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


1

A Model of Optimal Portfolio Selection under Liquidity Risk and Price Impact  

E-Print Network (OSTI)

A Model of Optimal Portfolio Selection under Liquidity Risk and Price Impact Vathana LY VATH risky asset subject to liquidity risk and price impact. In this market, an investor may transfer funds between the two assets at any discrete time. Each purchase or sale policy decision affects the price

Paris-Sud XI, Université de

2

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

E-Print Network (OSTI)

Mar 13, 2008 ... investor minimizes his worst case risk under distributional ambiguity. ...... axiomatic approach to defining a acceptable properties of risk ...

3

RISK MANAGEMENT IN REAL OPTIONS BASED PHARMACEUTICAL PORTFOLIO PLANNING  

E-Print Network (OSTI)

: 814-863-9958. Fax: 814-865-7846. In the pharmaceutical industry, the optimal management of the newRISK MANAGEMENT IN REAL OPTIONS BASED PHARMACEUTICAL PORTFOLIO PLANNING Michael J. Rogers, Anshuman incorporate a Monte Carlo simulation procedure to a stochastic optimization model (OptFolio) of pharmaceutical

Maranas, Costas

4

Signed graphs for portfolio analysis in risk management  

Science Journals Connector (OSTI)

......IMA Journal of Management Mathematics (2002...analysis in risk management FRANK HARARY + Computer Science Department, New...portfolio from a risk management perspective can be...manage risk. One approach to contain risk is......

Frank Harary; Meng-Hiot Lim; Donald C. Wunsch

2002-07-01T23:59:59.000Z

5

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

E-Print Network (OSTI)

theoretical model is developed based on the default theory with several assumptions to simplify the model. An annual default model is specified using FDIC state level data over the 1985 to 2003. Five state models covering Iowa, Illinois, Indiana, Kansas...

Kim, Juno

2005-08-29T23:59:59.000Z

6

Worst-Case Value-at-Risk of Non-Linear Portfolios  

E-Print Network (OSTI)

Jun 21, 2012 ... Portfolio optimization problems involving Value-at-Risk (VaR) are .... high portfolio return, whilst keeping the associated risk at an acceptable ...

2012-06-21T23:59:59.000Z

7

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

E-Print Network (OSTI)

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

Eichhorn, Andreas

8

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

E-Print Network (OSTI)

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

Ding, Liyuan 1988-

2012-12-11T23:59:59.000Z

9

Marginalization and aggregation of exponential smoothing models in forecasting portfolio volatility  

Science Journals Connector (OSTI)

This paper examines exponentially weighted moving average models for predicting volatility and assessing risk in portfolios. It proposes a method that identifies the decay factors of the marginal volatility mo...

Giacomo Sbrana; Andrea Silvestrini

2012-01-01T23:59:59.000Z

10

The efficient frontier for a portfolio that includes one risk-free asset  

Science Journals Connector (OSTI)

This paper presents a description of the efficient frontier of a portfolio composed by three assets, including a risk-free asset. We use a data analysis method to obtain two classes of assets and then we estimate the risk of each asset corresponding ... Keywords: efficient frontier, optimization, portfolio selection, principal component analysis, risk estimation

Florentin Serban; Maria Viorica Stefanescu; Silvia Dedu

2011-07-01T23:59:59.000Z

11

International portfolio choice and political instability risk: A multi-objective approach  

Science Journals Connector (OSTI)

Abstract The benefits derived from international portfolio diversification into foreign nations (including the less developed countries) are well documented, yet this practice is discouraged due to market imperfections such as political instability. In practice, nations may be differentiated further by many aspects, such as border controls or political and social trends, which constrain private transactions and financial decisions. This paper attempts to examine (1) whether the home asset bias in a portfolio holding is associated with higher political instability risk, and (2) to what extent international diversification among stocks, in the presence of such risk, outperforms domestic stock portfolios. Using alternative instability risk proxies in the context of a discrete-time version of mean–variance framework, we corroborate the impact of this type of risk on international portfolio investment decisions.

