Sample records for analyst model portfolios

  1. Optimal portfolios using Linear Programming models

    E-Print Network [OSTI]

    Cpu

    2002-10-17T23:59:59.000Z

    Feb 12, 2003 ... The problem. The portfolio manager Sigma wants to construct an optimal portfolio for a customer. .... It is easy to show that it is also possible ...

  2. Modeling Generator Power Plant Portfolios and Pollution Taxes

    E-Print Network [OSTI]

    Nagurney, Anna

    Modeling Generator Power Plant Portfolios and Pollution Taxes in Electric Power Supply Chain;Modeling Energy Taxes and Credits: The Genco's Choice · Each Genco has a portfolio of power plants · Each power plant can have different supply costs and transaction costs · Supply costs can reflect capital

  3. Resource Portfolio Model's Determination of Conservation's Cost-Effectiveness1

    E-Print Network [OSTI]

    ,008 average megawatts of conservation8. The electricity price forecast used for this initial estimResource Portfolio Model's Determination of Conservation's Cost- Effectiveness1 The regional Resource Portfolio Model (RPM) finds large amounts of conservation cost effective. The cost of some

  4. Management Analyst

    Broader source: Energy.gov [DOE]

    The incumbent in this position will serve as a Management Analyst in the Strategy Execution group of the Corporate Strategy organization (SE). The Strategy Execution group develops and coordinates...

  5. The electricity portfolio simulation model (EPSim) technical description.

    SciTech Connect (OSTI)

    Drennen, Thomas E.; Klotz, Richard (Hobart and William Smith Colleges, Geneva, NY)

    2005-09-01T23:59:59.000Z

    Stakeholders often have competing interests when selecting or planning new power plants. The purpose of developing this preliminary Electricity Portfolio Simulation Model (EPSim) is to provide a first cut, dynamic methodology and approach to this problem, that can subsequently be refined and validated, that may help energy planners, policy makers, and energy students better understand the tradeoffs associated with competing electricity portfolios. EPSim allows the user to explore competing electricity portfolios annually from 2002 to 2025 in terms of five different criteria: cost, environmental impacts, energy dependence, health and safety, and sustainability. Four additional criteria (infrastructure vulnerability, service limitations, policy needs and science and technology needs) may be added in future versions of the model. Using an analytic hierarchy process (AHP) approach, users or groups of users apply weights to each of the criteria. The default energy assumptions of the model mimic Department of Energy's (DOE) electricity portfolio to 2025 (EIA, 2005). At any time, the user can compare alternative portfolios to this reference case portfolio.

  6. Modeling Generator Power Plant Portfolios and Pollution Taxes in

    E-Print Network [OSTI]

    Nagurney, Anna

    Modeling Generator Power Plant Portfolios and Pollution Taxes in Electric Power Supply Chain-term solution (e.g.,are long-term solution (e.g., solar power and wind power (solar power and wind power Heavy user of fossil fuels:Heavy user of fossil fuels: Electric power industryElectric power industry

  7. CloudAnalyst: A CloudSim-based Visual Modeller for Analysing Cloud Computing Environments and Applications

    E-Print Network [OSTI]

    Calheiros, Rodrigo N.

    CloudAnalyst: A CloudSim-based Visual Modeller for Analysing Cloud Computing Environments and Applications Bhathiya Wickremasinghe1 , Rodrigo N. Calheiros2 , and Rajkumar Buyya1 1 The Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computer Science and Software Engineering The University

  8. Bayesian Network Models of Portfolio Risk and Return

    E-Print Network [OSTI]

    Shenoy, Catherine; Shenoy, Prakash P.

    2000-01-01T23:59:59.000Z

    . Finance models focus on the historical, quantitative relationships between economic variables. However, financial analysts usually combine historical data with qualitative information and judge how this information affects stock returns, market return... Rate (IR), Stock Market (SM), Oil Industry (OI), and Oil Company Stock Price (SP). At the quantitative level, we specify conditional probability distributions for each variable in the network. Each variable has a set of possible values called its state...

  9. Operations Research Analyst

    Broader source: Energy.gov [DOE]

    The incumbent in this position will serve as an Operations Research Analyst in the Generation Scheduling (PGS). The Operations Research Analyst is responsible for analytical work that involves...

  10. Business Analyst Certificate Program

    E-Print Network [OSTI]

    Rose, Michael R.

    Business Analyst Certificate Program BusinessandManagement extension.uci.edu/ba #12;Business Analyst Certificate Program Business Analysts Capture Requirements to Build What the Customer Wants. The Business Analyst serves as the key liaison between the client, stakeholders, and the solutions team

  11. R i l P tf li M d lRegional Portfolio Model Software Redevelopment

    E-Print Network [OSTI]

    R i l P tf li M d lRegional Portfolio Model Software Redevelopment Request for Proposals #12;II. Services Desired by the CouncilII. Services Desired by the Council Software redevelopment of the Council's Regional Software redevelopment of the Council s Regional Portfolio Model (RPM) Redeveloped

  12. FROM BUSINESS MODEL TO BUSINESS MODEL PORTFOLIO IN THE EUROPEAN BIOPHARMACEUTICAL INDUSTRY

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    FROM BUSINESS MODEL TO BUSINESS MODEL PORTFOLIO IN THE EUROPEAN BIOPHARMACEUTICAL INDUSTRY 1 GAEL and of the anticipations of consumers' needs, the business model approach complements corporate and business strategy approaches. Firms combine several business models simultaneously to deliver value to different markets

  13. Tractable Robust Expected Utility and Risk Models for Portfolio ...

    E-Print Network [OSTI]

    Mar 13, 2008 ... for the OCE risk measures and optimal portfolios are provided for ...... The Journal of Financial and Quantitative Analysis, 12(2):291–313, 1977.

  14. Modeling the Impact of Product Portfolio on the Economic and Environmental Performance of Recycling Systems

    E-Print Network [OSTI]

    Dahmus, Jeffrey B.

    hrough the development of a general model of electronics recycling systems, the effect of product portfolio choices on economic and environmental system performance is explored. The general model encompasses the three main ...

  15. Financial Business Analyst

    Broader source: Energy.gov [DOE]

    The incumbent in this position will serve as a Financial Business Analyst in the Financial Information Systems organization of Finance. The incumbent is responsible for performing analytical and...

  16. A credit risk model for agricultural loan portfolios under the new Basel Capital Accord

    E-Print Network [OSTI]

    Kim, Juno

    2005-08-29T23:59:59.000Z

    The New Basel Capital Accord (Basel II) provides added emphasis to the development of portfolio credit risk models. An important regulatory change in Basel II is the differentiated treatment in measuring capital requirements for the corporate...

  17. Complexity cost quantification and modeling for strategic portfolio management

    E-Print Network [OSTI]

    Ma, Jan, S.M. Massachusetts Institute of Technology

    2014-01-01T23:59:59.000Z

    This project explores portfolio management and planning through effectively reducing complexity within operations. We apply this to a major healthcare company (referred to as Company X). The anticipated launch of new ...

  18. The CouncilThe Council''s Regionals Regional Portfolio ModelPortfolio Model

    E-Print Network [OSTI]

    Summer Winter Coal Operating CostsOperating Costs Model Overview #12;Page 3 5 Sources of Uncertainty Power Plan All of those to the left, except, perhaps, aluminum price Power plant construction costs, and labor costs Retirement Risk Carrying the forward-going fixed cost of an unused plant Undervaluing

  19. Operation Research Analyst

    Broader source: Energy.gov [DOE]

    The incumbent in this position will serve as an Operation Research Analyst in the Market Analysis and Pricing organization of Power Services. This organization is responsible for performing market...

  20. Operations Research Analyst

    Broader source: Energy.gov [DOE]

    This position may be located in the Office of Energy Analysis or the Office of Energy Statistics of EIA. This position is established to provide an expert analyst to perform mathematical,...

  1. Credit Risk Analyst

    Broader source: Energy.gov [DOE]

    The incumbent in this position will serve as a Credit Risk Analyst in the Transacting and Credit Risk Management department of the Office of Risk Management. The Transacting and Credit Risk...

  2. A Requirements Analyst's Apprentice: A Proposal

    E-Print Network [OSTI]

    Reubenstein, Howard

    The Requirements Analyst's APprentice (RAAP) partially automates the modeling process involved in creating a software requirement. It uses knowledge of the specific domain and general experience regarding software requirements ...

  3. Optimal Asset Allocation with Factor Models for Large Portfolios

    E-Print Network [OSTI]

    Pesaran, M Hashem; Zaffaroni, P

    ? ?) of the various tangency portfolio weights to be considered below, we further require the following assumption: Assumption 4 (mixed limit conditions) At any given point in time t as N ?? (B? e?¯?)?H?1t (B? e?¯?) N ?p At > 0, (10) B?H?1t H?1t B N ?p Ct ? 0, (11) 7... ?1 ? er0,t?1) ??1t?1(µt?1 ? er0,t?1). (43) Theorem 3 (minimum variance portfolio) 21 (i) Let w?mvit = N?1 (µ? ? r0t) et e ? iH?1t {(?t ? er0t) + [at(?t ? er0t)?¯? ? (ct ? atr0t)B]A?1t ?¯ } . (44) When conditions (7), (10), (11), (12), (13), (14), (16...

  4. An estimation-free, robust CVaR portfolio allocation model

    E-Print Network [OSTI]

    2007-03-27T23:59:59.000Z

    Mar 27, 2007 ... of these models have produced great theoretical impact, their practical ... the riskfree interest rate, and the asset returns, for dynamic portfolio models (cf. [12]). ...... Therefore, all the analysis and results presented through out the paper will ... [8] J. ?Cerbáková, Worst-case Var and CVaR, Operations Research ...

  5. Importance Sampling Methods for Estimating Convex Risk Measures in Portfolio Credit Risk Models

    E-Print Network [OSTI]

    Grübel, Rudolf

    obligors. Owing to the complexity of realistic models, quantitative risk analysis typically requires Monte the shortcomings of the industry standard Value-at-Risk (VaR). Our analysis demonstrates that standard Monte risk analysis to realistic credit portfolio models. During the past decade an intense effort has been

  6. Modeling Generator Power Plant Portfolios and Pollution Taxes Electric Power Supply Chain Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    than a third arises from generating electricity. With the accumulating evidence of global warming, any affect the equilibrium electric power supply chain network production outputs, the transactions betweenModeling Generator Power Plant Portfolios and Pollution Taxes in Electric Power Supply Chain

  7. January 2006 L-1 Appendix L: The Portfolio Model

    E-Print Network [OSTI]

    of uncertainties, like load and hydro generation, are to some extent separable from the rest of the model. (This the characteristics and treatment of independent power producers (IPPs). 1 Chapter 6 defines the terms "plan," "future® Monte Carlo games are prepared and how the OptQuestTM stochastic optimization application is configured

  8. Growth-optimal investments and numeraire portfolios under transaction costs: An analysis based on the von Neumann-Gale model

    E-Print Network [OSTI]

    Bahsoun, Wael; Taksar, Michael I

    2009-01-01T23:59:59.000Z

    The aim of this work is to extend the capital growth theory developed by Kelly, Breiman, Cover and others to asset market models with transaction costs. We define a natural generalization of the notion of a numeraire portfolio proposed by Long and show how such portfolios can be used for constructing growth-optimal investment strategies. The analysis is based on the classical von Neumann-Gale model of economic dynamics, a stochastic version of which we use as a framework for the modelling of financial markets with frictions.

  9. Combustion Models in Finance

    E-Print Network [OSTI]

    C. Tannous; A. Fessant

    2001-01-07T23:59:59.000Z

    Combustion reaction kinetics models are used for the description of a special class of bursty Financial Time Series. The small number of parameters they depend upon enable financial analysts to predict the time as well as the magnitude of the jump of the value of the portfolio. Several Financial Time Series are analysed within this framework and applications are given.

  10. Essays on Bank Optimal Portfolio Choice under Liquidity Constraint

    E-Print Network [OSTI]

    Kim, Eul Jin

    2012-10-19T23:59:59.000Z

    portfolio choices under liquidity constraints. Our theory predicts that liquidation plays an important role in a bank's portfolio model. Even though liquidation is an off-equilibrium phenomenon, banks can have rich loan portfolios due to the possibility...

  11. APOLLO is a software application--designed in conjunction with analysts--that enables the analyst

    E-Print Network [OSTI]

    Valtorta, Marco

    Abstract APOLLO is a software application--designed in conjunction with analysts--that enables--the predictive model, after which the APOLLO software recom- putes the probabilities and alerts others when for the team working the problem. In addition, APOLLO captures an auditable history of the team's thought proc

  12. Tactical Portfolio Construction

    E-Print Network [OSTI]

    Chen, Yue

    2012-01-01T23:59:59.000Z

    Chapter 2 Portfolio Construction Data source In thisTactical Portfolio Construction A thesis submitted inTHESIS Tactical Portfolio Construction by Yue Chen Master of

  13. FRA-MOWGS2MKT-049 Quantitative (Credit) Portfolio Management

    E-Print Network [OSTI]

    Fulmek, Markus

    FRA-MOWGS2MKT-049 Quantitative (Credit) Portfolio Management Topics in Banking and Finance 24 Mai Concepts of (Credit) Portfolio Management 2. Definition of Risk Appetite 3. Portfolio Optimization Contents management models Passive Defensive Reactive Active Traditional banking Portfolio modelling & analysis Ex

  14. Analyst

    E-Print Network [OSTI]

    2013-07-25T23:59:59.000Z

    Jun 20, 2013 ... produced using multivariate curve resolution (MCR) to pre-process mixture training spectra, thus .... Full spectral measurements, used as input training spectra .... output by the photon counting photodiode module (Perki-.

  15. Optimization of a petroleum producing assets portfolio: development of an advanced computer model

    E-Print Network [OSTI]

    Aibassov, Gizatulla

    2009-05-15T23:59:59.000Z

    Portfolios of contemporary integrated petroleum companies consist of a few dozen Exploration and Production (E&P) projects that are usually spread all over the world. Therefore, it is important not only to manage individual projects by themselves...

  16. Risk Analyst Workbench Design and Architecture CREATE REPORT

    E-Print Network [OSTI]

    Wang, Hai

    and analysis capabilities for the risk analysis and decision analysis steps of the CREATE Terrorism Modeling-0112 August 31, 2005 Center for Risk and Economic Analysis of Terrorism Events University of Southern/2/2006 Executive Summary The CREATE Risk Analyst Workbench (RAW) is a software tool that provides modeling

  17. Management and Program Analyst (Operations Manager)

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a Management and Program Analyst in the Office of Strategic Programs in the DOE-EERE.

  18. Introduction Computational Efficiency Electricity Portfolio Planning Electricity Portfolios

    E-Print Network [OSTI]

    Introduction Computational Efficiency Electricity Portfolio Planning Electricity Portfolios 2009/11/30­12/01 István Maros Electricity Portfolio #12;Introduction Computational Efficiency Electricity Portfolio Outline 1 Introduction 2 Computational Efficiency 3 Electricity Portfolio Approximate

  19. A Micro-foundations Model of Dollarization with Network Externalities and Portfolio Choice: The

    E-Print Network [OSTI]

    : The Case of Bolivia¤ John T. Cuddington, Rose Mary R. Garcia, and Daniel M. Westbrook Georgetown University-in°ationary Bolivia and Peru to be well explained by standard `portfolio balance' variables. The primary aim patterns in Bolivia. ¤ This paper closely resembles Chapter 5 of Rose Mary Garcia's Ph.D. dissertation

  20. Systems Portfolio Guide A Resource For Creating Your Systems Portfolio

    E-Print Network [OSTI]

    Amin, S. Massoud

    Systems Portfolio Guide A Resource For Creating Your Systems Portfolio Academic Quality Improvement Program Contents The Systems Portfolio........................................................................................................... 9 Using the Systems Portfolio to document the Criteria for Accreditation

  1. Portfolio Manager Overview

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

    Portfolio Manager 3 | TAP Webcast eere.energy.gov What is Portfolio Manager? Free, web-based tool for benchmarking existing buildings Measure and track the energy use of...

  2. Prepared by Ryan T. Kennelly, Economic Analyst

    E-Print Network [OSTI]

    Hemmers, Oliver

    Prepared by Ryan T. Kennelly, Economic Analyst Center for Business and Economic Research Lee Business School University of Nevada, Las Vegas October 2012 #12;The Center for Business and Economic new economic indexes for the metropolitan area of Las Vegas, Nevada. We first construct a coincident

  3. Optimisation of physical and financial power purchase portfolios

    E-Print Network [OSTI]

    2003-03-10T23:59:59.000Z

    protect a power purchase portfolio against market risks. Facing this question, a multicriterial linear stochastic optimisation model has been developed. It is based

  4. Renewable Portfolio Standard

    Broader source: Energy.gov [DOE]

    In 2007, Minnesota legislation modified the state's existing non-mandated renewable energy objective, creating a mandatory renewable portfolio standard (RPS) called the Renewable Energy Standard ...

  5. Columbia- Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    In November 2004, voters in Columbia, Missouri approved a proposal to adopt a local renewables portfolio standard (RPS).* The initiative requires the city's municipal utility, Columbia Water and...

  6. Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    Maine's original Renewable Resource Portfolio Requirement was passed as part of the state's 1997 electric-utility restructuring law. In 1999, Maine's Public Utility Commission (PUC) adopted rules...

  7. How Analysts Cognitively “Connect the Dots”

    SciTech Connect (OSTI)

    Bradel, Lauren; Self, Jessica S.; Endert, Alexander; Hossain, Shahriar M.; North, Chris; Ramakrishnan, Naren

    2013-06-04T23:59:59.000Z

    As analysts attempt to make sense of a collection of documents, such as intelligence analysis reports, they may wish to “connect the dots” between pieces of information that may initially seem unrelated. This process of synthesizing information between information requires users to make connections between pairs of documents, creating a conceptual story. We conducted a user study to analyze the process by which users connect pairs of documents and how they spatially arrange information. Users created conceptual stories that connected the dots using organizational strategies that ranged in complexity. We propose taxonomies for cognitive connections and physical structures used when trying to “connect the dots” between two documents. We compared the user-created stories with a data-mining algorithm that constructs chains of documents using co-occurrence metrics. Using the insight gained into the storytelling process, we offer design considerations for the existing data mining algorithm and corresponding tools to combine the power of data mining and the complex cognitive processing of analysts.

  8. Budget Analyst - Work for Others (WFO) | Princeton Plasma Physics...

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

    Budget Analyst - Work for Others (WFO) Department: Business Operations Staff: AM1 Requisition Number: 150060 PPPL submits proposal to, and receives funding from, sponsors in...

  9. Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    In January 2005, the District of Columbia Council enacted a renewable portfolio standard (RPS) that applies to all retail electricity sales in the District. In October 2008 the RPS was amended by...

  10. Clean Energy Portfolio Goal

    Broader source: Energy.gov [DOE]

    In May 2011, Indiana enacted SB 251, creating the Clean Energy Portfolio Standard (CPS). The program sets a voluntary goal of 10% clean energy by 2025, based on the amount of electricity supplied...

  11. Quadrennial Technology Review Workshop Portfolios | Department...

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

    Review Workshop Portfolios Quadrennial Technology Review Workshop Portfolios Department of Energy Quadrennial Technology Review Building & Industrial Efficiency Workshop...

  12. Materials Analyst -Federal-Mogul Corporation -Skokie Plant The Material Analyst is responsible for procuring materials to support the manufacturing

    E-Print Network [OSTI]

    Heller, Barbara

    Materials Analyst - Federal-Mogul Corporation - Skokie Plant The Material Analyst is responsible for procuring materials to support the manufacturing function by maintaining raw material levels that ensure and utilize inventory system to analyze material requirements to ensure proper inventory levels. 2. Place

  13. ENERGY STAR Portfolio Manager 101

    Office of Energy Efficiency and Renewable Energy (EERE)

    Join us as we introduce and demonstrate the core functionality of EPA’s ENERGY STAR Portfolio Manager tool. Attendees will learn how to: navigate Portfolio Manager; add a property and enter details...

  14. Robust Growth-Optimal Portfolios

    E-Print Network [OSTI]

    2015-04-13T23:59:59.000Z

    Modern portfolio theory based ...... Optimal gambling systems for favourable games. ... International Symposium on Computer Aided Control Systems Design.

  15. ITP Nanomanufacturing: Nanomanufacturing Portfolio: Manufacturing...

    Energy Savers [EERE]

    ITP Nanomanufacturing: Nanomanufacturing Portfolio: Manufacturing Processes and Applications to Accelerate Commercial Use of Nanomaterials, January 2011 ITP Nanomanufacturing:...

  16. Short-sellers and Analysts as Providers of Complementary Information about Future Firm Performance

    E-Print Network [OSTI]

    Drake, Michael S.

    2010-07-14T23:59:59.000Z

    -American Research Team have more accurate earnings forecasts relative to other analysts. Mikhail et al. (1999) find that analysts with less accurate forecasts are more likely to change brokerage houses, which they label ?turnover.? They assume that 17... turnover of poorer-performing analysts is primarily dominated by terminations, rather than by the analysts seeking a better job. Hong et al. (2000) extend the analyses of Mikhail et al. (1999) by assuming that an analyst is terminated only if the analyst...

  17. ACHIEVING CALIFORNIA'S 33 PERCENT RENEWABLE PORTFOLIO

    E-Print Network [OSTI]

    affect estimated overall costs and risks associated with alternate portfolios of generating resources........................................................................................................ 1 Chapter 2: Using the Capital asset pricing model approach to estimate the market price referent ...... system costs and, importantly, examine cost/risk interrelationships associated with this mandate

  18. INCENTIVES FOR ACCURACY IN ANALYST RESEARCH Patricia CRIFO

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and ethical concerns. The recent scandals in Wall Street research that followed the bursting of the dot-com bubble has led to an examination of the perverse role of analysts incentives in providing biased research

  19. Dispersion in analysts' forecasts: does it make a difference? 

    E-Print Network [OSTI]

    Adut, Davit

    2004-09-30T23:59:59.000Z

    Financial analysts are an important group of information intermediaries in the capital markets. Their reports, including both earnings forecasts and stock recommendations, are widely transmitted and have a significant impact on stock prices (Womack...

  20. An Analyst's Assistant for the Interpretation of Vehicle Track Data

    E-Print Network [OSTI]

    Borchardt, Gary

    2014-10-08T23:59:59.000Z

    This report describes the Analyst's Assistant, a software system for language-interactive, collaborative user-system interpretation of events, specifically targeting vehicle events that can be recognized on the basis of ...

  1. Dispersion in analysts' forecasts: does it make a difference?

    E-Print Network [OSTI]

    Adut, Davit

    2004-09-30T23:59:59.000Z

    Financial analysts are an important group of information intermediaries in the capital markets. Their reports, including both earnings forecasts and stock recommendations, are widely transmitted and have a significant impact on stock prices (Womack...

  2. Causal Network Methods for Integrated Project Portfolio Risk Analysis

    E-Print Network [OSTI]

    Govan, Paul

    2014-08-06T23:59:59.000Z

    Corporate portfolio risk analysis is of primary concern for many organizations, as the success of strategic objectives greatly depends on an accurate risk assessment. Current risk analysis methods typically involve statistical models of risk...

  3. Finance 360 Section 001 (11312) Applied Portfolio Management

    E-Print Network [OSTI]

    Young, Paul Thomas

    valuation methods portfolio theory equity, debt, derivatives and real asset trading portfolio creation

  4. Alternative Energy Portfolio Standard | Department of Energy

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

    Portfolio Standard Provider Pennsylvania Public Utility Commission Pennsylvania's Alternative Energy Portfolio Standard (AEPS), created by S.B. 1030 on November 30, 2004,...

  5. Grand Challenge Portfolio: Driving Innovations in Industrial...

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

    Documents & Publications Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011 - pg 8 Grand Challenge Portfolio: Driving Innovations in...

  6. Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach

    E-Print Network [OSTI]

    Tunc, Sait

    2012-01-01T23:59:59.000Z

    We study optimal investment in a financial market having a finite number of assets from a signal processing perspective. We investigate how an investor should distribute capital over these assets and when he should reallocate the distribution of the funds over these assets to maximize the cumulative wealth over any investment period. In particular, we introduce a portfolio selection algorithm that maximizes the expected cumulative wealth in i.i.d. two-asset discrete-time markets where the market levies proportional transaction costs in buying and selling stocks. We achieve this using "threshold rebalanced portfolios", where trading occurs only if the portfolio breaches certain thresholds. Under the assumption that the relative price sequences have log-normal distribution from the Black-Scholes model, we evaluate the expected wealth under proportional transaction costs and find the threshold rebalanced portfolio that achieves the maximal expected cumulative wealth over any investment period. Our derivations ca...

  7. Research Portfolio Map

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronic Public Reading Room Electronic PublicResearch Portfolio

  8. Business Management Analyst Business Manager Director of Communication Contracts Manager

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    · Business Management Analyst · Business Manager · Director of Communication · Contracts Manager of Sales · President/Owner · Instructor of Business · Senior Buyer · North American Sales Manager · Talent graduation. You will have the skills & knowledge to manage and grow a successful business. You will be able

  9. Supply Chain Planning Analyst 4 Optical Components /RF Products

    E-Print Network [OSTI]

    Heller, Barbara

    information to the suppliers on a regular basis and foster business relationships to enable key suppliers. The SCPA will communicate, on a regular basis, supplier performance metrics (cost, schedule, technical, etc. The selected analyst will oversee the management of suppliers within the respective technology; identify

  10. 2014 SunShot Initiative Portfolio Book: Tackling Challenges in...

    Energy Savers [EERE]

    & Publications Download the SunShot Initiative 2014 Portfolio 2014 SunShot Initiative Portfolio Book: Photovoltaics 2014 SunShot Initiative Portfolio Book: Systems Integration...

  11. Diversifying Project Portfolios for Utility Energy Service Contracts...

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

    Diversifying Project Portfolios for Utility Energy Service Contracts Diversifying Project Portfolios for Utility Energy Service Contracts Building a diversified project portfolio...

  12. Earnings Management Pressure on Audit Clients: Auditor Response to Analyst Forecast Signals 

    E-Print Network [OSTI]

    Newton, Nathan J.

    2013-06-26T23:59:59.000Z

    of the auditor affects 3 analyst forecast characteristics (Behn et al. 2008), or how the presence of an analyst following affects auditor decisions (Keune and Johnstone 2012). However, these studies do not specifically examine how auditors use information...

  13. Earnings Management Pressure on Audit Clients: Auditor Response to Analyst Forecast Signals

    E-Print Network [OSTI]

    Newton, Nathan J.

    2013-06-26T23:59:59.000Z

    This study investigates whether auditors respond to earnings management pressure created by analyst forecasts. Analyst forecasts create an important earnings target for management, and professional standards direct auditors to consider how...

  14. Consistency of robust portfolio estimators

    E-Print Network [OSTI]

    2006-10-19T23:59:59.000Z

    Oct 6, 2006 ... The effect was made visible by examining stability of portfolio .... where W(Z, q) denotes the Wishart distribution with scale matrix Z ? Rn×n.

  15. Resource portfolio management: bundling process

    E-Print Network [OSTI]

    Worthington, William John

    2009-05-15T23:59:59.000Z

    Managers within firms seek to align their portfolio of capabilities to best respond to their competitive environment. Processes used by firms to acquire resources, bundle those resources into capabilities, and then leverage those capabilities...

  16. ENERGY STAR Portfolio Manager 201

    Office of Energy Efficiency and Renewable Energy (EERE)

    Continue to learn about EPA’s new ENERGY STAR Portfolio Manager tool, with a deeper dive into more advanced functionalities such as: managing and tracking changes to your property uses over time;...

  17. Guam- Renewable Energy Portfolio Goal

    Broader source: Energy.gov [DOE]

    Guam Bill 166, enacted in March 2008, established a renewable energy portfolio goal of 25% renewable energy by 2035.* Under this law, each utility that sells electricity for consumption on Guam...

  18. Fragility of CVaR in portfolio optimization

    E-Print Network [OSTI]

    Lim, A.E.B.; Shanthikumar, J.G.; Vahn, G.-Y.

