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Note: This page contains sample records for the topic "analyst model portfolios" from the National Library of EnergyBeta (NLEBeta).
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1

Next Generation Excel: Modeling in Excel for Analysts and MBAs  

Science Conference Proceedings (OSTI)

Dr. Isaac Gottlieb personally trained 35 of our top analysts and finance professionals in a customized advanced Excel seminar. Many of the tools covered in this book were part of this well-received training. For the past five years, Isaacs monthly Excel-Tip-Of-The-Month ...

Isaac Gottlieb

2009-12-01T23:59:59.000Z

2

Global Industry Analysts | Open Energy Information  

Open Energy Info (EERE)

Global Industry Analysts Global Industry Analysts Jump to: navigation, search Name Global Industry Analysts Address 6150 Hellyer Avenue Place San Jose, California Zip 95138 Product Market research services Year founded 1987 Number of employees 501-1000 Phone number (408) 528-9966 Website http://www.strategyr.com/ Region Bay Area References Global Industry Analysts[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Global Industry Analysts Global Industry Analysts, Inc., (GIA) offers one of the world's largest portfolios of research reports in terms of topics covered, geographic regions analyzed, companies profiled, and pages published. The company's current portfolio consists of more than 900 Global Strategic Business Reports (large multi-client research programs); 45,000+ Market Trend

3

Operations Research Analysts  

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

Operations Research Analysts Operations Research Analysts The U.S. Energy Information Administration (EIA) within the Department of Energy has forged a world-class information program that stresses quality, teamwork, and employee growth. In support of our program, we offer a variety of profes- sional positions, including the Operations Research Analyst, whose work is associated with the development and main- tenance of energy modeling systems. Responsibilities: Operations Research Analysts perform or participate in one or more of the following important functions: * Develop, design, perform, and document a broad range of analyses and studies involving current and projected energy pricing, production, supply, and distribution, and consumption * Using computer programming skills and knowledge of energy industries and markets, designs and develops math-

4

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

E-Print Network (OSTI)

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, but to also take into account different interactions between projects in order to manage whole portfolios. This study is the step-by-step representation of the method of optimizing portfolios of risky petroleum E&P projects, an illustrated method based on Markowitz’s Portfolio Theory. This method uses the covariance matrix between projects’ expected return in order to optimize their portfolio. The developed computer model consists of four major modules. The first module generates petroleum price forecasts. In our implementation we used the price forecasting method based on Sequential Gaussian Simulation. The second module, Monte Carlo, simulates distribution of reserves and a set of expected production profiles. The third module calculates expected after tax net cash flows and estimates performance indicators for each realization, thus yielding distribution of return for each project. The fourth module estimates covariance between return distributions of individual projects and compiles them into portfolios. Using results of the fourth module, analysts can make their portfolio selection decisions. Thus, an advanced computer model for optimization of the portfolio of petroleum assets has been developed. The model is implemented in a MATLAB® computational environment and allows optimization of the portfolio using three different return measures (NPV, GRR, PI). The model has been successfully applied to the set of synthesized projects yielding reasonable solutions in all three return planes. Analysis of obtained solutions has shown that the given computer model is robust and flexible in terms of input data and output results. Its modular architecture allows further inclusion of complementary “blocks” that may solve optimization problems utilizing different measures (than considered) of risk and return as well as different input data formats.

Aibassov, Gizatulla

2007-12-01T23:59:59.000Z

5

FROM ANALYSTS ' EARNINGS FORECASTS  

E-Print Network (OSTI)

We examine the accuracy and bias of intrinsic equity prices estimated from three accounting-based valuation models using analyst’s earnings forecasts over a four-year horizon. The models are: (a) the earnings capitalization model, (b) the residual income model without a terminal value, and (c) the residual income model with a terminal value that assumes residual income will grow beyond the horizon at a constant rate determined from the expected residual income growth rate over the forecast horizon. Our analysis is based on valuation errors that are calculated by comparing estimated prices to actual prices. We contribute to the literature by examining whether: (i) the analysts ’ earnings forecasts convey information about value beyond that conveyed by current earnings, book value and dividends, (ii) the use of firm specific growth rates in terminal value calculations results in more unbiased and accurate valuations than the use of constant growth rates, and (iii) different models perform better under different ex-ante conditions. We find that analysts ’ earnings forecasts convey information about value beyond that conveyed by current earnings, book values and dividends. Each of the models that we used has valuation errors that decline monotonically as the horizon increases implying that earnings forecasts at each horizon convey new value relevant information. We cannot find a clear advantage to using firm specific growth rates instead of a constant rate of 4 % across all sample

Theodore Sougiannis; Takashi Yaekura

2000-01-01T23:59:59.000Z

6

Developing Oregon's renewable energy portfolio using fuzzy goal programming model  

Science Conference Proceedings (OSTI)

Renewable energy continues to be a hot topic in the United States affecting security and sustainability. A model to create renewable energy portfolio is established using guidelines drawn by Oregon's Renewable Portfolio Standard (RPS) legislation with ... Keywords: Fuzzy goal programming, Oregon, Renewable energy portfolio

Tugrul U. Daim; Gulgun Kayakutlu; Kelly Cowan

2010-11-01T23:59:59.000Z

7

Optimal portfolios using Linear Programming models  

E-Print Network (OSTI)

Feb 12, 2003 ... three portfolios will then be compared with various utility functions and with out of sample data. ... interest rate, and not allowing short selling.

8

A Requirements Analyst's Apprentice: A Proposal  

E-Print Network (OSTI)

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 ...

Reubenstein, Howard

9

The electricity portfolio simulation model (EPSim) technical description.  

SciTech Connect

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.

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

2005-09-01T23:59:59.000Z

10

The electricity portfolio simulation model (EPSim) technical description.  

SciTech Connect

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.

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

2005-09-01T23:59:59.000Z

11

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

E-Print Network (OSTI)

Electricity RequirementsElectricity Requirements Council Load Forecast and Portfolio Model Range 10000 15000 and Conservation Council for the Load Forecasting Advisory Committee Friday June 27, 2008 2 Overview Electricity RequirementsElectricity Requirements 5th Plan Non-DSI Price Effects Sales Forecasts 12000 14000

12

Modeling and Analysis of Renewable Generation in a Sustainable Portfolio  

Science Conference Proceedings (OSTI)

This Technical Update reports the results of work to enhance EPRIs financial model of the U.S. electric sector by improving the representations for the role wind and biomass generation in the future U.S. generation mix. The model simulates generation capacity expansion and dispatch at the national and regional levels over the period 2010 to 2050. The model evaluates the possible effects of climate policy, renewable portfolio standard (RPS), energy efficiency, technology availability, and market scenarios...

2010-12-17T23:59:59.000Z

13

Patricia Hagerty, Aviation Program Analyst - Bio | Department...  

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

Patricia Hagerty, Aviation Program Analyst - Bio Patricia Hagerty, Aviation Program Analyst - Bio HagertyPatPersonalProfile.pdf More Documents & Publications Ferrin Moore, Senior...

14

An importance sampling method for portfolio cvar estimation with Gaussian copula models  

Science Conference Proceedings (OSTI)

We developed an importance sampling method to estimate Conditional Value-at-Risk for portfolios in which inter-dependent asset losses are modeled via a Gaussian copula model. Our method constructs an importance sampling distribution by shifting the latent ...

Pu Huang; Dharmashankar Subramanian; Jie Xu

2010-12-01T23:59:59.000Z

15

Patricia Hagerty, Aviation Program Analyst  

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

OFFICE OF AVIATION MANAGEMENT Personal Profile Name: Patricia L. "Pat" Hagerty Title: Aviation Program Analyst Organization: Office of Aviation Management/MA-30 Address: Headquarters, United States Department of Energy 1000 Independence Avenue S.W. Washington, D.C. 20585 E-mail Address: patricia.hagerty@hq.doe.gov Phone Number: Office: (202) 586-5489, Mobile: (240) 477-3671 Fax Number: (202) 586-6008 Field of Expertise/ Experience: Prior to joining the Office of Aviation Management on March 28, 2008, Pat was a Transportation Industry Analyst (TIA) in the Department of Transportation's Office of the General Counsel, Aviation Consumer Protection Division. As a TIA, Pat evaluated domestic and foreign air carriers to ensure compliance with existing consumer protection

16

Complexity management through product portfolio cost modeling and optimization  

E-Print Network (OSTI)

A significant amount of complexity exists within the brand and product portfolios of PharmaCo. This complexity is driven by several factors: first, medical needs for differing products and dosages; second, marketing requests ...

Sommerkorn, Peter (Peter Wilford)

2013-01-01T23:59:59.000Z

17

Exploring the analytical processes of intelligence analysts  

Science Conference Proceedings (OSTI)

We present an observational case study in which we investigate and analyze the analytical processes of intelligence analysts. Participating analysts in the study carry out two scenarios where they organize and triage information, conduct intelligence ... Keywords: artifact analysis, collaboration, homeland security, intelligence analysis, national security, participant observation, participatory design, work practices, work-oriented design

George Chin, Jr.; Olga A. Kuchar; Katherine E. Wolf

2009-04-01T23:59:59.000Z

18

Quantile approximations in auto-regressive portfolio models  

Science Conference Proceedings (OSTI)

This paper develops an analytical approximation for the distribution function of a terminal value of a periodic series of buy-and-hold investments placed over a fixed time horizon for the case when log-returns of assets follow a p-th order vector auto-regressive ... Keywords: Multi-period portfolio return, Taylor conditioned approximation, Vector auto-regressive returns

Aleš Ah?an; Igor Masten; Sašo Polanec; Mihael Perman

2011-02-01T23:59:59.000Z

19

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

E-Print Network (OSTI)

Mar 13, 2008 ... can be solved as a quadratic programming problem. Portfolio ...... management, a coherent risk can be viewed as a maximum ..... A sample-based approach (SB): The samples of returns from the one-year training set are used.

20

What Are Analysts Really Good At?  

E-Print Network (OSTI)

Sell-side analysts employ different benchmarks when defining their recommendations. A ‘buy ’ for some brokers means the stock is expected to outperform its industry, while for other brokers it means the stock is expected to outperform the market, or some absolute return. We use these benchmarks to analyze the role of stock picking, industry picking, and market timing in the investment value of stock recommendations. Analysis of the relation between analysts ’ recommendations and their forecasts suggests that analysts abide by their benchmarks. We find strong evidence that the investment value of stock recommendations stems from stock picking within a particular industry. We find no evidence of either industry picking or market timing skills.

Ohad Kadan; Leonardo Madureira; Rong Wang; Tzachi Zach

2013-01-01T23:59:59.000Z

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


21

Web based portfolio optimization  

Science Conference Proceedings (OSTI)

The portfolio optimization is implemented as e-service through Internet. Four-tier client-server model of WAN-based information system is designed satisfying the intersection of several domains: financial investments, optimization theory and information ... Keywords: portfolio optimization, system algorithmic architecture of information systems, web based information system

Todor Stoilov; Krasimira Stoilova

2009-06-01T23:59:59.000Z

22

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

E-Print Network (OSTI)

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.

Bahsoun, Wael; Taksar, Michael I

2009-01-01T23:59:59.000Z

23

Computation of feasible portfolio controlstrategies for an insurance company using a discrete time asset/liability model  

Science Conference Proceedings (OSTI)

A nonlinear discrete time asset/liability model is developed for an insurance company selling investment policies with a guaranteed minimum rate of return and a fixed maturity date. The model accommodates time-dependent investment strategies and transaction ... Keywords: Discrete time asset/liability models, Dynamic financial analysis, Feasible portfolio control, Investment policies with a guaranteed minimum rate of return

C. Frangos; S. A. Zenios; Y. Yavin

2004-08-01T23:59:59.000Z

24

Following the leader: A study of individual analysts’ earnings forecasts  

E-Print Network (OSTI)

This paper develops and tests procedures for identifying lead analysts based on the timeliness of analyst forecast revisions, the trading levels associated with these revisions, and forecast accuracy. Our framework provides an objective assessment of analyst quality that differs from the standard approach that uses survey evidence to rate analysts. Using a sample of equity analysts, we find that lead analysts identified by our procedures have more price impact than follower analysts. Evidence also is presented that suggests analysts use recent stock price trends to help them modify forecast revisions, regardless of whether the analyst is a leader or a follower. Finally, we find that our ranking procedures based on timeliness, trading volume, and accuracy are consistent. That is, if analysts are selected as Full service brokerage firms provide many services to their customers in addition to the execution of trades. One such service is the provision of information concerning the investment value of equity securities. This information is typically produced by analysts with expertise in tracking certain industries and selected firms within those industries. The

Rick A. Cooper; Theodore E. Day; Craig M. Lewis

2001-01-01T23:59:59.000Z

25

Traders' collective portfolio optimization with transaction costs: towards microscopic validation of agent-based models  

E-Print Network (OSTI)

Despite the availability of very detailed data on financial market, agent-based modeling is hindered by the lack of information about real-trader behavior. This makes it impossible to validate agent-based models, which are thus reverse-engineering attempts. This work is a contribution to the building of a set of stylized facts about the traders themselves. Using the client database of Swissquote Bank SA, we find that the transaction cost structure determines on average to a large extend the relationship between the mean turnover per transaction of an investor and his mean wealth. A simple extension of CAPM that includes variable transaction costs is able to reproduce qualitatively the observed behaviors. We argue that this shows the collective ability of a population to construct a mean-variance portfolio that takes into account transaction costs.

de Lachapelle, David Morton

2010-01-01T23:59:59.000Z

26

Portfolio Optimization with Stochastic Dominance Constraints  

E-Print Network (OSTI)

on the portfolio return rate. We develop optimality and duality theory for these models. We construct equivalent optimization models with utility functions.

27

Optioned Portfolio Selection: Models and Analysis Jianfeng LIANG  

E-Print Network (OSTI)

and Oldenkamp [8] proposed a linear programming model with a given level of guaranteed return. The so

Zhang, Shuzhong

28

Robust Portfolio Optimization with Derivative Insurance Guarantees  

E-Print Network (OSTI)

Jan 13, 2009 ... Dert and Oldenkamp [18] propose a model that maximizes the expected return of a portfolio consisting of a single index stock and several.

29

Managing and Valuing a Corporate IT Portfolio Using Dynamic Modeling of Software Development and Maintenance Processes  

E-Print Network (OSTI)

The goal of this research is to enable performance improvements in IT portfolio management. Through investigation of software practices at a Fortune 500 company, we were able to demonstrate how

Daniel Goldsmith; Mit Sloan

2010-01-01T23:59:59.000Z

30

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

31

Credit portfolio management using two-level particle swarm optimization  

Science Conference Proceedings (OSTI)

In this paper, we propose a novel Two-level Particle Swarm Optimization (TLPSO) to solve the credit portfolio management problem. A two-date credit portfolio management model is considered. The objective of the manager is to minimize the maximum expected ... Keywords: Credit portfolio management, Genetic algorithm, Particle swarm optimization, Two-level particle swarm optimization

Fu-Qiang Lu, Min Huang, Wai-Ki Ching, Tak Kuen Siu

2013-07-01T23:59:59.000Z

32

Modeling renewable portfolio standards for the annual energy outlook 1998 - electricity market module  

SciTech Connect

The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The EMM represents the generation, transmission, and pricing of electricity. It consists of four submodules: the Electricity Capacity Planning (ECP) Submodule, the Electricity Fuel Dispatch (EFD) Submodule, the Electricity Finance and Pricing (EFP) Submodule, and the Load and Demand-Side Management (LDSM) Submodule. For the Annual Energy Outlook 1998 (AEO98), the EMM has been modified to represent Renewable Portfolio Standards (RPS), which are included in many of the Federal and state proposals for deregulating the electric power industry. A RPS specifies that electricity suppliers must produce a minimum level of generation using renewable technologies. Producers with insufficient renewable generating capacity can either build new plants or purchase {open_quotes}credits{close_quotes} from other suppliers with excess renewable generation. The representation of a RPS involves revisions to the ECP, EFD, and the EFP. The ECP projects capacity additions required to meet the minimum renewable generation levels in future years. The EFD determines the sales and purchases of renewable credits for the current year. The EFP incorporates the cost of building capacity and trading credits into the price of electricity.

1998-02-01T23:59:59.000Z

33

Management Earnings Forecasts and Value of Analyst Forecast Revisions  

E-Print Network (OSTI)

Prior studies evaluate the relative importance of the sources of value that financial analysts bring to the market based on the price impact of forecast revisions over the event time. We find that management earnings forecasts influence the timing and precision of analyst forecasts. More importantly, evidence suggests that prior studies ’ finding of weaker (stronger) stock-price responses to forecast revisions in the period immediately after (before) the prior-quarter earnings announcement is likely to be the artifact of a temporal pattern of management earnings forecasts over the event time. To the extent that management earnings forecasts are public disclosures, our results suggest that the relative importance of analysts ' information discovery role documented in prior studies is likely to be overstated.

Yongtae Kim; Minsup Song

2013-01-01T23:59:59.000Z

34

An Empirical Analysis of Analysts' Target Prices: Short Term . . .  

E-Print Network (OSTI)

Using a large database of analysts' target prices, we examine short-term market reactions to target price announcements and long-term co-movement of target and stock prices. We find a significant market reaction to the information contained in analysts' target prices, both unconditional and conditional on contemporaneously issued stock recommendations and earnings forecast revisions. For example, the spread in average announcement day abnormal returns between positive and negative target price revisions is as high as 7 percent. We also find that stock recommendations and earnings forecast revisions are informative controlling for the information in target prices. Using a cointegration approach, we explore the long-term behavior of market and target prices and estimate the system's long-term equilibrium. In this equilibrium a typical firm's one-year ahead target price is 22 percent higher than its current market price. Finally, while market prices react to the information conveyed in analysts' reports, we show that any subsequent corrections towards the long-term equilibrium are, in effect, done by analysts alone.

Alon Brav; Reuven Lehavy

2001-01-01T23:59:59.000Z

35

Robust Portfolio Optimization with Derivative Insurance Guarantees  

E-Print Network (OSTI)

Robust portfolio optimization aims to maximize the worst-case portfolio return given that the asset returns are allowed to vary within a prescribed uncertainty set. If the uncertainty set is not too large, the resulting portfolio performs well under normal market conditions. However, its performance may substantially degrade in the presence of market crashes, that is, if the asset returns materialize far outside of the uncertainty set. We propose a novel robust optimization model for designing portfolios that include European-style options. This model trades o weak and strong guarantees on the worst-case portfolio return. The weak guarantee applies as long as the asset returns are realized within the prescribed uncertainty set, while the strong guarantee applies for all possible asset returns. The resulting model constitutes a convex second-order cone program, which is amenable to e cient numerical solution procedures. We evaluate the model using simulated and empirical backtests and analyze the impact of the insurance guarantees on the portfolio performance. Key words: robust optimization, portfolio optimization, portfolio insurance, second-order cone programming. 1

Steve Zymler; Berç Rustem; Daniel Kuhn

2010-01-01T23:59:59.000Z

36

Energy Star Portfolio Manager®  

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

May 2013 What's New in Portfolio Manager ? EPA's ENERGY STAR Portfolio Manager tool helps you measure and track energy use, water use, and greenhouse gas emissions of your...

37

TERMS OF REFERENCE REGIONAL ANALYST, Election Assessment Mission (EAM)  

E-Print Network (OSTI)

The ODIHR is the leading agency in Europe in the field of election observation. It coordinates and organizes the deployment of several observation missions with thousands of observers every year to assess the compliance of elections in OSCE participating States in line with OSCE commitments, other international standards for democratic elections and national legislation. Its unique methodology provides an in-depth insight into all elements of an electoral process, and permits to make concrete recommendations to further improve electoral processes. Objective Under the direction of the Head of the ODIHR Election Assessment Mission (EAM), the Regional Analyst is responsible for observing all aspects of the election cycle, and gaining an in-depth understanding of the overall pre-election administrative procedures and campaign environment in the area of deployment. The Regional Analyst should pay particular attention to the following aspects of the election cycle: • voter identification and registration;

unknown authors

2010-01-01T23:59:59.000Z

38

Drain Holes for Criticality Safety Control Guidance for the Analyst  

SciTech Connect

Drain and overflow holes are integral to the nuclear criticality safety basis of many processes and provide different functions inachieving their safety goaL Inmost cases at the Oak RidgeY-12 Plant, unverified engineering judgment has been previously used to conclude that the holes were adequate to accomplish their mission. Such judgment may adequately serve some configurations but is inadequate in other applications. It is important to understand and document the exact function of every drain for both normal and upset process conditions. After this is accomplished, the holes must be demonstrated to be capable of penlorming their intended safety fi,mction. This paper gives examples of different types of drains used for criticality safety, gives examples of how to ensure they will work as intended, and gives guidance to the analyst who relies on such holes to prevent criticality accidents.

LeTellier, M.S.; Smallwood, D.J.

1999-05-10T23:59:59.000Z

39

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

E-Print Network (OSTI)

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 this pressure could affect their clients. Using annual analyst forecasts available during the planning phase of the audit, I examine whether this form of earnings management pressure affects clients’ financial statement misstatements. Next, I investigate whether auditors respond to earnings forecast pressure through audit fees and reporting delay. I find that higher levels of analyst forecast pressure increase the likelihood of client restatement. I also find that auditors charge higher audit fees and delay the issuance of the audit report in response to pressure from analyst expectations. Finally, I find that when audit clients are subject to high analyst forecast pressure, a high audit fee response by auditors mitigates the likelihood of client misstatements.

Newton, Nathan J.

2013-08-01T23:59:59.000Z

40

Topic 1 The analyst is interested in knowing if a particular ...  

Science Conference Proceedings (OSTI)

... the analyst is looking for proliferation of diesel ... reported that it had active investigations into 50 ... in Cuban waters without effective resistance by local ...

2004-10-26T23:59:59.000Z

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


41

Optimal Guaranteed Return Portfolios and the Casino Effect  

Science Conference Proceedings (OSTI)

In this paper we address the problem of determining optimal portfolios that may include options in a framework of return maximization with risk constraints relative to a benchmark, as well as in terms of absolute returns. The model we propose allows ... Keywords: Downside risk, Linear programming, Options, Portfolio optimization

Cees Dert; Bart Oldenkamp

2000-09-01T23:59:59.000Z

42

HYDROGEN EMBRITTLEMENT OF METALS: A PRIMER FOR THE FAILURE ANALYST  

DOE Green Energy (OSTI)

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.

Louthan, M

2008-01-31T23:59:59.000Z

43

Use Portfolio Manager | ENERGY STAR  

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

Use Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial...

44

Efficient multi-energy generation portfolios for the future  

E-Print Network (OSTI)

This paper introduces the application of mean-variance portfolio theory to portfolios generating multiple forms of energy such as electricity, heating or cooling power. Portfolio theory has already been successfully applied to several cases of electricity generation planning. A general extension of this method to an arbitrary number of output energies will be developed in this paper. Instead of calculating means and variances from time series of historical data- as it is commonly done- a set of several possible scenarios is used. By this means, the model allows to appropriately take into account uncertainties about future developments, which may be able to alter the economic performance of the considered generation technologies. In order to illustrate the proposed method, the model is applied to a portfolio of distributed electricity and heat generation technologies. In so doing, it is shown how efficient risk-return combinations for multi-energy generation portfolios can be determined. 1

Florian Kienzle; Göran Andersson

2008-01-01T23:59:59.000Z

45

A New Cone Programming Approach for Robust Portfolio Selection ?  

E-Print Network (OSTI)

Dec 10, 2006 ... drawbacks, we consider a factor model for the random asset returns. For this model, we ... extended this method to robust index tracking and active portfolio management problems. ...... Public Service Enterprise Group. 34 ...

46

PNNL: Available Technologies - Browse Technologies by Portfolio  

Search PNNL. PNNL Home; About; Research; Publications; Jobs; News; Contacts; Browse Technologies by Portfolio. Select a technology portfolio to view ...

47

Capstone Workshop Portfolio | Department of Energy  

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

Capstone Workshop Portfolio Capstone Workshop Portfolio Department of Energy Quadrennial Technology Review Capstone Workshop More Documents & Publications Quadrennial...

48

Quadrennial Technology Review Workshop Portfolios | Department...  

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

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

49

Columbia- Renewables Portfolio Standard  

Energy.gov (U.S. Department of Energy (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 &...

50

Alternative Energy Portfolio Standard  

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

Pennsylvania's Alternative Energy Portfolio Standard (AEPS), created by S.B. 1030 on November 30, 2004, requires each electric distribution company (EDC) and electric generation supplier (EGS) to...

51

Portfolio Optimization: Concepts and Challenges  

Science Conference Proceedings (OSTI)

The term "portfolio optimization" -- the process of finding and exploiting opportunities to add value by changing the composition of a business portfolio -- has been occurring with increasing frequency in the electric power industry. For example, portfolio optimization has appeared as a topic on agendas for numerous industry conferences. Vendors of commercial software for trading and risk management also are starting to promote portfolio optimization's capabilities. Though portfolio optimization is a hot...

2002-12-18T23:59:59.000Z

52

Ambiguity in portfolio selection Georg Pflug  

E-Print Network (OSTI)

Ambiguity in portfolio selection Georg Pflug David Wozabal Abstract In this paper, we consider- cess, not just a single optimization task. It comprises of the selection of a statistical model the ambiguity in choosing the probability model and therefore is robust in following sense: The selected

Pflug, Georg

53

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

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

10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig 10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig 10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig March 31, 2011 - 4:58pm Addthis Scientist Kirsten Orwig Scientist Kirsten Orwig Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Working at the intersection of renewable energy technologies and meteorology, National Renewable Energy Laboratory (NREL) scientist Kirsten Orwig specializes in transmission and grid integration for wind and solar energy. She shared with us how her experiences in storm chasing led her to this position at NREL and why understanding meteorology is important for advancing reliable solar and wind energy. Q: What prompted you to specialize in a scientific field? Kirsten Orwig: Growing up I was always fascinated with natural phenomena,

54

NEMS may be addressed to the following analysts:  

E-Print Network (OSTI)

This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. PREFACE The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document

An Overview; Aeo Susan H. Holte

2000-01-01T23:59:59.000Z

55

A BEHAVIOURAL APPROACH TO EFFICIENT PORTFOLIO FORMATION By  

E-Print Network (OSTI)

In this paper we investigate the portfolio performance of subjective forecasts given in different forms. In constructing the efficient frontier, the expectation formation processes based is on subjective forecasts and human behaviour, rather than past prices. The efficient portfolios are first constructed using point, interval and probabilistic forecasts. Next their performance is compared to those constructed using the standard approach of time series data. The subjective forecast are given by actual portfolio managers who forecast the prices of stocks actually traded on the stock exchange on a real time basis. The first contribution of the paper is to show that the portfolio performance of subjective forecasts are much more superior to those of standard time series modeling. The next contribution of the paper lies in the fact that it employs experts, professional fund managers with substantive expertise, as forecasters. Third, in this research, point, interval and probabilistic forecasts of expert subjects are investigated and therefore, findings are robust to the task format.

Gulnur Muradoglu; Aslihan Salih; Muhammet Mercan

2001-01-01T23:59:59.000Z

56

Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis  

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

Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis Speaker(s): Paul Mathew Date: January 4, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Stephen Wiel Dr. Mathew's presentation will describe two aspects of energy efficiency and sustainable design, viewed from the perspective of market transformation: 1. Building Simulation: case study on the use of detailed energy simulation for evaluating advanced building systems and building integrated energy systems, using DOE-2 and a CAD-integrated, heat-balance-based energy simulation tool developed by Dr. Mathew at CMU. 2. Energy Portfolio Analysis: a "curve-based" actuarial approach for modeling and valuing large portfolios of energy efficiency projects and tools that were developed at Enron to support this business strategy

57

Enter data into Portfolio Manager | ENERGY STAR  

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

Enter data into Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction...