K. Smimou

2014-01-01T23:59:59.000Z

12

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

13

Modeling Generator Power Plant Portfolios and Pollution Taxes in  

E-Print Network (OSTI)

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

Nagurney, Anna

14

Introduction Modelling in finance Risk measures Pricing via risk measures Option Pricing and Hedging via Risk Measures  

E-Print Network (OSTI)

, then the risk is acceptable. When positive, (X) is the minimum extra cash the agent has to add to her portfolio X to make the risk acceptable. Ove G¨ottsche University of Twente Option Pricing and Hedging viaIntroduction Modelling in finance Risk measures Pricing via risk measures Option Pricing

Al Hanbali, Ahmad

15

Portfolio Safeguard Case Studies  

Science Journals Connector (OSTI)

This case study designs a portfolio of credit default swaps (CDS) and credit indices to hedge against changes in a collateralized debt obligation (CDO) book. The hedging problem is to minimize risk of portfolio l...

Michael Zabarankin; Stan Uryasev

2014-01-01T23:59:59.000Z

16

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

E-Print Network (OSTI)

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

Dahmus, Jeffrey B.

17

A multiple objective decision making model for energy generation portfolio under fuzzy uncertainty: Case study of large scale investor-owned utilities in Florida  

Science Journals Connector (OSTI)

Abstract The objective of this paper is to present a methodology to evaluate the viability of developing solar photovoltaic projects for large investor-owned utilities. By taking into account the trade-off between the cost per kWh of electricity generation and total risk for an investor-owned utility, a multi-objective model of the energy generation portfolios is developed. The decision making model can determine the proportion of different energy generation sources in an investor-owned utility portfolio that reduces risk while providing the lowest cost per kWh of electricity generation possible. In order to measure the risk of the investor-owned utility for energy portfolio selection, an investigation of possible dangers and failures of energy generation portfolios is made and 9 main failure modes are identified. The failure mode and effects analysis is employed to calculate the risk priority numbers for each risk. To deal with the uncertainties of the levelized cost of electricity and risk levels of failure modes, the fuzzy method is introduced and an equivalent crisp model is derived which is then solved by employing a multiple objective particle swarm optimization algorithm. The analysis for four large scale investor-owned utilities in Florida is presented to highlight the performance of the developed optimization method.

Ziqiang Zeng; Ehsan Nasri; Abdol Chini; Robert Ries; Jiuping Xu

2015-01-01T23:59:59.000Z

18

The CouncilThe Council''s Regionals Regional Portfolio ModelPortfolio Model  

E-Print Network (OSTI)

.00 1,000.00 1,250.00 1,500.00 1,750.00 2,000.00 Wind_Capacity 0.00 100.00 1,500.00 2,400.00 4,400.00 5 and permitting costs Construction materials cost Mothball and cancellation costs Operation Risk Fuel, maintenance, such as for turbines or boilers, that mark decision points. CashexpendituresCashexpenditures 18 months18 months 9

19

Complexity cost quantification and modeling for strategic portfolio management  

E-Print Network (OSTI)

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

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

2014-01-01T23:59:59.000Z

20

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

E-Print Network (OSTI)

A Micro-foundations Model of Dollarization with Network Externalities and Portfolio Choice 1: In°ation and Dollarization: Bolivia A Micro-foundations Model of Dollarization with Network of hysteresis claim that there are network externalities in transactions. They imply that agents may continue

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Efficient Cardinality/Mean-Variance Portfolios  

E-Print Network (OSTI)

Mar 2, 2012 ... portfolio selection have been investigated to render it more realistic. Recently .... Some basic material about ... 2 Portfolio selection models.

2012-03-02T23:59:59.000Z

22

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

E-Print Network (OSTI)

. Therefore, in this sense, we explore Roy’s SF criterion and apply the extreme theory to the historical data. We demonstrate how such portfolios would perform during the Asian Crisis, IT Bubble Bust and the Financial Crisis separately. We also compare the SF...

Zhou, Ying

2012-02-14T23:59:59.000Z

23

ACHIEVING CALIFORNIA'S 33 PERCENT RENEWABLE PORTFOLIO  

E-Print Network (OSTI)

. To remedy this limitation, the report presents a new feed-in tariff approach that is modelled on successful as the basis for feed-in tariff rates that do not achieve the renewable goal, or do so at a higher cost than and risks because of their diversification effects. KEYWORDS Feed-in tariffs, portfolio analysis, generation

24

Enterprise Risk Management Model  

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

Model The Enterprise Risk Management (ERM) Model is a system used to analyze the cost and benefit of addressing risks inherent in the work performed by the Department of Energy....