    2009-01-01T23:59:59.000Z

    of CVar in portfolio optimization A.E.B. Lim, UC Berkeleyof CVaR in portfolio optimization A . E . B . Lim* J.G.data-driven portfolio optimization. We show that portfolios

  19. This is MoFo. Scientific/Technical Patent Analysts/Agents

    E-Print Network [OSTI]

    Straight, Aaron

    This is MoFo. Scientific/Technical Patent Analysts/Agents (Los Angeles, CA; McLean, VA; Palo Alto level patent analysts/agents for our Los Angeles, Palo Alto, San Diego and San Francisco offices of business strategies. Patent analysts/agents participate in domestic and foreign patent prosecution

  20. Combining a Renewable Portfolio Standard with a Cap-and-Trade Policy: A General Equilibrium Analysis

    E-Print Network [OSTI]

    renewable sources such as wind, solar, and biomass. I use a computable general equilibrium (CGE) modelCombining a Renewable Portfolio Standard with a Cap-and-Trade Policy: A General Equilibrium, Technology and Policy Program #12;#12;3 Combining a Renewable Portfolio Standard with a Cap-and-Trade Policy

  1. EPA ENERGY STAR Webcast- Portfolio Manager 101

    Office of Energy Efficiency and Renewable Energy (EERE)

    Join us as we introduce and demonstrate the core functionality of EPA’s new ENERGY STAR Portfolio Manager tool. Attendees will learn how to: navigate the new Portfolio Manager; add a property and...

  2. ENERGY STAR Webinar: Portfolio Manager 101

    Office of Energy Efficiency and Renewable Energy (EERE)

    Join us as we introduce and demonstrate the core functionality of EPA’s new ENERGY STAR Portfolio Manager tool. Attendees will learn how to: navigate the new Portfolio Manager; add a property and...

  3. Some Problems in Stochastic Portfolio Theory

    E-Print Network [OSTI]

    Liu, Xiaobo

    2007-12-11T23:59:59.000Z

    We consider some problems in the stochastic portfolio theory of equity markets. In the first part, we maximize the expected terminal value of a portfolio of equities. The optimal investment problem is then solved by the stochastic control approach...

  4. Optimization Online - Multistage Stochastic Portfolio Optimisation in ...

    E-Print Network [OSTI]

    Paula Rocha

    2010-06-04T23:59:59.000Z

    Jun 4, 2010 ... Multistage Stochastic Portfolio Optimisation in Deregulated Electricity Markets Using Linear Decision Rules. Paula Rocha ...

  5. Text Classification for Intelligent Portfolio Management

    E-Print Network [OSTI]

    , earnings summaries, and Beta value (risk) associated with the individual holdings in their stock portfolioText Classification for Intelligent Portfolio Management Young-Woo Seo Joseph Giampapa Katia Sycara management, software agents that eval- uate the risks associated with the individual companies of a portfolio

  6. Portfolio Selection under Model Uncertainty:

    E-Print Network [OSTI]

    2011-06-29T23:59:59.000Z

    Roy H. Kwon ..... in the set Q. In such cases, it is reasonable to treat the measure P as a reference ... and the parameter k helps to adjust the level of penalty.

  7. Regional Portfolio Model Redevelopment Update

    E-Print Network [OSTI]

    and Lost Opportunity Conservation 4. CO2 emission tracking 5. Dispatch of existing and new resources 6 futures) 11©2012 Navigant Consulting, Inc. E N E R G Y ­ Equilibrium electricity prices over time (able

  8. Combining a Renewable Portfolio Standard with a Cap-and-Trade Policy: A General Equilibrium Analysis

    E-Print Network [OSTI]

    Morris, Jennifer

    Many efforts to address greenhouse gas emissions combine a cap-and-trade system with other measures such as a renewable portfolio standard. In this paper we use a computable general equilibrium (CGE) model, the MIT Emissions ...

  9. Automatic Trading Agent. RMT based Portfolio Theory and Portfolio Selection

    E-Print Network [OSTI]

    Snarska, M; Snarska, Malgorzata; Krzych, Jakub

    2006-01-01T23:59:59.000Z

    Portfolio theory is a very powerful tool in the modern investment theory. It is helpful in estimating risk of an investor's portfolio, which arises from our lack of information, uncertainty and incomplete knowledge of reality, which forbids a perfect prediction of future price changes. Despite of many advantages this tool is not known and is not widely used among investors on Warsaw Stock Exchange. The main reason for abandoning this method is a high level of complexity and immense calculations. The aim of this paper is to introduce an automatic decision - making system, which allows a single investor to use such complex methods of Modern Portfolio Theory (MPT). The key tool in MPT is an analysis of an empirical covariance matrix. This matrix, obtained from historical data is biased by such a high amount of statistical uncertainty, that it can be seen as random. By bringing into practice the ideas of Random Matrix Theory (RMT), the noise is removed or significantly reduced, so the future risk and return are b...

  10. www.rsc.org/analyst The airliquid interface of benzene, toluene, m-xylene, and

    E-Print Network [OSTI]

    ANALYST FULLPAPER THE www.rsc.org/analyst The air­liquid interface of benzene, toluene, m as an Advance Article on the web 10th April 2003 The air­liquid interface and the liquid-phase of benzene-zero hyperpolarizabilities of benzene and 1,3,5-trimethylbenzene. The orientation of the aromatic rings of these compounds

  11. Dynamic Portfolio Optimization with Transaction Costs: Heuristics ...

    E-Print Network [OSTI]

    2011-02-03T23:59:59.000Z

    Aug 10, 2010 ... Dynamic Portfolio Optimization with Transaction. Costs: Heuristics and Dual Bounds. David B. Brown and James E. Smith?. Fuqua School of ...

  12. Robust Portfolio Optimization with Derivative Insurance Guarantees

    E-Print Network [OSTI]

    2009-01-13T23:59:59.000Z

    Jan 13, 2009 ... a portfolio consisting of a single stock and a put option by controlling ..... in the returns whilst taking into consideration that the centroid µ of ?+.

  13. Efficient Cardinality/Mean-Variance Portfolios

    E-Print Network [OSTI]

    2012-03-02T23:59:59.000Z

    Mar 2, 2012 ... security i is described by a random variable Ri, whose average can be computed ..... More information on these security sectors (or portfolios of ...

  14. Grand Challenge Portfolio: Driving Innovations in Industrial...

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

    9 Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011 - pg 9 grandchallengesportfoliopg9.pdf More Documents & Publications Grand...

  15. Grand Challenge Portfolio: Driving Innovations in Industrial...

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

    6 Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011 - pg 6 grandchallengesportfoliopg6.pdf More Documents & Publications Grand...

  16. Grand Challenge Portfolio: Driving Innovations in Industrial...

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

    8 Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011 - pg 8 grandchallengesportfoliopg8.pdf More Documents & Publications Grand...

  17. 2014 SunShot Initiative Portfolio Book: Concentrating Solar Power...

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

    Concentrating Solar Power 2014 SunShot Initiative Portfolio Book: Concentrating Solar Power The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals...

  18. Vehicle Technologies Office Merit Review 2014: VTO Analysis Portfolio...

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

    VTO Analysis Portfolio Vehicle Technologies Office Merit Review 2014: VTO Analysis Portfolio Presentation given by U.S. Department of Energy at 2014 DOE Hydrogen and Fuel Cells...

  19. Interpretive electronic music systems: a portfolio of compositions 

    E-Print Network [OSTI]

    Rawlinson, Julian Dean

    2011-11-23T23:59:59.000Z

    A portfolio of electronic music compositions employing adaptable controllers, graphic notation, and custom software performance environments. The portfolio is comprised of scores, recordings, and supporting software and ...

  20. ENERGY STAR Portfolio Manager and Utility Benchmarking Programs...

    Energy Savers [EERE]

    ENERGY STAR Portfolio Manager and Utility Benchmarking Programs: Effectiveness as a Conduit to Utility Energy Efficiency Programs ENERGY STAR Portfolio Manager and Utility...

  1. HYDROGEN EMBRITTLEMENT OF METALS: A PRIMER FOR THE FAILURE ANALYST

    SciTech Connect (OSTI)

    Louthan, M

    2008-01-31T23:59:59.000Z

    Hydrogen reduces the service life of many metallic components. Such reductions may be manifested as blisters, as a decrease in fatigue resistance, as enhanced creep, as the precipitation of a hydride phase and, most commonly, as unexpected, macroscopically brittle failure. This unexpected, brittle fracture is commonly termed hydrogen embrittlement. Frequently, hydrogen embrittlement occurs after the component has been is service for a period of time and much of the resulting fracture surface is distinctly intergranular. Many failures, particularly of high strength steels, are attributed to hydrogen embrittlement simply because the failure analyst sees intergranular fracture in a component that served adequately for a significant period of time. Unfortunately, simply determining that a failure is due to hydrogen embrittlement or some other form of hydrogen induced damage is of no particular help to the customer unless that determination is coupled with recommendations that provide pathways to avoid such damage in future applications. This paper presents qualitative and phenomenological descriptions of the hydrogen damage processes and outlines several metallurgical recommendations that may help reduce the susceptibility of a particular component or system to the various forms of hydrogen damage.

  2. Optimal Portfolio Selection Under Concave Price Impact

    SciTech Connect (OSTI)

    Ma Jin, E-mail: jinma@usc.edu [University of Southern California, Department of Mathematics (United States); Song Qingshuo, E-mail: songe.qingshuo@cityu.edu.hk [City University of Hong Kong, Department of Mathematics (Hong Kong); Xu Jing, E-mail: xujing8023@yahoo.com.cn [Chongqing University, School of Economics and Business Administration (China); Zhang Jianfeng, E-mail: jianfenz@usc.edu [University of Southern California, Department of Mathematics (United States)

    2013-06-15T23:59:59.000Z

    In this paper we study an optimal portfolio selection problem under instantaneous price impact. Based on some empirical analysis in the literature, we model such impact as a concave function of the trading size when the trading size is small. The price impact can be thought of as either a liquidity cost or a transaction cost, but the concavity nature of the cost leads to some fundamental difference from those in the existing literature. We show that the problem can be reduced to an impulse control problem, but without fixed cost, and that the value function is a viscosity solution to a special type of Quasi-Variational Inequality (QVI). We also prove directly (without using the solution to the QVI) that the optimal strategy exists and more importantly, despite the absence of a fixed cost, it is still in a 'piecewise constant' form, reflecting a more practical perspective.

  3. Post-doctoral Data Analyst University of Michigan Company Information: The University of Michigan Kidney Epidemiology and Cost Center (UM-

    E-Print Network [OSTI]

    Shepp, Larry

    Post-doctoral Data Analyst University of Michigan Company Information: The University of Michigan Kidney Epidemiology and Cost Center (UM- KECC) is an interdisciplinary research group drawing from-doctoral Data Analyst Duties & Responsibilities: We are inviting applicants to a Post-doctoral Data Analyst

  4. LAMAR DODD SCHOOL OF ART PORTFOLIO REVIEW REQUIREMENTS

    E-Print Network [OSTI]

    Arnold, Jonathan

    LAMAR DODD SCHOOL OF ART PORTFOLIO REVIEW REQUIREMENTS Summer 2014 PHASE I: Pre-review WHO floor, North wing, Lamar Dodd School of Art WHAT: The portfolio is to contain the FIVE works described and guidelines are not adhered to, the portfolio will be rejected. HOW: The Lamar Dodd School of Art Portfolio

  5. EPA ENERGY STAR Webcast- Portfolio Manager 201

    Office of Energy Efficiency and Renewable Energy (EERE)

    Continue to learn about EPA’s new ENERGY STAR Portfolio Manager tool, with a deeper dive into more advanced functionalities such as: managing and tracking changes to your property uses over time;...

  6. N. Mariana Islands- Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    The Commonwealth of the Northern Mariana Islands enacted its Renewables Portfolio Standard in September 2007, in which a certain percentage of its net electricity sales must come from renewable e...

  7. Alternative and Renewable Energy Portfolio Standard

    Broader source: Energy.gov [DOE]

    In June 2009, West Virginia enacted an ''Alternative and Renewable Energy Portfolio Standard'' that requires investor-owned utilities (IOUs)* with more than 30,000 residential customers to supply...

  8. Essays in asset pricing and portfolio choice 

    E-Print Network [OSTI]

    Illeditsch, Philipp Karl

    2009-05-15T23:59:59.000Z

    ESSAYS IN ASSET PRICING AND PORTFOLIO CHOICE A Dissertation by PHILIPP KARL ILLEDITSCH Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2007... Major Subject: Finance ESSAYS IN ASSET PRICING AND PORTFOLIO CHOICE A Dissertation by PHILIPP KARL ILLEDITSCH Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR...

  9. A New Cone Programming Approach for Robust Portfolio Selection ?

    E-Print Network [OSTI]

    2006-12-22T23:59:59.000Z

    Dec 10, 2006 ... Let us consider a discrete-time market with n traded assets. The vector of asset ...... We next report the performance of the classical portfolio and the robust portfolios corre- sponding to our ..... Utilities (Gas & Electric). EMR.

  10. Assessing and reducing product portfolio complexity in the pharmaceutical industry

    E-Print Network [OSTI]

    Leiter, Kevin M. (Kevin Michael)

    2011-01-01T23:59:59.000Z

    Overly complex product portfolios lead to inefficient use of resources and limit an organization's ability to react quickly to changing market dynamics. The challenges of reducing portfolio complexity are defining excess ...

  11. PROGRAMMER/ANALYST -COMPUTER RESOURCE SPECIALIST SUPPLEMENT EMPLOYEE_NAME

    E-Print Network [OSTI]

    Tsien, Roger Y.

    ;______________________________________________________________________ FACILITY: COMPUTER FACILITY SIZE ===> ( )VERY SMALL -- ( )SMALL -- ( )MEDIUM -- ( )LARGE ______________________________________________________________________ DESCRIBE YOUR HARDWARE ENVIRONMENT. QUANTITY --- TYPE --- VENDOR/MODEL --- COMMENTS 1. 2. LIST LANGUAGE(S): ( ) ( ) USING SCRIPTS. INDICATE SCRIPTING ENVIRONMENT: ( ) ( ) WITHIN OTHER

  12. Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation

    E-Print Network [OSTI]

    Lyon, Thomas P.

    131 Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation Thomas P. Lyon* and Haitao Yin** Renewable portfolio standards (RPSs) for electricity generation are politically popularU.S.stategovernments of Renewable Portfolio Standards (RPSs) as a policy tool for promoting renewable electricity generation. An RPS

  13. Natural gas contracts in efficient portfolios

    SciTech Connect (OSTI)

    Sutherland, R.J.

    1994-12-01T23:59:59.000Z

    This report addresses the {open_quotes}contracts portfolio{close_quotes} issue of natural gas contracts in support of the Domestic Natural Gas and Oil Initiative (DGOI) published by the U.S. Department of Energy in 1994. The analysis is a result of a collaborative effort with the Public Service Commission of the State of Maryland to consider {open_quotes}reforms that enhance the industry`s competitiveness{close_quotes}. The initial focus of our collaborative effort was on gas purchasing and contract portfolios; however, it became apparent that efficient contracting to purchase and use gas requires a broader consideration of regulatory reform. Efficient portfolios are obtained when the holder of the portfolio is affected by and is responsible for the performance of the portfolio. Natural gas distribution companies may prefer a diversity of contracts, but the efficient use of gas requires that the local distribution company be held accountable for its own purchases. Ultimate customers are affected by their own portfolios, which they manage efficiently by making their own choices. The objectives of the DGOI, particularly the efficient use of gas, can be achieved when customers have access to suppliers of gas and energy services under an improved regulatory framework. The evolution of the natural gas market during the last 15 years is described to account for the changing preferences toward gas contracts. Long-term contracts for natural gas were prevalent before the early 1980s, primarily because gas producers had few options other than to sell to a single pipeline company, and this pipeline company, in turn, was the only seller to a gas distribution company.

  14. See More Jobs From Agrium Wholesale Truck Analyst (175535-001) -(Calgary, Alberta, Western Canada, Canada)

    E-Print Network [OSTI]

    Behmer, Spencer T.

    See More Jobs From Agrium Wholesale Truck Analyst (175535-001) - (Calgary, Alberta, Western Canada, Canada) Company: Agrium Wholesale Apply below Industry Sector: Agribusiness Industry Type: Agronomy a growing world. Growth is a top priority for Agrium Wholesale and it doesn't just apply to the nutrients we

  15. Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?

    E-Print Network [OSTI]

    Dekhtyar, Alexander

    software engineer or analyst to make decisions or judgments based on the output of an automated tool. For example, a software architect may examine the outputs of a cost benefit analysis tool to decide on a particular architecture; a project manager may examine the output of a risk assessment tool to determine what

  16. EPA ENERGY STAR Webcast- Portfolio Manager® Office Hours, Focus Topic: Portfolio Manager 2015 Priorities

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. We will plan to spend the first 20-30 minutes of each...

  17. A Simulation Approach to Dynamic Portfolio Choice with an Application to Learning

    E-Print Network [OSTI]

    Stroud, Jonathan

    A Simulation Approach to Dynamic Portfolio Choice with an Application to Learning About Return 2000 This Draft: December 2003 Abstract We present a simulation-based method for solving discrete, parameter and model uncertainty, and learning. We first establish the properties of the method

  18. DYNAMIC RISK MANAGEMENT IN ELECTRICITY PORTFOLIO OPTIMIZATION

    E-Print Network [OSTI]

    Eichhorn, Andreas

    DYNAMIC RISK MANAGEMENT IN ELECTRICITY PORTFOLIO OPTIMIZATION VIA POLYHEDRAL RISK FUNCTIONALS the dynamic decision structure appropriately. In energy risk management, which is typically carried out ex, for integrating risk management into a stochastic optimization framework, risk has to be quantified in a definite

  19. Multiperiod Portfolio Optimization with General Transaction Costs

    E-Print Network [OSTI]

    2013-07-17T23:59:59.000Z

    Department of Management Science and Operations, London Business School, ... For market impact costs, we show that the optimal portfolio policy at each ... Markowitz's analysis are that the investor only cares about single-period ... The case with a single-risky asset and proportional transaction costs is well understood.

  20. Essays in asset pricing and portfolio choice

    E-Print Network [OSTI]

    Illeditsch, Philipp Karl

    2009-05-15T23:59:59.000Z

    In the ?rst essay, I decompose in?ation risk into (i) a part that is correlated with real returns on the market portfolio and factors that determine investor’s preferences and investment opportunities and (ii) a residual part. I show that only...

  1. Annual Report: EPAct Complementary Program's Ultra-Deepwater R&D Portfolio and Unconventional Resources R&D Portfolio (30 September 2012)

    SciTech Connect (OSTI)

    none,; Rose, Kelly [NETL] [NETL; Hakala, Alexandra [NETL] [NETL; Guthrie, George [NETL] [NETL

    2012-09-30T23:59:59.000Z

    This report summarizes FY13 research activities performed by the National Energy Technology Laboratory (NETL), Office of Research and Development (ORD), along with its partners in the Regional University Alliance (RUA) to fulfill research needs under the Energy Policy Act of 2005 (EPAct) Section 999?s Complementary Program. Title IX, Subtitle J, Section 999A(d) of EPAct 2005 authorizes $50 million per year of federal oil and gas royalties, rents and bonus payments for an oil and natural gas research and development effort, the Ultra-Deepwater and Unconventional Natural Gas and Other Petroleum Resources Research Program. Section 999 further prescribes four program elements for the effort, one of which is the Complementary Research Program that is to be performed by NETL. This document lays out the plan for the research portfolio for the Complementary Research Program, with an emphasis on the 2013 funding. The Complementary Program consists of two research portfolios focused on domestic resources: (1) the Deepwater and Ultra-Deepwater Portfolio (UDW) (focused on hydrocarbons in reservoirs in extreme environments) and (2) the Unconventional Resources Portfolio (UCR) (focused on hydrocarbons in shale reservoirs). These two portfolios address the science base that enables these domestic resources to be produced responsibly, informing both regulators and operators. NETL is relying on a core Department of Energy-National Energy Technology Laboratory (DOE-NETL) competency in engineered-natural systems to develop this science base, allowing leveraging of decades of investment. NETL?s Complementary Research Program research portfolios support the development of unbiased research and information for policymakers and the public, performing rapid predictions of possible outcomes associated with unexpected events, and carrying out quantitative assessments for energy policy stakeholders that accurately integrate the risks of safety and environmental impacts. The objective of this body of work is to build the scientific understanding and assessment tools necessary to develop the confidence that key domestic oil and gas resources can be produced safely and in an environmentally sustainable way. For the Deepwater and Ultra-Deepwater Portfolio, the general objective is to develop a scientific base for predicting and quantifying potential risks associated with exploration and production in extreme offshore environments. This includes: (1) using experimental studies to improve understanding of key parameters (e.g., properties and behavior of materials) tied to loss-of-control events in deepwater settings, (2) compiling data on spatial variability for key properties used to characterize and simulate the natural and engineered components involved in extreme offshore settings, and (3) utilizing findings from (1) and (2) in conjunction with integrated assessment models to model worst-case scenarios, as well as assessments of most likely scenarios relative to potential risks associated with flow assurance and loss of control. This portfolio and approach is responsive to key Federal-scale initiatives including the Ocean Energy Safety Advisory Committee (OESC). In particular, the findings and recommendations of the OESC?s Spill Prevention Subcommittee are addressed by aspects of the Complementary Program research. The Deepwater and Ultra-Deepwater Portfolio is also aligned with some of the goals of the United States- Department of the Interior (US-DOI) led Alaska Interagency Working Group (AIWG) which brings together state, federal, and tribal government personnel in relation to energy-related issues and needs in the Alaskan Arctic. For the Unconventional Fossil Resources Portfolio, the general objective is to develop a sufficient scientific base for predicting and quantifying potential risks associated with the oil/gas resources in shale reservoirs that require hydraulic fracturing and/or other engineering measures to produce. The major areas of focus include: (1) improving predictions of fugitive methane and greenhouse gas emissions, (2) pr

  2. Storing and managing information artifacts collected by information analysts using a computing device

    DOE Patents [OSTI]

    Pike, William A; Riensche, Roderick M; Best, Daniel M; Roberts, Ian E; Whyatt, Marie V; Hart, Michelle L; Carr, Norman J; Thomas, James J

    2012-09-18T23:59:59.000Z

    Systems and computer-implemented processes for storage and management of information artifacts collected by information analysts using a computing device. The processes and systems can capture a sequence of interactive operation elements that are performed by the information analyst, who is collecting an information artifact from at least one of the plurality of software applications. The information artifact can then be stored together with the interactive operation elements as a snippet on a memory device, which is operably connected to the processor. The snippet comprises a view from an analysis application, data contained in the view, and the sequence of interactive operation elements stored as a provenance representation comprising operation element class, timestamp, and data object attributes for each interactive operation element in the sequence.

  3. Program Analyst

    Broader source: Energy.gov [DOE]

    The Office of Management, Office of Acquisition and Project Management (APM) develops and directs implementation of policies and procedures governing the Department's construction and environmental...

  4. Management Analyst

    Broader source: Energy.gov [DOE]

    The Wind and Water Power Technologies Office (WWPTO) manages efforts to improve performance, lower costs, and accelerate deployment of wind and water power technologies, which can play a...

  5. Portfolio Resampling on Various Financial Models

    E-Print Network [OSTI]

    Chen, Yu-Ching Eugene

    2013-01-01T23:59:59.000Z

    the six approaches, theReturns Markowitz SIM_SS SIM_NSS CCM_SS CCM_NSS MGM_SS Equal S&P500 Index Figure 3.2: Performanceof returns, M arkowitz > CCM SS ? SIM N SS > M GM > SIM SS >

  6. Portfolio Risk Modeling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska: EnergyPiratiniEdwards, Wisconsin:Porter County,Porter-CologneRisk

  7. A framework for the architecting of aerospace systems portfolios with commonality

    E-Print Network [OSTI]

    Hofstetter, Wilfried Konstantin

    2009-01-01T23:59:59.000Z

    (cont.) The framework was applied to three case studies: commonality analysis for a portfolio of future and legacy exploration life support systems, for the historical Saturn launch vehicle portfolio, and for a portfolio ...

  8. GTO Project Portfolio | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,StatementFinancing SolutionsFossilCommunitiesGTO Project Portfolio

  9. Energy Portfolio Standards and the Promotion of Combined Heat...

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

    2009 U.S. Environmental Protection Agency (EPA) Combined Heat and Power (CHP) Partnership paper covers Energy Portfolio Standards (EPS) which are becoming a widely applied method...

  10. Small Buildings and Small Portfolios Overview - 2014 BTO Peer...

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

    Technologies Office's Small Buildings and Small Portfolios activities. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs....

  11. Barriers to CHP with Renewable Portfolio Standards, Draft White...

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

    development of state renewable portfolio standards (RPS) has helped spur the growth of renewable energy projects, including solar, wind, and biomass power. This report aims to...

  12. Consistency of robust optimization with application to portfolio ...

    E-Print Network [OSTI]

    Megiddo

    2010-09-26T23:59:59.000Z

    very general portfolio and risk constraints. Further, consistency will also carry ...... Quantitative Analysis, 42(3):621–656, 2007. [21] A. Kirsch. An Introduction to ...

  13. Optimisation of physical and financial power purchase portfolios

    E-Print Network [OSTI]

    Gorden Spangardt

    2002-10-18T23:59:59.000Z

    Oct 18, 2002 ... Optimisation of physical and financial power purchase portfolios. Gorden Spangardt (spa ***at*** umsicht.fhg.de) Michael Lucht (luc ***at*** ...

  14. NASA's Composite Portfolio: Department of Energy Workshop Fiber...

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

    NASA 's Composites Portfolio Department of Energy Workshop Fiber Reinforced Polymer Composites Manufacturing Presented by: John Vickers January 13, 2014 www.nasa.gov...

  15. The Federal Guiding Principles Checklist in ENERGY STAR Portfolio

    Office of Energy Efficiency and Renewable Energy (EERE)

    This webcast will teach Federal energy and sustainability professionals how to use the ENERGY STAR measurement and tracking tool, Portfolio Manager, to help ensure compliance with the Guiding...

  16. ENDOWING CITIZENS WITH A PORTFOLIO OF STATE-SPONSORED ENTERPRISES FOR EFFICIENT AND EQUITABLE PRIVATIZATION

    E-Print Network [OSTI]

    Hartnett, William

    2003-03-28T23:59:59.000Z

    This paper discusses a portfolio endowment policy as an alternative to conventional privatization policies. The portfolio endowment policy endows each citizen with a ...

  17. 2011 CHP/Industrial Distributed Energy R&D Portfolio Review ...

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

    1 CHPIndustrial Distributed Energy R&D Portfolio Review - Summary Report 2011 CHPIndustrial Distributed Energy R&D Portfolio Review - Summary Report Summary report of the 2011...

  18. 2011 CHP/Industrial Distributed Energy R&D Portfolio Review ...

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

    11 CHPIndustrial Distributed Energy R&D Portfolio Review - Agenda 2011 CHPIndustrial Distributed Energy R&D Portfolio Review - Agenda Agenda for the CHP Industrial Distributed...

  19. Evaluating a Proposed 20% National Renewable Portfolio Standard

    SciTech Connect (OSTI)

    Logan, J.; Sullivan, P.; Short, W.; Bird, L.; James, T. L.; Shah, M. R.

    2009-02-01T23:59:59.000Z

    This paper provides a preliminary analysis of the impacts of a proposed 20% national renewable portfolio standard (RPS) by 2021, which has been advanced in the U.S. Congress by Senator Jeff Bingaman of New Mexico. The paper was prepared before the America Recovery and Reinvestment Act was signed into law by President Barack Obama on February 17, 2009, and thus does not consider important changes in renewable energy (RE) policy that need to be addressed in follow-on analysis. We use NREL's Regional Energy Deployment System (ReEDS) model to evaluate the impacts of the RPS requirements on the energy sector and consider design issues associated with renewable energy certificate (REC) trading markets.

