Performance Data Sets Have Been Collected: (1) Evaluation is Underway using Residual Analysis of Hourly and Sub-Hourly Data for Clear and Diffuse Climates to Evaluate and Improve Models; and (2) Initial Results Have Been or Will Soon Be Presented at Key Conferences. Evaluation of Widely-Used Module, Inverter, and Irradiance Models, Including Those in SAM, PVWatts, and PVSyst, Will Be Completed This Year. Stochastic Modeling Has Been Performed to Support Reliability Task and Will Add Value to Parametric Analysis. An Industry Workshop will be Held This Fall To Review Results, Set Priorities. Support and Analysis has been Provided for TPP's, SETP, and PV Community. Goals for Future Work Include: (1) Improving Understanding of and Validating System Derate Factors; and (2) Developing a Dynamic Electrical Model of Arrays with Shaded or Mismatched Modules to Support Transient Analysis of Large Fields.

Cameron, Christopher P.

2010-05-01T23:59:59.000Z

52

Abstract LB-43: Community health advisors: a model in community outreach and health education  

Science Journals Connector (OSTI)

...meeting-abstract Advocate Presentations Poster Presentations - Proffered Abstracts Poster Presentations - Advocates Poster Session Proceedings: AACR 103rd Annual...model in community outreach and health education Brenda M. Kyles 1 1Shelby County Health...

Brenda M. Kyles

2012-06-04T23:59:59.000Z

53

Leveraging Model-Based Tool Integration by Conceptual Modeling Techniques  

Science Journals Connector (OSTI)

In the context of model-based tool integration, model transformation languages are the first choice for realizing model exchange between heterogenous tools. However, the lack of a conceptual view on the integr...

Gerti Kappel; Manuel Wimmer; Werner Retschitzegger

2011-01-01T23:59:59.000Z

54

Leveraging model-based tool integration by conceptual modeling techniques  

Science Journals Connector (OSTI)

In the context of model-based tool integration, model transformation languages are the first choice for realizing model exchange between heterogenous tools. However, the lack of a conceptual view on the integration problem and appropriate reuse mechanisms ...

Gerti Kappel; Manuel Wimmer; Werner Retschitzegger; Wieland Schwinger

2011-01-01T23:59:59.000Z

55

ULTRANS BOARD OF ADVISORS Biographies  

E-Print Network (OSTI)

ULTRANS BOARD OF ADVISORS Biographies GREGG ALBRIGHT California Business, Transportation moved to Sacramento. #12;ULTRANS Board of Advisors Biographies ULTRANS BOA Meeting Page 2 September 23, and Papers in Regional Science. DALE BONNER Cal-Infra Advisors, INC. Dale Bonner is founder of Cal

California at Davis, University of

56

TOM NEDOROST FACULTY ADVISOR  

E-Print Network (OSTI)

Team, and is the faculty advisor for Hack@UCF. Dr. Nedorost lauds the team's success. "Seeing a team at the University of Central Florida (also known as Hack@UCF). In just two years, the team has won the 2013 and 2014, spyware and other malicious hacking methods. As the threats are presented, the team responds as they would

Stanley, Kenneth O.

57

DOE International Energy Advisors  

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

DOEs Office of Electricity Delivery and Energy Reliability's (OE) Infrastructure Security and Energy Restoration Division (ISER) has coordinated and executed interagency support agreements with five of the geographic Combatant Commands to assign a DOE representative a DOE Energy Advisor to each of their headquarters.

58

Autonomie Modeling Tool Improves Vehicle Design and Testing,...  

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

Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel...

59

Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...  

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

Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's...

60

Optical Diagnostics and Modeling Tools Applied to Diesel HCCI...  

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

Optical Diagnostics and Modeling Tools Applied to Diesel HCCI Optical Diagnostics and Modeling Tools Applied to Diesel HCCI 2002 DEER Conference Presentation: Caterpillar Engine...

Note: This page contains sample records for the topic "advisor model tool" 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

MSU Faculty Advisor's Checklist Prepping for Advising  

E-Print Network (OSTI)

MSU Faculty Advisor's Checklist Prepping for Advising ? Read the Advising chapter in the New Faculty Handbook and "Reminders for Advisors" flyer. ? Get to know the Advisor's Toolkit. ? Look over semester (in Advisor's Toolkit). ? Become familiar with Advisor Dashboard (MyInfo>Secure Area

Dyer, Bill

62

Academic Advisor's Recommendation for Extension of Time in F-1 Status Academic Advisor: This form facilitates communication of certain information required by the  

E-Print Network (OSTI)

Academic Advisor's Recommendation for Extension of Time in F-1 Status Academic Advisor: This form Advisor's Signature: _____________________________________________________________ Academic Advisor's Name

Rock, Chris

63

Advisor's Handbook ASFC Forestry Conclave  

E-Print Network (OSTI)

1 Advisor's Handbook 55th Annual ASFC Forestry Conclave March 16-18, 2012 Centennial Campus North ................................................................................................................................ 14 Physical Events Archery

Buckel, Jeffrey A.

64

ja_post_advisors_batch Page 1 Posting Advisors in Batch  

E-Print Network (OSTI)

ja_post_advisors_batch Page 1 Posting Advisors in Batch Validate that the student does not have the `new' advisor posted. For example, this student currently has one advisor (Advisor Type = ADVR) Alice Turner. Navigation Path: Records and Enrollment ­ Student Background Information ­ Student Advisor Upload

65

Advisor's name: ______________________________________ SPRING 2014 SOJ ADVISING SURVEY  

E-Print Network (OSTI)

Advisor's name: ______________________________________ SPRING 2014 SOJ ADVISING SURVEY appointments to see your advisor? _________Current online scheduler _________A new online scheduling system would you like to meet with your advisor? _________Once per month _________Once per semester

Mohaghegh, Shahab

66

INDIANA UNIVERSITY William Sherman Senior Technology Advisor...  

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

INDIANA UNIVERSITY William Sherman Senior Technology Advisor, Indiana University William Sherman is a senior technical advisor at Indiana University. He is the scientific...

67

Models and Tools for Evaluating Energy Efficiency and Renewable...  

Energy Savers (EERE)

and Tools for Evaluating Energy Efficiency and Renewable Energy Project Opportunities Models and Tools for Evaluating Energy Efficiency and Renewable Energy Project Opportunities...

68

American Studies Graduate Program Advisor Form  

E-Print Network (OSTI)

American Studies Graduate Program Advisor Form Thank you for your interest in the American Studies must first secure an advisor in order to be considered for admission. The first-year advisor can, American Studies is not in a position to assign faculty to serve as advisors. It is, therefore

Dyer, Bill

69

Updated January 2013 List of Faculty Advisors  

E-Print Network (OSTI)

Updated January 2013 List of Faculty Advisors Note: While this list will change over time, you may keep the advisor originally assigned to you unless that advisor is not here (on leave or retired or has of the faculty advisors listed here or Rocio Avila, please refer to the CS Department Advising Flowchart at www

Eirinaki, Magdalini

70

COMMUNITY ADVISOR JOB DESCRIPTION General Statement  

E-Print Network (OSTI)

COMMUNITY ADVISOR JOB DESCRIPTION General Statement Community Advisors are members for their area and the Head Resident. Community Advisors are responsible for meeting the needs of their woodframe is beyond a Community Advisor's level of comfort and competence and refer students to as many resources

Royer, Dana

71

Tips and Resources for Truman Organizational Advisors  

E-Print Network (OSTI)

Tips and Resources for Truman Organizational Advisors Presented by: Iliyana Kuneva, Student Assistant Center for Student Involvement #12;Overview · What Students Need from You as Advisors · Advising Styles · Tips to be a Successful Advisor · Advisors on Truman's Campus · CSI Resources · Student Union

Gering, Jon C.

72

Resident Advisor Position Description Occupational Summary  

E-Print Network (OSTI)

Resident Advisor Position Description Occupational Summary The Resident Advisor (RA) is assigned and Residence Hall policies. The Resident Advisor provides programming based on an assessment of the community and individual needs. The responsibilities of the Resident Advisor position are implemented under the supervision

Bogaerts, Steven

73

Updated June 2014 List of Faculty Advisors  

E-Print Network (OSTI)

Updated June 2014 List of Faculty Advisors Note: While this list will change over time, you may keep the advisor originally assigned to you unless that advisor is not here (on leave or retired or has of the faculty advisors listed here or COSAC, please refer to the CS Department Advising Flowchart at www.cs.sjsu

Su, Xiao

74

Updated August 2013 List of Faculty Advisors  

E-Print Network (OSTI)

Updated August 2013 List of Faculty Advisors Note: While this list will change over time, you may keep the advisor originally assigned to you unless that advisor is not here (on leave be seeing one of the faculty advisors listed here or Rocio Avila, please refer to the CS Department

Su, Xiao

75

Community Advisor Position Description Occupational Summary  

E-Print Network (OSTI)

Community Advisor Position Description Occupational Summary The Community Advisor (CA) is a full success; personal growth; and responsible citizenship. Terms of Appointment The Community Advisor position Monday, May 12, 2014 (5:00pm). Eligibility The Community Advisor must be a full-time student

Bogaerts, Steven

76

Organizational Advisor Agreement I, __________________ as the faculty advisor for the organization, ____________________, understand  

E-Print Network (OSTI)

Organizational Advisor Agreement I, __________________ as the faculty advisor for the organization: _____________________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ Note: The association between an advisor and his/her organization should continue as long as both no longer exists, the advisor should resign and/or request a replacement. Student Organization Advisor

Gering, Jon C.

77

Sandia National Laboratories: open source WEC modeling tool  

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

open source WEC modeling tool Sandia, NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim On July 29, 2014, in Computational Modeling & Simulation, Energy,...

78

NREL: Technology Deployment - Models and Tools  

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

Scenario Tool (CSST) provides a "first cut" analysis of different community or shared solar program options. The tool has been created primarily with smaller municipal...

79

When to See an Advisor (Or Not) You should see an advisor for  

E-Print Network (OSTI)

When to See an Advisor (Or Not) You should see an advisor for: Assigning transfer equivalencies) You do NOT Need to see an advisor for: Declaring the major ­ see procedures at http://www2.binghamton

Suzuki, Masatsugu

80

Amigo Bob Cantisano: Organic Farming Advisor, Founder, Ecological Farming Conference  

E-Print Network (OSTI)

Grandpa was your only farm advisor. Cantisano: Yes, really.Holt Organic Farming Advisor Founder, Eco-Farm Conferenceonly independent organic farming advisor on the West Coast.

Rabkin, Sarah

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advisor model tool" 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

ADVISOR (ADvanced VehIcle SimulatOR) | Open Energy Information  

Open Energy Info (EERE)

ADVISOR (ADvanced VehIcle SimulatOR) ADVISOR (ADvanced VehIcle SimulatOR) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: ADVISOR (ADvanced VehIcle SimulatOR) Focus Area: Fuel Economy Topics: System & Application Design Website: sourceforge.net/projects/adv-vehicle-sim/ Equivalent URI: cleanenergysolutions.org/content/advisor-advanced-vehicle-simulator Language: English Policies: Regulations Regulations: Fuel Efficiency Standards This tool, originally developed by the National Renewable Energy Laboratory (NREL), allows users to simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel cell vehicles. The tool allows users to assess the effect of changes in vehicle components (such as motors, batteries, catalytic converters, climate control systems,

82

Division of Medical Sciences DISSERTATION ADVISOR DECLARATION FORM  

E-Print Network (OSTI)

Division of Medical Sciences DISSERTATION ADVISOR DECLARATION FORM STEP 1 ­ To be completed research project/ topic: Name of Proposed Dissertation Advisor ­ To be completed by Dissertation Advisor Advisor's Name

Bulyk, Martha L.

83

Northwinds Advisors LLC | Open Energy Information  

Open Energy Info (EERE)

Advisors LLC Place: New York, New York Zip: NY 10017 Sector: Renewable Energy Product: Advisor to renewable companies on North American M&A opportunities as well as to builders to...

84

OSU Council of Head Advisors Spring 2006 OSU Advisor-Advisee Responsibilities  

E-Print Network (OSTI)

OSU Council of Head Advisors ­ Spring 2006 OSU Advisor-Advisee Responsibilities As an advisee, you accurate and truthful information when being advised. Initiate a purposeful relationship with your advisor during advising sessions. Your advisor should: Develop a purposeful relationship with and be an advocate

Escher, Christine

85

Title: Academic Advisor Employment Type: Administrative Professional  

E-Print Network (OSTI)

Title: Academic Advisor Employment Type: Administrative Professional College: Engineering is seeking a full time academic advisor to collaborate with faculty and ECE staff to coordinate and advise faculty, 250 undergraduate students and 150 graduate students. The advisor will work closely together

86

Major/Conce ntration Advisor Grad  

E-Print Network (OSTI)

Name TITLE Major/Conce ntration Advisor Grad Abhishek Sharma Computer Science g Addie Evans. Hamid Shahnasser g #12;Name TITLE Major/Conce ntration Advisor Grad Bita Nosratieh Convexity of Domains Mathematics Dr. Alex Schuster g #12;Name TITLE Major/Conce ntration Advisor Grad David Newstrom The Role

87

CAFLS Departmental Advisor List (March 2008)  

E-Print Network (OSTI)

CAFLS Departmental Advisor List (March 2008) Dean Dr. Alan Sams 656-7551 asams@clemson.edu 101 Advisor) AGRICULTURAL AND APPLIED ECONOMICS Dr. Charlie Curtis 656-5781 ccurtis@clemson.edu 264 Barre Hall (Lead Advisor) Ms. Lynn Fowler 656-3225 lfwlr@clemson.edu 224 Barre Hall (Lead Administrative Assistant

Bolding, M. Chad

88

Name _____________________________ Semester Student Enrolled ____________________ Advisor: ___________________________ Degree ___________________________________  

E-Print Network (OSTI)

Name _____________________________ Semester Student Enrolled ____________________ Advisor holding a Doctorate degree; 2. the chair (advisor) must be NRESS faculty; 3. 3 members, including chair. and off-campus members must hold a Doctorate degree and be approved by the student's advisor, the NRESS

Pringle, James "Jamie"

89

Spring 2013 International Peer Advisor Application  

E-Print Network (OSTI)

Spring 2013 International Peer Advisor Application Are you interested in being a part of the Spring 2013 New International Student Orientations as an International Peer Advisor? Complete the attached Arrival Orientation Duties of an International Peer Advisor: · Meet new international students · Help

Texas at Arlington, University of

90

Major/Concen tration Advisor Grad  

E-Print Network (OSTI)

Name TITLE Major/Concen tration Advisor Grad Archer, H. M., Sekercioglu, C. H. Mendenhall, C. Carmen R. Domingo g #12;Name TITLE Major/Concen tration Advisor Grad Henry Hunter Confirmation Major/Concen tration Advisor Grad Meghan Bishop DIet and food webs of the California red-legged frog

91

IB Peer Advisor Application Dear Applicant,  

E-Print Network (OSTI)

IB Peer Advisor Application 2014-2015 Dear Applicant, Thank you for your interest in being an IB Peer Advisor for the 2014-15 academic year. These positions provide valuable opportunities for students all of the components of the peer advisor position before applying, · a one page application form

California at Berkeley, University of

92

New Framework Transforms FAST Wind Turbine Modeling Tool (Fact Sheet)  

SciTech Connect

A recent overhaul of the tool makes it a powerful, robust, and flexible modeling software to aid the development of innovative wind and water power technologies.

Not Available

2014-04-01T23:59:59.000Z

93

Improvements to building energy usage modeling during early design stages and retrofits  

E-Print Network (OSTI)

A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

Mandelbaum, Andrew (Andrew Joseph)

2014-01-01T23:59:59.000Z

94

c://active/forms/ADVISOR_COADVISOR 9/3/2010 12:06 PM mef GRADUATE STUDENT ADVISOR/CO-ADVISOR FORM  

E-Print Network (OSTI)

c://active/forms/ADVISOR_COADVISOR 9/3/2010 12:06 PM mef GRADUATE STUDENT ADVISOR/CO-ADVISOR FORM Policy: Co-advisors for Physics Ph.D. Students Working with Faculty Outside of Physics/AP/SLAC Physics-related program in a different department, with a research advisor who is not a member of the Physics Department

Wechsler, Risa H.

95

Capitaline Advisors LLC | Open Energy Information  

Open Energy Info (EERE)

Capitaline Advisors LLC Capitaline Advisors LLC Jump to: navigation, search Name Capitaline Advisors LLC Place Sioux Falls, South Dakota Sector Renewable Energy Product Private equity firm based in Sioux Falls, focusing on bioethanol and renewable energy investments. References Capitaline Advisors LLC[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Capitaline Advisors LLC is a company located in Sioux Falls, South Dakota . References ↑ "Capitaline Advisors LLC" Retrieved from "http://en.openei.org/w/index.php?title=Capitaline_Advisors_LLC&oldid=343219" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages

96

Quadrant Capital Advisors Inc | Open Energy Information  

Open Energy Info (EERE)

Quadrant Capital Advisors Inc Quadrant Capital Advisors Inc Jump to: navigation, search Name Quadrant Capital Advisors Inc. Place New York, New York Zip 10022 Sector Hydro, Wind energy Product US based Private Equity investor in small hydro and wind, mostly in LatAm. References Quadrant Capital Advisors Inc.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Quadrant Capital Advisors Inc. is a company located in New York, New York . References ↑ "Quadrant Capital Advisors Inc." Retrieved from "http://en.openei.org/w/index.php?title=Quadrant_Capital_Advisors_Inc&oldid=350132" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes

97

Enabling tool reuse and interoperability through model-driven engineering  

Science Journals Connector (OSTI)

Software components provide a wide range of functionality that can be used across several domains. In some cases, reuse at a very coarse level of granularity (e.g., reusing functionality provided within an existing tool) is desirable, but challenging ... Keywords: Domain-specific modeling, model transformation, tool interoperability

Zekai Demirezen; Yu Sun; Jeff Gray; Frdric Jouault

2010-09-01T23:59:59.000Z

98

APPLYING ACTIVITY PATTERNS FOR DEVELOPING AN INTELLIGENT PROCESS MODELING TOOL  

E-Print Network (OSTI)

attracting the interest of both BPM researchers and BPM tool vendors. Frequently, process models can Process Management (BPM) tools as well as emerging patterns for process modeling and change. BPM processes of an enterprise. Moreover, through Web service technology, the benefits of BPM can be created

Ulm, Universität

99

Will I have enough money in retirement? There's an easy way to find out. Use the online Financial Engines Investment ADVISOR  

E-Print Network (OSTI)

Financial Engines Investment ADVISOR® SERVICE tool, at no charge to you, to create a picture of your current? For help in navigating the ADVISOR SERVICE tool, see the screenshots on the following pages. How does it work? The ADVISOR SERVICE offers you easy-to-use, step-by-step solutions and sound, objective guidance

Fernandez, Eduardo

100

Tools  

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

The Federal Energy Management Program (FEMP) compiles online tools to help agencies estimate energy savings.

Note: This page contains sample records for the topic "advisor model tool" 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

NREL: Transportation Research - Data, Models, and Tools  

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

fuel providers, and other transportation decision-makers reduce petroleum use. CoolSim HVAC Model Heating, ventilating, and air conditioning (HVAC) model that solves energy,...

102

Undergraduate Education DECLARATION OF MAJOR(S) / CHANGE OF ADVISOR  

E-Print Network (OSTI)

Undergraduate Education DECLARATION OF MAJOR(S) / CHANGE OF ADVISOR For Liberal Arts Students Updated 7/31/2014 Please inform your previous advisor(s) of any major or advisor changes prior A MAJOR I am declaring a major in ________________________________________________ Major advisor

Dennett, Daniel

103

Cora Capital Advisors LLC | Open Energy Information  

Open Energy Info (EERE)

investment bank and financial advisory firm focused on the renewable energy and clean technology sectors. References: Cora Capital Advisors LLC1 This article is a stub....

104

REMES Tool-chain A Set of Integrated Tools for Behavioral Modeling and Analysis of Embedded  

E-Print Network (OSTI)

components, (ii) a REMES simulator to test timing and resource behavior prior to formal analysis, and (iii and Subject Descriptors I.6.4 [Computing Methodologies]: Simulation and Modeling-- Model Validation and Analysis; D.2.2 [Software Engineering]: Design Tool and Techniques General Terms Design, Performance

Becker, Steffen

105

Selecting and Training U.S. Advisors: Interpersonal Skills and the Advisor-Counterpart Relationship  

E-Print Network (OSTI)

countries." The role of the U.S. advisor is critical to empower our partners, and U.S. advisors being drawn from the conventional force is an enduring mission. Typically, U.S. advisors were drawn from the Special Forces community; however, the demand...

Phelps, Christopher Ely

2009-04-24T23:59:59.000Z

106

Organization Advisor Type Name Email Address Alpha Delta Pi Chapter Advisor Allison Thompson aburkethompson@hotmail.com  

E-Print Network (OSTI)

Organization Advisor Type Name Email Address Alpha Delta Pi Chapter Advisor Allison Thompson aburkethompson@hotmail.com Alpha Delta Pi On-Campus Advisor Kendra Stewart stewartk@cofc.edu Alpha Epsilon Pi Chapter Advisor Andrew London andrewlondon@london.com Alpha Epsilon Pi On-Campus Advisor Marsha Alterman

Young, Paul Thomas

107

A Repository for Beyond-the-Standard-Model Tools  

SciTech Connect

To aid phenomenological studies of Beyond-the-Standard-Model (BSM) physics scenarios, a web repository for BSM calculational tools has been created. We here present brief overviews of the relevant codes, ordered by topic as well as by alphabet.

Skands, P.; /Fermilab; Richardson, P.; Allanach, B.C.; Baer, H.; Belanger, G.; El Kacimi, M.; Ellwanger, U.; Freitas, A.; Ghodbane, N.; Goujdami, D.; Hahn, T.; Heinemeyer,; Kneur, J.-L.; Landsberg, G.; Lee, J.S.; Muhlleitner, M.; Ohl, T.; Perez, E.; Peskin, M.; Pilaftsis, A.; Plehn, T.

2005-05-01T23:59:59.000Z

108

Bioinformatics Challenges to Computer Science: Bioinformatics Tools and Biomedical Modeling  

Science Journals Connector (OSTI)

The second edition of the workshop on Bioinformatics Challenges to Computer Science aimed to discuss the gap between bioinformatics tools and biomedical simulation and modeling. This short paper summarizes th...

Mario Cannataro; Rodrigo Weber dos Santos

2009-01-01T23:59:59.000Z

109

Building Design Advisor: An Integrated Decision-Making Environment  

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

Building Design Advisor: An Integrated Decision-Making Environment Building Design Advisor: An Integrated Decision-Making Environment Speaker(s): Vineeta Pal Date: July 26, 2001 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Satkartar K. Kinney To make informed decisions about the design, construction and operation of a building, it is necessary to predict and evaluate the impact of these decisions on the performance of the building. Each of these decisions impacts the performance of the building in a number of different and inter-related ways. Therefore, a computational environment that seeks to support this decision-making process needs to enable the prediction and evaluation of different aspects of building performance. Several stand-alone computer tools are currently available, each of which addresses a particular aspect of the building performance. The Building Design

110

NUIN Individual Development Plans (IDP) Student Matriculation Year Advisor Date  

E-Print Network (OSTI)

NUIN Individual Development Plans (IDP) Student Matriculation Year Advisor Date Progress during: Summary of Coursework Progress (The Advisor should complete this section) Student's progress in this area): #12;Summary of Research Progress (The Advisor should complete this section) Student's progress

Contractor, Anis

111

Cooperative Education --Curricular Practical Training Academic Advisor's Recommendation  

E-Print Network (OSTI)

Cooperative Education -- Curricular Practical Training Academic Advisor's Recommendation: __________________________________ Academic Advisor's Certification: I hereby certify that I have read the job offer letter and consider recommend the student for Curricular Practical Training. Please check one: As the student's Faculty Advisor

Buehrer, R. Michael

112

John Melendy: Santa Cruz County Farm Advisor, 1947-1976  

E-Print Network (OSTI)

Santa Cruz County Farm Advisor: Early Life page 6 Knaster: ISanta Cruz County Farm Advisor: Early Life page 9 matter ofSanta Cruz County Farm Advisor: Early Life page 11 Melendy:

regional History Project, UCSC Library; Melendy, John; Knaster, Meri; Reti, Irene

2004-01-01T23:59:59.000Z

113

New Modeling Tools for Energy Markets Chung-Li Tseng  

E-Print Network (OSTI)

EDITORIAL New Modeling Tools for Energy Markets Chung-Li Tseng Special Editor The electricity to the quantitative models for dealing with impacts of these changes on energy market modeling. The four papers in this issue provide a broad range of applications in energy markets. The first special issue addressed

Tseng, Chung-Li

114

3D Engineered Models for Construction Support & Available Tools  

E-Print Network (OSTI)

3D Engineered Models for Construction Support & Available Tools #12;3D Engineered Models for Construction · New web page www.fhwa.dot.gov/3d (search "fhwa 3D") ­ Specs, Standards, Details, Tech Briefs ­ Provides initial response within 24 hours of inquiry National Website and TSSC 2 #12;3D Engineered Models

115

Modeling Tools for Solid Oxide Fuel Cell Analysis  

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

Tools for Solid Oxide Fuel Tools for Solid Oxide Fuel Cell Design and Analysis Moe A Khaleel BJ Koeppel, W Liu, K Lai, KP Recknagle, EM Ryan, EV Stephens, X Sun Pacific Northwest National Laboratory Richland, WA 99352 11 th Annual SECA Workshop Pittsburgh, PA July 27-29, 2009 1 PNNL SOFC Modeling Tools SOFC-MP Stack level model for fast analysis of co/counter-flow SOFC stack performance Detailed electrochemistry model Cell level model for the investigation of secondary reactions (degradation/contamination) mechanisms within the tri-layer Component-based design and performance modeling Contact material Interconnect Glass seal 2 SOFC-MP Stack Simulation Code Recent Accomplishments Major memory improvements of 3D model to accommodate 50-cell stacks on LINUX platform. Previously, developed a 2D (or stacked

116

This form is designed to help advisors and officers determine the role of advisors in student organizations. Directions: The advisor and each officer should respond to the following  

E-Print Network (OSTI)

Checklist This form is designed to help advisors and officers determine the role of advisors in student organizations. Directions: The advisor and each officer should respond to the following items not to be the responsibility of the advisor, it would be valuable to clarify which officer will assume that responsibility

Mohanty, Saraju P.

117

Senior Advisor Huizenga's Written Statement before the House...  

Office of Environmental Management (EM)

Senior Advisor Huizenga's Written Statement before the House Energy and Water Development Subcommittee on Appropriations (March 21, 2012) Senior Advisor Huizenga's Written...

118

Christina Behr-Andres named science advisor to governor  

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

Science advisor to governor Christina Behr-Andres named science advisor to governor Behr-Andres will aid indevelopment and promotion of science and technology policies for economic...

119

Assistant Secretary Cathy Zoi and Senior Advisor Matt Rogers...  

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

Assistant Secretary Cathy Zoi and Senior Advisor Matt Rogers to Participate in Platts Energy Reporter Roundtable Assistant Secretary Cathy Zoi and Senior Advisor Matt Rogers to...

120

DB Climate Change Advisors DBCCA | Open Energy Information  

Open Energy Info (EERE)

DB Climate Change Advisors DBCCA Jump to: navigation, search Name: DB Climate Change Advisors (DBCCA) Place: New York, New York Product: New York-based climate change investement...

Note: This page contains sample records for the topic "advisor model tool" 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

Academic Advisor Appeal Questionnaire To be submitted as part of Financial Aid Appeal Process  

E-Print Network (OSTI)

Academic Advisor Appeal Questionnaire To be submitted as part of Financial Aid Appeal Process: ________________________________________ THE FOLLOWING IS TO BE COMPLETED BY THE ACADEMIC ADVISOR PRIOR TO FINANCIAL AID APPEAL MEETING Advisor Name: __________________________________ Department: __________________________________ Advisor Telephone: ______________________________ Advisor E

122

A comparative analysis of two PEM fuel cell modeling tools  

E-Print Network (OSTI)

A comparative analysis of two PEM fuel cell modeling tools M.L. Sarmiento-Carnevali*1 , S. Strahl1-electrolyte- membrane (PEM) fuel cells, Energy, 33(9): 1331-1352, 2008. [2] M. Mangold, A. Bück, and R. Hanke-Rauschenbach, Passivity based control of a distributed PEM fuel cell model, Journal of Process Control, 20(3): 292

Batlle, Carles

123

"Leveraging University Expertise to Inform Better Policy" Research Advisor Approval -If the brief preparer is a student or postdoc, please have the research advisor (PI, major  

E-Print Network (OSTI)

"Leveraging University Expertise to Inform Better Policy" Research Advisor Approval - If the brief preparer is a student or postdoc, please have the research advisor (PI, major advisor, etc

California at Davis, University of

124

Building Energy Software Tools Directory: DOE Sponsored Tools  

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

DOE Sponsored Tools DOE Sponsored Tools The Department of Energy sponsors continued development of a variety of building energy software tools. See the following for more information about software tools now under development: Whole-Building Energy Performance Simulation EnergyPlus A new-generation building energy simulation program from the creators of BLAST and DOE-2. DOE-2 An hourly, whole-building energy analysis program which calculates energy performance and life-cycle cost of operation. The current version is DOE-2.1E. Building Design Advisor Provides building decision-makers with the energy-related information they need beginning in the initial, schematic phases of building design through the detailed specification of building components and systems. SPARK Models complex building envelopes and mechanical systems that are beyond

125

NRELs WEC Modeling Tools  

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

NREL NREL i s a n a*onal l aboratory o f t he U .S. D epartment o f E nergy, O ffice o f E nergy E fficiency a nd R enewable E nergy, o perated b y t he A lliance f or S ustainable E nergy, L LC. NREL's W ave E nergy Converter M odeling E fforts Marine a nd H ydrokine:c Instrumenta:on, M easurement & Computer M odeling W orkshop Yi---Hsiang Y u, Y e L i, B ob T hresher, Marco Masciola, M ichael L awson July 9 , 2 012 2 Objec:ves * Develop f easible n umerical t ools to assist modeling of wave energy conversion ( WEC) s ystems * Provide a b aseline s ystem d esign and a power genera:on performance a nalysis * Collaborate w ith i ndustry, academia and other na:onal laboratories t o a ccelerate W EC technologies development 3 NREL's M odeling E fforts * Computa:onal fl uid dynamic ( CFD) s imula:ons * Mooring

126

Division of Medical Sciences DISSERTATION ADVISOR DECLARATION FORM  

E-Print Network (OSTI)

Division of Medical Sciences DISSERTATION ADVISOR DECLARATION FORM STEP 1 - To be completed of Proposed Dissertation Advisor: Signature of student: Date: STEP 2 - To be completed by Dissertation Advisor Neuroscience Karen Harmin Michael Greenberg Fax#: 1. 2. 3. 4. Advisor's Name: Title: Address: Email: Fax

Datta, Sandeep Robert

127

Job Description Peer Advisor/Student Success Facilitator  

E-Print Network (OSTI)

Job Description ­ Peer Advisor/Student Success Facilitator Advising and Academic Enhancement http skills Peer Advisor/Student Success Facilitator General Requirements: · Have and maintain a minimum for special events and programs · Attend mandatory Peer Advisor Training Program (May 2014) Peer Advisor

Barrash, Warren

128

Division of Medical Sciences DISSERTATION ADVISOR DECLARATION FORM  

E-Print Network (OSTI)

Division of Medical Sciences DISSERTATION ADVISOR DECLARATION FORM STEP 1 ­ To be completed of Proposed Dissertation Advisor: Signature of student: Date: STEP 2 ­ To be completed by Dissertation Advisor Advisor's Name: Title: Address: Phone#: Fax#: Email: ­ OVER ­ #12;STEP 2 (continued) ­ To be completed

Walz, Thomas

129

Updated 09/30/2014 College & Department Advisor Phone Location  

E-Print Network (OSTI)

Updated 09/30/2014 College & Department Advisor Phone Location College of Agriculture 406 Linfield Agricultural Education Office Assigns Advisor 2132 230 Linfield Animal & Range Sciences Denise) Music Office Assigns Advisors 3562 189 Howard Business Office Assigns Advisors 4681 338 Reid Elementary

Maxwell, Bruce D.