58

Portfolio Manager Technical Reference: Canadian National Energy...  

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

Home Buildings & Plants Portfolio Manager Technical Reference: Canadian National Energy Use Intensity Secondary menu About us Press room Contact Us Portfolio Manager Login...

59

Renewable Energy Portfolio Standard | Department of Energy  

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

Portfolio Standard Renewable Energy Portfolio Standard Eligibility Investor-Owned Utility Municipal Utility Retail Supplier Rural Electric Cooperative Savings For Bioenergy...

60

Renewable Portfolio Standard (New Brunswick, Canada) | Department...  

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

Portfolio Standard (New Brunswick, Canada) Renewable Portfolio Standard (New Brunswick, Canada) Eligibility Investor-Owned Utility Local Government MunicipalPublic Utility Rural...

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


61

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

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

Portfolio Standard (Prince Edward Island, Canada) Renewable Portfolio Standard (Prince Edward Island, Canada) Eligibility StateProvincial Govt Savings For Buying & Making...

62

Renewable Portfolio Standards by State, 2007  

U.S. Energy Information Administration (EIA)

Renewable Portfolio Standards and State Mandates by State, 2007 State. Title: Renewable Portfolio Standards by State, 2007 Subject: Renewable Energy Author: Louise ...

63

Energy Analyst  

E-Print Network (OSTI)

• 19 % of California’s electric use is from the conveyance, treatment, and end-use of water. • (But this does not apply to only CA!) 2 • The CEC has noted: “If all of the identified urban water savings could be achieved, the energy savings would achieve 95 % of the savings expected from the 2006-2008 energy efficiency programs, at 58 % of the cost. ” What Can Utilities/Water Agencies Gain? • Leveraging resources: – reduced program costs – improved cost effectiveness – increased incentive amounts – streamlined energy and water audits Delay or eliminate the need for new, marginal water sources that tend to be energy intensive: – i.e. desalination, imports, brackish groundwater Meet GHG reduction goals 3 Why Will Consumers Engage? • 136 in-depth interviews about energy use in California homes • Households frequently mention water unprompted Water is more tangible than energy; water scarcity is collectively understood Avoiding waste is a promising motivator for conservation behaviors; water waste is more visible than energy waste

Alison Williams; M. S. Hydrology

2010-01-01T23:59:59.000Z

64

A Monte Carlo Approach To Generator Portfolio Planning And Carbon Emissions  

Open Energy Info (EERE)

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

65

World Oil Refining Logistics Demand Model  

Reports and Publications (EIA)

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.

Information Center

1994-03-01T23:59:59.000Z

66

Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts Focus Area: Solar Topics: Potentials & Scenarios Website: cleanenergysolutions.org/tools/solar Equivalent URI: cleanenergysolutions.org/content/global-solar-opportunity-tool-tool-po Language: English The Global Solar Opportunity Tool enables analysis and visualization of the technical and economic potential for solar electric technologies ranging

67

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

DOE Patents (OSTI)

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.

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

68

Carbon Sequestration Project Portfolio  

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

Home > Technologies > Carbon Storage > Reference Shelf > Project Portfolio Home > Technologies > Carbon Storage > Reference Shelf > Project Portfolio Carbon Storage 2011 Carbon Storage Project Portfolio Table of Contents CARBON STORAGE OVERVIEW Carbon Storage Program Contacts [PDF-26KB] Carbon Storage Projects National Map [PDF-169KB] State Projects Summary Table [PDF-39KB] Carbon Storage Program Structure [PDF-181KB] Selected Carbon Sequestration Program Papers and Publications The U.S. Department of Energy's R&D Program to Reduce Greenhouse Gas Emissions Through Beneficial Uses of Carbon Dioxide (2011) [PDF-3.3MB] Greenhouse Gas Science and Technology Carbon Capture and Sequestration: The U.S. Department of Energy's R&D Efforts to Characterize Opportunities for Deep Geologic Storage of Carbon Dioxide in Offshore Resources (2011) [PDF-445KB]

69

Role of Renewable Energy in a Sustainable Generation Portfolio  

Science Conference Proceedings (OSTI)

This technical update report documents efforts to enhance and update the modeling of renewable generation options in EPRI's capacity expansion and dispatch financial model. Using this updated model, the possible effects on the U.S. electric sector of various scenarios for future federal renewable portfolio standard (RPS) and climate policies are evaluated and compared.

2008-01-30T23:59:59.000Z

70

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

E-Print Network (OSTI)

Keywords Portfolio Optimization · Real Assets · CVaR · Decomposition ... techniques evolved to the use of enterprise portfolio management, very common.

71

Category:Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

in this category, out of 5 total. A Analytical Modeling C Conceptual Model M Modeling-Computer Simulations N Numerical Modeling P Portfolio Risk Modeling Retrieved from "http:...

72

World Oil Refining Logistics Demand Model "World" Reference Manual  

Reports and Publications (EIA)

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.

Information Center

1994-03-01T23:59:59.000Z

73

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

E-Print Network (OSTI)

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 ...

Morris, Jennifer

74

Energy Efficiency Portfolio Standard | Department of Energy  

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

Efficiency Portfolio Standard Efficiency Portfolio Standard Energy Efficiency Portfolio Standard < Back Eligibility Investor-Owned Utility Rural Electric Cooperative Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Manufacturing Buying & Making Electricity Solar Water Heating Program Info State Hawaii Program Type Energy Efficiency Resource Standard Provider Hawaii Public Utilities Commission '''''Note: Hawaii's Energy Efficiency Portfolio Standard (EEPS) will not be separate from the state's Renewable Portfolio Standard (RPS) until January 1, 2015. Rules have not yet been established for the EEPS.''''' Hawaii enacted legislation ([http://www.capitol.hawaii.gov/session2009/bills/HB1464_CD1_.htm HB 1464]) in June 2009 that established an Energy Efficiency Portfolio Standard

75

Growth Optimal Portfolio Selection Under Proportional Transaction Costs with Obligatory Diversification  

Science Conference Proceedings (OSTI)

A continuous time long run growth optimal or optimal logarithmic utility portfolio with proportional transaction costs consisting of a fixed proportional cost and a cost proportional to the volume of transaction is considered. The asset prices are modeled as exponent of diffusion with jumps whose parameters depend on a finite state Markov process of economic factors. An obligatory portfolio diversification is introduced, accordingly to which it is required to invest at least a fixed small portion of our wealth in each asset.

Duncan, T., E-mail: duncan@math.ku.edu; Pasik Duncan, B., E-mail: bozenna@math.ku.ed [University of Kansas, Department of Mathematics (United States); Stettner, L., E-mail: stettner@impan.gov.p [Institute of Mathematics Polish Acad. Sci. (Poland)

2011-02-15T23:59:59.000Z

76

Household savings and portfolio choice  

E-Print Network (OSTI)

This thesis consists of three essays that examine household savings and portfolio choice behavior. Chapter One analyses the effects of employer matching contributions and tax incentives on participation and contribution ...

Klein, Sean Patrick

2010-01-01T23:59:59.000Z

77

Guam- Renewable Energy Portfolio Goal  

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

78

Crosscutting Research Sensors and Controls Project Portfolio  

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

CROSSCUTTING CROSSCUTTING RESEARCH PROGRAM The National Energy Technology Laboratory (NETL) Crosscutting Research Program is an applied research effort with a multi-disciplinary approach aimed at addressing barriers to clean fossil energy-based power generation and fosters breakthrough concepts that offer the potential to result in a step change improvement over current technology. Crosscutting Research's mission space is bound by investments in innovative sensor and control technology, advanced materials, revolutionary modeling and simulation tools, and university training and research that promote the education of students at U.S. universities and colleges. Crosscutting Research Sensors and Controls Project Portfolio the ENERGY lab NATIONAL ENERGY TECHNOLOGY LABORATORY

79

Role of Renewable Energy in Sustainable Electricity Generation Portfolios  

Science Conference Proceedings (OSTI)

This Technical Update describes the use of energy system and capacity planning models and alternative scenarios of the future to evaluate the potential role of renewable energy in a sustainable electricity generation portfolio. Base case runs of the three models considered in this study all forecast growing contributions from renewables over a range of scenarios, but predictions vary widely due to differing modeling approaches and differing assumptions about future market, policy, technology, and other c...

2007-01-31T23:59:59.000Z

80

Renewables Portfolio Standard Overview  

DOE Green Energy (OSTI)

A Renewables Portfolio Standard (RPS) is a requirement on electric utilities and other electric suppliers to supply a minimum percentage or amount of their load with eligible sources of renewable energy. The RPS has become increasingly popular because of its benefits and the public benefits of renewable energy. A well-designed state RPS can effectively deliver a renewable energy supply and associated benefits, at a low cost or even with consumer savings. This fact sheet provides an overview of an effective RPS design.

Not Available

2005-02-01T23:59:59.000Z

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


81

Alternative Energy Portfolio Standard | Department of Energy  

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

Alternative Energy Portfolio Standard Alternative Energy Portfolio Standard Alternative Energy Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Other Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Windows, Doors, & Skylights Bioenergy Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Heating Water Heating Wind Program Info State Pennsylvania Program Type Renewables Portfolio Standard Provider Pennsylvania Public Utility Commission Pennsylvania's Alternative Energy Portfolio Standard (AEPS), created by S.B. 1030 on November 30, 2004, requires each electric distribution company

82

Renewables Portfolio Standard | Department of Energy  

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

Renewables Portfolio Standard Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Rural Electric Cooperative Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Wind Solar Home Weatherization Heating & Cooling Heating Water Heating Program Info State New Hampshire Program Type Renewables Portfolio Standard Provider New Hampshire Public Utilities Commission New Hampshire's renewable portfolio standard (RPS), established in May 2007, requires the state's electricity providers -- with the exception of municipal utilities -- to acquire by 2025 renewable energy certificates (RECs) equivalent to 24.8% of retail electricity sold to end-use customers.

83

Renewables Portfolio Standard | Department of Energy  

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

Renewables Portfolio Standard Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Municipal Utility Retail Supplier Savings Category Other Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Wind Program Info State Connecticut Program Type Renewables Portfolio Standard Provider Connecticut Public Utilities Regulatory Authority Established in 1998 and subsequently revised several times, Connecticut's renewables portfolio standard (RPS) requires each electric supplier and each electric distribution company wholesale supplier to obtain at least 23% of its retail load by using renewable energy by January 1, 2020. The RPS also requires each electric supplier and each electric distribution

84

Columbia - Renewables Portfolio Standard | Department of Energy  

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

Columbia - Renewables Portfolio Standard Columbia - Renewables Portfolio Standard Columbia - Renewables Portfolio Standard < Back Eligibility Municipal Utility Savings Category Bioenergy Buying & Making Electricity Water Solar Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Program Info State Missouri Program Type Renewables Portfolio Standard Provider Columbia Water and Light 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 Light, to generate or purchase electricity generated from eligible renewable-energy resources at the following levels: * 2% by December 31, 2007 * 5% by December 31, 2012 * 10% by December 31, 2017 * 15% by December 31, 2022

85

Austin - Renewables Portfolio Standard | Department of Energy  

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

Austin - Renewables Portfolio Standard Austin - Renewables Portfolio Standard Austin - Renewables Portfolio Standard < Back Eligibility Municipal Utility Savings Category Bioenergy Buying & Making Electricity Water Solar Wind Program Info State Texas Program Type Renewables Portfolio Standard Provider Austin Energy The City of Austin, Texas, has been an early adopter of the Renewable Portfolio Standard (RPS) regulatory incentive. Using long term planning strategies, the City has set annual benchmarks for the percentage of renewable energy it uses annually. In February 2007, the Austin City Council approved Resolution 20070215-023, adopting the mayor's [http://www.austintexas.gov/department/austin-climate-protection-program Climate Protection Plan]. The Resolution increased Austin's renewable

86

Renewable Portfolio Standard | Department of Energy  

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

Renewable Portfolio Standard Renewable Portfolio Standard Renewable Portfolio Standard < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Utility Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Solar Home Weatherization Heating & Cooling Water Heating Wind Program Info State Wisconsin Program Type Renewables Portfolio Standard Provider Public Service Commission of Wisconsin In 1998 Wisconsin enacted Act 204, requiring regulated utilities in eastern Wisconsin to install to an aggregate total of 50 MW of new renewable-based electric capacity by December 31, 2000. In October 1999 Wisconsin enacted Act 9, becoming the first state to enact a renewable portfolio standard

87

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

E-Print Network (OSTI)

of Renewables Portfolio Standards: A Comparative Analysis ofRenewables Portfolio Standards in the United States LBNL-Renewables Portfolio Standards Are Increasingly Motivating

Wiser, Ryan

2008-01-01T23:59:59.000Z

88

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

E-Print Network (OSTI)

Advocating for a National Renewable Portfolio Standard RobinCongress has yet to pass a renewable portfolio standard (RPS). Renewable portfolio standards require an electricity

Lunt, Robin J.

2007-01-01T23:59:59.000Z

89

Portfolio Manager Technical Reference: U.S. National Energy Use...  

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

here Home Buildings & Plants Portfolio Manager Technical Reference: U.S. National Energy Use Intensity Secondary menu About us Press room Contact Us Portfolio Manager Login...

90

An Exact Solution Approach for Portfolio Optimization Problems ...  

E-Print Network (OSTI)

rate on the money market, an efficient frontier of optimal portfolios can be constructed. Portfolios on the .... utility of the two new branching rules. The reader will ...

91

Use web services to exchange data with Portfolio Manager | ENERGY...  

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

Service and product providers Use web services to exchange data with Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and...

92

Renewable portfolio standard: an analysis of design and implementation issues.  

E-Print Network (OSTI)

??The Renewable Portfolio Standard (RPS) is a policy tool that requires a certain percentage of renewable energy to be included in the portfolio of electricity… (more)

Parvanyan, Tigran

2005-01-01T23:59:59.000Z

93

Office of Fossil Energy Fuel Cell Program 2012 Portfolio  

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

O ce of Fossil Energy Fuel Cell Program Portfolio 2012 Solid State Energy Conversion Alliance Office of Fossil Energy Fuel Cell Program 2012 Portfolio October 2012 DOE...

94

Optimization of Real Asset Portfolio using a Coherent Risk Measure  

E-Print Network (OSTI)

Nov 19, 2008 ... Optimization of Real Asset Portfolio using a Coherent Risk Measure: ... initial techniques evolved to the use of enterprise portfolio management, ...

95

Hot to Get Utility Data Into Portfolio Manager®  

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

"How To" Series How to Get Utility Data Into Portfolio Manager EPA's ENERGY STAR Portfolio Manager tool helps you measure and track energy use, water use, and...

96

Modeling and Analysis of CSP Systems (Fact Sheet), Thermal Systems...  

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

The models can also help analysts assess the potential market penetration and economic impact of CSP under different policy and deployment scenarios. The Solar Advisor Model (SAM)...

97

Constructing investment strategy portfolios by combination genetic algorithms  

Science Conference Proceedings (OSTI)

The classical portfolio problem is a problem of distributing capital to a set of securities. By generalizing the set of securities to a set of investment strategies (or security-rule pairs), this study proposes an investment strategy portfolio problem, ... Keywords: Capital allocation, Combination genetic algorithm, Genetic algorithms (GA), Investment strategy portfolio, Portfolio

Jiah-Shing Chen; Jia-Li Hou; Shih-Min Wu; Ya-Wen Chang-Chien

2009-03-01T23:59:59.000Z

98

Generation Portfolio Migration Under Market Uncertainty  

Science Conference Proceedings (OSTI)

Power companies are facing a complex and unprecedented mix of changes in regulations and technologies, forcing them to alter their generation mix and make other significant changes in their energy portfolios at an extraordinary rate. To assess issues and methodologies that can assist decisions during this process of portfolio migration, this study examines the performance of a hypothetical portfolio of generating units undertaking different strategies of unit retrofits, retirements, and replacements exte...

2011-07-28T23:59:59.000Z

99

Renewable Portfolio Standard | Department of Energy  

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

Portfolio Standard Portfolio Standard Renewable Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Water Buying & Making Electricity Solar Wind Program Info State Illinois Program Type Renewables Portfolio Standard In August 2007, Illinois enacted legislation (Public Act 095-0481) that created the Illinois Power Agency (IPA). The agency's purpose is to develop electricity procurement plans for investor-owned electric utilities (EUs) supplying over 100,000 Illinois customers to ensure "adequate, reliable, affordable, efficient, and environmentally sustainable electric service at the lowest total cost." The only EUs that meet these criteria and are therefore subject to the IPA procurement process are Commonwealth

100

Alternative Energy Portfolio Standard | Department of Energy  

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

Alternative Energy Portfolio Standard Alternative Energy Portfolio Standard Alternative Energy Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Program Info State Massachusetts Program Type Other Policy Provider Massachusetts Department of Energy Resources 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 legislation, Massachusetts created the Alternative Energy Portfolio Standard (APS), which requires meeting 5% of the state's electric load with "alternative energy" by 2020 according to the following schedule: * 1.00% by 2009

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


101

Renewables Portfolio Standard | Department of Energy  

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

You are here You are here Home » Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Water Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Wind Program Info State Minnesota Program Type Renewables Portfolio Standard Provider Minnesota Department of Commerce Minnesota enacted legislation in 2007 that created a renewable portfolio standard (RPS) for Xcel Energy, created a separate RPS for other electric utilities,* and modified the state's existing non-mandated renewable-energy objective. In 2013, further legislation (H.F 729) was enacted to create a 1.5% solar standard for public utilities, a distributed generation

102

Portfolio Manager Technical Reference: Climate and Weather |...  

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

Weather Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy...

103

Renewables Portfolio Goal | Department of Energy  

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

You are here You are here Home » Renewables Portfolio Goal Renewables Portfolio Goal < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Home Weatherization Heating & Cooling Heating Water Heating Wind Program Info State Utah Program Type Renewables Portfolio Standard Provider Office of Energy Development Utah enacted ''The Energy Resource and Carbon Emission Reduction Initiative'' ([http://le.utah.gov/~2008/bills/sbillenr/sb0202.pdf S.B. 202]) in March 2008. While this law contains some provisions similar to those found in renewable portfolio standards (RPSs) adopted by other

104

Renewable Portfolio Standard | Department of Energy  

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

You are here You are here Home » Renewable Portfolio Standard Renewable Portfolio Standard < Back Eligibility Investor-Owned Utility Rural Electric Cooperative Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Bioenergy Biofuels Alternative Fuel Vehicles Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Solar Heating Water Heating Wind Program Info State Hawaii Program Type Renewables Portfolio Standard Provider Hawaii Public Utilities Commission Under Hawaii's Renewable Portfolio Standard (RPS), each electric utility company that sells electricity for consumption in Hawaii must establish the following percentages of "renewable electrical energy" sales: * 10% of its net electricity sales by December 31, 2010;

105

Renewable Portfolio Standard (Hawaii) | Open Energy Information  

Open Energy Info (EERE)

Portfolio Standard (RPS), each electric utility company that sells electricity for consumption in Hawaii must establish the following percentages of "renewable electrical energy"...

106

Portfolio Selection under Model Uncertainty:  

E-Print Network (OSTI)

The classical maxmin approaches pioneered by Gilboa and Schmeidler [15] ac- count for ... applicable to real world large-scale problems. Aside from the ...

107

Renewable Portfolio Standard MARK JACCARD  

E-Print Network (OSTI)

Renewable Portfolio Standard MARK JACCARD Simon Fraser University Vancouver, British Columbia feed-in tariff An offer by government or a utility to purchase electricity from renewables producers at a fixed price, regardless of the producers' costs of production. green (renewables) certificate

108

Model Documentation Report: Macroeconomic Activity Module (MAM) of ...  

U.S. Energy Information Administration (EIA)

facilitates continuity in model development by providing documentation from which energy analysts can ... Business spending includes nine fixed investment categories for

109

Jeanne Wright, RN, BSN, MT, CCRP, CIM, RAC, SoCRA Research Analyst Lead, University of Michigan, Michigan Institute for Clinical and Health Research  

E-Print Network (OSTI)

Jeanne Wright, RN, BSN, MT, CCRP, CIM, RAC, SoCRA Research Analyst Lead, University of Michigan&D. CERTIFICATIONS Regulatory Affairs Certification (2012) National Association of IRB Managers (CIM), 2009

Eustice, Ryan

110

Optimal Portfolio Selection Under Concave Price Impact  

SciTech Connect

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.

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

111

Essays in asset pricing and portfolio choice  

E-Print Network (OSTI)

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 the ?rst part earns a risk premium. All nominal Treasury bonds, including the nominal money-market account, are equally exposed to the residual part except in?ation-protected Treasury bonds, which provide a means to hedge it. Every investor should put 100% of his wealth in the market portfolio and in?ation-protected Treasury bonds and hold a zero-investment portfolio of nominal Treasury bonds and the nominal money market account. In the second essay, I solve the dynamic asset allocation problem of ?nite lived, constant relative risk averse investors who face in?ation risk and can invest in cash, nominal bonds, equity, and in?ation-protected bonds when the investment opportunityset is determined by the expected in?ation rate. I estimate the model with nominal bond, in?ation, and stock market data and show that if expected in?ation increases, then investors should substitute in?ation-protected bonds for stocks and they should borrow cash to buy long-term nominal bonds. In the lastessay, I discuss how heterogeneity in preferences among investors withexternal non-addictive habit forming preferences a?ects the equilibrium nominal term structure of interest rates in a pure continuous time exchange economy and complete securities markets. Aggregate real consumption growth and in?ation are exogenously speci?ed and contain stochastic components thata?ect their means andvolatilities. There are two classes of investors who have external habit forming preferences and di?erent localcurvatures oftheir utility functions. The e?ects of time varying risk aversion and di?erent in?ation regimes on the nominal short rate and the nominal market price of risk are explored, and simple formulas for nominal bonds, real bonds, and in?ation risk premia that can be numerically evaluated using Monte Carlo simulation techniques are provided.

Illeditsch, Philipp Karl

2007-08-01T23:59:59.000Z

112

Clean Energy Portfolio Goal | Department of Energy  

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

Portfolio Goal Portfolio Goal Clean Energy Portfolio Goal < Back Eligibility Investor-Owned Utility Retail Supplier Utility Savings Category Heating & Cooling Commercial Heating & Cooling Heating Bioenergy Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Water Heating Wind Program Info State Indiana Program Type Renewables Portfolio Standard Provider Indiana Utility Regulatory Commission 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 by the utility in 2010. The Indiana Utility Regulatory Commission (IURC) adopted emergency rules (RM #11-05) for the CPS in December 2011. Final rules were adopted in June

113

Renewable Portfolio Standard | Department of Energy  

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

Portfolio Standard Portfolio Standard Renewable Portfolio Standard < Back Eligibility Investor-Owned Utility Municipal Utility Retail Supplier Rural Electric Cooperative Savings Category Bioenergy Buying & Making Electricity Water Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Wind Program Info State Oregon Program Type Renewables Portfolio Standard Provider Oregon Department of Energy As part of the Oregon Renewable Energy Act of 2007 ([http://www.leg.state.or.us/07reg/measpdf/sb0800.dir/sb0838.en.pdf Senate Bill 838]), the state of Oregon established a renewable portfolio standard (RPS) for electric utilities and retail electricity suppliers. Different RPS targets apply depending on a utility's size. Electricity service suppliers must meet the requirements applicable to the electric utilities

114

Renewables Portfolio Standard | Department of Energy  

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

Renewables Portfolio Standard Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Municipal Utility Retail Supplier Rural Electric Cooperative Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Wind Program Info State Delaware Program Type Renewables Portfolio Standard Provider Delaware Public Service Commission In 2005, [http://depsc.delaware.gov/electric/rpsact.pdf S.B. 74] established a renewables portfolio standard (RPS) requiring retail electricity suppliers to purchase 10% of the electricity sold in the state from renewable sources by 2019-2020 (the compliance year, or CY, runs from June - May). [http://legis.delaware.gov/LIS/lis144.nsf/vwLegislation/SB+19/$file/legis.html?open

115

Renewable Portfolio Standard | Department of Energy  

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

Portfolio Standard Portfolio Standard Renewable Portfolio Standard < Back Eligibility Investor-Owned Utility Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Solar Heating & Cooling Water Heating Wind Program Info State New York Program Type Renewables Portfolio Standard Provider New York State Energy Research and Development Authority The New York Public Service Commission (PSC) adopted a renewable portfolio standard (RPS) in September 2004 and issued implementation rules in April 2005. As originally designed, New York's RPS had a renewables target of 25% of state electricity consumption by 2013, but was expanded in January 2010 to 30% by 2015 by order of the PSC. Of this 30%, approximately 20.7% of the

116

Renewables Portfolio Standard | Department of Energy  

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

Renewables Portfolio Standard Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Rural Electric Cooperative Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Wind Program Info State New Mexico Program Type Renewables Portfolio Standard Provider New Mexico Public Regulation Commission '''''Note: The New Mexico Public Regulation Commission (PRC) [http://www.nmprc.state.nm.us/administrative-services/docs/press-releases... passed an order] in December 2012, making some significant changes to the state's Renewables Portfolio Standard. Notably, the order increased the carve-out for wind from 20% to 30% of the overall standard. It also increased the reasonable cost threshold for investor-owned utilities such

117

Renewables Portfolio Standard | Department of Energy  

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

Renewables Portfolio Standard Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Rural Electric Cooperative Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Heating & Cooling Commercial Heating & Cooling Heating Wind Program Info State Kansas Program Type Renewables Portfolio Standard Provider Kansas Corporation Commission Kansas adopted the Renewable Energy Standards Act in 2009 (K.S.A. 66-1256), establishing a renewable portfolio standard (RPS). This statute requires the state's investor-owned and cooperative utilities to generate or purchase 10% of their electricity from eligible renewable resources in the years 2011-2015, 15% in the years 2016-2019, and 20% by 2020.