  20. 851 S.W. Sixth Avenue, Suite 1100 Steve Crow 503-222-5161 Portland, Oregon 97204-1348 Executive Director 800-452-5161

    E-Print Network [OSTI]

    Schilmoeller Power Planning Analyst SUBJECT: Introduction to the Regional Portfolio Model My August Portfolio ModelPortfolio Model (Continued)(Continued) Michael Schilmoeller Power Committee Presentation price Carbon allowance cost Production tax credits Renewable Energy Credit (Green tag value) Sixth Power

  1. Wind Farm Portfolio Optimization under Network Capacity Constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Wind Farm Portfolio Optimization under Network Capacity Constraints H´el`ene Le Cadre, Anthony of wind farms in a Market Coupling organization, for two Market Designs (exogenous prices and endogenous of efficient wind farm portfolios, is derived theoretically as a function of the number of wind farms

  2. Operation and Configuration of a Storage Portfolio via Convex Optimization

    E-Print Network [OSTI]

    is equally broad, and includes pumped hydro, compressed air energy storage (CAES), battery energy storage sys type and size of battery is sub- sequently picked as the (single device) storage portfolio. HoweverOperation and Configuration of a Storage Portfolio via Convex Optimization Matt Kraning, Yang Wang

  3. The Potential Economic Impacts of a Renewable Portfolio Standard

    E-Print Network [OSTI]

    Delaware, University of

    , hydropower, and biomass) according to a specified schedule. Many states are prioritizing renewable energyThe Potential Economic Impacts of a Renewable Portfolio Standard in Delaware Briefing Paper of Figures Figure 1. State Renewable Portfolio Standards in the U.S. ..................... 1 Figure 2. Retail

  4. advanced materials portfolio: Topics by E-print Network

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

    materials portfolio First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Portfolio evaluation of advanced...

  5. Recharging U.S. Energy Policy: Advocating for a National Renewable Portfolio Standard

    E-Print Network [OSTI]

    Lunt, Robin J.

    2007-01-01T23:59:59.000Z

    global warming problems that accompany traditional electricitytheir electricity portfolio so as to prevent global warming,

  6. Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager

    Broader source: Energy.gov [DOE]

    Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager Webinar.

  7. State Clean Energy Practices: Renewable Portfolio Standards

    SciTech Connect (OSTI)

    Hurlbut, D.

    2008-07-01T23:59:59.000Z

    The State Clean Energy Policies Analysis (SCEPA) project is supported by the Weatherization and Intergovernmental Program within the Department of Energy's Office of Energy Efficiency and Renewable Energy. This project seeks to quantify the impacts of existing state policies, and to identify crucial policy attributes and their potential applicability to other states. The goal is to assist states in determining which clean energy policies or policy portfolios will best accomplish their environmental, economic, and security goals. For example, a renewable portfolio standard (RPS) mandates an increase in the use of wind, solar, biomass, and other alternatives to fossil and nuclear electric generation. This paper provides a summary of the policy objectives that commonly drive the establishment of an RPS, the key issues that states have encountered in implementing an RPS, and the strategies that some of the leading states have followed to address implementation challenges. The factors that help an RPS function best generally have been explored in other analyses. This study complements others by comparing empirical outcomes, and identifying the policies that appear to have the greatest impact on results.

  8. Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over the Last Decade

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the dynamic relationship between oil price variations and stock markets. The pioneering paper by Jones model with GARCH effects to American monthly data and shows a significant relationship between oil priceOil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over

  9. Analyst Tools and Quality Control Software for the ARM Data System

    SciTech Connect (OSTI)

    Moore, S.T.

    2004-12-14T23:59:59.000Z

    ATK Mission Research develops analyst tools and automated quality control software in order to assist the Atmospheric Radiation Measurement (ARM) Data Quality Office with their data inspection tasks. We have developed a web-based data analysis and visualization tool, called NCVweb, that allows for easy viewing of ARM NetCDF files. NCVweb, along with our library of sharable Interactive Data Language procedures and functions, allows even novice ARM researchers to be productive with ARM data with only minimal effort. We also contribute to the ARM Data Quality Office by analyzing ARM data streams, developing new quality control metrics, new diagnostic plots, and integrating this information into DQ HandS - the Data Quality Health and Status web-based explorer. We have developed several ways to detect outliers in ARM data streams and have written software to run in an automated fashion to flag these outliers.

  10. MARKETING PORTFOLIO Please keep in mind that your audience for the portfolio is a prospective employer, so everything has to be

    E-Print Network [OSTI]

    de Lijser, Peter

    MARKETING PORTFOLIO DIRECTIONS AUDIENCE Please keep in mind that your audience for the portfolio is a prospective employer, so everything has to be done with that individual in mind. At a minimum you

  11. Regional Portfolio Model ResultsRegional Portfolio Model Results Michael Schilmoeller

    E-Print Network [OSTI]

    Plans on the efficient frontier Interpreting a plan Issue Studies Carbon control and climate changeChanges in Assumptions and Data CO2 penalty likelihood distribution Conservation base case New programs and re on the efficient frontier Interpreting a plan Issue Studies Carbon control and climate change The economic effects

  12. Optimization Online - Efficient Cardinality/Mean-Variance Portfolios

    E-Print Network [OSTI]

    R. P. Brito

    2012-03-03T23:59:59.000Z

    Mar 3, 2012 ... Efficient Cardinality/Mean-Variance Portfolios. R. P. Brito(rpedro.brito ***at*** gmail.com) L. N. Vicente(lnv ***at*** mat.uc.pt). Abstract: A ...

  13. Running in place : renewal portfolio standards and climate change

    E-Print Network [OSTI]

    Hogan, Michael T. (Michael Thomas)

    2008-01-01T23:59:59.000Z

    Renewable portfolio standards ("RPS") have spread widely as states have made an effort to promote electricity production from renewable energy sources, granting privileged market access to eligible technologies and resources. ...

  14. ITP Energy Intensive Processes: Energy-Intensive Processes Portfolio...

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

    teChnologIes Program IntroduCtIon the research and development (r&d) portfolio for energy-Intensive Processes (eIP) addresses the top technology opportunities to save energy...

  15. Technology Portfolio Planning by Weighted Graph Analysis of System Architectures

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Portfolio Planning by Weighted Graph Analysis of System Architectures Peter Davison and Bruce Cameron Massachusetts Institute of Technology, Cambridge, MA 02139 Edward F. Crawley Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia Abstract5 Many systems undergo significant

  16. Portfolio evaluation of advanced coal technology : research, development, and demonstration

    E-Print Network [OSTI]

    Naga-Jones, Ayaka

    2005-01-01T23:59:59.000Z

    This paper evaluates the advanced coal technology research, development and demonstration programs at the U.S. Department of Energy since the 1970s. The evaluation is conducted from a portfolio point of view and derives ...

  17. EPA ENERGY STAR Webinar: ENERGY STAR Portfolio Manager 201

    Office of Energy Efficiency and Renewable Energy (EERE)

    Continue to learn about EPA’s ENERGY STAR Portfolio Manager tool, with a deeper dive into more advanced functionalities such as: managing and tracking changes to your property uses over time; using...

  18. Use of Solar and Wind as a Physical Hedge against Price Variability within a Generation Portfolio

    SciTech Connect (OSTI)

    Jenkin, T.; Diakov, V.; Drury, E.; Bush, B.; Denholm, P.; Milford, J.; Arent, D.; Margolis, R.; Byrne, R.

    2013-08-01T23:59:59.000Z

    This study provides a framework to explore the potential use and incremental value of small- to large-scale penetration of solar and wind technologies as a physical hedge against the risk and uncertainty of electricity cost on multi-year to multi-decade timescales. Earlier studies characterizing the impacts of adding renewable energy (RE) to portfolios of electricity generators often used a levelized cost of energy or simplified net cash flow approach. In this study, we expand on previous work by demonstrating the use of an 8760 hourly production cost model (PLEXOS) to analyze the incremental impact of solar and wind penetration under a wide range of penetration scenarios for a region in the Western U.S. We do not attempt to 'optimize' the portfolio in any of these cases. Rather we consider different RE penetration scenarios, that might for example result from the implementation of a Renewable Portfolio Standard (RPS) to explore the dynamics, risk mitigation characteristics and incremental value that RE might add to the system. We also compare the use of RE to alternative mechanisms, such as the use of financial or physical supply contracts to mitigate risk and uncertainty, including consideration of their effectiveness and availability over a variety of timeframes.

  19. The development of an effective portfolio assessment instrument

    E-Print Network [OSTI]

    Alderete, Karen Leigh

    1993-01-01T23:59:59.000Z

    THE DEVELOPMENT OF AN EFFECTIVE PORTFOLIO ASSESSMENT INSTRUMENT A Thesis by KAREN LEIGH ALDERETE Submitted to the Offices of Graduate Studies of Texas AfxM University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE August 1993 Major Subject: Curriculum and Instruction THE DEVELOPMENT OF AN EFFECTIVE PORTFOLIO ASSESSMENT INSTRUMENT A Thesis by KAREN LEIGH ALDERETE Approved as to style and content by: Viola E. Florez ( Chair of Committee ) Rafael ra...

  20. Slate is a multi-faceted computational agent capable of assisting intelligence analysts with hypothesis tracking and generation, and

    E-Print Network [OSTI]

    Synopsis Slate is a multi-faceted computational agent capable of assisting intelligence analysts Development Strategy Research in psychology of human reasoning continues to drive the engineering of Slate. We system. Slate can then reason over this system. FIGURE 1: Screenshot of Slate being used to crack

  1. Analyst Tools and Quality Control Software for the ARM Data System

    SciTech Connect (OSTI)

    Moore, Sean; Hughes, Gary

    2008-07-31T23:59:59.000Z

    Mission Research develops analyst tools and automated quality control software in order to assist the Atmospheric Radiation Measurement (ARM) Data Quality Office with their data inspection tasks. We have developed web-based data analysis and visualization tools such as the interactive plotting program NCVweb, various diagnostic plot browsers, and a datastream processing status application. These tools allow even novice ARM researchers to be productive with ARM data with only minimal effort. We also contribute to the ARM Data Quality Office by analyzing ARM data streams, developing new quality control metrics, new diagnostic plots, and integrating this information into DQ HandS - the Data Quality Health and Status web-based explorer. We have developed several ways to detect outliers in ARM data streams and have written software to run in an automated fashion to flag these outliers. We have also embarked on a system to comprehensively generate long time-series plots, frequency distributions, and other relevant statistics for scientific and engineering data in most high-level, publicly available ARM data streams. Furthermore, frequency distributions categorized by month or by season are made available to help define valid data ranges specific to those time domains. These statistics can be used to set limits that when checked, will improve upon the reporting of suspicious data and the early detection of instrument malfunction. The statistics and proposed limits are stored in a database for easy reporting, refining, and for use by other processes. Web-based applications to view the results are also available.

  2. Incorporating property characteristics and capital market conditions in optimizing commercial real estate portfolios

    E-Print Network [OSTI]

    Liu, Yanjia

    2014-01-01T23:59:59.000Z

    We all know for diversification purposes we cannot "put all our eggs in one basket." Markowitz's Modern Portfolio Theory leads us to diversify our portfolio to achieve the highest Sharp ratio. Fama-French's Three-Factor ...

  3. Building an All-of-the-Above Portfolio with Loan Guarantees for...

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

    Building an All-of-the-Above Portfolio with Loan Guarantees for Advanced Nuclear Projects Building an All-of-the-Above Portfolio with Loan Guarantees for Advanced Nuclear Projects...

  4. The effectiveness of portfolios in assessing students' connections between mathematical symbols and mathematical concepts

    E-Print Network [OSTI]

    McGinnis, Leslie Grable

    1995-01-01T23:59:59.000Z

    The purpose of this study was to assess the effectiveness of mathematics portfolios in determining the type of connections students were making between mathematical concepts and mathematical symbols. A mathematics portfolio is a purposeful...

  5. Downside Risk Constraints and Currency Hedging in International Portfolios: the Asian and Late-2000 Crisis

    E-Print Network [OSTI]

    Zhou, Ying

    2012-02-14T23:59:59.000Z

    MV is the traditional method to treat international portfolio selection problems, which bases its theory on the assumption of Normal Distribution. However, during economy recession the portfolio return turns out to be a fat tail distribution...

  6. Empirical Analysis of Value at Risk and Expected Shortfall in Portfolio Selection Problem

    E-Print Network [OSTI]

    Ding, Liyuan 1988-

    2012-12-11T23:59:59.000Z

    Safety first criterion and mean-shortfall criterion both explore cases of assets allocation with downside risk. In this paper, I compare safety first portfolio selection problem and mean-shortfall portfolio optimization problem, considering risk...

  7. Microsoft PowerPoint -Risk_Portfolio_Manager(RPM)_overview_Under...

    Office of Environmental Management (EM)

    PowerPoint - RiskPortfolioManager(RPM)overviewUnderSecDOE2011V4 Final 3-22-2011.ppt Read-Only Compatibili Microsoft PowerPoint - RiskPortfolioManager(RPM)overviewUn...

  8. Essays on the Economics of Environmental Issues: The Environmental Kuznets Curve to Optimal Energy Portfolios

    E-Print Network [OSTI]

    Meininger, Aaron G.

    2012-01-01T23:59:59.000Z

    frontiers in a cost- risk nexus of energy technologies.the true cost risks involved in the energy portfolio. Usingthe true cost risks involved in the energy portfolio. Using

  9. M.A. Wright Investment Fund February 7, 2011

    E-Print Network [OSTI]

    performance against benchmark - Sector updates - Portfolio management process enhancement - Senior analyst: Industrials / Materials ­ Wesley Lantrip, Senior Analyst · Analyst Group Spotlight: Energy / Utilities ­ Jay ­ Wesley Lantrip, Senior Analyst · Analyst Group Spotlight: Energy / Utilities ­ Jay Zeidman, Senior

  10. Essays on the Economics of Environmental Issues: The Environmental Kuznets Curve to Optimal Energy Portfolios

    E-Print Network [OSTI]

    Meininger, Aaron G.

    2012-01-01T23:59:59.000Z

    Renewable Portfolio157 B.2 Renewable Energy Funding and Speci?c Technology161 ix B.3 Renewable Energy Penetration

  11. Peer Review of the Federal Energy Management Program Energy-Efficient Product Procurement Portfolio

    Broader source: Energy.gov [DOE]

    Document details the peer review of the Federal Energy Management Program Energy-Efficient Product Procurement portfolio.

  12. Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs

    E-Print Network [OSTI]

    Mitchell, John E.

    Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs John E. Mitchell. Abstract: The inclusion of transaction costs is an essential element of any realistic portfolio transaction costs are incurred to rebalance an investment portfolio. In partic- ular, we consider linear

  13. OCTOBER 2010 SPECIAL INSTRUCTIONS TO DESIGNERS SID-S SUSTAINABLE PRODUCTS PORTFOLIO

    E-Print Network [OSTI]

    Kamat, Vineet R.

    by the Sustainability Team at the University of Michigan (U-M) Department of Architecture, Engineering & ConstructionSID-S OCTOBER 2010 SPECIAL INSTRUCTIONS TO DESIGNERS SID-S SUSTAINABLE PRODUCTS PORTFOLIO Page 1 of 2 SUSTAINABLE PRODUCTS PORTFOLIO General The Sustainable Products Portfolio (SPP) is maintained

  14. Essays on portfolio choice with Bayesian methods

    E-Print Network [OSTI]

    Kebabci, Deniz

    2007-01-01T23:59:59.000Z

    Protopapadakis (2002) estimate a GARCH model of daily equityreal. They estimate a GARCH model of daily equity returns,

  15. Diversifying Project Portfolios for Utility Energy Service Contracts

    Broader source: Energy.gov [DOE]

    Building a diversified project portfolio enhances utility energy service contracts (UESCs) to ensure Federal agencies get the best value possible. Energy efficiency measures are inherent in UESC projects. However, do not overlook the possibility for renewable energy and water efficiency and other conservation measures.

  16. NIH Portfolio Analysis on Climate Change and Health

    E-Print Network [OSTI]

    Madey, Gregory R.

    NIH Portfolio Analysis on Climate Change and Health Total studies that in some way relate to climate change 1,357 > Directly relate to climate change 7 > Examine the climate variables on health 85 response to climate change By David Taylor Climate change and its relationship to health research

  17. RISK MANAGEMENT IN REAL OPTIONS BASED PHARMACEUTICAL PORTFOLIO PLANNING

    E-Print Network [OSTI]

    Maranas, Costas

    RISK MANAGEMENT IN REAL OPTIONS BASED PHARMACEUTICAL PORTFOLIO PLANNING Michael J. Rogers, Anshuman valuations and a risk management analysis for balancing risk versus reward tradeoffs. The resulting valuation that minimize risk for a specified level of return, to begin Phase I clinical testing from a set of candidate

  18. Rebalancing an Investment Portfolio in the Presence of Convex ...

    E-Print Network [OSTI]

    2004-12-17T23:59:59.000Z

    an existing portfolio must be included in any realistic analysis. In this paper, we ... recent survey on the impact of transaction costs on the dynamic rebalancing problem, see ...... European Journal of Operational Research, 79(1):85–94, 1994. [2] E. D. ... Technical report, Department of Economics, Lund University, Sweden,.

  19. California's Renewable Portfolio Standard Northwest Power and Conservation Council

    E-Print Network [OSTI]

    resources are being procured and at what cost? Challenges with renewable integration Challenges target for 33% of energy to be from eligible renewable energy resources Large hydro and rooftop solarCalifornia's Renewable Portfolio Standard Northwest Power and Conservation Council California Power

  20. Mean-risk optimization of electricity portfolios Andreas Eichhorn 1

    E-Print Network [OSTI]

    Eichhorn, Andreas

    refer to a wide range of literature dealing with power management in a hydro-thermal system and simultaneous optimization of power production and electricity trading, e.g. [7] and [10]. We suppose that eachMean-risk optimization of electricity portfolios Andreas Eichhorn 1 , Nicole Gr¨owe-Kuska1 , Andrea

  1. PG&E's Renewable Portfolio Standard & Greenhouse Gas Compliance

    E-Print Network [OSTI]

    Electric Transportation Natural Gas Capped at 334 MMT 80 MMT #12;(MMT CO2e Business as Usual ­ 2020 507 Electric and Natural Gas Sectors Energy Efficiency 12 Renewables 11 Other 2 Transportation Low Carbon FuelPG&E's Renewable Portfolio Standard & Greenhouse Gas Compliance Fong Wan Senior Vice President

  2. Optimization of Real Asset Portfolio using a Coherent Risk Measure ...

    E-Print Network [OSTI]

    2010-07-22T23:59:59.000Z

    techniques evolved to the use of enterprise portfolio management, very common in the energy ... Petrobras refineries for fuel and inputs in their units (30%), the demand of local .... the stochastic linear program with uncertain right hand side: ? ... since it would correspond to start building a new pipeline only after the gas de-.

  3. A MEAN-VARIANCE PORTFOLIO OPTIMIZATION OF CALIFORNIA'S

    E-Print Network [OSTI]

    that have lower expected costs, less cost risk, and substantially reduced CO2 emissions and energy import, renewable energy, electricity planning, fuel prices, energy risks #12;TABLE OF CONTENTS EXECUTIVE SUMMARY'S 33 PERCENT RENEWABLE PORTFOLIO STANDARD GOAL Prepared For: California Energy Commission Prepared By

  4. Computational Exploration of Investor Utilities Underlying a Portfolio Insurance Strategy

    E-Print Network [OSTI]

    M. Khoshnevisan; Florentin Smarandache; Sukanto Bhattacharya

    2002-10-30T23:59:59.000Z

    In this paper we take a look at a simple portfolio insurance strategy using a protective put and computationally derive the investor's governing utility structures underlying such a strategy under alternative market scenarios. Investor utility is deemed to increase with an increase in the excess equity generated by the portfolio insurance strategy over a simple investment strategy without any insurance. Three alternative market scenarios (probability spaces) have been explored -- 'Down', 'Neutral' and 'Up', categorized according to whether the price of the underlying security is most likely to go down, stay unchanged or go up. The methodology used is computational, primarily based on simulation and numerical extrapolation. The Arrow-Pratt measure of risk aversion has been used to determine how the investors react towards risk under the different scenarios.

  5. Retrospective on the Seniors' Council Tier 1 LDRD portfolio.

    SciTech Connect (OSTI)

    Ballard, William Parker

    2012-04-01T23:59:59.000Z

    This report describes the Tier 1 LDRD portfolio, administered by the Seniors Council between 2003 and 2011. 73 projects were sponsored over the 9 years of the portfolio at a cost of $10.5 million which includes $1.9M of a special effort in directed innovation targeted at climate change and cyber security. Two of these Tier 1 efforts were the seeds for the Grand Challenge LDRDs in Quantum Computing and Next Generation Photovoltaic conversion. A few LDRDs were terminated early when it appeared clear that the research was not going to succeed. A great many more were successful and led to full Tier 2 LDRDs or direct customer sponsorship. Over a dozen patents are in various stages of prosecution from this work, and one project is being submitted for an R and D 100 award.

  6. Experiments in Robust Portfolio Optimization Daniel Bienstock ...

    E-Print Network [OSTI]

    2007-02-27T23:59:59.000Z

    testing of the performance of our algorithms. ... The 'laboratory' testing of such ...... paper we have chosen the following concrete model, which we refer to this as ...

  7. Renewable Portfolio Standards in the United States - A Status Report with Data Through 2007

    E-Print Network [OSTI]

    Wiser, Ryan

    2008-01-01T23:59:59.000Z

    less than 1% is small hydro and ocean energy, demonstratingexcept that certain small-hydro facilities owned by Oregon8% geothermal, and 4% small hydro. Renewables Portfolio

  8. Costs and Benefits of Renewables Portfolio Standards in the United States

    E-Print Network [OSTI]

    Barbose, Galen

    2014-01-01T23:59:59.000Z

    Approval of Its Amended Renewable Energy Plan. June 3, 2013.Benefits of Complying with Renewable Portfolio Standards:The Costs and Benefits of Renewable Resource Procurement in

  9. Summary of First PV Performance Modeling Workshop

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

    AnalystsOther Steve Ransome Navigant SolarTech Modelers CEC-UW Clean Power King Solar Works PVDesign Pro - Hoes Engineering PV*Sol PVSyst Universities U of Arizona U of...

  10. Climate Change Technology R&D Portfolio Decision Making Under Uncertainty

    SciTech Connect (OSTI)

    Baker, E.; Keisler, J.; Chon, H.

    2008-11-17T23:59:59.000Z

    In this project we have completed, or are in the process of, collecting and analyzing information on seven energy technologies – solar photovoltaics, nuclear power, carbon capture and storage, electricity from biomass, liquid bio-fuels, and batteries – in regards to their potential impact on reducing greenhouse gas emissions. We have collected expert elicitations, relating U.S. government funding trajectories to probabilities of success. We then used MiniCAM, a technologically-detailed Integrated Assessnent Model to determine the impact on the marginal cost of reducing greenhouse gas emissions, if the technologies were successful. Finally, we have performed initial analysis on portfolios of technologies. This project has partially supported nine papers, either published, under review, or under preparation for such journals as Energy Economics, The Energy Journal, Climatic Change, Management Science, and Transportation Research.

  11. Evaluating Renewable Portfolio Standards and Carbon Cap Scenarios in the U.S. Electric Sector

    SciTech Connect (OSTI)

    Bird, L.; Chapman, C.; Logan, J.; Sumner, J.; Short, W.

    2010-05-01T23:59:59.000Z

    This report examines the impact of various renewable portfolio standards (RPS) and cap-and-trade policy options on the U.S. electricity sector, focusing mainly on renewable energy generation. The analysis uses the National Renewable Energy Laboratory's Regional Energy Deployment System (ReEDS) model that simulates the least-cost expansion of electricity generation capacity and transmission in the United States to examine the impact of an emissions cap--similar to that proposed in the Waxman-Markey bill (H.R. 2454)--as well as lower and higher cap scenarios. It also examines the effects of combining various RPS targets with the emissions caps. The generation mix, carbon emissions, and electricity price are examined for various policy combinations to simulate the effect of implementing policies simultaneously.

  12. Energy Procurement Portfolios and Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    (stochastic modeling) Setting of the "risk factor" must reflect your operational reality Electricity pricing 2011 Project team: Cagri Latifoglu Lehigh University Jim Hutton Air Products Peter Connard Air Products buckets Contract types available: ­ Fixed price (FP or f) ­ Quantitybased tiered (QB or q) ­ Timebased

  13. Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs and Market Impact Costs

    E-Print Network [OSTI]

    Mitchell, John E.

    Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs and Market Impact Costs John E. Mitchell Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY. Abstract The inclusion of transaction costs is an essential element of any realistic portfolio optimization

  14. Mean-Risk Optimization of Electricity Portfolios Using Multiperiod Polyhedral Risk Measures

    E-Print Network [OSTI]

    Eichhorn, Andreas

    Mean-Risk Optimization of Electricity Portfolios Using Multiperiod Polyhedral Risk Measures Andreas-risk optimization of electricity portfolios containing electricity futures as well as several com- ponents to satisfy a stochastic electricity demand: electricity spot market, two different types of supply contracts

  15. Decision-support tool for assessing future nuclear reactor generation portfolios.

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    Decision-support tool for assessing future nuclear reactor generation portfolios. Shashi Jain, where especially capital costs are known to be highly uncertain. Differ- ent nuclear reactor types uncertainties in the cost elements of a nuclear power plant, to provide an optimal portfolio of nuclear reactors

  16. On the method of optimal portfolio choice by cost-efficiency

    E-Print Network [OSTI]

    Rüschendorf, Ludger

    On the method of optimal portfolio choice by cost-efficiency Ludger R¨uschendorf*, Viktor Wolf Freiburg, Germany Abstract We develop the method of optimal portfolio choice based on the concept of cost-efficiency class of cost-efficient payoffs. While the results for the cost-efficient payoff given so far

  17. MSU Friday Audition/Portfolio Scholarships for the School of Film and Photography

    E-Print Network [OSTI]

    Dyer, Bill

    MSU Friday Audition/Portfolio Scholarships for the School of Film and Photography The School-Bozeman School of Film and Photography, Attn: Portfolio/Audition Committee PO Box 173350 VCB 202 Bozeman, MT on the basis of the written statement, originality, creative energy, and relative accomplishment of the work

  18. PORTFOLIO RISK ASSESSMENT OF SA WATER'S LARGE DAMS by David S. Bowles1

    E-Print Network [OSTI]

    Bowles, David S.

    PORTFOLIO RISK ASSESSMENT OF SA WATER'S LARGE DAMS by David S. Bowles1 , Andrew M. Parsons2 , Loren R. Anderson3 and Terry F. Glover4 ABSTRACT This paper summarises the Portfolio Risk Assessment (PRA and an initial prioritisation of future investigations and possible risk reduction measures. The PRA comprised

  19. Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    SciTech Connect (OSTI)

    Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K.; Venkatech, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

    2009-09-30T23:59:59.000Z

    The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and/or different answers in response to a set of focused energy-related questions. The focus was on understanding reasons for model differences, not on policy implications, even though a policy of high renewable penetration was used for the analysis. A group process was used to identify the potential question (or questions) to be addressed through the project. In late 2006, increasing renewable energy penetration in the electricity sector was chosen from among several options as the general policy to model. From this framework, the analysts chose a renewable portfolio standard (RPS) as the way to implement the required renewable energy market penetration in the models. An RPS was chosen because it was (i) of interest and represented the group's consensus choice, and (ii) tractable and not too burdensome for the modelers. Because the modelers and analysts were largely using their own resources, it was important to consider the degree of effort required. In fact, several of the modelers who started this process had to discontinue participation because of other demands on their time. Federal and state RPS policy is an area of active political interest and debate. Recognizing this, participants used this exercise to gain insight into energy model structure and performance. The results are not intended to provide any particular insight into policy design or be used for policy advocacy, and participants are not expected to form a policy stance based on the outcomes of the modeling. The goals of this REMAP project - in terms of the main topic of renewable penetration - were to: (1) Compare models and understand why they may give different results to the same question, (2) Improve the rigor and consistency of assumptions used across models, and (3) Evaluate the ability of models to measure the impacts of high renewable-penetration scenarios.

  20. PNNL: Codes Portfolio - 2015 Peer Review | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOfEnergyOutreachPNNL AdvancesPNNL: Codes Portfolio

  1. Attachment J-16 Portfolio Management Task Order 14-001

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational ManagementDemand6 Department ofJ-16 PortfolioMod

  2. Fuel Cells & Renewable Portfolio Standards | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdf Flash2006-52.pdf0.pdfDepartment ofEnergy 3 Fuel Cell2|& Renewable Portfolio

  3. Environmental Protection Agency (EPA) Portfolio Manager | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place:EnergyLiteInformation Portfolio Manager

  4. SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE Timothy M. Magee, Operations Research Analyst, Center for Advanced Decision Support

    E-Print Network [OSTI]

    Ware's capabilities with TVA's daily operations scheduling models which optimize hydropower value while meeting non and operates 29 conventional hydropower plants and one pumped storage hydropower plant in the Tennessee Valley to hydropower generation, the reservoir system provides other beneficial services throughout the Tennessee

  5. Moving from Status to Trends: Forest Inventory and Analysis Symposium 2012 74GTR-NRS-P-105 USING FIESTA, AN R-BASED TOOL FOR ANALYSTS,

    E-Print Network [OSTI]

    Development Core Team 2011). R is a powerful statistical computing and graphical program language a flexible, cross-platform environment for statistical tool development and application through R package FIESTA, AN R-BASED TOOL FOR ANALYSTS, TO LOOK AT TEMPORAL TRENDS IN FOREST ESTIMATES Tracey S. Frescino

  6. Multi-period robust risk measures and portfolio selection models ...

    E-Print Network [OSTI]

    2015-05-08T23:59:59.000Z

    P. R. China, zchen@mail.xjtu.edu.cn, liu.jia@stu.xjtu.edu.cn .... problem incorporating transaction costs, we show that they can be equivalently transformed into.