130

Richard Gerber! NERSC Senior Science Advisor  

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

Advisor HPCOR 2014 Enabling Data-Driven Scientific Discovery at DOE National Laboratories --- 1 --- June 1 8, 2 014 --- 2 --- HPCOR 2 014 s eeks t o h elp HPC f acili7es d evelop...

131

Joanna Dalland Advisor: Professor Bob Austin  

E-Print Network (OSTI)

Joanna Dalland Advisor: Professor Bob Austin Department of Biophysics, Princeton University REU structures out of PDMS Transferred several worms to an agar plate without food Plasma treated the PDMS

Petta, Jason

132

Advisor's Agreement Worksheet This worksheet can be a means of communicating expectations of the organization-advisor relationship.  

E-Print Network (OSTI)

Advisor's Agreement Worksheet This worksheet can be a means of communicating expectations of the organization-advisor relationship. Both the advisor and the leaders of your organization should review each item. Organization leaders should check off your expectations of the advisor in the "Org" column

Maxwell, Bruce D.

133

Chapter Advisor E-mail Alpha Delta Pi Courtney O'Neill-Chapter Advisor courtneyoneill2004@yahoo.com  

E-Print Network (OSTI)

Chapter Advisor E-mail Alpha Delta Pi Courtney O'Neill- Chapter Advisor courtneyoneill2004@yahoo.com Alpha Delta Pi Kendra Stewart-On Campus stewartk@cofc.edu Alpha Epsilon Pi Alex Green - Chapter Advisor Magwood- Chapater Advisor graymag7@bellsouth.net Alpha Kappa Alpha Debbie Counts-On-Campus countsd

Kunkle, Tom

134

Expectations of Research Advisors 1. The advisor will be committed to the education and training of the graduate student to  

E-Print Network (OSTI)

Expectations of Research Advisors 1. The advisor will be committed to the education and training of the graduate student to facilitate his/her role as a future member of the scientific community. 2. The advisor will be committed to the research project of the graduate student. The advisor will assist the student with: a

Goldman, Steven A.

135

A design advisor for future CAD systems  

E-Print Network (OSTI)

A DESIGN ADVISOR FOR FUTURE CAD SYSTEMS A Thesis by SARATHY P. VIJAY Submitted to the Office of Graduate Studies of Texas AgrM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1990 Major... Subject: Mechanical Engineering A DESIGN ADVISOR FOR FUTURE CAD SYSTEMS A Thesis by SARATHY P. VIJAY Approved as to style and content by: Christian P. Burger (Chair of Committee) Peter H. Gien (Member) Thomas Linehan (Member) Walter F. B dley...

Vijay, Sarathy P.

1990-01-01T23:59:59.000Z

136

OPT -Academic Advisor's Statement of Program Completion Form Academic Advisor: This form provides the International Student & Scholar Services office with information  

E-Print Network (OSTI)

OPT - Academic Advisor's Statement of Program Completion Form Academic Advisor: This form provides/day/year): ________________________________________________________ Note to advisor: This date cannot go beyond the end date of the current semester. The student to start your OPT. Advisor's Signature

Rock, Chris

137

New Modularization Framework Transforms FAST Wind Turbine Modeling Tool  

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

The National Renewable Energy Laboratory recently released an expanded version of its FAST wind turbine computer-aided engineering tool under a new modularization framework. The new framework will transform FAST into a powerful, robust, and flexible modeling software for wind and water power technology developers.

138

Modeling longitudinal spatial periodontal data: A spatially-adaptive model with tools for specifying  

E-Print Network (OSTI)

Modeling longitudinal spatial periodontal data: A spatially-adaptive model with tools spatial periodontal data: A spatially-adaptive model with tools for specifying priors and checking fit with spatially-varying baseline smoothing parameters, and the rectangles along the horizontal axes represent

Reich, Brian J.

139

CHEOPS: A tool-integration platform for chemical process modelling and simulation  

Science Journals Connector (OSTI)

A large number of modelling tools exist for the construction and solution of mathematical models of chemical processes. Each (chemical) process modelling tool provides its own model ... This paper presents a conc...

G. Schopfer; A. Yang; L. von Wedel

2004-08-01T23:59:59.000Z

140

Advisor Signature Student Signature Date The advisor is to make a copy of this form, when complete, to keep as a record of advising.  

E-Print Network (OSTI)

Advisor Signature Student Signature Date The advisor is to make a copy of this form, when complete requires each student to consult with an academic advisor prior to each registration period. After developing a schedule with your advisor, your advisor will have your advisor hold lifted. You

Tchumper, Gregory S.

Note: This page contains sample records for the topic "advisor model tool" 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

A tool for visual and formal modelling of software designs  

Science Journals Connector (OSTI)

Abstract Diagrams are ubiquitous in software engineering and widely used for software modelling. The visual contract language (VCL) enables an approach to software design modelling that is entirely graphical and has a mathematical basis. VCL's main novelties lie in its capacity to describe predicates visually and in its graphical front-end to formal modelling. VCL is brought to life in the visual contract builder (VCB) tool presented in this paper. VCB provides diagram editors for the whole VCL suite, it type-checks diagrams and generates Z formal specifications from them; the Z specification enables formal verification and validation using Z theorem provers. The paper evaluates VCB based on the results of a survey carried out in the context of a controlled experiment. The work presented here is a contribution to the area of visual design modelling: the paper presents a state of the art tool supporting the novel VCL language and concrete empirical results on the usefulness and effectiveness of tool and language in particular, suggesting benefits of visual modelling in general.

Nuno Amlio; Christian Glodt

2015-01-01T23:59:59.000Z

142

Cheap talk and credibility: The consequences of confidence and accuracy on advisor credibility and persuasiveness  

E-Print Network (OSTI)

con?ict in judge-advisor decision making. Organizationaland expertise in a judge- advisor system. Organizational= .71, p = .40. Unlike the advisor credibility rating, there

Sah, Sunita; Moore, Don A; MacCoun, Robert J

2013-01-01T23:59:59.000Z

143

On the modeling and generation of service-oriented tool chains  

Science Journals Connector (OSTI)

Tool chains have grown from ad-hoc solutions to complex software systems, which often have a service-oriented architecture. With service-oriented tool integration, development tools are made available as services, which can be orchestrated to form tool ... Keywords: Domain specific modeling language, Generative approach, Service-oriented architecture, Tool integration

Matthias Biehl, Jad El-Khoury, Frdric Loiret, Martin Trngren

2014-05-01T23:59:59.000Z

144

Building Energy Software Tools Directory: Heat Pump Design Model  

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

Heat Pump Design Model Heat Pump Design Model Heat Pump Design Model logo. Research tool for use in the steady-state simulation and design analysis of air-to-air heat pumps and air conditioners. The program can be used with most of the newer HFC refrigerants as well as with HCFCs and CFCs. The standard vapor-compression cycle is modeled with empirical representations for compressor performance and first-principle region-by-region modeling of the heat exchangers. An online Web version is available that can be used with default configurations or with user-specified component and operating parameters for analyzing the performance of single-speed, air-to-air equipment. User configurations can be saved for later use. Parametric analyses can be made and performance trends plotted online.

145

Starlight Capital Advisors | Open Energy Information  

Open Energy Info (EERE)

Starlight Capital Advisors Starlight Capital Advisors Jump to: navigation, search Name Starlight Capital Advisors Place Carlsbad, California Zip 92011 Sector Renewable Energy Product California-based investment banking boutique focused on providing financial and strategic advice to project developers in renewables. Coordinates 31.60396°, -100.641609° 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":31.60396,"lon":-100.641609,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

146

Greenman Financial Advisors LLC | Open Energy Information  

Open Energy Info (EERE)

Greenman Financial Advisors LLC Greenman Financial Advisors LLC Jump to: navigation, search Name Greenman Financial Advisors, LLC Place Denver, Colorado Zip 80209 Sector Wind energy Product String representation "Greenman Financ ... rship business." is too long. Coordinates 39.74001°, -104.992259° 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":39.74001,"lon":-104.992259,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

147

Hereford Capital Advisors | Open Energy Information  

Open Energy Info (EERE)

Hereford Capital Advisors Hereford Capital Advisors Jump to: navigation, search Name Hereford Capital Advisors Place Denver, Colorado Product US-based firm offering PV project management and capital structuring. Coordinates 39.74001°, -104.992259° 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":39.74001,"lon":-104.992259,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

148

Research Advisor Agreement (Due March 1, 2014) School of Engineering and Applied Sciences  

E-Print Network (OSTI)

Research Advisor Agreement (Due March 1, 2014) School of Engineering and Applied Sciences Student Name: Last First Middle HUID Research Advisor to activate your RA pay. Research Advisor Role: The research advisor is expected to chair the qualifying

Chen, Yiling

149

Focus Series: Denver Energy Advisor Program Helps Homeowners...  

Energy Savers (EERE)

Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City...

150

Economics Advisor: Jill Wilson | 801-581-7481  

E-Print Network (OSTI)

Economics Advisor: Jill Wilson | 801-581-7481 jill.wilson@economics.utah.edu All courses must. Consult the advisor or the general catalog for the list of qualifying elective courses. ECON 4010

Tipple, Brett

151

U-153: EMC Data Protection Advisor Server and Collector Bugs...  

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

53: EMC Data Protection Advisor Server and Collector Bugs Let Remote Users Deny Service U-153: EMC Data Protection Advisor Server and Collector Bugs Let Remote Users Deny Service...

152

Interview with BSJ Staff Advisor Leah Carroll: BSJ Throughout the Years  

E-Print Network (OSTI)

and served as the staff advisor. Her experience in researchrewarding being the BSJ advisor? Carroll: This could be said

Gururangan, Kapil; Neogi, Sushrita; Bhat, Prashant; Rosen, Jared; Wang, Jingyan

2012-01-01T23:59:59.000Z

153

Economic Impact Tools | Department of Energy  

Energy Savers (EERE)

Engineering Laboratory, a beta version of GETEM is available for download. System Advisor Model (SAM)-GTO is currently working with the National Renewable Energy Laboratory...

154

INTO Colorado State University, Academic Advisor: Short Description Position Description  

E-Print Network (OSTI)

INTO Colorado State University, Academic Advisor: Short Description Position Description INTO Colorado State University (INTO CSU) seeks one full-time, 12-month academic advisor who will advise INTO CSU students. The primary responsibility of the academic advisor is to promote and facilitate

Stephens, Graeme L.

155

RESIDENT ADVISOR JOB CONTRACT 2013-2014 OFFICE COPY  

E-Print Network (OSTI)

RESIDENT ADVISOR JOB CONTRACT 2013-2014 OFFICE COPY This contract provides information supplemental to that found in the Resident Advisor Job Description. After having reviewed the job description the position of Resident Advisor for the 2013-2014 academic year. In accepting this position I agree to all

Devoto, Stephen H.

156

Choosing a Thesis Advisor and a Postdoctoral Position Giving Talks  

E-Print Network (OSTI)

athematics A Vignette Choosing a Thesis Advisor and a Postdoctoral Position Giving Talks Joining. is not enough! #12;athematics A Vignette Choosing a Thesis Advisor and a Postdoctoral Position Giving Talks Joining Professional Organizations Outline 1 A Vignette 2 Choosing a Thesis Advisor and a Postdoctoral

Miller, Peter D.

157

COMMUNITY ADVISOR JOB CONTRACT 2014-2015 OFFICE COPY  

E-Print Network (OSTI)

COMMUNITY ADVISOR JOB CONTRACT 2014-2015 OFFICE COPY This contract provides information supplemental to that found in the Community Advisor Job Description. After having reviewed the job description the position of Community Advisor for the 2014-2015 academic year. In accepting this position I agree to all

Royer, Dana

158

STUDENT ADVISOR GUIDELINES PROPOSAL: ASSESSMENTS OF AND PROPOSED CHANGES  

E-Print Network (OSTI)

STUDENT ADVISOR GUIDELINES PROPOSAL: ASSESSMENTS OF AND PROPOSED CHANGES TO THE NJIT ADVISING PROCESS NEW JERSEY INSTITUTE OF TECHNOLOGY STUDENT SENATE STUDENT ADVISOR GUIDELINES COMMITTEE DECEMBER of NJIT as a whole. -2- #12;I. Students' Views of Advisors Obligations These are the recommendations

Bieber, Michael

159

Office of Residential Life Summer Community Advisor Contract 2014  

E-Print Network (OSTI)

Office of Residential Life Summer Community Advisor Contract ­ 2014 This contract provides information supplemental to that found in the Summer Community Advisor Job Description. After having, _____________________________________, accept the position of Community Advisor for the summer of 2014. (print name) In accepting

Royer, Dana

160

Declaring CS or CSE 1. Find an Advisor  

E-Print Network (OSTI)

Declaring CS or CSE 1. Find an Advisor Find a CS professor or lecturer who verbally agrees to be your advisor. See http://csmajor/FacultyList.php for a list of faculty members. You should meet with him or her in person, either in office hours or by appointment. Write your advisors name here. I have

Pratt, Vaughan

Note: This page contains sample records for the topic "advisor model tool" 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

OFFICE OF AFRICAN AMERICAN AFFAIRS PEER ADVISOR PROGRAM  

E-Print Network (OSTI)

OFFICE OF AFRICAN AMERICAN AFFAIRS PEER ADVISOR PROGRAM 2012 ­ 2013 Application 1 | P a g e For Office Use Only Application #_______ Dear Applicant: The Office of African-American Affairs' Peer Advisor Program is excited that you are interested in becoming a Peer Advisor (PA) for the 2012-2013 academic year

Acton, Scott

162

Undergraduate Research Course Approval Student's Name: __________________________ Research Advisor's Name: _______________________  

E-Print Network (OSTI)

Undergraduate Research Course Approval Student's Name: __________________________ Research Advisor performing research with a faculty advisor for Course Credit or Pay? _________ Undergraduates may only work, students are required to submit a research report at the end of the term to their research advisor

Sherrill, David

163

Preliminary Exam Timeline TIME STUDENT ADVISOR COMMITTEE MEMBERS DEPARTMENT OFFICE  

E-Print Network (OSTI)

Preliminary Exam Timeline TIME STUDENT ADVISOR COMMITTEE MEMBERS DEPARTMENT OFFICE Up to 3 months of 3 questions, confirm date of written exam Prepare potential written questions and submit to advisor of written exam At least 2 weeks prior to written exam Submit written prospectus to advisor, committee

164

Cora Capital Advisors | Open Energy Information  

Open Energy Info (EERE)

Advisors Advisors Jump to: navigation, search Logo: Cora Capital Advisors Name Cora Capital Advisors Address 445 Park Avenue, 9th Floor Place New York Zip 10022 Region Northeast - NY NJ CT PA Area Product Investment Banking for the Alternative Energy and Clean Technology Sectors Number of employees 1-10 Year founded 2009 Phone number 212-537-5176 Website http://www.coracapadvisors.com Coordinates 40.761092°, -73.970642° 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":40.761092,"lon":-73.970642,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

165

Report of Science Advisors Solano County  

E-Print Network (OSTI)

and Water and Sediment Quality 4.0 Specific Habitat Types and Areas of High Conservation Concern 4.1 Vernal1 Report of Science Advisors Solano County Natural Community Conservation Plan Habitat Conservation for Grasslands 3.4 Research Needs for Riparian Woodland 3.5 Research Needs for Vernal Pool Plant Communities 3

166

New Infrastructure Advisors | 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 » New Infrastructure Advisors Jump to: navigation, search Logo: New Infrastructure Advisors Name New Infrastructure Advisors Address 1325 Avenue of the Americas Place New York, New York Zip 10019 Region Northeast - NY NJ CT PA Area Product Financial Advisors Number of employees 1-10 Year founded 2009 Phone number 212.763.8474 Website http://www.newinfradvisors.com Coordinates 40.762926142859°, -73.9808177948° 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":40.762926142859,"lon":-73.9808177948,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

167

MCON: Automation Tool for MATLAB Modeling Development Based on V-Model  

Science Journals Connector (OSTI)

MCON tools have been formally put into use for more than one year, and have completed modeling works for several projects. Facts have proved that: it effectively ... efficiency, reliability and team cooperation. ...

Mingshi Xie; Wanrong Wang

2013-01-01T23:59:59.000Z

168

Evaluation and comparison of models and modelling tools simulating nitrogen processes in treatment wetlands  

Science Journals Connector (OSTI)

In this paper, two ecological models of nitrogen processes in treatment wetlands have been evaluated and compared. These models were implemented, simulated, and visualized using the Modelica modelling and simulation language [P. Fritzson, Principles of Object-Oriented Modelling and Simulation with Modelica 2.1 (Wiley-IEEE Press, USA, 2004).] and an associated tool. The differences and similarities between the MathModelica Model Editor and three other ecological modelling tools have also been evaluated. The results show that the models can well be modelled and simulated in the MathModelica Model Editor, and that nitrogen decrease in a constructed treatment wetland should be described and simulated using the Nitrification/Denitrification model as this model has the highest overall quality score and provides a more variable environment.

Stina Edelfeldt; Peter Fritzson

2008-01-01T23:59:59.000Z

169

A modelling language and a tool for web services composition  

Science Journals Connector (OSTI)

Web services technology is the most common implementation of service oriented architecture. Web services are based on open technologies such as eXtensible Markup Language (XML) and offer a distributed approach for the integration of heterogeneous applications across the internet. The process of combining web services functionalities into one composite service is called web services composition. To perform this task, several languages such as Business Process Execution Language (BPEL), Web Services Flow Language (WSFL) and Web Service Choreography Interface (WSCI) have emerged. These languages are based on programming concepts and neglect the specification step which is very important in any software development process. In this paper, we address the formal specification of web services descriptions and the modelling of their composition using the model driven engineering principles. To this end, we propose a domain specific language (DSL) called S-GNet. The proposed DSL introduces new modelling elements which make it well adapted to the web services characteristics. We also propose a graph grammar which transforms Web Services Description Language (WSDL) descriptions into their equivalent S-GNet specifications. This grammar is integrated within an S-GNet modelling tool.

Fayçal Bachtarzi; Allaoua Chaoui

2014-01-01T23:59:59.000Z

170

MCF Advisors LLC | Open Energy Information  

Open Energy Info (EERE)

MCF Advisors LLC MCF Advisors LLC Jump to: navigation, search Name MCF Advisors LLC Place Charlotte, North Carolina Zip 28202 Sector Biomass, Renewable Energy, Services, Solar, Wind energy Product Provide investment banking services to privately-held small to middle market businesses, with sector focus on traditional and renewable energy industries. Emphasis on solar, wind, biomass and biodiesel feedstock and refining. Coordinates 35.2225°, -80.837539° 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":35.2225,"lon":-80.837539,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

171

Ecological Modelling 120 (1999) 6573 Artificial neural networks as a tool in ecological modelling,  

E-Print Network (OSTI)

Ecological Modelling 120 (1999) 65­73 Artificial neural networks as a tool in ecological modelling-34032 Montpellier cedex 1, France Abstract Artificial neural networks (ANNs) are non-linear mapping), genetic algorithms (d'Angelo et al., 1995; Golikov et al., 1995) and artificial neural networks, i.e. ANN

Roche, Benjamin

172

Using Product Specific Simulation Models in a Tool for Manual Commissioning of Air Handling Units  

E-Print Network (OSTI)

This short paper describes an outline of a tool for manual commissioning of air handling units. The prototype tool is implemented EES professional version that can generate standalone programs. The idea is to use the benefit of simulation models...

Eriksson, J.

2003-01-01T23:59:59.000Z

173

EAC Recommendations Regarding Emerging and Alternative Regulatory Models and Modeling Tools to Assist in Analysis (September 2014)  

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

EAC recommendations from the September 2014 meeting regarding Emerging and Alternative Regulatory Models and Modeling Tools to Assist in Analysis (September 2014)

174

NAQSAT National Air Quality Site Assessment Tool NAQSAT National Air Quality Site Assessment Tool  

E-Print Network (OSTI)

NAQSAT National Air Quality Site Assessment Tool NAQSAT National Air Quality Site Assessment Tool Air Quality Assessment Tool For Livestock Producers & Advisors #12;NAQSAT The National Air Quality Dairymen National Air Quality Site Assessment Tool Benefits for Producers · Voluntarily and securely assess

175

Model Quality Control Matrix Tools for Defining Commissioning Process  

E-Print Network (OSTI)

by overriding, deleting and/or adding. ?It is used to define most of the necessary procedures required for commissioning authority as well as commissioning-related parties during the building production stage and operation stage. ?MQC tool is a control tool...Cell ContentsS p ecificationS p ecification2URLMAILOther Files??????????????1???2?????????????????????????????????????????????http://www.hptcj.or.jp/chikun etu/tools/index.html ??????????????????????????????????? ?? ?????????????????????????????????????????http://www.hptcj.or...

Nakahara, N.; Onojima, H.; Kamitani, K.

2004-01-01T23:59:59.000Z

176

CSU Master Food Safety Advisor Program Do you enjoy the art and science of food preservation?  

E-Print Network (OSTI)

CSU Master Food Safety Advisor Program Do you enjoy the art and science of food preservation? Would Advisor! What is a Master Food Safety Advisor The Master food Safety Advisor program serves to extend CSU Safety Advisor is a trained volunteer educator and resource person in the community to provide the public

177

PAGE 1 OF 1Revised 12/09/2013 Anticipated date of graduation Major Advisor's name  

E-Print Network (OSTI)

PAGE 1 OF 1Revised 12/09/2013 Anticipated date of graduation Major Advisor's name Department to your advisor. Once the form has been signed off by the advisor and department head, it should funding source to be used: Approvals: Advisor's name Advisor's signature Date Date Date Department head

Blei, Ron

178

Committee Role Required/ Optional CSM faculty status Department Advisor Required Full time Home Department  

E-Print Network (OSTI)

Committee Role Required/ Optional CSM faculty status Department Advisor Required Full time Home faculty status Department Advisor Required Full time Home Dept* or familiar with area of study Co-Advisor to specify on form Full time-cannot be advisor or co-advisor Committee Role Required/ Optional CSM faculty

179

Air and Liquid Advisors ALA | Open Energy Information  

Open Energy Info (EERE)

Texas-based brokerage firm that specializes in brokerage services for the global green markets and the clean energy sector. References: Air and Liquid Advisors (ALA)1 This...

180

Written Statement of David Huizenga Senior Advisor for Environmental...  

Office of Environmental Management (EM)

House of Representatives (May 9, 2013) Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on...

Note: This page contains sample records for the topic "advisor model tool" 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

Written Statement of David Huizenga Senior Advisor for Environmental...  

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

Senate (May 8, 2013) Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on Strategic Forces...

182

Senior Advisor Huizenga's Written Statement before the House...  

Office of Environmental Management (EM)

House Armed Services Subcommittee on Strategic Forces (April 17, 2012) Senior Advisor Huizenga's Written Statement before the House Armed Services Subcommittee on Strategic Forces...

183

Senior Advisor Huizenga's Written Statement before the Senate...  

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

Senate Armed Services Subcommittee on Strategic Forces (March 14, 2012) Senior Advisor Huizenga's Written Statement before the Senate Armed Services Subcommittee on Strategic...

184

Senior Advisor David Huizenga's Written Statement Before the...  

Office of Environmental Management (EM)

on Energy and Water Development Committee on Appropriations (March 19, 2013) Senior Advisor David Huizenga's Written Statement Before the Subcommittee on Energy and Water...

185

Silicon-Based Tracking Detector Development Advisors: Mark Kruse...  

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

Using Color Flow Observables to Constrain Multiple-Parton Interaction Uncertainties Advisor: Ayana Arce Analysis project with ATLAS data (ttbar candidate events) and various...

186

Summary - System Level Modeling and Simulation Tools for SRS  

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

Workflo Workflo The ob Proces Savann Dispos assess evaluat design evaluat predict to guid * Th so in w es sy * Th is m * Th fle m de fu The pu techni projec Site: S roject: S Report Date: J ited States valuation i Why DOE ow Diagram bjective of the rev ss Simulation To nah River Site (S sition System Pla s whether the too te methods used , construction, p te methods to im ions; and (4) det e actual executio What th he current Syst oftware tools to formation, and aste. These to stimates, but th ystem planning he capability of limited. This h mid to long-term here is a need exibility, and tu model prediction ecouple safety unctions. To view the full E http://www.em.doe. urpose of an Externa ical risk associated w ct decisions. Technic Savannah Rive SRS System M June 2009 Departmen n of Sys n Suppo E-EM Did This view was to eva

187

MOCHA: A Model Checking Tool that Exploits Design Structure L. de Alfaro R. Grosu  

E-Print Network (OSTI)

INTRODUCTION Model checking is emerging as a practical tool for automated debugging of embedded software (seeMOCHA: A Model Checking Tool that Exploits Design Structure R. Alur L. de Alfaro¡ R. Grosu ¢ T [7] for a survey, and [12, 11] for sample model checkers, and [8] for applications to software

de Alfaro, Luca

188

MOCHA: A Model Checking Tool that Exploits Design Structure L. de Alfaro  

E-Print Network (OSTI)

INTRODUCTION Model checking is emerging as a practical tool for automated debugging of embedded software (seeMOCHA: A Model Checking Tool that Exploits Design Structure R. Alur L. de Alfaro R. Grosu T [7] for a survey, and [12, 11] for sample model checkers, and [8] for applications to software

Grosu, Radu

189

Development of an Open Source Hourly Building Energy Modeling Software Tool.  

E-Print Network (OSTI)

??Computer building energy simulations are an important tool in the design of low-energy buildings. Building energy modeling is used to predict annual energy consumption, determine (more)

Hanam, Brittany

2010-01-01T23:59:59.000Z

190

E-Print Network 3.0 - advanced modeling tool Sample Search Results  

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

A. Ege Engin, Georgia Institute of Technology, Atlanta, Georgia, USA Summary: tools for modeling and simulation will also be discussed as part ofthe course. Course Outline: *...

191

E-Print Network 3.0 - analysis modeling tool Sample Search Results  

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

and Editors George Edwards Summary: , to leverage models created using these tools for automated analysis, simulation, and code generation, end... - users must build custom...

192

counselor to the student, the advisor is the primary counselor. Communication between the advisor and the student is necessary to make advising a meaningful and productive process.  

E-Print Network (OSTI)

8 counselor to the student, the advisor is the primary counselor. Communication between the advisor and the student is necessary to make advising a meaningful and productive process. C. Project Advisor Research projects are completed under the direction of a project advisor. The selection of this individual is based

193

CHANGE OF MAJOR/ADVISOR Instructions: Complete this form to change your major and/or faculty advisor. If you are changing both your major AND your  

E-Print Network (OSTI)

CHANGE OF MAJOR/ADVISOR Instructions: Complete this form to change your major and/or faculty advisor. If you are changing both your major AND your faculty advisor, complete Sections I, II and III. If you are only changing your faculty advisor, complete Sections I and III. Please note: Your faculty

Goldberg, Bennett

194

NRELs Renewable Energy Optimization (REopt) Tool: Models & Tools (Fact Sheet), NREL (National Renewable Energy Laboratory)  

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

m o d e l s & t o o l s NREL's Renewable Energy Optimization (REopt) Tool NREL's REopt tool is an early screening tool that identifies and prioritizes renewable energy (RE) projects at a single site, or across a portfolio of geographically dispersed sites, to meet agency goals. Key Features * Optimization. REopt considers RE resources, energy rates, and utility policies to identify the most cost-effective technologies to meet energy goals. * Integration. REopt simultaneously models the complex hourly interactions of multiple thermal and electric RE technologies, along with conventional energy sources. * Low cost. REopt provides a quick and low-cost method to identify the most economically and technically viable technologies for further study.