118

Renewables Portfolio Standard | Open Energy Information  

Open Energy Info (EERE)

Renewables Portfolio Standard Renewables Portfolio Standard Jump to: navigation, search Renewable portfolio standards (RPS) require utilities to use renewable energy or renewable energy credits (RECs) to account for a certain percentage of their retail electricity sales -- or a certain amount of generating capacity -- according to a specified schedule. (Renewable portfolio goals are similar to RPS policies, but renewable portfolio goals are not legally binding.) Most U.S. states have established an RPS. The term "set-aside" or "carve-out" refers to a provision within an RPS that requires utilities to use a specific renewable resource (usually solar energy) to account for a certain percentage of their retail electricity sales (or a certain amount of generating capacity) within a specified

119

Renewables Portfolio Standards | Open Energy Information  

Open Energy Info (EERE)

Renewables Portfolio Standards Renewables Portfolio Standards Jump to: navigation, search Renewable portfolio standards (RPS) require utilities to use renewable energy or renewable energy credits (RECs) to account for a certain percentage of their retail electricity sales -- or a certain amount of generating capacity -- according to a specified schedule. (Renewable portfolio goals are similar to RPS policies, but renewable portfolio goals are not legally binding.) Most U.S. states have established an RPS. The term "set-aside" or "carve-out" refers to a provision within an RPS that requires utilities to use a specific renewable resource (usually solar energy) to account for a certain percentage of their retail electricity sales (or a certain amount of generating capacity) within a specified

120

THE THE RENEWABLES PORTFOLIO STANDARD RENEWABLES PORTFOLIO STANDARD  

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

THE THE RENEWABLES PORTFOLIO STANDARD RENEWABLES PORTFOLIO STANDARD A Practical Guide A Practical Guide Nancy Rader Scott Hempling Prepared for the National Association of Regulatory Utility Commissioners February 2001 DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Referenced herein to any specific commercial product, process or service by trade name, trademark, manufacturer, or otherwise, does

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Federal Energy Management Program: Diversifying Project Portfolios for  

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

Diversifying Diversifying Project Portfolios for Utility Energy Service Contracts to someone by E-mail Share Federal Energy Management Program: Diversifying Project Portfolios for Utility Energy Service Contracts on Facebook Tweet about Federal Energy Management Program: Diversifying Project Portfolios for Utility Energy Service Contracts on Twitter Bookmark Federal Energy Management Program: Diversifying Project Portfolios for Utility Energy Service Contracts on Google Bookmark Federal Energy Management Program: Diversifying Project Portfolios for Utility Energy Service Contracts on Delicious Rank Federal Energy Management Program: Diversifying Project Portfolios for Utility Energy Service Contracts on Digg Find More places to share Federal Energy Management Program:

122

Asymmetric information in fads models in Lâevy markets.  

E-Print Network (OSTI)

??Fads models for stocks under asymmetric information in a purely continuous(GBM) market were first studied by P. Guasoni (2006), where optimal portfolios and maximum expected… (more)

Buckley, Winston S.

2009-01-01T23:59:59.000Z

123

Restaurant Industry Stock Price Forecasting Model Utilizing Artificial Neural Networks to Combine Fundamental and Technical Analysis.  

E-Print Network (OSTI)

??Stock price forecasting is a classic problem facing analysts. Forcasting models have been developed for predicting individual stocks and stock indices around the world and… (more)

Dravenstott, Ronald W.

2012-01-01T23:59:59.000Z

124

Federal Energy Management Program: Portfolio-Based Planning Process for  

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

Portfolio-Based Portfolio-Based Planning Process for Greenhouse Gas Mitigation to someone by E-mail Share Federal Energy Management Program: Portfolio-Based Planning Process for Greenhouse Gas Mitigation on Facebook Tweet about Federal Energy Management Program: Portfolio-Based Planning Process for Greenhouse Gas Mitigation on Twitter Bookmark Federal Energy Management Program: Portfolio-Based Planning Process for Greenhouse Gas Mitigation on Google Bookmark Federal Energy Management Program: Portfolio-Based Planning Process for Greenhouse Gas Mitigation on Delicious Rank Federal Energy Management Program: Portfolio-Based Planning Process for Greenhouse Gas Mitigation on Digg Find More places to share Federal Energy Management Program: Portfolio-Based Planning Process for Greenhouse Gas Mitigation on

125

Enter data into Portfolio Manager | ENERGY STAR Buildings & Plants  

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

Enter data into Portfolio Manager Enter data into Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager The new ENERGY STAR Portfolio Manager How Portfolio Manager helps you save The benchmarking starter kit Identify your property type Enter data into Portfolio Manager The data quality checker How Portfolio Manager calculates metrics

126

Portfolio Manager | ENERGY STAR Buildings & Plants  

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

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

127

Renewable Portfolio Standard | Open Energy Information  

Open Energy Info (EERE)

Portfolio Standard Portfolio Standard Jump to: navigation, search TODO: Attach these values to individual state pages, as semantic properties. A Renewable Portfolio Standard, or RPS, is a regulation requiring electricity providers to obtain a certain percentage of their power from renewable energy sources by a specified date. U.S. State Programs The following table summarizes RPS programs that have been adopted in U.S. states. State Type Amount Year Administrator Arizona Mandary 15% 2025 Arizona Corporation Commission California Mandary 33% 2030 California Energy Commission Colorado Mandary 20% 2020 Colorado Public Utilities Commission Connecticut Mandary 23% 2020 Department of Public Utility Control District of Columbia Mandary 20% 2020 DC Public Service Commission

128

Generalized Integrands and Bond Portfolios: Pitfalls and Counter Examples  

E-Print Network (OSTI)

We construct Zero-Coupon Bond markets driven by a cylindrical Brownian motion in which the notion of generalized portfolio has important flaws: There exist bounded smooth random variables with generalized hedging portfolios for which the price of their risky part is $+\\infty$ at each time. For these generalized portfolios, sequences of the prices of the risky part of approximating portfolios can be made to converges to any given extended real number in $[-\\infty, \\infty].$

Taflin, Erik

2009-01-01T23:59:59.000Z

129

Today in Energy - Most states have Renewable Portfolio ...  

U.S. Energy Information Administration (EIA)

Renewable portfolio standards (RPS), also referred to as renewable electricity standards (RES), are policies designed to increase generation of ...

130

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

SciTech Connect

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

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

2012-09-30T23:59:59.000Z

131

Petroleum Market Module (Volume 1), Model Documentation  

Reports and Publications (EIA)

Model Documentation Volume I - Defines the objectives of the Petroleum Market Model (PMM), describes its basic approach, and provides detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

William Brown

2013-01-14T23:59:59.000Z

132

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

E-Print Network (OSTI)

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

Lyon, Thomas P.

133

Alternative Energy Portfolio Standard | Department of Energy  

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

Alternative Energy Portfolio Standard Alternative Energy Portfolio Standard Alternative Energy Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Wind Solar Program Info State Ohio Program Type Renewables Portfolio Standard Provider Ohio Public Utilities Commission '''''Note: Legislation passed in 2012 (S.B. 289 and S.B. 315) added certain new technologies to the list of eligible Renewable Energy Resources and Advanced Energy Resources. In July 2012, The PUCO opened [http://dis.puc.state.oh.us/CaseRecord.aspx?CaseNo=12-2156 Docket 12-2156-EL-ORD] in order to implement the changes. PUCO is accepting comments on the proposed rules, and comments reviewing OAC 4901:1-10, until

134

Energy Efficiency Portfolio Standard | Department of Energy  

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

Portfolio Standard Portfolio Standard Energy Efficiency Portfolio Standard < Back Eligibility Investor-Owned Utility Program Info State New York Program Type Energy Efficiency Resource Standard In May 2007 the New York Public Service Commission (PSC) issued an order instituting a proceeding to develop an Energy Efficiency Portfolio Standard (EEPS). The order set a goal of reducing electricity usage in New York by 15% from projected electricity usage in 2015. After examining comments and input from staff and stakeholders, the PSC issued a further order in June 2008 establishing detailed program targets, ratepayer collections to fund energy efficiency programs, and various other protocols for the EEPS. The June 2008 order also established collections from natural gas customers to

135

Renewable Portfolio Standard | Open Energy Information  

Open Energy Info (EERE)

Portfolio Standard Portfolio Standard (Redirected from Renewable Portfolio Standards) Jump to: navigation, search TODO: Attach these values to individual state pages, as semantic properties. A Renewable Portfolio Standard, or RPS, is a regulation requiring electricity providers to obtain a certain percentage of their power from renewable energy sources by a specified date. U.S. State Programs The following table summarizes RPS programs that have been adopted in U.S. states. State Type Amount Year Administrator Arizona Mandary 15% 2025 Arizona Corporation Commission California Mandary 33% 2030 California Energy Commission Colorado Mandary 20% 2020 Colorado Public Utilities Commission Connecticut Mandary 23% 2020 Department of Public Utility Control District of Columbia Mandary 20% 2020 DC Public Service Commission

136

Energy Portfolio Standard | Department of Energy  

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

You are here You are here Home » Energy Portfolio Standard Energy Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Buying & Making Electricity Water Solar Heating & Cooling Swimming Pool Heaters Water Heating Commercial Heating & Cooling Heating Wind Program Info State Nevada Program Type Renewables Portfolio Standard Provider Public Utilities Commission of Nevada Nevada established a renewable portfolio standard (RPS) as part of its 1997 restructuring legislation. Under the standard, NV Energy (formerly Nevada Power and Sierra Pacific Power) must use eligible renewable energy resources to supply a minimum percentage of the total electricity it sells. In 2001, the state increased the minimum requirement by 2% every two years,

137

Portfolio Energy Credits | Department of Energy  

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

Portfolio Energy Credits Portfolio Energy Credits Portfolio Energy Credits < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Utility Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Buying & Making Electricity Water Heating & Cooling Commercial Heating & Cooling Solar Heating Swimming Pool Heaters Water Heating Wind Program Info Start Date 2/23/2006 State Nevada Program Type Performance-Based Incentive Rebate Amount Varies; higher value for solar PECs than other technologies Provider Public Utilities Commission of Nevada Nevada's [http://www.dsireusa.org/library/includes/incentive2.cfm?Incentive_Code=N... Energy Portfolio Standard] requires the state's two investor-owned utilities, Nevada Power and Sierra Pacific Power, to derive or save a

138

Renewable Portfolio Standard | Department of Energy  

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

Renewable Portfolio Standard Renewable Portfolio Standard Renewable Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Massachusetts Program Type Renewables Portfolio Standard Provider Massachusetts Department of Energy Resources NOTE: NOTE: In February 2013, the Massachusetts Department of Energy Resources (DOER) issued proposed changes to its RPS Class I and RPS Solar Carve-Out programs. The DOER accepted comments through March 25, 2013. In addition, the DOER has developed a draft Assurance of Qualification Guideline and an emergency regulation to provide clarity to the queuing and review process as Solar Carve-Out cap is approached. All drafts, comments,

139

Renewables Portfolio Standard | Department of Energy  

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

Renewables Portfolio Standard Renewables Portfolio Standard Renewables Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Wind Program Info State New Jersey Program Type Renewables Portfolio Standard Provider New Jersey Board of Public Utilities 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 qualification of certain hydropower projects under the RPS. While it contains information on many of the most important changes made by the law, it is not exhaustive and lacks some details. Extensive rule making activity will be necessary to implement

140

Renewables Portfolio Standards | Open Energy Information  

Open Energy Info (EERE)

Standards Standards (Redirected from Renewables Portfolio Standards/Set Asides) Jump to: navigation, search Renewable portfolio standards (RPS) require utilities to use renewable energy or renewable energy credits (RECs) to account for a certain percentage of their retail electricity sales -- or a certain amount of generating capacity -- according to a specified schedule. (Renewable portfolio goals are similar to RPS policies, but renewable portfolio goals are not legally binding.) Most U.S. states have established an RPS. The term "set-aside" or "carve-out" refers to a provision within an RPS that requires utilities to use a specific renewable resource (usually solar energy) to account for a certain percentage of their retail electricity sales (or a certain amount of generating capacity) within a specified

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


141

Dynamic Portfolio Optimization with Transaction Costs: Heuristics ...  

E-Print Network (OSTI)

Aug 10, 2010 ... 1The special case with a quadratic utility and quadratic transaction costs and no portfolio .... The risk-free rate rf is assumed to be known.

142

RENEWABLES PORTFOLIO STANDARD 2006 PROCUREMENT VERIFICATION  

E-Print Network (OSTI)

California Energy Commission DRAFT STAFF REPORT RENEWABLES PORTFOLIO STANDARD 2007 PROCUREMENT VERIFICATION RPS 2007 Verification Report APRIL 2011 CEC3002011002SD #12;CALIFORNIA ENERGY COMMISSION Gina Executive Director DISCLAIMER Staff members of the California Energy Commission prepared this report

143

Delta Hedging Energy Portfolios: an Exploratory Study  

Science Conference Proceedings (OSTI)

Delta hedging, although widely used in commodity markets, needs to be further adapted to electricity markets. Given the extreme volatility of electricity prices, even a portfolio whose market value is perfectly hedged may still yield large and potentially ...

Richard Goldberg; James Read; Art Altman; Remi Audouin

2007-01-01T23:59:59.000Z

144

A framework for the architecting of aerospace systems portfolios with commonality  

E-Print Network (OSTI)

(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 ...

Hofstetter, Wilfried Konstantin

2009-01-01T23:59:59.000Z

145

Transgenic Mice: Atherosclerosis Portfolio  

Energy Efficiency; Energy Storage and Recovery; Renewable Energy; Environmental Technologies. Monitoring and Imaging; Remediation; Modeling; Imaging ...

146

Puerto Rico - Renewable Energy Portfolio Standard | Department of Energy  

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

Puerto Rico - Renewable Energy Portfolio Standard Puerto Rico - Renewable Energy Portfolio Standard Puerto Rico - Renewable Energy Portfolio Standard < Back Eligibility Utility Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info Program Type Renewables Portfolio Standard Provider Energy Affairs Administration 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. In July 2010, Puerto Rico enacted the island's first Renewable Energy Portfolio Standard in an effort to spur renewable energy development as well as reduce Puerto Rico's dependence on imported foreign oil (Puerto

147

Alternative and Renewable Energy Portfolio Standard | Department of Energy  

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

Alternative and Renewable Energy Portfolio Standard Alternative and Renewable Energy Portfolio Standard Alternative and Renewable Energy Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State West Virginia Program Type Renewables Portfolio Standard Provider West Virginia Division of Energy 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 25% of retail electric sales from eligible alternative and renewable energy resources by 2025.

148

N. Mariana Islands - Renewables Portfolio Standard | Department of Energy  

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

N. Mariana Islands - Renewables Portfolio Standard N. Mariana Islands - Renewables Portfolio Standard N. Mariana Islands - Renewables Portfolio Standard < Back Eligibility Utility Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Program Info Program Type Renewables Portfolio Standard 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 energy. Under the law, the Commonwealth Utilities Corporation (the Islands' only and semi-autonomous public utility provider) must meet the following benchmarks: * 10% of net electricity sales by December 31, 2008

149

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

E-Print Network (OSTI)

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

Hartnett, William

2003-03-28T23:59:59.000Z

150

Overview of EPA's ENERGY STAR Portfolio Manager: A Tool to Measure...  

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

Overview of EPA's ENERGY STAR Portfolio Manager: A Tool to Measure and Track Energy Consumption and Greenhouse Gas Emissions Overview of EPA's ENERGY STAR Portfolio Manager: A Tool...

151

Microsoft PowerPoint - PortfolioManager_Webinar_4Feb10_Updated  

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

questions on benchmarking and Portfolio Manager 4 Training Objectives Review C&W procedures for tracking energy and water consumption using Portfolio Manager in support of...

152

How Portfolio Manager calculates greenhouse gas emissions | ENERGY STAR  

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How Portfolio Manager calculates greenhouse gas emissions How Portfolio Manager calculates greenhouse gas emissions Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager The new ENERGY STAR Portfolio Manager How Portfolio Manager helps you save The benchmarking starter kit Identify your property type Enter data into Portfolio Manager The data quality checker

153

(wizard) and (analyst) logged ...  

Science Conference Proceedings (OSTI)

... Increased "nutrients" caused an overproduction of phytoplankton, which block the light reaching the sea grasses and algae. ...

2002-12-12T23:59:59.000Z

154

Operations Research Analysts  

U.S. Energy Information Administration (EIA)

The U.S. Energy Information Administration is an equal opportunity employer with a commitment to workforce diversity. Created Date: 2/9/2011 2:54:28 PM ...

155

Radionuclide Ratio Analyst Tool  

E-Print Network (OSTI)

Kendra M. Foltz Biegalski This memo recommends the installation of several upgrades and additions to the Radionuclide Monitoring Software (RMS) into operations at the Center for Monitoring Research (CMR). The software additions and upgrades described herein provide new functionality and improved results to many aspects of radionuclide data analysis. This software was developed under the Technical Verification and Analytical Support (TVAS) program at the CMR. This software has been running on the TVAS development network from 3 months to 2 years. Statement of Objective The objective of this proposal is the implementation of additions and upgrades to the RMS software into CMR operations. The following additional software components are recommended:

unknown authors

2002-01-01T23:59:59.000Z

156

(wizard) and (analyst) logged ...  

Science Conference Proceedings (OSTI)

... understanding calling for Amkor's staged equity purchase of ... MIC is an investment fund created by NTT ... first British Company to offer tax-free sports ...

2002-12-17T23:59:59.000Z

157

Microsoft PowerPoint - EIA Presentation 04.26.11.ppt [Read-Only]  

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

DISCLOSURE APPENDIX CONTAINS IMPORTANT DISCLOSURES, ANALYST CERTIFICATIONS, INFORMATION ON TRADE ALERTS, ANALYST MODEL PORTFOLIOS AND THE STATUS OF NON- DISCLOSURE APPENDIX CONTAINS IMPORTANT DISCLOSURES, ANALYST CERTIFICATIONS, INFORMATION ON TRADE ALERTS, ANALYST MODEL PORTFOLIOS AND THE STATUS OF NON- U.S ANALYSTS. FOR OTHER IMPORTANT DISCLOSURES, visit www.credit-suisse.com/ research disclosures or call +1 (877) 291-2683. U.S. Disclosure: Credit Suisse does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the Firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their investment decision Implications of EPA Policy April 26 th , 2011 Equity Research Analyst Dan Eggers, CFA Managing Director Work 212.538.8430 dan.eggers@credit-suisse.com

158

Portfolio 21 Investments | Open Energy Information  

Open Energy Info (EERE)

Portfolio 21 Investments Portfolio 21 Investments Jump to: navigation, search Name Portfolio 21 Investments Place Portland, Oregon Zip 97209-3449 Product Global equity mutual fund committed to investing in a sustainable future. Coordinates 45.511795°, -122.675629° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.511795,"lon":-122.675629,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

159

Energy Efficiency Portfolio Standard | Department of Energy  

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

Energy Efficiency Portfolio Standard Energy Efficiency Portfolio Standard Energy Efficiency Portfolio Standard < Back Eligibility Investor-Owned Utility Retail Supplier Savings Category Other Heating & Cooling Commercial Heating & Cooling Heating Manufacturing Buying & Making Electricity Energy Sources Program Info State Ohio Program Type Energy Efficiency Resource Standard Provider Public Utilities Commission of Ohio In May 2008, Ohio enacted broad electric industry restructuring legislation ([http://www.legislature.state.oh.us/BillText127/127_SB_221_EN_N.pdf SB 221]) containing energy efficiency requirements for investor-owned utilities. In addition to the efficiency standard, SB 221 established the [http://dsireusa.org/incentives/incentive.cfm?Incentive_Code=OH14R&re=1&ee=1

160

NETL: 2013 Gasification Systems Project Portfolio  

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

Reference Shelf > Project Portfolio Reference Shelf > Project Portfolio Gasification Systems 2013 Gasification Systems Project Portfolio Gasifier Optimization Gas Separation Gas Separation Gasifier Optimization Gasifier Optimization Gas Cleaning Gasifier Optimization Gas Cleaning Gas Separation U.S. Economic Competitiveness Gas Separation Gasifier Optimization U.S. Economic Competitiveness Gasifier Optimization U.S. Economic Competitiveness Gas Cleaning Gasifier Optimization Gas Cleaning Gasifier Optimization Gas Separation U.S. Economic Competitiveness Gas Separation U.S. Economic Competitiveness U.S. Economic Competitiveness Gas Cleaning Gas Cleaning Gas Separation Gas Cleaning Gas Separation Global Environmental Benefits Gas Separation Global Environmental Benefits Global Environmental Benefits Gas Cleaning Gas Separation Systems Analyses Global Environmental Benefits Gas Separation Systems Analyses Global Environmental Benefits Systems Analyses Global Environmental Benefits Gas Cleaning Systems Analyses Gas Cleaning Gas Separation Systems Analyses Systems Analyses Gas Cleaning Systems Analyses Systems Analyses Systems Analyses

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


161

Natural gas contracts in efficient portfolios  

Science Conference Proceedings (OSTI)

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.

Sutherland, R.J.

1994-12-01T23:59:59.000Z

162

Recasting risk analysis methods in terms of object-oriented modeling techniques  

SciTech Connect

For more than two decades, risk analysts have relied on powerful logic-based models to perform their analyses. However, the applicability of these models has been limited because they can be complex and expensive to develop. Analysts must frequently start from scratch when analyzing a new (but similar) system because the understanding of how the system works exists only in the mind of the analyst and is only incompletely instantiated in the actual logic model. This paper introduces the notion of using explicit object-oriented system models, such as those embodied in computer-aided software engineering (CASE) tools, to document the analyst`s understanding of the system and appropriately capture how the system works. It also shows that from these models, standard assessment products, such as fault trees and event trees, can be automatically derived.

Wyss, G.D.; Craft, R.L.; Vandewart, R.L.; Funkhouser, D.R.

1998-08-01T23:59:59.000Z

163

Diversifying Project Portfolios for Utility Energy Service Contracts |  

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

Diversifying Project Portfolios for Utility Energy Service Diversifying Project Portfolios for Utility Energy Service Contracts Diversifying Project Portfolios for Utility Energy Service Contracts October 7, 2013 - 2:28pm Addthis 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. Building a portfolio of energy service projects lowers overall contracting costs while increasing energy cost savings. This portfolio approach offers additional benefits by reducing contract and administrative burdens and optimizing energy savings. Renewable Energy Multiple laws and regulations require agencies to implement and use

164

New England Wind Forum: Renewable Energy Portfolio Standards  

Wind Powering America (EERE)

Renewable Energy Portfolio Standards Renewable Energy Portfolio Standards Renewable Energy Portfolio Standards (RPSs) are requirements for sellers of electricity to retail customers to include in their supply portfolio a specified fraction of eligible renewable energy. In New England, all the states have adopted such standards: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont (although Vermont's renewable energy goals are not binding). Each state treats wind as an eligible resource, and all states require increasing percentages of renewable energy supply over time. Renewable Energy Portfolio Standards policies in Massachusetts and Connecticut represent the greatest potential to spur the development of new wind power in New England due to their population densities (compared to the rest of New England) and aggressive Renewable Energy Portfolio Standards targets.

165

Renewables Portfolio Standard | Department of Energy  

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

Retail Supplier Retail Supplier Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Wind Program Info State Maine Program Type Renewables Portfolio Standard Provider Maine Public Utilities Commission 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 requiring each electricity provider to supply at least 30% of their total electric sales using electricity generated by eligible renewable and certain energy efficiency resources. Actually, at the time of passage, the required percentage of renewables was actually lower than the existing percentage

166

Renewables Portfolio Standard | Department of Energy  

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

Municipal Utility Municipal Utility Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State California Program Type Renewables Portfolio Standard Provider California Energy Commission California's Renewables Portfolio Standard (RPS) was originally established by legislation enacted in 2002. Subsequent amendments to the law have resulted in a requirement for California's electric utilities to have 33% of their retail sales derived from eligible renewable energy resources in 2020 and all subsequent years. The law established interim targets for the utilities as shown below. By January 1, 2012, the California Public Utilities Commission (CPUC) must establish specific

167

Portfolio Manager | ENERGY STAR Buildings & Plants  

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

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

168

The new ENERGY STAR Portfolio Manager | ENERGY STAR Buildings & Plants  

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

The new ENERGY STAR Portfolio Manager The new ENERGY STAR Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager The new ENERGY STAR Portfolio Manager How Portfolio Manager helps you save The benchmarking starter kit Identify your property type Enter data into Portfolio Manager The data quality checker

169

DSSE Project Portfolio 2010  

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

Chemical Security Assessment Tool Chemical Security Assessment Tool Problem Statement: - In support of chemical security regulation, the Chemical Security Assessment Tool (CSAT) collects information directly from chemical facilities, refineries, and LNG facilities Technical Approach: - Collect and store data through a series of CSAT surveys accessible via web 2.0 interface - QA data, including cross-validation, geospatial correction, statistical and numerical analysis - Model and rank facilities based on risk parameters - Assess facilities for security vulnerabilities - Develop facility-specific site security plans - Develop systems necessary to support and defend the long-term regulatory function Benefit: - Inventory and systematically secure the Nation's chemical sector by implementing mandatory security requirements and a system

170

Full list of Portfolio Manager custom reporting metrics | ENERGY STAR  

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

171

Learn how Portfolio Manager helps you save | ENERGY STAR  

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

you save energy, save money ... and save the environment. Manage energy and water consumption for any building You can use Portfolio Manager to manage the energy and water...

172

Most states have Renewable Portfolio Standards | U.S. Energy ...  

U.S. Energy Information Administration (EIA)

tags: AEO2012 (Annual Energy Outlook 2012) biomass California electricity geothermal policy renewable RPS (Renewable Portfolio Standards) solar states wind wood

173

How Portfolio Manager calculates greenhouse gas emissions | ENERGY...  

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

methane, and nitrous oxide) from on-site fuel combustion and purchased electricity and district heating and cooling. Portfolio Manager also enables tracking of avoided emissions...

174

List of Portfolio Manager property types, definitions, and use details |  

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

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

175

What's new in Portfolio Manager | ENERGY STAR Buildings & Plants  

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

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

176

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

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

for energy-Intensive Processes (eIP) addresses the top technology opportunities to save energy and reduce carbon emissions across the industrial sector. the portfolio focuses the...

177

Weighing the Costs and Benefits of State Renewables Portfolio...  

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

032007 Institution LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract State renewables portfolio...

178

List of Portfolio Manager property types, definitions, and use...  

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

types, definitions, and use details Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new...

179

Renewable Portfolio Standards: An Analysis of Net Job Impacts .  

E-Print Network (OSTI)

??Renewable portfolio standards have been widely adopted by the many states due in large part to their broad political appeal. Of particular note is the… (more)

[No author

180

How to get data out of Portfolio Manager | ENERGY STAR  

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

Quick Links Portfolio Manager Target Finder Plant EPIs Commercial Food Service About ENERGY STAR Partner Resources You are here Home Buildings & Plants How to get data...

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


181

List of Organizations that Exchange Data with Portfolio Manager...  

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

gas emissions. Click here for the ENERGY STAR List of Organizations that Exchange Data with Portfolio Manager. Energy Efficient Products Learn about ENERGY STAR Products...

182

Optimisation of physical and financial power purchase portfolios  

E-Print Network (OSTI)

78. Gün2001. Günther St (2001) Portfolio und Fahrplanmanagment. In: VDI Berichte. 1647 IT-Lösungen für die Energiewirtschaft in liberalisierten Märkten,.

183

Petroleum Market Module Model Documentation (Volume 1) 2006  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2006-03-01T23:59:59.000Z

184

Petroleum Market Module Model Documentation (Volume 1) 2007  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2007-03-01T23:59:59.000Z

185

Petroleum Market Module Model Documentation (Volume 1) 2009  

Reports and Publications (EIA)

Defines 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.

Information Center

2009-08-12T23:59:59.000Z

186

Petroleum Market Module (Volume 2), Model Documentation 2007  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2007-03-01T23:59:59.000Z

187

Petroleum Market Module (Volume 2), Model Documentation 2005  

Reports and Publications (EIA)

Defines 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.

Han-Lin Lee

2005-05-01T23:59:59.000Z

188

Petroleum Market Module Model Documentation (Volume 1) 2005  

Reports and Publications (EIA)

Defines 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.

Han-Lin Lee

2005-05-01T23:59:59.000Z

189

Petroleum Market Module (Volume 2), Model Documentation 2009  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2009-08-12T23:59:59.000Z

190

Petroleum Market Module (Volume 2), Model Documentation 2008  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2009-02-20T23:59:59.000Z

191

Petroleum Market Module Model Documentation (Volume 1) 2008  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2009-02-20T23:59:59.000Z

192

Petroleum Market Module (Volume 2), Model Documentation 2006  

Reports and Publications (EIA)

Defines 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.