25

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

SciTech Connect

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

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

2014-08-01T23:59:59.000Z

26

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

27

Developing a framework for energy technology portfolio selection  

Science Journals Connector (OSTI)

Today the increased consumption of energy in world in addition to the risk of quick exhaustion of fossil resources has forced industrial firms and organizations to utilize energy technology portfolio management tools viewed both as a process of diversification of energy sources and optimal use of available energy sources. Furthermore the rapid development of technologies their increasing complexity and variety and market dynamics have made the task of technology portfolio selection difficult. Considering high level of competitiveness organizations need to strategically allocate their limited resources to the best subset of possible candidates. This paper presents the results of developing a mathematical model for energy technology portfolio selection at a R&D center maximizing support of the organization's strategy and values. The model balances the cost and benefit of the entire portfolio.

Hamid Davoudpour; Maryam Ashrafi

2012-01-01T23:59:59.000Z

28

Allocation of Economic Capital in loan portfolios  

Science Journals Connector (OSTI)

Since the seminal of Markowitz (1952) and Sharpe (1964) capital allocation within portfolios is based on the variance/covariance analysis. Even the introduction of Value-at-Risk in order to measure risk more a...

Ludger Overbeck

2000-01-01T23:59:59.000Z

29

A MILP model for optimising multi-service portfolios of distributed energy storage  

Science Journals Connector (OSTI)

Abstract Energy storage has the potential to provide multiple services to several sectors in electricity industry and thus support activities related to generation, network and system operation. Hence aggregating the value delivered by storage to these sectors is paramount for promoting its efficient deployment in the near future, which will provide the level of flexibility needed to deal with the envisaged high renewables share and the increase in peak demand driven by transport and heating electrification. In this context, we develop a Mixed Integer Linear Programming (MILP) model to schedule operation of distributed storage by coordinating provision of a range of system services which are rewarded at different market prices. The model maximises distributed storage’s net profit while providing distribution network congestion management, energy price arbitrage and various reserve and frequency regulation services through both active and reactive power control. We demonstrate benefits associated with the coordination of these services and its impacts on commercial strategies to determine optimal multi-service portfolios in the long term. We also demonstrate the value of reactive power control to support not only distribution network congestion management, but also efficient trading of energy and balancing services which are usually treated through active power-only control. In addition, we use the model to price the service of distribution network congestion management and propose an efficient investment policy to upgrade distribution network capacity in the presence of distributed storage. Finally, several case studies under current market conditions in Great Britain (GB) demonstrate that distributed storage revenues associated with frequency control services are significantly more profitable.

Rodrigo Moreno; Roberto Moreira; Goran Strbac

2014-01-01T23:59:59.000Z

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

Robust Growth-Optimal Portfolios  

E-Print Network (OSTI)

May 24, 2014 ... Adopting standard terminology, we refer to the portfolio managed under the Kelly strategy as the growth-optimal portfolio. This portfolio displays ...

2014-05-24T23:59:59.000Z

32

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

E-Print Network (OSTI)

loan portfolio to Self-Help Credit Union Peter Thompson,risk of losses to Self-Help, the purchaser of the portfolio.Northwest. www.craft3.org Self-Help is a member-owned, North

Thompson, Peter

2014-01-01T23:59:59.000Z

33

THE KELLY PORTFOLIO RULE DOMINATES CISEM BEKTUR  

E-Print Network (OSTI)

THE KELLY PORTFOLIO RULE DOMINATES C¸ISEM BEKTUR Abstract. We study an evolutionary market model sufficient conditions for the Kelly portfolio rule to dominate the market expo- nentially fast. 1 sums of expected utilities are maximised by agents. They generalised the pioneering work of Kelly [18

34

Portfolio Manager Overview Presentation  

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

This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on the Portfolio Manager Overview

35

Gasification Systems Project Portfolio  

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

2014 Gasification Systems Project Portfolio News Gasifipedia Gasifier Optimization Feed Systems Syngas Processing Systems Analyses Gasification Plant Databases International...