195

Damietta Cross Cultural Center Cross-Cultural Training Institute Solidarity Advisor 2014-2015  

E-Print Network (OSTI)

Advisor 2014-2015 Thank You Name. As a solidarity advisor you will be asked to step outside of your comfort zone-Cultural Training Institute and Solidarity Advisor position is building inclusive communities

196

A Rook or a Pawn: The White House Science Advisor in an Age of Climate Confusion  

E-Print Network (OSTI)

Rise and Fall of the Science Advisor to the President of theof SDI, as Science Advisor he had "little initial input intochange, however, the Science Advisor has so far exerted only

Aslanian, Len

2010-01-01T23:59:59.000Z

197

Summer Peer Advisor Reference Form Undergraduate Advising & Learning Communities--Summer Orientation  

E-Print Network (OSTI)

Summer Peer Advisor Reference Form Undergraduate Advising & Learning Communities & Learning Communities as a summer orientation Peer Advisor. This position involves a high level of interaction with new students and faculty or staff advisors. This experience can be demanding, both personally

Massachusetts at Amherst, University of

198

Last Updated: July 24, 2013 CUNY HRPP Policy: Faculty Advisor Responsibilities  

E-Print Network (OSTI)

Last Updated: July 24, 2013 CUNY HRPP Policy: Faculty Advisor as the faculty advisor to a student researcher is an active mentor to the student to the student's involvement in human subject research, the faculty advisor

Rosen, Jay

199

Summer Peer Advisor Reference Form Undergraduate Advising & Learning Communities--Summer Orientation  

E-Print Network (OSTI)

Summer Peer Advisor Reference Form Undergraduate Advising & Learning Communities as a summer orientation Peer Advisor. This position involves a high level of interaction with new students and faculty or staff advisors. This experience can be demanding, both personally and professionally

Massachusetts at Amherst, University of

200

Modelling PV Deployment: A Tool Developed at CEEP to  

E-Print Network (OSTI)

..............................................................................................................................2 3. CEEP's Solar PV Diffusion Model Overview ..............................................................................................................12 4. Comparison of the CEEP's Solar PV Diffusion Model with Other Models ..................................................................................................................................................18 i #12;List of Figures Figure 1: Overview of CEEP's Bottom-Up Solar PV Diffusion Model

Delaware, University of

Note: This page contains sample records for the topic "advisor model tool" 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

Analytical Modeling Linking the FASTSim and ADOPT Software Tools  

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

Model Petroleum Impact Optimize for market share 6 Approach: Vehicle Powertrain Modeling Fuel Economy Inputs Vehicle Price Acceleration Outputs Component Sizes and Vehicle...

202

Contributions to Meta-Modeling Tools and Methods  

E-Print Network (OSTI)

-driven product design environments Modeling and simulation Modelica Framework Objective Efficient development;2 Outline Product Design Environments Meta-Modeling Modelica Meta-Model Invasive Composition of Modelica Model-driven Product Design using Modelica Meta-Programming Debugging of Natural Semantics

Zhao, Yuxiao

203

Summary of the workshop on multi-paradigm modeling: concepts and tools  

Science Journals Connector (OSTI)

This paper reports on the findings of the first Workshop on Multi-Paradigm Modeling: Concepts and Tools. It contains an overview of the presented papers and of the results of three working groups which addressed multiple views, abstraction, and evolution. ... Keywords: meta-modeling, modeling, multi-formalism, multi-paradgim modeling

Holger Giese; Tihamr Levendovszky; Hans Vangheluwe

2006-10-01T23:59:59.000Z

204

Cost Benefit Analysis Modeling Tool for Electric vs. ICE Airport Ground Support Equipment Development and Results  

SciTech Connect

This report documents efforts to develop a computer tool for modeling the economic payback for comparative airport ground support equipment (GSE) that are propelled by either electric motors or gasoline and diesel engines. The types of GSE modeled are pushback tractors, baggage tractors, and belt loaders. The GSE modeling tool includes an emissions module that estimates the amount of tailpipe emissions saved by replacing internal combustion engine GSE with electric GSE. This report contains modeling assumptions, methodology, a users manual, and modeling results. The model was developed based on the operations of two airlines at four United States airports.

James Francfort; Kevin Morrow; Dimitri Hochard

2007-02-01T23:59:59.000Z

205

Request to Select Thesis/Dissertation Advisor for Genetics Graduate Program  

E-Print Network (OSTI)

Request to Select Thesis/Dissertation Advisor for Genetics Graduate Program I) Upon successful as my advisor in completion of my terminal degree in Name of advisor the Genetics Graduate Program. __________________________________________________________________ Petitioning student's signature date print name II) I agree to serve as the advisor for the petitioning

206

The University of Utah Sport Clubs Program FACULTY/STAFF ADVISOR AGREEMENT  

E-Print Network (OSTI)

The University of Utah Sport Clubs Program FACULTY/STAFF ADVISOR AGREEMENT This form is designed to memorialize the Sport Club's agreement with its faculty/staff advisor. All advisors must complete and submit to Club members. Club Name: ______________________________________________ ADVISOR INFORMATION: Name

Simons, Jack

207

PLANNING DOCUMENT: STUDENT AND ADVISOR Ph.D. Program Benchmark Worksheet  

E-Print Network (OSTI)

PLANNING DOCUMENT: STUDENT AND ADVISOR Ph.D. Program Benchmark Worksheet SCHOOL OF EDUCATION rev072314 Key SoE=School A=Advisor S=Student Target Date Activity Responsibility Welcome Week Receive assignment of advisor and orientation to program SoE Fall ­ Year 1 Meet with advisor Discuss proposed program

Rose, Michael R.

208

Last Updated: November 13, 2012 Page 1 of 2 SPIRE for Advisors Access Application  

E-Print Network (OSTI)

Last Updated: November 13, 2012 Page 1 of 2 SPIRE for Advisors Access Application Applicant Information & Authorization Form Use this form to apply for SPIRE for Advisors access. SPIRE for Advisors additional SPIRE access other than for Advisors, use the SPIRE for Staff Access Application form. The SPIRE

Schweik, Charles M.

209

Summary - System Level Modeling and Simulation Tools for Hanford  

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

The ob The ob curren plannin Dispos yield re to mod plannin to imp (4) det actual * Th th Th co no in pl * In fo op sy as di re de co an * Th en m ha ev sc The pu techni projec Site: H roject: H Report Date: S ited States valuation in Su Why DOE bjective of the r nt Process Simu ng basis for OR sition System P easonable esti del facilities cur ng or operation rove the rate o termine if addit execution of in What th he current Syst hat are limited t hese tools curr omposition, res ot meeting was itial batches. T anning tool tha ncomplete sync or tank farm ope peration (G2 dy ystem analysis ssumptions use fferent. HTWO esults in the sys esign/operation onsequence tim nalyzed. he lack of an "o ntire plant/proc maintainability (R ampers life cyc valuate system cenarios to imp To view the full E http://www.em.doe. urpose of an Externa

210

Student Preferences for Academic Advisors as Transformational Leaders  

E-Print Network (OSTI)

A quantitative study was conducted to determine the preferences of undergraduate students for academic advisors as transformational leaders. A questionnaire was developed and distributed to undergraduate students enrolled in leadership classes at a...

Drozd, Deborah Suzanne

2011-02-22T23:59:59.000Z

211

New Set of Computational Tools and Models Expected to Help Enable Rapid  

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

Set of Computational Tools and Models Expected to Help Enable Set of Computational Tools and Models Expected to Help Enable Rapid Development and Deployment of Carbon Capture Technologies New Set of Computational Tools and Models Expected to Help Enable Rapid Development and Deployment of Carbon Capture Technologies January 28, 2013 - 12:00pm Addthis Washington, DC - An eagerly anticipated suite of 21 computational tools and models to help enable rapid development and deployment of new carbon capture technologies is now available from the Carbon Capture Simulation Initiative (CCSI). Visit the CCSI website The toolset developed by CCSI, a public-private partnership led by the Office of Fossil Energy's (FE) National Energy Technology Laboratory (NETL), will help meet an urgent need by industry to take carbon capture

212

CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions  

E-Print Network (OSTI)

Building Maintenance and Repair Cost Reference. WhitestoneJ. Wallis and H. Lin. 2008. CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. Center for

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

213

Ecological Modelling 120 (1999) 313324 Microsatellites and artificial neural networks: tools for the  

E-Print Network (OSTI)

Ecological Modelling 120 (1999) 313­324 Microsatellites and artificial neural networks: tools´rigueux Cedex, France Abstract Artificial Neural Networks (ANN) were applied to microsatellite data (highly rights reserved. Keywords: Artificial Neural Network; Classification; Microsatellites; Stocking; Brown

Lek, Sovan

214

New Framework Transforms FAST Wind Turbine Modeling Tool (Fact...  

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

for modeling multisegmented mooring quasi-static behaviors of floating offshore wind turbines; and full conversion of FAST into the new modularization framework. Features of...

215

New Modeling Tool Analyzes Floating Platform Concepts for Offshore Wind Turbines (Fact Sheet)  

SciTech Connect

Researchers at the National Renewable Energy Laboratory (NREL) developed a new complex modeling and analysis tool capable of analyzing floating platform concepts for offshore wind turbines. The new modeling tool combines the computational methodologies used to analyze land-based wind turbines with the comprehensive hydrodynamic computer programs developed for offshore oil and gas industries. This new coupled dynamic simulation tool will enable the development of cost-effective offshore technologies capable of harvesting the rich offshore wind resources at water depths that cannot be reached using the current technology.

Not Available

2011-02-01T23:59:59.000Z

216

Modeling of a digital tool to design sustainable buildings Vida Gholipour1, 2  

E-Print Network (OSTI)

1 Eco-Models Modeling of a digital tool to design sustainable buildings Vida Gholipour1, 2 , Jean' to help architects design more sustainable buildings is rapidly expanding. This demand has led to use and so collaborate to optimize the building design. Keywords: Eco-Models: sustainable buildings; design

Paris-Sud XI, Université de

217

Integrating the Modelica DSL into a Platform for Model-Based Tool Interoperability  

Science Journals Connector (OSTI)

Domain Specific Languages (DSL) are an important concept that is used in industry, in order to enable the fast and cost efficient design of specific functions/components, and/or to target particular aspects of the systems' development and operation. ... Keywords: DSL, domain specific languages, modeling, Modelica, Model Bus, tool interoperability, model driven engineering, MDE

Nikolay Tcholtchev, Grit Dudeck, Michael Wagner, Christian Hein, Arun Prakash, Tom Ritter

2014-07-01T23:59:59.000Z

218

Data Tools & Models - U.S. Energy Information Administration (EIA)  

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

Data Tools & Models Data Tools & Models Glossary › FAQS › Overview Data Tools Time Series Models & Documentation EIA has a vast amount of data, reports, forecasts, analytical content, and documentation to assist researchers working on energy topics. For users eager to dive deeper into our content, we have assembled tools to customize searches, view specific data sets, study detail documentation, and access time-series data. Application Programming Interface (API): allows computers to more easily access our public data. Released as a beta product as of September 21, 2012. It currently contains 465,000 electricity series. As we add petroleum, natural gas, international, and state energy estimates over the coming months, this number will swell to over a million series.

219

Building Energy Software Tools Directory: Energy Demand Modeling  

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

Energy Demand Modeling Energy Demand Modeling The software is intended to be used for Energy Demand Modeling. This can be utilized from regional to national level. A Graphical User Interface of the software takes the input from the user in a quite logical and sequential manner. These input leads to output in two distinct form, first, it develops a Reference Energy System, which depicts the flow of energy from the source to sink with all the losses incorporated and second, it gives a MATLAB script file for advance post processing like graphs, visualization and optimizations to develop and evaluate the right energy mix policy frame work for a intended region. Keywords Reference Energy System, Software, GUI, Planning, Energy Demand Model EDM, Energy Policy Planning Validation/Testing

220

Computational tools for modeling and measuring chromosome structure  

E-Print Network (OSTI)

DNA conformation within cells has many important biological implications, but there are challenges both in modeling DNA due to the need for specialized techniques, and experimentally since tracing out in vivo conformations ...

Ross, Brian Christopher

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advisor model tool" 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

Equation-Based Object-Oriented Modeling Languages and Tools  

Science Journals Connector (OSTI)

EOOLT 2010 was the third edition of the EOOLT workshop series. The workshop is intended to bring together researchers and practitioners fromdifferent equation-based object-oriented (EOO) modeling language comm...

Peter Fritzson; Edward A. Lee; Franois E. Cellier

2011-01-01T23:59:59.000Z

222

Programming languages as tools for describing and modeling anticipatory systems  

Science Journals Connector (OSTI)

Algorithmizing the control of a complex system needs to know it in details, especially when the control steps are tested at a simulation model of the system. Computing technique enables performing control so that possible consequences to more or less ... Keywords: SIMULA, anticipatory systems, complex systems formalism, object-oriented programming, simulation, sophisticated control

Eugene Kindler

2009-03-01T23:59:59.000Z

223

New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants  

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

To help developers more readily estimate the economic benefits of offshore wind plants, DOE recently released a new version of the Jobs and Economic Development Impact (JEDI) input-output modeling tool. The original tool was developed by the National Renewable Energy Laboratory to estimate the economic impacts of constructing renewable power plants. The updated version allows users to better understand the potential regional economic impacts of offshore wind development.

224

Automating Dynamic Decoupling in Object-Oriented Modelling and Simulation Tools  

E-Print Network (OSTI)

a Modelica transla- tor. Simulation tests demonstrate the technique, and the re- alised implementation than of simulation theory. In this work we refer as "EOO Modelling Tool" to a Modelica translator, to allow exemplifying the (more general) presented ideas. For a Modelica translator, the EOO modelling

Como, Giacomo

225

Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells  

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

The Fuel Cell Technologies Office's systems analysis program uses a consistent set of models and data for transparent analytical evaluations. The following fact sheets provide an overview and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells.

226

Generic tool for modelling and simulation of semiconductor intrabay material handling system  

Science Journals Connector (OSTI)

Semiconductor manufacturing facilities are migrating to 300mm technology, necessitating the implementation of automated material handling systems (AMHS) for a variety of ergonomic and safety considerations. A predictive tool, such as software simulation, is needed at the planning stage to estimate the performance of these relatively new systems. Two forms of AMHS are in general use in industry one which handles material within a group of machines (a bay) and one which transfers material between bays. This paper presents a generic tool for modelling and simulation of an intrabay AMHS. The model utilises a library of different blocks representing the different components of any intrabay material handling system, providing a tool that allows rapid building and analysis of an AMHS under different operating conditions. The ease of use of the system means that inexpert users have the ability to generate good models.

K.S. El-Kilany; P. Young; M.A. El Baradie

2004-01-01T23:59:59.000Z

227

Christina Behr-Andres named science advisor to governor  

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

Science advisor to governor Science advisor to governor Christina Behr-Andres named science advisor to governor Behr-Andres will aid indevelopment and promotion of science and technology policies for economic and educational opportunities. June 9, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Contact James Rickman

228

ORISE: Chemical Stockpile Emergency Preparedness Program Training Advisor  

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

CSEPP Training HSEEP Training Spokesperson Training Incident Command System Training Emergency Management Emergency Response Crisis and Risk Communication Forensic Science How ORISE is Making a Difference Overview Exercises and Planning Training and Technology Support Resources How to Work With Us Contact Us Oak Ridge Institute for Science Education Training Chemical Stockpile Emergency Preparedness Program Training: Advisor 6.0 The Oak Ridge Institute for Science and Education (ORISE) designed a unique computer-based, reference product-Advisor 6.0-to assist those who work in Chemical Stockpile Emergency Preparedness Program's (CSEPP) Emergency Public Information office. Advisor 6.0 includes: Personal digital assistant (PDA) applications that can be used to enhance emergency response communications/coordination.

229

Advisor/Dean Approval Form (For UNC-Chapel Hill undergraduate students who are academically ineligible or not currently attending)  

E-Print Network (OSTI)

Advisor/Dean Approval Form (For UNC-Chapel Hill undergraduate students who are academically ineligible or not currently attending) Complete this form with the signature of your academic advisor or dean_________________ Alternate 2___________________ Alternate 3_________________ Advisor/Dean signature

McLaughlin, Richard M.

230

AUTHORIZATION FOR LTI STUDENT TRAVEL Graduate student travel must be approved by the student's advisor prior to making travel arrangements. It is  

E-Print Network (OSTI)

's advisor prior to making travel arrangements. It is generally expected that the student's advisor, or other): __________________________________________________________________ __________________________________________________________________________________________ Advisor Name: _____________________________________________________________________________ Section 2: Advisor Approval I approve of the above student travel and will pay for (check all that apply): Conference

Eskenazi, Maxine

231

Model-Based Control: Development of a software tool for responsive building  

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

Model-Based Control: Development of a software tool for responsive building Model-Based Control: Development of a software tool for responsive building research, design and operation Speaker(s): Brian Coffey Date: June 28, 2006 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Peng Xu Model-based control approaches the problem of optimal supervisory control for complex building systems by using discrete timesteps and searching for an optimal control configuration at each timestep, using a detailed building model and an optimization algorithm. Although the approach itself is not new (it was proposed at least as early as 1988), it is only during the past five to ten years that readily-available computation power has allowed researchers to consider this approach with complex system models. Recent research has developed and tested this approach for active solar

232

E-Print Network 3.0 - advisor expert system Sample Search Results  

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

advisor expert system Search Powered by Explorit Topic List Advanced Search Sample search results for: advisor expert system Page: << < 1 2 3 4 5 > >> 1 This paper appeared in the...

233

Developing a tight gas sand advisor for completion and stimulation in tight gas reservoirs worldwide  

E-Print Network (OSTI)

and experience about completion and stimulation technologies used in TGS reservoirs. We developed the principal design and two modules of a computer program called Tight Gas Sand Advisor (TGS Advisor), which can be used to assist engineers in making decisions...

Bogatchev, Kirill Y.

2009-05-15T23:59:59.000Z

234

Descriptive and Predictive Analysis of Climate Data Advisor: Nitesh V. Chawla  

E-Print Network (OSTI)

Descriptive and Predictive Analysis of Climate Data Advisor: Nitesh V. Chawla DepartmentNSA) University of Notre Dame Co-Advisor: Auroop R. Ganguly Geographic Information Science and Technology Group

235

NCCR Trade Regulation Brown Bag Series Dr Franziska Humbert, Policy Advisor Corporate Social Responsibility, Oxfam Germany  

E-Print Network (OSTI)

Social Responsibility, Oxfam Germany International Constitutionalism and Child Labour Wednesday, 23, Policy Advisor Corporate Social Responsibility, Oxfam Germany. Abstract The postdoctoral thesis builds of the Speaker Franziska Humbert is a policy advisor on corporate social responsibility at Oxfam Germany

Richner, Heinz

236

U-153: EMC Data Protection Advisor Server and Collector Bugs Let Remote Users Deny Service  

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

Two vulnerabilities were reported in EMC Data Protection Advisor. A remote user can cause denial of service conditions.

237

Adjoint model sensitivities for aerosol health impacts analysis and decision support tools  

E-Print Network (OSTI)

attribution of PM2.5 related mortality From fossil fuel SO2 (25,638) From fossil fuel NOx (19,816) SourceAdjoint model sensitivities for aerosol health impacts analysis and decision support tools Daven K on impacts on human health - develop high-resolution maps of source influences - integrate results

Jacob, Daniel J.

238

Models and Tools for Evaluating Energy Efficiency and Renewable Energy Project Opportunities  

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

In this webinar, attendees will learn about the models and tools developed by DOE and its partners to assist Tribes in assessing renewable energy and energy efficiency project potential. The webinar is held from 11:00 a.m. to 12:30 p.m. Mountain Standard Time on May 27, 2015.

239

Modeling of hard part machining: effect of insert edge preparation in CBN cutting tools  

E-Print Network (OSTI)

discharge machining (EDM) processes in many applications. This approach also reduces the leadModeling of hard part machining: effect of insert edge preparation in CBN cutting tools Tugrul O February 2003 Abstract High speed machining of hardened steels for manufacturing dies and molds offers

Ozel, Tugrul

240

Validation of Multiple Tools for Flat Plate Photovoltaic Modeling Against Measured Data  

SciTech Connect

This report expands upon a previous work by the same authors, published in the 40th IEEE Photovoltaic Specialists conference. In this validation study, comprehensive analysis is performed on nine photovoltaic systems for which NREL could obtain detailed performance data and specifications, including three utility-scale systems and six commercial scale systems. Multiple photovoltaic performance modeling tools were used to model these nine systems, and the error of each tool was analyzed compared to quality-controlled measured performance data. This study shows that, excluding identified outliers, all tools achieve annual errors within +/-8% and hourly root mean squared errors less than 7% for all systems. It is further shown using SAM that module model and irradiance input choices can change the annual error with respect to measured data by as much as 6.6% for these nine systems, although all combinations examined still fall within an annual error range of +/-8.5%. Additionally, a seasonal variation in monthly error is shown for all tools. Finally, the effects of irradiance data uncertainty and the use of default loss assumptions on annual error are explored, and two approaches to reduce the error inherent in photovoltaic modeling are proposed.

Freeman, J.; Whitmore, J.; Blair, N.; Dobos, A. P.

2014-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "advisor model tool" 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

Automation of invariom and of experimental charge density modelling of organic molecules with the preprocessor program InvariomTool  

Science Journals Connector (OSTI)

The XD preprocessor program InvariomTool presented here allows the automation of the process of invariom and experimental charge density modelling of organic molecules.

Hbschle, C.B.

2007-05-15T23:59:59.000Z

242

To make an appointment with a Peer Advisor, visit the SURF  

E-Print Network (OSTI)

To make an appointment with a Peer Advisor, visit the SURF website at http://our.unc.edu/ students/funding-opportunities/ fellowships/surf/ and scroll down to find the link to the SURF Peer Advisor Request Form. While you're there for Undergraduate Research. peeradvising EUISMOD ELEMENTUM SURF Peer Advisors are available by appointment to assist

Sekelsky, Jeff

243

POLICY FOR EMERITI AND RETIRED FACULTY WORKING AS CONTINUING ED.D. ADVISORS  

E-Print Network (OSTI)

POLICY FOR EMERITI AND RETIRED FACULTY WORKING AS CONTINUING ED.D. ADVISORS The Graduate School granted emeritus status) to the School and University. Continuing to serve as the Ed.D. Advisor who helps member into retirement. The primary requirement is an active commitment between the faculty advisor

244

Office of Residential Life PreCollege Summer Resident Advisor Contract 2014  

E-Print Network (OSTI)

Office of Residential Life PreCollege Summer Resident Advisor Contract ­ 2014 This contract provides information supplemental to that found in the PreCollege Summer Program Resident Advisor Job the position of Resident Advisor for the summer of 2014. (print name) In accepting this position, I agree

Royer, Dana

245

ADVISOR CODE RELEASE FORM Please return completed form to: Office of Instruction & Student Affairs  

E-Print Network (OSTI)

ADVISOR CODE RELEASE FORM Please return completed form to: Office of Instruction & Student Affairs in classes each semester, you will need: 1) your Personal Identification Number (PIN), and 2) your advisor code. During your undergraduate career at UC Berkeley, you will keep the same PIN, but your advisor

Wildermuth, Mary C

246

Officers for 2012-2013 School Year 2013 Solar Decathlon Advisor: Dr. Hight  

E-Print Network (OSTI)

Officers for 2012-2013 School Year 2013 Solar Decathlon Advisor: Dr. Hight Project Manager - Jake_g@yahoo.com Workload/Project Management Leader ­ Nicole Pal npal@scu.edu Amateur Radio Club ­ SCUARC Advisor: Dr. Kitts Engineers ­ ASCE Advisors: Dr. Serrette & Dr. He President ­ Hayley Dickson hgdickson22@gmail.com VP ­ Satej

Holliday, JoAnne

247

Academic Advising Description: Advisors are a resource to serve as guides for navigating  

E-Print Network (OSTI)

Academic Advising Description: Advisors are a resource to serve as guides for navigating academic choices, policies, and requirements. Advisors are excited to meet with students and help them plan and achieve their goals. Academic advisors are well informed about the institution's resources available

Walker, Lawrence R.

248

Academic Advising: rights of students 1. The right to an advisor who fulfills the College  

E-Print Network (OSTI)

Academic Advising: rights of students 1. The right to an advisor who fulfills the College to an assigned advisor. 3. The right to protection and review of academic advising-related files and materials information as needed for academic planning. 5. The right to change your academic advisor assignment. 6

Keinan, Alon

249

Issues to consider when choosing a Research Advisor SIAM Student Chapter, Professional Development Day  

E-Print Network (OSTI)

Issues to consider when choosing a Research Advisor John Zweck SIAM Student Chapter, Professional Development Day February 10, 2009 What your MS/PhD/Postdoc advisor does for you 1. Helps select research field for research (At some point you will resent your advisor for this!) 5. Advises you as you write your first

Maryland, Baltimore County, University of

250

Energy Advisors at Work: Charity Work Practices to Support People in Fuel Poverty  

E-Print Network (OSTI)

Energy Advisors at Work: Charity Work Practices to Support People in Fuel Poverty Joel E. Fischer present an ethnographic study of energy advisors working for a charity that provides support, particularly, interactional work of energy advisors and clients during home visits, supplemented with interviews

251

WHAT SHOULD I EXPECT OF MY ADVISOR? Assistance in understanding the purposes,  

E-Print Network (OSTI)

WHAT SHOULD I EXPECT OF MY ADVISOR? Assistance in understanding the purposes, opportunities Colleges and Schools if I wish to gain more knowledge or change to one of them. WHAT SHOULD MY ADVISOR will explain to my Advisor any special circumstances that might impact on my academics, e.g. athletics

Arnold, Jonathan

252

To make an appointment with a Peer Advisor, visit the SURF  

E-Print Network (OSTI)

To make an appointment with a Peer Advisor, visit the SURF website at http:// www.unc.edu/depts/our/ students/fellowship_supp/ surf.html and scroll down to find the link to the SURF Peer Advisor Request Form by the Office for Undergraduate Research. peeradvising EUISMOD ELEMENTUM SURF Peer Advisors are available

Engel, Jonathan

253

SELECTION OF FACULTY RESEARCH ADVISOR (Submit to the Graduate Education Office, 4404 TBBC)  

E-Print Network (OSTI)

32 ` SELECTION OF FACULTY RESEARCH ADVISOR (Submit to the Graduate Education Office, 4404 TBBC) _____________________________________________________________(date) II. List your top three choices for your research advisor. 1st choice a Departmental Safety Seminar, and the research advisor must assume responsibility for his/her lack of training

Simons, Jack

254

ACADEMIC ADVISOR'S RECOMMENDATION FORM FOR EXTENSION OF TIME LIMITATION FOR A PROGRAM OF STUDY  

E-Print Network (OSTI)

ACADEMIC ADVISOR'S RECOMMENDATION FORM FOR EXTENSION OF TIME LIMITATION FOR A PROGRAM OF STUDY the extension period? Fall __ Spring ___ Summer Current U. S. Address: Home Country Address: (ADVISOR'S SECTION ON REVERSE) #12;Only Advisors may complete the following section (all information requested is required

Suzuki, Masatsugu

255

Updated 8/15/11 Undergraduate Academic Advising: Advisor Assignments in Banner1  

E-Print Network (OSTI)

Updated 8/15/11 1 Undergraduate Academic Advising: Advisor Assignments in Banner1 Academic Departments and Advising Centers are responsible for updating and "cleaning up" inaccurate academic advisor assignments in Banner. When a student is assigned a new or additional academic advisor, this assignment should

Kelly, Scott David

256

Prepared by DMS 2/09 STUDENT LEAVING CURRENT ADVISOR LAB  

E-Print Network (OSTI)

Prepared by DMS 2/09 STUDENT LEAVING CURRENT ADVISOR LAB Student Name: Program: G-Year: Current Advisor: Last Day In Lab: Reason for leaving lab: 1. Program Administrator provides form to student of rotation should be a maximum of six weeks in duration. Dissertation advisor support should start

Datta, Sandeep Robert

257

First-year advising in the College of Arts and A brief guide for faculty advisors  

E-Print Network (OSTI)

First-year advising in the College of Arts and Sciences A brief guide for faculty advisors Maria............................................................................................. 15 #12;2 Preface Who was the first faculty advisor? As an officially recognized title in the institutional organization of American higher education, that of "faculty advisor" is little more than a century

Davis, H. Floyd

258

Revised by VCS 2/10 STUDENT LEAVING CURRENT ADVISOR LAB  

E-Print Network (OSTI)

Revised by VCS 2/10 STUDENT LEAVING CURRENT ADVISOR LAB Student Name: Program: G-Year: Current Advisor: Last Day In Lab: Reason for leaving lab: 1. Program Administrator provides form to student (for DMS Use) Note to Students and Rotation Advisor: Students can rotate only in labs with faculty who

Bulyk, Martha L.

259

Nelson Institute Graduate Student Guidelines for Working with Your Faculty Advisor  

E-Print Network (OSTI)

1 Nelson Institute Graduate Student Guidelines for Working with Your Faculty Advisor Purpose Your with their advisors. We know some of these points may seem obvious, yet, in an interdisciplinary program like the Nelson Institute with a mix of students on professional and academic tracks, potential advisors

Wisconsin at Madison, University of

260

Preparation is Success!!! Student Advisors are here to assist students by providing a supportive environment  

E-Print Network (OSTI)

Preparation is Success!!! Student Advisors are here to assist students by providing a supportive. Understanding the problem can then help the advisor find the solution. The online schedule can be found to make decisions. Need help? What type of help do you need? Being clear on what you need from the advisor

Northern British Columbia, University of

Note: This page contains sample records for the topic "advisor model tool" 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

College & Department Advisor Phone Location College of Agriculture 406-994-  

E-Print Network (OSTI)

College & Department Advisor Phone Location College of Agriculture 406-994- General Agriculture Agricultural Education Office Assigns Advisor 2132 230 Linfield Animal & Range Sciences Denise Thompson 5582Carthy-Rogers 4503 213 Haynes Film & Photography Vicki Miller 2484 202 VCB (Front Desk) Music Office Assigns Advisors

Maxwell, Bruce D.