Anthony Radich

2006-03-01T23:59:59.000Z

193

Biomass Project Developing a portfolio of sustainable  

E-Print Network (OSTI)

Landscape Biomass Project Field Day Developing a portfolio of sustainable bioenergy feedstock information View the project webpage at http://goo.gl/uUFyv For questions about the Landscape Biomass Field register at http://www.aep.iastate.edu/biomass by July 25, 2012.Thank you! #12;FEEL Uthe Farm Agronomy Farm

Beresnev, Igor

194

Biomass Project Developing a portfolio of sustainable  

E-Print Network (OSTI)

Landscape Biomass Project Field Day Developing a portfolio of sustainable bioenergy feedstock information View the project webpage at http://goo.gl/uUFyv For questions about the Landscape Biomass Field Please enter the farm on the west side off of Unicorn Ave near the "Landscape Biomass Project

Moore, Lisa Schulte

195

Evaluating a Proposed 20% National Renewable Portfolio Standard  

Science Conference Proceedings (OSTI)

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.

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

2009-02-01T23:59:59.000Z

196

Environmental Energy Technologies Division Energy Analysis Department Renewables Portfolio Standards  

E-Print Network (OSTI)

Portfolio Standards: 13 states have enacted RPS policies, which obligate suppliers to deliver a certain Analysis Department State Renewables Portfolio Standards and Purchase Mandates ­ 13 States · Renewable energy "goals" established in Illinois, Minnesota, and Hawaii · RPS being considered in many other states

197

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

E-Print Network (OSTI)

PG&E's Renewable Portfolio Standard & Greenhouse Gas Compliance Fong Wan Senior Vice President. AB32 and Greenhouse Gas Legislation Outline #12;PG&E's Electric Generation Portfolio *Note: Other" for the purpose of this slide RPS BINDER 1.3 #12;AB32 & Greenhouse Gas Overview · AB32 signed into law

198

Prioritizing a Portfolio of Information Technology Investment Projects  

Science Conference Proceedings (OSTI)

Although the use of real options for valuation of information technology (IT) investments has been documented, little research has been conducted to examine its relevance for valuing and prioritizing a portfolio of projects. Complexities of IT projects ... Keywords: Business Value, Information Technology, Investment Evaluation, Net Present Value, Portfolio Optimization, Real Options Analysis, Sequential Investment

Indranil Bardhan; Ryan Sougstad

2004-10-01T23:59:59.000Z

199

Impacts of a 10-Percent Renewable Portfolio Standard  

Reports and Publications (EIA)

This service report addresses the renewable portfolio standard provision of S. 1766. At Senator Murkowski's request it also includes an analysis of the impacts of a renewable portfolio standard patterned after the one called for in S. 1766, but where the required share is based on a 20 percent RPS by 2020 rather than the 10 percent RPS called for in S. 1766.

Alan Beamon

2002-03-01T23:59:59.000Z

200

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

DOE Green Energy (OSTI)

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.

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

2013-08-01T23:59:59.000Z

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


201

How to Respond to data Requests in Portfolio Manager  

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

"How To" Series How to Respond to Data Requests in Portfolio Manager ® EPA's ENERGY STAR Portfolio Manager tool helps you measure and track the energy use, water use, and greenhouse gas emissions of your properties, all in a secure online environment. You can use the results to identify under-performing buildings, set investment priorities, verify efficiency improvements, and receive EPA recognition for superior energy performance. Portfolio Manager provides the ability for organizations wishing to collect data from a variety of individuals to develop and use a custom Data Request within Portfolio Manager. You may receive Data Requests from other users or organizations to provide property or portfolio data as part of a program or initiative. Each request includes a

202

Voluntary Renewable Energy Portfolio Goal | Department of Energy  

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

Voluntary Renewable Energy Portfolio Goal Voluntary Renewable Energy Portfolio Goal Voluntary Renewable Energy Portfolio Goal < Back Eligibility Investor-Owned Utility Savings Category Bioenergy Buying & Making Electricity Water Solar Wind Program Info State Virginia Program Type Renewables Portfolio Standard Provider Virginia State Corporation Commission As part of legislation to re-regulate the state's electricity industry, Virginia enacted a voluntary renewable energy portfolio goal in 2007. Legislation passed in 2009 (HB 1994) expanded the goal, encouraging investor-owned utilities to procure a percentage of the power sold in Virginia from eligible renewable energy sources. Legislation passed in 2012 (SB 413) allows investor-owned utilities to meet up to 20% of a renewable energy goal through certificated research and development activity expenses

203

Portfolio-Based Planning Process for Greenhouse Gas Mitigation | Department  

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

Portfolio-Based Planning Process for Greenhouse Gas Mitigation Portfolio-Based Planning Process for Greenhouse Gas Mitigation Portfolio-Based Planning Process for Greenhouse Gas Mitigation October 7, 2013 - 10:10am Addthis The portfolio-based planning process for greenhouse gas (GHG) mitigation offers an approach to: Evaluating the GHG reduction potential at the site, program, and agency level Identifying strategies for reducing those emissions Prioritizing activities to achieve both GHG reduction and cost objectives. Portfolio-based management for GHG mitigation helps agencies move from "peanut-butter-spreading" obligations for meeting GHG reduction targets evenly across all agency operating units to strategic planning of GHG reduction activities based on each operating unit's potential and cost to reduce emissions. The result of this prioritization will lay the foundation

204

Renewable Energy and Energy Efficiency Portfolio Standard | Department of  

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

Renewable Energy and Energy Efficiency Portfolio Standard Renewable Energy and Energy Efficiency Portfolio Standard Renewable Energy and Energy Efficiency Portfolio Standard < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Home Weatherization Water Heating & Cooling Heating Water Heating Wind Program Info State North Carolina Program Type Renewables Portfolio Standard Provider North Carolina Utilities Commission North Carolina's Renewable Energy and Energy Efficiency Portfolio Standard (REPS), established by [http://www.ncleg.net/Sessions/2007/Bills/Senate/PDF/S3v6.pdf Senate Bill 3] in August 2007, requires all investor-owned utilities in the state to

205

Service Providers That Exchange Data with Portfolio Manager via Web  

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

Service Providers That Exchange Data with Portfolio Manager via Service Providers That Exchange Data with Portfolio Manager via Web Services Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training Service Providers That Exchange Data with Portfolio Manager via Web Services The companies listed below use EPA's Portfolio Manager web services to deliver ENERGY STAR energy performance scores and metrics as part of their

206

State Clean Energy Practices: Renewable Portfolio Standards  

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

State Clean Energy Practices: State Clean Energy Practices: Renewable Portfolio Standards David Hurlbut Technical Report NREL/TP-670-43512 July 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 State Clean Energy Practices: Renewable Portfolio Standards David Hurlbut Prepared under Task No. IGST.8300 Technical Report NREL/TP-670-43512 July 2008 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

207

Delta Hedging Energy Portfolios: An Exploratory Study  

Science Conference Proceedings (OSTI)

Delta hedging is widely used by risk managers in commodity markets because of its effectiveness and ease of use. The technique also is used in electricity markets but needs to be further adapted to account for their specificity. Given the extreme volatility of electricity prices, even a portfolio whose lifetime value is perfectly hedged may still yield large and potentially fatal cash-flow swings in the short term. Thus, risk managers must implement hedging strategies with multiple, if not contradictory,...

2005-12-21T23:59:59.000Z

208

New Evidence on Taxes and Portfolio Choices  

E-Print Network (OSTI)

liberalization, declining information costs, attraction of employer-sponsored retirement accounts (such as 401Ks in the U.S) and introduction of tax advantaged investment tools (such as registered education saving accounts in Canada) are among the explanations... to the household member with lower labor earnings. This advantage does not exist in systems of joint taxation, as in the United States. Thus in Canada (and other countries with individual taxation) it is possible to study the effect of MTR on portfolio allocation...

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

209

Comonotonic approximations for optimal portfolio selection problems  

E-Print Network (OSTI)

We investigate multiperiod portfolio selection problems in a Black & Scholes type market where a basket of 1 riskfree and m risky securities are traded continuously. We look for the optimal allocation of wealth within the class of ’constant mix ’ portfolios. First, we consider the portfolio selection problem of a decision maker who invests money at predetermined points in time in order to obtain a target capital at the end of the time period under consideration. A second problem concerns a decision maker who invests some amount of money (the initial wealth or provision) in order to be able to fullfil a series of future consumptions or payment obligations. Several optimality criteria and their interpretation within Yaari’s dual theory of choice under risk are presented. For both selection problems, we propose accurate approximations based on the concept of comonotonicity, as studied in Dhaene, Denuit, Goovaerts, Kaas & Vyncke (2002 a,b). Our analytical approach avoids simulation, and hence reduces the computing effort drastically. 1

J. Dhaene; S. Vanduffel; M. J. Goovaerts; R. Kaas; D. Vyncke

2005-01-01T23:59:59.000Z

210

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

SciTech Connect

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.

NONE

1998-01-01T23:59:59.000Z

211

Energy R&D portfolio analysis based on climate change mitigation  

SciTech Connect

The diverse nature and uncertain potential of the energy technologies that are or may be available to mitigate greenhouse gas emissions pose a challenge to policymakers trying to invest public funds in an optimal R&D portfolio. This paper discusses two analytical approaches to this challenge used to inform funding decisions related to the U.S. Department of Energy (DOE) applied energy R&D portfolio. The two approaches are distinguished by the constraints under which they were conducted: the need to provide an end-to-end portfolio analysis as input to internal DOE budgeting processes, but with limited time and subject to institutional constraints regarding important issues such as expert judgment. Because of these constraints, neither approach should be viewed as an attempt to push forward the state of the art in portfolio analysis in the abstract. Instead, they are an attempt to use more stylized, heuristic methods that can provide first-order insights in the DOE institutional context. Both approaches make use of advanced technology scenarios implemented in an integrated assessment modeling framework and then apply expert judgment regarding the likelihood of achieving associated R&D and commercialization goals. The approaches differ in the granularity of the scenarios used and in the definition of the benefits of technological advance: in one approach the benefits are defined as the cumulative emission reduction attributable to a particular technology; in the other approach benefits are defined as the cumulative cost reduction. In both approaches a return on investment (ROI) criterion is established based on benefits divided by federal R&D investment. The ROI is then used to build a first-order approximation of an optimal applied energy R&D investment portfolio. Although these methodologies have been used to inform an actual budget request, the results reflect only one input among many used in budget formulation. The results are therefore not representative of an official U.S. government or DOE funding recommendation but should instead be considered illustrative of the way in which methodologies such as these could be applied.

Pugh, Graham; Clarke, Leon E.; Marlay, Robert; Kyle, G. Page; Wise, Marshall A.; McJeon, Haewon C.; Chan, Gabriel

2011-07-01T23:59:59.000Z

212

BioCarbon Fund Project Portfolio | Open Energy Information  

Open Energy Info (EERE)

Portfolio Portfolio Jump to: navigation, search Name BioCarbon Fund Project Portfolio Agency/Company /Organization World Bank Sector Land Focus Area Forestry Topics Market analysis, Policies/deployment programs, Background analysis Website http://wbcarbonfinance.org/Rou Country Albania, China, Colombia, Costa Rica, Ethiopia, Honduras, India, Kenya, Madagascar, Mali, Moldova, Nicaragua, Niger, Uganda Southern Europe, Eastern Asia, South America, Central America, Eastern Africa, Central America, Southern Asia, Eastern Africa, Eastern Africa, Western Africa, Eastern Europe, Central America, Western Africa, Eastern Africa References BioFund Projects[1] Background "The BioCarbon Fund provides carbon finance for projects that sequester or conserve greenhouse gases in forests, agro- and other ecosystems. Through

213

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

E-Print Network (OSTI)

Combining 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 technologies? To investigate this question I focus on how a renewable portfolio standard (RPS) interacts

214

An Intelligent Portfolio Management Approach to Gas Storage Field Deliverability Maintenance and  

E-Print Network (OSTI)

An Intelligent Portfolio Management Approach to Gas Storage Field Deliverability Maintenance. #12;Objective To modify and apply the state-of-the-art intelligent, optimum portfolio management Intelligence Tool can predict Skin with high confidence The Portfolio Management for re-stimulation candidate

Mohaghegh, Shahab

215

Environmental Protection Agency (EPA) Portfolio Manager | Open Energy  

Open Energy Info (EERE)

Environmental Protection Agency (EPA) Portfolio Manager Environmental Protection Agency (EPA) Portfolio Manager Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Environmental Protection Agency (EPA) Portfolio Manager Agency/Company /Organization: United States Environmental Protection Agency Partner: Energy Star Sector: Climate, Energy Focus Area: Buildings, Greenhouse Gas, Water Conservation Phase: Determine Baseline, Develop Goals, Evaluate Effectiveness and Revise as Needed Resource Type: Online calculator User Interface: Website Website: www.energystar.gov/index.cfm?c=evaluate_performance.bus_portfoliomanag Cost: Free EPA's ENERGY STAR Portfolio Manager is a web-based energy management tool designed to measure, track, and benchmark water and energy consumption (and the resulting greenhouse gas emissions) specifically from an organization's

216

Renewables Portfolio Standards: What Are We Learning? | Department of  

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

Renewables Portfolio Standards: What Are We Learning? Renewables Portfolio Standards: What Are We Learning? Renewables Portfolio Standards: What Are We Learning? Renewables Portfolio Standards: 13 states have enacted RPS policies, which obligate suppliers to deliver a certain amount of renewable energy. Renewable Energy Funds: 15 states have set-aside funds to financially support renewable energy sources. Green Power Markets: Utility green pricing programs, competitive green power markets, and REC marketers have all emerged. Tax Incentives: Federal production tax credit for wind, investment tax credit for solar and geothermal, and accelerated depreciation, as well as state tax incentives, all help spur development. Economics: Some forms of renewable energy, especially with tax incentives, can compete on cost alone (e.g., wind at ~2-4 cents/kWh).

217

Portfolio Manager DataTrends | ENERGY STAR Buildings & Plants  

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

Portfolio Manager DataTrends Portfolio Manager DataTrends Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Find out who's partnered with ENERGY STAR Become an ENERGY STAR partner Find ENERGY STAR certified buildings and plants ENERGY STAR certification Featured research and reports Portfolio Manager DataTrends ENERGY STAR Snapshot Energy strategy for the future

218

Renewable Portfolio Standards - Energy Efficiency Component | Department of  

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

Renewable Portfolio Standards - Energy Efficiency Component Renewable Portfolio Standards - Energy Efficiency Component Renewable Portfolio Standards - Energy Efficiency Component < Back Eligibility Investor-Owned Utility Municipal Utility Retail Supplier Program Info State Connecticut Program Type Energy Efficiency Resource Standard Provider Public Utilities Regulatory Authority Established in 1998 and subsequently revised several times, Connecticut's renewables portfolio standard (RPS) requires each electric supplier and each electric distribution company wholesale supplier to obtain at least 23% of its retail load by using renewable energy by January 1, 2020. Specific to energy efficiency, the RPS also requires each electric supplier and each electric distribution company wholesale supplier to obtain at least 4% of its retail load by using combined heat and power (CHP) systems

219

Comparing Target Finder and Portfolio Manager | ENERGY STAR Buildings &  

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

» Comparing Target Finder and Portfolio Manager » Comparing Target Finder and Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Why you should design to earn the ENERGY STAR Follow EPA's step-by-step process Step 1: Assemble a team Step 2: Set an energy performance target Step 3: Evaluate your target using ENERGY STAR tools Comparing Target Finder and Portfolio Manager

220

Pursuing Energy Efficiency From Building Simulation to Portfolio...  

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

Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis Speaker(s): Paul Mathew Date: January 4, 2002 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact:...

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


221

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

E-Print Network (OSTI)

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 ...

Naga-Jones, Ayaka

2005-01-01T23:59:59.000Z

222

A Global Portfolio Strategy for Climate Change Technology Development  

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

A Global Portfolio Strategy for Climate Change Technology Development Speaker(s): Geoffrey J. Blanford Date: July 21, 2005 - 12:00pm Location: Bldg. 90 Seminar HostPoint of...

223

Impacts of a 15-Percent Renewable Portfolio Standard  

Reports and Publications (EIA)

This analysis responds to a request from Senator Jeff Bingaman that the Energy Information Administration (EIA) analyze a renewable portfolio standard (RPS) requiring that 15 percent of U.S. electricity sales be derived from qualifying renewable energy resources.

Alan Beamon

2007-06-11T23:59:59.000Z

224

Control of investment portfolio based on complex quantile risk measures  

Science Conference Proceedings (OSTI)

Combined measures of financial risks, which are convex combinations of known measures VaR and CVar and their analogues for right-hand tails of investment portfolio profitability distribution functions, are considered. Two-stage optimization ...

E. M. Bronshtein; M. M. Kachkaeva; E. V. Tulupova

2011-02-01T23:59:59.000Z

225

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

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

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

226

Running in place : renewal portfolio standards and climate change  

E-Print Network (OSTI)

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. ...

Hogan, Michael T. (Michael Thomas)

2008-01-01T23:59:59.000Z

227

Financing Turnkey Efficiency Solutions for Small Buildings and Small Portfolios  

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

Financing Turnkey Efficiency Financing Turnkey Efficiency Solutions for Small Buildings and Small Portfolios Rois Langner NREL Rois.Langner@nrel.gov 303-275-4329 April 4, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: Disproportionate transaction costs, lack of purchasing power, financial risk, insufficient organizational capacity, and lack of technical expertise inhibit the adoption of energy efficiency measures in the small building and small portfolio (SBSP) sector at

228

Summary of Recommendations: Legislative and Regulatory Actions to Consider for Ensuring the Long-Term Effectiveness of the Nevada Renewable Portfolio Standard  

E-Print Network (OSTI)

30, 2005 Volume III: Renewable Portfolio Standard ReportEffectiveness of the Nevada Renewable Portfolio StandardMechanism (ACM) and Target ACM Funds Toward Renewable Energy

Porter, Kevin; Grace, Robert; Wiser, Ryan

2004-01-01T23:59:59.000Z

229

State Clean Energy Practices: Renewable Portfolio Standards  

SciTech Connect

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.

Hurlbut, D.

2008-07-01T23:59:59.000Z

230

State Clean Energy Practices: Renewable Portfolio Standards  

SciTech Connect

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.

Hurlbut, D.

2008-07-01T23:59:59.000Z

231

Configurable multi-perspective business process models  

Science Conference Proceedings (OSTI)

A configurable process model provides a consolidated view of a family of business processes. It promotes the reuse of proven practices by providing analysts with a generic modeling artifact from which to derive individual process models. Unfortunately, ... Keywords: Business process, Configurable process model, EPC

Marcello La Rosa; Marlon Dumas; Arthur H. M. ter Hofstede; Jan Mendling

2011-04-01T23:59:59.000Z

232

Optimal portfolio liquidation with execution cost and risk  

E-Print Network (OSTI)

We study the optimal portfolio liquidation problem over a finite horizon in a limit order book with bid-ask spread and temporary market price impact penalizing speedy execution trades. We use a continuous-time modeling framework, but in contrast with previous related papers (see e.g. [24] and [25]), we do not assume continuous-time trading strategies. We consider instead real trading that occur in discrete-time, and this is formulated as an impulse control problem under a solvency constraint, including the lag variable tracking the time interval between trades. A first important result of our paper is to show that nearly optimal execution strategies in this context lead actually to a finite number of trading times, and this holds true without assuming ad hoc any fixed transaction fee. Next, we derive the dynamic programming quasi-variational inequality satisfied by the value function in the sense of constrained viscosity solutions. We also introduce a family of value functions converging to our value function...

Kharroubi, Idris

2009-01-01T23:59:59.000Z

233

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

E-Print Network (OSTI)

curves Renewable energy supply curves Least cost dispatchcosts and performance of all conventional power and renewable energyrenewable portfolio standard Stochastic Energy Deployment System model Union of Concerned Scientists weighted average cost

Blair, N.

2010-01-01T23:59:59.000Z

234

Essays on financial analysts' forecasts  

E-Print Network (OSTI)

Wal-Mart Stores, Inc. Exxon Mobil Corp Ticker AA AIG ALD AXPGeneral Motors, IBM, 3M and Exxon Mobil. Most revisions areChase, General Motors and Exxon Mobil. This high proportion

Rodriguez, Marius del Giudice

2006-01-01T23:59:59.000Z

235

Leaders recognition for your portfolio | ENERGY STAR Buildings & Plants  

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

Earn the ENERGY STAR and other recognition Earn the ENERGY STAR and other recognition » ENERGY STAR portfolio-wide recognition » Leaders recognition for your portfolio Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Earn recognition for your building or plant

236

Guide to Custom Reporting in Portfolio Manager®  

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

o o o "How To" Series Guide to Custom Reporting in Portfolio Manager ® EPA's ENERGY STAR Portfolio Manager ® tool helps you measure and track energy use, water use, and greenhouse gas emissions of your buildings, all in a secure online environment. You can use the results to identify under-performing buildings, set investment priorities, verify efficiency improvements, and receive EPA recognition for superior energy performance. The reporting feature in Portfolio Manager offers a variety of reports and graphics to help you view and share Create a Custom Report 1. Create a report template. 2. Use the template you created to: Generate a custom report. Share your template. Request data from others. performance metrics. This includes standard reports with popular metrics, as well as custom reports

237

NREL: State and Local Activities - Renewable Portfolio Standards  

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

Renewable Portfolio Standards Renewable Portfolio Standards A renewable portfolio standard (RPS) is a regulatory mandate to increase production of energy from renewable sources such as wind, solar, biomass and other alternatives to fossil and nuclear electric generation. It's also known as a renewable electricity standard. Background An RPS is most successful in driving renewable energy projects when combined with the federal production tax credit. States often design them to drive a particular technology by providing "carve out" provisions that mandate a certain percentage of electricity generated comes from a particular technology (e.g. solar or biomass). States can choose to apply the RPS requirement to all its utilities or only the investor owned utilities. States can also define what technologies are eligible to count

238

Portfolio Manager Technical Reference: Source Energy | ENERGY STAR  

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

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

239

Portfolio Manager Technical Reference: Greenhouse Gas Emissions | ENERGY  

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

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

240

Portfolio Manager Technical Reference: Thermal Conversion Factors | ENERGY  

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

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

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


241

Portfolio Manager add properties spreadsheet | ENERGY STAR Buildings &  

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

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

242

Portfolio Manager Technical Reference: ENERGY STAR Score | ENERGY STAR  

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

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

243

Portfolio Manager Technical Reference: Green Power | ENERGY STAR Buildings  

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

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

244

Portfolio Greenness and the Financial Performance of REITs | ENERGY STAR  

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

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

245

Short-term hydroelectric generation model. Model documentation report  

DOE Green Energy (OSTI)

The purpose of this report is to define the objectives of the Energy Information Administration`s (EIA) Short-Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the EIA`s legal obligation to provide adequate documentation in support of its models.

NONE

1996-12-01T23:59:59.000Z

246

How to share data with other users in Portfolio Manager | ENERGY STAR  

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

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

247

How to get data into Portfolio Manager | ENERGY STAR Buildings & Plants  

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

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

248

How to Share Data with Other Portfolio Manager® Users  

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

"How To" Series How to Share Data with Other Portfolio Manager ® Users EPA's ENERGY STAR Portfolio Manager tool helps you measure and track energy use, water use, and greenhouse gas emissions of your buildings, all in a secure online environment. You can use the results to identify under-performing buildings, set investment priorities, verify efficiency improvements, and receive EPA recognition for superior energy performance. Sharing your properties and data is fast and easy with Portfolio Manager. There are many reasons why you may want to share access to your property, such as providing information to colleagues or other partners who are helping you to improve the performance of your portfolio . Follow

249

List of Portfolio Manager property types | ENERGY STAR Buildings & Plants  

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

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

250

How to respond to data requests in Portfolio Manager | ENERGY STAR  

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

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

251

Impact Of Renewable Energy Portfolio Standardson The Costof Solar And Wind Energyin Pjm.  

E-Print Network (OSTI)

??ABSTRACTRenewable portfolio standards (RPS) in PJM states place annual targets for generation from renewable sources of energy. These targets have impacts on the development of… (more)

Idrisu, Babatunde

2012-01-01T23:59:59.000Z

252

Energy Market Impacts of a Clean Energy Portfolio - Follow-up  

Reports and Publications (EIA)

This analysis responds to a request from Senator Coleman that the Energy Information Administration (EIA) analyze a proposed clean energy portfolio standard (CEPS).

John J. Conti

2007-02-01T23:59:59.000Z

253

For the best experience, open this PDF portfolio in Acrobat X ...  

Science Conference Proceedings (OSTI)

Page 1. For the best experience, open this PDF portfolio in Acrobat X or Adobe Reader X, or later. Get Adobe Reader Now!

2012-11-20T23:59:59.000Z

254

Oil and Gas Supply Module (OGSM), 2009, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Dana Van-Wagener

2009-07-07T23:59:59.000Z

255

Oil and Gas Supply Module (OGSM), 2007, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2007-08-14T23:59:59.000Z

256

Oil and Gas Supply Module (OGSM), 2002, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2002-03-01T23:59:59.000Z

257

Oil and Gas Supply Module (OGSM), 1998, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

1998-01-01T23:59:59.000Z

258

Oil and Gas Supply Module (OGSM), 1995, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

1996-01-01T23:59:59.000Z

259

Oil and Gas Supply Module (OGSM), 2008, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Dana Van-Wagener

2008-10-14T23:59:59.000Z

260

Oil and Gas Supply Module (OGSM), 2006, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2006-03-01T23:59:59.000Z

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


261

Oil and Gas Supply Module (OGSM), 1999, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

1999-02-01T23:59:59.000Z

262

Oil and Gas Supply Module (OGSM), 1997, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

1997-01-01T23:59:59.000Z

263

Oil and Gas Supply Module (OGSM), 2000, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2000-01-01T23:59:59.000Z

264

Oil and Gas Supply Module (OGSM), 2004, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2004-03-01T23:59:59.000Z

265

Oil and Gas Supply Module (OGSM), 2001, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2001-01-01T23:59:59.000Z

266

Oil and Gas Supply Module (OGSM), 2005, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2005-05-01T23:59:59.000Z

267

Comparison of Photovoltaic Models in the System Advisor Model: Preprint  

DOE Green Energy (OSTI)

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

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

2013-08-01T23:59:59.000Z

268

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

SciTech Connect

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.

Not Available

1994-03-01T23:59:59.000Z

269

Energy portfolio simulation considering environmental and public health impacts  

Science Conference Proceedings (OSTI)

Traditional thermal electricity production is associated with undesirable public health and environment consequences. There is growing interest in the production of electricity from renewable sources such as wind, solar, and biomass. Not unlike traditional ... Keywords: energy portfolio, environmental pollution, public health, simulation, system dynamics

Rafael Diaz; Joshua Behr; Mandar Tulpule

2011-04-01T23:59:59.000Z

270

California's Renewable Portfolio Standard Northwest Power and Conservation Council  

E-Print Network (OSTI)

California's Renewable Portfolio Standard Northwest Power and Conservation Council California Power resources are being procured and at what cost? Challenges with renewable integration Challenges with renewable integration Potential "bumps in the road" 2 #12;C lif i ' RPS PCalifornia's RPS Program Current

271

Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices  

Science Conference Proceedings (OSTI)

We use simulations to study how the diversification of electricity generation portfolios influences wholesale prices. We find that the relationship between technological diversification and market prices is mediated by the supply-to-demand ratio. In ... Keywords: electricity, market power, simulations, technology diversification

Albert Banal-Estaòol; Augusto Rupérez Micola

2009-11-01T23:59:59.000Z

272

Renewables Portfolio Standards: A Factual Introduction to Experience  

E-Print Network (OSTI)

capacity was added to the 21 states with RPS obligations and purchase mandates, from each state's date another state's mandate. In fact, significant renewable installations have occurred in states without RPS portfolio standards (RPS) have ­ since the late 1990s ­ proliferated at the state level in the United States

273

Office of Fossil Energy Hydrogen Turbine Program 2012 Portfolio  

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

b a r r i e r c o a t i n g mi c r o s t r u c t u r e P a g e 2 3 1 Office of Fossil Energy Hydrogen Turbine Program 2012 Portfolio Turbines for Coal Based Systems that Capture...