36

MARKETING PORTFOLIO TESTIMONIAL*  

E-Print Network (OSTI)

MARKETING PORTFOLIO TESTIMONIAL* As a Business Marketing student at California State University Fullerton, I was required to submit a portfolio containing several marketing projects from my college career to spend some time in creating a portfolio that highlighted my marketing projects from various classes

de Lijser, Peter

37

Optimization Online - Multilevel Optimization Modeling for Risk ...  

E-Print Network (OSTI)

Abstract: Coherent risk measures have become a popular tool for incorporating risk aversion into stochastic optimization models. For dynamic models in which ...

Jonathan Eckstein

38

Current Research Portfolio  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Energy Efficiency Emerging Technologies Current Research Portfolio Behavior Based...

39

COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO  

E-Print Network (OSTI)

, certificates, certification, conduit hydroelectric, digester gas, electrolysis, eligibility, fuel cell, renewable energy credits, Renewables Portfolio Standard, repowered, retail sales, small hydroelectric, Self

40

COMMISSION GUIDEBOOK RENEWABLES PORTFOLIO  

E-Print Network (OSTI)

, conduit hydroelectric, digester gas, electrolysis, eligibility, fuel cell, gasification, geothermal, Renewables Portfolio Standard, repowered, retail sales, small hydroelectric, SelfGeneration Incentive

Note: This page contains sample records for the topic "modeling portfolio risk" 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

The Enterprise Risk Management Model  

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

needed Cost Effective Risk Management *What is the most effective method for bringing risk down to an acceptable level? *Are the controls most expensive than the risk? 6 Risk...

42

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

E-Print Network (OSTI)

MARKETING PORTFOLIO DIRECTIONS AUDIENCE Please keep in mind that your audience for the portfolio are to include 3 executive summaries of academic (from any marketing course completed), work it as an exemplar model when undertaking projects for your future employers. CONTENT A complete Marketing Portfolio

de Lijser, Peter

43

Marketing Portfolio Jorge Sotelo  

E-Print Network (OSTI)

Marketing Portfolio Jorge Sotelo Month/Date/Year #12;2 Table of Contents Cover Letter........................................................................................................................................................4 Executive Summaries Strategic Marketing (MLS Soccer) .......................................................................................................5 Marketing Information Systems (US Men's Soccer National Team

de Lijser, Peter

44

Marketing Portfolio Bryan Huang  

E-Print Network (OSTI)

Marketing Portfolio Bryan Huang Month/Day/Year #12;2 Table of Contents Cover Letter ........................................................................................................................................................4 Executive Summaries Strategic Marketing (The REMM Group) ............................................................................................5 Services Marketing (Orange County Parks

de Lijser, Peter

45

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...

Seyedolshohadaie, Seyed Reza

2012-10-19T23:59:59.000Z

46

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

E-Print Network (OSTI)

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

Jiménez Montesinos, Jorge Alberto

2014-01-01T23:59:59.000Z

47

Quadrennial Technology Review Workshop Portfolios | Department...  

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

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

48

ENERGY STAR Portfolio Manager 101  

Office of Energy Efficiency and Renewable Energy (EERE)

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

49

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]

50

Student Name: ____________________________ Portfolio Review 2009  

E-Print Network (OSTI)

, guidelines are provided for evaluation: A: An ability to apply knowledge of mathematics, science, and engineering 1. Portfolio shows no work using mathematics or science. 2. Portfolio shows work using mathematics or science at the pre-UC level. 3. Portfolio shows some work using early college-level mathematics

California at Santa Cruz, University of

51

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

52

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

SciTech Connect

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

53

DSM CONTINUES PORTFOLIO SHIFT  

Science Journals Connector (OSTI)

DSM CONTINUES PORTFOLIO SHIFT ... THE DUTCH specialty chemicals company DSM closed out 2010 with two transactions intended to sharpen its focus on the life and materials sciences. ... The announcements came just days after DSM signed an agreement to sell its elastomers business to Lanxess. ...

MICHAEL MCCOY

2011-01-03T23:59:59.000Z

54

Human Genetics Portfolio Review  

E-Print Network (OSTI)

in providing the assessments of the Wellcome Trust's role in supporting human genetics and have informed `our to maximise the health benefits of research into the human genome remains a core component of the WellcomeHuman Genetics 1990­2009 June 2010 Portfolio Review #12;The Wellcome Trust is a charity registered

Rambaut, Andrew

55

Essays on Incorporating Risk Modeling Techniques in Agriculture  

E-Print Network (OSTI)

foundation for expanding the standard single period portfolio optimization problem to multi-periods. This modeling technique also provides a framework to analyze other farm financial decisions, farm growth decisions, and even could be applied to loan... and return on assets when compared to industrially diversified firms. Results from previous studies in non-agriculture sectors suggest there are possible gains from geographic diversification. 11 Within an agricultural setting, results of studies...