262

University of Hawai`i at Mnoa COUNCIL OF ACADEMIC ADVISORS  

E-Print Network (OSTI)

University of Hawai`i at Mnoa COUNCIL OF ACADEMIC ADVISORS BY-LAWS April 2013 ARTICLE I NAME The name of this organization shall be the Council of Academic Advisors, herein referred to as "CAA the schools, colleges, and campus-wide advising offices should be academic advisors from those units. CAA

263

Livestock Drought Feeding Glenn Nader, UCCE Farm Advisor  

E-Print Network (OSTI)

Livestock Drought Feeding Strategies Glenn Nader, UCCE Farm Advisor Yuba/Sutter/Butte Counties #12 for Energy and Protein #12;Canola meal #12;Canola Meal vs Other Common Byproduct Feeds (% of DM) Feed TDN CP.65/ton. #12;Impacts on Estimated Metabolizable Energy #12;#12;#12;Beef Cattle Eating Ensiled Rice Straw

Tate, Kenneth

264

Star-Forming Structures in Perseus Advisor: Prof. Alyssa Goodman  

E-Print Network (OSTI)

is a spectral energy dis- tribution (SED) shifted deep into the infrared, relative to a main sequence starStar-Forming Structures in Perseus Tom Laakso Advisor: Prof. Alyssa Goodman May 15th 2006 Abstract This year, both the Spitzer c2d legacy project and the COMPLETE survey have released new infrared

Harvard-Smithsonian Center for Astrophysics,

265

Advising Syllabus Mission: Advisors and students working together to develop  

E-Print Network (OSTI)

resources and services Interpret university requirements, policies, regulations, and procedures Develop://www.career.mtu.edu/ Complete Myplan and register in Nacelink Wellness and Counseling ­ www.counseling.mtu.edu/ Attend first with general sciences/arts undeclared advisor: http://www.csa.mtu.edu/GSA/advising.html or Meet with general

266

SuperLFV: An SLHA tool for lepton flavor violating observables in supersymmetric models  

E-Print Network (OSTI)

We introduce SuperLFV, a numerical tool for calculating low-energy LFV observables in the context of the minimal supersymmetric standard model (MSSM). As the Large Hadron Collider and MEG, a dedicated mu -> e gamma experiment, are presently acquiring data, there is need for tools that provide rapid discrimination of models that exhibit lepton flavor violation (LFV). SuperLFV accepts an SLHA-compliant spectrum file that contains the MSSM couplings and masses with complex phases at the supersymmetry breaking scale. In this manner, SuperLFV is compatible with but divorced from existing SLHA spectrum calculators that provides the low energy spectrum. Hence, input spectra are not confined to the LFV sources provided by established SLHA spectrum calculators. Input spectra may be generated by personal code or by hand, allowing for arbitrary models not supported by existing spectrum calculators.

Murakami, Brandon

2013-01-01T23:59:59.000Z

267

A Distributed Electrochemistry Modeling Tool for Simulating SOFC Performance and Degradation  

SciTech Connect

This report presents a distributed electrochemistry (DEC) model capable of investigating the electrochemistry and local conditions with the SOFC MEA based on the local microstructure and multi-physics. The DEC model can calculate the global current-voltage (I-V) performance of the cell as determined by the spatially varying local conditions through the thickness of the electrodes and electrolyte. The simulation tool is able to investigate the electrochemical performance based on characteristics of the electrode microstructure, such as particle size, pore size, electrolyte and electrode phase volume fractions, and triple-phase-boundary length. It can also investigate performance as affected by fuel and oxidant gas flow distributions and other environmental/experimental conditions such as temperature and fuel gas composition. The long-term objective for the DEC modeling tool is to investigate factors that cause electrode degradation and the decay of SOFC performance which decrease longevity.

Recknagle, Kurtis P.; Ryan, Emily M.; Khaleel, Mohammad A.

2011-10-13T23:59:59.000Z

268

Development and application of modeling tools for sodium fast reactor inspection  

SciTech Connect

To support the development of in-service inspection methods for the Advanced Sodium Test Reactor for Industrial Demonstration (ASTRID) project led by the French Atomic Energy Commission (CEA), several tools that allow situations specific to Sodium cooled Fast Reactors (SFR) to be modeled have been implemented in the CIVA software and exploited. This paper details specific applications and results obtained. For instance, a new specular reflection model allows the calculation of complex echoes from scattering structures inside the reactor vessel. EMAT transducer simulation models have been implemented to develop new transducers for sodium visualization and imaging. Guided wave analysis tools have been developed to permit defect detection in the vessel shell. Application examples and comparisons with experimental data are presented.

Le Bourdais, Florian; Marchand, Benot; Baronian, Vahan [CEA LIST, Centre de Saclay F-91191 Gif-sur-Yvette (France)

2014-02-18T23:59:59.000Z

269

Hanford River Protection Project Life cycle Cost Modeling Tool to Enhance Mission Planning - 13396  

SciTech Connect

The Life cycle Cost Model (LCM) Tool is an overall systems model that incorporates budget, and schedule impacts for the entire life cycle of the River Protection Project (RPP) mission, and is replacing the Hanford Tank Waste Operations Simulator (HTWOS) model as the foundation of the RPP system planning process. Currently, the DOE frequently requests HTWOS simulations of alternative technical and programmatic strategies for completing the RPP mission. Analysis of technical and programmatic changes can be performed with HTWOS; however, life cycle costs and schedules were previously generated by manual transfer of time-based data from HTWOS to Primavera P6. The LCM Tool automates the preparation of life cycle costs and schedules and is needed to provide timely turnaround capability for RPP mission alternative analyses. LCM is the simulation component of the LCM Tool. The simulation component is a replacement of the HTWOS model with new capability to support life cycle cost modeling. It is currently deployed in G22, but has been designed to work in any full object-oriented language with an extensive feature set focused on networking and cross-platform compatibility. The LCM retains existing HTWOS functionality needed to support system planning and alternatives studies going forward. In addition, it incorporates new functionality, coding improvements that streamline programming and model maintenance, and capability to input/export data to/from the LCM using the LCM Database (LCMDB). The LCM Cost/Schedule (LCMCS) contains cost and schedule data and logic. The LCMCS is used to generate life cycle costs and schedules for waste retrieval and processing scenarios. It uses time-based output data from the LCM to produce the logic ties in Primavera P6 necessary for shifting activities. The LCM Tool is evolving to address the needs of decision makers who want to understand the broad spectrum of risks facing complex organizations like DOE-RPP to understand how near-term programmatic decisions affect life cycle costs and commitments. (authors)

Dunford, Gary [AEM Consulting, LLC, 1201 Jadwin Avenue, Richland, WA 99352 (United States)] [AEM Consulting, LLC, 1201 Jadwin Avenue, Richland, WA 99352 (United States); Williams, David [WIT, Inc., 11173 Oak Fern Court, San Diego, CA 92131 (United States)] [WIT, Inc., 11173 Oak Fern Court, San Diego, CA 92131 (United States); Smith, Rick [Knowledge Systems Design, Inc., 13595 Quaker Hill Cross Rd, Nevada City, CA 95959 (United States)] [Knowledge Systems Design, Inc., 13595 Quaker Hill Cross Rd, Nevada City, CA 95959 (United States)

2013-07-01T23:59:59.000Z

270

Tool support for generating model-based test cases via web  

Science Journals Connector (OSTI)

Testing activities play an important role in order to obtain high quality software products. These activities become more important when considering critical software, for instance, space application software. Nowadays, there is an extensive collaboration among space institutions. So, it is more than natural to expect distributed development of software and software testing activities. Therefore, a collaborative tool hosted on the internet becomes quite useful. In this respect, WEB-PerformCharts 2.0 tool discussed in this paper moves in this direction. The tool focuses on supporting a single aspect of distributed software development: the activity of generating test cases via web. Moreover, it allows model-based test case generation by means of formal methods (formal languages statecharts and FSM) which are considered state of the art in software development. WEB-PerformCharts 2.0 can be used to generate test cases for any kind of reactive systems modelled in statecharts or FSM. We present three case studies in different application domains to demonstrate the feasibility of our tool.

Alessandro Oliveira Arantes; Valdivino Alexandre De Santiago Júnior; Nandamudi Lankalapalli Vijaykumar; Erica Ferreira De Souza

2014-01-01T23:59:59.000Z

271

Forest landscape models, a tool for understanding the effect of the large-scale and long-term landscape processes  

E-Print Network (OSTI)

Editorial Forest landscape models, a tool for understanding the effect of the large-scale and long-term landscape processes Forest landscape models have become important tools for understanding large-scale and long-term landscape (spatial) processes such as climate change, fire, windthrow, seed dispersal, insect

He, Hong S.

272

Date Created: 1/24/2012 12:12:00 PM Page 1 View Your Program Advisor  

E-Print Network (OSTI)

Job Aid Date Created: 1/24/2012 12:12:00 PM Page 1 View Your Program Advisor 1. Click the Self Service link. 2. Click the Student Center link. 3. Your Advisor's name and phone number is display in the Advisor section on the Student Center page. Click the Details link in the Advisor Section to access your

273

Date Created: 1/16/2014 11:59:00 AM Page 1 View Your Program Advisor  

E-Print Network (OSTI)

Job Aid Date Created: 1/16/2014 11:59:00 AM Page 1 View Your Program Advisor 1. Click the Main Menu button. Click the Self Service menu. Click the Student Center menu. 2. Your Advisor's name and phone number displays in the Advisor section of the Student Center. Click the Details link in the Advisor

274

Dissertation Permit Form Revised 09/09 CSE Ph.D. ADVISOR SELECTION AND PRE-DISSERTATION (8999) PERMIT FORM  

E-Print Network (OSTI)

Dissertation Permit Form­ Revised 09/09 CSE Ph.D. ADVISOR SELECTION AND PRE-DISSERTATION (8999) hours, you must have a permanent advisor and have not passed the qualifier. You must complete this form in consultation with your dissertation advisor. Bring the signed form to the Academic Advisor in Computational

Gray, Alexander

275

Multi-Scale Modeling Tools to Enable Manufacturing-Informed Design  

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

Micro-structural modeling tools for metals are being developed and used to demonstrate a design framework to improve the understanding of dynamic response and statistical variability. This project will enable design engineers to evaluate the effects of design changes and material selection; anticipate quality and cost prior to implementation on the factory floor; and enable low-waste, low-cost manufacturing. Third Wave Systems, Inc. - Minneapolis, MN

276

Global search tool for the Advanced Photon Source Integrated Relational Model of Installed Systems (IRMIS) database.  

SciTech Connect

The Integrated Relational Model of Installed Systems (IRMIS) is a relational database tool that has been implemented at the Advanced Photon Source to maintain an updated account of approximately 600 control system software applications, 400,000 process variables, and 30,000 control system hardware components. To effectively display this large amount of control system information to operators and engineers, IRMIS was initially built with nine Web-based viewers: Applications Organizing Index, IOC, PLC, Component Type, Installed Components, Network, Controls Spares, Process Variables, and Cables. However, since each viewer is designed to provide details from only one major category of the control system, the necessity for a one-stop global search tool for the entire database became apparent. The user requirements for extremely fast database search time and ease of navigation through search results led to the choice of Asynchronous JavaScript and XML (AJAX) technology in the implementation of the IRMIS global search tool. Unique features of the global search tool include a two-tier level of displayed search results, and a database data integrity validation and reporting mechanism.

Quock, D. E. R.; Cianciarulo, M. B.; APS Engineering Support Division; Purdue Univ.

2007-01-01T23:59:59.000Z

277

The Aerosol Modeling Testbed: A community tool to objectively evaluate aerosol process modules  

SciTech Connect

This study describes a new modeling paradigm that significantly advances how the third activity is conducted while also fully exploiting data and findings from the first two activities. The Aerosol Modeling Testbed (AMT) is a computational framework for the atmospheric sciences community that streamlines the process of testing and evaluating aerosol process modules over a wide range of spatial and temporal scales. The AMT consists of a fully-coupled meteorology-chemistry-aerosol model, and a suite of tools to evaluate the performance of aerosol process modules via comparison with a wide range of field measurements. The philosophy of the AMT is to systematically and objectively evaluate aerosol process modules over local to regional spatial scales that are compatible with most field campaigns measurement strategies. The performance of new treatments can then be quantified and compared to existing treatments before they are incorporated into regional and global climate models. Since the AMT is a community tool, it also provides a means of enhancing collaboration and coordination among aerosol modelers.

Fast, Jerome D.; Gustafson, William I.; Chapman, Elaine G.; Easter, Richard C.; Rishel, Jeremy P.; Zaveri, Rahul A.; Grell, Georg; Barth, Mary

2011-03-02T23:59:59.000Z

278

Streaming Graph Computations with a Helpful Advisor  

E-Print Network (OSTI)

Motivated by the trend to outsource work to commercial cloud computing services, we consider a variation of the streaming paradigm where a streaming algorithm can be assisted by a powerful helper that can provide annotations to the data stream. We extend previous work on such {\\em annotation models} by considering a number of graph streaming problems. Without annotations, streaming algorithms for graph problems generally require significant memory; we show that for many standard problems, including all graph problems that can be expressed with totally unimodular integer programming formulations, only a constant number of hash values are needed for single-pass algorithms given linear-sized annotations. We also obtain a protocol achieving \\textit{optimal} tradeoffs between annotation length and memory usage for matrix-vector multiplication; this result contributes to a trend of recent research on numerical linear algebra in streaming models.

Cormode, Graham; Thaler, Justin

2010-01-01T23:59:59.000Z

279

Task 3.11 -- Fuel Quality Advisor. Topical report, January 1, 1995--September 30, 1996  

SciTech Connect

The objective of the Fuel Quality Advisor (FQA) project was to create a generalized software package capable of advising operations, purchasing, environmental, and maintenance personnel in making decisions related to the use of coal in electricity generation facilities. The specific goals for this project work included the following: develop a standardized computer shell to integrate existing and future algorithms; develop a strategy for integrating the shell with future databases and boiler models; integrate the current ash transformation and deposition algorithms into the shell; generate algorithms for coal handleability through experimentation and integrate them into the code; and enhance the current ash transformation algorithms for low-NOx and entrained gasification through laboratory experimentation and integrate available full-scale results into the code. The program was divided into four primary thrust areas: development of the computerized shell and interface; development of the coal handleability advisor; enhancement of ash formation algorithms; and the enhancement of ash fouling algorithms. Accomplishments in each of these four areas are described in detail below.

NONE

1996-12-31T23:59:59.000Z

280

What I Heard About Energy Policy through Advise the Advisor | Department of  

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

What I Heard About Energy Policy through Advise the Advisor What I Heard About Energy Policy through Advise the Advisor What I Heard About Energy Policy through Advise the Advisor April 22, 2011 - 1:07pm Addthis A word cloud of feedback from the Advise the Advisor program. | Illustration Courtesy of Wordle.net A word cloud of feedback from the Advise the Advisor program. | Illustration Courtesy of Wordle.net Secretary Chu Secretary Chu Former Secretary of Energy Editor's Note: Cross posted from the White House Blog. Earlier this month, I asked the public for feedback on energy policy as part of the White House's "Advise the Advisor" program. Specifically, we asked for your comments and ideas about President Obama's goal of reducing the amount of oil we import by a third in a little over a decade, along with the need to both increase our domestic energy production and

Note: This page contains sample records for the topic "advisor model tool" 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

What I Heard About Energy Policy through Advise the Advisor | Department of  

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

What I Heard About Energy Policy through Advise the Advisor What I Heard About Energy Policy through Advise the Advisor What I Heard About Energy Policy through Advise the Advisor April 22, 2011 - 1:07pm Addthis A word cloud of feedback from the Advise the Advisor program. | Illustration Courtesy of Wordle.net A word cloud of feedback from the Advise the Advisor program. | Illustration Courtesy of Wordle.net Secretary Chu Secretary Chu Former Secretary of Energy Editor's Note: Cross posted from the White House Blog. Earlier this month, I asked the public for feedback on energy policy as part of the White House's "Advise the Advisor" program. Specifically, we asked for your comments and ideas about President Obama's goal of reducing the amount of oil we import by a third in a little over a decade, along with the need to both increase our domestic energy production and

282

Mike Carr Senior Advisor to the Director, Energy Policy and Systems...  

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

Written Statement of Mike Carr Senior Advisor to the Director, Energy Policy and Systems Analysis and Principal Deputy Assistant Secretary Office of Energy Efficiency and Renewable...

283

E-Print Network 3.0 - advisor system amas Sample Search Results  

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

amas Search Powered by Explorit Topic List Advanced Search Sample search results for: advisor system amas Page: << < 1 2 3 4 5 > >> 1 Molecular Ecology Resources (2008) 8,...

284

Developing decision support tools for rangeland management by combining state and transition models and Bayesian belief networks  

E-Print Network (OSTI)

Developing decision support tools for rangeland management by combining state and transition models 2008 Keywords: Rangeland management State and transition model Queensland Bayesian belief network Adaptive management Decision support a b s t r a c t State and transition models provide a simple

285

4th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools, September, 2011, ETH Zrich, Switzerland.  

E-Print Network (OSTI)

4th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools is an equation-based, object- oriented mathematical modeling language suited to modeling complex physical systems in Modelica Toby Myers1 Wladimir Schamai2 Peter Fritzson3 1 Institute of Intelligent and Integrated Systems

Zhao, Yuxiao

286

Ordinal Logistic Regression Model of Failure Mode and Effects Analysis (FMEA) in Pharmaceutical Tabletting Tools  

Science Journals Connector (OSTI)

The main objective of this paper is to use Ordinal Logistic Regression Modeling (OLRM) to predict and to investigate the relationship(s) between the different types of failures encountered in tableting tools of pharmaceutical industry and relevant tablet- and punch attributes. This would help minimize the occurrence of such failures in and avoid potential failure occurrences in future punch designs. Three punch attributes (punch diameter, location and shape) and five product attributes (tablet mass (gm), hardness (Kp), thickness (mm), moisture content (percent loss on drying (LOD %)) and sieve size (mm)) have been investigated in terms of their relative contributions towards different failure types. The present OLRM model has been successfully applied to the predict failure types according to the aforementioned factors. Furthermore, OLRM quantitatively links and evaluates the effects and contribution of each of these factors to the occurrence of different failure types. The OLRM methodology has been validated conveniently and proved to be powerful prediction tool. This is indicated by the marginal 2.4% error percentage encountered.

Mohammad D. AL-Tahat; Abdul Kareem M. Abdul Jawwad; Yousef L. Abu Nahleh

2013-01-01T23:59:59.000Z

287

Foundation Heat Exchanger Final Report: Demonstration, Measured Performance, and Validated Model and Design Tool  

SciTech Connect

Geothermal heat pumps, sometimes called ground-source heat pumps (GSHPs), have been proven capable of significantly reducing energy use and peak demand in buildings. Conventional equipment for controlling the temperature and humidity of a building, or supplying hot water and fresh outdoor air, must exchange energy (or heat) with the building's outdoor environment. Equipment using the ground as a heat source and heat sink consumes less non-renewable energy (electricity and fossil fuels) because the earth is cooler than outdoor air in summer and warmer in winter. The most important barrier to rapid growth of the GSHP industry is high first cost of GSHP systems to consumers. The most common GSHP system utilizes a closed-loop ground heat exchanger. This type of GSHP system can be used almost anywhere. There is reason to believe that reducing the cost of closed-loop systems is the strategy that would achieve the greatest energy savings with GSHP technology. The cost premium of closed-loop GSHP systems over conventional space conditioning and water heating systems is primarily associated with drilling boreholes or excavating trenches, installing vertical or horizontal ground heat exchangers, and backfilling the excavations. This project investigates reducing the cost of horizontal closed-loop ground heat exchangers by installing them in the construction excavations, augmented when necessary with additional trenches. This approach applies only to new construction of residential and light commercial buildings or additions to such buildings. In the business-as-usual scenario, construction excavations are not used for the horizontal ground heat exchanger (HGHX); instead the HGHX is installed entirely in trenches dug specifically for that purpose. The potential cost savings comes from using the construction excavations for the installation of ground heat exchangers, thereby minimizing the need and expense of digging additional trenches. The term foundation heat exchanger (FHX) has been coined to refer exclusively to ground heat exchangers installed in the overcut around the basement walls. The primary technical challenge undertaken by this project was the development and validation of energy performance models and design tools for FHX. In terms of performance modeling and design, ground heat exchangers in other construction excavations (e.g., utility trenches) are no different from conventional HGHX, and models and design tools for HGHX already exist. This project successfully developed and validated energy performance models and design tools so that FHX or hybrid FHX/HGHX systems can be engineered with confidence, enabling this technology to be applied in residential and light commercial buildings. The validated energy performance model also addresses and solves another problem, the longstanding inadequacy in the way ground-building thermal interaction is represented in building energy models, whether or not there is a ground heat exchanger nearby. Two side-by-side, three-level, unoccupied research houses with walkout basements, identical 3,700 ft{sup 2} floor plans, and hybrid FHX/HGHX systems were constructed to provide validation data sets for the energy performance model and design tool. The envelopes of both houses are very energy efficient and airtight, and the HERS ratings of the homes are 44 and 45 respectively. Both houses are mechanically ventilated with energy recovery ventilators, with space conditioning provided by water-to-air heat pumps with 2 ton nominal capacities. Separate water-to-water heat pumps with 1.5 ton nominal capacities were used for water heating. In these unoccupied research houses, human impact on energy use (hot water draw, etc.) is simulated to match the national average. At House 1 the hybrid FHX/HGHX system was installed in 300 linear feet of excavation, and 60% of that was construction excavation (needed to construct the home). At House 2 the hybrid FHX/HGHX system was installed in 360 feet of excavation, 50% of which was construction excavation. There are six pipes in all excavations (three par

Hughes, Patrick [ORNL; Im, Piljae [ORNL

2012-01-01T23:59:59.000Z

288

Reservoir Modeling by Data Integration via Intermediate Spaces and Artificial Intelligence Tools in MPS Simulation Frameworks  

SciTech Connect

Conditioning stochastic simulations are very important in many geostatistical applications that call for the introduction of nonlinear and multiple-point data in reservoir modeling. Here, a new methodology is proposed for the incorporation of different data types into multiple-point statistics (MPS) simulation frameworks. Unlike the previous techniques that call for an approximate forward model (filter) for integration of secondary data into geologically constructed models, the proposed approach develops an intermediate space where all the primary and secondary data are easily mapped onto. Definition of the intermediate space, as may be achieved via application of artificial intelligence tools like neural networks and fuzzy inference systems, eliminates the need for using filters as in previous techniques. The applicability of the proposed approach in conditioning MPS simulations to static and geologic data is verified by modeling a real example of discrete fracture networks using conventional well-log data. The training patterns are well reproduced in the realizations, while the model is also consistent with the map of secondary data.

Ahmadi, Rouhollah, E-mail: rouhollahahmadi@yahoo.com [Amirkabir University of Technology, PhD Student at Reservoir Engineering, Department of Petroleum Engineering (Iran, Islamic Republic of)] [Amirkabir University of Technology, PhD Student at Reservoir Engineering, Department of Petroleum Engineering (Iran, Islamic Republic of); Khamehchi, Ehsan [Amirkabir University of Technology, Faculty of Petroleum Engineering (Iran, Islamic Republic of)] [Amirkabir University of Technology, Faculty of Petroleum Engineering (Iran, Islamic Republic of)

2013-12-15T23:59:59.000Z

289

Mixed Mode Simulation Tools  

E-Print Network (OSTI)

with the whole building modeling tool, but the details ofused (e.g. whole building energy modeling or CAD tool),guide to modeling NV and MM buildings in the research or

Gandhi, Priya; Brager, Gail; Dutton, Spencer

2014-01-01T23:59:59.000Z

290

V. GUIDELINES FOR THE PROSPECTUS (PROPOSAL) Please consult your thesis advisor for the specific content and format for your thesis prospectus.  

E-Print Network (OSTI)

V. GUIDELINES FOR THE PROSPECTUS (PROPOSAL) Please consult your thesis advisor for the specific/Thesis Advisor must forward the Prospectus (Proposal) with the signed title page to the Graduate Program Advisor

de Lijser, Peter

291

PROTECT: Proximity-based Trust-advisor using Encounters for Mobile Societies  

E-Print Network (OSTI)

Many interactions between network users rely on trust, which is becoming particularly important given the security breaches in the Internet today. These problems are further exacerbated by the dynamics in wireless mobile networks. In this paper we address the issue of trust advisory and establishment in mobile networks, with application to ad hoc networks, including DTNs. We utilize encounters in mobile societies in novel ways, noticing that mobility provides opportunities to build proximity, location and similarity based trust. Four new trust advisor filters are introduced - including encounter frequency, duration, behavior vectors and behavior matrices - and evaluated over an extensive set of real-world traces collected from a major university. Two sets of statistical analyses are performed; the first examines the underlying encounter relationships in mobile societies, and the second evaluates DTN routing in mobile peer-to-peer networks using trust and selfishness models. We find that for the analyzed trace...

Kumar, Udayan; Helmy, Ahmed

2010-01-01T23:59:59.000Z

292

Education and Professional Positions 2013 now Postdoctoral associate, advisor: Prof. Omar M. Yaghi  

E-Print Network (OSTI)

of Washington, Lecture and Defense, Poster 2011 May National Science Foundation Officer Site Visit at the CenterJian Yuan Education and Professional Positions 2013 ­ now Postdoctoral associate, advisor: Prof, Dartmouth College, Hanover, NH 2000 ­2004 Bachelor of Science, advisor: Prof. Zhenfeng Xi The college

Yaghi, Omar M.

293

Harry Greenspun, M.D. Senior Advisor, Health Care Transformation & Technology  

E-Print Network (OSTI)

Harry Greenspun, M.D. Senior Advisor, Health Care Transformation & Technology Deloitte Center for Health Solutions Deloitte LLP Bio highlights Harry Greenspun, M.D., is the Senior Advisor for Health Care a diverse range of clinical and executive roles, and is now responsible for helping Deloitte's health care

Stanford, Kyle

294

System Advisor Model Enhancements for CSP- FY13 Q1  

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

This document summarizes the progress of this NREL project, funded by SunShot, for the first quarter of fiscal year 2013.

295

NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)  

SciTech Connect

The energy market is diversifying. In addition to traditional power sources, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex performance characteristics and economics that vary with location and other project specifics, making it difficult to analyze the viability of such projects. But that analysis is easier now, thanks to the National Renewable Energy Laboratory (NREL).

Not Available

2011-10-01T23:59:59.000Z

296

Student ID Advisor 1st Year Fall __________ (year) 1st Year Spr. __________ (year) 1st Year Sum. __________ (year)  

E-Print Network (OSTI)

Name Major Student ID Advisor 1st Year Fall __________ (year) 1st Year Spr. __________ (year) 1st) Projected Graduation Date SUBJECT SUBJECT CR. HRS. SUBJECT COURSE # CR. HRS. Advisor Signature Date Student

Barrash, Warren

297

Virtual control system environment: A modeling and simulation tool for process control systems  

SciTech Connect

The development of tools and techniques for security testing and performance testing of Process Control Systems (PCS) is needed since those systems are vulnerable to the same classes of threats as other networked computer systems. In practice, security testing is difficult to perform on operational PCS because it introduces an unacceptable risk of disruption to the critical systems (e.g., power grids) that they control. In addition, the hardware used in PCS is often expensive, making full-scale mockup systems for live experiments impractical. A more flexible approach to these problems can be provided through test beds that provide the proper mix of real, emulated, and virtual elements to model large, complex systems such as critical infrastructures. This paper describes a 'Virtual Control System Environment' that addresses these issues. (authors)

Lee, E.; Michalski, J.; Sholander, P.; Van Leeuwen, B. [Sandia National Laboratories, Albuquerque, NM 87111 (United States)

2006-07-01T23:59:59.000Z

298

Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches  

Science Journals Connector (OSTI)

Abstract A sustainable building is constructed of materials that could decrease environmental impacts, such as energy usage, during the lifecycle of the building. Building Information Modeling (BIM) has been identified as an effective tool for building performance analysis virtually in the design stage. The main aims of this study were to assess various combinations of materials using BIM and identify alternative, sustainable solutions to reduce operational energy consumption. The amount of energy consumed by a double story bungalow house in Johor, Malaysia, and assessments of alternative material configurations to determine the best energy performance were evaluated by using Revit Architecture 2012 and Autodesk Ecotect Analysis software to show which of the materials helped in reducing the operational energy use of the building to the greatest extent throughout its annual life cycle. At the end, some alternative, sustainable designs in terms of energy savings have been suggested.

Mojtaba Valinejad Shoubi; Masoud Valinejad Shoubi; Ashutosh Bagchi; Azin Shakiba Barough

2014-01-01T23:59:59.000Z

299

The College of Nursing will be conducting live, informational webinars regarding the V-CARE program. Webinars will be conducted by a USF pre-Nursing Advisor and a USF Nursing Advisor and include information  

E-Print Network (OSTI)

. Webinars will be conducted by a USF pre-Nursing Advisor and a USF Nursing Advisor and include information-CARE Admission and pre-Nursing advisor by calling 813-974-3819, emailing KirstenManzi@health.usf.edu, or making

Meyers, Steven D.

300

Geodesic Bezier Curves: a Tool for Modeling on Triangulations Dimas Martinez Morera Paulo Cezar Carvalho Luiz Velho  

E-Print Network (OSTI)

Geodesic B´ezier Curves: a Tool for Modeling on Triangulations Dimas Mart´inez Morera Paulo Cezar is trimmed, final result. Abstract We define a new class of curves, called geodesic B´ezier curves care is taken to achieve interactive rates for modeling tasks. Keywords: Geodesic B´ezier Curve

Note: This page contains sample records for the topic "advisor model tool" 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

A BRIEF GUIDE TO FIRST-YEAR ADVISING Introduction: The Roles of the First-Year Advisor  

E-Print Network (OSTI)

A BRIEF GUIDE TO FIRST-YEAR ADVISING Introduction: The Roles of the First-Year Advisor The faculty. This handbook will help orient you in your job as a first-year advisor. The handbook is divided into two parts-major advisor. The second half of this handbook is a series of more detailed descriptions of resources, classes

Aalberts, Daniel P.

302

5.5 ACADEMIC ADVISORS The various MMath/BSc (Honours) programmes offered by the School of  

E-Print Network (OSTI)

5.5 ACADEMIC ADVISORS The various MMath/BSc (Honours) programmes offered by the School that a student may feel lost or overlooked. That is why each student is assigned an Academic Advisor who any other reason for being away from the university you must always inform your Academic Advisor. (See

Sidorov, Nikita

303

Whetten Graduate Center 438 Whitney Road Extension, Unit 1006 Storrs, Connecticut 06269-1006 CHANGE OF MAJOR ADVISOR FORM  

E-Print Network (OSTI)

OF MAJOR ADVISOR FORM Submit this form, when completed and signed, to the Graduate School (Box U-1006, Whetten Graduate Center). When the change has been recorded, photocopies are sent to the new major advisor, the former major advisor, and the student. The Graduate School retains the original. Student Name: Effective

Blei, Ron

304

UNIVERSITY ORAL EXAMINATION PROCEDURES Once your advisor has determined that you have met the departmental requirements for  

E-Print Network (OSTI)

UNIVERSITY ORAL EXAMINATION PROCEDURES Once your advisor has determined that you have met the departmental requirements for the University Oral Exam: ¨ In consultation with your advisor, select your Oral research advisor. The remainder of your committee will consist of four examiners including your principal

Prinz, Friedrich B.