274

Taking "The Road Not Taken'': On the Benefits of Diversifying Your Academic Portfolio  

E-Print Network (OSTI)

It is common practice among young astrophysicists these days to invest research time conservatively in mainstream ideas that have already been explored extensively in the literature. This tendency is driven by peer pressure and job market prospects, and is occasionally encouraged by senior researchers. Although the same phenomenon existed in past decades, it is alarmingly more prevalent today because a growing fraction of observational and theoretical projects are pursued in large groups with rigid research agendas. In addition, the emergence of a ``standard model'' in cosmology (albeit with unknown dark components) offers secure ``bonds'' for a safe investment of research time. In this short essay, which summarizes a banquet lecture at a recent conference, I give examples for both safe and risky topics in astrophysics (which I split into categories of ``bonds,'' ``stocks,'' and ``venture capital''), and argue that young researchers should always allocate a small fraction of their academic portfolio to innova...

Loeb, Abraham

2010-01-01T23:59:59.000Z

275

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

SciTech Connect

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.

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

2010-05-01T23:59:59.000Z

276

Comonotonic approximations for a generalized provisioning problem with application to optimal portfolio selection  

Science Conference Proceedings (OSTI)

In this paper we discuss multiperiod portfolio selection problems related to a specific provisioning problem. Our results are an extension of Dhaene et al. (2005) [14], where optimal constant mix investment strategies are obtained in a provisioning and ... Keywords: Comonotonicity, Constant mix strategies, Portfolio selection, Provisioning

Koen Van Weert; Jan Dhaene; Marc Goovaerts

2011-03-01T23:59:59.000Z

277

McMaster Learning Portfolio Terms of Use July 31, 2013  

E-Print Network (OSTI)

McMaster Learning Portfolio Terms of Use July 31, 2013 Thank you for visiting the Learning Portfolio website (the "Website") of McMaster University ("McMaster"). McMaster has established these Terms of Use ("Terms") to ensure that the Website is useful, safe for everyone and provides a valuable resource

Hitchcock, Adam P.

278

Optimal Portfolio Allocation Under a Probabilistic Risk Constraint and the Incentives for Financial Innovation ?  

E-Print Network (OSTI)

Keywords: Portfolio Optimization, Value–at–Risk, NP-hard We derive, in a complete markets environment, an investor’s optimal portfolio allocation subject to both a budget constraint and a probabilistic risk constraint. We demonstrate that the set of feasible portfolios need not be connected or convex, while the number of local optima increases exponentially with the number of securities implying that finding the optimal portfolio is computationally complex (NP hard). The resulting optimal portfolio allocation may not be monotonic in the state–price density. A novel type of financial innovation, which splits states of nature, is shown to weakly enhance welfare, restore monotonicity in the state–price density, and may reduce complexity.

Jón Daníelsson; Casper G. De Vries; Bjørn N. Jorgensen; Xiaoguang Yang

2001-01-01T23:59:59.000Z

279

ENERGY STAR Portfolio Manager Data Trends: Energy Use In Hotels  

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

Hotels Hotels The U.S. Environmental Protection Agency's (EPA) ENERGY STAR Portfolio Manager is changing the way organizations track and manage energy. Because of this widespread market adoption, EPA has prepared the DataTrends series to examine benchmarking and trends in energy and water consumption in Portfolio Manager. To learn more, visit www.energystar.gov/DataTrends. Energy use intensity (EUI) ranges from less than 100 to more than 800 kBtu/ft 2 across all hotel buildings, with those at the 95th percentile using almost 4 times the energy of those at the 5th percentile. The distribution has a negative skew, which means the most energy intensive buildings are much further away from

280

Evaluating a Proposed 20% National Renewable Portfolio Standard  

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

161 161 February 2009 Evaluating a Proposed 20% National Renewable Portfolio Standard Jeffrey Logan, Patrick Sullivan, Walter Short, Lori Bird, Ted L. James, and Monisha R. Shah National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-45161 February 2009 Evaluating a Proposed 20% National Renewable Portfolio Standard Jeffrey Logan, Patrick Sullivan, Walter Short, Lori Bird, Ted L. James, and Monisha R. Shah Prepared under Task No. SAO7.9C50 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

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


281

Retrospective on the Seniors' Council Tier 1 LDRD portfolio.  

DOE Green Energy (OSTI)

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.

Ballard, William Parker

2012-04-01T23:59:59.000Z

282

A Global Portfolio Strategy for Climate Change Technology Development  

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

A Global Portfolio Strategy for Climate Change Technology Development A Global Portfolio Strategy for Climate Change Technology Development Speaker(s): Geoffrey J. Blanford Date: July 21, 2005 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Afzal Siddiqui John Stoops In this study we propose a novel formulation of a decision problem in R&D strategy. The problem is motivated by and applied to the context of technologies relevant to global climate change, but is characterized in general by an aggregate R&D decision-maker with a social welfare objective, technology diffusion markets subject to externalities in which private costs are minimized, and uncertainty in both technological and environmental factors. A technology strategy is defined as the allocation of R&D investment across several broad research programs, and the

283

Oil and Gas Supply Module (OGSM), 2003 Vol. I, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2003-04-01T23:59:59.000Z

284

Oil and Gas Supply Module (OGSM), 2003 Vol. II, Model Documentation  

Reports and Publications (EIA)

Defines 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.

Information Center

2003-04-01T23:59:59.000Z

285

Supporting Solar Power in Renewables Portfolio Standards: Experience from  

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

Supporting Solar Power in Renewables Portfolio Standards: Experience from Supporting Solar Power in Renewables Portfolio Standards: Experience from the United States Title Supporting Solar Power in Renewables Portfolio Standards: Experience from the United States Publication Type Report Refereed Designation Unknown Year of Publication 2010 Authors Wiser, Ryan H., Galen L. Barbose, and Edward Holt Pagination 49 Date Published 10/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department, photovoltaics, renewable energy, renewable energy policies Abstract 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.

286

Analysis of a 10-Percent Renewable Portfolio Standard, Supplement to  

Reports and Publications (EIA)

On June 10, 2003, Senator Pete Domenici, Chairman of the Senate Committee on Energyand Natural Resources, requested additional analysis of a Renewable Portfolio Standard(RPS), expected to be proposed as an amendment to energy legislation currently pendingbefore the U.S. Senate.1 This request asked the Energy Information Administration(EIA) to provide additional results from two previously released EIA analyses2 of theproposed legislation, and to conduct further analyses with modified assumptions.

Alan Beamon

2003-06-30T23:59:59.000Z

287

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

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.

1997-02-01T23:59:59.000Z

288

Use web services to exchange data with Portfolio Manager | ENERGY STAR  

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

Service and product providers Service and product providers » Use web services to exchange data with Portfolio Manager Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can ENERGY STAR help your business? Get started Help your clients improve energy performance with ENERGY STAR Earn recognition for your company Use web services to exchange data with Portfolio Manager

289

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

SciTech Connect

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.

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

290

The Treatment of Renewable Energy Certificates, Emissions Allowances, and Green Power Programs in State Renewables Portfolio Standards  

E-Print Network (OSTI)

benefits from renewable energy production accrue to thefinance the production of renewable energy to meet portfolioUnit of Production definition: “One Renewable Energy Credit

Holt, Edward A.; Wiser, Ryan H.

2007-01-01T23:59:59.000Z

291

ENERGY STAR portfolio-wide recognition | ENERGY STAR Buildings & Plants  

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

ENERGY STAR portfolio-wide recognition ENERGY STAR portfolio-wide recognition Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Earn recognition for your building or plant Earn recognition for your commercial construction project ENERGY STAR portfolio-wide recognition

292

How to Get Utility Data Into Portfolio Manager--How To Series  

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

1 1    "How To" Series How to Get Utility Data Into Portfolio Manager ® EPA's ENERGY STAR Portfolio Manager tool helps you measure and track energy use, water use, and greenhouse gas emissions of your buildings, all in a secure online environment. You can use the tool to identify under-performing buildings, set investment priorities, verify efficiency improvements, and receive EPA recognition for superior energy performance. Entering utility data is quick and easy with Portfolio Manager. There are three ways to enter energy and water data for your property or portfolio: Enter data manually (create/update one meter at a time). Upload data using spreadsheet templates (create/update multiple meters at once).

293

Renewable Portfolio Standards in the United States: A Status Report with  

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

Renewable Portfolio Standards in the United States: A Status Report with Renewable Portfolio Standards in the United States: A Status Report with Data Through 2007 Title Renewable Portfolio Standards in the United States: A Status Report with Data Through 2007 Publication Type Report Refereed Designation Unknown Year of Publication 2008 Authors Wiser, Ryan H., and Galen L. Barbose Pagination 40 Date Published 04/2008 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department, renewable energy, renewable energy policies, wind energy Abstract As the popularity of renewables portfolio standards (RPS) has grown, so too has the need to keep up with the design, early experience, and projected impacts of these programs. This report - the first in a regular series - seeks to fill this need by providing basic, factual information on RPS policies in the United States.

294

Risk-adjusted approach to optimize investments in product development portfolios  

Science Conference Proceedings (OSTI)

Companies invest in a portfolio of products with the financial objective of increasing revenue and net profit. They also have a limited product development budget and uncertainty around which products will be successful. In this paper, we offer a methodology ...

D. Subramanian; P. Huang; C. Pulavarthi; J. Xu; H. Sekhar; S. Zhan; S. Tripathi; S. Kumar

2010-05-01T23:59:59.000Z

295

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

E-Print Network (OSTI)

L ABORATORY Supporting Solar Power in Renewables PortfolioLBNL- 3984E Supporting Solar Power in Renewables Portfolioof the concentrating solar power (CSP) market in the U.S.

Wiser, Ryan

2010-01-01T23:59:59.000Z

296

An Update on Fisker Automotive and the Energy Department's Loan Portfolio  

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

An Update on Fisker Automotive and the Energy Department's Loan An Update on Fisker Automotive and the Energy Department's Loan Portfolio An Update on Fisker Automotive and the Energy Department's Loan Portfolio September 17, 2013 - 5:20pm Addthis An Update on Fisker Automotive and the Energy Department’s Loan Portfolio Peter W. Davidson Peter W. Davidson Executive Director of the Loan Program Office (LPO) What are the key facts? Thanks to investments made by the Obama Administration, the U.S. auto industry has had three straight years of rapid growth after seven straight years of decline. Despite Fisker Automotive's bankruptcy setback, the DOE loan portfolio remains very strong -- and is playing a crucial role in helping America's auto industry thrive, innovate and compete. When the President took office, America's auto industry was on the brink

297

U.S. Virgin Islands - Renewables Portfolio Targets | Department of Energy  

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

U.S. Virgin Islands - Renewables Portfolio Targets U.S. Virgin Islands - Renewables Portfolio Targets U.S. Virgin Islands - Renewables Portfolio Targets < Back Eligibility Utility Program Info Program Type Renewables Portfolio Standard In July 2009, the Virgin Islands passed Act 7075. Among other provisions, the legislation establishes that the "peak demanded generating capacity" of the Virgin Islands Water and Power Authority* must be from renewables according to the following schedule: * 20% by January 1, 2015 * 25% by January 1, 2020 * 30% by January 1, 2025 It further establishes that a "majority" of this generating capacity must come from renewables or alternative technologies beyond 2025. Joint rulemaking is to be undertaken by the Virgin Islands Energy Office and the Virgin Islands Water and Power Authority, although the rules are not yet

298

Analysis of a 10-percent Renewable Portfolio Standard  

Reports and Publications (EIA)

On May 8, 2003, Senator Jeff Bingaman, the Ranking Minority Member of the SenateCommittee on Energy and Natural Resources, requested an analysis of a nationwideRenewable Portfolio Standard (RPS) program proposed to be amended to energylegislation currently pending before the U.S. Senate1. With his request Sen. Bingamanprovided specific information on the program to be analyzed. This analysis was preparedin response to his request and projects the impact of the proposed program on energysupply, demand, prices, and emissions. The analysis is based on the Annual EnergyOutlook 2003 (AEO2003) projections of energy supply, demand, and prices through2025, as updated in May 2003.

Alan Beamon

2003-05-01T23:59:59.000Z

299

Analysis of a 10-Percent Renewable Portfolio Standard, Addendum  

Reports and Publications (EIA)

On May 8, 2003, Senator Jeff Bingaman, the Ranking Minority Member of the SenateCommittee on Energy and Natural Resources, requested an analysis of a nationwideRenewable Portfolio Standard (RPS) program proposed to be amended to energylegislation currently pending before the U.S. Senate1. With his request Sen. Bingamanprovided specific information on the program to be analyzed. This analysis was preparedin response to his request and projects the impact of the proposed program on energysupply, demand, prices, and emissions. The analysis is based on the Annual EnergyOutlook 2003 (AEO2003) projections of energy supply, demand, and prices through2025, as updated in May 2003.

Alan Beamon

2003-06-01T23:59:59.000Z

300

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

SciTech Connect

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.

NONE

1995-02-01T23:59:59.000Z

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


301

Industrial Demand Module 1998, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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 ofthe 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 supportof its models (Public Law 94-385, section 57.b2). 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.

T. Crawford Honeycutt

1998-01-01T23:59:59.000Z

302

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

DOE Green Energy (OSTI)

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.

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

2009-03-01T23:59:59.000Z

303

Petroleum Market Module Model Documentation (Volume 1) 1997  

Reports and Publications (EIA)

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).

Han-Lin Lee

1997-01-01T23:59:59.000Z

304

Petroleum Market Module Model Documentation (Volume 1) 2002  

Reports and Publications (EIA)

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).

Han-Lin Lee

2002-03-01T23:59:59.000Z

305

Petroleum Market Module Model Documentation (Volume 1) 2004  

Reports and Publications (EIA)

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).

Han-Lin Lee

2004-03-01T23:59:59.000Z

306

Petroleum Market Module Model Documentation (Volume 1) 1998  

Reports and Publications (EIA)

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).

Han-Lin Lee

1997-12-01T23:59:59.000Z

307

Petroleum Market Module Model Documentation (Volume 1) 2001  

Reports and Publications (EIA)

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).

Han-Lin Lee

2001-02-01T23:59:59.000Z

308

Petroleum Market Module Model Documentation (Volume 1) 2000  

Reports and Publications (EIA)

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).

Han-Lin Lee

1999-12-01T23:59:59.000Z

309

Petroleum Market Module Model Documentation (Volume 1) 2003  

Reports and Publications (EIA)

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).

Han-Lin Lee

2003-02-01T23:59:59.000Z

310

Petroleum Market Module Model Documentation (Volume 1) 1995  

Reports and Publications (EIA)

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).

Han-Lin Lee

1995-12-01T23:59:59.000Z

311

Petroleum Market Module (Volume 2), Model Documentation 2003  

Reports and Publications (EIA)

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).

Han-Lin Lee

2003-02-01T23:59:59.000Z

312

Petroleum Market Module (Volume 2), Model Documentation 2002  

Reports and Publications (EIA)

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).

Han-Lin Lee

2002-03-01T23:59:59.000Z

313

Petroleum Market Module (Volume 2), Model Documentation 2004  

Reports and Publications (EIA)

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).

Han-Lin Lee

2004-03-01T23:59:59.000Z

314

Petroleum Market Module Model Documentation (Volume 1) 1994  

Reports and Publications (EIA)

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).

Han-Lin Lee

1994-12-01T23:59:59.000Z

315

Petroleum Market Module Model Documentation (Volume 1) 1999  

Reports and Publications (EIA)

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).

Han-Lin Lee

1998-12-01T23:59:59.000Z

316

Technical Update -- Wind and Solar PV Modeling and Model Validation  

Science Conference Proceedings (OSTI)

The proliferation of variable generation technologies, particularly wind generation, into the bulk transmission grid in the U.S. and internationally has been significant over the past decade. This trend will most likely continue in light of national (in other countries) and state renewable portfolio standards. Thus, there is at present a need for generic, standard and publicly available models for variable generation technologies for the purpose of power system planning studies. EPRI has ...

2012-11-30T23:59:59.000Z

317

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

SciTech Connect

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.

NONE

1995-03-01T23:59:59.000Z

318

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

Science Conference Proceedings (OSTI)

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 that provides 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.

NONE

1997-01-01T23:59:59.000Z

319

Microsoft PowerPoint - DSSE_Portfolio.pptx  

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

Delivering CSAT Business Intelligence Delivering CSAT Business Intelligence Data Systems Sciences & Engineering Group Computational Sciences & Engineering Division  Problem Statement: - As the amount of data captured continues to increase, DHS needs a powerful, easy to use tool for quickly providing in-depth data analysis  Technical Approach: - Data warehouse backend (Star Schema design) - Data delivery via GUI Web 2.0 interface - Multi-focus design (strategic, tactical, and operational) u t ocus des g (st ateg c, tact ca , a d ope at o a ) - Supports customizable dashboard that allows easy adaptation to varied uses and staff roles - Mobile device compliant  Benefit: - A customizable user-driven intuitive data delivery system - A customizable, user-driven, intuitive, data delivery system facilitates knowledge discovery and decision support at the analyst,

320

Microsoft PowerPoint - DSSE_Portfolio.pptx  

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

Information Analysis and Visualization Facility Information Analysis and Visualization Facility Data Systems Sciences & Engineering Group Computational Sciences & Engineering Division  Problem Statement: - Stakeholders need to quickly and easily illustrate, explore, and communicate findings  Technical Approach: - Design and implement a state-of-the-art , immersive, collaborative information space - Part of an integrated 4700ft2 suite including a computing facility, document repository, and secure analyst cubicles docu e t epos to y, a d secu e a a yst cub c es - Classified and unclassified information feeds - Composite video wall - 8' H x 28' W - 2100 x 7000 pixels - 12 dual monitor workstations with switchable access to both classified and unclassified networks - Integrated multi-touch table PC - Secure Terminal Equipment telephones

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


321

Empirical Hardness Models: Methodology and a Case Study on Combinatorial Auctions  

E-Print Network (OSTI)

Empirical Hardness Models: Methodology and a Case Study on Combinatorial Auctions KEVIN LEYTON to be hard or easy. We also present two applications of our models: building algorithm portfolios that outperform their constituent algorithms, and generating test distributions that emphasize hard problems. We

Shoham, Yoav

322

The cost of geothermal energy in the western US region:a portfolio-based approach a mean-variance portfolio optimization of the regions' generating mix to 2013.  

DOE Green Energy (OSTI)

Energy planning represents an investment-decision problem. Investors commonly evaluate such problems using portfolio theory to manage risk and maximize portfolio performance under a variety of unpredictable economic outcomes. Energy planners need to similarly abandon their reliance on traditional, ''least-cost'' stand-alone technology cost estimates and instead evaluate conventional and renewable energy sources on the basis of their portfolio cost--their cost contribution relative to their risk contribution to a mix of generating assets. This report describes essential portfolio-theory ideas and discusses their application in the Western US region. The memo illustrates how electricity-generating mixes can benefit from additional shares of geothermal and other renewables. Compared to fossil-dominated mixes, efficient portfolios reduce generating cost while including greater renewables shares in the mix. This enhances energy security. Though counter-intuitive, the idea that adding more costly geothermal can actually reduce portfolio-generating cost is consistent with basic finance theory. An important implication is that in dynamic and uncertain environments, the relative value of generating technologies must be determined not by evaluating alternative resources, but by evaluating alternative resource portfolios. The optimal results for the Western US Region indicate that compared to the EIA target mixes, there exist generating mixes with larger geothermal shares at equal-or-lower expected cost and risk.

Beurskens, Luuk (ECN-Energy Research Centre of the Netherland); Jansen, Jaap C. (ECN-Energy Research Centre of the Netherlands); Awerbuch, Shimon Ph.D. (.University of Sussex, Brighton, UK); Drennen, Thomas E.

2005-09-01T23:59:59.000Z

323

Microsoft Word - FY13_Technology_Innovation_Portfolio_CX.docx  

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

Innovation - ST-3 Innovation - ST-3 Matt DeLong Contract Specialist for Technology Innovation Projects - NSSP-4 Proposed Action: FY 2013 Technology Innovation Portfolio Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B5.1 Actions to conserve energy or water; B3.6 Small-scale research and development, laboratory operations, and pilot projects Location: Portland, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to fund or partially fund various federal research laboratories, universities, utilities, companies, and research institutes to conduct research and develop pilot projects that promote energy efficiency and conservation in transmission infrastructure and power grid operations through BPA's Fiscal Year 2013

324

Microsoft PowerPoint - PortfolioManager_Webinar_4Feb10_Updated  

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

Water and Energy Use in Portfolio Manager & the C&W EC Challenge Water and Energy Use in Portfolio Manager & the C&W EC Challenge Training Webinar Feb4th, 2010 2 Presentation Team EPA ENERGY STAR Alyssa Quarforth, Program Manager, Commercial Property Markets Andrew Schulte, ICF International in support of ENERGY STAR C&W Client Solutions Eleni Reed, Director, Sustainability Strategies 3 Agenda Training Objectives Background (C&W) ENERGY STAR Program C&W Energy Efficiency & Water Efficiency Policies C&W Environmental Challenge requirements Benchmarking 201 (EPA ENERGY STAR) Sharing data with the C&W Master Account Tracking metrics for Environmental Challenge Frequently asked questions on benchmarking and Portfolio Manager 4 Training Objectives Review C&W procedures for tracking energy

325

New Biofuel Technology to Diversify U.S. Energy Portfolio | Department of  

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

New Biofuel Technology to Diversify U.S. Energy Portfolio New Biofuel Technology to Diversify U.S. Energy Portfolio New Biofuel Technology to Diversify U.S. Energy Portfolio September 26, 2012 - 4:09pm Addthis Agrivida, a biotechnology firm, is developing a plants with enzymes that will help reduce the costs of biofuels. | Photo courtesy of Agrivida. Agrivida, a biotechnology firm, is developing a plants with enzymes that will help reduce the costs of biofuels. | Photo courtesy of Agrivida. Cori Sue Morris Communications Specialist, Office of Energy Efficiency and Renewable Energy What are the key facts? Increased production of domestic biofuels could cut foreign oil imports by 33 percent over 15 years, resulting in increased energy security and independence. Biofuel production has the potential to create jobs for Americans in

326

New Biofuel Technology to Diversify U.S. Energy Portfolio | Department of  

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

Biofuel Technology to Diversify U.S. Energy Portfolio Biofuel Technology to Diversify U.S. Energy Portfolio New Biofuel Technology to Diversify U.S. Energy Portfolio September 26, 2012 - 4:09pm Addthis Agrivida, a biotechnology firm, is developing a plants with enzymes that will help reduce the costs of biofuels. | Photo courtesy of Agrivida. Agrivida, a biotechnology firm, is developing a plants with enzymes that will help reduce the costs of biofuels. | Photo courtesy of Agrivida. Cori Sue Morris Communications Specialist, Office of Energy Efficiency and Renewable Energy What are the key facts? Increased production of domestic biofuels could cut foreign oil imports by 33 percent over 15 years, resulting in increased energy security and independence. Biofuel production has the potential to create jobs for Americans in

327

DOE Hydrogen Analysis Repository: A Portfolio of Power-Trains for Europe  

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

A Portfolio of Power-Trains for Europe A Portfolio of Power-Trains for Europe Project Summary Full Title: A Portfolio of Power-Trains for Europe: A Fact-Based Analysis Project ID: 266 Principal Investigator: Brief Description: This study reports the results of a factual evaluation of battery electric vehicles, fuel cell electric vehicles, plug-in hybrid electric vehicles, and internal combustion engine vehicles for the European market based on proprietary industry data. Keywords: Alternative fuel vehicles (AFV); Fuel cell vehicles (FCV); Plug-in hybrid electric vehicles (PHEV); Costs; Greenhouse gases (GHG); Emissions; Battery electric vehicles (BEV); Internal combustion engine (ICE); Hydrogen Purpose A group of companies, government organisations and a non-governmental organization - the majority with a specific interest in fuel cell

328

DNA Analyst Training on Mixture Interpretation  

Science Conference Proceedings (OSTI)

... In order to access the event, you must have either Microsoft Internet Explorer 6.0+ or Mozilla Firefox 3+ browser for Windows operating systems. ...

2013-05-28T23:59:59.000Z

329

Portfolio Manager Technical Reference: U.S. National Energy Use Intensity |  

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

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

330

Visual agent-based model development with repast simphony.  

SciTech Connect

Repast is a widely used, free, and open-source agent-based modeling and simulation toolkit. Three Repast platforms are currently available, each of which has the same core features but a different environment for these features. Repast Simphony (Repast S) extends the Repast portfolio by offering a new approach to simulation development and execution. This paper presents a model of physical infrastructure network interdependency as an introductory tutorial and illustration of the visual modeling capabilities of Repast S.

North, M. J.; Tatara, E.; Collier, N. T.; Ozik, J.; Decision and Information Sciences; Univ. of Chicago; PantaRei Corp.

2007-01-01T23:59:59.000Z

331

Weighing the Costs and Benefits of State Renewables Portfolio Standards in the United States: A Comparative Analysis of State-Level Policy Impact Projections  

E-Print Network (OSTI)

Energy Portfolio Standard on Retail Electric Rates in Colorado.Energy Standard in Amendment 37 on Retail Electric Rates in Colorado.

Chen, Cliff

2009-01-01T23:59:59.000Z

332

Assessment of Supply Chain Energy Efficiency Potentials: A U.S. Case Study  

E-Print Network (OSTI)

modeling detail allows energy and policy analysts to betterwhich should allow energy and policy analysts to betterin this paper can allow energy and policy analysts to better

Masanet, Eric

2010-01-01T23:59:59.000Z

333

Oil and Natural Gas Market Supply and Renewable Portfolio Standard Impacts of Selected Provisions of H.R. 3221  

Gasoline and Diesel Fuel Update (EIA)

Oil and Natural Gas Market Supply and Renewable Portfolio Standard Impacts of Selected Provisions of Oil and Natural Gas Market Supply and Renewable Portfolio Standard Impacts of Selected Provisions of H.R. 3221 1 Oil and Natural Gas Market Supply and Renewable Portfolio Standard Impacts of Selected Provisions of H.R. 3221 November 2007 This paper responds to an October 31, 2007, request from Representatives Barton, McCrery, and Young. Their letter, a copy of which is provided as Appendix A, asks the Energy Information Administration (EIA) to assess selected provisions of H.R. 3221, the energy bill adopted by the House of Representatives in early August 2007. EIA was asked to focus on Title VII, dealing with energy on Federal lands; Section 9611, which would establish a Federal renewable portfolio standard (RPS) for certain electricity sellers; and Section 13001, which would eliminate the

334

An effective approach to choosing project, program and portfolio management software at a large and geographically diverse company  

E-Print Network (OSTI)

Selecting and deploying an IT tool can be very complicated and expensive. This paper studies a particular approach to choosing project, program and portfolio management software at one large and geographically diverse ...