Larsen, Ryan A.

2012-10-19T23:59:59.000Z

56

Portfolio Manager Space Type Discussion  

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

This presentation, given through the DOE's Technical Assitance Program (TAP), provides a discussion about space/type in regards to the Portfolio Manager Initiative.

57

Staff Draft GUIDEBOOK RENEWABLES PORTFOLIO  

E-Print Network (OSTI)

, certification, conduit hydroelectric, digester gas, electrolysis, eligibility, fuel cell, gasification, renewable energy credits, Renewables Portfolio Standard, repowered, retail sales, small hydroelectric, Self

58

Grand Challenge Portfolio: Driving Innovations in Industrial...  

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

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011 Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January...

59

Small Buildings Small Portfolio Commercial Upstream Incentive...  

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

Small Portfolio Commercial Upstream Incentive Project: Regional Roll-Out - 2014 BTO Peer Review Small Buildings Small Portfolio Commercial Upstream Incentive Project:...

60

Need for an Integrated Risk Model  

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

Need for An Integrated Risk Need for An Integrated Risk Model Michael Salmon, LANL Voice: 505-665-7244 Fax: 505-665-2897 salmon@lanl.gov 10/22/2008 p. 2, LA-UR 11-06023 Purpose * To highlight some observations on safety strategy when concerned with NPH * To encourage discussion and collaboration on the use of an integrated risk model at sites * To propose a test case for use of a sample case 10/22/2008 p. 3, LA-UR 11-06023 Observations * SAFER Comments of Peer Reviewers - There is a need to consider operator interaction - What about fire following earthquake? - What about flood following earthquake? - lessons from kashiwazake * Sites do not consider common cause initiating events * Investment decisions are not based on quantitative estimates of risk reduction 10/22/2008 p. 4, LA-UR 11-06023

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

62

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

63

Robust Efficient Frontier Analysis with a Separable Uncertainty Model  

E-Print Network (OSTI)

The choice of a portfolio involves a trade-off between risk and return [48]. ... the portfolio that maximizes the expected return subject to a maximum acceptable.

2007-11-29T23:59:59.000Z

64

Household portfolios in Japan  

Science Journals Connector (OSTI)

I provide a detailed description and in-depth analysis of household portfolios in Japan. (1) It is shown that the share of equities in financial wealth and the stock market participation of Japanese households decreased throughout the 1990s. (2) Using survey data, age-related variations in the share of stocks in financial wealth are analyzed. The equity share and stock market participation increase with age among young households, peaking when people reach their 50s, and then stabilizing. However, the share of equities conditional on ownership exhibits no significant age-related pattern, implying that age-related patterns are primarily explained by the decision to hold stocks. A similar mechanism operates to that found in previous studies of Western countries. (3) Owner-occupied housing has a significantly positive effect on stock market participation and on the share of stocks in financial wealth.

Tokuo Iwaisako

2009-01-01T23:59:59.000Z

65

Renewables Portfolio Standard Procurement Plan  

E-Print Network (OSTI)

Renewables Portfolio Standard Procurement Plan November 2013 Roseville Electric 2090 Hilltop Circle Council will deliberate in public on the RPS Procurement Plan. Information distributed to the City Council regarding Roseville's renewable energy resources procurement status and future plans for consideration

66

STAFF DRAFT GUIDEBOOK RENEWABLES PORTFOLIO  

E-Print Network (OSTI)

, certificates, certification, common carrier pipeline, conduit hydroelectric, digester gas, electrolysis, eligibility, energy storage, fuel cell, gasification, geothermal, hydroelectric, hydrogen, incremental, renewable energy credits, Renewables Portfolio Standard, repowered, retail sales, small hydroelectric, Self

67

ENERGY STAR Portfolio Manager 201  

Office of Energy Efficiency and Renewable Energy (EERE)

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

68

Resource portfolio management: bundling process  

E-Print Network (OSTI)