  7. Principal UncertaintiesPrincipal Uncertainties Their Representation in the Regional Portfolio ModelTheir Representation in the Regional Portfolio Model

    E-Print Network [OSTI]

    % 20% 30% 40% 50% 60% 70% 80% 90% 100% #12;Page 5 9 Wholesale Electricity PricesWholesale Electricity

  8. Risk assessment methodology applied to counter IED research & development portfolio prioritization

    SciTech Connect (OSTI)

    Shevitz, Daniel W [Los Alamos National Laboratory; O' Brien, David A [Los Alamos National Laboratory; Zerkle, David K [Los Alamos National Laboratory; Key, Brian P [Los Alamos National Laboratory; Chavez, Gregory M [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    In an effort to protect the United States from the ever increasing threat of domestic terrorism, the Department of Homeland Security, Science and Technology Directorate (DHS S&T), has significantly increased research activities to counter the terrorist use of explosives. More over, DHS S&T has established a robust Counter-Improvised Explosive Device (C-IED) Program to Deter, Predict, Detect, Defeat, and Mitigate this imminent threat to the Homeland. The DHS S&T portfolio is complicated and changing. In order to provide the ''best answer'' for the available resources, DHS S&T would like some ''risk based'' process for making funding decisions. There is a definite need for a methodology to compare very different types of technologies on a common basis. A methodology was developed that allows users to evaluate a new ''quad chart'' and rank it, compared to all other quad charts across S&T divisions. It couples a logic model with an evidential reasoning model using an Excel spreadsheet containing weights of the subjective merits of different technologies. The methodology produces an Excel spreadsheet containing the aggregate rankings of the different technologies. It uses Extensible Logic Modeling (ELM) for logic models combined with LANL software called INFTree for evidential reasoning.

  9. Model documentation report: Industrial sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its model. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  10. Selling an Energy Efficiency Loan Portfolio in Oregon: Resale of the Craft3 loan portfolio to Self-Help Credit Union

    SciTech Connect (OSTI)

    Thompson, Peter; Borgeson, Merrian; Kramer, Chris; Zimring, Mark; Goldman, Charles

    2014-05-30T23:59:59.000Z

    Under the Clean Energy Works (CEW) program, Craft3 developed a loan product that widened access to financing for homeowners, offered long term funding, and collected repayments through the customer?s utility bill. The program?s success led Craft3 to pursue the sale of the loan portfolio to both mitigate its own risks and replenish funds for lending. This sale breaks new ground for energy efficiency finance and is notable as it was completed even with many novel program design elements. It replenished Craft3?s program capital and uncovered some valuable lessons that may facilitate future transactions. However, the lack of data history and the unproven nature of the loan portfolio meant that Craft3 had to limit the risk of losses to Self-Help, the purchaser of the portfolio. It remains to be seen whether this experience will pave the way for more sales of on-bill energy efficiency loan portfolios. This case study illustrates how certain program design decisions can sometimes both facilitate programmatic objectives and possibly present challenges for the sale of a portfolio of energy efficiency loans.

  11. The Value of Assessing Uncertainty in Oil and Gas Portfolio Optimization

    E-Print Network [OSTI]

    Hdadou, Houda

    2013-07-25T23:59:59.000Z

    It has been shown in the literature that the oil and gas industry deals with a substantial number of biases that impact project evaluation and portfolio performance. Previous studies concluded that properly estimating uncertainties...

  12. Appropriateness and feasibility of targeted diversification in a private equity portfolio

    E-Print Network [OSTI]

    Browne, Kathleen R. (Kathleen Rose)

    2006-01-01T23:59:59.000Z

    Diversification tools such as modem portfolio theory are used by institutional investors when making asset allocation decisions, which often result in an allocation to the private equity asset class. While some level of ...

  13. Unexploited Gains From International Diversification: Patterns Of Portfolio Holdings Around The World

    E-Print Network [OSTI]

    Didier, Tatiana

    Using unique data on mutual fund portfolios with different investment scopes, we study the extent of international diversification. Mutual funds invest in a surprisingly limited number of stocks—about 100. The number of ...

  14. Worst-Case Value-at-Risk of Non-Linear Portfolios - Optimization

    E-Print Network [OSTI]

    2012-06-21T23:59:59.000Z

    Jun 21, 2012 ... level ? is defined as the (1 ? ?)-percentile of the portfolio loss distribution, where ? is typically chosen as 1% or 5%. Put differently, VaR?(w) is ...

  15. Managing a portfolio of real options : sequential exploration of dependent prospects

    E-Print Network [OSTI]

    Smith, James L.

    2004-01-01T23:59:59.000Z

    We consider the impact of sequential investment and active management on the value of a portfolio of real options. The options are assumed to be interdependent, in that exercise of any one is assumed to produce, in addition ...

  16. Venture Capitalists' Decision to Withdraw: The Role of Portfolio Configuration From a Real Options Lens

    E-Print Network [OSTI]

    Li, Yong; Chi, Tailan

    2012-01-01T23:59:59.000Z

    When does a venture capital firm withdraw from an investment project prior to its completion? This study offers a real options view on this decision by examining the contingent effects of portfolio configuration. We explore how project withdrawal...

  17. Renewable Portfolio Standards in the United States - A Status Report with Data Through 2007

    E-Print Network [OSTI]

    Wiser, Ryan

    2008-01-01T23:59:59.000Z

    except that certain small-hydro facilities owned by OregonMSW, and less than 1% is small hydro and ocean energy,8% geothermal, and 4% small hydro. Renewables Portfolio

  18. EPA ENERGY STAR Webcast: Portfolio Manager Office Hours, Focus Topic: Sharing Forward and Transfer Ownership

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...

  19. EPA ENERGY STAR Webcast- Portfolio Manager Office Hours, Focus Topic: Weather Data and Metrics

    Broader source: Energy.gov [DOE]

    Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...

  20. MSU Friday Audition/Portfolio Scholarships for the School of Film and Photography

    E-Print Network [OSTI]

    Dyer, Bill

    MSU Friday Audition/Portfolio Scholarships for the School of Film and Photography The School of Film and Photography expects to have scholarship monies on the basis of the written statement, originality, creative energy, and relative

  1. Extracting product opportunities from intellectual property portfolios : from patent to product idea

    E-Print Network [OSTI]

    Cooper-Davis, Sarah

    2014-01-01T23:59:59.000Z

    Companies and research institutes maintain large intellectual property portfolios, which are considered company assets and require significant investments to maintain. This thesis looks at the potential to extract value ...

  2. Energy Industry Analyst

    Broader source: Energy.gov [DOE]

    This position is located in the Northeast Satellite Office of the Office of Energy Market Regulation (OEMR)/Division of Electric Power Regulation, East. OEMR works to promote and maintain...

  3. Student Trainee (Financial Analyst)

    Broader source: Energy.gov [DOE]

    This position is being filled under the Pathways Internship Program. The program is designed to provide students enrolled in a wide variety of educational institutions, from high school to graduate...

  4. Program Analyst (Recent Graduate)

    Broader source: Energy.gov [DOE]

    This position is being filled under the Department of Energy's Recent Graduate Program. The Recent Graduate Program is a 1 year developmental program designed to promote careers in Federal Service...

  5. Supervisory Business Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will... Serve as the Berkeley Site Office (BSO) Contracts and Business Division Director; a senior, line management, supervisory position.

  6. Supervisory Procurement Analyst

    Broader source: Energy.gov [DOE]

    This position is located in Purchasing/Property Governance, Compliance and Governance, Office of the Deputy Administrator. Additional vacancies may be filled through this vacancy announcement or if...

  7. Supervisory Natural Gas Analyst

    Broader source: Energy.gov [DOE]

    The Department of Energys Office of Fossil Energy, Office of Oil and Natural Gas, Office of Oil and Gas Global Security and Supply (FE) is responsible for regulating natural gas imports and exports...

  8. Operations Research Analysts

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest and EvaluationOperational ManagementCenter

  9. Portfolio sire selection to maximize the utility of individual management and breeding goals

    E-Print Network [OSTI]

    Bloom, Andrew Scott

    1988-01-01T23:59:59.000Z

    PORTFOLIO SIRE SELECTION TO MAXIMIZE THE UTILITY OF INDIVIDUAL MANAGEMENT AND BREEDING GOALS A Thesis by ANDREW SCOTT BLOOM 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 1988 Major Subject: Dairy Science PORTFOLIO SIRE SELECTION TO MAXIMIZE THE UTILITY OF INDIVIDUAL MANAGEMENT AND BREEDING GOALS A Thesis by ANDREW SCOTT BLOOM Approved as to style and content by: michael A...

  10. Essays on Incorporating Risk Modeling Techniques in Agriculture

    E-Print Network [OSTI]

    Larsen, Ryan A.

    2012-10-19T23:59:59.000Z

    single period model, an asymmetric risk measure, conditional value at risk, and asymmetric dependence measure, copulas, are implemented into the portfolio optimization model. The efficient frontiers under both symmetric and asymmetric assumptions show...

  11. Power Transfer Potential to the Southeast in Response to a Renewable Portfolio Standard: Interim Report 1

    SciTech Connect (OSTI)

    Hadley, Stanton W [ORNL; Key, Thomas S [Electric Power Research Institute (EPRI)

    2009-03-01T23:59:59.000Z

    The power transfer potential for bringing renewable energy into the Southeast in response to a renewable portfolio standard (RPS) will depend not only on available transmission capacity but also on electricity supply and demand factors. This interim report examines how the commonly used EIA NEMS and EPRI NESSIE energy equilibrium models are considering such power transfers. Using regional estimates of capacity expansion and demand, a base case for 2008, 2020 and 2030 are compared relative to generation mix, renewable deployments, planned power transfers, and meeting RPS goals. The needed amounts of regional renewable energy to comply with possible RPS levels are compared to inter-regional transmission capacities to establish a baseline available for import into the Southeast and other regions. Gaps in the renewable generation available to meet RPS requirements are calculated. The initial finding is that the physical capability for transferring renewable energy into the SE is only about 10% of what would be required to meet a 20% RPS. Issues that need to be addressed in future tasks with respect to modeling are the current limitations for expanding renewable capacity and generation in one region to meet the demand in another and the details on transmission corridors required to deliver the power.

  12. Illinois SB 1987: the Clean Coal Portfolio Standard Law

    SciTech Connect (OSTI)

    NONE

    2009-01-15T23:59:59.000Z

    On January 12, 2009, Governor Rod Blagojevich signed SB 1987, the Clean Coal Portfolio Standard Law. The legislation establishes emission standards for new coal-fueled power plants power plants that use coal as their primary feedstock. From 2009-2015, new coal-fueled power plants must capture and store 50 percent of the carbon emissions that the facility would otherwise emit; from 2016-2017, 70 percent must be captured and stored; and after 2017, 90 percent must be captured and stored. SB 1987 also establishes a goal of having 25 percent of electricity used in the state to come from cost-effective coal-fueled power plants that capture and store carbon emissions by 2025. Illinois is the first state to establish a goal for producing electricity from coal-fueled power plants with carbon capture and storage (CCS). To support the commercial development of CCS technology, the legislation guarantees purchase agreements for the first Illinois coal facility with CCS technology, the Taylorville Energy Center (TEC); Illinois utilities are required to purchase at least 5 percent of their electricity supply from the TEC, provided that customer rates experience only modest increases. The TEC is expected to be completed in 2014 with the ability to capture and store at least 50 percent of its carbon emissions.

  13. Electronic copy available at: http://ssrn.com/abstract=1558744 The optimal portfolio of emissions abatement and

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Electronic copy available at: http://ssrn.com/abstract=1558744 The optimal portfolio of emissions abatement and low-carbon R&D depends on the expected availability of negative emission technologies Derek M optimal portfolio of emissions abatement and low-carbon R&D depends on the expected availability

  14. SUMMARY OF AVC/H.264 LICENSE TERMS1 The AVC Patent Portfolio License is divided into two principal parts (see Diagram): (a)

    E-Print Network [OSTI]

    Rodriguez, Carlos

    SUMMARY OF AVC/H.264 LICENSE TERMS1 The AVC Patent Portfolio License is divided into two principal and may not be relied upon for any purpose. The AVC Patent Portfolio License provides the actual terms of license on which users may rely. 2 Sections 2.1 and 2.6 of the AVC Patent Portfolio License 3 Sections 2

  15. The Economics of LEED-EB for Single Buildings and Building Portfolios

    E-Print Network [OSTI]

    Arny, M.

    P. O. Box 5425, Madison, WI 53705 1526 Chandler St., Madison, WI 53711 ph. 608.280.0255 fx. 608.255.7202 www.leonardoacademy.org 1 The Economics of LEED-EB for Single Buildings and Building Portfolios PRESENTED...?BY?MICHAEL?ARNY,?PRESIDENT? PRESENTATION DESCRIPTION This presentation covers the economics of LEED for Existing Buildings (EB) implementation in single buildings and for building portfolios. It is based on Leonardo Academy?s recently completed a survey of buildings that have earned...

  16. Causal Modeling with Applications to the Foreign Exchange Market

    E-Print Network [OSTI]

    Deaton, Brian D.

    2013-11-27T23:59:59.000Z

    , Japanese yen, and United States dollar). This information is used in portfolio management to improve risk management, to visualize the causal connections between currencies, and enhance the forecasting ability of time series models. In the first section, a...

  17. NOTICE OF RENEWABLE POWER STANDARDS (RPS) MEETING Renewable Portfolio Standard Plan Before Council

    E-Print Network [OSTI]

    establishes minimum quantities of renewable energy resources that load serving entities must procure annually of renewables energy resources that load serving entities must procure annually through 2020. Each load servingNOTICE OF RENEWABLE POWER STANDARDS (RPS) MEETING Renewable Portfolio Standard Plan Before Council

  18. Essays on the Economics of Environmental Issues: The Environmental Kuznets Curve to Optimal Energy Portfolios

    E-Print Network [OSTI]

    Meininger, Aaron G.

    2012-01-01T23:59:59.000Z

    levelized generating costs per kWh. Expected portfolioThis is due to the high cost per kWh (low return) shown in2 costs are derived by multiplying 1kg of CO 2 per kWh for

  19. Portfolio of Tools, Faculty Pay-Merit Paradigm (updated August 2012) Type of Faculty

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Portfolio of Tools, Faculty Pay-Merit Paradigm (updated August 2012) Type of Faculty Salary-tenure review). This tool contrasts with "standard" equity (see other side). Cost-share: Central campus pays up. Rolling horizon of implementation; local units drive process. TBD: HR Redesign tools; periodicity of CCF

  20. Edito. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . p. 3 Portfolio Lutte contre la capture baleinire dans l'ocan Austral . . p. 6

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . p. 3 Portfolio Lutte contre la capture baleinière dans l'océan Austral . . p. 6 HISTOIRE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P.7 TABLEAU DE BORD L'océan au fil des siècles et des cartes . . . . . . . . p. 8 TABLEAU DE BORD � la conquête des mers... . . . . . . . . . . . . . . . . . p. 9 REP�RES Ces batailles navales qui ont

  1. RENEWABLE ENERGY ACTION TEAM Milestones to Permit California Renewable Portfolio Standard Energy Projects

    E-Print Network [OSTI]

    1 RENEWABLE ENERGY ACTION TEAM Milestones to Permit California Renewable Portfolio Standard Energy renewable energy resources. In November 2008, the CEC, DFG, the Bureau of Land Management (BLM the Renewable Energy Action Team (REAT) to address permitting issues associated with specific renewable energy

  2. Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz

    E-Print Network [OSTI]

    Rüschendorf, Ludger

    of large portfolio losses. With more than 400 stocks to choose from, our study applies extreme value have demonstrated that the technical progress of financial markets and their globalization have also, and this bias can have a crucial effect on the investment performance. To some extent, these technical diffi

  3. Comparison of Photovoltaic Models in the System Advisor Model: Preprint

    SciTech Connect (OSTI)

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

    2013-08-01T23:59:59.000Z

    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.

  4. Weighing the Costs and Benefits of Renewables Portfolio Standards:A Comparative Analysis of State-Level Policy Impact Projections

    SciTech Connect (OSTI)

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-16T23:59:59.000Z

    State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. Collectively, these policies now apply to roughly 40% of U.S. electricity load, and may have substantial impacts on electricity markets, ratepayers, and local economies. As RPS policies have been proposed or adopted in an increasing number of states, a growing number of studies have attempted to quantify the potential impacts of these policies, focusing primarily on projecting cost impacts, but sometimes also estimating macroeconomic and environmental effects. This report synthesizes and analyzes the results and methodologies of 28 distinct state or utility-level RPS cost impact analyses completed since 1998. Together, these studies model proposed or adopted RPS policies in 18 different states. We highlight the key findings of these studies on the costs and benefits of RPS policies, examine the sensitivity of projected costs to model assumptions, assess the attributes of different modeling approaches, and suggest possible areas of improvement for future RPS analysis.

  5. Model documentation report: Transportation sector model of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  6. Achieving and sustaining an optimal product portfolio in the healthcare industry through SKU rationalization, complexity costing, and dashboards

    E-Print Network [OSTI]

    Hilliard, David (David John)

    2012-01-01T23:59:59.000Z

    After years of new product launches, and entry into emerging markets, Company X, a healthcare company, has seen its product portfolio proliferate and bring costly complexity into its operations. Today, Company X seeks to ...

  7. Illiquidity Premia in Asset Returns: An Empirical Analysis of Hedge Funds, Mutual Funds, and US Equity Portfolios

    E-Print Network [OSTI]

    Lo, Andrew W.

    We establish a link between illiquidity and positive autocorrelation in asset returns among a sample of hedge funds, mutual funds, and various equity portfolios. For hedge funds, this link can be confirmed by comparing the ...

  8. Complex Dynamics in Equilibrium Asset Pricing Models with Boundedly Rational, Heterogeneous

    E-Print Network [OSTI]

    their optimal portfolio and the market equilibrium, investors must compute future aggregate demands for assets] for critiques of equilibrium models and the response [4] by Robert Lucas. 3The Lucas [5] paper is one one

  9. An Exact Solution Approach for Portfolio Optimization Problems ...

    E-Print Network [OSTI]

    2007-02-09T23:59:59.000Z

    model and (ii) some of the trading restrictions of stock markets. ..... To model such constraints, we introduce r extra binary variables ?j ? {0,1},j = 1,...,r taking.

  10. Microsoft Word - FY14_Technology_Innovation_Portfolio_CX.docx

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

    testing, energy-efficient lighting, rooftop heatingventilationair-conditioning units, demand response applications, computer modeling, and software development. BPA also...

  11. The NCI Radiation Research Program: Grant portfolio and radiation

    E-Print Network [OSTI]

    models (89 animals no human subject material, 21 use both) ­ 109 utilize rodent models ­ 2 have canine and R37s). Of those that utilize radiation: · 6 use tissue culture models only · 110 utilize animal subjects · 39 use human subjects or human subject materials only. #12;Dose and Dosimetry · The majority

  12. Modeling Human Behavior to Anticipate Insider Attacks

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Hohimer, Ryan E.

    2011-06-09T23:59:59.000Z

    The insider threat ranks among the most pressing cybersecurity challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral “triggers” to help focus the analyst’s attention and inform the analysis. Designed to be domain independent, the system may be applied to many different threat and warning analysis/sensemaking problems.

  13. Effective Collaboration and Consistency Management in Business Process Modeling

    E-Print Network [OSTI]

    Czarnecki, Krzysztof

    Effective Collaboration and Consistency Management in Business Process Modeling Co-Chairs: Moises they are lost. Business Process Modeling (BPM) is a promising approach to enable agility in business process of experts. Business analysts gather requirements and create high-level process models. Solution architects

  14. Including Alternative Resources in State Renewable Portfolio Standards: Current Design and Implementation Experience

    SciTech Connect (OSTI)

    Heeter, J.; Bird, L.

    2012-11-01T23:59:59.000Z

    Currently, 29 states, the District of Columbia, and Puerto Rico have instituted a renewable portfolio standard (RPS). An RPS sets a minimum threshold for how much renewable energy must be generated in a given year. Each state policy is unique, varying in percentage targets, timetables, and eligible resources. This paper examines state experience with implementing renewable portfolio standards that include energy efficiency, thermal resources, and non-renewable energy and explores compliance experience, costs, and how states evaluate, measure, and verify energy efficiency and convert thermal energy. It aims to gain insights from the experience of states for possible federal clean energy policy as well as to share experience and lessons for state RPS implementation.

  15. Research Portfolio Report Small Producers: Operations/Improved...

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

    will reduce the recovery cost and increase the availability of low-permeability oil reserves. Results: * Modeled the targeted test site and conducted simulations that indicate...

  16. Estimating the Value of Utility-Scale Solar Technologies in California Under a 40% Renewable Portfolio Standard (Report Summary) (Presentation)

    SciTech Connect (OSTI)

    Jorgenson, J.; Denholm, P.; Mehos, M.

    2014-06-01T23:59:59.000Z

    Concentrating solar power with thermal energy storage (CSP-TES) is a unique source of solar energy in that its output can be shifted over time. The ability of CSP-TES to be a flexible source of generation may be particularly valuable in regions with high overall penetration of solar energy, such as the state of California. California's Renewable Portfolio Standard (RPS) requires the state to increase generation from eligible renewable energy resources to reach 33% of retail electricity sales by 2020. Beyond 2020, California targets a further reduction in greenhouse gas emissions. To help reach this goal, current California governor Jerry Brown has stated that a higher 40% RPS might be reachable in the near term. The levelized cost of energy is generally emphasized when assessing the economic viability of renewable energy systems implemented to achieve the RPS. However, the operational and capacity benefits of such systems are often ignored, which can lead to incorrect economic comparisons between CSP-TES and variable renewable generation technologies such as solar photovoltaics (PV). Here we evaluate a 40% RPS scenario in a California grid model with PV or CSP-TES providing the last 1% of RPS energy. We compare the technical and economic implications of integrating either solar technology under several sensitivities, finding that the ability to displace new conventional thermal generation capacity may be the largest source of value of CSP-TES compared to PV at high solar penetrations.

  17. Estimating the Value of Utility-Scale Solar Technologies in California Under a 40% Renewable Portfolio Standard

    SciTech Connect (OSTI)

    Jorgenson, J.; Denholm, P.; Mehos, M.

    2014-05-01T23:59:59.000Z

    Concentrating solar power with thermal energy storage (CSP-TES) is a unique source of solar energy in that its output can be shifted over time. The ability of CSP-TES to be a flexible source of generation may be particularly valuable in regions with high overall penetration of solar energy, such as the state of California. California's Renewable Portfolio Standard (RPS) requires the state to increase generation from eligible renewable energy resources to reach 33% of retail electricity sales by 2020. Beyond 2020, California targets a further reduction in greenhouse gas emissions. To help reach this goal, current California governor Jerry Brown has stated that a higher 40% RPS might be reachable in the near term. The levelized cost of energy is generally emphasized when assessing the economic viability of renewable energy systems implemented to achieve the RPS. However, the operational and capacity benefits of such systems are often ignored, which can lead to incorrect economic comparisons between CSP-TES and variable renewable generation technologies such as solar photovoltaics (PV). Here we evaluate a 40% RPS scenario in a California grid model with PV or CSP-TES providing the last 1% of RPS energy. We compare the technical and economic implications of integrating either solar technology under several sensitivities, finding that the ability to displace new conventional thermal generation capacity may be the largest source of value of CSP-TES compared to PV at high solar penetrations.

  18. Multi-Year Analysis of Renewable Energy Impacts in California: Results from the Renewable Portfolio Standards Integration Cost Analysis; Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Shiu, H.; Kirby, B.; Jackson, K.

    2006-08-01T23:59:59.000Z

    California's Renewable Portfolio Standard (RPS, Senate Bill 1078) requires the state's investor-owned utilities to obtain 20% of their energy mix from renewable generation sources. To facilitate the imminent increase in the penetration of renewables, the California Energy Commission (CEC), in support of the California Public Utility Commission (CPUC), initiated a study of integration costs in the context of RPS implementation. This effort estimated the impact of renewable generation in the regulation and load-following time scales and calculated the capacity value of renewable energy sources using a reliability model. The analysis team, consisting of researchers from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL) and the California Wind Energy Collaborative (CWEC), performed the study in cooperation with the California Independent System Operator (CaISO), the Pacific Gas and Electric Company (PG&E), and Southern California Edison (SCE). The study was conducted over three phases and was followed by an analysis of a multi-year period. This paper presents results from the multi-year analysis and the Phase III recommendations.

  19. Short Sales in Log-Robust Portfolio Management

    E-Print Network [OSTI]

    2008-12-24T23:59:59.000Z

    sales, i.e., the case where the manager can sell shares he does not yet own. We model .... We analyze the case of independent assets in Section 2. We extend ...

  20. Performance-based regularization in mean-CVaR portfolio ...

    E-Print Network [OSTI]

    2014-11-03T23:59:59.000Z

    fits the linear model y = X?. Ridge regression corresponds to using the .... The analysis requires a non-trivial extension of the theory of M-estimators as the ...

  1. Program Analyst Job Title: Program Analyst Agency: Department...

    Energy Savers [EERE]

    the Intelligence Community (IC) - indeed, they benefit the entire U.S. Government, U.S. economic competitiveness and U.S. national security. This position requires Q clearance...

  2. Competence-Driven Project Portfolio Selection, Scheduling and Staff Assignment

    E-Print Network [OSTI]

    Gutjahr, Walter

    ensure an effective and efficient use of substantial resources. Research and development (R&D) investment) Department of Business Administration, University of Vienna, Bruenner Str. 72, 1210 Vienna, Austria (3) E-Commerce Competence Center, Donau-City Str. 1, 1220 Vienna, Austria Abstract: This paper presents a new model

  3. Model documentation coal market module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    This report documents the objectives and the conceptual and methodological approach used in the development of the Coal Production Submodule (CPS). It provides a description of the CPS for model analysts and the public. The Coal Market Module provides annual forecasts of prices, production, and consumption of coal.

  4. Student Trainee (Operations Research Analyst)

    Broader source: Energy.gov [DOE]

    This position is being filled under the Pathways Internship Program. The program is designed to provide students enrolled in a wide variety of educational institutions, from high school to graduate...

  5. Essays on financial analysts' forecasts

    E-Print Network [OSTI]

    Rodriguez, Marius del Giudice

    2006-01-01T23:59:59.000Z

    Cons. Dur. Other Utils Enrgy Hlth BusEq Money Telcm ManufCons. NonDur. Utils Other Enrgy negative outlier. AverageNonDur. Cons. Dur. Manuf Enrgy Chems BusEq Telcm Utils Shops

  6. Essays on financial analysts' forecasts

    E-Print Network [OSTI]

    Rodriguez, Marius del Giudice

    2006-01-01T23:59:59.000Z

    for Caterpillar (CAT) and The Coca-Cola Company (KO) duringJohnson & Johnson The Coca-Cola Company McDonald’sfor Caterpillar and Coca Cola. Variations in the short

  7. Recent Graduate Energy Industry Analyst

    Broader source: Energy.gov [DOE]

    This position is located in the Office of Enforcement - Division of Analytics and Surveillance. The Office of Enforcement serves the public interest by ensuring effective regulations and protecting...