Brost, Missy M. (Missy Marie)

2009-01-01T23:59:59.000Z

335

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

E-Print Network (OSTI)

on Electric Rates in Colorado The Colorado Renewable EnergyEnergy Portfolio Standard on Retail Electric Rates in Colorado.Energy Standard in Amendment 37 on Retail Electric Rates in Colorado.

Chen, Cliff; Wiser, Ryan; Bolinger, Mark

2007-01-01T23:59:59.000Z

336

Portfolio Substitution and the Revenue Cost of the Federal Income Tax Exemption for State and Local Government Bonds  

E-Print Network (OSTI)

This paper illustrates how different assumptions about household portfolio behavior influence estimates of the amount of individual income tax revenue that would be collected if the interest tax exemption for state and ...

Poterba, James M.

337

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

SciTech Connect

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.

Chen, Cliff; Wiser, Ryan; Bolinger, Mark

2007-01-16T23:59:59.000Z

338

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

E-Print Network (OSTI)

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

Meininger, Aaron G.

2012-01-01T23:59:59.000Z

339

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

E-Print Network (OSTI)

NOTICE OF RENEWABLE POWER STANDARDS (RPS) MEETING Renewable Portfolio Standard Plan Before Council Background On April 12, 2011, Governor Brown signed into law Senate Bill X1 2, establishing a Renewables establishes minimum quantities of renewable energy resources that load serving entities must procure annually

340

Design and implementation of fuzzy expert system for Tehran Stock Exchange portfolio recommendation  

Science Conference Proceedings (OSTI)

The key issue for decision making in stock trading is selection of the right stock at the right time. In order to select the superior stocks (alternatives) for investment, a finite number of alternatives have to be ranked considering several and sometimes ... Keywords: Fuzzy Delphi Method, Fuzzy expert system, Multiple Criteria Decision Making (MCDM), Portfolio recommendation, Tehran Stock Exchange (TSE)

Mehdi Fasanghari; Gholam Ali Montazer

2010-09-01T23:59:59.000Z

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


341

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

342

Motor Gasoline Market Model documentation report  

SciTech Connect

The purpose of this report is to define the objectives of the Motor Gasoline Market Model (MGMM), describe its basic approach and to provide detail on model functions. This report is intended as a reference document for model analysts, users, and the general public. The MGMM performs a short-term (6- to 9-month) forecast of demand and price for motor gasoline in the US market; it also calculates end of month stock levels. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on market price, demand and stock level.

1993-09-01T23:59:59.000Z

343

The renewables portfolio standard in Texas: An early assessment  

DOE Green Energy (OSTI)

Texas has rapidly emerged as one of the leading wind power markets in the United States. This development can be largely traced to a well-designed and carefully implemented renewables portfolio standard (RPS). The RPS is a new policy mechanism that has received increasing attention as an attractive approach to support renewable power generation. Though replacing existing renewable energy policies with an as-of-yet largely untested approach in the RPS is risky, early experience from Texas suggests that an RPS can effectively spur renewables development and encourage competition among renewable energy producers. Initial RPS targets in Texas will be far exceeded by the end of 2001, with as much as 930 MW of wind slated for installation this year. RPS compliance costs appear negligible, with new wind projects reportedly contracted for under 3(US)/242/kWh, in part as a result of a 1.7(US)/242/kWh production tax credit, an outstanding wind resource, and an RPS that is sizable enough to drive project economies of scale. Obliged retail suppliers have been willing to enter into long-term contracts with renewable generators, reducing important risks for both the developer and the retail supplier. Finally, the country's first comprehensive renewable energy certificate program has been put into place to monitor and track RPS compliance.

Wiser, Ryan H.; Langniss, Ole

2001-11-01T23:59:59.000Z

344

Generic Models and Model Validation for Wind and Solar PV Generation: Technical Update  

Science Conference Proceedings (OSTI)

The influx of variable generation technologies, particularly wind generation, into the bulk transmission grid in the U.S. and internationally has been significant over the past decade. This trend will most likely continue in light of national (in other countries) and state renewable portfolio standards. Thus, there is at present a need for generic, standard and publicly available models for variable generation technologies for the purpose of power system planning studies. EPRI has been a key participant ...

2011-12-20T23:59:59.000Z

345

Modeling and Model Validation for Variable Generation Technologies: Focus on Wind Generation  

Science Conference Proceedings (OSTI)

The influx of variable-generation technologies, particularly wind generation, into the bulk transmission grid has been tremendous over the past decade. This trend will likely continue, in light of national and state renewable portfolio standards. Thus, there is a need for generic, standard, and publicly available models for variable-generation technologies for power system planning studies. The Electric Power Research Institute (EPRI), in collaboration with the Western Electricity Coordinating Council (...

2010-12-14T23:59:59.000Z

346

Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1,000 for conference travel, including  

E-Print Network (OSTI)

Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1 for either a poster or oral presentation at the conference. 6. The research to be presented must be nano will not be considered. 10.Travel awards will be decided by a committee of CNM-affiliated faculty. #12;Nano Portfolio

Ben-Yakar, Adela

347

NREL: Energy Analysis - News Archive 2008  

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

8 8 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 December 2008 TAP Web Seminar: Green Building Principles SEPA Seminar: Using the SAM Model Solar PV Supply Curves Economic Development from Wind Energy Analysts Meet With Stakeholders November 2008 Renewable Energy Development and the Role of Policy Growth in Green Power Analysts Meet With Stakeholders October 2008 TAP Web Seminar: Energy Efficiency in Data Centers Solar Advisor Model Hydrogen Infrastructure Analysis Resources for States Analysts Meet With Stakeholders September 2008 Analytic Framework for Evaluation of State Energy Efficiency and Renewable Energy Policies with Reference to Stakeholder Drivers State Clean Energy Practices: Renewable Portfolio Standards State Clean Energy Practices: Renewable Fuel Standards

348

Model documentation report: Short-Term Hydroelectric Generation Model  

DOE Green Energy (OSTI)

The purpose of this report is to define the objectives of the Short- Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the Energy Information Administration`s (AYE) legal obligation to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). The STHGM performs a short-term (18 to 27- month) forecast of hydroelectric generation in the United States using an autoregressive integrated moving average (UREMIA) time series model with precipitation as an explanatory variable. The model results are used as input for the short-term Energy Outlook.

Not Available

1993-08-01T23:59:59.000Z

349

Propane Market Model documentation report  

SciTech Connect

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.

1993-12-01T23:59:59.000Z

350

Analysts Grammar or Japanese tn the Nu-ProJect -A Procedural Approach to Analysts Grammar -  

E-Print Network (OSTI)

.Ten|gucht (Kyosera Co.). Hr. A.Kosaka (~EC Co.). Mr. H.Sakamoto (Ok1 Electr|c Co.), MtSS H.Kume (JCS). Hr. N

351

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

DOE Green Energy (OSTI)

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.

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

2006-08-01T23:59:59.000Z

352

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

Science Conference Proceedings (OSTI)

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.

NONE

1996-02-26T23:59:59.000Z

353

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

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

Including Alternative Resources Including Alternative Resources in State Renewable Portfolio Standards: Current Design and Implementation Experience Jenny Heeter and Lori Bird Technical Report NREL/TP-6A20-55979 November 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Including Alternative Resources in State Renewable Portfolio Standards: Current Design and Implementation Experience Jenny Heeter and Lori Bird Prepared under Task No. SAO9.3110

354

U.S. DEPARTMENT OF ENERGY SOLID OXIDE FUEL CELLS PROGRAM | 2013 PROJECT PORTFOLIO  

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

DEPARTMENT OF ENERGY DEPARTMENT OF ENERGY SOLID OXIDE FUEL CELLS PROGRAM | 2013 PROJECT PORTFOLIO 2 THIS PAGE INTENTIONALLY LEFT BLANK OFFICE OF FOSSIL ENERGY SOLID OXIDE FUEL CELLS PROGRAM | 2013 PROJECT PORTFOLIO 3 Disclaimer DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not neces-

355

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

SciTech Connect

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.

Heeter, J.; Bird, L.

2012-11-01T23:59:59.000Z

356

ASCR X-Stack Portfolio | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

ASCR X-Stack Portfolio ASCR X-Stack Portfolio Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop Programming Challenges Workshop Architectures I Workshop External link Architectures II Workshop External link Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) Computational Science Graduate Fellowship (CSGF) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) News & Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-7486 F: (301) 903-4846 E: sc.ascr@science.doe.gov More Information »

357

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

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

258 258 May 2010 Evaluating Renewable Portfolio Standards and Carbon Cap Scenarios in the U.S. Electric Sector Lori Bird, Caroline Chapman, Jeff Logan, Jenny Sumner, and Walter Short National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-48258 May 2010 Evaluating Renewable Portfolio Standards and Carbon Cap Scenarios in the U.S. Electric Sector Lori Bird, Caroline Chapman, Jeff Logan, Jenny Sumner, and Walter Short Prepared under Task No. SAO9.2038 NOTICE

358

Distillate Market Model documentation report  

SciTech Connect

The purpose of this report is to define the objectives of the Distillate Market Model (DMM), 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 DMM performs a short-term (6- to 9-month) forecast of demand and retail price for distillate fuel oil in the national US market; it also calculates the end-of-month stock level during the term of the forecast. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on retail market price, demand, and stock level.

1993-12-01T23:59:59.000Z

359

Thinking about Generation Diversity: Electric Power Plant Asset Portfolio Valuation and Risk  

Science Conference Proceedings (OSTI)

In recent years, large amounts of natural gas-fired power generation capacity have been added to the nation’s portfolio of power generation assets. In addition, a variety of analyses and market projections imply this trend will continue for a variety of reasons, including large and growing supplies of natural gas due to the “shale boom,” and commensurate low natural gas prices, and imposition of increasingly stringent environmental regulations associated with coal-fired ...

2013-12-16T23:59:59.000Z

360

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

SciTech Connect

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.

NONE

1994-12-30T23:59:59.000Z

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


361

Relative Risk Model for Transmission and Distribution Electric Infrastructure (General RRM) Version 1.0  

Science Conference Proceedings (OSTI)

The General Relative Risk Model (RRM) is a decision support tool that provides a platform for the assessment of relative risks (human, ecological, and financial) associated with releases of dielectric fluids from a wide range of transmission and distribution (T&D) electrical equipment.  The General RRM is designed to model the relative risk of a given equipment portfolio (i.e., a user-defined grouping of T&D equipment) owned and operated by a utility.  The General RRM evaluates the ...

2012-11-28T23:59:59.000Z

362

Modeling data with multiple time dimensions  

Science Conference Proceedings (OSTI)

A large class of problems in time series analysis can be represented by a set of overlapping time series with different starting times. These time series may be treated as different probes of the same underlying process. Such probes may follow a characteristic ... Keywords: Dendrochronology, Douglas fir, Dual-time dynamics, El Malpais, Generalized additive models, Global climate change, Non-linear dynamics, Non-linear modeling, Pinon pine, Ponderosa pine, Portfolio forecasting, Retail lending, SETI@home, Scenario-based forecasting, Search for extraterrestrial intelligence, Time series, Tree rings

Joseph L. Breeden

2007-05-01T23:59:59.000Z

363

Autotune Building Energy Models  

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

service" within the BTO Strategic BEM Portfolio 5 | Building Technologies Office eere.energy.gov Approach Approach: * Multi-objective optimization algorithms to minimize error...

364

VALIDATION OF COMPUTER MODELS FOR RADIOACTIVE MATERIAL SHIPPING PACKAGES  

Science Conference Proceedings (OSTI)

Computer models are abstractions of physical reality and are routinely used for solving practical engineering problems. These models are prepared using large complex computer codes that are widely used in the industry. Patran/Thermal is such a finite element computer code that is used for solving complex heat transfer problems in the industry. Finite element models of complex problems involve making assumptions and simplifications that depend upon the complexity of the problem and upon the judgment of the analysts. The assumptions involve mesh size, solution methods, convergence criteria, material properties, boundary conditions, etc. that could vary from analyst to analyst. All of these assumptions are, in fact, candidates for a purposeful and intended effort to systematically vary each in connection with the others to determine there relative importance or expected overall effect on the modeled outcome. These kinds of models derive from the methods of statistical science and are based on the principles of experimental designs. These, as all computer models, must be validated to make sure that the output from such an abstraction represents reality [1,2]. A new nuclear material packaging design, called 9977, which is undergoing a certification design review, is used to assess the capability of the Patran/Thermal computer model to simulate 9977 thermal response. The computer model for the 9977 package is validated by comparing its output with the test data collected from an actual thermal test performed on a full size 9977 package. Inferences are drawn by performing statistical analyses on the residuals (test data--model predictions).

Gupta, N; Gene Shine, G; Cary Tuckfield, C

2007-05-07T23:59:59.000Z

365

Vehicle Technologies Office: Modeling, Testing and Analysis  

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

Modeling, Testing and Modeling, Testing and Analysis to someone by E-mail Share Vehicle Technologies Office: Modeling, Testing and Analysis on Facebook Tweet about Vehicle Technologies Office: Modeling, Testing and Analysis on Twitter Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Google Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Delicious Rank Vehicle Technologies Office: Modeling, Testing and Analysis on Digg Find More places to share Vehicle Technologies Office: Modeling, Testing and Analysis on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by

366

Integrated Modeling, Mapping, and Simulation (IMMS) framework for planning exercises.  

SciTech Connect

The Integrated Modeling, Mapping, and Simulation (IMMS) program is designing and prototyping a simulation and collaboration environment for linking together existing and future modeling and simulation tools to enable analysts, emergency planners, and incident managers to more effectively, economically, and rapidly prepare, analyze, train, and respond to real or potential incidents. When complete, the IMMS program will demonstrate an integrated modeling and simulation capability that supports emergency managers and responders with (1) conducting 'what-if' analyses and exercises to address preparedness, analysis, training, operations, and lessons learned, and (2) effectively, economically, and rapidly verifying response tactics, plans and procedures.

Friedman-Hill, Ernest J.; Plantenga, Todd D.

2010-06-01T23:59:59.000Z

367

Data mining investigation of co-movements on the Taiwan and China stock markets for future investment portfolio  

Science Conference Proceedings (OSTI)

On June 29, 2010, Taiwan signed an Economic Cooperation Framework Agreement (ECFA) with China as a major step to open markets between Taiwan and China. Thus, the ECFA will contribute by creating a closer relationship between China and Taiwan through ... Keywords: Association rules, Cluster analysis, Co-movements, Cross-national stock market, Data mining, Stock market investment portfolio

Shu-Hsien Liao; Shan-Yuan Chou

2013-04-01T23:59:59.000Z

368

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

E-Print Network (OSTI)

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over This article extends the understanding of oil­stock market relationships over the last turbulent decade. Unlike returns to oil price changes differ greatly depending on the activity sector. In the out

Paris-Sud XI, Université de

369

Fuel Cells and Renewable Portfolio Standards Webinar hosted by the Clean Energy States Alliance, the US Department of Energy, and  

E-Print Network (OSTI)

Agriculture Landfill Gas Applications: Municipal water treatment facilities Food processing and breweries for a Comprehensive Clean Energy Portfolio · Q&A Agenda #12;FuelCell Energy Worlds Leading Manufacturer and Operator & Engineering Research and Design Center Global Operations and Service Center 450 Total Employees Manufacturing

370

Renewable Portfolio Standards in the States: Balancing Goals and Implementation Strategies  

SciTech Connect

This paper reports on renewable portfolio standards (RPS) and how the RPS rules vary from state to state. This variation presents important challenges to successful implementation. Key issues are discussed in terms of resource availability, solar-specific provisions, and political and regulatory consistency, and their impacts on the ability to finance new renewable energy projects. This report emphasizes the fact that a successful RPS policy must balance a state's goals for fuel diversity, economic development, price effects, and environmental benefits.

Cory, K. S.; Swezey, B. G.

2007-12-01T23:59:59.000Z

371

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

DOE Green Energy (OSTI)

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.

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

2009-05-01T23:59:59.000Z

372

Diversification and strategic management of LLNL`s R&D portfolio  

SciTech Connect

Strategic management of LLNL`s research effort is addressed. A general framework is established by presenting the McKinsey/BCG Matrix Analysis as it applies to the research portfolio. The framework is used to establish the need for the diversification into new attractive areas of research and for the improvement of the market position of existing research in those attractive areas. With the need for such diversification established, attention is turned to optimizing it. There are limited resources available. It is concluded that LLNL should diversify into only a few areas and try to obtain full market share as soon as possible.

Glinsky, M.E.

1994-12-01T23:59:59.000Z

373

Model documentation renewable fuels module of the National Energy Modeling System  

DOE Green Energy (OSTI)

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.

NONE

1997-04-01T23:59:59.000Z

374

Weighing the Costs and Benefits of State Renewables Portfolio Standards in the United States: A Comparative Analysis of State-Level Policy Impact Projections  

Science Conference Proceedings (OSTI)

State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. 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 cost impacts, but sometimes also estimating macroeconomic, risk reduction, and environmental effects. This article synthesizes and analyzes the results and methodologies of 31 distinct state or utility-level RPS cost-impact analyses completed since 1998. Together, these studies model proposed or adopted RPS policies in 20 different states. We highlight the key findings of these studies on the projected costs of state RPS policies, examine the sensitivity of projected costs to model assumptions, evaluate the reasonableness of key input assumptions, and suggest possible areas of improvement for future RPS analyses. We conclude that while there is considerable uncertainty in the study results, the majority of the studies project modest cost impacts. Seventy percent of the state RPS cost studies project retail electricity rate increases of no greater than one percent. Nonetheless, there is considerable room for improving the analytic methods, and therefore accuracy, of these estimates.

Chen, Cliff; Wiser, Ryan; Mills, Andrew; Bolinger, Mark

2008-01-07T23:59:59.000Z

375

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

SciTech Connect

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.

Not Available

1994-04-11T23:59:59.000Z

376

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)

and benefits of alternative energy efficiency portfolios viand benefits of alternative energy efficiency portfolios (well as alternative scenarios that include different energy

Satchwell, Andrew

2011-01-01T23:59:59.000Z

377

Models  

E-Print Network (OSTI)

• A very typical statistical/econometric model assumes something like yt ? i.i.d. f (y, x, ?) (1) where f (·) is a parametric family known up to parameters ?. • Parameter estimation: maximum likelihood ˆ?n = arg max ? ln f (Yt, Xt, ?) (2) t • What if the basic model assumptions of (1) are violated? The parametric family may not contain the true model f0(x, y) that generated the data; or the data may not be i.i.d.; etc. Misspecified

Stas Kolenikov; U Of Missouri; U Of Missouri

2007-01-01T23:59:59.000Z

378

NREL: Energy Storage - Modeling and Simulation  

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

Modeling and Simulation Modeling and Simulation Two NREL researchers are silhouetted in front of computer screens displaying thermal model images. NREL modeling and simulation experts use an extensive portfolio of validated tools to assess ES solutions for advanced vehicles. Photo by Dennis Schroeder, NREL/PIX 22009 Multi-physics simulation of energy storage (ES) devices provides a less expensive, faster, and more controlled alternative to in-lab testing in the early stages of research and development (R&D)-which eventually leads to longer lasting, dependable and powerful batteries. NREL is a recognized leader in systems-level thermal design, performance, lifespan, reliability, and safety modeling and simulation. The lab's 1-D and 3-D steady-state and transient multi-physics models are used to examine heat transfer,

379

Legacy model integration with repast simphony.  

SciTech Connect

Repast is a widely used, free, and open-source, agent-based modeling and simulation toolkit. Three Repast version 3 platforms are currently available, each of which has the same core features but with differing environments for these features. Repast Simphony (Repast S) extends the Repast 3 portfolio by offering a new approach to simulation development and execution. Repast S's new simulation development capabilities include direct support for integrating existing (i.e., legacy) file-based models into agent-based simulations. This paper reviews related work on model integration and data exchange; introduces the Repast S's legacy model integration system; and discusses how the new system can be used to integrate existing file-based models, either agent-based or nonagent-based, into agent models.

North, M. J.; Sydelko, P. J.; Vos, J. R.; Howe, T. R.; Collier, N. T.; Decision and Information Sciences; Univ. of Chicago; Univ. of Illinois; PantaRei Corp.

2006-01-01T23:59:59.000Z

380

Robust Decision-making Applied to Model Selection  

DOE Green Energy (OSTI)

The scientific and engineering communities are relying more and more on numerical models to simulate ever-increasingly complex phenomena. Selecting a model, from among a family of models that meets the simulation requirements, presents a challenge to modern-day analysts. To address this concern, a framework is adopted anchored in info-gap decision theory. The framework proposes to select models by examining the trade-offs between prediction accuracy and sensitivity to epistemic uncertainty. The framework is demonstrated on two structural engineering applications by asking the following question: Which model, of several numerical models, approximates the behavior of a structure when parameters that define each of those models are unknown? One observation is that models that are nominally more accurate are not necessarily more robust, and their accuracy can deteriorate greatly depending upon the assumptions made. It is posited that, as reliance on numerical models increases, establishing robustness will become as important as demonstrating accuracy.

Hemez, Francois M. [Los Alamos National Laboratory

2012-08-06T23:59:59.000Z

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


381

Evaluating Renewable Portfolio Standards and Carbon Cap Scenarios...  

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

Regional Energy Deployment System (ReEDS) model that simulates the least-cost expansion of electricity generation capacity and transmission in the United States to examine...

382

Portfolio Investment with the Exact Tax Basis via Nonlinear ...  

E-Print Network (OSTI)

across individuals in tax rates on dividends in a dynamic model and Basak and .... The investor's preferences are given by a standard power utility function with ...

383

A status report on the design and implementation of state renewable portfolio standards and system benefits charge policies  

DOE Green Energy (OSTI)

At last year's Windpower conference, we reported on state policies to foster renewable energy as part of efforts to restructure state electric power markets. The primary policies states are pursuing for renewables are system benefits charges (SBC) and renewable portfolio standards (RPS). Renewable portfolio standard policies began taking effect this year, while other states are continuing to work on the design of their RPS implementation strategies. In addition, states have begun distributing proceeds from their SBC funds. As a result, some renewable energy projects are beginning to materialize. This paper provides an update on state efforts with these two policies and examines some of the implementation issues and difficulties that states have faced thus far.

Porter, K.; Wiser, R.

2000-05-01T23:59:59.000Z

384

Vehicle Technologies Office: Modeling, Testing and Analysis  

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

Modeling, Testing and Analysis Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by modeling, testing, and analysis. This work complements the research on batteries, power electronics, and materials, helping researchers integrate these components and ensure the whole vehicle meets consumer and commercial needs. Modeling allows researchers to build "virtual vehicles" that simulate fuel economy, emissions and performance of a potential vehicle. The Office has supported the development of several software-based analytic tools that researchers can use or license. Integration and Validation allows researchers to test physical component and subsystem prototypes as if they are in a real vehicle. Laboratory and Fleet Testing provides data on PEVs through both dynamometer and on-the-road testing. Researchers use the data to benchmark current vehicles, as well as validate the accuracy of software models.

385

The renewables portfolio standard in Texas: An early assessment  

E-Print Network (OSTI)

Energy (DOE). 2000. Database. Texas http://www.eren.doe.gov/422. Sloan, M. 2001. The Texas Model for Renewable EnergyNatsource LLC), David Hurlbut (Texas PUC), Brian Evans (RES

Wiser, Ryan H.; Langniss, Ole

2001-01-01T23:59:59.000Z

386

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

Science Conference Proceedings (OSTI)

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.

Brown, Marilyn A [ORNL

2006-07-01T23:59:59.000Z

387

Modeling  

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

ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The

388

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

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

Peer Review of the Federal Energy Management Program Peer Review of the Federal Energy Management Program (FEMP) Energy-Efficient Product Procurement (EEPP) Portfolio Meeting: Washington D.C., Dec. 4, 2012 Reviewers: David Goldstein (Chair), Harvey Sachs, Cyndi Vallina, Marina Moses, and Shahzeen Attari Review: Jan. 25, 2013 Summary The Review Committee met in Washington, D.C., and engaged in a day-long discussion with FEMP EEPP staff and contractors. Program staff gave clear and effective presentations, and we had extensive and illuminating discussions with the staff, and to a limited extent with other interested parties who attended. The Committee worked together after the meeting and by email to produce this review. Our review addresses: * strategic issues with respect to the program,

389

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

Science Conference Proceedings (OSTI)

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.

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

2010-02-01T23:59:59.000Z

390

On the Inefficiency of Portfolio Insurance and Caveats to the Mean/Downside-Risk Framework  

E-Print Network (OSTI)

Portfolio insurance strategies based on options typically treat the investment in the risky asset, e.g., stock, as fixed. We show in a mean/downside-risk framework that such a strategy is inefficient. Using at the money put options, expected returns can be increased by more than 250 basis points without taking on more risk. Gains can become arbitrarily large when one uses options with extremely high strike prices. This is due to a serious caveat to the mean/downside-risk framework that is typically adopted in the literature by substituting downside-risk measures for standard risk measures such as the variance of returns. These pathologic results vanish when one maximizes an appropriately chosen HARA utility function. In this framework, fixing the holding of the risky asset in advance leads to efficiency losses that vary between 250 and 650 basis points depending on the degree of risk aversion.

André Lucas; Cees L. Dert; Andr?e Lucas Yz; Cees L. Dert Xy

1998-01-01T23:59:59.000Z

391

Petroleum Market Model of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

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.

NONE

1997-01-01T23:59:59.000Z

392

Microsoft PowerPoint - 04 Melendez Rimando Restructuring of EM Portfolio Briefing 3 March 2010 rev 2 rcvd 8 Mar 1100 [Compatibi  

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

Title Title Restructuring the EM Portfolio A new permanent way of doing business... R. Rimando & C. Melendez March 9, 2010 1 Pre-ARRA Portfolio Structure Portfolio Structure * EM Project Baseline Summaries (PBS) j ( ) - DOE O 413.3A applied to the PBS - All-inclusive scope → "kitchen sink" All inclusive scope → kitchen sink - Prolonged durations → NTB and OPER - Budget-driven → annual shortfalls - Budget-driven → annual shortfalls - Struggling construction projects "tax" other PBS- funded work funded work - Capital work performance masked by LOE work - Perception of progress with "no completion" 2 - Perception of progress with no completion ARRA Challenges and Opportunity * How do we save and create jobs quickly?