305

College of Engineering Peer Advisor Return completed application materials by 3:00 pm on March 7th  

E-Print Network (OSTI)

1 College of Engineering Peer Advisor Return completed application materials by 3:00 pm on March 7 to advise groups of students. Position Description: At SOAR, Peer Advisors will work in teams with College of Engineering professional advisors to help incoming freshmen and transfer students explore academic programs

Evans, Paul G.

306

Geology and Geophysics at the University of Utah Advisors for Undergraduate Geology & Geophysics Students (2014-15 academic year)  

E-Print Network (OSTI)

Geology and Geophysics at the University of Utah Advisors for Undergraduate Geology & Geophysics Martinez (email: judy.martinez@utah.edu, office: 383 FASB, phone: 801-581-6553) Faculty Advisors-581-7250) Faculty Advisor for Environmental Science Emphasis, Geoscience Major ­ Prof. Dave Dinter (email: david

Johnson, Cari

307

Thesis Defense: Faculty advisor The thesis defense is the culmination of completing course work, laboratory research and  

E-Print Network (OSTI)

1 Thesis Defense: Faculty advisor The thesis defense is the culmination of completing course work of the student and of the advisor in these steps. Below is a brief table of what we have seen commonly being/or clear communication between the student, faculty advisor, and thesis advisory committee about degree

Sheridan, Jennifer

308

ACADEMIC INTERESTS We will do our best to assign a faculty advisor with whom you share an academic interest. Please  

E-Print Network (OSTI)

1 ACADEMIC INTERESTS We will do our best to assign a faculty advisor with whom you share the questions below so that we can create a good match between you and your faculty advisor. The information you provide will also be shared with your faculty advisor to assist him or her in working with you. 1. Some

Royer, Dana

309

Equality Advisor (Race, Religion and Belief) The Equality and Diversity Unit works in partnership with University bodies, academic  

E-Print Network (OSTI)

Equality Advisor (Race, Religion and Belief) The Equality and Diversity Unit works in partnership and cultural awareness. The Equality Advisor in this area also facilitates the Race Equality Network, for both staff and students. Equality Advisor for Race, Religion and Belief has responsibility for: · considering

Henderson, Gideon

310

WHITE Co-Op Office YELLOW Advisor PINK Employer GOLD Student coop: 02-2011 WEST VIRGINIA UNIVERSITY  

E-Print Network (OSTI)

WHITE ­ Co-Op Office YELLOW ­ Advisor PINK ­ Employer GOLD ­ Student coop: 02-2011 WEST VIRGINIA and Mineral Resources and the employer. 4. Consult your academic advisor to closely arrange and monitor your _____________________ Date __________ Academic Advisor _____________________ Department _____________________ Date

Mohaghegh, Shahab

311

POLICIES AND PROCESSES FOR THE APPROVAL OF OFFICE OF THE REGISTRAR Departmental Head Advisor Approved Petitions and Forms  

E-Print Network (OSTI)

Advisor Approved Petitions and Forms The College of Agricultural Sciences distributes approval for the following Office of the Registrar petitions and forms to the departmental head advisors, only. Please note that some forms contain sections requiring college head advisor approval, and some have time limitations

Tullos, Desiree

312

Geology and Geophysics at the University of Utah Advisors for Undergraduate Geology & Geophysics Students (2013-14 academic year)  

E-Print Network (OSTI)

Geology and Geophysics at the University of Utah Advisors for Undergraduate Geology & Geophysics Martinez (email: judy.martinez@utah.edu, office: 383 FASB, phone: 801-581-6553) Faculty Advisors Advisor for Environmental Science Emphasis, Geoscience Major ­ Prof. Dave Dinter (email: david

Johnson, Cari

313

A GIS tool for the evaluation of the precipitation forecasts of a numerical weather prediction model using satellite data  

Science Journals Connector (OSTI)

In this study, the possibility of implementing Geographic Information Systems (GIS) for developing an integrated and automatic operational system for the real-time evaluation of the precipitation forecasts of the numerical weather prediction model BOLAM (BOlogna Limited Area Model) in Greece, is examined. In fact, the precipitation estimates derived by an infrared satellite technique are used for real-time qualitative and quantitative verification of the precipitation forecasts of the model BOLAM through the use of a GIS tool named as precipitation forecasts evaluator (PFE). The application of the developed tool in a case associated with intense precipitation in Greece, suggested that PFE could be a very important support tool for nowcasting and very short-range forecasting of such events.

Haralambos Feidas; Themistoklis Kontos; Nikolaos Soulakellis; Konstantinos Lagouvardos

2007-01-01T23:59:59.000Z

314

Moffat Appointed Senior Advisor for Life Sciences at the APS  

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

Gluskin of ASD Elected to AAAS Fellowship Gluskin of ASD Elected to AAAS Fellowship Jacobsen of XSD Elected to American Physical Society Fellowship Chapman of XSD Wins Oxford Cryosystems Poster Prize Office of Science Approves Critical Decision 1 for APS Upgrade Project Argonne Breaks Ground on $34.5M MX Research Facility APS News Archives: 2012 | 2011 | 2010 | 2009 2008 | 2007 | 2006 | 2005 2004 | 2003 | 2002 | 2001 2000 Subscribe to APS News rss feed Moffat Appointed Senior Advisor for Life Sciences at the APS NOVEMBER 30, 2011 Bookmark and Share Keith Moffat The Advanced Photon Source (APS) is the Western Hemisphere's most powerful source of x-rays for research. It attracts more than 4,000 users from academia, industry, and government laboratories around the world each year for research in all fields of science. In particular, almost half of

315

Transient Heat and Material Flow Modeling of Friction Stir Processing of Magnesium Alloy using Threaded Tool  

SciTech Connect

A three-dimensional transient computational fluid dynamics (CFD) model was developed to investigate the material flow and heat transfer during friction stir processing (FSP) in an AZ31B magnesium alloy. The material was assumed to be a non-Newtonian viscoplastic fluid, and the Zener-Hollomon parameter was used to describe the dependence of material viscosity on temperature and strain rate. The material constants used in the constitutive equation were determined experimentally from compression tests of the AZ31B Mg alloy under a wide range of strain rates and temperatures. A dynamic mesh method, combining both Lagrangian and Eulerian formulations, was used to capture the material flow induced by the movement of the threaded tool pin. Massless inert particles were embedded in the simulation domain to track the detailed history of material flow. The actual FSP was also carried out on a wrought Mg plate where temperature profiles were recorded by embedding thermocouples. The predicted transient temperature history was found to be consistent with that measured during FSP. Finally, the influence of the thread on the simulated results of thermal history and material flow was studied by comparing two models: one with threaded pin and the other with smooth pin surface.

Yu, Zhenzhen [ORNL; Zhang, Wei [ORNL; Choo, Hahn [ORNL; Feng, Zhili [ORNL

2012-01-01T23:59:59.000Z

316

Mobile Building Energy Audit and Modeling Tools: Cooperative Research and Development Final Report, CRADA Number CRD-11-00441  

SciTech Connect

Broadly accessible, low cost, accurate, and easy-to-use energy auditing tools remain out of reach for managers of the aging U.S. building population (over 80% of U.S. commercial buildings are more than 10 years old*). concept3D and NREL's commercial buildings group will work to translate and extend NREL's existing spreadsheet-based energy auditing tool for a browser-friendly and mobile-computing platform. NREL will also work with concept3D to further develop a prototype geometry capture and materials inference tool operable on a smart phone/pad platform. These tools will be developed to interoperate with NREL's Building Component Library and OpenStudio energy modeling platforms, and will be marketed by concept3D to commercial developers, academic institutions and governmental agencies. concept3D is NREL's lead developer and subcontractor of the Building Component Library.

Brackney, L.

2013-04-01T23:59:59.000Z

317

Tools to support a model-based methodology for emission/immission and benefit/cost/risk analysis of wastewater systems that considers uncertainty  

Science Journals Connector (OSTI)

This paper presents a set of tools developed to support an innovative methodology to design and upgrade wastewater treatment systems in a probabilistic way. For the first step, data reconstruction, two different tools were developed, one for situations ... Keywords: Cost-benefit analysis, Grid computing, Modelling and simulation, Risk, Software tools, Wastewater treatment plant design

Lorenzo Benedetti; Davide Bixio; Filip Claeys; Peter A. Vanrolleghem

2008-08-01T23:59:59.000Z

318

Tips for Advising Success in Environmental Sciences Your success at OSU is your responsibility, but your advisor is one of the resources at OSU that can  

E-Print Network (OSTI)

, but your advisor is one of the resources at OSU that can help you. Advisors can assist with problems careers. Here are tips to help YOU maximize your advising experience. 1. Meet with an advisor regularly. You will have to meet with your advisor every spring to get a new PIN number. It's recommended

319

Advisor change form.doc; 8/10/2004 Whetten Graduate Center 438 Whitney Road Extension, Unit 1006 Storrs, Connecticut 06269-1006  

E-Print Network (OSTI)

Advisor change form.doc; 8/10/2004 Whetten Graduate Center 438 Whitney Road Extension, Unit 1006 Storrs, Connecticut 06269-1006 CHANGE OF MAJOR ADVISOR FORM Submit this form, when completed and signed are sent to the new major advisor, the former major advisor, and the student. The Graduate School retains

Kim, Duck O.

320

A resource that may guide and support your efforts as a chapter advisor. Greek Life in the Division of Student Affairs  

E-Print Network (OSTI)

A resource that may guide and support your efforts as a chapter advisor. Greek Life in the Division of Student Affairs John W. Elrod Commons Advisor manual W&L Greek Life #12;Advisor Expectations 1. Serves as an advisor to the chapter officers regarding: a. University policy concerning fraternities/sororities b

Marsh, David

Note: This page contains sample records for the topic "advisor model tool" 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

Modeling Miscanthus in the Soil and Water Assessment Tool (SWAT) to Simulate Its Water Quality Effects As a Bioenergy Crop  

Science Journals Connector (OSTI)

Modeling Miscanthus in the Soil and Water Assessment Tool (SWAT) to Simulate Its Water Quality Effects As a Bioenergy Crop ... There is increasing interest in perennial grasses as a renewable source of bioenergy and feedstock for second-generation cellulosic biofuels. ... Due to global warming and energy independence concerns, there is increasing interest in perennial grasses as a renewable source of bioenergy. ...

Tze Ling Ng; J. Wayland Eheart; Ximing Cai; Fernando Miguez

2010-08-03T23:59:59.000Z

322

Recovery Act update from Sr. Advisor Matt Rogers -- End of Obligations |  

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

update from Sr. Advisor Matt Rogers -- End of update from Sr. Advisor Matt Rogers -- End of Obligations Recovery Act update from Sr. Advisor Matt Rogers -- End of Obligations Addthis Description Matt Rogers, Senior Advisor to the Secretary for Recovery Act Implementation, shares his thoughts as the Recovery Act reaches a critical milestone -- the end of the 2010 fiscal year and the last day to obligation contract and grant funding under the Recovery Act. Speakers Matt Rogers Duration 2:26 Topic Energy Sources Recovery Act Funding Opportunities Loans Grants Credit Energy Department Video MATTHEW ROGERS: This week, we are obligating the last of our funds under the recovery act for contract and grant work, $32.7 billion of funds, $32.7 billion obligated and on the street. What this means is that we have now

323

An Introduction to the Lighting Module of EcoAdvisor - An Online  

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

An Introduction to the Lighting Module of EcoAdvisor - An Online An Introduction to the Lighting Module of EcoAdvisor - An Online Interactive Training Software in Energy Efficiency Speaker(s): Joe Deringer Date: April 19, 2001 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare The Lighting Energy Advisor (LEA) is an online module within EcoAdvisor. It takes a very different approach from most training courses and guidance materials about energy efficient lighting. LEA focuses on: - The balance of lighting quality, efficiency, and cost-effectiveness. - Design issues. - Estimates of lighting quality. - Visual, cost, and energy impacts of lighting design decisions. - Occupant productivity. This presentation will discuss the Phase 1 LEA Module much of which is now available online. We will also summarize more recent work, including work

324

E-Print Network 3.0 - amaranth advisors llc Sample Search Results  

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

or a function that will assign utility values to a domain of points. The Amaranth advisor Q-RAM determines... Company THE AMARANTH FRAMEWORK: POLICY-BASED QUALITY OF SERVICE...

325

Wumpus Advisor 1: A First Implementation Program that Tutors Logical and Probabilistic Reasoning Skills  

E-Print Network (OSTI)

The Wumpus Advisor program offers advice to a player involved in choosing the best move in a game for which competence in dealing with incomplete and uncertain knowledge is required. The design and implementation of ...

Stansfield, James L.

1976-10-01T23:59:59.000Z

326

E-Print Network 3.0 - advisors llc engage Sample Search Results  

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

a PhD. These hours Summary: for their LLC concentration would be approved by their advisor and the DGS. LLC Competencies Cross... this requirement must be approved by their...

327

E-Print Network 3.0 - advisors meeting minutes Sample Search...  

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

Students Summary: . It is easy and takes only ten minutes to meet with a faculty advisor during the next advising period... to make it easy for you to meet with your faculty...

328

The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions  

Science Journals Connector (OSTI)

Abstract In response to the growing Climate Change problem, governments around the world are seeking to reduce the greenhouse gas (GHG) emissions of trucking. The Trucking Sector Optimization (TSO) model is introduced as a tool for studying the decisions that shippers and carriers make throughout time (focusing on investments in Fuel Saving Technologies), and for evaluating their impact on life-cycle GHG emissions. A case study of fuel taxation in California is used to highlight the importance of (1) modeling the trucking sector comprehensively, (2) modeling the dynamics of the stock of vehicles, and (3) modeling different sources of emissions.

Sebastian E. Guerrero; Samer M. Madanat; Robert C. Leachman

2013-01-01T23:59:59.000Z

329

Simulation Tools  

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

Building simulation tool screen capture Building simulation tool screen capture Simulation Tools Researchers develop whole-building energy simulation software programs that allow architects and building engineers to design or retrofit buildings for maximum energy efficiency and occupant comfort. Programs developed by researchers include: the EnergyPlus whole building simulation program, the Modelica Buildings library for rapid prototyping and controls design, the Building Controls Virtual Test Bed for co-simulation and for model-based operation, and the GenOpt generic optimization program. Contacts Philip Haves PHaves@lbl.gov (510) 486-6512 Michael Wetter MWetter@lbl.gov (510) 486-6990 Links Simulation Research Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings

330

Developing a tight gas sand advisor for completion and stimulation in tight gas reservoirs worldwide  

E-Print Network (OSTI)

DEVELOPING A TIGHT GAS SAND ADVISOR FOR COMPLETION AND STIMULATION IN TIGHT GAS RESERVOIRS WORLDWIDE A Thesis by KIRILL BOGATCHEV Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE December 2007 Major Subject: Petroleum Engineering DEVELOPING A TIGHT GAS SAND ADVISOR FOR COMPLETION AND STIMULATION IN TIGHT GAS RESERVOIRS WORLDWIDE A Thesis by KIRILL...

Bogatchev, Kirill Y

2008-10-10T23:59:59.000Z

331

Model-Based Tool-Chain Infrastructure for Automated Analysis of Embedded Systems  

Science Journals Connector (OSTI)

In many safety-critical applications of embedded systems, the system dynamics exhibits hybrid behaviors. To enable automatic analysis of these ... many analysis tools have been developed based on hybrid automata ...

Hang Su; Graham Hemingway; Kai Chen

2006-01-01T23:59:59.000Z

332

Development of a tool dedicated to the evaluation of hydrogen term source for technological Wastes: assumptions, physical models, and validation  

SciTech Connect

In radioactive waste packages hydrogen is generated, in one hand, from the radiolysis of wastes (mainly organic materials) and, in the other hand, from the radiolysis of water content in the cement matrix. In order to assess hydrogen generation 2 tools based on operational models have been developed. One is dedicated to the determination of the hydrogen source term issues from the radiolysis of the wastes: the STORAGE tool (Simulation Tool Of Emission Radiolysis Gas), the other deals with the hydrogen source term gas, produced by radiolysis of the cement matrices (the Damar tool). The approach used by the STORAGE tool for assessing the production rate of radiolysis gases is divided into five steps: 1) Specification of the data packages, in particular, inventories and radiological materials defined for a package medium; 2) Determination of radiochemical yields for the different constituents and the laws of behavior associated, this determination of radiochemical yields is made from the PRELOG database in which radiochemical yields in different irradiation conditions have been compiled; 3) Definition of hypothesis concerning the composition and the distribution of contamination inside the package to allow assessment of the power absorbed by the constituents; 4) Sum-up of all the contributions; And finally, 5) validation calculations by comparison with a reduced sampling of packages. Comparisons with measured values confirm the conservative character of the methodology and give confidence in the safety margins for safety analysis report.

Lamouroux, C. [CEA Saclay, Nuclear Energy Division /DANS, Department of physico-chemistry, 91191 Gif sur yvette (France); Esnouf, S. [CEA Saclay, DSM/IRAMIS/SIS2M/Radiolysis Laboratory , 91191 Gif sur yvette (France); Cochin, F. [Areva NC,recycling BU, DIRP/RDP tour Areva, 92084 Paris La Defense (France)

2013-07-01T23:59:59.000Z

333

WaveDyn: A Design Tool for Performance & Operational Loads Modeling of WECs  

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

Experience with Validating MHK Tools Experience with Validating MHK Tools National Renewable Energy Laboratory - Broomfield, CO - July 9 th 2012 Contents * Overview of GL Garrad Hassan * List of Tools/Core Expertise: Dedicated Software * Waves: Resource assessment and site data analysis * WaveDyn: WEC performance and loads calculation (time-domain) * WaveFarmer: Planning and optimization of a WEC array * Tides: Resource assessment and site data analysis * Tidal Bladed: Tidal Turbine performance and loads calculation (time-domain) * TidalFarmer: Planning and optimization of a tidal turbine array * Validation Experience * Tidal Bladed * ReDAPT * PerAWaT * WaveDyn Who are GL Garrad Hassan? * Industry-leading independent renewable energy consultancy * Established in 1984 * Over 950 full time staff, in 42 locations, across 24 countries worldwide

334

Implementing Nonlinear Buoyancy and Excitation Forces in the WEC-Sim Wave Energy Converter Modeling Tool: Preprint  

SciTech Connect

Wave energy converters (WECs) are commonly designed and analyzed using numerical models that combine multi-body dynamics with hydrodynamic models based on the Cummins Equation and linearized hydrodynamic coefficients. These modeling methods are attractive design tools because they are computationally inexpensive and do not require the use of high performance computing resources necessitated by high-fidelity methods, such as Navier Stokes computational fluid dynamics. Modeling hydrodynamics using linear coefficients assumes that the device undergoes small motions and that the wetted surface area of the devices is approximately constant. WEC devices, however, are typically designed to undergo large motions in order to maximize power extraction, calling into question the validity of assuming that linear hydrodynamic models accurately capture the relevant fluid-structure interactions. In this paper, we study how calculating buoyancy and Froude-Krylov forces from the instantaneous position of a WEC device (referred to as instantaneous buoyancy and Froude-Krylov forces from herein) changes WEC simulation results compared to simulations that use linear hydrodynamic coefficients. First, we describe the WEC-Sim tool used to perform simulations and how the ability to model instantaneous forces was incorporated into WEC-Sim. We then use a simplified one-body WEC device to validate the model and to demonstrate how accounting for these instantaneously calculated forces affects the accuracy of simulation results, such as device motions, hydrodynamic forces, and power generation.

Lawson, M.; Yu, Y. H.; Nelessen, A.; Ruehl, K.; Michelen, C.

2014-05-01T23:59:59.000Z

335

Contributions to Meta-Modeling Tools and Methods ISBN 91-85299-41-3  

E-Print Network (OSTI)

framework. Thus, we have first designed a meta-model for the object-oriented declarative modeling language, Models, Meta-Models and Meta-Programs .........................2 1.1.2 Meta-Modeling and Meta......................................................................................16 1.2.1 Design and Application of Meta-Modeling M

Zhao, Yuxiao

336

Group Entry Team Members Project name Advisor G/U MajorConcentration GL 40 Abdul Azeez  

E-Print Network (OSTI)

Group Entry Team Members Project name Advisor G/U MajorConcentration GL 40 Abdul Azeez A STUDY Members Project name Advisor G/U MajorConcentration 5/11/2011 5:00:00 PM SORTED BY GRAD Advisor G/U MajorConcentration 5/11/2011 5:00:00 PM SORTED BY GRAD/UNDERGRAD AND ALPHA OF PARTICIPANTS GL

337

Modeling and optimization with Optimica and JModelica.orgLanguages and tools for solving large-scale dynamic optimization problems  

Science Journals Connector (OSTI)

The Modelica language, targeted at modeling of complex physical systems, has gained increased attention during the last decade. Modelica is about to establish itself as a de facto standard in the modeling community with strong support both within academia and industry. While there are several tools, both commercial and free, supporting simulation of Modelica models few efforts have been made in the area of dynamic optimization of Modelica models. In this paper, an extension to the Modelica language, entitled Optimica, is reported. Optimica enables compact and intuitive formulations of optimization problems, static and dynamic, based on Modelica models. The paper also reports a novel Modelica-based open source project, JModelica.org, specifically targeted at dynamic optimization. JModelica.org supports the Optimica extension and offers an open platform based on established technologies, including Python, C, Java and XML. Examples are provided to demonstrate the capabilities of Optimica and JModelica.org.

J. kesson; K.-E. rzn; M. Gfvert; T. Bergdahl; H. Tummescheit

2010-01-01T23:59:59.000Z

338

Senior Advisor David Huizenga's Written Statement Before the Subcommittee on Energy and Water Development Committee on Appropriations (March 19, 2013)  

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

Written Statement of David Huizenga,Senior Advisor for Environmental Management,United States Department of Energy, before the Subcommittee on Energy and Water DevelopmentCommittee on...

339

Guide to good practices for the selection, training, and qualification of shift technical advisors  

SciTech Connect

The DOE Guide to Good Practices For the Selection, Training, and Qualification of Shift Technical Advisors can be used by any DOE nuclear facility that has implemented the shift technical advisor (STA) position. DOE Order 5480.20A, Personnel Selection, Qualification and Training Requirements for DOE Nuclear Facilities, states that only Category A reactors must have a shift technical advisor. However, many DOE nuclear facilities have implemented the shift technical advisor position to provide independent on-shift technical advice and counsel to the shift operating personnel to help determine cause and mitigation of facility accidents. Those DOE nuclear facilities that have implemented or are going to implement the shift technical advisor position will find this guide useful. This guide addresses areas that may be covered by other training programs. In these cases, it is unnecessary (and undesirable) to duplicate these areas in the STA training program as long as the specific skills and knowledge essential for STAs are addressed. The guide is based on the premise that the trainee has not completed any facility-specific training other than general employee training.

NONE

1993-02-01T23:59:59.000Z

340

T.G. Hinton: Development of Research Tools and Modeling | Savannah...  

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

of modeler experience and interpretation on model results. Relevant works Hinton, T. G., D. P. Coughlin, Y. Yi and L. C. Marsh. 2004. Low dose rate irradiation facility:...

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


341

Velo: Knowledge and Tool  

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

Velo: Knowledge and Tool Integration for Collaborative Scientific Projects Carina Lansing, Kerstin Kleese van Dam 1 Scientific Project Life Cycle 2 Conceptual Modeling Simulation...

342

Advise the Advisor: Secretary Chu on Energy Policy | Department of Energy  

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

Advise the Advisor: Secretary Chu on Energy Policy Advise the Advisor: Secretary Chu on Energy Policy Advise the Advisor: Secretary Chu on Energy Policy March 31, 2011 - 3:15pm Addthis Katelyn Sabochik How can I participate? Head to WhiteHouse.gov/Advise to submit your suggestions Editor's Note: This entry has been cross-posted from the White House Blog. Yesterday, President Obama delivered an address at Georgetown University about securing America's energy future and announced a new goal of reducing our imports of oil by one-third in a little over a decade. The White House also released Blueprint for a Secure Energy Future (pdf) - which outlines the comprehensive national energy policy that this Administration has pursued since day one, and which we will build upon to secure our energy future. Now we want to hear from you. In the latest edition of the Advise the

343

CHP Modeling as a Tool for Electric Power Utilities to Understand Major Industrial Customers  

E-Print Network (OSTI)

for optimum rate design. REFERENCES 1. Kumana, J D and R Nath, "Demand Side Dispatching, Part 1 - A Novel Approach for Industrial Load Shaping Applications", IETC Proceedings (March 93) 2. R Nath, D A Cerget, and E T Henderson, "Demand Side... Dispatching, Part 2 - An Industrial Application", IETC Proceedings (March 93) 3. R Nath and J D Kumana, "NOx Dispatching in Plant Utility Systems using Existing Software Tools", IETC Proceedings (April 92) 4. R Nath, J D KUJIl3I13, and J F Holiday...

Kumana, J. D.; Alanis, F. J.; Swad, T.; Shah, J. V.

344

\\\\due.uci.edu\\due\\Files\\SAC\\CIE\\STAFF\\Duties\\REGIONS.DOC ` 09/06/13 Staff Advisor Regions  

E-Print Network (OSTI)

\\\\due.uci.edu\\due\\Files\\SAC\\CIE\\STAFF\\Duties\\REGIONS.DOC ` 09/06/13 Staff Advisor Regions UCI Study.studyabroad.uci.edu Advisor Countries/Regions (EAP & IOP) EAP Countries Chrystal Fairbanks cfairban@uci.edu (949) 824

Barrett, Jeffrey A.

345

Workshop on Hydrologic Modeling with SWAT and Groundwater Modeling with MODFLOW (26-27 December 2014) International Conference on Modeling Tools for Sustainable Water Resources Management (28-29 December 2014)  

E-Print Network (OSTI)

2014) International Conference on Modeling Tools for Sustainable Water Resources Management (28 for hydrologic data analysis, pre / post processing, and hydrologic modeling Water Resources Management Water application of SWAT model for water manage- ment Prof. Upmanu Lall Columbia University, USA Prof. A.K. Gosain

346

The Building Design Advisor K. Papamichael, J. LaPorta, H. Chauvet, D. Collins, T. Trzcinski, J. Thorpe, and S. Selkowitz  

E-Print Network (OSTI)

- 1 - The Building Design Advisor K. Papamichael, J. LaPorta, H. Chauvet, D. Collins, T. Trzcinski Advisor (BDA) is a software environment that supports the integrated use of multiple analysis

347

Dynamic customisation, validation and integration of product data models using semantic web tools  

Science Journals Connector (OSTI)

Standard product data models enable information exchange across different organisations, actors, processes and stages in the product lifecycle. These standard models need to support diverse domain-specific requirements from the multitude of disciplines involved during a product's lifecycle. Due to this diversity, challenges are to: 1) develop multidisciplinary models; 2) extend them to support new requirements over time; 3) implement the resulting gigantic information models. ISO 10303, the reference standard for PLM-related data models provides mechanisms to enable specialisation of generic product data to address some of these challenges. In this paper, we introduce the need for dynamic product data models, detail the ISO method and identify its limitations. We present enhancements to that methodology using ontologies and the SPARQL Inference Notation (SPIN) for validating product data. To conclude, we show how these ontologies can be leveraged to ease and strengthen PLM data integration through the use of Linked Data.

Sylvere Krima; Allison Barnard Feeney; Sebti Foufou

2014-01-01T23:59:59.000Z

348

A Quasi-Two-Dimensional Electrochemistry Modeling Tool for Planar Solid Oxide Fuel Cell Stacks  

SciTech Connect

A two-dimensional numerical model is presented for the efficient computation of the steady-state current density, species concentration, and temperature distributions in planar solid oxide fuel cell stacks. The model reduction techniques, engineering approximations, and numerical procedures used to simulate the stack physics while maintaining adequate computational speed are discussed. The results of the model for benchmark cases with and without on-cell methane reformation are presented with comparisons to results from other research described in the literature. The capabilities, performance, and scalability of the model for the study of large multi-cell stacks are then demonstrated.

Lai, Canhai; Koeppel, Brian J.; Choi, Kyoo Sil; Recknagle, Kurtis P.; Sun, Xin; Chick, Lawrence A.; Korolev, Vladimir N.; Khaleel, Mohammad A.

2011-03-15T23:59:59.000Z

349

Numerical tools for musical instruments acoustics: analysing nonlinear physical models using continuation  

E-Print Network (OSTI)

self-sustained oscillations. Several physical models (clarinet and saxophone) are formulated the dynamical properties of self-sustained musical instruments using tra- ditional numerical techniques

Boyer, Edmond

350

Patch Occupancy Models and Black Bear Management in the Southeastern Coastal Plain: A Potential Tool?  

E-Print Network (OSTI)

to management. Stochastic patch occu- pancy models (SPOMs)connectivity) of habitat patches. Application of such modelsextinction rates of habitat patches across the network. We

Clark, Jay E.; Van Manen, Frank T.; Clark, Joseph D.

2007-01-01T23:59:59.000Z

351

StatREC: a graphical user interface tool for visual hypothesis testing of cost prediction models  

Science Journals Connector (OSTI)

Background: During the previous decades there has been noted a significantly increased research interest on the construction of prediction models for accurate estimation of software cost. Despite the development of sophisticated methodologies, ... Keywords: REC curves, graphical comparison, graphical user interface, permutation test, prediction models, software cost estimation

Nikolaos Mittas; Ioannis Mamalikidis; Lefteris Angelis

2012-09-01T23:59:59.000Z

352

Sensor Node Lifetime Analysis: Models and Tools Deokwoo Jung, Thiago Teixeira, Andreas Savvides  

E-Print Network (OSTI)

decisions, compute energy budgets and duty-cycles, and to preform side-by-side comparison of different's average lifetime for a given event arrival rate. Through comparison of the two models and a case study & Simulation Package (MATSNL). This demonstrates the use of the models using sample applications drawn from

Teixeira, Thiago

353

DSMDiff: A Differentiation Tool for Domain-Specific Models Yuehua Lin1  

E-Print Network (OSTI)

Birmingham AL 35294-1170 {liny, gray, jouault} @ cis.uab.edu 2 ATLAS group (INRIA & LINA) University mappings and differences between domain-specific models, with facilities for graphical visualization system to trace the changes between different model versions to understand the evolution history

Gray, Jeffrey G.