  8. Essays on financial analysts' forecasts

    E-Print Network [OSTI]

    Rodriguez, Marius del Giudice

    2006-01-01T23:59:59.000Z

    3.5 Econometric Framework . . . . . . .under Asymmet- ric Loss,” Econometric Theory, 13, 808–817. CSection 3.5 lays out the econometric framework, adapted from

  9. Patricia Hagerty, Aviation Program Analyst

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse(Expired) |CERCLA ProcessDepartmentPastPatricia A. Hoffman,

  10. Power Transfer Potential to the Southeast in Response to a Renewable Portfolio Standard: Interim Report 2

    SciTech Connect (OSTI)

    Hadley, Stanton W [ORNL; Key, Thomas S [Electric Power Research Institute (EPRI); Deb, Rajat [LCG Consulting

    2009-05-01T23:59:59.000Z

    Electricity consumption in the Southeastern US, not including Florida, is approximately 24% of the total US. The availability of renewable resources for electricity production is relatively small compared to the high consumption. Therefore meeting a national renewable portfolio standard (RPS) is particularly challenging in this region. Neighboring regions, particularly to the west, have significant wind resources and given sufficient long distant transmission these resources could serve energy markets in the SE. This report looks at renewable resource supply relative to demands and the potential for power transfer into the SE. It shows that development of wind resources will depend not only on available transmission capacity but also on electricity supply and demand factors.

  11. Attachment J-16 Portfolio Management Task Order 13-003 Revision 1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational ManagementDemand6 Department ofJ-16 Portfolio

  12. A Pattern-based Approach to Business Process Modeling and Implementation in Web Services

    E-Print Network [OSTI]

    Bordbar, Behzad

    A Pattern-based Approach to Business Process Modeling and Implementation in Web Services Steen are used for tool based model transformations of the business processes. To support our approach, we shall effort of different groups of experts; business analysts model the process at a high conceptual level

  13. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-02-01T23:59:59.000Z

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This report serves three purposes. First, it is a reference document providing a detailed description for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, section 57(b)(1)). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  14. Power Transfer Potential to the Southeast in Response to a Renewable Portfolio Standard: Final Report

    SciTech Connect (OSTI)

    Key, Thomas S [Electric Power Research Institute (EPRI); Hadley, Stanton W [ORNL; Deb, Rajat [LCG Consulting

    2010-02-01T23:59:59.000Z

    Electricity consumption in the Southeastern US, including Florida, is approximately 32% of the total US. The availability of renewable resources for electricity production is relatively small compared to the high consumption. Therefore meeting a national renewable portfolio standard (RPS) is particularly challenging in this region. Neighboring regions, particularly to the west, have significant wind resources and given sufficient transmission these resources could serve energy markets in the SE. This report looks at renewable resource supply relative to demands and the potential for power transfer into the SE. We found that significant wind energy transfers, at the level of 30-60 GW, are expected to be economic in case of federal RPC or CO2 policy. Development of wind resources will depend not only on the available transmission capacity and required balancing resources, but also on electricity supply and demand factors.

  15. The department maintains for each student a portfolio of assignments that received a failing grade in the courses identified for each outcome. In addition, the department

    E-Print Network [OSTI]

    Fernandez, Eduardo

    mechanics; transportation; and environmental engineering). Student portfolios will include failing grades: Environmental Science and Engineering CEG 3011C: Soil Mechanics CES 3102: Analysis of Structures TTE 4004 OF CIVIL, ENVIRONMENTAL & GEOMATICS ENGINEERING #12;COMMUNICATION (Written Communication; Oral

  16. Optimization Models in Finance (26:711:564) Andrzej Ruszczynski

    E-Print Network [OSTI]

    Lin, Xiaodong

    Optimization Models in Finance (26:711:564) Andrzej Ruszczynski Objectives The objective of this course is to introduce models and computational methods for static and dynamic optimization problems occurring in finance. Special attention will be devoted to portfolio optimization and to risk management

  17. A portfolio analysis of grain options and futures in hedging context with a comparison of Quadratic Programming, MOTAD and Target MOTAD

    E-Print Network [OSTI]

    Ferdinandsen, John

    1988-01-01T23:59:59.000Z

    A PORTFOLIO ANALYSIS OF GRAIN OPTIONS AND FUTURES IN A HEDGING CONTEXT WITH A COMPARISON OF QUADRATIC PROGRAMMING, MOTAD AND TARGET MOTAD A THESIS JOHN FERDINANDSEN Submitted to the Office of Graduate Studies of Texas A8dd University... in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December, 1988 Major Subject: Agricultural Economics A PORTFOLIO ANALYSIS OF GRAIN OPTIONS AND FUTURES IN A HEDGING CONTEXT WITH A COMPARISON OF QUADRATIC PROGRfaiIING, MOTAD...

  18. Sixth Northwest Conservation and Electric Power Plan Appendix J: The Regional Portfolio Model

    E-Print Network [OSTI]

    ......................................................................................... 32 Quantitative Risk Analysis

  19. A credit risk management model for a portfolio of low-income consumer loans in Mexico

    E-Print Network [OSTI]

    Jiménez Montesinos, Jorge Alberto

    2014-01-01T23:59:59.000Z

    Low-income consumer lending (LICL) in Latin America has experienced a boom in recent years. This has attracted the interest of a large number of financial players eager to capture a portion in this still under-banked ...

  20. Stochastic Optimization of Electricity Portfolios: Scenario Tree Modeling and Risk Management

    E-Print Network [OSTI]

    Eichhorn, Andreas

    of risk manage- ment into power production planning and trading based on stochastic programming. In energy and (physical) power trading. Moreover, risk management and stochastic optimization rest upon the same type of stochastic programming with regard to application in power management. In particular we discuss issues

  1. Quantitative Easing: A Model-Free Investigation of the Portfolio Balance Channel

    E-Print Network [OSTI]

    Hickman, Mark

    has turned to unconventional methods in an attempt to stimulate economic growth and raise employment, unconventional monetary policy, zero lower bound, risk premium. The views expressed her are the author's and do. As the supply of bank reserves increased, the effective federal funds rate declined significantly falling

  2. Valuing Groundwater Services and Water Portfolio in Irrigated Agriculture with a Hedonic Pricing Model

    E-Print Network [OSTI]

    Mukherjee, Monobina

    2013-01-01T23:59:59.000Z

    2647-2668. Surface and Groundwater. 2012. U.S. EnvironmentalEstimating the Value of Groundwater in Irrigation, SelectedAgricultural adaptation to groundwater and climate. NBER

  3. Valuing Groundwater Services and Water Portfolio in Irrigated Agriculture with a Hedonic Pricing Model

    E-Print Network [OSTI]

    Mukherjee, Monobina

    2013-01-01T23:59:59.000Z

    Impact of Climate Change on Irrigated Agriculture inimpact of climate change on irrigated agriculture inimpacts of climate change in agriculture, it is essential to

  4. Model documentation report: Residential sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-03-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document providing a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  5. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01T23:59:59.000Z

    business model for energy efficiency Historically, utilities in Arizona have been allowed to recover prudently incurred EE program costs;costs. We presented a comprehensive business model to achieve aggressive energyCosts Net Benefits Figure 1 Flowchart for analyzing impacts of portfolio of energy efficiency programs on stakeholders Model Inputs Business-

  6. Results of a Technical Review of the U.S. Climate Change Technology Program's R&D Portfolio

    SciTech Connect (OSTI)

    Brown, Marilyn A [ORNL

    2006-07-01T23:59:59.000Z

    The U.S. Climate Change Technology Program (CCTP) is a multi-agency planning and coordinating entity, led by the U.S. Department of Energy that aims to accelerate the development and facilitate the adoption of technologies to address climate change. In late 2005, CCTP asked Oak Ridge National Laboratory and Energetics Incorporated to organize and coordinate a review of the CCTP R&D portfolio using structured workshops. Each workshop focused on one of CCTP's six strategic goals: 1.Reduce emissions from energy end-use and infrastructure 2.Reduce emissions from energy supply 3.Capture and sequester carbon dioxide 4.Reduce emissions of non-CO2 greenhouse gases (GHG) 5.Improve capabilities to measure and monitor GHG emissions 6.Bolster basic science contributions to technology development To promote meaningful dialogue while ensuring broad coverage, a group of broadly experienced professionals with expertise in fields relevant to each CCTP goal were asked to participate in the portfolio reviews and associated workshops. A total of 75 experts participated in the workshops; 60 of these participants represented non-Federal organizations. This report summarizes the findings of the workshops and the results of the Delphi assessment of the CCTP R&D portfolio.

  7. Innovative Corridors Initiative: Business Model Analysis

    E-Print Network [OSTI]

    Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.

    2007-01-01T23:59:59.000Z

    variety of services. All service contracts and constructioncontract managers and service contract analysts work closely

  8. Reducing Transaction Costs for Energy Efficiency Investments and Analysis of Economic Risk Associated With Building Performance Uncertainties: Small Buildings and Small Portfolios Program

    SciTech Connect (OSTI)

    Langner, R.; Hendron, B.; Bonnema, E.

    2014-08-01T23:59:59.000Z

    The small buildings and small portfolios (SBSP) sector face a number of barriers that inhibit SBSP owners from adopting energy efficiency solutions. This pilot project focused on overcoming two of the largest barriers to financing energy efficiency in small buildings: disproportionately high transaction costs and unknown or unacceptable risk. Solutions to these barriers can often be at odds, because inexpensive turnkey solutions are often not sufficiently tailored to the unique circumstances of each building, reducing confidence that the expected energy savings will be achieved. To address these barriers, NREL worked with two innovative, forward-thinking lead partners, Michigan Saves and Energi, to develop technical solutions that provide a quick and easy process to encourage energy efficiency investments while managing risk. The pilot project was broken into two stages: the first stage focused on reducing transaction costs, and the second stage focused on reducing performance risk. In the first stage, NREL worked with the non-profit organization, Michigan Saves, to analyze the effects of 8 energy efficiency measures (EEMs) on 81 different baseline small office building models in Holland, Michigan (climate zone 5A). The results of this analysis (totaling over 30,000 cases) are summarized in a simple spreadsheet tool that enables users to easily sort through the results and find appropriate small office EEM packages that meet a particular energy savings threshold and are likely to be cost-effective.

  9. The Costs and Benefits of Compliance with Renewable Portfolio Standards: Reviewing Experience to Date

    SciTech Connect (OSTI)

    Heeter, Jenny; Barbose, Galen; Bird, Lori; Weaver, Samantha; Flores, Francisco; Kuskova-Burns, Ksenia; Wiser, Ryan

    2014-03-12T23:59:59.000Z

    More than half of U.S. states have renewable portfolio standards (RPS) in place and have collectively deployed approximately 46,000 MW of new renewable energy capacity through year-end 2012. Most of these policies have five or more years of implementation experience, enabling an assessment of their costs and benefits. Understanding RPS benefits and costs is essential for policymakers evaluating existing RPS policies, assessing the need for modifications, and considering new policies. A key aspect of this study is the comprehensive review of existing RPS cost and benefit estimates, in addition to an examination of the variety of methods used to calculate such estimates. Based on available data and estimates reported by utilities and regulators, this study summarizes RPS costs to date. The study considers how those costs may evolve going forward, given scheduled increases in RPS targets and cost containment mechanisms incorporated into existing policies. The report also summarizes RPS benefits estimates, based on published studies for individual states, and discusses key methodological considerations.

  10. Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards

    SciTech Connect (OSTI)

    Heeter, J.; Barbose, G.; Bird, L.; Weaver, S.; Flores-Espino, F.; Kuskova-Burns, K.; Wiser, R.

    2014-05-01T23:59:59.000Z

    Most renewable portfolio standards (RPS) have five or more years of implementation experience, enabling an assessment of their costs and benefits. Understanding RPS costs and benefits is essential for policymakers evaluating existing RPS policies, assessing the need for modifications, and considering new policies. This study provides an overview of methods used to estimate RPS compliance costs and benefits, based on available data and estimates issued by utilities and regulators. Over the 2010-2012 period, average incremental RPS compliance costs in the United States were equivalent to 0.8% of retail electricity rates, although substantial variation exists around this average, both from year-to-year and across states. The methods used by utilities and regulators to estimate incremental compliance costs vary considerably from state to state and a number of states are currently engaged in processes to refine and standardize their approaches to RPS cost calculation. The report finds that state assessments of RPS benefits have most commonly attempted to quantitatively assess avoided emissions and human health benefits, economic development impacts, and wholesale electricity price savings. Compared to the summary of RPS costs, the summary of RPS benefits is more limited, as relatively few states have undertaken detailed benefits estimates, and then only for a few types of potential policy impacts. In some cases, the same impacts may be captured in the assessment of incremental costs. For these reasons, and because methodologies and level of rigor vary widely, direct comparisons between the estimates of benefits and costs are challenging.

  11. Supporting Solar Power in Renewables Portfolio Standards: Experience from the United States

    SciTech Connect (OSTI)

    Wiser, Ryan; Barbose, Galen; Holt, Edward

    2010-10-01T23:59:59.000Z

    Among the available options for encouraging the increased deployment of renewable electricity, renewables portfolio standards (RPS) have become increasingly popular. The RPS is a relatively new policy mechanism, however, and experience with its use is only beginning to emerge. One key concern that has been voiced is whether RPS policies will offer adequate support to a wide range of renewable energy technologies and applications or whether, alternatively, RPS programs will favor a small number of the currently least-cost forms of renewable energy. This report documents the design of and early experience with state-level RPS programs in the United States that have been specifically tailored to encourage a wider diversity of renewable energy technologies, and solar energy in particular. As shown here, state-level RPS programs specifically designed to support solar have already proven to be an important, albeit somewhat modest, driver for solar energy deployment, and those impacts are projected to continue to build in the coming years. State experience in supporting solar energy with RPS programs is mixed, however, and full compliance with existing requirements has not been achieved. The comparative experiences described herein highlight the opportunities and challenges of applying an RPS to specifically support solar energy, as well as the importance of policy design details to ensuring that program goals are achieved.

  12. Renewable Portfolio Standards in the United States - A Status Report with Data Through 2007

    SciTech Connect (OSTI)

    Wiser, Ryan; Wiser, Ryan; Barbose, Galen; Bird, Lori; Churchill, Susannah; Deyette, Jeff; Holt, Ed

    2008-04-09T23:59:59.000Z

    Renewables portfolio standards (RPS) have proliferated at the state level in the United States since the late 1990s. In combination with Federal tax incentives, state RPS requirements have emerged as one of the most important drivers of renewable energy capacity additions. The focus of most RPS activity in the U.S. has been within the states. Nonetheless, the U.S. House of Representatives and Senate have, at different times, each passed versions of a Federal RPS; a Federal RPS, however, has not yet been signed into law. The design of an RPS can and does vary, but at its heart an RPS simply requires retail electricity suppliers (also called load-serving entities, or LSEs) to procure a certain minimum quantity of eligible renewable energy. An RPS establishes numeric targets for renewable energy supply, applies those targets to retail electricity suppliers, and seeks to encourage competition among renewable developers to meet the targets in a least-cost fashion. RPS purchase obligations generally increase over time, and retail suppliers typically must demonstrate compliance on an annual basis. Mandatory RPS policies are backed by various types of compliance enforcement mechanisms, and many--but not all--such policies include the trading of renewable energy certificates (RECs). Renewables portfolio standards are a relatively recent addition to the renewable energy policy landscape, and these policies continue to evolve. Keeping up with the design, early experience, and projected impacts of these programs is a challenge. This report seeks to fill this need by providing basic, factual information on RPS policies in the United States. It focuses on state-level initiatives, though a later section briefly discusses Federal developments as well. The report does not cover municipal-level renewable energy goals, unless required by state law. Similarly, this report focuses on mandatory state RPS requirements, though it also touches on non-binding renewable energy goals, especially when those goals are developed by state law or regulation. This report is the first of what is envisioned to be an ongoing series; as such, it concentrates on key recent developments, while also providing basic information on historical RPS experience and design. The report begins with an overview of state RPS policies: where they have been developed, when, and with what design features. Though most RPS programs are still in their infancy, the report summarizes the early impacts of these policies on renewable energy development, and provides a forecast of possible future impacts. It then turns to the implications of the growing trend towards solar and/or distributed generation set-asides within state RPS programs. Next, the report highlights state RPS compliance levels, enforcement actions, and cost impacts, as well as key developments in REC markets. Finally, the report provides a brief overview of Federal RPS proposals.

  13. Essays on the Economics of Environmental Issues: The Environmental Kuznets Curve to Optimal Energy Portfolios

    E-Print Network [OSTI]

    Meininger, Aaron G.

    2012-01-01T23:59:59.000Z

    conditional heteroscedastic (GARCH) model to estimate thecovariances. By applying the GARCH model, the authors sought

  14. Model documentation report: Industrial sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

  15. A Drop in the Bucket or a Pebble in a Pond: Commercial Building Partners’ Replication of EEMs Across Their Portfolios

    SciTech Connect (OSTI)

    Antonopoulos, Chrissi A.; Baechler, Michael C.; Dillon, Heather E.

    2014-08-18T23:59:59.000Z

    This study presents findings from questionnaire and interview data investigating replication efforts of Commercial Building Partnership (CBP) partners that worked directly with the Pacific Northwest National Laboratory (PNNL). PNNL partnered with 12 organizations on new and retrofit construction projects as part of the U.S. Department of Energy (DOE) CBP program. PNNL and other national laboratories collaborate with industry leaders that own large portfolios of buildings to develop high performance projects for new construction and renovation. This project accelerates market adoption of commercially available energy saving technologies into the design process for new and upgraded commercial buildings. The labs provide assistance to the partners’ design teams and make a business case for energy investments. From the owner’s perspective, a sound investment results in energy savings based on corporate objectives and design. Through a feedback questionnaire, along with personal interviews, PNNL gathered qualitative and quantitative information relating to replication efforts by each organization. Data through this process were analyzed to provide insight into two primary research areas: 1) CBP partners’ replication efforts of technologies and approaches used in the CBP project to the rest of the organization’s building portfolio (including replication verification), and, 2) the market potential for technology diffusion into the total U.S. commercial building stock, as a direct result of the CBP entire program.

  16. Proceedings of the 1998 USCOLD Annual Lecture, Buffalo, New York. August 1998 PORTFOLIO RISK ASSESSMENT: A TOOL FOR DAM SAFETY RISK MANAGEMENT

    E-Print Network [OSTI]

    Bowles, David S.

    ASSESSMENT: A TOOL FOR DAM SAFETY RISK MANAGEMENT David S. Bowles1 , Loren R. Anderson2 , Terry F. Glover3 on to provide the basis for an effective and efficient program for managing and reducing dam safety risksProceedings of the 1998 USCOLD Annual Lecture, Buffalo, New York. August 1998 PORTFOLIO RISK

  17. MSU Friday Audition/Portfolio Scholarships 2012 -School of Film & Photography The School of Film and Photography expects to have scholarship monies

    E-Print Network [OSTI]

    Dyer, Bill

    MSU Friday Audition/Portfolio Scholarships 2012 - School of Film & Photography The School of Film of the written statement, originality, creative energy, and relative accomplishment of the work submitted no later than 4:00 p.m., Friday, January 27, 2012 addressed to: Montana State University-Bozeman School

  18. MSU Friday Audition/Portfolio Scholarships 2013 -School of Film & Photography The School of Film and Photography expects to have scholarship monies available to award to

    E-Print Network [OSTI]

    Dyer, Bill

    MSU Friday Audition/Portfolio Scholarships 2013 - School of Film & Photography The School of Film on the written statement, originality, creative energy, and relative accomplishment of the work submitted no later than 4:00 p.m., Friday, January 25, 2013 addressed to: Montana State University-Bozeman School

  19. Propane Market Model documentation report

    SciTech Connect (OSTI)

    Not Available

    1993-12-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Propane Market Model (PMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM performs a short-term (6- to 9-months) forecast of demand and price for consumer-grad propane in the national US market; it also calculates the end-of-month stock level during the term of the forecast. Another part of the model allows for short-term demand forecasts for certain individual Petroleum Administration for Defense (PAD) districts. The model is used to analyze market behavior assumptions or shocks and to determine the effect on market price, demand, and stock level.

  20. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    NONE

    1996-02-26T23:59:59.000Z

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  1. Business/SystemsAnalyst, Project Analyst or Product Analyst Tracks-Technology Summer Intern Primary Location: Minnetonka, MN

    E-Print Network [OSTI]

    Liblit, Ben

    , pharmaceutical and medical device manufacturers, and more. Join us in the highly demanding Internship Program for continuous learning and the ability to explore different work areas while building a foundation of skills disease management, creating innovative gaming platforms that help people live healthier lives, and many

  2. Improved user interface design for site selection modeling system

    SciTech Connect (OSTI)

    Koffman, L.D. [Westinghouse Savannah River Site, Aiken, SC (United States)

    1996-12-31T23:59:59.000Z

    The Site Selection Modeling System (SSMS) is a customized application within the Environmental Data Atlas (EDA), which is an integrated geographic information system (GIS) for environmental applications at the Savannah River site (SRS) developed jointly by the Environmental Sciences Section (ESS) of Westinghouse Savannah River Company and by the University of South Carolina (USC). The SSMS was developed to assist analysts with site selection activities carried out by the ESS and is a powerful tool with a graphical user interface that allows non-GIS analysts to use the application. However, use of the SSMS in recent siting exercises revealed deficiencies in the user interface as a production tool. This paper specifies user interface design criteria necessary for a production application and describes the implementation of these design criteria in the SSMS.

  3. Constitutive models in LAME.

    SciTech Connect (OSTI)

    Hammerand, Daniel Carl; Scherzinger, William Mark

    2007-09-01T23:59:59.000Z

    The Library of Advanced Materials for Engineering (LAME) provides a common repository for constitutive models that can be used in computational solid mechanics codes. A number of models including both hypoelastic (rate) and hyperelastic (total strain) constitutive forms have been implemented in LAME. The structure and testing of LAME is described in Scherzinger and Hammerand ([3] and [4]). The purpose of the present report is to describe the material models which have already been implemented into LAME. The descriptions are designed to give useful information to both analysts and code developers. Thus far, 33 non-ITAR/non-CRADA protected material models have been incorporated. These include everything from the simple isotropic linear elastic models to a number of elastic-plastic models for metals to models for honeycomb, foams, potting epoxies and rubber. A complete description of each model is outside the scope of the current report. Rather, the aim here is to delineate the properties, state variables, functions, and methods for each model. However, a brief description of some of the constitutive details is provided for a number of the material models. Where appropriate, the SAND reports available for each model have been cited. Many models have state variable aliases for some or all of their state variables. These alias names can be used for outputting desired quantities. The state variable aliases available for results output have been listed in this report. However, not all models use these aliases. For those models, no state variable names are listed. Nevertheless, the number of state variables employed by each model is always given. Currently, there are four possible functions for a material model. This report lists which of these four methods are employed in each material model. As far as analysts are concerned, this information is included only for the awareness purposes. The analyst can take confidence in the fact that model has been properly implemented and the methods necessary for achieving accurate and efficient solutions have been incorporated. The most important method is the getStress function where the actual material model evaluation takes place. Obviously, all material models incorporate this function. The initialize function is included in most material models. The initialize function is called once at the beginning of an analysis and its primary purpose is to initialize the material state variables associated with the model. Many times, there is some information which can be set once per load step. For instance, we may have temperature dependent material properties in an analysis where temperature is prescribed. Instead of setting those parameters at each iteration in a time step, it is much more efficient to set them once per time step at the beginning of the step. These types of load step initializations are performed in the loadStepInit method. The final function used by many models is the pcElasticModuli method which changes the moduli that are to be used by the elastic preconditioner in Adagio. The moduli for the elastic preconditioner are set during the initialization of Adagio. Sometimes, better convergence can be achieved by changing these moduli for the elastic preconditioner. For instance, it typically helps to modify the preconditioner when the material model has temperature dependent moduli. For many material models, it is not necessary to change the values of the moduli that are set initially in the code. Hence, those models do not have pcElasticModuli functions. All four of these methods receive information from the matParams structure as described by Scherzinger and Hammerand.

  4. BUSINESS ANALYST: A BRIDGE Information Technology

    E-Print Network [OSTI]

    Kundu, Sukhamay

    . · Interfaces with IT-development throughout the software develop- ment life-cycle (SDLC) to make sure the right product is devel- oped and all requirements are met. · Manages changes in requirements during SDLC. #12 the requirements BA-process spans the whole SDLC. #12;

  5. Program Analyst, GS-0343-14

    Broader source: Energy.gov [DOE]

    Job Announcement Number: 15-0004 Who may apply: Current IN Federal Employees Only Duty Location: 1 vacancy – Washington, DC Metro Area Open Period: April 13, 2015 - April 20, 2015

  6. Program Analyst, GS-0343-13

    Broader source: Energy.gov [DOE]

    Job Announcement Number: 15-0005 Who may apply: Current IN Federal Employees Only Duty Location: 1 vacancy – Washington, DC Metro Area Open Period: April 16, 2015 - April 23, 2015

  7. Supervisory Management & Program Analyst (Operations Supervisor)

    Broader source: Energy.gov [DOE]

    EEREs mission is to create and sustain American leadership in the global transition to a clean energy economy through high-impact research, development, and demonstration and by breaking down...

  8. Pre Award Post Award Analyst Grant Specialist

    E-Print Network [OSTI]

    Rock, Chris

    Electronics Shayne Sims Ashley Styles Smart Grid Energy Center Reda Rafei Ashley Styles TechMRT Center by home Financial Planning Laura Bilbao Melinda Va

  9. Global Industry Analysts | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG Contracting Jump to:Echo,GEF Jump to: navigation,

  10. Integrated Baseline System (IBS) Version 2.0: Models guide

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    The Integrated Baseline System (IBS) is an emergency management planning and analysis tool being developed under the direction of the US Army Nuclear and Chemical Agency. This Models Guide summarizes the IBS use of several computer models for predicting the results of emergency situations. These include models for predicting dispersion/doses of airborne contaminants, traffic evacuation, explosion effects, heat radiation from a fire, and siren sound transmission. The guide references additional technical documentation on the models when such documentation is available from other sources. The audience for this manual is chiefly emergency management planners and analysts, but also data managers and system managers.

  11. EIA model documentation: Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1994-12-30T23:59:59.000Z

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.

  12. STATISTICAL AND ALGORITHM ASPECTS OF OPTIMAL PORTFOLIOS DISSERTATION SUBMITTED TO THE INSTITUTE OF COMPUTATIONAL AND

    E-Print Network [OSTI]

    Stanford University

    , Realized GARCH, for the joint modeling of returns and realized measures of volatility. A key feature GARCH models with a linear or log-linear specication have many attractive features Realized GARCH structure leads to substantial improvements in the empirical t over standard GARCH models

  13. Financing smallholder agribusiness in Zambia: an economic analysis of the ZATAC model

    E-Print Network [OSTI]

    Mwanamambo, Brian Namushi

    2009-05-15T23:59:59.000Z

    .............................................................. 68 Results and Analysis Based on Full Loan Portfolio....................... 68 Analysis of Credit Supply to Currency-Based Portfolio Sub- Groups... ............................................................................................ 77 Regression Results from the Currency-Based Portfolio Sub- Groups ............................................................................................ 81 VI DISCUSSION AND CONCLUSIONS...

  14. The Treatment of Renewable Energy Certificates, EmissionsAllowances, and Green Power Programs in State Renewables PortfolioStandards

    SciTech Connect (OSTI)

    Holt, Edward A.; Wiser, Ryan H.

    2007-04-17T23:59:59.000Z

    Twenty-one states and the District of Columbia have adopted mandatory renewables portfolio standards (RPS) over the last ten years. Renewable energy attributes-such as the energy source, conversion technology, plant location and vintage, and emissions-are usually required to verify compliance with these policies, sometimes through attributes bundled with electricity, and sometimes with the attributes unbundled from electricity and traded separately as renewable energy certificates (RECs). This report summarizes the treatment of renewable energy attributes in state RPS rules. Its purpose is to provide a source of information for states considering RPS policies, and also to draw attention to certain policy issues that arise when renewable attributes and RECs are used for RPS compliance. Three specific issues are addressed: (1) the degree to which unbundled RECs are allowed under existing state RPS programs and the status of systems to track RECs and renewable energy attributes; (2) definitions of the renewable energy attributes that must be included in order to meet state RPS obligations, including the treatment of available emissions allowances; and (3) state policies on whether renewable energy or RECs sold through voluntary green power transactions may count towards RPS obligations.

  15. Model documentation renewable fuels module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1997 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs. and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves three purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Finally, such documentation facilitates continuity in EIA model development by providing information sufficient to perform model enhancements and data updates as part of EIA`s ongoing mission to provide analytical and forecasting information systems.