393

Water Management Lessons for California from Statewide Hydro-economic Modeling Using the CALVIN Model  

E-Print Network (OSTI)

California’s complex water management system often defies comprehensive analysis. We summarize the results of a decade of quantification and analysis of this system from a hydro-economic perspective using the CALVIN Model. The general approach taken dates back to Roman times, when Frontinus (97 AD) began his oversight of Rome’s water system with a systematic inventory and quantification of its water system. This approach has been formalized and expanded in the modern era as economists, planners, and engineers have sought to grapple with complex water management systems and problems. In California water supply and demands are inconvenient in space and time. Most water availability is in northern California from winter precipitation and spring snow-melt; whereas water demands are more in the south during the dry summer. Consequently, major floods and seasonal and multiyear droughts characterize water resources in California. The Sacramento-San Joaquin Delta is the major north-south hub for this water network. Population growth, climate change, a vulnerable Delta, and decentralized water governance pose opportunities and challenges to water management in California. Portfolios of water management activities, including diverse general policy tools, demand management, and operations and supply expansion options, are available to manage competing demands in complex situations. Exploring promising portfolios of actions is the main intent of the CALVIN model. The CALVIN model

Jay R. Lund; Richard E. Howitt; Josué Medellín-azuara; Marion W. Jenkins

2009-01-01T23:59:59.000Z

394

Microsoft PowerPoint - DSSE_Portfolio.pptx  

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

Threat Detection and Analysis System Threat Detection and Analysis System Data Systems Sciences & Engineering Group Computational Sciences & Engineering Division  Problem Statement: - Provide real-time assessment of chemical releases and their potential effects on exposed population using current weather conditions  Technical Approach: - Integrated system of sensors, communications, software agents, database, air dispersion modeling, and visualization tools - Continuous air monitoring and predictive contaminant dispersion Co t uous a o to g a d p ed ct e co ta a t d spe s o modeling to allow immediate, and informed, event response by 911 dispatcher. - Clarion and visual sensor alerts, common operational picture, situational awareness with status of deployed sensors and detectors - Rapidly adaptation to new locations

395

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

E-Print Network (OSTI)

and A.C. Fisher. 2007. Water Availability, Degree Days, andAn Overview. Regional Water Quality Control Board CentralRegion. 2006. California Water Boards. State of California.

Mukherjee, Monobina

2013-01-01T23:59:59.000Z

396

Modeling and simulation of building energy performance for portfolios of public buildings  

Science Conference Proceedings (OSTI)

In the U.S., commercial and residential buildings and their occupants consume more than 40% of total energy and are responsible for 45% of total greenhouse gas (GHG) emissions. Therefore, saving energy and costs, improving energy efficiency and reducing ...

Young M. Lee; Fei Liu; Lianjun An; Huijing Jiang; Chandra Reddy; Raya Horesh; Paul Nevill; Estepan Meliksetian; Pawan Chowdhary; Nat Mills; Young Tae Chae; Jane Snowdon; Jayant Kalagnanam; Joe Emberson; Al Paskevicous; Elliott Jeyaseelan; Robert Forest; Chris Cuthbert; Tony Cupido; Michael Bobker; Janine Belfast

2011-12-01T23:59:59.000Z

397

A non-linear programming model for insurance company investment portfolio management in Nigeria  

Science Conference Proceedings (OSTI)

As the crucial mainstay for insurance industry to survive and develop, the insurance investment enables insurance companies to offset their possible underwriting losses and make a considerable profit. There have been many issues that affect the investment ...

Emmanuel Olateju Oyatoye; Waheed Oladimeji Arilesere

2012-01-01T23:59:59.000Z

398

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

E-Print Network (OSTI)

is investigating biogas- powered grid-independent data centres [43], the synergistic effects from using data

399

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

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

Laboratory (NREL) scientist Kirsten Orwig specializes in transmission and grid integration for wind and solar energy. She shared with us how her experiences in storm chasing...

400

PROGRAMMER/ANALYST -COMPUTER RESOURCE SPECIALIST SUPPLEMENT EMPLOYEE_NAME  

E-Print Network (OSTI)

( ) % ( ) SYSTEMS ANALYSIS ( ) % ( ) NETWORK/COMMUNICATIONS SUPPORT ( ) % ( ) PROJECT MANAGEMENT ( ) % ( ) STATISTICAL ANALYSIS ( ) % ( ) DATABASE MANAGEMENT ( ) % ( ) RESEARCH ( ) % ( ) SYSTEM ADMINISTRATION ----------- ( ) % ( ) SOFTWARE MAINTENANCE -------- ( ) % ( ) SOFTWARE DEVELOPMENT -------- ( ) % ( ) SOFTWARE RECONFIGURATION

Tryon, Michael D.

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


401

Drain Holes for Criticality Safety Control Guidance for the Analyst  

SciTech Connect

Drain and overflow holes are integral to the nuclear criticality safety basis of many processes and provide different functions in achieving their safety goal. In most cases, unverified engineering judgement was used to conclude that the holes were adequate to accomplish their mission. Such judgement may adequately serve some configurations but is inadequate in other applications. It was determined that the exact function of every hole for both normal and upset process conditions must be understood and clearly documented. Y-12 has embarked on an effort to document engineering analyses of drain and overflow holes. This effort is essential to demonstrating that the holes are capable performing their intended safety function. The Y-12 EUO approach is based on criticality safety function and engineering analysis. The main components of the policies regarding drain holes are: C The criticality safety requirements are written in terms of function (e.g., depth in pan filter must always be less than 5 cm). C Engineering justifications are being written to show existing drains meet required function. Sometimes, detailed analysis of inflows and outflows is required. In some other cases, physical functional tests are performed. C Drains are documented on controlled drawings to ensure configuration control. A program of periodic inspections (usually annual) is in place for each required drain.

LeTellier, m.s.; Smallwood, d.j.

1998-11-30T23:59:59.000Z

402

Semantic annotation based exploratory search for information analysts  

Science Conference Proceedings (OSTI)

The system presented in this article aims to improve information access through the use of semantic annotation utilizing a non-traditional approach. Instead of applying semantic annotations to enhance the internal information access mechanisms, we use ... Keywords: Empirical study, Exploratory search, Named entity, Semantic annotation, User interface

Jae-wook Ahn; Peter Brusilovsky; Jonathan Grady; Daqing He; Radu Florian

2010-07-01T23:59:59.000Z

403

DNA Analyst Training on Mixture Interpretation Webcast Now ...  

Science Conference Proceedings (OSTI)

... webcast to participants across the country. ... threshold affect data analysis, interpretation, conclusions ... Please note that certificates of participation ...

2013-04-29T23:59:59.000Z

404

Valuing Intel: A Strange Tale of Analysts and Announcements  

E-Print Network (OSTI)

Cash flow forecast revisions and stock price changes Ifflow forecast revisions Pre-announcement Year Stock priceforecasts, the three adjustment scenarios can be translated into implied stock price

Cornell, Bradford

2000-01-01T23:59:59.000Z

405

portfolioJan2006_final_v2.pdf  

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

Characterize Characterize problem and prioritize program actions to reduce the threat to U.S. national security from radiological materials being used in "dirty bombs." Approach Argonne is working with the DOE National Nuclear Safety Administration, NA-25, to compile information from diverse sources into a comprehensive database, analyze and model information, and communicate results. Benefits Increased understanding of radionuclide sources and their locations, theft and diversion activities, and the ability to direct resources in the International Radiological Threat Reduction program where they will be most effective. POC: Roy Lindley, lindley@anl.gov Argonne National Laboratory Analysis of Radionuclide Theft and Diversions Geospatial Science Program

406

Model documentation report: Residential sector demand module of the national energy modeling system  

SciTech Connect

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 reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

NONE

1998-01-01T23:59:59.000Z

407

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

SciTech Connect

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.

NONE

1997-12-18T23:59:59.000Z

408

Liquid Fuels Market Model (LFMM) Unveiling LFMM  

Gasoline and Diesel Fuel Update (EIA)

Implementation of the Renewable Fuel Implementation of the Renewable Fuel Standard (RFS) in the Liquid Fuels Market Module (LFMM) of NEMS Michael H. Cole, PhD, PE michael.cole@eia.gov August 1, 2012 | Washington, DC LFMM / NEMS overview 2 M. Cole, EIA Advanced Biofuels Workshop August 1, 2012 | Washington, DC * LFMM is a mathematical representation of the U.S. liquid fuels market (motor gasoline, diesel, biofuels, etc.). EIA analysts use LFMM to project motor fuel prices and production approaches through 2040. * LFMM is a cost-minimization linear program (LP). For a given set of fuel demands, LFMM will find the least-cost means of satisfying those demands, subject to various constraints (such as the RFS). * LFMM is part of the National Energy Modeling System (NEMS), which is a computer model of the U.S. energy economy. EIA uses

409

DOE Commercial Building Benchmark Models: Preprint  

SciTech Connect

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.

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

2008-07-01T23:59:59.000Z

410

Model documentation: electricity market module. [15 year forecasts  

SciTech Connect

This report documents the electricity market model. This model is a component of the Intermediate Future Forecasting System (IFFS), the energy market model used to provide projections of energy markets up to 15 years into the future. The electricity market model was developed by the Supply Analysis and Integration Branch as part of building the larger system. This report is written for an audience consisting of mathematical economists, statisticians, operations research analysts, and utility planners. This report contains an overview and a mathematical specification of the electricity market module. It includes a description of the model logic and the individual subroutines in the computer code. A companion document Intermediate Future Forecasting System: Executive Summary (DOE/EIA-430) provides an overview of the components in IFFS and their linkages. 22 figures, 2 tables.

Sanders, R.C.; Murphy, F.H.

1984-12-01T23:59:59.000Z

411

Modeling & Simulation - GCTool  

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

GCTool Computer Model Helps Focus Fuel Cell Vehicle Research Somewhere near Detroit, an automotive engineer stares at the ceiling, wondering how to squeeze 1% more efficiency out of the fuel cell reformer she's been working on. Never mind 5% more from the next component on her list. Computer software, such as Argonne's GCTool, lets designers "try out" different system configurations, without the expense and delays of actually building numerous prototypes. Our engineer could learn that she's been worrying about the wrong thing. Argonne systems analysts have shown that in fuel cell systems for vehicles, more is not always better. For example, increasing the efficiency of the fuel processor (the component that converts hydrocarbon fuel into hydrogen for the fuel cell) may actually lower the overall system efficiency. "They go in opposite directions. You can make the fuel processor more efficient, but that's because you're stealing energy from somewhere else in the system," says Argonne's Romesh Kumar, who leads Argonne's fuel cell modeling efforts.

412

Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1,000 for conference travel, including  

E-Print Network (OSTI)

Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1. The research to be presented must be nano-related. 7. The award cannot be used to subsidize conference travel: ____________________________ Department: ___________________ Years in graduate school: __________________ Years in Nano Doctoral Por

Ben-Yakar, Adela

413

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

DOE Green Energy (OSTI)

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.

Wiser, Ryan; Barbose, Galen; Holt, Edward

2010-10-01T23:59:59.000Z

414

Renewables Portfolio Standards: A Factual Introduction toExperience from the United States  

SciTech Connect

Renewables portfolio standards (RPS) have--since the late 1990s--proliferated at the state level in the United States. What began as a policy idea minted in California and first described in detail in the pages of the 'Electricity Journal' FPT has emerged as an important driver for renewable energy capacity additions in the United States. Over the years, articles in the 'Electricity Journal' have explored the RPS in more detail, identifying both its strengths and weaknesses. The present article provides an introduction to the history, concept, and design of the RPS, reviews early experience with the policy as applied at the state level, and provides a brief overview of Federal RPS proposals to date and the possible relationship between Federal and state RPS policies. Our purpose is to offer a factual introduction to the RPS, as applied and considered in the U.S. Though elements of state RPS design are summarized here, other publications provide a more thorough review of design lessons that emerge from that experience. In addition, the present article does not describe the results of economic analyses of Federal RPS proposals, though we do cite many of the analyses conducted by the U.S. DOE's Energy Information Administration (EIA).

Wiser, R.; Namovicz, C.; Gielecki, M.; Smith, R.

2007-05-09T23:59:59.000Z

415

EIA model documentation: Petroleum market model of the national energy modeling system  

Science Conference Proceedings (OSTI)

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. 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.

NONE

1995-12-28T23:59:59.000Z

416

PRISM 2.0: Regional Energy and Economic Model Development and Initial Application: Phase 2: Electric Sector CO2 Reduction Options to 2050: Dimensions of Technology, Energy Costs, and Environmental Scenarios  

Science Conference Proceedings (OSTI)

EPRI conducted an analysis of electric sector CO2 reduction options to 2050 across a range of scenarios covering dimensions of technology costs and availability, energy costs, and CO2 constraints.  Using its U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) model, EPRI calculated the impact of changes in generation portfolio, generation capacity, expenditures, and electricity prices on power sector costs. This analysis estimates different levels of ...

2013-11-06T23:59:59.000Z

417

Meeting Human Reliability Requirements through Human Factors Design, Testing, and Modeling  

SciTech Connect

In the design of novel systems, it is important for the human factors engineer to work in parallel with the human reliability analyst to arrive at the safest achievable design that meets design team safety goals and certification or regulatory requirements. This paper introduces the System Development Safety Triptych, a checklist of considerations for the interplay of human factors and human reliability through design, testing, and modeling in product development. This paper also explores three phases of safe system development, corresponding to the conception, design, and implementation of a system.

R. L. Boring

2007-06-01T23:59:59.000Z

418

The National Energy Modeling System The  

Gasoline and Diesel Fuel Update (EIA)

2000 2000 (AEO2000) are generated from the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analytical studies for the U.S. Congress and other offices within the Department of Energy. The AEO forecasts are also used by analysts and planners in other govern- ment agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the eco- nomic competition between the various energy fuels and sources. The time horizon of NEMS is the mid- term period, approximately 20 years in the future. In order to represent the regional differences

419

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

SciTech Connect

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).

NONE

1994-02-24T23:59:59.000Z

420

Material Portfolio  

City of Livermore. Community. Our Community. Discovery Center. Site Tours. LLNL Community News. ... LLC, for the Department of Energy's National Nucle ...

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


421

Semiconductor Portfolio  

... ions with resolutions of a few hundred. The power consumption is kept to a minimum by the use of permanent magnets and a novel electron gun ...

422

Environment Portfolio  

... following primary subsurface contaminant volatilization efforts via thermal approaches, such as dynamic underground steam-electrical heating. ...

423

Joint Modelling of Gas and Electricity spot prices  

E-Print Network (OSTI)

The recent liberalization of the electricity and gas markets has resulted in the growth of energy exchanges and modelling problems. In this paper, we modelize jointly gas and electricity spot prices using a mean-reverting model which fits the correlations structures for the two commodities. The dynamics are based on Ornstein processes with parameterized diffusion coefficients. Moreover, using the empirical distributions of the spot prices, we derive a class of such parameterized diffusions which captures the most salient statistical properties: stationarity, spikes and heavy-tailed distributions. The associated calibration procedure is based on standard and efficient statistical tools. We calibrate the model on French for electricity and on UK market for gas, and then simulate some trajectories which reproduce well the observed prices behavior. Finally, we illustrate the importance of the correlation structure and of the presence of spikes by measuring the risk on a power plant portfolio.

Frikha, Noufel

2009-01-01T23:59:59.000Z

424

Modeling and Simulating Blast Effects on Electric Substations  

Science Conference Proceedings (OSTI)

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.

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

2009-05-01T23:59:59.000Z

425

Short-Termed Integrated Forecasting System: 1993 Model documentation report  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the Short-Term Integrated Forecasting System (STIFS) and describe its basic properties. The Energy Information Administration (EIA) of the US Energy Department (DOE) developed the STIFS model to generate short-term (up to 8 quarters), monthly forecasts of US supplies, demands, imports exports, stocks, and prices of various forms of energy. The models that constitute STIFS generate forecasts for a wide range of possible scenarios, including the following ones done routinely on a quarterly basis: A base (mid) world oil price and medium economic growth. A low world oil price and high economic growth. A high world oil price and low economic growth. This report is written for persons who want to know how short-term energy markets forecasts are produced by EIA. The report is intended as a reference document for model analysts, users, and the public.

Not Available

1993-05-01T23:59:59.000Z

426

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

SciTech Connect

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.

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

2008-04-09T23:59:59.000Z

427

Testing of constitutive models in LAME.  

SciTech Connect

Constitutive models for computational solid mechanics codes are in LAME--the Library of Advanced Materials for Engineering. These models describe complex material behavior and are used in our finite deformation solid mechanics codes. To ensure the correct implementation of these models, regression tests have been created for constitutive models in LAME. A selection of these tests is documented here. Constitutive models are an important part of any solid mechanics code. If an analysis code is meant to provide accurate results, the constitutive models that describe the material behavior need to be implemented correctly. Ensuring the correct implementation of constitutive models is the goal of a testing procedure that is used with the Library of Advanced Materials for Engineering (LAME) (see [1] and [2]). A test suite for constitutive models can serve three purposes. First, the test problems provide the constitutive model developer a means to test the model implementation. This is an activity that is always done by any responsible constitutive model developer. Retaining the test problem in a repository where the problem can be run periodically is an excellent means of ensuring that the model continues to behave correctly. A second purpose of a test suite for constitutive models is that it gives application code developers confidence that the constitutive models work correctly. This is extremely important since any analyst that uses an application code for an engineering analysis will associate a constitutive model in LAME with the application code, not LAME. Therefore, ensuring the correct implementation of constitutive models is essential for application code teams. A third purpose of a constitutive model test suite is that it provides analysts with example problems that they can look at to understand the behavior of a specific model. Since the choice of a constitutive model, and the properties that are used in that model, have an enormous effect on the results of an analysis, providing problems that highlight the behavior of various constitutive models to the engineer can be of great benefit. LAME is currently implemented in the Sierra based solid mechanics codes Adagio [3] and Presto [4]. The constitutive models in LAME are available in both codes. Due to the nature of a transient dynamics code--e.g. Presto--it is difficult to test a constitutive model due to inertia effects that show up in the solution. Therefore the testing of constitutive models is primarily done in Adagio. All of the test problems detailed in this report are run in Adagio. It is the goal of the constitutive model test suite to provide a useful service for the constitutive model developer, application code developer and engineer that uses the application code. Due to the conflicting needs and tight time constraints on solid mechanics code development, no requirements exist for implementing test problems for constitutive models. Model developers are strongly encouraged to provide test problems and document those problems, but given the choice of having a model without a test problem or no model at all, certain requirements must be kept loose. A flexible code development environment, especially with regards to research and development in constitutive modeling, is essential to the success of such an environment. This report provides documentation of a number of tests for the constitutive models in LAME. Each section documents a separate test with a brief description of the model, the test problem and the results. This report is meant to be updated periodically as more test problems are created and put into the test suite.

Hammerand, Daniel Carl; Scherzinger, William Mark

2007-09-01T23:59:59.000Z

428

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

SciTech Connect

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.

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

2008-12-01T23:59:59.000Z

429

Modeling the technology mix  

SciTech Connect

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.

Douglas, J. [EPRI (United States)

2007-09-30T23:59:59.000Z

430

Microsoft PowerPoint - Risk_Portfolio_Manager(RPM)_overview_Under_Sec_DOE__2011_V4 Final 3-22-2011.ppt [Read-Only] [Compatibili  

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

Corporate Headquarters: Corporate Headquarters: Risk Management: Overview of 1010 Wayne Avenue, Suite 1150 Silver Spring, Maryland 20910 301.565.2988 Telephone 301.565.2995 Facsimile www.e-mcinc.com Overview of e-Gov Risk Portfolio Manager(tm) (e Gov RPM(tm)) V4 Satellite Offices: 80 M Street, S.E., Suite 715 Washington, DC 20003 13800 Coppermine Road, Suite 221 (e-Gov RPM(tm)) V4 for Under Secretary of Energy 13800 Coppermine Road, Suite 221 Herndon, Virginia 20171 e-Management - Proprietary Information March 2011 Today's Agenda 1) eGov RPM and use at DOE EM 2) Overview of the capabilities of eGov RPM(tm) 3) eGov RPM supports the Under Secretary of Energy's Program Cyber Security Plan (PCSP) Cyber Security Plan (PCSP) e-Management - Proprietary Information 2 e-Gov Risk Portfolio Manager is a multi-user, web based tool used for continuous monitoring

431

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

Science Conference Proceedings (OSTI)

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.

NONE

1998-01-01T23:59:59.000Z

432

20% Wind Energy - Diversifying Our Energy Portfolio and Addressing Climate Change (Brochure)  

SciTech Connect

This brochure describes the R&D efforts needed for wind energy to meet 20% of the U.S. electrical demand by 2030. In May 2008, DOE published its report, 20% Wind Energy by 2030, which presents an in-depth analysis of the potential for wind energy in the United States and outlines a potential scenario to boost wind electric generation from its current production of 16.8 gigawatts (GW) to 304 GW by 2030. According to the report, achieving 20% wind energy by 2030 could help address climate change by reducing electric sector carbon dioxide (CO2) emissions by 825 million metric tons (20% of the electric utility sector CO2 emissions if no new wind is installed by 2030), and it will enhance our nation's energy security by diversifying our electricity portfolio as wind energy is an indigenous energy source with stable prices not subject to fuel volatility. According to the report, increasing our nation's wind generation could also boost local rural economies and contribute to significant growth in manufacturing and the industry supply chain. Rural economies will benefit from a substantial increase in land use payments, tax benefits and the number of well-paying jobs created by the wind energy manufacturing, construction, and maintenance industries. Although the initial capital costs of implementing the 20% wind scenario would be higher than other generation sources, according to the report, wind energy offers lower ongoing energy costs than conventional generation power plants for operations, maintenance, and fuel. The 20% scenario could require an incremental investment of as little as $43 billion (net present value) more than a base-case no new wind scenario. This would represent less than 0.06 cent (6 one-hundredths of 1 cent) per kilowatt-hour of total generation by 2030, or roughly 50 cents per month per household. The report concludes that while achieving the 20% wind scenario is technically achievable, it will require enhanced transmission infrastructure, streamlined siting and permitting regimes, improved reliability and operability of wind systems, and increased U.S. wind manufacturing capacity. To meet these challenges, the DOE Wind Energy Program will continue to work with industry partners to increase wind energy system reliability and operability and improve manufacturing processes. The program also conducts research to address transmission and grid integration issues, to better understand wind resources, to mitigate siting and environmental issues, to provide information to industry stakeholders and policy makers, and to educate the future generations.

2008-05-01T23:59:59.000Z

433

20% Wind Energy - Diversifying Our Energy Portfolio and Addressing Climate Change (Brochure)  

DOE Green Energy (OSTI)

This brochure describes the R&D efforts needed for wind energy to meet 20% of the U.S. electrical demand by 2030. In May 2008, DOE published its report, 20% Wind Energy by 2030, which presents an in-depth analysis of the potential for wind energy in the United States and outlines a potential scenario to boost wind electric generation from its current production of 16.8 gigawatts (GW) to 304 GW by 2030. According to the report, achieving 20% wind energy by 2030 could help address climate change by reducing electric sector carbon dioxide (CO2) emissions by 825 million metric tons (20% of the electric utility sector CO2 emissions if no new wind is installed by 2030), and it will enhance our nation's energy security by diversifying our electricity portfolio as wind energy is an indigenous energy source with stable prices not subject to fuel volatility. According to the report, increasing our nation's wind generation could also boost local rural economies and contribute to significant growth in manufacturing and the industry supply chain. Rural economies will benefit from a substantial increase in land use payments, tax benefits and the number of well-paying jobs created by the wind energy manufacturing, construction, and maintenance industries. Although the initial capital costs of implementing the 20% wind scenario would be higher than other generation sources, according to the report, wind energy offers lower ongoing energy costs than conventional generation power plants for operations, maintenance, and fuel. The 20% scenario could require an incremental investment of as little as $43 billion (net present value) more than a base-case no new wind scenario. This would represent less than 0.06 cent (6 one-hundredths of 1 cent) per kilowatt-hour of total generation by 2030, or roughly 50 cents per month per household. The report concludes that while achieving the 20% wind scenario is technically achievable, it will require enhanced transmission infrastructure, streamlined siting and permitting regimes, improved reliability and operability of wind systems, and increased U.S. wind manufacturing capacity. To meet these challenges, the DOE Wind Energy Program will continue to work with industry partners to increase wind energy system reliability and operability and improve manufacturing processes. The program also conducts research to address transmission and grid integration issues, to better understand wind resources, to mitigate siting and environmental issues, to provide information to industry stakeholders and policy makers, and to educate the future generations.

Not Available

2008-05-01T23:59:59.000Z

434

A standardized approach to PV system performance model validation.  

DOE Green Energy (OSTI)

PV performance models are used to predict how much energy a PV system will produce at a given location and subject to prescribed weather conditions. These models are commonly used by project developers to choose between module technologies and array designs (e.g., fixed tilt vs. tracking) for a given site or to choose between different geographic locations, and are used by the financial community to establish project viability. Available models can differ significantly in their underlying mathematical formulations and assumptions and in the options available to the analyst for setting up a simulation. Some models lack complete documentation and transparency, which can result in confusion on how to properly set up, run, and document a simulation. Furthermore, the quality and associated uncertainty of the available data upon which these models rely (e.g., irradiance, module parameters, etc.) is often quite variable and frequently undefined. For these reasons, many project developers and other industry users of these simulation tools have expressed concerns related to the confidence they place in PV performance model results. To address this problem, we propose a standardized method for the validation of PV system-level performance models and a set of guidelines for setting up these models and reporting results. This paper describes the basic elements for a standardized model validation process adapted especially for PV performance models, suggests a framework to implement the process, and presents an example of its application to a number of available PV performance models.

Stein, Joshua S.; Jester, Terry (Hudson Clean Energy Partners); Posbic, Jean (BP Solar); Kimber, Adrianne (First Solar); Cameron, Christopher P.; Bourne, Benjamin (SunPower Corporation)

2010-10-01T23:59:59.000Z

435

Optimal reinsurance/investment problems for general insurance models  

E-Print Network (OSTI)

In this paper the utility optimization problem for a general insurance model is studied. The reserve process of the insurance company is described by a stochastic differential equation driven by a Brownian motion and a Poisson random measure, representing the randomness from the financial market and the insurance claims, respectively. The random safety loading and stochastic interest rates are allowed in the model so that the reserve process is non-Markovian in general. The insurance company can manage the reserves through both portfolios of the investment and a reinsurance policy to optimize a certain utility function, defined in a generic way. The main feature of the problem lies in the intrinsic constraint on the part of reinsurance policy, which is only proportional to the claim-size instead of the current level of reserve, and hence it is quite different from the optimal investment/consumption problem with constraints in finance. Necessary and sufficient conditions for both well posedness and solvability...

Liu, Yuping; 10.1214/08-AAP582

2009-01-01T23:59:59.000Z

436

Insider Models with Finite Utility in Markets with Jumps  

SciTech Connect

In this article we consider, under a Levy process model for the stock price, the utility optimization problem for an insider agent whose additional information is the final price of the stock blurred with an additional independent noise which vanishes as the final time approaches. Our main interest is establishing conditions under which the utility of the insider is finite. Mathematically, the problem entails the study of a 'progressive' enlargement of filtration with respect to random measures. We study the jump structure of the process which leads to the conclusion that in most cases the utility of the insider is finite and his optimal portfolio is bounded. This can be explained financially by the high risks involved in models with jumps.

Kohatsu-Higa, Arturo, E-mail: arturokohatsu@gmail.com [Ritsumeikan University, Department of Mathematical Sciences (Japan); Yamazato, Makoto, E-mail: yamazato@math.u-ryukyu.ac.jp [University of the Ryukyus, Department of Mathematics, Faculty of Science (Japan)

2011-10-15T23:59:59.000Z

437

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

DOE Green Energy (OSTI)

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.

Not Available

1993-06-30T23:59:59.000Z

438

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

SciTech Connect

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.

Not Available

1994-04-01T23:59:59.000Z

439

Computational Human Performance Modeling For Alarm System Design  

SciTech Connect

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.