354

University Student Centers' RSO Advisor Handbook: Revision Log 2/7/14 `Activities & Programs Office' has changed to `Student Involvement Office' (all pages)  

E-Print Network (OSTI)

University Student Centers' RSO Advisor Handbook: Revision Log 2/7/14 ­ `Activities & Programs can be accessed online at www.udel.edu/usc/pdf/ AdvisorHandbook.pdf Bringing Insight & Guidance to have an advisor from among the full-time faculty or full-time exempt staff. LINKS All underlined text

Firestone, Jeremy

355

Department of Psychology -Spring 2012 Advising Procedures In an effort to make the advising process more efficient for you and your advisor, please  

E-Print Network (OSTI)

process more efficient for you and your advisor, please follow the procedures spelled out below. TIME the online version, go to the Office of Registrar web page. :: DO I HAVE TO SEE MY ADVISOR? NEW PSYCHOLOGY MAJORS: If this is your first registration as a psychology major you must meet with your faculty advisor

Kovalev, Leonid

356

This form must be filled out in its entirety and returned to your academic advisor on the fourth floor of the IT building. Revised 2/2014  

E-Print Network (OSTI)

academic advisor on the fourth floor of the IT building. Revised 2/2014 FORM to enroll form with their academic advisor by April 1 for the fall semester and permission to enroll form must be completed and routed to your academic advisor

Zhou, Yaoqi

357

The President's Committee of Advisors on Science and Technology (PCAST) President Clinton established the PCAST (E.O. 12882) on November 23,  

E-Print Network (OSTI)

The President's Committee of Advisors on Science and Technology (PCAST) President Clinton of Advisors on Science and Technology (PCAST) Dear Dr. Gibbons and Mr. Young: We are pleased to transmit of Advisors on Science and Technology Panel on the U.S. Fusion Energy R&D Program Members of PCAST John P

358

Advising is an ongoing process in which the student, in consultation with the department academic advisor, determines and creates the best-fit educational path toward graduation. This  

E-Print Network (OSTI)

advisor, determines and creates the best-fit educational path toward graduation. This process enables and abilities. The advisor acts as an advocate for the student in the university system, serves as a resource setting. Each semester the advisor monitors the student's academic progress and provides information

Gelfond, Michael

359

Informat ion for Graduat e St udent s and Advisors of Graduat e St udent s 2013-2014 Information for Graduate Students  

E-Print Network (OSTI)

Informat ion for Graduat e St udent s and Advisors of Graduat e St udent s 2013-2014 1 Information for Graduate Students and Advisors of Graduate Students Graduate Program in Computer Science University science graduate students and their advisors. Its users are expected to be familiar with the contents

Minnesota, University of

360

Ph.D. Faculty Research Advisor Verification Form This form must be submitted to your department based on the timelines put forth in the policy guidelines  

E-Print Network (OSTI)

Ph.D. Faculty Research Advisor Verification Form This form must be submitted to your department: _________________________________________ I am matching with a Faculty Research Advisor (indicate one): for the first time. I started my Ph both my current advisor, department and the Graduate Student Affairs Office of this change in (quarter

Mease, Kenneth D.

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While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


361

It is in our fundamental National interest to greatly strengthen international cooperation in energy innovation. The President's Committee of Advisors on Science and  

E-Print Network (OSTI)

in energy innovation. The President's Committee of Advisors on Science and Technology (PCAST) concluded. Powerful Partnerships: A Synthesis of a Report by the President's Committee of Advisors on Science and Technology Powerful Partnerships: A Synthesis of a Report by the President's Committee of Advisors on Science

362

Seattle University Sport Clubs Faculty/Staff Advisors Agreement The Seattle University Sport Clubs Program requires each club to retain the services of a SU  

E-Print Network (OSTI)

Seattle University Sport Clubs Faculty/Staff Advisors Agreement The Seattle University Sport Clubs Program requires each club to retain the services of a SU faculty or staff member as the clubs advisor that some types of peer management may present difficulties for club leaders and advisors should be able

Carter, John

363

COMPUTER SCIENCE ADVISING CONTRACT When you seek pre-registration or registration advising from your advisor, this sheet must be completed before or  

E-Print Network (OSTI)

your advisor, this sheet must be completed before or during your meeting. In addition, bring a copy to the meeting so that your advisor can provide you with good advice. At the meeting, you will receive Phone _______________________ E-Mail ________________________________ Advisor Signature

Dyer, Bill

364

Department of Psychology -Fall 2011 Advising Procedures In an effort to make the advising process more efficient for you and your advisor, please follow the  

E-Print Network (OSTI)

more efficient for you and your advisor, please follow the procedures spelled out below. TIME SCHEDULE version, go to the Office of Registrar web page. :: DO I HAVE TO SEE MY ADVISOR? NEW PSYCHOLOGY MAJORS: If this is your first registration as a psychology major you must meet with your faculty advisor. FRESHMEN: You

Kovalev, Leonid

365

Abstract -This paper presents a methodology and a tool for the coupled magnetic-structural with semi-analytical models. For this  

E-Print Network (OSTI)

Abstract - This paper presents a methodology and a tool for the coupled magnetic-structural with semi-analytical models. For this coupling, the magnetic model is available; we developed the structural MODEL Magnetic fields radiated by permanent magnets and conductors are computed through Coulombian

Boyer, Edmond

366

ACADEMIC TRAINING FOR J-1 STUDENTS -5 SAMPLE ADVISOR'S LETTER FOR ACADEMIC TRAINING  

E-Print Network (OSTI)

ACADEMIC TRAINING FOR J-1 STUDENTS - 5 SAMPLE ADVISOR'S LETTER FOR ACADEMIC TRAINING must Services FROM: Name Title RE: Recommendation for Academic Training for ___________________________ DATE ____________________________ ______________________________________________________. This student has an opportunity to pursue academic training with the employer indicated below. I have discussed

Mohan, Chilukuri K.

367

Development of an On-Line Expert System: Heat Rate Degradation Expert System Advisor  

E-Print Network (OSTI)

An on-line expert system for fossil-fueled power plants, the "Heat Rate Degradation Expert System Advisor," is being developed. This expert system will operate on a microcomputer and will interface with existing plant data acquisition and/or thermal...

Sopocy, D. M.; Henry, R. E.; Gehl, S.; Divakaruni, S. M.

368

BIOLOGY PROGRAMME ADVISORS Edna Staples LSC 6089 494.2464 Edna.Staples@dal.ca  

E-Print Network (OSTI)

BIOLOGY PROGRAMME ADVISORS Edna Staples LSC 6089 494.2464 Edna.Staples@dal.ca Jennifer Van Dommelen LSC 813 494.1584 Jvandomm@dal.ca Todd Bishop LSC 2089 494.1696 Todd.Bishop@dal.ca BIOLOGY MAJOR (20 credit or 15 credit concentration) Christine Beauchamp LSC 4015 494.2045 Christine.Beauchamp@dal.ca

Gunawardena, Arunika

369

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President  

E-Print Network (OSTI)

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President Arts University Advancement Robert W. Groves, Vice President Executive Officers Academic Human Resources Theodore and Recycling (joint w/RHS) Finance Mark P. Haas, Vice President for Finance and Treasurer · Controller · CGA

Liu, Taosheng

370

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President  

E-Print Network (OSTI)

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President Arts Robert W. Groves, Vice President Executive Officers Academic Human Resources Theodore H. Curry, Associate) · Campus Planning and Administration · Campus Sustainability · Surplus and Recycling (joint w/RHS) Finance

371

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President  

E-Print Network (OSTI)

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President Arts Human Resources Theodore H. Curry, Associate Provost and Associate Vice President Academic Services John · Surplus and Recycling (joint w/RHS) Finance Mark P. Haas, Vice President for Finance and Treasurer

372

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President  

E-Print Network (OSTI)

Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President Arts Officers Academic Human Resources Theodore H. Curry, Associate Provost and Associate Vice President Sustainability · Surplus and Recycling (joint w/RHS) Finance Mark P. Haas, Vice President for Finance

373

Economics Information for Faculty Advisors of Undeclared A&S Students General Information  

E-Print Network (OSTI)

1 Economics Information for Faculty Advisors of Undeclared A&S Students General Information: The Economics undergraduate program is currently undergoing major changes --- for full details, please see the Undergraduate Economics Website: http://economics.cornell.edu/undergrad/index.html You can also check out

Davis, H. Floyd

374

Oxygen Consumption by Germinating Seeds Advisor: Dr. Neil Budko (n.v.budko@tudelft.nl)  

E-Print Network (OSTI)

Oxygen Consumption by Germinating Seeds Advisor: Dr. Neil Budko (n.v.budko@tudelft.nl) Problem) by the Fytagoras B.V. (Leiden): "Seed germination in most seeds depends on the availability of oxygen. Living seeds commences. The availability of oxygen to the embryo in the seed depends on the oxygen concentration around

Vuik, Kees

375

Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards  

Office of Energy Efficiency and Renewable Energy (EERE)

Autonomie, an advanced vehicle modeling and design software package created by Argonne National laboratory with EERE support, is helping U.S. auto manufacturers develop the next generation of hybrid and electric vehicles.

376

Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis  

E-Print Network (OSTI)

Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been extended to multilevel ...

Preacher, K. J.; Curran, Patrick J.; Bauer, D. J.

2007-04-09T23:59:59.000Z

377

Tools of computational neuroscience : Models of neurons D&A Chapter 5.  

E-Print Network (OSTI)

to model neurons. + ++ - -- im V Cm dV dt = - ion Iion + Iext(t) · From this we can determine how V changes (diffusion and electric forces) would cancel. Point neurons (2) Cm dV dt = - ion Iion + Iext(t) Ii = gi to move Vm towards Ei Hodgkin-Huxley Model (in a nutshell) Cm dV dt = - ion Iion + Iext(t) · describe

Seriès, Peggy

378

Software Tools RFI and SEE Action: AMO Technical Assistance Overview  

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

- Plant Energy Profiler (PEP) - Process Heating Modeler Tool (PHMT)* - Pumping System Assessment Tool (PSAT) - Steam System Modeler Tool (SSMT) *Not yet completed 6 | Advanced...

379

Low dimensional model of heart rhythm dynamics as a tool for diagnosing the anaerobic threshold  

SciTech Connect

We report preliminary results on describing the dependence of the heart rhythm variability on the stress level by using qualitative, low dimensional models. The reconstruction of macroscopic heart models yielding cardio cycles (RR-intervals) duration was based on actual clinical data. Our results show that the coefficients of the low dimensional models are sensitive to metabolic changes. In particular, at the transition between aerobic and aerobic-anaerobic metabolism, there are pronounced extrema in the functional dependence of the coefficients on the stress level. This strong sensitivity can be used to design an easy indirect method for determining the anaerobic threshold. This method could replace costly and invasive traditional methods such as gas analysis and blood tests. {copyright} {ital 1997 American Institute of Physics.}

Anosov, O.L. [Institute of Physiology, Charite Humboldt-University at Berlin, Berlin, D-10117 (Germany)] [Regional. Cardio Center, Vladimir, (Russia); Butkovskii, O.Y. [Vladimir State Technical University, 87, Gorki St., Vladimir, 600026 (Russia); Kadtke, J. [Institute for Pure and Applied Physical Science University of California at San Diego, La Jolla, California 92093-0360 (United States); Kravtsov, Y.A. [Space Research Institute of RAS, 84/32 Profsoyuznaja St., Moscow, 117810 (Russia); Protopopescu, V. [Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6364 (United States)

1997-05-01T23:59:59.000Z

380

Nuclear tools for characterising radiological dispersion in complex terrain: evaluation of regulatory and emergency response models  

Science Journals Connector (OSTI)

Routine operations of a nuclear research reactor and its facilities offer opportunities for collection of rare environmental tracer datasets which can be used for atmospheric dispersion model evaluation studies. The HIFAR reactor near Sydney, Australia, routinely emits the radioactive noble gas 41Ar, and other radionuclides such as 133Xe and 135Xe are also emitted from nearby radiopharmaceutical production facilities. Despite extremely low emission levels of these gases, they are nevertheless detectable using state-of-the-art technology, and sensitive detectors have been placed at four locations in the surrounding region which features complex terrain. The high research potential of this unique dataset is illustrated in the current study, in which predictions from two atmospheric dispersion models used for emergency response are compared with 41Ar peak observations from the detector network under a range of stability conditions, and long-term integrated data is also compared with a routine impact assessment model.

Alastair G. Williams; Geoffrey H. Clark; Leisa Dyer; Richard Barton

2005-01-01T23:59:59.000Z

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381

Activity based travel demand models as a tool for evaluating sustainable transportation policies  

Science Journals Connector (OSTI)

India is in the course of an economic transition. The economic growth nurtured the life in the cities and cities have become a major livelihood destination for everyone. This migration of people contributed to the increased urbanization of Indian cities. The booming economy fostered the well-being and shaped the lifestyle of people in such a way that the dependency on private vehicle has become an unavoidable affair. Along with population growth, the increased vehicle ownership gave rise to overall spurt in travel demand. But the supply side lagged behind the demand adding to many of the transport related externalities such as accidents, congestion, pollution, inequity etc. The importance of sustainability is understood in the current urban transport scenario leading to the development and promotion of sustainable transport polices. The core agenda of these polices is to target the travel behavior of people and change the way they travel by creating a different travel environment. However, the impacts of many such policies are either unknown or complex. Hence, before adopting and implementing such policies, it is important for the decision makers to be aware of the impacts of them. The role of travel demand models comes here as they predict the future travel demand under different policy scenarios. This paper reviews the ability of travel demand models applied in India in analyzing the sustainable transport policies. The study found that the conventional model system in India, which is trip based four step aggregate methodology, is inadequate in analyzing the sustainable transport policies. A review of alternative approach, known as activity based travel demand modeling found that they are capable of handling such policies better than conventional models and are assistive to the decision makers in arriving at right mix of polices specific to the situations. Since there is no operational activity based travel demand model system developed in India, the study at the end envisaged a conceptual framework of an integrated activity based travel demand model based on the requirements identified from the review. This can potentially replace the existing travel demand models and can be used for planning applications once the modification & validation have been done according to the existing activity-travel behavior of individuals.

Manoj Malayath; Ashish Verma

2013-01-01T23:59:59.000Z

382

HYBRID GROUND SOURCE HEAT PUMP SYSTEM SIMULATION USING VISUAL MODELING TOOL FOR HVACSIM+  

E-Print Network (OSTI)

, and plotting the output are also included. INTRODUCTION HVACSIM+, which stands for `HVAC SIMulation PLUS other systems', is a non-proprietary simulation package developed at the National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, U.S.A. It is capable of modeling HVAC (heating, ventilation

383

Software openness: evaluating parameters of parametric modeling tools to support creativity and multidisciplinary design integration  

Science Journals Connector (OSTI)

The ubiquitous computing era has pushed the Architecture, Engineering, and Construction (AEC) industry towards new frontiers of digitally enabled practice. Are these the frontiers originally identified by the pioneers in the field? Architectural design ... Keywords: CAD, CAE, parametric design, parametric modeling, software openness

Flora Dilys Salim; Jane Burry

2010-03-01T23:59:59.000Z

384

Bioengineered Implantable Scaffolds as a Tool to Study Stromal-Derived Factors in Metastatic Cancer Models  

Science Journals Connector (OSTI)

...Finally, this platform can be used to test the effect of drugs on suppressing initiation...8 ). No robust mouse models exist to test for metastasis-enhancing stromal-derived...change. Gene-wise ANOVA followed by t test between PC-3 met+, MDA-231 #1833...

Francesca Bersani; Jungwoo Lee; Min Yu; Robert Morris; Rushil Desai; Sridhar Ramaswamy; Mehmet Toner; Daniel A. Haber; Biju Parekkadan

2014-12-15T23:59:59.000Z

385

HANFORD RIVER PROTECTION PROJECT ENHANCED MISSION PLANNING THROUGH INNOVATIVE TOOLS LIFECYCLE COST MODELING AND AQUEOUS THERMODYNAMIC MODELING - 12134  

SciTech Connect

Two notable modeling efforts within the Hanford Tank Waste Operations Simulator (HTWOS) are currently underway to (1) increase the robustness of the underlying chemistry approximations through the development and implementation of an aqueous thermodynamic model, and (2) add enhanced planning capabilities to the HTWOS model through development and incorporation of the lifecycle cost model (LCM). Since even seemingly small changes in apparent waste composition or treatment parameters can result in large changes in quantities of high-level waste (HLW) and low-activity waste (LAW) glass, mission duration or lifecycle cost, a solubility model that more accurately depicts the phases and concentrations of constituents in tank waste is required. The LCM enables evaluation of the interactions of proposed changes on lifecycle mission costs, which is critical for decision makers.

PIERSON KL; MEINERT FL

2012-01-26T23:59:59.000Z

386

Information Resources: Tools  

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

Tools Tools Below are links to tools that assist users with project planning and analysis. Residential Lighting Usage Estimate Tool The Residential Lighting Usage Estimate Tool is a companion to the report, "Residential Lighting End-Use Consumption Study," which developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption. The tool contains the full set of estimates produced by methodology described in the study. Simple Modular LED Cost Model (LEDCOM) The LED Cost Model provides a simplified method for analyzing the manufacturing costs of an LED package, and enables those involved in the manufacture of LED packages to evaluate the relative impact of changes made at different points in the manufacturing process on the final LED package cost.

387

Numerical modelling of solid fuel combustion processes using advanced CFD-based simulation tools  

Science Journals Connector (OSTI)

Computational modelling of combustion processes has been the subject of coninuous research at the Institute of Process Engineering and Power Plant Technology (IVD) over the last two decades. To this end, finite-volume-based computer codes have been developed. In the present paper, some fundamental ideas and approaches of the applied mathematical models and the numerical methods are described, followed by some examples of typical applications of the procedures with special emphasis on the validation of simulation results. These examples show that the application of combustion simulation codes has been extended to comprise a wide range of several different areas ranging from huge bituminous coal-fired utility boilers for electricity production to decentralised small-scale furnaces and tile stove heating inserts for domestic heating.

Uwe Schnell

2001-01-01T23:59:59.000Z

388

Verifiable Fuel Cycle Simulation Model (VISION): A Tool for Analyzing Nuclear Fuel Cycle Futures  

SciTech Connect

The nuclear fuel cycle consists of a set of complex components that are intended to work together. To support the nuclear renaissance, it is necessary to understand the impacts of changes and timing of events in any part of the fuel cycle system such as how the system would respond to each technological change, a series of which moves the fuel cycle from where it is to a postulated future state. The system analysis working group of the United States research program on advanced fuel cycles (formerly called the Advanced Fuel Cycle Initiative) is developing a dynamic simulation model, VISION, to capture the relationships, timing, and changes in and among the fuel cycle components to help develop an understanding of how the overall fuel cycle works. This paper is an overview of the philosophy and development strategy behind VISION. The paper includes some descriptions of the model components and some examples of how to use VISION. For example, VISION users can now change yearly the selection of separation or reactor technologies, the performance characteristics of those technologies, and/or the routing of material among separation and reactor types - with the model still operating on a PC in <5 min.

Jacob J. Jacobson; Steven J. Piet; Gretchen E. Matthern; David E. Shropshire; Robert F. Jeffers; A. M. Yacout; Tyler Schweitzer

2010-11-01T23:59:59.000Z

389

Evaluation of System Level Modeling and Simulation Tools in Support of Savannah River Site Liquid Waste Process  

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

Savannah River Site Liquid Waste Process Savannah River Site Liquid Waste Process June 2009 Monica C. Regalbuto Office of Waste Processing DOE/EM Kevin G. Brown Vanderbilt University and CRESP David W. DePaoli Oak Ridge National Laboratory Candido Pereira Argonne National Laboratory John R. Shultz Office of Waste Processing DOE/EM Sahid C. Smith Office of Waste Processing DOE/EM External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Savannah River Site Liquid Waste Process June 2009 ACKNOWLEDGEMENTS The Review Team thanks Ms. Sonitza Blanco, Team Lead Planning and Coordination Waste Disposition Project U.S. Department of Energy Savannah River Operations Office and Mr. Pete Hill, Liquid Waste Planning Manager for Washington Savannah River Company, for their

390

External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process  

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

Hanford Site Liquid Waste Process Hanford Site Liquid Waste Process September 2009 Monica C. Regalbuto Office of Waste Processing DOE/EM Kevin G. Brown Vanderbilt University and CRESP David W. DePaoli Oak Ridge National Laboratory Candido Pereira Argonne National Laboratory John R. Shultz Office of Waste Processing DOE/EM External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process September 2009 Acknowledgements The Review Team thanks Mr. Glyn Trenchard, Team Lead for Planning and Coordination Waste Disposition Project, U.S. Department of Energy--Office of River Protection, Mr. Paul Rutland, RPP System Planning Manager for Washington River Protection Solutions, and Mr. Ernie Lee,

391

Job and Economic Development Impact (JEDI) Model: A User-Friendly Tool to Calculate Economic Impacts from Wind Projects; Preprint  

Wind Powering America (EERE)

Job and Economic Job and Economic Development Impact (JEDI) Model: A User-Friendly Tool to Calculate Economic Impacts from Wind Projects Preprint March 2004 * NREL/CP-500-35953 M. Goldberg MRG & Associates K. Sinclair and M. Milligan (Consultant) National Renewable Energy Laboratory To be presented at the 2004 Global WINDPOWER Conference Chicago, Illinois March 29-31, 2004 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US

392

Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool: Preprint  

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

Calibration and Validation of a Calibration and Validation of a Spar-Type Floating Offshore Wind Turbine Model using the FAST Dynamic Simulation Tool Preprint J.R. Browning University of Colorado-Boulder J. Jonkman and A. Robertson National Renewable Energy Laboratory A.J. Goupee University of Maine Presented at the Science of Making Torque from Wind Oldenburg, Germany October 9-11, 2012 Conference Paper NREL/CP-5000-56138 November 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes.

393

Molecular dynamics simulation: a tool for exploration and discovery using simple models  

E-Print Network (OSTI)

Emergent phenomena share the fascinating property of not being obvious consequences of the design of the system in which they appear. This characteristic is no less relevant when attempting to simulate such phenomena, given that the outcome is not always a foregone conclusion. The present survey focuses on several simple model systems that exhibit surprisingly rich emergent behavior, all studied by MD simulation. The examples are taken from the disparate fields of fluid dynamics, granular matter and supramolecular self-assembly. In studies of fluids modeled at the detailed microscopic level using discrete particles, the simulations demonstrate that complex hydrodynamic phenomena in rotating and convecting fluids, the Taylor-Couette and Rayleigh-B\\'enard instabilities, can not only be observed within the limited length and time scales accessible to MD, but even quantitative agreement can be achieved. Simulation of highly counterintuitive segregation phenomena in granular mixtures, again using MD methods, but now augmented by forces producing damping and friction, leads to results that resemble experimentally observed axial and radial segregation in the case of a rotating cylinder, and to a novel form of horizontal segregation in a vertically vibrated layer. Finally, when modeling self-assembly processes analogous to the formation of the polyhedral shells that package spherical viruses, simulation of suitably shaped particles reveals the ability to produce complete, error-free assembly, and leads to the important general observation that reversible growth steps contribute to the high yield. While there are limitations to the MD approach, both computational and conceptual, the results offer a tantalizing hint of the kinds of phenomena that can be explored, and what might be discovered when sufficient resources are brought to bear on a problem.

D. C. Rapaport

2014-11-13T23:59:59.000Z

394

MOCHA: A Model Checking Tool that Exploits Design Structure R. Alur y L. de Alfaro \\Lambda R. Grosu z T.A. Henzinger \\Lambda M. Kang y R.  

E-Print Network (OSTI)

­level, partial system descrip­ tions, rapid prototyping, and simulation. As an analysis lan­ guage it allowsMOCHA: A Model Checking Tool that Exploits Design Structure R. Alur y L. de Alfaro \\Lambda R. Grosu of Computer Science, State University of New York, Stony Brook 1 INTRODUCTION Model checking is emerging

Alur, Rajeev

395

Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore wind farms in Northern Europe  

E-Print Network (OSTI)

1 Web tool for energy policy decision-making through geo-localized LCA models: A focus on offshore-dependent life cycle assessment (LCA) taking into ac- count geographical issues is of high interest for different configurations has been developed. Based on a modular LCA model and on collaborative works made

Paris-Sud XI, Université de

396

4/2/2014 Micro-windmills can recharge cell phones -PC Advisor http://www.pcadvisor.co.uk/news/digital-home/3497368/micro-windmills-can-recharge-cell-phones/ 1/12  

E-Print Network (OSTI)

4/2/2014 Micro-windmills can recharge cell phones - PC Advisor http to use the world-famous PC Advisor help forums you need to register with PC Advisor. It's free anything without your permission. OR Log in with your PC Advisor account: Email * Password * #12

Chiao, Jung-Chih

397

Board of Advisors to the Presidents of the Naval Postgraduate School and the Naval War College Annual Joint Meeting of the Subcommittees: Board of Advisors to the President, Naval Postgraduate  

E-Print Network (OSTI)

as the NPS sub-committee board members reviewed SECNAVINST 1524.2B. During the lunch (Advanced Education Review Board). The AERB was originally put in placeBoard of Advisors to the Presidents of the Naval Postgraduate School

398

Distributed Wind Policy Comparison Tool  

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

tax advisor. Please refer to the individual policies and incentive program websites, web links provided via the Database of State Incentives for Renewables and Efficiency...

399

President¬タルs Council of Advisors on Science and Technology (PCAST) Prepare and Inspire Report (2010)  

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

REPORT TO THE PRESIDENT REPORT TO THE PRESIDENT PREPARE AND INSPIRE: K-12 EDUCATION IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATH (STEM) FOR AMERICA'S FUTURE Executive Office of the President President's Council of Advisors on Science and Technology SEPTEMBER 2010 PREPUBLICATION VERSION REPORT TO THE PRESIDENT PREPARE AND INSPIRE: K-12 EDUCATION IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATH (STEM) FOR AMERICA'S FUTURE Executive Office of the President President's Council of Advisors on Science and Technology SEPTEMBER 2010 PREPUBLICATION VERSION About the President's Council of Advisors on Science and Technology The President's Council of Advisors on Science and Technology (PCAST) is an advisory group of the nation's leading scientists and engineers, appointed by the President to augment the

400

Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City  

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

Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City, a publication of the U.S. Department of Energy's Better Buildings Program.

Note: This page contains sample records for the topic "advisor model tool" 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

Randomized Trial of a Lay Health Advisor and Computer Intervention to Increase Mammography Screening in African American Women  

Science Journals Connector (OSTI)

...Health Advisor and Computer Intervention to Increase...Indiana University School of Nursing, 1111...65 (usual care). Grant Support: NIH/National Cancer Institute grant 5K01CA111826 and the Indiana University School of Nursing/Center...

Kathleen M. Russell; Victoria L. Champion; Patrick O. Monahan; Sandra Millon-Underwood; Qianqian Zhao; Nicole Spacey; Nathan L. Rush; and Electra D. Paskett

2010-01-01T23:59:59.000Z

402

Remarks to the President's Council of Advisors on Science and Technology  

National Nuclear Security Administration (NNSA)

to the President's Council of Advisors on Science and Technology to the President's Council of Advisors on Science and Technology (PCAST) on Defense Nuclear Nonproliferation Research and Development by Deputy Administrator Anne M. Harrington | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > Media Room > Speeches > Remarks to the President's Council of

403

Remarks to the President's Council of Advisors on Science and Technology  

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

to the President's Council of Advisors on Science and Technology to the President's Council of Advisors on Science and Technology (PCAST) on Defense Nuclear Nonproliferation Research and Development by Deputy Administrator Anne M. Harrington | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > Media Room > Speeches > Remarks to the President's Council of

404

The CLIMIX model: A tool to create and evaluate spatially-resolved scenarios of photovoltaic and wind power development  

Science Journals Connector (OSTI)

Abstract Renewable energies arise as part of both economic development plans and mitigation strategies aimed at abating climate change. Contrariwise, most renewable energies are potentially vulnerable to climate change, which could affect in particular solar and wind power. Proper evaluations of this two-way climaterenewable energy relationship require detailed information of the geographical location of the renewable energy fleets. However, this information is usually provided as total amounts installed per administrative region, especially with respect to future planned installations. To help overcome this limiting issue, the objective of this contribution was to develop the so-called CLIMIX model: a tool that performs a realistic spatial allocation of given amounts of both photovoltaic (PV) and wind power installed capacities and evaluates the energy generated under varying climate conditions. This is done over a regular grid so that the created scenarios can be directly used in conjunction with outputs of climate models. First, we used the 0.44 resolution grid defined for the EURO-CORDEX project and applied the CLIMIX model to spatially allocate total amounts of both unreported 2012 and future 2020 PV and wind power installations in Europe at the country level. Second, we performed a validation exercise using the various options for estimating PV and wind power production under the created scenarios that are included in the model. The results revealed an acceptable agreement between the estimated and the recorded power production values in every European country. Lastly, we estimated increases in power production derived from the future deployment of new renewable units, often obtaining non-direct relationships. This latter further emphasizes the need of accurate spatially-resolved PV and wind power scenarios in order to perform reliable estimations of power production.

S. Jerez; F. Thais; I. Tobin; M. Wild; A. Colette; P. Yiou; R. Vautard

2015-01-01T23:59:59.000Z

405

Recovery Act update from Sr. Advisor Matt Rogers -- End of Obligations  

SciTech Connect

Senior Advisor to the Secretary for Recovery Act Implementation Matt Rogers shares his thoughts as the Recovery Act reaches a critical milestone -- the end of the 2010 fiscal year and the last day to obligation contract and grant funding under the Recovery Act. For more information about the Recovery Act at the Department of Energy: http://www.energy.gov/recovery Follow the Department of Energy! http://facebook.com/energygov http://twitter.com/energy

Rogers, Matt

2010-01-01T23:59:59.000Z

406

Main Screen: students and advisors will use during the advising engagement and is prepopulated with degree plans per major. Sequences plan by terms; term courses populated by degree plans per each major.  