  16. Chapter XIII: PORTFOLIO ASSESSMENT Portfolio Assessment

    E-Print Network [OSTI]

    Gering, Jon C.

    in which students reflect on ways they have changed while at Truman and offers any other thoughts they care documents and in curriculum review. Some faculty use the information to reform their curriculum, improve Economics 6 English 103 English: Linguistics 3 Exercise Science 63 French 14 German 2 Health Science 44

  17. The RENEWABLES PORTFOLIO STANDARD RENEWABLES PORTFOLIO STANDARD |

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy Solar

  18. EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1

    SciTech Connect (OSTI)

    Not Available

    1994-04-11T23:59:59.000Z

    This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts. Broadly, the manual covers WORLD model features in progressively increasing detail. Section 2 provides an overview of the WORLD model, how it has evolved, what its design goals are, what it produces, and where it can be taken with further enhancements. Section 3 reviews model management covering data sources, managing over-optimization, calibration and seasonality, check-points for case construction and common errors. Section 4 describes in detail the WORLD system, including: data and program systems in overview; details of mainframe and PC program control and files;model generation, size management, debugging and error analysis; use with different optimizers; and reporting and results analysis. Section 5 provides a detailed description of every WORLD model data table, covering model controls, case and technology data. Section 6 goes into the details of WORLD matrix structure. It provides an overview, describes how regional definitions are controlled and defines the naming conventions for-all model rows, columns, right-hand sides, and bounds. It also includes a discussion of the formulation of product blending and specifications in WORLD. Several Appendices supplement the main sections.

  19. Shifts in Portfolio Preferences of International Investors: An Application to Sovereign Wealth Funds

    E-Print Network [OSTI]

    Sá, F; Viani, F

    if investors had responded by reducing their holdings of US assets. However, while foreign investors did sell US equities and corporate debt during the crisis, their demand for US government debt increased sharply. This suggests that, even though the crisis... the model works, we use it to analyse the implications of an expansion in Sovereign Wealth Funds (SWFs). SWFs are government-owned investment funds, set up for a variety of purposes, for example to transform the income from non-renewable natural resources...

  20. RELAP5/MOD2 models and correlations

    SciTech Connect (OSTI)

    Dimenna, R.A.; Larson, J.R.; Johnson, R.W.; Larson, T.K.; Miller, C.S.; Streit, J.E.; Hanson, R.G.; Kiser, D.M.

    1988-08-01T23:59:59.000Z

    A review of the RELAP5/MOD2 computer code has been performed to assess the basis for the models and correlations comprising the code. The review has included verification of the original data base, including thermodynamic, thermal-hydraulic, and geothermal conditions; simplifying assumptions in implementation or application; and accuracy of implementation compared to documented descriptions of each of the models. An effort has been made to provide the reader with an understanding of what is in the code and why it is there and to provide enough information that an analyst can assess the impact of the correlation or model on the ability of the code to represent the physics of a reactor transient. Where assessment of the implemented versions of the models or correlations has been accomplished and published, the assessment results have been included.

  1. Micro Ion Source Program NA22 Plutonium Detection Portfolio Final Report

    SciTech Connect (OSTI)

    James E. Delmore

    2010-09-01T23:59:59.000Z

    The purpose of the micro ion source program was to enhance the performance of thermal ionization mass spectrometry (TIMS) for various actinides and fission products. The proposal hypothesized that when ions are created at the ion optic center of the mass spectrometer, ion transmission is significantly increased and the resulting ion beam is more sharply focused. Computer modeling demonstrated this logic. In order to prove this hypothesis it was first necessary to understand the chemistry and physics governing the particular ion production process that concentrates the emission of ions into a small area. This has been achieved for uranium and technetium, as was shown in the original proposal and the improvement of both the beam transmission and sharpness of focus were proven. Significantly improved analytical methods have been developed for these two elements based upon this research. The iodine portion of the proposal turned out to be impractical due to volatility of iodine and its compounds. We knew this was a possibility prior to research and we proceeded anyway but did not succeed. Plutonium is a potential option, but is not quite up to the performance level of resin beads. Now, we more clearly understand the chemical and physical issues for plutonium, but have not yet translated this knowledge into improved analytical processes. The problems are that plutonium is considerably more difficult to convert to the required intermediate species, plutonium carbide, and the chemical method we developed that works with uranium functions only moderately well with plutonium. We are of the opinion that, with this knowledge, similar progress can be made with plutonium.

  2. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

  3. Modelling and evaluating against the violent insider

    SciTech Connect (OSTI)

    Fortney, D.S.; Al-Ayat, R.A.; Saleh, R.A.

    1991-07-01T23:59:59.000Z

    The violent insider threat poses a special challenge to facilities protecting special nuclear material from theft or diversion. These insiders could potentially behave as nonviolent insiders to deceitfully defeat certain safeguards elements and use violence to forcefully defeat hardware or personnel. While several vulnerability assessment tools are available to deal with the nonviolent insider, very limited effort has been directed to developing analysis tools for the violent threat. In this paper, we present an approach using the results of a vulnerability assessment for nonviolent insiders to evaluate certain violent insider scenarios. Since existing tools do not explicitly consider violent insiders, the approach is intended for experienced safeguards analysts and relies on the analyst to brainstorm possible violent actions, to assign detection probabilities, and to ensure consistency. We then discuss our efforts in developing an automated tool for assessing the vulnerability against those violent insiders who are willing to use force against barriers, but who are unwilling to kill or be killed. Specifically, we discuss our efforts in developing databases for violent insiders penetrating barriers, algorithms for considering the entry of contraband, and modelling issues in considering the use of violence.

  4. Model building techniques for analysis.

    SciTech Connect (OSTI)

    Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.

    2009-09-01T23:59:59.000Z

    The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.

  5. Renewable Portfolio Standard

    E-Print Network [OSTI]

    Hydroelectric Project as its original baseline eligible renewable energy resource project, and MID also hydroelectric unit, the Stone Drop Electric Generation Station (the Stone Drop Station). The Stone Drop

  6. Marketing Portfolio Bryan Huang

    E-Print Network [OSTI]

    de Lijser, Peter

    County Parks. In addition, my work experience at Winpak Manufacturing has developed my skills related manufacturing company in Taiwan, I have gained a valuable understanding of global business operations

  7. COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    pipeline, conduit hydroelectric, digester gas, electrolysis, eligibility, energy storage, fuel cell thermal, supplemental energy payments, tidal current, tradable renewable energy credits, TRECs, water Guidebook APRIL 2013 CEC3002013005ED7CMF CALIFORNIA ENERGY COMMISSION Edmund G. Brown Jr., Governor

  8. COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    pipeline, conduit hydroelectric, digester gas, electrolysis, eligibility, energy storage, fuel cell thermal, supplemental energy payments, tidal current, tradable renewable energy credits, TRECs, water Guidebook APRIL 2013 CEC3002013005ED7CMFREV CALIFORNIA ENERGY COMMISSION Edmund G. Brown Jr., Governor

  9. COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    for tracking and verifying compliance with the RPS. Keywords: Biodiesel, biogas, biomass, biomethane, pipeline biomethane, power purchase agreement, Qualified Reporting Entity, RECs, renewable energy

  10. COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    compliance with the RPS. Keywords: Biodiesel, biogas, biomass, biomethane, certificates, certification, hydrogen, landfill gas, multifuel, municipal solid waste, ocean wave, photovoltaic, pipeline biomethane

  11. COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    . Keywords: Biodiesel, biogas, biomass, biomethane, certificates, certification, conduit hydroelectric, multifuel, municipal solid waste, ocean wave, photovoltaic, pipeline biomethane, power purchase agreement

  12. Renewables Portfolio Standard

    Broader source: Energy.gov [DOE]

    Note: In July 2012 New Jersey enacted S.B. 1925 substantially revising its solar carve-out. The summary below incorporates information on the changes made to the solar carve-out as well as the...

  13. Alternative Energy Portfolio Standard

    Broader source: Energy.gov [DOE]

    In July 2008, Governor Patrick signed a major energy reform bill, the [http://www.malegislature.gov/Laws/SessionLaws/Acts/2008/Chapter169 Green Communities Act (S.B. 2768)]. As part of that...

  14. Current Research Portfolio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration would likeConstitution4 Department ofDepartmentPower-Rates Sign In About

  15. Xcel Energy REC Portfolio

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015Visiting Strong,Women @Join theGeothermalWritten Statement ofXcel

  16. Green Leasing Deployment Portfolio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), Geothermal TechnologiesGeothermalGoGreat Green GasolineGreenGreen

  17. Gasification Systems Portfolio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof EnergyFunding OpportunityF2015 Gasification Systems

  18. CLEERS Aftertreatment Modeling and Analysis

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

    National Lab partners, the CLEERS industrialacademic team and in coordination with our CRADA portfolio, PNNL will... ...provide the practical scientific understanding and...

  19. CLEERS Aftertreatment Modeling and Analysis

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

    National Lab partners, the CLEERS industrialacademic team and in coordination with our CRADA portfolio, PNNL will... ...provide the practical & scientific understanding and...

  20. Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West; Report and Executive Summary

    SciTech Connect (OSTI)

    Hurlbut, D. J.; McLaren, J.; Gelman, R.

    2013-08-01T23:59:59.000Z

    This study assesses the outlook for utility-scale renewable energy development in the West once states have met their renewable portfolio standard (RPS) requirements. In the West, the last state RPS culminates in 2025, so the analysis uses 2025 as a transition point on the timeline of RE development. Most western states appear to be on track to meet their final requirements, relying primarily on renewable resources located relatively close to the customers being served. What happens next depends on several factors including trends in the supply and price of natural gas, greenhouse gas and other environmental regulations, consumer preferences, technological breakthroughs, and future public policies and regulations. Changes in any one of these factors could make future renewable energy options more or less attractive.

  1. Petroleum Market Model of the National Energy Modeling System. Part 1

    SciTech Connect (OSTI)

    NONE

    1997-12-18T23:59:59.000Z

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.

  2. DOE Commercial Building Benchmark Models: Preprint

    SciTech Connect (OSTI)

    Torcelini, P.; Deru, M.; Griffith, B.; Benne, K.; Halverson, M.; Winiarski, D.; Crawley, D. B.

    2008-07-01T23:59:59.000Z

    To provide a consistent baseline of comparison and save time conducting such simulations, the U.S. Department of Energy (DOE) has developed a set of standard benchmark building models. This paper will provide an executive summary overview of these benchmark buildings, and how they can save building analysts valuable time. Fully documented and implemented to use with the EnergyPlus energy simulation program, the benchmark models are publicly available and new versions will be created to maintain compatibility with new releases of EnergyPlus. The benchmark buildings will form the basis for research on specific building technologies, energy code development, appliance standards, and measurement of progress toward DOE energy goals. Having a common starting point allows us to better share and compare research results and move forward to make more energy efficient buildings.

  3. Weighing the Costs and Benefits of Renewables Portfolio Standards: A Comparative Analysis of State-Level Policy Impact Projections

    E-Print Network [OSTI]

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-01T23:59:59.000Z

    wholesale electricity price projections as a model output.in natural gas prices projections over the past severalprojections of renewable technology cost, fossil fuel price

  4. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    NONE

    1994-02-24T23:59:59.000Z

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  5. Modeling and Simulating Blast Effects on Electric Substations

    SciTech Connect (OSTI)

    Lyle G. Roybal; Robert F. Jeffers; Kent E. McGillivary; Tony D. Paul; Ryan Jacobson

    2009-05-01T23:59:59.000Z

    A software simulation tool was developed at the Idaho National Laboratory to estimate the fragility of electric substation components subject to an explosive blast. Damage caused by explosively driven fragments on a generic electric substation was estimated by using a ray-tracing technique to track and tabulate fragment impacts and penetrations of substation components. This technique is based on methods used for assessing vulnerability of military aircraft and ground vehicles to explosive blasts. An open-source rendering and ray-trace engine was used for geometric modeling and interactions between fragments and substation components. Semi-empirical material interactions models were used to calculate blast parameters and simulate high-velocity material interactions between explosively driven fragments and substation components. Finally, a Monte Carlo simulation was added to model the random nature of fragment generation allowing a skilled analyst to predict failure probabilities of substation components.

  6. PLAY ANALYSIS AND DIGITAL PORTFOLIO OF MAJOR OIL RESERVOIRS IN THE PERMIAN BASIN: APPLICATION AND TRANSFER OF ADVANCED GEOLOGICAL AND ENGINEERING TECHNOLOGIES FOR INCREMENTAL PRODUCTION OPPORTUNITIES

    SciTech Connect (OSTI)

    Shirley P. Dutton; Eugene M. Kim; Ronald F. Broadhead; William Raatz; Cari Breton; Stephen C. Ruppel; Charles Kerans; Mark H. Holtz

    2003-04-01T23:59:59.000Z

    A play portfolio is being constructed for the Permian Basin in west Texas and southeast New Mexico, the largest petroleum-producing basin in the US. Approximately 1300 reservoirs in the Permian Basin have been identified as having cumulative production greater than 1 MMbbl of oil through 2000. Of these major reservoirs, approximately 1,000 are in Texas and 300 in New Mexico. On a preliminary basis, 32 geologic plays have been defined for Permian Basin oil reservoirs and assignment of each of the 1300 major reservoirs to a play has begun. The reservoirs are being mapped and compiled in a Geographic Information System (GIS) by play. Detailed studies of three reservoirs are in progress: Kelly-Snyder (SACROC unit) in the Pennsylvanian and Lower Permian Horseshoe Atoll Carbonate play, Fullerton in the Leonardian Restricted Platform Carbonate play, and Barnhart (Ellenburger) in the Ellenburger Selectively Dolomitized Ramp Carbonate play. For each of these detailed reservoir studies, technologies for further, economically viable exploitation are being investigated.

  7. Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

    SciTech Connect (OSTI)

    Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences

    2008-12-01T23:59:59.000Z

    The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.

  8. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  9. Supervisory, Program Analyst (Division Director), GS-343-15

    Broader source: Energy.gov [DOE]

    Job Announcement Number: 15-0008 Who may apply: Current IN Federal Employees Only Duty Location: 1 vacancy – Washington, DC Metro Area Open Period: May 13, 2015 - May 27, 2015

  10. Market perceptions of efficiency and news in analyst forecast errors

    E-Print Network [OSTI]

    Chevis, Gia Marie

    2004-11-15T23:59:59.000Z

    .1668 (2.49) 3.71*** 21 Table 2, Continued Panel C: Twelve-quarter horizon MEET NONMEET T-test nonmeet?? = UP 0.0002 (1.74) -0.0006 (-1.76) 3.76*** DN 0.0002 (3.55) -0.0007 (-1.59) 3.82*** R*UP 0.0012 (1.82) 0.0000 (0.04) 4... = 13.14% 23 Table 3, Continued Panel B: Four-quarter horizon MEET NONMEET F-test nonmeet?? = UP 0.0005 (6.40) -0.0009 (-8.94) 7.26*** DN 0.0005 (5.19) -0.0008 (-7.35) 3.88** R*UP 0.0006 (1.33) 0.0003 (0.58) 0.16 R*DN -0...

  11. e relevance of security analyst opinions for investment decisions

    E-Print Network [OSTI]

    Utrecht, Universiteit

    economics and enthusiastic about investments in particular. During the dot-com bubble (at that time I had never heard of bubbles, and simply thought I was an excellent stock-picker), I was already studying

  12. REVISED Sr. Business Analyst - Supply Chain Mgmt. (Term Position...

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

    business system. The BA will lead the functional team, including Subject Matter Experts (SME), in reviewing, defining, and recommending changes to business processes for...

  13. REVISED Sr. Business Analyst - Financials (Term Position) | Princeton...

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

    business system. The BA will lead the functional team, including Subject Matter Experts (SME), in reviewing, defining, and recommending changes to business processes for...

  14. Evidence, Pricing & Access Analyst HERON Evidence Development Ltd 1

    E-Print Network [OSTI]

    Adams, Mark

    -functional approach to all projects. HERON can address the needs of clients throughout lifecycle development, from providing early landscape assessments through to post launch lifecycle management strategies and tools

  15. research.stlouisfed.org ResearchAnalystOpportunities

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    as directed by economists. o Programing in statistical packages such as SAS, Gauss, RATS, Stata, Matlab, R Developing spreadsheet macros and programs to facilitate and improve data manipulation and analysis, differential equations, statistics, and at least 2 semesters of calculus. o Experience with computer

  16. 10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig

    Broader source: Energy.gov [DOE]

    Kirsten Orwig shares how her experiences in storm chasing led her to this position at National Renewable Energy Laboratory (NREL) and why understanding meteorology is important for advancing reliable solar and wind energy.

  17. Interdisciplinary Lead Economist/Operations Research Analyst/Survey Statistician

    Broader source: Energy.gov [DOE]

    This position is located within Office of Electricity, Renewables, and Uranium Statistics, Assistant Administrator for Energy Statistics, U.S. Energy Information Administration (EIA). The Office of...

  18. Patricia Hagerty, Aviation Program Analyst - Bio | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMakeEducationRemediation » PaducahPartnership

  19. Career Map: Analyst/Researcher | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Change RequestFirst Report to the

  20. Hydrogen Delivery Analysis Plus Meeting: DTT, STT, HPTT, Other Analysts,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEND D e e& FuelInvited Guests | Department of

  1. REVISED Sr. Business Analyst - Financials (Term Position) | Princeton

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITYResponses:December 11, 2014WD2 MAY2REVIEW OFPlasma

  2. REVISED Sr. Business Analyst - Supply Chain Mgmt. (Term Position) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITYResponses:December 11, 2014WD2 MAY2REVIEW

  3. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01T23:59:59.000Z

    As-Usual; DSM=Demand Side Management; EE=Energy Efficiency;of the demand side management (DSM) portfolio – projectedshareholder returns. 11 4.2 Demand side management portfolio

  4. Some guidance on preparing validation plans for the DART Full System Models.

    SciTech Connect (OSTI)

    Gray, Genetha Anne; Hough, Patricia Diane; Hills, Richard Guy (Sandia National Laboratories, Albuquerque, NM)

    2009-03-01T23:59:59.000Z

    Planning is an important part of computational model verification and validation (V&V) and the requisite planning document is vital for effectively executing the plan. The document provides a means of communicating intent to the typically large group of people, from program management to analysts to test engineers, who must work together to complete the validation activities. This report provides guidelines for writing a validation plan. It describes the components of such a plan and includes important references and resources. While the initial target audience is the DART Full System Model teams in the nuclear weapons program, the guidelines are generally applicable to other modeling efforts. Our goal in writing this document is to provide a framework for consistency in validation plans across weapon systems, different types of models, and different scenarios. Specific details contained in any given validation plan will vary according to application requirements and available resources.

  5. Improved Coefficient Calculator for the California Energy Commission 6 Parameter Photovoltaic Module Model

    SciTech Connect (OSTI)

    Dobos, A. P.

    2012-05-01T23:59:59.000Z

    This paper describes an improved algorithm for calculating the six parameters required by the California Energy Commission (CEC) photovoltaic (PV) Calculator module model. Rebate applications in California require results from the CEC PV model, and thus depend on an up-to-date database of module characteristics. Currently, adding new modules to the database requires calculating operational coefficients using a general purpose equation solver - a cumbersome process for the 300+ modules added on average every month. The combination of empirical regressions and heuristic methods presented herein achieve automated convergence for 99.87% of the 5487 modules in the CEC database and greatly enhance the accuracy and efficiency by which new modules can be characterized and approved for use. The added robustness also permits general purpose use of the CEC/6 parameter module model by modelers and system analysts when standard module specifications are known, even if the module does not exist in a preprocessed database.

  6. An economic feasibility analysis of distributed electric power generation based upon the natural gas-fired fuel cell: a model of a central utility plant.

    SciTech Connect (OSTI)

    Not Available

    1993-06-30T23:59:59.000Z

    This central utilities plant model details the major elements of a central utilities plant for several classes of users. The model enables the analyst to select optional, cost effective, plant features that are appropriate to a fuel cell application. These features permit the future plant owner to exploit all of the energy produced by the fuel cell, thereby reducing the total cost of ownership. The model further affords the analyst an opportunity to identify avoided costs of the fuel cell-based power plant. This definition establishes the performance and capacity information, appropriate to the class of user, to support the capital cost model and the feasibility analysis. It is detailed only to the depth required to identify the major elements of a fuel cell-based system. The model permits the choice of system features that would be suitable for a large condominium complex or a residential institution such as a hotel, boarding school or prison. The user may also select large office buildings that are characterized by 12 to 16 hours per day of operation or industrial users with a steady demand for thermal and electrical energy around the clock.

  7. Modeling the technology mix

    SciTech Connect (OSTI)

    Douglas, J. [EPRI (United States)

    2007-09-30T23:59:59.000Z

    The electricity industry is now actively considering which combination of advanced technologies can best meet CO{sub 2} emissions reduction targets. The fundamental challenge is to develop a portfolio of options that is technically feasible and can provide affordable electricity to customers. As the US industry considers its investments in research, development and demonstration projects, EPRI's PRISM and MERGE analyses address this challenge and point toward a solution that EPRI describes as 'The Full Portfolio'. The PRISM results show much greater use of nuclear power, renewable energy and coal with carbon capture and storage (CCS) towards 2030, and a sharply lower contribution from natural gas and coal without CCS. The MERGE analysis shows that, assuming CCS would not be available, the use of coal would fall off sharply in favour of natural gas and there would be a fall in electricity demand driven by very high prices. With the Full Portfolio, nuclear power and advanced coal generation with CCS reduce emissions to a point where a much lower demand reduction is needed. By 2050 the Full Portfolio will have decarbonized the electricity sector and reduced the impact on electricity prices to below a fifth that of the limited portfolio. 2 figs.

  8. Model documentation: Renewable Fuels Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-04-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it related to the production of the 1994 Annual Energy Outlook (AEO94) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves two purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. Of these six, four are documented in the following chapters: municipal solid waste, wind, solar and biofuels. Geothermal and wood are not currently working components of NEMS. The purpose of the RFM is to define the technological and cost characteristics of renewable energy technologies, and to pass these characteristics to other NEMS modules for the determination of mid-term forecasted renewable energy demand.

  9. Innovative SQA Service Maturity Model using CMMI and ITIL

    E-Print Network [OSTI]

    Shankar, G

    2012-01-01T23:59:59.000Z

    This Journal details a maturity model for SQA services which has been developed during QMS implementation in the IT division of a large multinational organization. The scope of the engagement was to establish a standard set of processes based on CMMI\\textregistered and ITIL\\textregistered Framework across four business verticals scattered in Europe, United States and Asia. The services of Software Quality Analyst (SQA) from different vendors were leveraged to facilitate implementation of processes which was referred to as the Quality Management System (QMS). To co-ordinate and support QMS implementation, a Software Quality Assurance Group (SQAG) was established at the organizational level. Considering the large number of applications, the business verticals proposed that process implementation should be owned and managed by practitioners themselves so that the mass deployment of QMS can be achieved at a faster rate with the same SQA capacity. This called for a need to devise an innovative implementation solut...

  10. Play Analysis and Digital Portfolio of Major Oil Reservoirs in the Permian Basin: Application and Transfer of Advanced Geological and Engineering Technologies for Incremental Production Opportunities

    SciTech Connect (OSTI)

    Shirley P. Dutton; Eugene M. Kim; Ronald F. Broadhead; Caroline L. Breton; William D. Raatz; Stephen C. Ruppel; Charles Kerans

    2004-01-13T23:59:59.000Z

    A play portfolio is being constructed for the Permian Basin in west Texas and southeast New Mexico, the largest onshore petroleum-producing basin in the United States. Approximately 1,300 reservoirs in the Permian Basin have been identified as having cumulative production greater than 1 MMbbl (1.59 x 10{sup 5} m{sup 3}) of oil through 2000. Of these significant-sized reservoirs, approximately 1,000 are in Texas and 300 in New Mexico. There are 32 geologic plays that have been defined for Permian Basin oil reservoirs, and each of the 1,300 major reservoirs was assigned to a play. The reservoirs were mapped and compiled in a Geographic Information System (GIS) by play. The final reservoir shapefile for each play contains the geographic location of each reservoir. Associated reservoir information within the linked data tables includes RRC reservoir number and district (Texas only), official field and reservoir name, year reservoir was discovered, depth to top of the reservoir, production in 2000, and cumulative production through 2000. Some tables also list subplays. Play boundaries were drawn for each play; the boundaries include areas where fields in that play occur but are smaller than 1 MMbbl (1.59 x 10{sup 5} m{sup 3}) of cumulative production. Oil production from the reservoirs in the Permian Basin having cumulative production of >1 MMbbl (1.59 x 10{sup 5} m{sup 3}) was 301.4 MMbbl (4.79 x 10{sup 7} m{sup 3}) in 2000. Cumulative Permian Basin production through 2000 was 28.9 Bbbl (4.59 x 10{sup 9} m{sup 3}). The top four plays in cumulative production are the Northwest Shelf San Andres Platform Carbonate play (3.97 Bbbl [6.31 x 10{sup 8} m{sup 3}]), the Leonard Restricted Platform Carbonate play (3.30 Bbbl [5.25 x 10{sup 8} m{sup 3}]), the Pennsylvanian and Lower Permian Horseshoe Atoll Carbonate play (2.70 Bbbl [4.29 x 10{sup 8} m{sup 3}]), and the San Andres Platform Carbonate play (2.15 Bbbl [3.42 x 10{sup 8} m{sup 3}]). Detailed studies of three reservoirs are in progress: Kelly-Snyder (SACROC unit) in the Pennsylvanian and Lower Permian Horseshoe Atoll Carbonate play, Fullerton in the Leonard Restricted Platform Carbonate play, and Barnhart (Ellenburger) in the Ellenburger Selectively Dolomitized Ramp Carbonate play. For each of these detailed reservoir studies, technologies for further, economically viable exploitation are being investigated.

  11. Computational Human Performance Modeling For Alarm System Design

    SciTech Connect (OSTI)

    Jacques Hugo

    2012-07-01T23:59:59.000Z

    The introduction of new technologies like adaptive automation systems and advanced alarms processing and presentation techniques in nuclear power plants is already having an impact on the safety and effectiveness of plant operations and also the role of the control room operator. This impact is expected to escalate dramatically as more and more nuclear power utilities embark on upgrade projects in order to extend the lifetime of their plants. One of the most visible impacts in control rooms will be the need to replace aging alarm systems. Because most of these alarm systems use obsolete technologies, the methods, techniques and tools that were used to design the previous generation of alarm system designs are no longer effective and need to be updated. The same applies to the need to analyze and redefine operators’ alarm handling tasks. In the past, methods for analyzing human tasks and workload have relied on crude, paper-based methods that often lacked traceability. New approaches are needed to allow analysts to model and represent the new concepts of alarm operation and human-system interaction. State-of-the-art task simulation tools are now available that offer a cost-effective and efficient method for examining the effect of operator performance in different conditions and operational scenarios. A discrete event simulation system was used by human factors researchers at the Idaho National Laboratory to develop a generic alarm handling model to examine the effect of operator performance with simulated modern alarm system. It allowed analysts to evaluate alarm generation patterns as well as critical task times and human workload predicted by the system.