Jacques Hugo

2012-07-01T23:59:59.000Z

440

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

Science Conference Proceedings (OSTI)

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

Dowding, Kevin J.; Rutherford, Brian Milne

2003-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "analyst model portfolios" from the National Library of EnergyBeta (NLEBeta).
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441

Modeling the residential demand for energy  

Science Conference Proceedings (OSTI)

Demand for energy is derived from the demand for services that appliances and energy together provide. This raises a number of serious econometric issues when estimating energy-demand functions: delineation of short-run and long-run household responses, specification of the price variable and in particular, the assumption that the model is recursive, or in other words, that the appliance choice equation and the energy consumption equation are uncorrelated. The dissertation utilizes a structural model of energy use whose theoretical underpinnings derive from the conditional logit model and an extension of that model to the joint-discrete/continuous case by Dubin and McFadden (1980). It uses the 1978 to 1979 National Interim Energy Comsumption Survey. Three appliance portfolio choices are analyzed; choice of water and space heating and central air-conditioning; choice of room air conditioners; and choice of clothes dryers, either as multinomial logit or binary probit choices. Results varied widely across the appliance choice considered; use of Hausman's test led to acceptance of the null hypothesis of orthogonality in some cases but not in others. Demand for electricity and natural gas tended to be price inelastic; however, estimated own-price effects differed considerably when disaggregated by appliance categories and across methods of estimation.

Kirby, S.N.

1983-01-01T23:59:59.000Z

442

Electric portfolio modeling with stochastic water - climate interactions| Implications for co-management of water and electric utilities.  

E-Print Network (OSTI)

?? Water supply constraints can significantly restrict electric power generation, and such constraints are expected to worsen with future climate change. The overarching goal of… (more)

Woldeyesus, Tibebe Argaw

2012-01-01T23:59:59.000Z

443

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

SciTech Connect

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.

Holt, Edward A.; Wiser, Ryan H.

2007-04-17T23:59:59.000Z

444

Decision-analytic framework for portfolio selection: choosing among supplemental environmental research projects proposed for the Great Plains Coal Gasification Facility  

Science Conference Proceedings (OSTI)

This report describes the development and application of a hierarchical decision-analytic framework for selecting a portfolio of research and development projects. A US Department of Energy steering committee used the framework to develop a comprehensive and defensible $12 million Supplemental Environmental Program (SEP) for the Great Plains Coal Gasification Facility. This decision problem was characterized by: (1) five technical subcommittees that proposed detailed studies addressing different environmental and health issues; (2) many combinations of proposed studies that satisfied the $12 million budgetary constraint; (3) multiple objectives that required value tradeoffs at both the committee and subcommittee levels; and (4) uncertainties about research needs, data availability, and costs. The framework for determining funding (study) priorities used the principles of decision analysis to divide the overall SEP problem into a series of smaller subproblems tailored to the specific organizational structure of the steering committee and its five subcommittees. A dynamic optimization procedure was used to compare alternative funding strategies; the strategies were ranked on the basis of their expected utility, as calculated with a multiattribute utility function. Each subcommittee chairman was directly responsible for ranking the studies proposed by his subcommittee and, on the basis of that ranking, quantifying the degree to which the proposed research plan met objectives established for the entire SEP by the steering committee chairman. The approach is applicable to similar portfolio selection problems in both the public and private sectors.

Peerenboom, J.P.; Buehring, W.A.; Joseph, T.W.

1984-09-01T23:59:59.000Z

445

Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis  

Science Conference Proceedings (OSTI)

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.

Humberto E. Garcia

2012-01-01T23:59:59.000Z

446

INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS  

SciTech Connect

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.

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

447

Integration of facility modeling capabilities for nuclear nonproliferation analysis  

SciTech Connect

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.

Garcia, Humberto [Idaho National Laboratory (INL); Burr, Tom [Los Alamos National Laboratory (LANL); Coles, Garill A [ORNL; Edmunds, Thomas A. [Lawrence Livermore National Laboratory (LLNL); Garrett, Alfred [Savannah River National Laboratory (SRNL); Gorensek, Maximilian [Savannah River National Laboratory (SRNL); Hamm, Luther [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Tzanos, Constantine P [ORNL; Ward, Richard C [ORNL

2012-01-01T23:59:59.000Z

448

Development of Probabilistic Risk Assessment Model for BWR Shutdown Modes 4 and 5 Integrated in SPAR Model  

Science Conference Proceedings (OSTI)

Nuclear plant operating experience and several studies show that the risk from shutdown operation during modes 4, 5, and 6 can be significant This paper describes development of the standard template risk evaluation models for shutdown modes 4, and 5 for commercial boiling water nuclear power plants (BWR). The shutdown probabilistic risk assessment model uses full power Nuclear Regulatory Commission’s (NRC’s) Standardized Plant Analysis Risk (SPAR) model as the starting point for development. The shutdown PRA models are integrated with their respective internal events at-power SPAR model. This is accomplished by combining the modified system fault trees from SPAR full power model with shutdown event tree logic. For human reliability analysis (HRA), the SPAR HRA (SPAR-H) method is used which requires the analysts to complete relatively straight forward worksheet, including the performance shaping factors (PSFs). The results are then used to estimate HEP of interest. The preliminary results indicate the risk is dominated by the operator’s ability to diagnose the events and provide long term cooling.

S. T. Khericha; S. Sancakter; J. Mitman; J. Wood

2010-06-01T23:59:59.000Z

449

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

E-Print Network (OSTI)

current portfolio of DSM programs (“Business-As-Usual (BAU)”) as well as alternative scenarios that include different energy efficiency and demand

Satchwell, Andrew

2013-01-01T23:59:59.000Z

450

Modeling, simulation, and analysis of grid connected dish-stirling solar power plants .  

E-Print Network (OSTI)

??The percentage of renewable energy within the global electric power generation portfolio is expected to increase rapidly over the next few decades due to increasing… (more)

Howard, Dustin F.

2010-01-01T23:59:59.000Z

451

The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios  

E-Print Network (OSTI)

Impact of a 15-Percent Renewable Portfolio Standard, EnergyAlternatives for Competitive Renewable Energy Zones inU.S. Electric Supply, National Renewable Energy Laboratory.

Nicolosi, Marco

2011-01-01T23:59:59.000Z

452

MODELING ATMOSPHERIC RELEASES OF TRITIUM FROM NUCLEAR INSTALLATIONS  

DOE Green Energy (OSTI)

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.

Okula, K

2007-01-17T23:59:59.000Z

453

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

Science Conference Proceedings (OSTI)

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.

FORSYTHE,JAMES C.; WENNER,CAREN A.

2000-04-25T23:59:59.000Z

454

An Agent-based Strategy for Deploying Analysis Models into Specification and Design for Distributed APS Systems  

E-Print Network (OSTI)

Despite the extensive use of the agent technology in the Supply Chain Management field, its integration with Advanced Planning and Scheduling (APS) tools still represents a promising field with several open research questions. Specifically, the literature falls short in providing an integrated framework to analyze, specify, design and implement simulation experiments covering the whole simulation cycle. Thus, this paper proposes an agent-based strategy to convert the 'analysis' models into 'specification' and 'design' models combining two existing methodologies proposed in the literature. The first one is a recent and unique approach dedicated to the 'analysis' of agent-based APS systems. The second one is a well-established methodological framework to 'specify' and 'design' agent-based supply chain systems. The proposed conversion strategy is original and is the first one allowing simulation analysts to integrate the whole simulation development process in the domain of distributed APS.

de Santa-Eulalia, Luis Antonio; Frayret, Jean-Marc

2011-01-01T23:59:59.000Z

455

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

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

National Renewable Energy Laboratory 15013 Denver West Parkway Golden, CO 80401 303-275-3000 * www.nrel.gov Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West Executive Summary David J. Hurlbut, Joyce McLaren, and Rachel Gelman National Renewable Energy Laboratory Prepared under Task No. AROE.2000 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Technical Report NREL/TP-6A20-57830 August 2013 Contract No. DE-AC36-08GO28308

456

Analysis of Strategies for Reducing Multiple Emissions from Electric Power Plants: Sulfur Dioxide, Nitrogen Oxides, Carbon Dioxide, and Mercury and a Renewable Portfolio Standard  

Gasoline and Diesel Fuel Update (EIA)

3 3 ERRATA Analysis of Strategies for Reducing Multiple Emissions from Electric Power Plants: Sulfur Dioxide, Nitrogen Oxides, Carbon Dioxide, and Mercury and a Renewable Portfolio Standard July 2001 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This Service Report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should be attributed to the Contacts This report was prepared by the Office of Integrated Analysis and Forecasting, Energy Information Adminis- tration. General questions concerning the report may be directed to Mary J. Hutzler (202/586-2222, mhutzler @eia.doe.gov), Director of the Office of Integrated Analysis and Forecasting, Scott B. Sitzer (202/586-2308,

457

Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West  

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

(This page intentionally left blank) (This page intentionally left blank) National Renewable Energy Laboratory 15013 Denver West Parkway Golden, CO 80401 303-275-3000 * www.nrel.gov Beyond Renewable Portfolio Standards: An Assessment of Regional Supply and Demand Conditions Affecting the Future of Renewable Energy in the West David J. Hurlbut, Joyce McLaren, and Rachel Gelman National Renewable Energy Laboratory Prepared under Task No. AROE.2000 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Technical Report NREL/TP-6A20-57830 August 2013 Contract No. DE-AC36-08GO28308

458

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

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.

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

2013-08-01T23:59:59.000Z

459

Health effects models for nuclear power plant accident consequence analysis: Low LET radiation: Part 2, Scientific bases for health effects models  

Science Conference Proceedings (OSTI)

This report provides dose-response models intended to be used in estimating the radiological health effects of nuclear power plant accidents. Models of early and continuing effects, cancers and thyroid nodules, and genetic effects are provided. Two-parameter Weibull hazard functions are recommended for estimating the risks of early and continuing health effects. Three potentially lethal early effects -- the hematopoietic, pulmonary and gastrointestinal syndromes -- are considered. Linear and linear-quadratic models are recommended for estimating cancer risks. Parameters are given for analyzing the risks of seven types of cancer in adults -- leukemia, bone, lung, breast, gastrointestinal, thyroid and ''other''. The category, ''other'' cancers, is intended to reflect the combined risks of multiple myeloma, lymphoma, and cancers of the bladder, kidney, brain, ovary, uterus and cervix. Models of childhood cancers due to in utero exposure are also provided. For most cancers, both incidence and mortality are addressed. Linear and linear-quadratic models are also recommended for assessing genetic risks. Five classes of genetic disease -- dominant, x-linked, aneuploidy, unbalanced translocation and multifactorial diseases --are considered. In addition, the impact of radiation-induced genetic damage on the incidence of peri-implantation embryo losses is discussed. The uncertainty in modeling radiological health risks is addressed by providing central, upper, and lower estimates of all model parameters. Data are provided which should enable analysts to consider the timing and severity of each type of health risk. 22 refs., 14 figs., 51 tabs.

Abrahamson, S.; Bender, M.; Book, S.; Buncher, C.; Denniston, C.; Gilbert, E.; Hahn, F.; Hertzberg, V.; Maxon, H.; Scott, B.

1989-05-01T23:59:59.000Z

460

Cause Marketing: Spillover Effects of Cause-Related Products in a Product Portfolio  

Science Conference Proceedings (OSTI)

The number of firms carrying a cause-related product has significantly increased in recent years. We consider a duopoly model of competition between firms in two products to determine which products a firm will link to a cause. We first test the behavioral ... Keywords: cause marketing, experimental economics, marketing and pricing strategy, product policy

Aradhna Krishna; Uday Rajan

2009-09-01T23:59:59.000Z

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


461

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

E-Print Network (OSTI)

dimensions [5] and high pressure and gravity die-casting [6,7]. Since the two-dimensional dam ridges. Water from the dam flows through the valley and into the sea under gravity. Immediately after-14 December 2001 Three-dimensional modelling of dam-break induced flows using Smoothed Particle Hydrodynamics

Bowles, David S.

462

The RENEWABLES PORTFOLIO STANDARD RENEWABLES PORTFOLIO STANDARD  

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

The broader goal of the RPS is to achieve various benefits associated with renewable energy. These benefits relate to the environment, resource diversity, technology advancement, and in-state...

463

Optimal Portfolio-Consumption with Habit Formation and Partial Observations: The Fully Explicit Solutions Approach  

E-Print Network (OSTI)

We consider a model of optimal investment and consumption with both habit-formation and partial observations in incomplete Ito processes markets. The individual investor develops addictive consumption habits gradually while he can only observe the market stock prices but not the instantaneous rates of return, which follow Ornstein-Uhlenbeck processes. Applying the Kalman-Bucy filtering theorem and Dynamic Programming arguments, we solve the associated HJB equation fully explicitly for this path dependent stochastic control problem in the case of power utility preferences. We will provide the optimal investment and consumption policies in explicit feedback forms using rigorous verification arguments.

Yu, Xiang

2011-01-01T23:59:59.000Z

464

The dual optimizer for the growth-optimal portfolio under transaction costs  

E-Print Network (OSTI)

We consider the maximization of the long-term growth rate in the Black-Scholes model under proportional transaction costs as in Taksar, Klass and Assaf [Math. Oper. Res. 13, 1988]. Similarly as in Kallsen and Muhle-Karbe [Ann. Appl. Probab., to appear] for optimal consumption over an infinite horizon, we tackle this problem by determining a shadow price, which is the solution of the dual problem. It can be calculated explicitly up to determining the root of a deterministic function. This in turn allows to explicitly compute fractional Taylor expansions, both for the no-trade region of the optimal strategy and for the optimal growth rate.

Gerhold, Stefan; Schachermayer, Walter

2010-01-01T23:59:59.000Z

465

2002_10_18-11_45_56,analyst,Continuation,"Need info on ...  

Science Conference Proceedings (OSTI)

... rivers caused an overproduction of tiny phytoplankton which in turn blocked the light reaching the sea grasses and algae, essential components of ...

2002-10-18T23:59:59.000Z

466

Working with Policy Makers on Their Choices: A Decision Analyst Reminisces  

Science Conference Proceedings (OSTI)

As a decision consultant and researcher, I discuss 40 years of working with policy makers on energy, environmental and foreign policy, defense, and other national issues, making heavy use of applied decision theory. I focus attention on decisions with ... Keywords: applications, decision analysis, government, infrastructure decisions, public policy

Rex V. Brown

2009-03-01T23:59:59.000Z

467

The tobacco industry's use of Wall Street analysts in shaping policy  

E-Print Network (OSTI)

prices would bankrupt industry. Washington Times, 27 AprilSettlement with the Tobacco Industry: National AssociationScience for hire: a tobacco industry strategy to influence

Alamar, B C; Glantz, Stanton A. Ph.D.

2004-01-01T23:59:59.000Z

468

Compiled by the Wisconsin Legislative Reference Bureau Prepared by Ryan Miller, Legislative Analyst  

E-Print Network (OSTI)

The Wisconsin Scorecard is a compendium of 50-state rankings spotlighting Wisconsin as it compares to other states. It is intended to be a handy reference guide for

How Wisconsin; Other States; How Wisconsin; Compares Other States; Layout Lynn Lemanski; Senior Publications; Cover Design; Kathleen Sitter; Senior Publications

2011-01-01T23:59:59.000Z

469

A Review of the Costs of Nuclear Power Michael T. Hogue, Research Analyst  

E-Print Network (OSTI)

long-term option for the future of the College's Reactor. 10. The College runs a small CONSORT nuclear reactor at Silwood Park. Ultimate responsibility for funding its end of life decommissioning currently of the liability, or postponing decommissioning by extending the life of the Reactor. The Paper proposed a method

Provancher, William

470

Over the past five years, analysts and policymakers have become increasingly interested in the "full  

E-Print Network (OSTI)

analysis to argue that motor vehicles and gasoline are terrifi- cally underpriced, while others have used it is wise to tax gasoline or encourage alternative modes of travel. A social cost analysis can provide cost in the "full social cost" of motor vehicle use. Not surprisingly, there is little agreement about how

Murphy, James J.

471

How Do We Trace Requirements? An Initial Study of Analyst Behavior in Trace Validation Tasks  

E-Print Network (OSTI)

above suggest that looking at the logs side-by-side may reveal some common trends. Log analysis revealed

Dekhtyar, Alexander

472

Understanding the system in risk assessment  

Science Conference Proceedings (OSTI)

In the assessment of a system, understanding the system is central. Even so, most of the current literature takes a narrow view of understanding, making only the catalog of system ``assets`` explicit, while maintaining the balance of the analyst`s understanding inside the analyst`s head. This can lead to problems with non-repeatability and incompleteness of assessment results. This paper introduces the notion of using explicit system models to document the analyst`s understanding of the system and shows that, from these models, standard assessment products, such as fault trees and event trees, can be automatically derived. This paper also presents five ``views`` of a system that can be used to document the analyst`s understanding of the system. These views go well beyond the standard instruction to identify the system`s assets to show that a much richer understanding of the system can be required for effective assessment.

Craft, R.; Vandewart, R.; Wyss, G.; Funkhouser, D.

1998-02-01T23:59:59.000Z

473

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

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

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

474

Development of Simplified Probabilistic Risk Assessment Model for Seismic Initiating Event  

Science Conference Proceedings (OSTI)

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).

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

2012-06-01T23:59:59.000Z

475

Statistical analysis of what drives industrial energy demand: Volume III of the PURHAPS model documentation  

Science Conference Proceedings (OSTI)

The overall price of energy has far less direct effect on industrial demand than conventional models, such as the Jorgenson translog model, have indicated. Much of what appears to be conservation in recent years can be explained as the result of structural changes (e.g., less steel production), electrification, and a slowdown in the long-term trend towards more use of energy relative to other factors of production. This report documents these findings and the other findings from the statistical analysis used in developing the PURchased Heat And Power System, as used in producing the 1982 Annual Energy Outlook forecasts. This report is intended partly to convey these findings to substantive energy experts and energy policy analysts; it is also intended to fulfill EIA requirements for model documentation. Volume I of this series documents the full mathematical specification of the model, including accounting identites and benchmarks; Volume II documents the data used both in the estimation and in the model. Appendix B of this report provides a purely historical breakdown of actual changes in oil and electricity use from 1974 to 1981, showing what changes are due to general economic growth, improved general productivity, etc. preliminary work for the 1983 Annual Energy Outlook is discussed in general terms.

Werbos, P.J.

1983-12-01T23:59:59.000Z

476

Validated modeling of distributed energy resources at distribution voltages : LDRD project 38672.  

SciTech Connect

A significant barrier to the deployment of distributed energy resources (DER) onto the power grid is uncertainty on the part of utility engineers regarding impacts of DER on their distribution systems. Because of the many possible combinations of DER and local power system characteristics, these impacts can most effectively be studied by computer simulation. The goal of this LDRD project was to develop and experimentally validate models of transient and steady state source behavior for incorporation into utility distribution analysis tools. Development of these models had not been prioritized either by the distributed-generation industry or by the inverter industry. A functioning model of a selected inverter-based DER was developed in collaboration with both the manufacturer and industrial power systems analysts. The model was written in the PSCAD simulation language, a variant of the ElectroMagnetic Transients Program (EMTP), a code that is widely used and accepted by utilities. A stakeholder team was formed and a methodology was established to address the problem. A list of detailed DER/utility interaction concerns was developed and prioritized. The list indicated that the scope of the problem significantly exceeded resources available for this LDRD project. As this work progresses under separate funding, the model will be refined and experimentally validated. It will then be incorporated in utility distribution analysis tools and used to study a variety of DER issues. The key next step will be design of the validation experiments.

Ralph, Mark E.; Ginn, Jerry W.

2004-03-01T23:59:59.000Z

477

Micro Ion Source Program NA22 Plutonium Detection Portfolio Final Report  

Science Conference Proceedings (OSTI)

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.

James E. Delmore

2010-09-01T23:59:59.000Z

478

Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection  

SciTech Connect

Model specification remains challenging in spectroscopy of plant biochemistry, as exemplified by the availability of various spectral indices or band combinations for estimating the same biochemical. This lack of consensus in model choice across applications argues for a paradigm shift in hyperspectral methods to address model uncertainty and misspecification. We demonstrated one such method using Bayesian model averaging (BMA), which performs variable/band selection and quantifies the relative merits of many candidate models to synthesize a weighted average model with improved predictive performances. The utility of BMA was examined using a portfolio of 27 foliage spectral–chemical datasets representing over 80 species across the globe to estimate multiple biochemical properties, including nitrogen, hydrogen, carbon, cellulose, lignin, chlorophyll (a or b), carotenoid, polar and nonpolar extractives, leaf mass per area, and equivalent water thickness. We also compared BMA with partial least squares (PLS) and stepwise multiple regression (SMR). Results showed that all the biochemicals except carotenoid were accurately estimated from hyerspectral data with R2 values > 0.80.

Zhao, Kaiguang; Valle, Denis; Popescu, Sorin; Zhang, Xuesong; Malick, Bani

2013-05-15T23:59:59.000Z

479

Industry Recommendations: Characteristics, Investment Value, and Relation to Firm Recommendations *  

E-Print Network (OSTI)

We study analysts ’ industry recommendations. We find that the distribution of industry recommendations is quite balanced. Analysts show more optimism towards industries with high levels of R&D, past profitability and past returns, as well as industries in which they are active as underwriters. Industry recommendations possess investment value as portfolios based on these recommendations generate abnormal returns. Finally, industry recommendations contain information which is orthogonal to that included in firm recommendations. Analysts benchmark their firm recommendations to industry peers regardless of their disclosures. Consequently, the investment value of analysts’ recommendations is enhanced when both industry and firm recommendations are used. An earlier version of this paper was circulated under the title “Do Industry Recommendations Have

Ohad Kadan; Leonardo Madureira; Rong Wang; Tzachi Zach; Reuven Lehavy; Roni Michaely; Brian Richter; Ajai Singh; Brett Trueman; Seminar Participants

2009-01-01T23:59:59.000Z

480

Risk analysis of nuclear safeguards regulations. [Aggregated Systems Model (ASM)  

Science Conference Proceedings (OSTI)

The Aggregated Systems Model (ASM), a probabilisitic risk analysis tool for nuclear safeguards, was applied to determine benefits and costs of proposed amendments to NRC regulations governing nuclear material control and accounting systems. The objective of the amendments was to improve the ability to detect insiders attempting to steal large quantities of special nuclear material (SNM). Insider threats range from likely events with minor consequences to unlikely events with catastrophic consequences. Moreover, establishing safeguards regulations is complicated by uncertainties in threats, safeguards performance, and consequences, and by the subjective judgments and difficult trade-offs between risks and safeguards costs. The ASM systematically incorporates these factors in a comprehensive, analytical framework. The ASM was used to evaluate the effectiveness of current safeguards and to quantify the risk of SNM theft. Various modifications designed to meet the objectives of the proposed amendments to reduce that risk were analyzed. Safeguards effectiveness was judged in terms of the probability of detecting and preventing theft, the expected time to detection, and the expected quantity of SNM diverted in a year. Data were gathered in tours and interviews at NRC-licensed facilities. The assessment at each facility was begun by carefully selecting scenarios representing the range of potential insider threats. A team of analysts and facility managers assigned probabilities for detection and prevention events in each scenario. Using the ASM we computed the measures of system effectiveness and identified cost-effective safeguards modifications that met the objectives of the proposed amendments.

Al-Ayat, R.A.; Altman, W.D.; Judd, B.R.

1982-06-01T23:59:59.000Z

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


481

Integration of facility modeling capabilities for nuclear nonproliferation analysis  

Science Conference Proceedings (OSTI)

Developing automated methods for data collection and analysis that can facilitate nuclearnonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facilitymodeling 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 facilitymodeling 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 facilitymodelingcapabilities and illustrates how they could be integrated and utilized for nonproliferationanalysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facilitymodeling tools. After considering a representative sampling of key facilitymodelingcapabilities, the proposed integration framework is illustrated with several examples.

Burr, Tom [Los Alamos National Laboratory (LANL); Gorensek, M. B. [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Ward, Richard C [ORNL

2012-01-01T23:59:59.000Z

482

Summary of Recommendations: Legislative and Regulatory Actions to Consider for Ensuring the Long-Term Effectiveness of the Nevada Renewable Portfolio Standard  

DOE Green Energy (OSTI)

In 2001, the Nevada Legislature passed an aggressive renewable portfolio standard (Nevada RPS) that called for 5% of each major utility's resource mix to come from eligible renewable energy by 2003, rising by 2% every two years to 15% by 2013. Of the RPS standard, 5% per year must come from solar energy. The early performance of the Nevada RPS is generally considered to be disappointing. So far, only a small quantity of electricity state wide has been generated by new renewable energy systems. The utilities and many other stakeholders appear to agree that the utilities, which were unable to fully comply with the RPS in 2003, will continue to have difficulty complying in 2004 and 2005, and perhaps beyond. To date, there have been several efforts to improve compliance with the RPS (such as California and New Mexico). Other states in the region are also motivated to develop their renewable resources, and some have adopted RPS policies. A workshop as held on November 4, 2004 in Reno in order to address additional measures available to strengthen the Nevada RPS, and to consider the implications and potential interaction with RPS policies in nearby states. The purpose of this report is to identify and summarize the top policy priorities, from among those identified and discussed at the November 4, 2004 Reno Workshop, to be considered by the Nevada Renewable Energy and Energy Efficiency Task Force for implementation.

Porter, Kevin; Grace, Robert; Wiser, Ryan

2004-10-29T23:59:59.000Z

483

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

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.

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

484

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

Science Conference Proceedings (OSTI)

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.

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

2006-09-01T23:59:59.000Z

485

Modeling Risks in Infrastructure Asset Management  

E-Print Network (OSTI)

The goal of this dissertation research is to model risk in delivery, operation and maintenance phases of infrastructure asset management. More specifically, the two main objectives of this research are to quantify and measure financial risk 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 in which a risk-averse decision-maker seeks to maximize the expected return subject to downside risk. We show that, in complete markets, the value obtained from this approach is equal to the value obtained from the standard option pricing approach. Furthermore, we introduce Coherent Valuation Procedure (CVP) for valuing risky projects in partially complete markets. This approach leads to a lower degree of subjectivity as it only requires one parameter to incorporate user's risk preferences. Compared to the traditional discounted cash flow analysis, CVP displays a reasonable degree of sensitivity to the discount rate since only the risk-free rate is used to discount future cash flows. The application of this procedure on valuing a transportation public-private partnership is presented. %and demonstrate that the breakeven buying price of a risky project is equal to the value obtained from this valuation procedure. Secondly, a risk-based framework for prescribing optimal risk-based maintenance and rehabilitation (M&R) policies for transportation infrastructure is presented. These policies guarantee a certain performance level across the network under a predefined level of risk. The long-term model is formulated in the Markov Decision Process framework with risk-averse actions and transitional probabilities describing the uncertainty in the deterioration process. Conditional Value at Risk (CVaR) is used as the measure of risk. The steady-state risk-averse M&R policies are modeled assuming no budget restriction. To address the short-term resource allocation problem, two linear programming models are presented to generate network-level polices with different objectives. In the first model, decision-maker minimizes the total risk across the network, and in the second model, the highest risk to the network performance is minimized.

Seyedolshohadaie, Seyed Reza

2011-08-01T23:59:59.000Z

486

Comparison of Idealized and Real-World City Station Citing Models for Hydrogen Distribution  

E-Print Network (OSTI)

integration team for the National Hydrogen Roadmap in 2002.in the H2A, a group of hydrogen analysts convened by theframework for analyzing hydrogen systems, and serves on the

Yang, Christopher; Nicholas, Michael A; Ogden, Joan M

2006-01-01T23:59:59.000Z

487