E-Print Network (OSTI)

1 #12;2 #12;3 #12;4 #12;5 #12;6 #12;7 #12;8 #12;9 #12;10 #12;Main Screen: students and advisors by either the student or advisor Advisor Message: allows advisor to leave message for student on that particular course. Students view only; Advisors: create/edit; Pencil icon: blank message; pencil with note

Barrash, Warren

407

Tools & Technologies  

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

Weprovide leadership for transforming workforce development through the power of technology. It develops corporate educational technology policy and enables the use of learning tools and...

408

Alternative Fuels Data Center: Tools  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Tools to someone by Tools to someone by E-mail Share Alternative Fuels Data Center: Tools on Facebook Tweet about Alternative Fuels Data Center: Tools on Twitter Bookmark Alternative Fuels Data Center: Tools on Google Bookmark Alternative Fuels Data Center: Tools on Delicious Rank Alternative Fuels Data Center: Tools on Digg Find More places to share Alternative Fuels Data Center: Tools on AddThis.com... Tools The Alternative Fuels Data Center offers a large collection of helpful tools. These calculators, interactive maps, and data searches can assist fleets, fuel providers, and other transportation decision makers in their efforts to reduce petroleum use. Calculators Vehicle Cost Calculator Compare cost of ownership and emissions for most vehicle models. Icon_mobile_version mobile

409

New Modeling Tool Analyzes Floating Platform Concepts for Offshore Wind Turbines (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)  

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

at the National Renewable Energy Laboratory at the National Renewable Energy Laboratory (NREL) develop a new complex modeling and analysis tool capable of analyzing floating platform concepts for offshore wind turbines. The new modeling tool combines the computational methodologies used to analyze land-based wind turbines with the comprehensive hydrodynamic computer programs developed for offshore oil and gas industries. This new coupled dynamic simulation tool will enable the development of cost-effective offshore technologies capable of harvesting the rich offshore wind resources at water depths that cannot be reached using the current technology. Currently, most offshore wind turbines are installed in shallow water, less than 30 meters deep, on bottom-mounted substructures. But these substructures are not

410

Software Tools  

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

AMOs tools help manufacturers increase industrial energy efficiency at the plant-level and in specific systems. Learn step-by-step ways to identify opportunities, monitor progress, and improve efficiency in any facility. Some tools help facilities implement an energy management system and prepare to become ISO 50001 and Superior Energy Performance certified.

411

Data Assimilation Tools for CO2 Reservoir Model Development A Review of Key Data Types, Analyses, and Selected Software  

SciTech Connect

Pacific Northwest National Laboratory (PNNL) has embarked on an initiative to develop world-class capabilities for performing experimental and computational analyses associated with geologic sequestration of carbon dioxide. The ultimate goal of this initiative is to provide science-based solutions for helping to mitigate the adverse effects of greenhouse gas emissions. This Laboratory-Directed Research and Development (LDRD) initiative currently has two primary focus areasadvanced experimental methods and computational analysis. The experimental methods focus area involves the development of new experimental capabilities, supported in part by the U.S. Department of Energys (DOE) Environmental Molecular Science Laboratory (EMSL) housed at PNNL, for quantifying mineral reaction kinetics with CO2 under high temperature and pressure (supercritical) conditions. The computational analysis focus area involves numerical simulation of coupled, multi-scale processes associated with CO2 sequestration in geologic media, and the development of software to facilitate building and parameterizing conceptual and numerical models of subsurface reservoirs that represent geologic repositories for injected CO2. This report describes work in support of the computational analysis focus area. The computational analysis focus area currently consists of several collaborative research projects. These are all geared towards the development and application of conceptual and numerical models for geologic sequestration of CO2. The software being developed for this focus area is referred to as the Geologic Sequestration Software Suite or GS3. A wiki-based software framework is being developed to support GS3. This report summarizes work performed in FY09 on one of the LDRD projects in the computational analysis focus area. The title of this project is Data Assimilation Tools for CO2 Reservoir Model Development. Some key objectives of this project in FY09 were to assess the current state-of-the-art in reservoir model development, the data types and analyses that need to be performed in order to develop and parameterize credible and robust reservoir simulation models, and to review existing software that is applicable to these analyses. This report describes this effort and highlights areas in which additional software development, wiki application extensions, or related GS3 infrastructure development may be warranted.

Rockhold, Mark L.; Sullivan, E. C.; Murray, Christopher J.; Last, George V.; Black, Gary D.

2009-09-30T23:59:59.000Z

412

ICSE Workshop on Green and Sustainable Software Engineering, Zurich, Switzerland, 3rd June 2012 An Energy Consumption Model and Analysis Tool for Cloud Computing  

E-Print Network (OSTI)

system-level optimisation. Keywords-green computing; Cloud computing; energy consumption; performanceIn 1st ICSE Workshop on Green and Sustainable Software Engineering, Zurich, Switzerland, 3rd June 2012 An Energy Consumption Model and Analysis Tool for Cloud Computing Environments FeiFei Chen, Jean

Schneider, Jean-Guy

413

Geothermal Properties Measurement Tool | Open Energy Information  

Open Energy Info (EERE)

Geothermal Properties Measurement Tool Geothermal Properties Measurement Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Geothermal Properties Measurement Tool Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Geothermal Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.ornl.gov/sci/ees/etsd/btric/ground-source.shtml Cost: Free References: Geothermal Properties Measurement Tool [1] Logo: Geothermal Properties Measurement Tool The Geothermal Properties Measurement tool was developed at Oak Ridge National Laboratory for geothermal heat pump (GHP) designers and installers to better determine the geothermal properties of a certain location. The Geothermal Properties Measurement Excel tool was developed at Oak Ridge

414

Energy Storage Computational Tool | Open Energy Information  

Open Energy Info (EERE)

Energy Storage Computational Tool Energy Storage Computational Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Storage Computational Tool Agency/Company /Organization: Navigant Consulting Sector: Energy Focus Area: Grid Assessment and Integration Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.smartgrid.gov/recovery_act/program_impacts/energy_storage_computat Country: United States Web Application Link: www.smartgrid.gov/recovery_act/program_impacts/energy_storage_computat Cost: Free Northern America Language: English Energy Storage Computational Tool Screenshot References: Energy Storage Computational Tool[1] SmartGrid.gov[2] Logo: Energy Storage Computational Tool This tool is used for identifying, quantifying, and monetizing the benefits

415

Reference Manual for the System Advisor Models Wind Power Performanc...  

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

options facilitate parametric, sensitivity, and statistical studies that involve multiple simulation runs. The SamUL scripting language is a built-in programming language that...

416

Prioritization Tool  

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

BTO has developed the Prioritization Tool to provide analytical support for its programmatic decision-making and to further accelerate the transformation of the U.S. building energy efficiency sector.

417

Prioritization Tool  

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

Program Peer Review Alexis Abramson Chief Scientist alexis.abramson@ee.doe.gov April 2, 2013 Building Technologies Office Prioritization Tool 2 | Building Technologies Office eere.energy.gov Vision: develop an analytical tool that considers building efficiency measures and technologies, and assesses and compares their potential value into the future Uses: * Inform programmatic decision-making * Examine "what if" scenarios * Create targets for FOAs

418

Perspective of the Science Advisor to the Waste Isolation Pilot Plant  

SciTech Connect

In 1975 Sandia National Laboratories (SNL) was asked by the predecessor to the Department of Energy to assume responsibility for the scientific programs necessary to assure the safe and satisfactory development of a geologic repository in the salt beds of southeast New Mexico. Sandia has continued in the role of Science Advisor to the Waste Isolation Pilot Plant (WIPP) to the present time. This paper will share the perspectives developed over the past 25 years as the project was brought to fruition with successful certification by the Environmental Protection Agency (EPA) on May 13, 1998 and commencement of operations on April 26, 1999.

WEART,WENDELL D.

1999-09-03T23:59:59.000Z

419

Building Energy Software Tools Directory: Solar Tool  

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

Solar Tool Solar Tool Solar Tool logo. Makes the process of accurately sizing and positioning overhangs, shading devices and louvers easy. This software is a must for architects, planners and building services engineers, anyone who needs to quickly determine the extent of solar penetration into buildings, overshadowing or the most appropriate means of shading a window. The program uses a flexible, parametric model on which can be placed any number of horizontal, vertical and detached shades. You can select any date, time or location, seeing immediately the resulting shadows whilst interactively manipulating the geometry to show immediately the effects. You can also choose to automatically optimise the size and shape of any shading device over any range of dates and times you require. Screen Shots

420

Autonomie Automotive Simulation Tool | Open Energy Information  

Open Energy Info (EERE)

Autonomie Automotive Simulation Tool Autonomie Automotive Simulation Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Autonomie Automotive Simulation Tool Agency/Company /Organization: Argonne National Laboratory Focus Area: Economic Development, Vehicles Phase: Create a Vision Topics: Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.transportation.anl.gov/modeling_simulation/PSAT/autonomie.html OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Autonomie[1] Rapidly evaluate new powertrain and propulsion technologies for improving fuel economy through virtual design and analysis in a math-based simulation environment. Argonne has developed a new tool, called Autonomie, to accelerate the

Note: This page contains sample records for the topic "advisor model tool" 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

Training Advisor  

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

Our consulting services provide the client with an overview of the skills needed to help an organization improve its performance, primarily through the analysis of existing organizational problems...

422

Regulatory Tools  

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

Regulatory Tools Regulatory Tools Home CRA - 2004 Final Recertification Decision CRA Comments & Responses CCA - 1996 CRA CARDs & TSDs CCA CARDs & TSDs Regulatory Tools Title 40 CFR Part 191 Environmental Radiation Protection Standards for Management and Disposal of Spent Nuclear Fuel, High-Level and Transuranic Radioactive Wastes. Title 40 CFR Part 194 Criteria for the Certification and Re-Certification of the Waste Isolation Pilot Plant's Compliance With the 40 CFR Part 191 Disposal Regulations. Part I Title 40 CFR Part 194 Criteria for the Certification and Recertification of the Waste Isolation Pilot Plant's Compliance With the Disposal Regulations; Alternative Provisions; Proposed Rule. Friday August 9, 2002. Part II Title 40 CFR Part 194 Criteria for the Certification and Recertification of the Waste Isolation Pilot Plant's Compliance With the Disposal Regulations: Certification Decision; Final Rule. May 18, 1998. Part III

423

Petroleum Reduction Planning Tool | Open Energy Information  

Open Energy Info (EERE)

Petroleum Reduction Planning Tool Petroleum Reduction Planning Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Petroleum Reduction Planning Tool Agency/Company /Organization: National Renewable Energy Laboratory, United States Department of Energy Sector: Energy Focus Area: Biomass, Energy Efficiency, Fuels & Efficiency, Hydrogen, Transportation Phase: Prepare a Plan Topics: Analysis Tools, Pathways analysis Resource Type: Software/modeling tools User Interface: Website Complexity/Ease of Use: Not Available Website: www.afdc.energy.gov/afdc/prep/index.php OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Equivalent URI: cleanenergysolutions.org/content/petroleum-reduction-planning-tool Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation

424

Assess in-depth contributions of selected scenarios to goals...  

Open Energy Info (EERE)

Resource Assessment (SWERA) SolarDS Stochastic Energy Deployment System (SEDS) System Advisor Model (SAM) Tool for Rapid Assessment of City Energy (TRACE) UNDP-Energy Costing Tool...

425

J2 dependents who want to apply for an Employment Authorization Document (EAD) must schedule an appointment with the IPS Immigration Advisor (906.487.2160). Please bring this checklist and  

E-Print Network (OSTI)

an appointment with the IPS Immigration Advisor (906.487.2160). Please bring this checklist and all documents noted below to the Advisor at the time of the appointment. We also request that you bring photocopies

426

Journal of Materials Processing Technology 189 (2007) 192198 Modelling of surface finish and tool flank wear in turning  

E-Print Network (OSTI)

flank wear in turning of AISI D2 steel with ceramic wiper inserts Tugrul ¨Ozela,, Yigit Karpata, Lu, Piscataway, NJ 08854, USA b Department of Mechanical Engineering, University of Aveiro, Campus Santiago, 3810 processes. Surface finishing and tool flank wear have been investigated in finish turning of AISI D2 steels

Ozel, Tugrul

427

Integrating Analytical Models with Descriptive System Models: Implementation of the OMG SyML Standard for the Tool-specific Case of MapleSim and MagicDraw  

Science Journals Connector (OSTI)

The Jet Propulsion Laboratory (JPL) is investing heavily in the development of an infrastructure for building system models using the Systems Modeling Language (SysML). An essential component is a transformation apparatus that permits diverse models to be integrated independently of their nature (e.g. declarative, analytical and statistical). This paper presents one useful case: the integration of analytical models expressed using the Modelica language. Modelica is an open standard, declarative, multi-domain modeling language that allows for complex dynamic systems to be modeled. Maplesoft's MapleSim is one software tool that supports the Modelica language. The tool-neutral specification for the transformation between the languages Modelica and SysML is defined in the SysML-Modelica transformation specification (SyML) standard published by the Object Management Group (OMG). As part of the development efforts, said specification has been implemented using the Query-View- Transformation Operational (QVTO) language. During the process, several critical changes to the current SyML standard were proposed. Furthermore, a number of current limitations related to MapleSim were identified. Despite these issues, a proof-of- concept transformation was successfully implemented. In conclusion, the integration of complex simulation models conforming to the Modelica language with SysML-based system models has shown great promise and is a highly useful tool to support the decision making process in design.

Sebastian J.I. Herzig; Nicolas F. Rouquette; Stephen Forrest; J. Steven Jenkins

2013-01-01T23:59:59.000Z

428

HOW ADVISING HELPSHOW ADVISING HELPSHOW ADVISING HELPSHOW ADVISING HELPS Students can arrange to meet with an academic advisor at the College Undergraduate Office in Room 265 of the Arts  

E-Print Network (OSTI)

to meet with an academic advisor at the College Undergraduate Office in Room 265 of the Arts Building. Usually you must make an appointment to meet with an advisor. You'll need to call 966-4231 (option 2 an advisor quickly, while other times you may have to wait several days. Academic advising can help you

Saskatchewan, University of

429

Undergraduate Advising Chair: Professional/Staff Advisor: Professor John Gubner, gubner@engr.wisc.edu, 3615 EH, 608/263-1471 Stacy Harnett, sharnett@engr.wisc.edu, 2308 EH, 608/890-4594  

E-Print Network (OSTI)

Undergraduate Advising Chair: Professional/Staff Advisor: Professor John Gubner, gubner Engineering Program: Student's Last Name Faculty Advisor Email Office Location Phone Office Hours A ­ F Prof morrow@engr.wisc.edu 3441 EH 890-0805 http://morrow.ece.wisc.edu/schedule.htm ECE UNDERGRADUATE ADVISORS

Wisconsin at Madison, University of

430

Academic/Faculty Advisor Recommendation Form for CPT -Part 1 Page 1 of 3 Rev 5/07 DPm:/icall/icpdf/isss/F1/CPT/CPTreqadvisor rev 04/14  

E-Print Network (OSTI)

Academic/Faculty Advisor Recommendation Form for CPT - Part 1 Page 1 of 3 Rev 5/07 DPm: internationalcenter.umich.edu This form must be completed by an Academic/Faculty Advisor. Part 1 may be completed) ________ Anticipated Academic Program Completion Date ______________ Check one: As the student's advisor, I certify

Papalambros, Panos

431

class ID Last Name First name Dr. Advisor_Family Name 1 Med. IV 200600652 Abi Aad Yasmin Dr. Azar  

E-Print Network (OSTI)

Mostafa Dr. Nihmah-Majdalani 43 Med. IV 200600637 Hseiki Rasha Dr. Noureddine 44 Med. IV 200600642 Ismail. Wakim 70 Med. IV 200600877 Shawwa Khalid Dr. Younis 71 Med. IV 200600332 Shibbani Kamel Dr. Zeinelddineclass ID Last Name First name Dr. Advisor_Family Name 1 Med. IV 200600652 Abi Aad Yasmin Dr. Azar 2

Shihadeh, Alan

432

Single-molecule detection of biomolecules using engineered nanopores Advisor: Prof. Liviu Movileanu, Department of Physics, Syracuse University,  

E-Print Network (OSTI)

Single-molecule detection of biomolecules using engineered nanopores Advisor: Prof. Liviu Movileanu-443-5925 A nanopore may act as an amazingly versatile single-molecule probe that can be employed to reveal several, because single small molecules and biopolymers are examined at very high spatial and temporal resolutions

Mather, Patrick T.

433

BCHP Screening Tool | Open Energy Information  

Open Energy Info (EERE)

BCHP Screening Tool BCHP Screening Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: BCHP Screening Tool Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings, Industry Phase: Determine Baseline, Develop Goals Resource Type: Software/modeling tools, Guide/manual User Interface: Desktop Application Website: www.coolingheatingpower.org/about/bchp-screening-tool.php References: http://www.coolingheatingpower.org/about/bchp-screening-tool.php Logo: BCHP Screening Tool The BCHP Screening Tool is software that can be used to estimate the energy consumption and economics of CHP systems in commercial buildings. The BCHP Screening Tool is software that can be used to estimate the energy consumption and economics of CHP systems in commercial buildings. This tool

434

FASTBUS simulation tools  

SciTech Connect

A generalized model of a FASTBUS master is presented. The model is used with simulation tools to aid in the specification, design, and production of FASTBUS slave modules. The model provides a mechanism to interact with the electrical schematics and software models to predict performance. The model is written in the IEEE std 1076-1987 hardware description language VHDL. A model of the ATC logic is also presented. VHDL was chosen to provide portability to various platforms and simulation tools. The models, in conjunction with most commercially available simulators, will perform all of the transactions specified in IEEE std 960-1989. The models may be used to study the behavior of electrical schematics and other software models and detect violations of the FASTBUS protocol. For example, a hardware design of a slave module could be studied, protocol violations detected and corrected before committing money to prototype development. The master model accepts a stream of high level commands from an ASCII file to initiate FASTBUS transactions. The high level command language is based on the FASTBUS standard routines listed in IEEE std 1177-1989. Using this standard-based command language to direct the model of the master, hardware engineers can simulate FASTBUS transactions in the language used by physicists and programmers to operate FASTBUS systems. 15 refs., 6 figs.

Dean, T.D. (Stanford Linear Accelerator Center, Menlo Park, CA (United States)); Haney, M.J. (Illinois Univ., Urbana, IL (United States))

1991-10-01T23:59:59.000Z

435

Using Local and Regional Air Quality Modeling and Source Apportionment Tools to Evaluate Vehicles and Biogenic Emission Factors  

E-Print Network (OSTI)

and inventories of CO, NO_(x) and VOCs from on-road vehicles estimated by vehicle emission factor models and biogenic emissions of isoprene estimated by a popular biogenic emission model are evaluated using local and regional scale air quality modeling and source...

Kota, Sri H

2014-07-25T23:59:59.000Z

436

Provide Data and Tools  

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

Provide Data and Tools Print E-mail Provide Data and Tools Print E-mail With the advance of observational capabilities, computational power, and scientific research, there is both an opportunity for scientific progress in the study of the Earth system and a need to manage the data and information generated about it. As computational capabilities improve, data volume will continue to grow at an accelerating rate. It is crucial to continue to collect and store these records, but this increased output will also present data management challenges. Addressing this data-volume challenge will require advanced technology to link users to the various data providers and cloud-based tools to facilitate collaboration. In the coming decade, USGCRP will take a leadership role in coordinating these networks, by providing shared data access, analytic capabilities, and modeling frameworks to support integrated research and decision support.

437

System analysis: Developing tools for the future  

SciTech Connect

This report introduces and evaluates system analysis tools that were developed, or are under development, for the Robotics Technology Development Program (RTDP). Additionally, it discusses system analysis work completed using these tools aimed at completing a system analysis of the retrieval of waste from underground storage tanks on the Hanford Reservation near Richland, Washington. The tools developed and evaluated include a mixture of commercially available tools adapted to RTDP requirements, and some tools developed in house. The tools that are included in this report include: a Process Diagramming Tool, a Cost Modeling Tool, an Amortization Modeling Tool, a graphical simulation linked to the Cost Modeling Tool, a decision assistance tool, and a system thinking tool. Additionally, the importance of performance testing to the RTDP and the results of such testing executed is discussed. Further, the results of the Tank Waste Retrieval (TWR) System Diagram, the TWR Operations Cost Model, and the TWR Amortization Model are presented, and the implication of the results are discussed. Finally, the RTDP system analysis tools are assessed and some recommendations are made regarding continuing development of the tools and process.

De Jong, K.; clever, J.; Draper, J.V.; Davies, B.; Lonks, A.

1996-02-01T23:59:59.000Z

438

Software Tools  

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

Software Tools WINDOW for analyzing window thermal and optical performance THERM for analyzing two-dimensional heat transfer through building products Optics for analyzing optical properties of glazing systems International Glazing Database Optical data for glazing products used by WINDOW 5.2 and Optics5.1 including NFRC approved products Complex Glazing Database A database of shading materials and systems, such as roller shades and venetian blinds, that can be used by WINDOW 6 to calculate thermal and optical characteristics of window products with these shading systems. COMFEN A PC Program for calculating the heating and cooling energy use, and visual and thermal comfort, of commercial building facades. RESFEN A PC program for calculating the heating and cooling energy use of windows in residential buildings

439

Cool Farm Tool | Open Energy Information  

Open Energy Info (EERE)

Cool Farm Tool Cool Farm Tool Jump to: navigation, search Tool Summary Name: Cool Farm Tool Agency/Company /Organization: Unilever Sector: Land Focus Area: Agriculture Topics: Co-benefits assessment, Resource assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.unilever.com/aboutus/supplier/sustainablesourcing/tools/?WT.LHNAV= Cost: Free Language: English Cool Farm Tool Screenshot References: Cool Farm Tool [1] Overview "The Cool Farm Tool is a new greenhouse gas calculator for farming. It's easy to use and gives instant results that invite users to try out alternatives and ask 'what if' questions. The tool was commissioned by Unilever from the University of Aberdeen The tool is ideal for farmers, supply chain managers and companies interested in quantifying their

440

The MIT Design Advisor : simple and rapid energy simulation of early-stage building designs  

E-Print Network (OSTI)

Simulation tools, when applied early in the design process, can considerably reduce the energy demand of newly constructed buildings. For a simulation tool to assist with design, it must be easy to use, provide feedback ...

Urban, Bryan J. (Bryan James)

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "advisor model tool" 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

Harmonized Emissions Analysis Tool (HEAT) | Open Energy Information  

Open Energy Info (EERE)

Harmonized Emissions Analysis Tool (HEAT) Harmonized Emissions Analysis Tool (HEAT) Jump to: navigation, search Tool Summary Name: Harmonized Emissions Analysis Tool (HEAT) Agency/Company /Organization: Local Governments for Sustainability Sector: Energy, Land Topics: Co-benefits assessment, - Health, GHG inventory, Implementation, Pathways analysis Resource Type: Software/modeling tools User Interface: Website Complexity/Ease of Use: Moderate Website: www.environmenttools.co.uk/directory/tool/name/harmonized-emissions-an Cost: Free Harmonized Emissions Analysis Tool (HEAT) Screenshot References: ICLEI-HEAT[1] Related Tools Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Prospective Outlook on Long-Term Energy Systems (POLES) ICCT Roadmap Model ... further results Find Another Tool

442

Modelling Tools for the Efficient Design of New Alloys C J Humphreys and H K D H Bhadeshia  

E-Print Network (OSTI)

will revolutionise the way gas turbine (and other) materials are developed. A wide range of computer modelling stress, heat transfer, solidification, residual stress, creep, fatigue, lifetime, etc. In this paper we) Cluster variation method modelling of a potential new turbine disc material: NiTi/Ni2TiAl. (iii) Ab

Cambridge, University of

443

D&D and Risk Assessment Tools  

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

ORISE and PNNL both developed tools to assist in the risk assessment and planning of D&D activities.PNNL developed a Risk D&D tool, a rapid prototype computerbased model, to evaluate...

444

Quality tools in science education  

Science Journals Connector (OSTI)

At a recent Science Teachers State Convention I attended a session called Quality Tools in Science Education and was introduced to an approach to classroom management and student involvement modeled after an industry practice called TQM (total quality management).

Patricia Blanton

2002-01-01T23:59:59.000Z

445

UW-Madison MS-Cart/GIS. Geography Degree Plan The Student, Thesis Advisor and Sub-Area Counselor should sign below, indicating agreement about the  

E-Print Network (OSTI)

UW-Madison MS-Cart/GIS. Geography Degree Plan ­ Fall 2010 The Student, Thesis Advisor and Sub guarantee= _____semesters Cum GPA = _________ Started MS-Cart/GIS _____________ cum credits = ________ BA 370 (Intro Cart) __________________ Geography 377 (Intro GIS) __________________ Geography 378

Wisconsin at Madison, University of

446

Tool to Compare Solar Energy Program Financing Options | Department...  

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

Information Resources Tool to Compare Solar Energy Program Financing Options Tool to Compare Solar Energy Program Financing Options This model is intended to be used for...

447

Co-benefits Evaluation Tools | Open Energy Information  

Open Energy Info (EERE)

tools use simplified models to estimate the magnitude of emission reductions from local air pollution and carbon emissions. Additionally, the tools help determine barriers to...

448

NREL: Energy Analysis - Aron Dobos  

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

economics Primary research interests System modeling tools, particularly the System Advisor Model (SAM) Education and background training M.S. in electrical engineering,...

449

FLUID FLOW MODELING OF RESIN TRANSFER MOLDING FOR COMPOSITE MATERIAL WIND TURBINE BLADE STRUCTURES  

E-Print Network (OSTI)

FLUID FLOW MODELING OF RESIN TRANSFER MOLDING FOR COMPOSITE MATERIAL WIND TURBINE BLADE STRUCTURES the guidance and direction provided by my advisors: Dr. Mandell, Dr. Cairns and Dr. Larsen. I would also like

450

GELU M. NITAPRESENTATIONS AT SCIENTIFIC MEETINGS AND SYM-46. Integrated Idl Tool For 3d Modeling And Imaging Data Analysis  

E-Print Network (OSTI)

, Canada (Invited) 30. Interferometric Observations of the Record-Breaking Decimetric Solar Radio Event. Expanded Owens Valley Solar Array (EOVSA) Testbed and Prototype Gary, Dale E.; Nita, G. M.; Sane, N., 2012., American Geophysical Union, Fall Meeting 2011, abstract #SH44A-07 43. New interactive solar flare modeling

451

Marginal Abatement Cost Tool (MACTool) | Open Energy Information  

Open Energy Info (EERE)

Marginal Abatement Cost Tool (MACTool) Marginal Abatement Cost Tool (MACTool) Jump to: navigation, search Tool Summary Name: Marginal Abatement Cost Tool (MACTool) Agency/Company /Organization: World Bank Climate Smart Planning Platform Sector: Climate, Energy Topics: Analysis Tools User Interface: Spreadsheet Complexity/Ease of Use: Simple Website: climatesmartplanning.org/node/33 Cost: Free Related Tools Global Relationship Assessment to Protect the Environment (GRAPE) Global Trade and Analysis Project (GTAP) Model MIT Emissions Prediction and Policy Analysis (EPPA) Model ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS A spreadsheet tool for building marginal abatement cost curves, and for calculating break-even carbon prices. Supports comparison of costs and

452

Multiscale molecular modeling can be an effective tool to aid the development of biomass conversion technology: A perspective  

Science Journals Connector (OSTI)

Abstract Lignocellulosic biomass is an alternate and renewable source of carbon. However, due to high oxygen content and diverse functionality, its conversion to fuels and chemicals is technologically challenging. Since physico-chemical characteristics of biomass and its derived components are very different from petroleum, fundamental understanding of their interactions with catalysts and solvents and of their behavior during thermochemical processing needs to be developed. In the present paper, we provide a perspective on how multiscale molecular modeling can assist in developing the science of biomass processing. The scope of this paper is limited to liquid phase catalytic and pyrolytic conversion of biomass. CarParrinello molecular dynamics (CPMD), a multiscale method that combines quantum mechanics and classical molecular dynamics and is an excellent choice to simulate biomass interactions in the condensed phase, is discussed. An overview of metadynamics, a method to accelerate CPMD dynamics, is also given. Revealing the chemistry of biomass pyrolysis, identifying liquid phase catalytic reaction mechanisms and developing a fundamental understanding of the role of solvents in biomass processing are the three main areas highlighted in this paper. Molecular modeling based investigations in these areas are reviewed and key findings are summarized. Limitations of the current approaches are discussed and the relevance of multiscale methods like CPMD and metadynamics is discussed. Potential studies that could implement multiscale molecular modeling methods to solve some of the challenging problems in developing biomass conversion technology are elaborated and an outlook is provided.

Samir H. Mushrif; Vallabh Vasudevan; Chethana B. Krishnamurthy; Boddu Venkatesh

2015-01-01T23:59:59.000Z

453

The Oil Security Metrics Model: A Tool for Evaluating the Prospective Oil Security Benefits of DOE's Energy Efficiency and Renewable Energy R&D Programs  

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

505 505 The Oil Security Metrics Model: A Tool for Evaluating the Prospective Oil Security Benefits of DOE's Energy Efficiency and Renewable Energy R&D Programs May 2006 David L. Greene Corporate Fellow Paul N. Leiby Senior Research Staff DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge: Web site: http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source: National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone: 703-605-6000 (1-800-553-6847) TDD: 703-487-4639 Fax: 703-605-6900 E-mail: info@ntis.fedworld.gov

454

PowerTools | Open Energy Information  

Open Energy Info (EERE)

PowerTools PowerTools Jump to: navigation, search Tool Summary LAUNCH TOOL Name: PowerTools Agency/Company /Organization: Candi Controls Sector: Energy Resource Type: Software/modeling tools User Interface: Website Website: www.sdge.com/using-green-button-connect-my-data Language: English PowerTools Screenshot References: SDG&E[1] Use to check recent energy use, set and manage energy saving goals, and track weather patterns related to energy use. Overview PowerTools is a free, secure app that helps you understand your energy use, take action to reduce your energy costs, and stay connected to SDG&E. PowerTools for SDG&E uses your actual energy data through Green Button Connect My Data. You must be an SDG&E customer, use My Account and register for a login at http://www.sdge.com/using-green-button-connect-my-data.