  12. An approach to model validation and model-based prediction -- polyurethane foam case study.

    SciTech Connect (OSTI)

    Dowding, Kevin J.; Rutherford, Brian Milne

    2003-07-01T23:59:59.000Z

    Enhanced software methodology and improved computing hardware have advanced the state of simulation technology to a point where large physics-based codes can be a major contributor in many systems analyses. This shift toward the use of computational methods has brought with it new research challenges in a number of areas including characterization of uncertainty, model validation, and the analysis of computer output. It is these challenges that have motivated the work described in this report. Approaches to and methods for model validation and (model-based) prediction have been developed recently in the engineering, mathematics and statistical literatures. In this report we have provided a fairly detailed account of one approach to model validation and prediction applied to an analysis investigating thermal decomposition of polyurethane foam. A model simulates the evolution of the foam in a high temperature environment as it transforms from a solid to a gas phase. The available modeling and experimental results serve as data for a case study focusing our model validation and prediction developmental efforts on this specific thermal application. We discuss several elements of the ''philosophy'' behind the validation and prediction approach: (1) We view the validation process as an activity applying to the use of a specific computational model for a specific application. We do acknowledge, however, that an important part of the overall development of a computational simulation initiative is the feedback provided to model developers and analysts associated with the application. (2) We utilize information obtained for the calibration of model parameters to estimate the parameters and quantify uncertainty in the estimates. We rely, however, on validation data (or data from similar analyses) to measure the variability that contributes to the uncertainty in predictions for specific systems or units (unit-to-unit variability). (3) We perform statistical analyses and hypothesis tests as a part of the validation step to provide feedback to analysts and modelers. Decisions on how to proceed in making model-based predictions are made based on these analyses together with the application requirements. Updating modifying and understanding the boundaries associated with the model are also assisted through this feedback. (4) We include a ''model supplement term'' when model problems are indicated. This term provides a (bias) correction to the model so that it will better match the experimental results and more accurately account for uncertainty. Presumably, as the models continue to develop and are used for future applications, the causes for these apparent biases will be identified and the need for this supplementary modeling will diminish. (5) We use a response-modeling approach for our predictions that allows for general types of prediction and for assessment of prediction uncertainty. This approach is demonstrated through a case study supporting the assessment of a weapons response when subjected to a hydrocarbon fuel fire. The foam decomposition model provides an important element of the response of a weapon system in this abnormal thermal environment. Rigid foam is used to encapsulate critical components in the weapon system providing the needed mechanical support as well as thermal isolation. Because the foam begins to decompose at temperatures above 250 C, modeling the decomposition is critical to assessing a weapons response. In the validation analysis it is indicated that the model tends to ''exaggerate'' the effect of temperature changes when compared to the experimental results. The data, however, are too few and to restricted in terms of experimental design to make confident statements regarding modeling problems. For illustration, we assume these indications are correct and compensate for this apparent bias by constructing a model supplement term for use in the model-based predictions. Several hypothetical prediction problems are created and addressed. Hypothetical problems are used because no guidance was provided concern

  13. Disease Prediction Models and Operational Readiness

    SciTech Connect (OSTI)

    Corley, Courtney D.; Pullum, Laura L.; Hartley, David M.; Benedum, Corey M.; Noonan, Christine F.; Rabinowitz, Peter M.; Lancaster, Mary J.

    2014-03-19T23:59:59.000Z

    INTRODUCTION: The objective of this manuscript is to present a systematic review of biosurveillance models that operate on select agents and can forecast the occurrence of a disease event. One of the primary goals of this research was to characterize the viability of biosurveillance models to provide operationally relevant information for decision makers to identify areas for future research. Two critical characteristics differentiate this work from other infectious disease modeling reviews. First, we reviewed models that attempted to predict the disease event, not merely its transmission dynamics. Second, we considered models involving pathogens of concern as determined by the US National Select Agent Registry (as of June 2011). Methods: We searched dozens of commercial and government databases and harvested Google search results for eligible models utilizing terms and phrases provided by public health analysts relating to biosurveillance, remote sensing, risk assessments, spatial epidemiology, and ecological niche-modeling, The publication date of search results returned are bound by the dates of coverage of each database and the date in which the search was performed, however all searching was completed by December 31, 2010. This returned 13,767 webpages and 12,152 citations. After de-duplication and removal of extraneous material, a core collection of 6,503 items was established and these publications along with their abstracts are presented in a semantic wiki at http://BioCat.pnnl.gov. Next, PNNL’s IN-SPIRE visual analytics software was used to cross-correlate these publications with the definition for a biosurveillance model resulting in the selection of 54 documents that matched the criteria resulting Ten of these documents, However, dealt purely with disease spread models, inactivation of bacteria, or the modeling of human immune system responses to pathogens rather than predicting disease events. As a result, we systematically reviewed 44 papers and the results are presented in this analysis.

  14. Precautionary Measures for Credit Risk Management in Jump Models

    E-Print Network [OSTI]

    Egami, Masahiko

    2011-01-01T23:59:59.000Z

    Sustaining efficiency and stability by properly controlling the equity to asset ratio is one of the most important and difficult challenges in bank management. Due to unexpected and abrupt decline of asset values, a bank must closely monitor its net worth as well as market conditions, and one of its important concerns is when to raise more capital so as not to violate capital adequacy requirements. In this paper, we model the tradeoff between avoiding costs of delay and premature capital raising, and solve the corresponding optimal stopping problem. In order to model defaults in a bank's loan/credit business portfolios, we represent its net worth by Levy processes, and solve explicitly for the double exponential jump diffusion process and for a general spectrally negative Levy process.

  15. A better renewable portfolio standard

    SciTech Connect (OSTI)

    Casten, Sean

    2009-06-15T23:59:59.000Z

    It's time to throw out our RPS, throw out our Energy Efficiency Resource Standard, throw out all our definitions of eligible technologies, and replace them all with a single, clear incentive paid to any power plant that reduces our demand for fossil resources, pro rata with the fossil energy reduction: a Fossil Energy Reduction Standard. (author)

  16. Renewable Portfolio Standard MARK JACCARD

    E-Print Network [OSTI]

    impacts and risks when compared with electricity derived from conventional sources, such as fossil fuels rain and greenhouse gases relative to a total reliance on fossil fuels, and zero risk of radiation: 1. Some jurisdictions provide greater subsidies to conventional generation fuels and technologies. 2

  17. CALTECH SUSTAINABILITY CALTECH ENERGY PORTFOLIO

    E-Print Network [OSTI]

    Faraon, Andrei

    cells; and 4) electricity purchased form our municipal utility Pasadena Water & Power. For more. The cells are 88% cleaner than the displaced grid power the institute would otherwise purchase, resulting parking structures and five existing building roofs. The arrays were installed based on power purchase

  18. STAFF DRAFT GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    , biomethane, certificates, certification, common carrier pipeline, conduit hydroelectric, digester gas, electrolysis, eligibility, energy storage, fuel cell, gasification, geothermal, hydroelectric, hydrogen, photovoltaic, pipeline biomethane, power purchase agreement, Qualified Reporting Entity (QRE), RECs, renewable

  19. Chemistry Portfolio (Revised August, 2011)

    E-Print Network [OSTI]

    Baltisberger, Jay H.

    at or above the 75th percentile on the American Chemical Society (ACS) Introductory Chemistry Exami- nation

  20. Portfolio Selection with Robust Estimation

    E-Print Network [OSTI]

    2007-08-10T23:59:59.000Z

    Department of Statistics, Universidad Carlos III de Madrid. Avda. de la .... Like us, Cavadini et al. (2001) ...... American Statistical Association 75 306–312. Tucker ...

  1. LEAD COMMISSIONER DRAFT RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    : Biodiesel, biogas, biomass, biomethane, certificates, certification, conduit hydroelectric, digester gas, municipal solid waste, ocean wave, photovoltaic, pipeline biomethane, power purchase agreement, Qualified

  2. STAFF DRAFT GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    Commission's system for tracking and verifying compliance with the RPS. Keywords: Biodiesel, biogas, biomass, biomethane, certificates, certification, conduit hydroelectric, digester gas, electrolysis, ocean wave, photovoltaic, pipeline biomethane, power purchase agreement, Qualified Reporting Entity

  3. STAFF FINAL GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    , biodiesel, biogas, biomass, biomethane, certificates, certification, common carrier pipeline, conduit, ocean thermal, photovoltaic, pipeline biomethane, power purchase agreement, Qualified Reporting Entity

  4. Staff Draft GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    and verifying compliance with the RPS. Keywords: Biodiesel, biogas, biomass, biomethane, certificates, pipeline biomethane, power purchase agreement, Qualified Reporting Entity, RECs, renewable energy

  5. STAFF DRAFT GUIDEBOOK RENEWABLES PORTFOLIO

    E-Print Network [OSTI]

    compliance with the RPS. Keywords: awardee, battery, biodiesel, biogas, biomass, biomethane, pipeline biomethane, power purchase agreement, Qualified Reporting Entity (QRE), RECs, renewable energy

  6. PAE Evaluation Portfolio Peer Review

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOfEnergyOutreach toOverviewOverview P - . . -

  7. portfolio | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development of NovelHigh( ( ( (A R etrospec+ve4'

  8. PORTFOLIO PERFORMANCE | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferAprilOverviewEfficiencyofHSSPIA - I-ManageMisuse of Position |

  9. Portfolio Projects | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602Policy_Flash_2011-85__Attachment_2.pdfPollution Prevention

  10. International Portfolio | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov.Energy02.pdf7 OPAMEnergy InnovationDevelopment,EnvironmentsEmerging

  11. oil and gas portfolio reports

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires mayYuan T.External LinksDoug Jacobsen & Shane6npoand

  12. 2015 Carbon Storage Project Portfolio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, 2014 2014February 2015June5 CO2

  13. Small Buildings and Small Portfolios

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of EnergyFocusOfficeMicrosoft PowerPointDepartment ofSmall

  14. Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi

    SciTech Connect (OSTI)

    Michael Wang

    2012-07-25T23:59:59.000Z

    To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

  15. Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi

    ScienceCinema (OSTI)

    Michael Wang

    2013-06-05T23:59:59.000Z

    To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

  16. INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS

    SciTech Connect (OSTI)

    Gorensek, M.; Hamm, L.; Garcia, H.; Burr, T.; Coles, G.; Edmunds, T.; Garrett, A.; Krebs, J.; Kress, R.; Lamberti, V.; Schoenwald, D.; Tzanos, C.; Ward, R.

    2011-07-18T23:59:59.000Z

    Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.

  17. MODELING ATMOSPHERIC RELEASES OF TRITIUM FROM NUCLEAR INSTALLATIONS

    SciTech Connect (OSTI)

    Okula, K

    2007-01-17T23:59:59.000Z

    Tritium source term analysis and the subsequent dispersion and consequence analyses supporting the safety documentation of Department of Energy nuclear facilities are especially sensitive to the applied software analysis methodology, input data and user assumptions. Three sequential areas in tritium accident analysis are examined in this study to illustrate where the analyst should exercise caution. Included are: (1) the development of a tritium oxide source term; (2) use of a full tritium dispersion model based on site-specific information to determine an appropriate deposition scaling factor for use in more simplified, broader modeling, and (3) derivation of a special tritium compound (STC) dose conversion factor for consequence analysis, consistent with the nature of the originating source material. It is recommended that unless supporting, defensible evidence is available to the contrary, the tritium release analyses should assume tritium oxide as the species released (or chemically transformed under accident's environment). Important exceptions include STC situations and laboratory-scale releases of hydrogen gas. In the modeling of the environmental transport, a full phenomenology model suggests that a deposition velocity of 0.5 cm/s is an appropriate value for environmental features of the Savannah River Site. This value is bounding for certain situations but non-conservative compared to the full model in others. Care should be exercised in choosing other factors such as the exposure time and the resuspension factor.

  18. A robust Bayesian approach to modeling epistemic uncertainty in common-cause failure models

    SciTech Connect (OSTI)

    Matthias C. M. Troffaes; Gero Walter; Dana Kelly

    2014-05-01T23:59:59.000Z

    In a standard Bayesian approach to the alpha-factor model for common-cause failure, a precise Dirichlet prior distribution models epistemic uncertainty in the alpha-factors. This Dirichlet prior is then updated with observed data to obtain a posterior distribution, which forms the basis for further inferences. In this paper, we adapt the imprecise Dirichlet model of Walley to represent epistemic uncertainty in the alpha-factors. In this approach, epistemic uncertainty is expressed more cautiously via lower and upper expectations for each alpha-factor, along with a learning parameter which determines how quickly the model learns from observed data. For this application, we focus on elicitation of the learning parameter, and find that values in the range of 1 to 10 seem reasonable. The approach is compared with Kelly and Atwood's minimally informative Dirichlet prior for the alpha-factor model, which incorporated precise mean values for the alpha-factors, but which was otherwise quite diffuse. Next, we explore the use of a set of Gamma priors to model epistemic uncertainty in the marginal failure rate, expressed via a lower and upper expectation for this rate, again along with a learning parameter. As zero counts are generally less of an issue here, we find that the choice of this learning parameter is less crucial. Finally, we demonstrate how both epistemic uncertainty models can be combined to arrive at lower and upper expectations for all common-cause failure rates. Thereby, we effectively provide a full sensitivity analysis of common-cause failure rates, properly reflecting epistemic uncertainty of the analyst on all levels of the common-cause failure model.

  19. Surety of human elements of high consequence systems: An organic model

    SciTech Connect (OSTI)

    FORSYTHE,JAMES C.; WENNER,CAREN A.

    2000-04-25T23:59:59.000Z

    Despite extensive safety analysis and application of safety measures, there is a frequent lament, ``Why do we continue to have accidents?'' Two breakdowns are prevalent in risk management and prevention. First, accidents result from human actions that engineers, analysts and management never envisioned and second, controls, intended to preclude/mitigate accident sequences, prove inadequate. This paper addresses the first breakdown, the inability to anticipate scenarios involving human action/inaction. The failure of controls has been addressed in a previous publication (Forsythe and Grose, 1998). Specifically, this paper presents an approach referred to as surety. The objective of this approach is to provide high levels of assurance in situations where potential system failure paths cannot be fully characterized. With regard to human elements of complex systems, traditional approaches to human reliability are not sufficient to attain surety. Consequently, an Organic Model has been developed to account for the organic properties exhibited by engineered systems that result from human involvement in those systems.

  20. Modeling Risks in Infrastructure Asset Management

    E-Print Network [OSTI]

    Seyedolshohadaie, Seyed Reza

    2012-10-19T23:59:59.000Z

    in privatizing and operational risks in maintenance and rehabilitation of infrastructure facilities. To this end, a valuation procedure for valuing large-scale risky projects is proposed. This valuation approach is based on mean-risk portfolio optimization...

  1. Oneida Tribe of Indians of Wisconsin Energy Optimization Model

    SciTech Connect (OSTI)

    Troge, Michael [Project Manager

    2014-12-30T23:59:59.000Z

    Oneida Nation is located in Northeast Wisconsin. The reservation is approximately 96 square miles (8 miles x 12 miles), or 65,000 acres. The greater Green Bay area is east and adjacent to the reservation. A county line roughly splits the reservation in half; the west half is in Outagamie County and the east half is in Brown County. Land use is predominantly agriculture on the west 2/3 and suburban on the east 1/3 of the reservation. Nearly 5,000 tribally enrolled members live in the reservation with a total population of about 21,000. Tribal ownership is scattered across the reservation and is about 23,000 acres. Currently, the Oneida Tribe of Indians of Wisconsin (OTIW) community members and facilities receive the vast majority of electrical and natural gas services from two of the largest investor-owned utilities in the state, WE Energies and Wisconsin Public Service. All urban and suburban buildings have access to natural gas. About 15% of the population and five Tribal facilities are in rural locations and therefore use propane as a primary heating fuel. Wood and oil are also used as primary or supplemental heat sources for a small percent of the population. Very few renewable energy systems, used to generate electricity and heat, have been installed on the Oneida Reservation. This project was an effort to develop a reasonable renewable energy portfolio that will help Oneida to provide a leadership role in developing a clean energy economy. The Energy Optimization Model (EOM) is an exploration of energy opportunities available to the Tribe and it is intended to provide a decision framework to allow the Tribe to make the wisest choices in energy investment with an organizational desire to establish a renewable portfolio standard (RPS).

  2. CIM-EARTH: Community integrated model of economic and resource trajectories for humankind.

    SciTech Connect (OSTI)

    Elliott, J.; Foster, I.; Judd, K.; Moyer, E.; Munson, T.; Univ. of Chicago; Hoover Inst.

    2010-01-01T23:59:59.000Z

    Climate change is a global problem with local climatic and economic impacts. Mitigation policies can be applied on large geographic scales, such as a carbon cap-and-trade program for the entire U.S., on medium geographic scales, such as the NOx program for the northeastern U.S., or on smaller scales, such as statewide renewable portfolio standards and local gasoline taxes. To enable study of the environmental benefits, transition costs, capitalization effects, and other consequences of mitigation policies, we are developing dynamic general equilibrium models capable of incorporating important climate impacts. This report describes the economic framework we have developed and the current Community Integrated Model of Economic and Resource Trajectories for Humankind (CIM-EARTH) instance.

  3. A Coupled System of Integrodifferential Equations Arising in Liquidity Risk Model

    SciTech Connect (OSTI)

    Pham, Huyen, E-mail: pham@math.jussieu.fr; Tankov, Peter [Universites Paris 6-Paris 7, Laboratoire de Probabilites et Modeles Aleatoires, CNRS, UMR 7599 (France)], E-mail: tankov@math.jussieu.fr

    2009-04-15T23:59:59.000Z

    We study the mathematical aspects of the portfolio/consumption choice problem in a market model with liquidity risk introduced in (Pham and Tankov, Math. Finance, 2006, to appear). In this model, the investor can trade and observe stock prices only at exogenous Poisson arrival times. He may also consume continuously from his cash holdings, and his goal is to maximize his expected utility from consumption. This is a mixed discrete/continuous time stochastic control problem, nonstandard in the literature. We show how the dynamic programming principle leads to a coupled system of Integro-Differential Equations (IDE), and we prove an analytic characterization of this control problem by adapting the concept of viscosity solutions. This coupled system of IDE may be numerically solved by a decoupling algorithm, and this is the topic of a companion paper (Pham and Tankov, Math. Finance, 2006, to appear)

  4. EIA model documentation: Documentation of the Oil and Gas Supply Module (OGSM)

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSM), to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. Projected production estimates of US crude oil and natural gas are based on supply functions generated endogenously within National Energy Modeling System (NEMS) by the OGSM. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery (EOR), and unconventional gas recovery (UGR) from tight gas formations, Devonian shale and coalbeds. Crude oil and natural gas projects are further disaggregated by geographic region. OGSM projects US domestic oil and gas supply for six Lower 48 onshore regions, three offshore regions, and Alaska. The general methodology relies on forecasted drilling expenditures and average drilling costs to determine exploratory and developmental drilling levels for each region and fuel type. These projected drilling levels translate into reserve additions, as well as a modification of the production capacity for each region. OGSM also represents foreign trade in natural gas, imports and exports by entry region.

  5. APPROXIMATE DYNAMIC PROGRAMMING I: MODELING

    E-Print Network [OSTI]

    Powell, Warren B.

    -managed inve- ntories, and incentives to control the demand for energy. · Management of Financial Portfolios will meet government targets for renewable energy in 30 years. These decisions need to be made management, health care, military operations, agriculture, and energy. Wiley Encyclopedia of Operations

  6. Development of Simplified Probabilistic Risk Assessment Model for Seismic Initiating Event

    SciTech Connect (OSTI)

    S. Khericha; R. Buell; S. Sancaktar; M. Gonzalez; F. Ferrante

    2012-06-01T23:59:59.000Z

    ABSTRACT This paper discusses a simplified method to evaluate seismic risk using a methodology built on dividing the seismic intensity spectrum into multiple discrete bins. The seismic probabilistic risk assessment model uses Nuclear Regulatory Commission’s (NRC’s) full power Standardized Plant Analysis Risk (SPAR) model as the starting point for development. The seismic PRA models are integrated with their respective internal events at-power SPAR model. This is accomplished by combining the modified system fault trees from the full power SPAR model with seismic event tree logic. The peak ground acceleration is divided into five bins. The g-value for each bin is estimated using the geometric mean of lower and upper values of that particular bin and the associated frequency for each bin is estimated by taking the difference between upper and lower values of that bin. The component’s fragilities are calculated for each bin using the plant data, if available, or generic values of median peak ground acceleration and uncertainty values for the components. For human reliability analysis (HRA), the SPAR HRA (SPAR-H) method is used which requires the analysts to complete relatively straight forward worksheets that include the performance shaping factors (PSFs). The results are then used to estimate human error probabilities (HEPs) of interest. This work is expected to improve the NRC’s ability to include seismic hazards in risk assessments for operational events in support of the reactor oversight program (e.g., significance determination process).

  7. A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence

    E-Print Network [OSTI]

    Liu, Wei

    2013-05-08T23:59:59.000Z

    REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 APPENDIX A. DERIVATION OF THE ZERO-BETA CAPM . . . . . . . . . 80 APPENDIX B. PROOF OF EQUIVALENCE OF ROLL AND ZCAPM AP- PROACHES TO FINDING MARKET AND ZERO-BETA PORTFOLIOS... of the Efficient Frontier . . . . . . . . . . . . . . . . . . . 9 2.3 New Geometric Approach to Identify Zero-Beta CAPM Portfolios . . 10 2.4 Geometry of the ZCAPM with Equivalent New and Old Geometric Approaches...

  8. Healthcare Policy Modeling, Simulation, and Analysis: COMPARE

    E-Print Network [OSTI]

    individual or group that is seriously interested in improving the health care system -- including reform are important issues for the American public, the healthcare industry, policy analysts assess the intended and unintended consequences of such reforms. Until now, it has been practically

  9. Modeling of Uncertainties in Major Drivers in U.S. Electricity Markets: Preprint

    SciTech Connect (OSTI)

    Short, W.; Ferguson, T.; Leifman, M.

    2006-09-01T23:59:59.000Z

    This paper presents information on the Stochastic Energy Deployment System (SEDS) model. DOE and NREL are developing this new model, intended to address many of the shortcomings of the current suite of energy models. Once fully built, the salient qualities of SEDS will include full probabilistic treatment of the major uncertainties in national energy forecasts; code compactness for desktop application; user-friendly interface for a reasonably trained analyst; run-time within limits acceptable for quick-response analysis; choice of detailed or aggregate representations; and transparency of design, code, and assumptions. Moreover, SEDS development will be increasingly collaborative, as DOE and NREL will be coordinating with multiple national laboratories and other institutions, making SEDS nearly an 'open source' project. The collaboration will utilize the best expertise on specific sectors and problems, and also allow constant examination and review of the model. This paper outlines the rationale for this project and a description of its alpha version, as well as some example results. It also describes some of the expected development efforts in SEDS.

  10. Climate Models from the Joint Global Change Research Institute

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

    Staff at the Joint Institute develop and use models to simulate the economic and physical impacts of global change policy options. The GCAM, for example, gives analysts insight into how regional and national economies might respond to climate change mitigation policies including carbon taxes, carbon trading, and accelerated deployment of energy technology. Three available models are Phoenix, GCAM, and EPIC. Phoenix is a global, dynamic recursive, computable general equilibrium model that is solved in five-year time steps from 2005 through 2100 and divides the world into twenty-four regions. Each region includes twenty-six industrial sectors. Particular attention is paid to energy production in Phoenix. There are nine electricity-generating technologies (coal, natural gas, oil, biomass, nuclear, hydro, wind, solar, and geothermal) and four additional energy commodities: crude oil, refined oil products, coal, and natural gas. Phoenix is designed to answer economic questions related to international climate and energy policy and international trade. Phoenix replaces the Second Generation Model (SGM) that was formerly used for general equilibrium analysis at JGCRI. GCAM is the Global Change Assessment Model, a partial equilibrium model of the world with 14 regions. GCAM operates in 5 year time steps from 1990 to 2095 and is designed to examine long-term changes in the coupled energy, agriculture/land-use, and climate system. GCAM includes a 151-region agriculture land-use module and a reduced form carbon cycle and climate module in addition to its incorporation of demographics, resources, energy production and consumption. The model has been used extensively in a number of assessment and modeling activities such as the Energy Modeling Forum (EMF), the U.S. Climate Change Technology Program, and the U.S. Climate Change Science Program and IPCC assessment reports. GCAM is now freely available as a community model. The Environmental Policy Integrated Climate (EPIC) Model is a process-based agricultural systems model composed of simulation components for weather, hydrology, nutrient cycling, pesticide fate, tillage, crop growth, soil erosion, crop and soil management and economics. Staff at PNNL have been involved in the development of this model by integrating new sub-models for soil carbon dynamics and nitrogen cycling.

  11. A Mid-Layer Model for Human Reliability Analysis: Understanding the Cognitive Causes of Human Failure Events

    SciTech Connect (OSTI)

    Stacey M. L. Hendrickson; April M. Whaley; Ronald L. Boring; James Y. H. Chang; Song-Hua Shen; Ali Mosleh; Johanna H. Oxstrand; John A. Forester; Dana L. Kelly; Erasmia L. Lois

    2010-06-01T23:59:59.000Z

    The Office of Nuclear Regulatory Research (RES) is sponsoring work in response to a Staff Requirements Memorandum (SRM) directing an effort to establish a single human reliability analysis (HRA) method for the agency or guidance for the use of multiple methods. As part of this effort an attempt to develop a comprehensive HRA qualitative approach is being pursued. This paper presents a draft of the method’s middle layer, a part of the qualitative analysis phase that links failure mechanisms to performance shaping factors. Starting with a Crew Response Tree (CRT) that has identified human failure events, analysts identify potential failure mechanisms using the mid-layer model. The mid-layer model presented in this paper traces the identification of the failure mechanisms using the Information-Diagnosis/Decision-Action (IDA) model and cognitive models from the psychological literature. Each failure mechanism is grouped according to a phase of IDA. Under each phase of IDA, the cognitive models help identify the relevant performance shaping factors for the failure mechanism. The use of IDA and cognitive models can be traced through fault trees, which provide a detailed complement to the CRT.

  12. A mid-layer model for human reliability analysis : understanding the cognitive causes of human failure events.

    SciTech Connect (OSTI)

    Shen, Song-Hua (US Nuclear Regulatory Commission, Washington, DC); Chang, James Y. H. (US Nuclear Regulatory Commission, Washington, DC); Boring,Ronald L. (Idaho National Laboratory, Idaho Falls, ID); Whaley, April M. (Idaho National Laboratory, Idaho Falls, ID); Lois, Erasmia (US Nuclear Regulatory Commission, Washington, DC); Hendrickson, Stacey M. Langfitt; Oxstrand, Johanna H. (Vattenfall Ringhals AB, Varobacka, Sweden); Forester, John Alan; Kelly, Dana L. (Idaho National Laboratory, Idaho Falls, ID); Mosleh, Ali (University of Maryland, College Park, MD)

    2010-03-01T23:59:59.000Z

    The Office of Nuclear Regulatory Research (RES) at the US Nuclear Regulatory Commission (USNRC) is sponsoring work in response to a Staff Requirements Memorandum (SRM) directing an effort to establish a single human reliability analysis (HRA) method for the agency or guidance for the use of multiple methods. As part of this effort an attempt to develop a comprehensive HRA qualitative approach is being pursued. This paper presents a draft of the method's middle layer, a part of the qualitative analysis phase that links failure mechanisms to performance shaping factors. Starting with a Crew Response Tree (CRT) that has identified human failure events, analysts identify potential failure mechanisms using the mid-layer model. The mid-layer model presented in this paper traces the identification of the failure mechanisms using the Information-Diagnosis/Decision-Action (IDA) model and cognitive models from the psychological literature. Each failure mechanism is grouped according to a phase of IDA. Under each phase of IDA, the cognitive models help identify the relevant performance shaping factors for the failure mechanism. The use of IDA and cognitive models can be traced through fault trees, which provide a detailed complement to the CRT.

  13. Tom Stephens | Argonne National Laboratory

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

    Systems Analyst Tom Stephens E-mail tstephens@anl.gov Projects HTEBdyn Heavy Truck Energy Balance Dynamic Model Heavy Truck Benefits Analysis Models Heavy Vehicle...

  14. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies Division March 2011

    E-Print Network [OSTI]

    Satchwell, Andrew

    2011-01-01T23:59:59.000Z

    7   4.2 Demand Side Management (DSM) Portfolioresponse programs. Demand Side Management – Strategiesof the demand side management (DSM) portfolio – projected

  15. 851 S.W. Sixth Avenue, Suite 1100 Steve Crow 503-222-5161 Portland, Oregon 97204-1348 Executive Director 800-452-5161

    E-Print Network [OSTI]

    , because of difficulties with supporting software, the Portfolio Risk model is not currently available, a resource portfolio including replacement resources would be created using the Portfolio Risk model. However appearing in those L27aX futures where load exceeds average by similar magnitude of the energy loss

  16. GEO-ENGINEERING MODELING THROUGH INTERNET INFORMATICS (GEMINI)

    SciTech Connect (OSTI)

    W. Lynn Watney; John H. Doveton

    2004-05-13T23:59:59.000Z

    GEMINI (Geo-Engineering Modeling through Internet Informatics) is a public-domain web application focused on analysis and modeling of petroleum reservoirs and plays (http://www.kgs.ukans.edu/Gemini/index.html). GEMINI creates a virtual project by ''on-the-fly'' assembly and analysis of on-line data either from the Kansas Geological Survey or uploaded from the user. GEMINI's suite of geological and engineering web applications for reservoir analysis include: (1) petrofacies-based core and log modeling using an interactive relational rock catalog and log analysis modules; (2) a well profile module; (3) interactive cross sections to display ''marked'' wireline logs; (4) deterministic gridding and mapping of petrophysical data; (5) calculation and mapping of layer volumetrics; (6) material balance calculations; (7) PVT calculator; (8) DST analyst, (9) automated hydrocarbon association navigator (KHAN) for database mining, and (10) tutorial and help functions. The Kansas Hydrocarbon Association Navigator (KHAN) utilizes petrophysical databases to estimate hydrocarbon pay or other constituent at a play- or field-scale. Databases analyzed and displayed include digital logs, core analysis and photos, DST, and production data. GEMINI accommodates distant collaborations using secure password protection and authorized access. Assembled data, analyses, charts, and maps can readily be moved to other applications. GEMINI's target audience includes small independents and consultants seeking to find, quantitatively characterize, and develop subtle and bypassed pays by leveraging the growing base of digital data resources. Participating companies involved in the testing and evaluation of GEMINI included Anadarko, BP, Conoco-Phillips, Lario, Mull, Murfin, and Pioneer Resources.

  17. Energy Department's Loan Portfolio Continues Strong Performance...

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

    We think those results show that LPO is succeeding in its mission to help finance the first commercial deployments of innovative technologies in the U.S. In addition...

  18. Robustness to Dependency in Portfolio Optimization Using ...

    E-Print Network [OSTI]

    2013-05-10T23:59:59.000Z

    (di) = P(˜ci b) The last set of constraints in (11) ensures the consistency and hence the feasibility of a ...... l'Université de Lyon, Section A, Series 3, 14:53–77, 1951.

  19. A Portfolio of Poetry and Portraits

    E-Print Network [OSTI]

    Multiple Contributors

    1981-01-01T23:59:59.000Z

    Fire ? by Debbi Okoniewski 35 Blue and Gold ? by Connie Faddis 35 Lawman ? by Ruth Kurz 36 Marshall Callahan ? by Leah Rosenthal 36 I Wa.nted To Be A Cowboy ? by Ruth Kurz ...37 Johnny The Kid ? by Ruth Kurz 38 No Blooming Romantic ? by Jean..., They Say ? by C. Morand 28 Snapshots of a Saturday in Summer ? by-Teri.White 29 Hi, Kid ? by Ruth Kurz 30 In Time With Us ? by Debbi Okoniewski 31 Hi, Cowboy ? by Ruth Kurz.... 32 Rick, Rare Etch'd ? by Paula Smith 37 Richard ? by Ruth Kurz 34 Love...

  20. Do Disaster Expectations Explain Household Portfolios?

    E-Print Network [OSTI]

    Alan, Sule

    durable ex- penditure information; and ?nally, the Panel Study of Income Dynamics (1983-1994) that allows me to calibrate group speci?c income process parameters. Limited het- 3 erogeneity in all parameters is allowed for by estimating the structural... innovations to excess return to be correlated with innovations to per- manent or transitory income in normal market times. Allowing for such a correlation is straightforward and would reduce the ex-ante disaster probability and disaster size needed to match...

  1. Renewable Portfolio Standard (Prince Edward Island, Canada)

    Broader source: Energy.gov [DOE]

    For the calendar year beginning on January 1, 2010 and for each calendar year thereafter, every public utility shall obtain at least 15 percent of the total amount of electric energy that it sells...

  2. Renewable Portfolio Standard (New Brunswick, Canada)

    Broader source: Energy.gov [DOE]

    NB Power currently sources 28 percent of its in-province electricity demand from wind, biomass and hydro resources. The Province will increase its commitment to pursue renewable energy by creating...

  3. Advanced Topics for the Portfolio Manager Initiative

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

    within their building. The only way to get that is through having an evaluation energy audit. That the building owner also be empowered to make informed decisions and by...

  4. PORTFOLIO OF POTENTIAL STRATEGIES IN AERONAUTIC MAINTENANCE

    SciTech Connect (OSTI)

    Rolet, S. [Structural Health Engineering department, EADS Innovation Works, Toulouse (France)

    2010-02-22T23:59:59.000Z

    EADS divisions aim more and more at developing services associated to their platforms. EADS divisions, like Airbus and Eurocopter, are investigating on services associated to their platforms in order to add them value. One possible service consists in structural maintenance operation assistance, especially for NDT operations performed by the customer. EADS Innovation Works envisages three different and complementary enhanced structural maintenance categories. Enhanced NDT improves standard NDT operation environment. This is made possible by the existence of 'smart' NDT tools that are computer based and therefore able to support other functions. These functions range from local smart data processing and display to remote expert assisted operation. Passive Sensor Network relies on sensors permanently installed on aircraft structure. Interrogation of sensors is performed on ground and off line (while structure is not loaded except by its own weight). It can be done at arbitrary times in order to determine structure health. The aim is to give easy access to some hidden ''hot spots,'' to reduce human factor in structure health assessment and optimize maintenance. Structural Health Monitoring goes a step beyond Passive Sensor Network, because interrogation units are on board the aircraft and may be connected to aircraft network. It allows to use on-line techniques such as adapted acoustic emission and to automatically raise an alarm when a defect appears in the structure. This paper presents these different ways of improving structural maintenance operations in service, with their respective advantages and limitations.

  5. Understanding risk in a biopharmaceutical portfolio

    E-Print Network [OSTI]

    Wagner, Alice Elizabeth, 1980-

    2011-01-01T23:59:59.000Z

    Investors have difficulty funding the life sciences because of the high risks involved in research and development and commercialization of new products. Risk in the biopharmaceutical industry is the result of scientific, ...

  6. Research Portfolio Accomplishment Report Unconventional Oil ...

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

    tables highlighting key internal heterogeneities and mechanical properties; (4) gamma-ray profiles for 8 of the stratigraphic profiles; (5) 4 Regional, stratigraphic...

  7. Climate change and renewable energy portfolios 

    E-Print Network [OSTI]

    Burnett, Dougal James

    2012-06-25T23:59:59.000Z

    The UK has a commitment to reduce greenhouse gases by at least 80% from 1990 levels by 2050. This will see the proportion of energy generated in the UK from renewable resources such as wind, solar, marine and bio-fuels ...

  8. Research Portfolio Accomplishment Report Unconventional Oil ...

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

    of brines brings added regulatory scrutiny; therefore, achievement of even partial removal of salts from produced water-a process called demineralization-can improve water...

  9. New Evidence on Taxes and Portfolio Choices

    E-Print Network [OSTI]

    Alan, Sule; Atalay, Kadir; Crossley, Thomas F; Jeon, Sung-Hee

    ) Savings bonds e) Mortgage-backed bonds f) Corporate Bonds g) Foreign Bonds h) Cash or call money accounts i)T-bills j)government bond funds and other bond funds a) Stock mutual funds b)Stocks c)trusts d)Tax-free Money market funds e) Tax... ), pensions and taxable government transfers.6 For the placebo tests we use two major American data sets; the Survey of Consumer Finance, SCF (1998) and the Panel study of Income Dynamics, PSID (1999). The SCF is a triennial survey that collects information...

  10. Fuzziness and Funds Allocation in Portfolio Optimization

    E-Print Network [OSTI]

    Jack Allen; Sukanto Bhattacharya; Florentin Smarandache

    2002-03-07T23:59:59.000Z

    Each individual investor is different, with different financial goals, different levels of risk tolerance and different personal preferences. From the point of view of investment management, these characteristics are often defined as objectives and constraints. Objectives can be the type of return being sought, while constraints include factors such as time horizon, how liquid the investor is, any personal tax situation and how risk is handled. It's really a balancing act between risk and return with each investor having unique requirements, as well as a unique financial outlook - essentially a constrained utility maximization objective. To analyze how well a customer fits into a particular investor class, one investment house has even designed a structured questionnaire with about two-dozen questions that each has to be answered with values from 1 to 5. The questions range from personal background (age, marital state, number of children, job type, education type, etc.) to what the customer expects from an investment (capital protection, tax shelter, liquid assets, etc.). A fuzzy logic system has been designed for the evaluation of the answers to the above questions. We have investigated the notion of fuzziness with respect to funds allocation.

  11. Government Performance Result Act (GPRA) / Portfolio Decision...

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

    " Evaluation of PHEVs fuel efficiency and cost Using Monte Carlo Analysis", EVS 24, Norway, May 2009 A. Delorme, S. Pagerit, P. Sharer, A. Rousseau, " Cost benefit analysis of...

  12. Value based analysis of acquisition portfolios

    E-Print Network [OSTI]

    Burgess, Cheri Nicole Markt

    2010-01-01T23:59:59.000Z

    Currently, program-funding allocation is based on program performance. Funding cuts commonly lead to a poor reflection on the program management assigned to the given program. If additional factors such as program risk and ...

  13. Robust Profit Opportunities in Risky Financial Portfolios

    E-Print Network [OSTI]

    2004-08-11T23:59:59.000Z

    Aug 11, 2004 ... strongly related to arbitrage using partial probabilistic information, and to ... Let vi denote the period-end value of $1 invested in security i at the ...

  14. Renewable Portfolio Standards: Costs and Benefits (Poster)

    SciTech Connect (OSTI)

    Bird, L.; Heeter, J.; Barbose, G.; Weaver, S.; Flores, F.; Kuskova-Burns, K.; Wiser, R.

    2014-10-01T23:59:59.000Z

    This report summarizes state-level RPS costs to date, and considers how those costs may evolve going forward given scheduled increases in RPS targets and cost containment mechanisms. The report also summarizes RPS benefits estimates, based on published studies for individual states and discusses key methodological considerations.

  15. Austin - Renewables Portfolio Standard | Department of Energy

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

    waste products, including landfill gas. Funding to achieve the 5% increase in renewable energy resources was authorized to be provided by Austin Energy's green pricing program --...

  16. Small Buildings Small Portfolio Commercial Upstream Incentive...

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

    and operation-to address region-specific challenges, such as regulatory constraints and energy pricing dynamics. By collaborating with regional energy partners and building on...

  17. Research Portfolio Accomplishment Report Unconventional Oil ...

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

    plasma arc discharge, a plasma-assisted self-cleaning filter, and an integrated plasma unit with vapor-compression distillation for produced water treatment. Research Conducted:...

  18. Multistage Stochastic Portfolio Optimisation in Deregulated ...

    E-Print Network [OSTI]

    2011-06-10T23:59:59.000Z

    Jun 9, 2011 ... being replaced by firms specialised in generation, transmission, ... pass several ways of procuring electric energy (for instance, via .... the retailer the right to buy a forward contract of type i(j) ? I at maturity time M(j) and at a.

  19. RISK AVERSION AND TECHNOLOGY PORTFOLIOS Guy MEUNIER

    E-Print Network [OSTI]

    Boyer, Edmond

    in a technology with a positive expected return. If the technology with the lower expected cost is more risky than to produce with each technology. One technology has a lower expected marginal cost than the other, and costly technology to reduce its risk. The influence of correlation is emphasized. As the supply

  20. Robust Portfolio Optimization with Derivative Insurance Guarantees

    E-Print Network [OSTI]

    Steve Zymler

    2009-01-13T23:59:59.000Z

    Jan 13, 2009 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  1. KU MPA Competency and Portfolio Guide

    E-Print Network [OSTI]

    Nalbandian, John; Hummert, Raymond

    2011-08-29T23:59:59.000Z

    , 8th, 15th (Photo above) Competency: Citizen Engagement, Apprentice Reflection: When the City implemented a new trash and recycling contract, city hall began to receive a large volume of complaints about new restrictions in the service... of citizen engagement. Upon seeing its importance, I rate myself as an apprentice. Artifact: ICMA Performance Measures Report Competency: Evidence-based practice, Apprentice Reflection: The city joined the ICMA Center for Performance Measurement...

  2. Government Performance Result Act (GPRA) / Portfolio Decision...

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

    Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report PHEVs Component Requirements Vehicle Technologies...

  3. Puerto Rico- Renewable Energy Portfolio Standard

    Broader source: Energy.gov [DOE]

    Note: Compliance for this standard does not begin until 2015. Additional rules and regulations are needed to implement this law; this record will be updated periodically as the rules are developed.

  4. RENEWABLES PORTFOLIO STANDARD 2006 PROCUREMENT VERIFICATION

    E-Print Network [OSTI]

    .............................................................................................. 10 Flexible Compliance .................................................................................................... 14 Sources of Generation Data

  5. RENEWABLES PORTFOLIO STANDARD 2006 PROCUREMENT VERIFICATION

    E-Print Network [OSTI]

    ................................................................................................ 5 Flexible Compliance .................................................................................................... 10 Sources of Generation Data .....................................................................................

  6. Fuel Cells & Renewable Portfolio Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport inEnergy0.pdfTechnologies Program (FCTP)Overview FuelStorage,Cells & Fuel

  7. Fuel Cells and Renewable Portfolio Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport inEnergy0.pdfTechnologies Program (FCTP)Overviewgreen h y d r o g e n fandand

  8. ITP Nanomanufacturing: Nanomanufacturing Portfolio: Manufacturing Processes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department ofOralGovernmentStandards forand Opportunities for the

  9. 2015 Project Portfolio | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment ofCBFO-13-3322(EE)DepartmentVery5 Annual

  10. Renewable Portfolio Standard | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form History FacebookRegenesysRenewable Hawaii Inc Jump to:

  11. Renewables Portfolio Standard | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form History FacebookRegenesysRenewable Hawaii IncRenewable ZukunftStandard

  12. Portfolio Energy Credits | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHA Administrative Judgea.Work PlanNEPA/309 Reviewers |Department

  13. 2014 Solid-State Lighting Project Portfolio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of BadTHEEnergy VehicleSessionOffice44 SSLEnergyPROJECT

  14. Portfolio 21 Investments | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska: EnergyPiratiniEdwards, Wisconsin:Porter County,Porter-Cologne

  15. Small Business Portfolio | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9Morgan ManagingW.tepidumAngle

  16. Renewables Portfolio Standards | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | RoadmapRenewable Energyobtained from sourcesOpenStandards

  17. Renewables Portfolio Standards | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | RoadmapRenewable Energyobtained from

  18. Renewable Energy Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29,3,UtilityInvestor-Owned Utility Local

  19. Renewable Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewable Energy

  20. Renewable Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewable EnergyMunicipal

  1. Renewable Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewable EnergyMunicipalSolar

  2. Renewable Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewable

  3. Renewable Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar Thermal Electric

  4. Renewable Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar Thermal

  5. Renewable Portfolio Standards Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar ThermalAn RPS is a

  6. Renewables Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar ThermalAn RPSLocal

  7. Renewables Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar ThermalAn

  8. Renewables Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar ThermalAnLandfill

  9. Renewables Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuaryGeothermalRenewableSolar

  10. Portfolio Manager Overview Presentation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in235-1Department of60 DATE: MarchNEPA/309Energy

  11. Small Business Portfolio | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative JC3 RSS September 9,AwardGradsSites Pending Transfer to LM SitesDepartment ofSmall

  12. 2015 Solid Oxide Fuel Cells Project Portfolio

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, 2014Energy, Office2015 Solid Oxide Fuel

  13. VTO Analysis Portfolio | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59CapabilityVulnerabilities |2ParticipantVTA,VTO

  14. Capstone Workshop Portfolio | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Change RequestFirst Report to the Prime Minister

  15. Energy Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2,and/or local financialDepartment2Policy Act of

  16. Renewable Portfolio Standard | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to: navigation, searchRayreviewAl.,RenGenAmes,RenewableRFL

  17. Alternative Energy Portfolio Standard | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2Partners inDirector, OfficeDepartment ofInvestor-Owned

  18. ANALYST EYES AND CAMERA EYES: THEORETICAL AND TECHNOLOGICAL CONSIDERATIONS IN "SEEING"

    E-Print Network [OSTI]

    Sheridan, Jennifer

    and Washington. The Center, established in 1987, initially focused on the teaching and learning of literature. In March 1996, the Center expanded its focus to include the teaching and learning of English, both's (CELA) efforts to understand and improve student literacy and learning across the grades and disciplines

  19. Contract Specialist/Procurement Analyst (Non-Supervisory, Lead and Supervisory)

    Broader source: Energy.gov [DOE]

    The Department of Energy is seeking motivated and highly-qualified candidates for exciting full-time permanent positions available in multiple locations throughout the United States. To learn more...

  20. KATHERINE C. RIDOLFI, M.S.______________________ Environmental Analyst/Project Manager

    E-Print Network [OSTI]

    symposium on Longfin smelt, Green sturgeon, and dredging activities in the San Francisco Estuary fish species due to dredging in San Francisco Bay, San Francisco Estuary Institute. SFEI Contribution xxx, Oakland, Ca. Ridolfi, K., R.Hoenicke, L.McKee, M.Delaney. 2007. Cost-Effective, Applicable

  1. What do ACMS Majors Do? Business/Industry: Equity Derivatives Analyst

    E-Print Network [OSTI]

    Anderson, Richard

    world. Why Choose ACMS? Quantitative reasoning, mathematical analysis, and computational methods Mathematical Sciences University of Washington, Seattle What is ACMS? The Applied and Computational in the College of Arts and Sciences, offered jointly by the Depart- ments of Applied Mathematics, Computer

  2. Mark Lipson: Senior Analyst and Program Director, Organic Farming Research Foundation

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    She was a partner at Happy Valley, actually, before she cameLipson Lipson: Well, the Happy Valley Conservancy is sort of

  3. Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergyEnergy Jump to:| Open

  4. Pharmaceutical manufacturers are facing significant changes. According to a prominent analyst they are encountering increased

    E-Print Network [OSTI]

    Fisher, Kathleen

    is to increase product innovation while also meeting high standards for process and data compliance. The company they are encountering increased competition from generic products; growing regulatory requirements; and pressure of the industry's leading companies need to revamp their long-standing "siloed" business operations and invent

  5. Exploiting Comparative Studies Using Criteria: Generating Knowledge From An Analyst's Perspective

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    . Facultad de Ingeniería, Universidad Central de Venezuela. Caracas, 1041-A, Venezuela daniel de Venezuela. Caracas, 1041-A, Venezuela nestor_carrasquero@cantv.net 3 Instituto de Sistemas

  6. Logan Daum > Analyst - DC Energy > Center Alumni > The Energy Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenter (LMI-EFRC)DepartmentSecurityLodgingCenter

  7. Negotiated Learner Models for Today Susan BULLa*

    E-Print Network [OSTI]

    Bull, Susan

    (OLM) give access to the LM in a human-understandable way, e.g. skill meters [3],[4], concept maps [5],[6] and, recently, treemaps [7],[8]. The OLM therefore not only allows personalisation, but also offers networks [14]. There is a call to integrate OLMs with e-learning approaches, such as e-portfolios [15

  8. Queuing models System dynamics models

    E-Print Network [OSTI]

    Glushko, Robert J.

    models Value chain models Business Model / Organizational Perspective Process Perspective Information#12;#12;#12;#12;Queuing models System dynamics models #12;#12;#12;#12;Blueprint or touchpoint

  9. Orphan drugs : future viability of current forecasting models, in light of impending changes to influential market factors

    E-Print Network [OSTI]

    Gottlieb, Joshua

    2011-01-01T23:59:59.000Z

    Interviews were conducted to establish a baseline for how orphan drug forecasting is currently undertaken by financial market and industry analysts with the intention of understanding the variables typically accounted for ...

  10. Model and Analytic Processes for Export License Assessments

    SciTech Connect (OSTI)

    Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry

    2011-09-29T23:59:59.000Z

    This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An approach to developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.

  11. An Information Systems Security Risk Assessment Model Under Dempster- Schafer Theory of Belief Functions

    E-Print Network [OSTI]

    Sun, Lili; Srivastava, Rajendra P.; Mock, Theodore J.

    2006-01-01T23:59:59.000Z

    ], artificial intelligence and expert systems [18, 61], data mining [33, 60], financial portfolio management [45], image processing in radiology [10], remote sensing in agriculture [11] and in the ocean [29], and forecasting demand for mobile satellites [28...

  12. How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market

    E-Print Network [OSTI]

    Sioshansi, Ramteen; Oren, Shmuel

    2007-01-01T23:59:59.000Z

    cost for each plant based on its generating technology. Inmarginal generating cost of a fossil-fuel driven plant canplants in its generation portfolio are dispatched in economic merit order. Thus, a ?rm that is generating

  13. A model for performance management in real properties using statistical techniques

    E-Print Network [OSTI]

    Deolalikar, Jyoti

    1989-01-01T23:59:59.000Z

    Within Real Property Portfolio Management. there is a conscious search for new methodologies to improve building management practice, particularly for facilities in use. An approach in this direction is realized by the ...

  14. Enduse Global Emissions Mitigation Scenarios (EGEMS): A New Generation of Energy Efficiency Policy Planning Models

    SciTech Connect (OSTI)

    McNeil, Michael A.; de la Rue du Can, Stephane; McMahon, James E.

    2009-05-29T23:59:59.000Z

    This paper presents efforts to date and prospective goals towards development of a modelling and analysis framework which is comprehensive enough to address the global climate crisis, and detailed enough to provide policymakers with concrete targets and achievable outcomes. In terms of energy efficiency policy, this requires coverage of the entire world, with emphasis on countries and regions with large and/or rapidly growing energy-related emissions, and analysis at the 'technology' level-building end use, transport mode or industrial process. These elements have not been fully addressed by existing modelling efforts, which usually take either a top-down approach, or concentrate on a few fully industrialized countries where energy demand is well-understood. Inclusion of details such as appliance ownership rates, use patterns and efficiency levels throughout the world allows for a deeper understanding of the demand for energy today and, more importantly, over the coming decades. This is a necessary next step for energy analysts and policy makers in assessment of mitigation potentials. The modelling system developed at LBNL over the past 3 years takes advantage of experience in end use demand and in forecasting markets for energy-consuming equipment, in combination with known technology-based efficiency opportunities and policy types. A particular emphasis has been placed on modelling energy growth in developing countries. Experiences to date include analyses covering individual countries (China and India), end uses (refrigerators and air conditioners) and policy types (standards and labelling). Each of these studies required a particular effort in data collection and model refinement--they share, however, a consistent approach and framework which allows comparison, and forms the foundation of a comprehensive analysis system leading to a roadmap to address the greenhouse gas mitigation targetslikely to be set in the coming years.

  15. The uses and limits of economic models as a climate change policy tool: A summary report

    SciTech Connect (OSTI)

    Zimmerman, M.B.; Nitze, W.A.

    1991-01-01T23:59:59.000Z

    The Alliance to Save Energy initiated this workshop as a means of bringing climate change policy makers and economists together on the eve of the opening negotiating session for a climate change convention. The one and one-half day workshop was attended by 16 analysts who provided presentations on modeling approaches. There is a need for policy makers to be better able to evaluate the growing literature estimating the potential cost of policy options. Our hope is that this report, to be presented at the conclusion of the negotiations on the framework convention on climate change at the Earth Summit in Brazil, will help policy makers in the US and elsewhere evaluate the costs and benefits of national climate change mitigation policies. Although it is still unclear how far the convention will go in requiring emissions reductions, many countries are proceeding with detailed plans to reduce domestic carbon dioxide (CO{sub 2}) emissions. Our goal in holding the workshop and writing this report is to spark a new level of dialogue between the producers and users of information on the costs and benefits of climate mitigation policies leading to the development of more cost-effective policy solutions at the national and international levels.

  16. The uses and limits of economic models as a climate change policy tool: A summary report

    SciTech Connect (OSTI)

    Zimmerman, M.B.; Nitze, W.A.

    1991-12-31T23:59:59.000Z

    The Alliance to Save Energy initiated this workshop as a means of bringing climate change policy makers and economists together on the eve of the opening negotiating session for a climate change convention. The one and one-half day workshop was attended by 16 analysts who provided presentations on modeling approaches. There is a need for policy makers to be better able to evaluate the growing literature estimating the potential cost of policy options. Our hope is that this report, to be presented at the conclusion of the negotiations on the framework convention on climate change at the Earth Summit in Brazil, will help policy makers in the US and elsewhere evaluate the costs and benefits of national climate change mitigation policies. Although it is still unclear how far the convention will go in requiring emissions reductions, many countries are proceeding with detailed plans to reduce domestic carbon dioxide (CO{sub 2}) emissions. Our goal in holding the workshop and writing this report is to spark a new level of dialogue between the producers and users of information on the costs and benefits of climate mitigation policies leading to the development of more cost-effective policy solutions at the national and international levels.

  17. Essays on A Rational Expectations Model of Dividend Policy and Stock Returns

    E-Print Network [OSTI]

    Nam, Changwoo

    2011-10-21T23:59:59.000Z

    : : : : : : : : : : : : : : : 77 III Size and Value Factors and the Size-BE=ME Portfolios : : : : : : : 78 IV Logit Regressions of Propensities of Payouts: Dividend Payment and Stock Repurchase, 1962 to 2009 : : : : : : : : : : : : : : : : : : 79 V Statistics for Measures... : : : : : : : : : : : : : 94 11 Time-Varying VMG and Value Spread in Quarterly Frequency : : : : 95 12 Expected Returns on 10 Portfolios Formed on BE=ME and Mar- ket Size : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 96 13 Solow Residual and Dividend...

  18. Measuring bilingual classroom activities according to a four-dimensional model

    E-Print Network [OSTI]

    Bruce, Karen Leigh

    1995-01-01T23:59:59.000Z

    schools. Although most teachers purported to use English and Spanish equally, twenty-five percent of the classrooms did not have instruction in Spanish other than reading and SSL (Spanish as a Second Language) In some classrooms the languages served... Portfolio Review/ Math Centers Reading/ Writing I-lomework Assignment Preparation Parent Portfolio Review (once a week) End of School Day University Staff'-Teacher Debriefing/ Staff Development (twice weekly) As of 1993, this particular school...

  19. Reliability of Current Biokinetic and Dosimetric Models for Radionuclides: A Pilot Study

    SciTech Connect (OSTI)

    Leggett, Richard Wayne [ORNL; Eckerman, Keith F [ORNL; Meck, Robert A. [U.S. Nuclear Regulatory Commission

    2008-10-01T23:59:59.000Z

    This report describes the results of a pilot study of the reliability of the biokinetic and dosimetric models currently used by the U.S. Nuclear Regulatory Commission (NRC) as predictors of dose per unit internal or external exposure to radionuclides. The study examines the feasibility of critically evaluating the accuracy of these models for a comprehensive set of radionuclides of concern to the NRC. Each critical evaluation would include: identification of discrepancies between the models and current databases; characterization of uncertainties in model predictions of dose per unit intake or unit external exposure; characterization of variability in dose per unit intake or unit external exposure; and evaluation of prospects for development of more accurate models. Uncertainty refers here to the level of knowledge of a central value for a population, and variability refers to quantitative differences between different members of a population. This pilot study provides a critical assessment of models for selected radionuclides representing different levels of knowledge of dose per unit exposure. The main conclusions of this study are as follows: (1) To optimize the use of available NRC resources, the full study should focus on radionuclides most frequently encountered in the workplace or environment. A list of 50 radionuclides is proposed. (2) The reliability of a dose coefficient for inhalation or ingestion of a radionuclide (i.e., an estimate of dose per unit intake) may depend strongly on the specific application. Multiple characterizations of the uncertainty in a dose coefficient for inhalation or ingestion of a radionuclide may be needed for different forms of the radionuclide and different levels of information of that form available to the dose analyst. (3) A meaningful characterization of variability in dose per unit intake of a radionuclide requires detailed information on the biokinetics of the radionuclide and hence is not feasible for many infrequently studied radionuclides. (4) The biokinetics of a radionuclide in the human body typically represents the greatest source of uncertainty or variability in dose per unit intake. (5) Characterization of uncertainty in dose per unit exposure is generally a more straightforward problem for external exposure than for intake of a radionuclide. (6) For many radionuclides the most important outcome of a large-scale critical evaluation of databases and biokinetic models for radionuclides is expected to be the improvement of current models. Many of the current models do not fully or accurately reflect available radiobiological or physiological information, either because the models are outdated or because they were based on selective or uncritical use of data or inadequate model structures. In such cases the models should be replaced with physiologically realistic models that incorporate a wider spectrum of information.

  20. The economics of US greenhouse gas emissions reduction policy : assessing distributional effects across households and the 50 United States using a recursive dynamic computable general equilibrium (CGE) model

    E-Print Network [OSTI]

    Look, Wesley Allen

    2013-01-01T23:59:59.000Z

    The political economy of US climate policy has revolved around state- and district- level distributional economics, and to a lesser extent household-level distribution questions. Many politicians and analysts have suggested ...