455

GoSam-2.0: a tool for automated one-loop calculations within the Standard Model and beyond  

E-Print Network (OSTI)

We present the version 2.0 of the program package GoSam for the automated calculation of one-loop amplitudes. GoSam is devised to compute one-loop QCD and/or electroweak corrections to multi-particle processes within and beyond the Standard Model. The new code contains improvements in the generation and in the reduction of the amplitudes, performs better in computing time and numerical accuracy, and has an extended range of applicability. The extended version of the "Binoth-Les-Houches-Accord" interface to Monte Carlo programs is also implemented. We give a detailed description of installation and usage of the code, and illustrate the new features in dedicated examples.

G. Cullen; H. van Deurzen; N. Greiner; G. Heinrich; G. Luisoni; P. Mastrolia; E. Mirabella; G. Ossola; T. Peraro; J. Schlenk; J. F. von Soden-Fraunhofen; F. Tramontano

2014-04-28T23:59:59.000Z

456

LLNL-CONF-555171 Simulation Tools  

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

government or Lawrence Livermore National Security, LLC, and shall not be used for advertising or product endorsement purposes. Simulation Tools for Modeling Thermal Spallation...

457

Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on Strategic Forces Armed Services Committee United States Senate (May 8, 2013)  

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

Senior Advisor David Huizenga represented the Department of Energys (DOE) Office of Environmental Management (EM) before the Subcommittee on Strategic Forces Armed Services Committee United States...

458

Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on Strategic Forces Armed Services Committee United States House of Representatives (May 9, 2013)  

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

Senior Advisor David Huizenga represented the Department of Energys (DOE) Office of Environmental Management (EM) before the Subcommittee on Strategic Forces Armed Services Committee United States...

459

FAILURE PREDICTION AND STRESS ANALYSIS OF MICROCUTTING TOOLS  

E-Print Network (OSTI)

of the research to improve the tool life by studying cutting conditions, system dynamics, cutting forces, tool geometry etc. Use of analytical tools for the design of better cutter tools was started in 1975 by Tlusty and Macneil. Numerical tools were highly... runout, shear area etc. These force models can be broadly classified into mechanistic, empirical and analytical models. An analytical model was proposed by Tlusty et al. (1975) for the cutting forces in conventional end milling...

Chittipolu, Sujeev

2010-07-14T23:59:59.000Z

460

Evaluation of a bioluminescent mouse model expressing aromatase PII-promoter-controlled luciferase as a tool for the study of endocrine disrupting chemicals  

SciTech Connect

Dysfunction of the enzyme aromatase (CYP19) is associated with endocrine pathologies such as osteoporosis, impaired fertility and development of hormone-dependent cancers. Certain endocrine disrupting chemicals affect aromatase expression and activity in vitro, but little is known about their ability to do so in vivo. We evaluated a bioluminescent mouse model (LPTA (registered)) CD-1-Tg(Cyp19-luc)-Xen) expressing luciferase under control of the gonadal aromatase pII promoter as an in vivo screening tool for chemicals that may affect aromatase expression. We studied the effects of forskolin, pregnant mare serum gonadotropin and atrazine in this model (atrazine was previously shown to induced pII-promoter-driven aromatase expression in H295R human adrenocortical carcinoma cells). About 2-4 out of every group of 10 male or female Cyp19-luc mice injected i.p. with 10 mg/kg forskolin had increased gonadal bioluminescence after 3-5 days compared to controls; the others appeared non-responsive. Similarly, about 4 per group of 9 individual females injected with pregnant mare serum gonadotropin had increased ovarian bioluminescence after 24 h. There was a statistically significant correlation between ovarian bioluminescence and plasma estradiol concentrations (n = 14; p = 0.022). Males exposed to a single dose of 100 mg/kg or males and females exposed to 5 daily injections of 30 mg/kg atrazine showed no change in gonadal bioluminescence over a 7 day period, but a significant interaction was found between atrazine (100 mg/kg) and time in female mice (p < 0.05; two-way ANOVA). Ex vivo luciferase activity in dissected organs was increased by forskolin in testis, epididymis and ovaries. Atrazine (30 mg/kg/day) increased (30%) luciferase activity significantly in epididymis only. In conclusion, certain individual Cyp19-luc mice are highly responsive to aromatase inducers, suggesting this model, with further optimization, may have potential as an in vivo screening tool for environmental contaminants.

Rivest, Patricia, E-mail: patricia.rivest@iaf.inrs.ca; Devine, Patrick J., E-mail: patrick.devine@iaf.inrs.ca; Sanderson, J. Thomas, E-mail: thomas.sanderson@iaf.inrs.c

2010-11-15T23:59:59.000Z

Note: This page contains sample records for the topic "advisor model tool" 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

Building Energy Software Tools Directory: CPF Tools  

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

CPF Tools CPF Tools CPF Tools logo CPF Tools is the market-leading software for solar installers connecting sales, system design and financing. Screen Shots Keywords Solar Sales, Quoting Tool, Proposal Tool, Solar Financing, Leads, Auto-Populate, Rebate Form, CRM software, Customer and Financing Dashboard Validation/Testing None Expertise Required Basic understanding of PV. Training is provided through our help site, which features training videos, a user community through Get Satisfaction, and user guides. We also offer live phone support and regular training webinars. Users More than 2,000 Audience Solar professionals, including installers, sales representatives, operations and system design specialists. We also offer a "Channel Manager" version of CPF Tools for manufacturers and distributors.

462

TMY3 | OpenEI Community  

Open Energy Info (EERE)

profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data Syndicate content...

463

Methods | Transparent Cost Database  

Open Energy Info (EERE)

information NREL has developed the following cost of energy tools: System Advisor Model (SAM): https:sam.nrel.gov SAM makes performance predictions and cost of...

464

E-Print Network 3.0 - accelerated mouse sam Sample Search Results  

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

decision makers can choose among solar, wind, and Summary: to the National Renewable Energy Laboratory (NREL). NREL has developed a tool--the System Advisor Model (SAM... and...

465

Property:ToolComplexity | Open Energy Information  

Open Energy Info (EERE)

ToolComplexity ToolComplexity Jump to: navigation, search Property Name ToolComplexity Property Type Text Description Complexity, or ease of use, of tool/application Allows Values Simple;Moderate;Advanced;Not Available This is a property of type Text. Pages using the property "ToolComplexity" Showing 14 pages using this property. A Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Benefit Tool + Moderate Applied Dynamic Analysis of the Global Economy (ADAGE) Model + Advanced E Electricity Markets Analysis (EMA) Model + Advanced Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) + Simple Evaluating Public Transit Benefits and Costs: Best Practices Guidebook + Advanced G Global Bus Rapid Transit (BRT) Database + Not Available

466

The wind/hydrogen demonstration system at Utsira in Norway: Evaluation of system performance using operational data and updated hydrogen energy system modeling tools  

Science Journals Connector (OSTI)

An autonomous wind/hydrogen energy demonstration system located at the island of Utsira in Norway was officially launched by Norsk Hydro (now StatoilHydro) and Enercon in July 2004. The main components in the system installed are a wind turbine (600kW), water electrolyzer (10Nm3/h), hydrogen gas storage (2400Nm3, 200bar), hydrogen engine (55kW), and a PEM fuel cell (10kW). The system gives 23 days of full energy autonomy for 10 households on the island, and is the first of its kind in the world. A significant amount of operational experience and data has been collected over the past 4 years. The main objective with this study was to evaluate the operation of the Utsira plant using a set of updated hydrogen energy system modeling tools (HYDROGEMS). Operational data (10-min data) was used to calibrate the model parameters and fine-tune the set-up of a system simulation. The hourly operation of the plant was simulated for a representative month (March 2007), using only measured wind speed (m/s) and average power demand (kW) as the input variables, and the results compared well to measured data. The operation for a specific year (2005) was also simulated, and the performance of several alternative system designs was evaluated. A thorough discussion on issues related to the design and operation of wind/hydrogen energy systems is also provided, including specific recommendations for improvements to the Utsira plant. This paper shows how important it is to improve the hydrogen system efficiency in order to achieve a fully (100%) autonomous wind/hydrogen power system.

ystein Ulleberg; Torgeir Nakken; Arnaud Et

2010-01-01T23:59:59.000Z

467

Test Factoring: Focusing Test Suites for the Task at Hand Michael D. Ernst, research advisor  

E-Print Network (OSTI)

Test Factoring: Focusing Test Suites for the Task at Hand David Saff Michael D. Ernst, research and Subject Descriptors: D.2.5 (Testing and Debug� ging): Testing tools General Terms: Algorithms, Design, Performance, Verification Keywords: test factoring, mock objects, unit testing 1. Problem: slow, unfocused

Liskov, Barbara

468

Test Factoring: Focusing Test Suites for the Task at Hand Michael D. Ernst, research advisor  

E-Print Network (OSTI)

Test Factoring: Focusing Test Suites for the Task at Hand David Saff Michael D. Ernst, research and Subject Descriptors: D.2.5 (Testing and Debug- ging): Testing tools General Terms: Algorithms, Design, Performance, Verification Keywords: test factoring, mock objects, unit testing 1. Problem: slow, unfocused

Liskov, Barbara

469

Ootw Tool Requirements in Relation to JWARS  

SciTech Connect

This document reports the results of the CMke of the Secretary of Defense/Program Analysis & Evaluation (OSD/PA&E) sponsored project to identify how Operations Other Than War (OOTW) tool requirements relate to the Joint Warfare Simulation (JWARS) and, more generally, to joint analytical modeling and simulation (M&S) requirements. It includes recommendations about which OOTW tools (and functionality within tools) should be included in JWARS, which should be managed as joint analytical modeling and simulation (M&S) tools, and which should be left for independent development.

Hartley III, D.S.; Packard, S.L.

1998-01-01T23:59:59.000Z

470

Performance Tools Jonathan Carter NUG October 2008 Meeting Overview  

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

Profiling and Profiling and Performance Tools Jonathan Carter NUG October 2008 Meeting Overview * Why use profiling and performance tools? * What information can tools provide? * Tools available - IPM - Craypat - Apprentice2 * Recommendations Why use profiling tools? * Understand and improve application performance - Computation and communication * Determine application concurrency sweet spot * ERCAP Considerations * How much time will profiling experiments take? - Use appropriate data volumes and concurrencies - Tradeoff of science vs. tuning * Interpreting data - Some data is easy to interpret, e.g. MPI_Barrier() time - Other data requires a performance model to understand whether a measurement is good or bad * Tool Robustness - Increased data volume and concurrency increases chance of tool failure Information from Tools

471

Property:OpenEI/Tool/Keyword | Open Energy Information  

Open Energy Info (EERE)

Keyword Keyword Jump to: navigation, search Property Name OpenEI/Tool/Keyword Property Type String Pages using the property "OpenEI/Tool/Keyword" Showing 25 pages using this property. (previous 25) (next 25) A ActiveGreenScore + Cleanweb Hackathon +, Boston +, Community Generated + Alternative Fueling Station Locator + Featured + Autonomie Automotive Simulation Tool + Energy Efficiency and Renewable Energy (EERE) Tools + B BEST v2 + Challenge Generated +, Green Button Apps + BEopt + EERE tool +, BEopt + BITES + Featured + BIY - Budget It Yourself + Challenge Generated +, Green Button Apps + Badema + Cleanweb Hackathon +, Boston +, Community Generated + Bioenergy KDF + Energy Efficiency and Renewable Energy (EERE) Tools + Biofuels Techno-Economic Models + EERE tool +, Biofuels Techno-Economic Models +

472

Building Energy Software Tools Directory: Tools by Country - Canada  

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

Canada Canada A C D E F H I M P R S V Tool Applications Free Recently Updated Athena Model life cycle assessment, environment, building materials, buildings Free software. CATALOGUE windows, fenestration, product information, thermal characteristics Free software. DAYSIM annual daylight simulations, electric lighting energy use, lighting controls Free software. Software has been updated. EE4 CBIP whole building performance, building incentives Free software. Software has been updated. EE4 CODE standards and code compliance, whole building energy performance Free software. Software has been updated. Energy Profile Tool benchmarking, energy efficiency screening, end-use energy analysis, building performance analysis, utility programs ENERPASS

473

Assessment of the effectiveness of the advanced programmatic risk analysis and management model (apram) as a decision support tool for construction projects  

E-Print Network (OSTI)

Construction projects are complicated and fraught with so many risks that many projects are unable to meet pre-defined project objectives. Managers of construction projects require decision support tools that can be used to identify, analyze...

Imbeah, William Kweku Ansah

2007-09-17T23:59:59.000Z

474

Effective Guidance and Tools  

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

Top Innovations in this category include tools, software, and guides that have significantly influenced or changed design or construction practices. These include practical, hands-on resources as well as technical energy analysis tools.

475

G3 students are to write a written progress report annually (suggested to be 2-3 pg in length), to be submitted to their advisor and their DAC, and used as the basis of a DAC committee meeting. This form acknowledges completion of  

E-Print Network (OSTI)

), to be submitted to their advisor and their DAC, and used as the basis of a DAC committee meeting. This form or plans; OR By presenting this form, I certify that my research Advisor and Chair of my DAC (ie, 2nd Signature / Date Dissertation Advisory Committee Members Advisor / First Reader (print

476

AMO Software Tools  

Office of Energy Efficiency and Renewable Energy (EERE)

This presentation, hosted by the Advanced Manufacturing Office, provides an overview of tools and resources available for industrial energy management

477

Mixed Mode Simulation Tools  

E-Print Network (OSTI)

M. (2011). Assessment of natural and hybrid ventilationTools in the Assessment of Hybrid Natural/Mechanical

Gandhi, Priya; Brager, Gail; Dutton, Spencer

2014-01-01T23:59:59.000Z

478

Adjustable cutting tool holder  

SciTech Connect

This patent application describes a device for varying the geometry of a cutting tool for use in machining operations.

Steinhour, William Lee III; West, Drew; Honeycutt, Steve; Frank, Steven; Krishnamurthy, Kallutla

2000-09-21T23:59:59.000Z

479

.JETEQUIPMENT &TOOLS OPERATOR'S MANUAL  

E-Print Network (OSTI)

.JETEQUIPMENT &TOOLS OPERATOR'S MANUAL JDP-14J/14M/17M/14JF/14 MF/17MF DRILL PRESS Stock No. .JET-6000 FAX[253] 939-8001 #12;OPERATINGINSTRUCTIONS Before operating the unit, please read this manual workpiece. 7. MAINTAIN TOOLS WITH CARE. Keep tools sharp and clean for the best and safest performance

Kleinfeld, David

480

MEMORANDUM FOR THE SECRETARY THROUGH: ARUN MAJUNIDAR SElVlOR ADVISOR/DIRECTOR, ARPA-E  

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

3,2011 3,2011 MEMORANDUM FOR THE SECRETARY THROUGH: ARUN MAJUNIDAR SElVlOR ADVISOR/DIRECTOR, ARPA-E FROM: TRACEY LEBEAU DIRECTOR, WILLIAM J. VALDEZ ACTING DIRECTOR, IMPACT AND DIVERSITY SUBJECT: Department of Energy Policy on lndian Energy Purchase Preference under the Energy Policy Act of 2005 ISSUE: The Department of Energy does not have a policy in place implementing the statutory authority under section 2602(d) of the lndian Tribal Energy Development and Self-Determination Act of 2005 (Title V of the Energy Policy Act of 2005) t o give preference in purchasing electricity or any other energy product or by-product from lndian tribes or tribal enterprises. We propose that the Department adopt a policy t o implement this statutory preference in the Department's procurement of renewable

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481

NETL - World CO2 Emissions - Projected Trends Tool | Open Energy  

Open Energy Info (EERE)

NETL - World CO2 Emissions - Projected Trends Tool NETL - World CO2 Emissions - Projected Trends Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NETL - World CO2 Emissions - Projected Trends Tool Agency/Company /Organization: National Energy Technology Laboratory Sector: Energy Topics: GHG inventory Resource Type: Software/modeling tools Website: www.netl.doe.gov/energy-analyses/refshelf/results.asp?ptype=Models/Too References: NETL - World CO2 Emissions - Projected Trends Tool [1] NETL - World CO2 Emissions - Projected Trends Tool This interactive tool enables the user to look at both total and power sector CO2 emissions from the use of coal, oil, or natural gas, over the period 1990 to 2030. One can use the tool to compare five of the larger CO2 emitters to each other or to overall world emissions. The data are from the

482

OpenStudio Policy Analysis Tool | Open Energy Information  

Open Energy Info (EERE)

OpenStudio Policy Analysis Tool OpenStudio Policy Analysis Tool Jump to: navigation, search Tool Summary Name: OpenStudio Policy Analysis Tool Agency/Company /Organization: National Renewable Energy Laboratory Sector: Climate Focus Area: Geothermal Phase: Evaluate Options Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Website Website: openstudio.nrel.gov/openstudio-getting-started/policy-analysis-tool/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Policy Analysis Tool[1] Perform simple modeling and analysis by visually comparing sets of perturbation results and evaluating them against collections of standards rules. The Policy Analysis Tool is a data manipulation and data visualization tool

483

NETL - Bituminous Baseline Performance and Cost Interactive Tool | Open  

Open Energy Info (EERE)

NETL - Bituminous Baseline Performance and Cost Interactive Tool NETL - Bituminous Baseline Performance and Cost Interactive Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Bituminous Baseline Performance and Cost Interactive Tool Agency/Company /Organization: National Energy Technology Laboratory Sector: Energy Topics: Baseline projection, GHG inventory Resource Type: Software/modeling tools Website: www.netl.doe.gov/energy-analyses/refshelf/results.asp?ptype=Models/Too References: Bituminous Baseline Performance and Cost Interactive Tool [1] Bituminous Baseline Performance and Cost Interactive Tool The Bituminous Baseline Performance and Cost Interactive Tool illustrates key data from the Cost and Performance Baseline for Fossil Energy Plants - Bituminous Coal and Natural Gas to Electricity report. The tool provides an

484

NREL-Decision-Support Tools Demonstration | Open Energy Information  

Open Energy Info (EERE)

NREL-Decision-Support Tools Demonstration NREL-Decision-Support Tools Demonstration Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Decision-Support Tools Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Policies/deployment programs, Pathways analysis, Technology characterizations Resource Type: Software/modeling tools, Presentation, Training materials Website: prod-http-80-800498448.us-east-1.elb.amazonaws.com//w/images/2/29/WIRE Decision-Support Tools Screenshot References: Decision-Support Tools [1] Logo: Decision-Support Tools "This is a short demonstration of three decision-support tools: GsT, HOMER, and JEDI. These tools can be used to make informed decisions regarding the application of renewable energy technologies." Summary

485

Carbon Value Analysis Tool (CVAT) | Open Energy Information  

Open Energy Info (EERE)

Carbon Value Analysis Tool (CVAT) Carbon Value Analysis Tool (CVAT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Value Analysis Tool (CVAT) Agency/Company /Organization: World Resources Institute Sector: Energy, Land Topics: Co-benefits assessment, Finance, GHG inventory Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.wri.org/publication/carbon-value-analysis-tool Cost: Free Carbon Value Analysis Tool (CVAT) Screenshot References: CVAT[1] he Carbon Value Analysis Tool (CVAT) is a screening tool to help companies integrate the value of carbon dioxide emissions reductions into energy-related investment decisions. The tool has two main purposes: To test the sensitivity of a project's internal rate of return (IRR) to "carbon value" (the value of GHG emissions reductions). CVAT integrates this value into traditional financial analysis by ascribing a market price, either actual or projected, to carbon emissions reductions.

486

Benchmarking and Energy Saving Tool | Open Energy Information  

Open Energy Info (EERE)

Benchmarking and Energy Saving Tool Benchmarking and Energy Saving Tool Jump to: navigation, search Tool Summary Name: Benchmarking and Energy Saving Tool Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Energy Efficiency, - Central Plant, Industry Topics: Pathways analysis Resource Type: Software/modeling tools User Interface: Spreadsheet Website: industrial-energy.lbl.gov/node/100 Cost: Free Language: English References: Benchmarking and Energy Saving Tool [1] Logo: Benchmarking and Energy Saving Tool The Benchmarking and Energy Saving Tool (BEST) is an Excel-based spreadsheet energy analysis tool developed by Lawrence Berkeley National Laboratory. The Benchmarking and Energy Saving Tool (BEST) is an Excel-based spreadsheet energy analysis tool developed by Lawrence Berkeley National

487

Climate Analysis Indicators Tool (CAIT) | Open Energy Information  

Open Energy Info (EERE)

Climate Analysis Indicators Tool (CAIT) Climate Analysis Indicators Tool (CAIT) (Redirected from Climate Analysis Indicators Tool) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: WRI Climate Analysis Indicators Tool Agency/Company /Organization: World Resources Institute Sector: Climate, Energy, Land Topics: GHG inventory Resource Type: Dataset, Software/modeling tools User Interface: Website Website: cait.wri.org/ Language: English WRI Climate Analysis Indicators Tool Screenshot References: Climate Analysis Indicators Tool[1] CAIT is the Climate Analysis Indicators Tool -- an information and analysis tool on global climate change. It provides a comprehensive and comparable database of greenhouse gas emissions data (including all major sources and sinks) and other climate-relevant indicators. CAIT can be used to analyze a

488

Tools & Resources | ornl.gov  

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

Clean Energy Home | Science & Discovery | Clean Energy | Tools & Resources SHARE Tools & Resources The following lists contain links to informational guides, helpful tools, and detailed resources. Energy and Transportation Fuel Economy.gov Freight Analysis Framework Transportation Energy Data Book National Household Transportation Survey Biomass Energy Databook Vehicle Technologies Market Report Intelligent Transportation Systems Tracking ITS Overview Commercial Motor Vehicle Roadside Technology Corridor FEERC Interactive Tour Building Technologies Research Foundation Handbook Roof Savings Calculator ZEBRAlliance WUFI Insulation Fact Sheet Heat Pump Design Model BCHP Screening Tool Low-Slope Roof Calculator for Commercial Buildings Moisture Control in Low Slope Roofing

489

Ocean Applicable Tools | Data.gov  

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

Applicable Tools Applicable Tools Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Available Tools Click on each link to learn more about the purpose, methodology, and application of a tool or collection of tools. Artificial Intelligence for Ecosystem Services (ARIES) URL: http://www.ariesonline.org/ Purpose: ARIES was designed to make land use policy and environmental decisions easier and more effective by helping users map and quantify environmental assets and the factors that influence their value. ARIES allows users to model and quantify the impacts of landscape feature changes on the provision of ecosystem services, thereby allowing the evaluation and comparison of alternative scenarios for climate change, land use, or land

490

Software demonstration: Demand Response Quick Assessment Tool  

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

Software demonstration: Demand Response Quick Assessment Tool Software demonstration: Demand Response Quick Assessment Tool Speaker(s): Peng Xu Date: February 4, 2008 - 12:00pm Location: 90-3122 The potential for utilizing building thermal mass for load shifting and peak demand reduction has been demonstrated in a number of simulation, laboratory, and field studies. The Demand Response Quick Assessment Tools developed at LBNL will be demonstrated. The tool is built on EnergyPlus simulation and is able to evaluate and compare different DR strategies, such as global temperature reset, chiller cycling, supply air temperature reset, etc. A separate EnergyPlus plotting tool will also be demonstrated during this seminar. Users can use the tool to test EnergyPlus models, conduct parametric analysis, or compare multiple EnergyPlus simulation

491

Enterprise integration: A tool`s perspective  

SciTech Connect

The advent of sophisticated automation equipment and computer hardware and software is changing the way manufacturing is carried out. To compete in the global marketplace, manufacturing companies must integrate these new technologies into their factories. In addition, they must integrate the planning, control, and data management methodologies needed to make effective use of these technologies. This paper provides an overview of recent approaches to achieving this enterprise integration. It then describes, using simulation as a particular example, a new tool`s perspective of enterprise integration.

Polito, J. [Sandia National Labs., Albuquerque, NM (United States); Jones, A. [National Inst. of Standards and Technology, Gaithersburg, MD (United States); Grant, H. [National Science Foundation, Washington, DC (United States)

1993-06-01T23:59:59.000Z

492

Modular Applied General Equilibrium Tool (MAGNET) | Open Energy Information  

Open Energy Info (EERE)

Modular Applied General Equilibrium Tool (MAGNET) Modular Applied General Equilibrium Tool (MAGNET) Jump to: navigation, search Tool Summary Name: Modular Applied General Equilibrium Tool (MAGNET) Agency/Company /Organization: LEI Wageningen UR, the Netherlands Complexity/Ease of Use: Moderate Related Tools Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) Climate Rapid Overview and Decision Support (C-ROADS) Simulator Partnership for Economic Policy Modeling and Policy Impact Analysis (MPIA) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS A modular global computable general equilibrium model that covers the whole economy and has been used extensively in agricultural, environmental, and trade policy analysis; builds on the GTAP model, and is the successor of LEITAP. Approach MAGNET is based on the Global Trade Analysis Project (GTAP) model and

493

Machine tool locator  

DOE Patents (OSTI)

Machine tools can be accurately measured and positioned on manufacturing machines within very small tolerances by use of an autocollimator on a 3-axis mount on a manufacturing machine and positioned so as to focus on a reference tooling ball or a machine tool, a digital camera connected to the viewing end of the autocollimator, and a marker and measure generator for receiving digital images from the camera, then displaying or measuring distances between the projection reticle and the reference reticle on the monitoring screen, and relating the distances to the actual position of the autocollimator relative to the reference tooling ball. The images and measurements are used to set the position of the machine tool and to measure the size and shape of the machine tool tip, and examine cutting edge wear. patent

Hanlon, John A. (Los Alamos, NM); Gill, Timothy J. (Stanley, NM)

2001-01-01T23:59:59.000Z

494

Computational Tools to Accelerate Commercial Development  

SciTech Connect

The goals of the work reported are: to develop new computational tools and models to enable industry to more rapidly develop and deploy new advanced energy technologies; to demonstrate the capabilities of the CCSI Toolset on non-proprietary case studies; and to deploy the CCSI Toolset to industry. Challenges of simulating carbon capture (and other) processes include: dealing with multiple scales (particle, device, and whole process scales); integration across scales; verification, validation, and uncertainty; and decision support. The tools cover: risk analysis and decision making; validated, high-fidelity CFD; high-resolution filtered sub-models; process design and optimization tools; advanced process control and dynamics; process models; basic data sub-models; and cross-cutting integration tools.

Miller, David C.

2013-01-01T23:59:59.000Z

495

Pumping System Assessment Tool  

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

The Pumping System Assessment Tool (PSAT) is a free online software tool to help industrial users assess the efficiency of pumping system operations. PSAT uses achievable pump performance data from Hydraulic Institute standards and motor performance data from the MotorMaster+ database to calculate potential energy and associated cost savings. The tool also enables users to save and retrieve log files, default values, and system curves for sharing analyses with other users.

496

BlackboardSectioningTool Course Sectioning The Sectioning Tool  

E-Print Network (OSTI)

sectioning tool: Consult the online help provided within the sectioning tool Call the OIT Help Desk at (609 by those preferences, select Enable/Configure Student Preference Tool. Need help using the BlackboardBlackboardSectioningTool Course Sectioning 1 The Sectioning Tool The Sectioning Tool is a course

Bou-Zeid, Elie

497

Risk Management Tool Attributes:  

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

- Tools & SMEs - Tools & SMEs Outline for Breakout Session TOOLS 1. Types of Tools a. Risk Management - Database & Reports, risk register, risk forms, risk tracking & monitoring, basis of estimate, action item tracking, historical record of risks & changes, configuration control, enterprise-wide, metrics, risk performance index, risk checklist, graphical display, management reporting (various levels), risk communications b. Risk Analysis i. Cost, ii. budgets, funding, cash-flow analysis, iii. Schedule iv. tailoring categories v. Integrated Cost & Schedule vi. Project phase analysis; organization ownership & joint planning c. Risk Knowledge and Lessons Learned Database i. Enterprise-wide ii. Job/owner-specific iii. Workshops - project specific, risk management,

498

Renewable Energy Evaluation Tools  

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

RENEWABLE ENERGY RENEWABLE ENERGY EVALUATION TOOLS Andy Walker, PhD PE Principal Engineer, NREL Renewable Energy Round Table May 2, 2012 2 TECHNICAL ASSESSMENT AND SCREENING TOOLS WE USE IN OUR PROJECTS Campus/Base Assessments INFRASTRUCTURE BUILDINGS ASSESSMENT RENEWABLE SUPPLY SIDE VEHICLES & TOOLS Campus/Base Assessments INFRASTRUCTURE BUILDINGS ASSESSMENT RENEWABLE SUPPLY SIDE VEHICLES & TOOLS 9 9 Renewable Energy Technologies Photovoltaics Daylighting Biomass Heat/Power Concentrating Solar Heat/Power Solar Vent Air Preheat Solar Water Heating Wind Power Ground Source Heat Pump Landfill Gas 10 10 Renewable Energy Resources Geographical Information System (GIS) Datasets * NREL Datasets (http://www.nrel.gov/gis/) - solar radiation 10x10 km grid

499

Manifold tool guide  

DOE Patents (OSTI)

A tool guide is described that makes possible the insertion of cleaning and/or inspection tools into a manifold pipe that will dislocate and extract the accumulated sediment in such manifold pipes. The tool guide basically comprises a right angled tube (or other angled tube as required) which can be inserted in a large tube and locked into a radially extending cross pipe by adjustable spacer rods and a spring-loaded cone, whereby appropriate cleaning tools can be inserted into the cross pipe for cleaning, inspection, etc. 3 figs.

Djordjevic, A.

1983-12-27T23:59:59.000Z

500

Manifold tool guide  

DOE Patents (OSTI)

A tool guide that makes possible the insertion of cleaning and/or inspection tools into a manifold pipe that will dislocate and extract the accumulated sediment in such manifold pipes. The tool guide basically comprises a right angled tube (or other angled tube as required) which can be inserted in a large tube and locked into a radially extending cross pipe by adjustable spacer rods and a spring-loaded cone, whereby appropriate cleaning tools can be inserted into to cross pipe for cleaning, inspection, etc.

Djordjevic, A.

1982-07-08T23:59:59.000Z