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

Worthington, William John

2009-05-15T23:59:59.000Z

69

NGNP Risk Management Database: A Model for Managing Risk  

SciTech Connect

To facilitate the implementation of the Risk Management Plan, the Next Generation Nuclear Plant (NGNP) Project has developed and employed an analytical software tool called the NGNP Risk Management System (RMS). A relational database developed in Microsoft® Access, the RMS provides conventional database utility including data maintenance, archiving, configuration control, and query ability. Additionally, the tool’s design provides a number of unique capabilities specifically designed to facilitate the development and execution of activities outlined in the Risk Management Plan. Specifically, the RMS provides the capability to establish the risk baseline, document and analyze the risk reduction plan, track the current risk reduction status, organize risks by reference configuration system, subsystem, and component (SSC) and Area, and increase the level of NGNP decision making.

John Collins

2009-09-01T23:59:59.000Z

70

A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems  

E-Print Network (OSTI)

was developed by Harry Markowitz firstly in the 1950's. In his work, the PSP was formulated as the mean, in the classic MV model and other models of PSP (Chang, Meade et al. 2000, Kellerer, Mansini et al. 2000, Crama

Qu, Rong

71

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

72

Proactive cooperation with strangers: Enhancing complexity of the ICT firms' alliance portfolio and their innovativeness  

Science Journals Connector (OSTI)

Abstract This study explores links among firms' cooperation strategy, the complexity of their alliance portfolio, and their innovativeness in the context of the ICT industry in emerging market. Alliance portfolio formation has been increasingly recognized as a major element influencing firms' performance as well as innovativeness. However, little attention has been focused thus far on methods of alliance portfolio creation and its impact on the complexity of alliance portfolio or firms' innovativeness. This study aims to fill this gap by analyzing the impact of cooperation forming (both market-focused strategy and relationship-focused strategy) as well as managers' proactiveness and trust on the complexity of alliance portfolio and, consequently, on firms' innovativeness. The empirical models are examined using data collected in 146 firms (SME) from the ICT industry and 4006 ties in their alliance portfolios. The results suggest that a proactive, market-focused cooperation strategy (proactively searching for and selecting “strangers” from the market as potential partners) positively affects the complexity of alliance portfolio (specifically: functional, geographic, governance complexity, as well as a number of ties) and might enhance firms' innovativeness. However, relying on friends, acquaintances, and their recommendations in partnership forming might result in decreasing the alliance portfolio complexity. Moreover, managers' trust in existing partners seems not to be of crucial importance when creating diverse and complex alliance portfolios. In other words, existing ties that bind can also blind and might limit the possibility of creating of numerous, diverse partnerships and, consequently, reduce firms' innovativeness.

Monika Golonka

2014-01-01T23:59:59.000Z

73

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

E-Print Network (OSTI)

Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs and Market Impact transaction costs. The loss to a portfolio from market impact costs is typically modeled with a convex, transaction costs, market impact costs, rebalanc- ing, conic optimization, convex optimization. 1 #12

Mitchell, John E.

74

DSSE Project Portfolio 2010  

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

Operationalizing Explosives Safety Knowledge Operationalizing Explosives Safety Knowledge Problem Statement: - Explosives Safety and Munitions Risk Management (MRM) information gaps exist in the DoD Adaptive Planning and Execution process which pose potential risks to mission success and the operational environment Technical Approach: - Create a process to identify and reduce munitions-related risk by integrating MRM policies into the Joint Operations Planning Process - Create comprehensive assessment templates for collecting and analyzing logistic node data - Develop an Explosives Safety Planner tool for assessing Net Explosives Weight effects at logistics nodes Benefits: - Identify and reduce munitions-related risk during operational planning Technology Readiness Level 9 Rick Lusk

75

A Denotational Model for Component-Based Risk Analysis  

E-Print Network (OSTI)

matches the value of the assets to be protected. A certain level of risk may be acceptable if the riskA Denotational Model for Component-Based Risk Analysis Gyrd Brændeland1,2, , Atle Refsdal2 , and Ketil Stølen1,2 1 Department of Informatics, University of Oslo, Norway 2 SINTEF, Norway Abstract. Risk

Stølen, Ketil

76

Divide and Conquer Towards a Notion of Risk Model Encapsulation  

E-Print Network (OSTI)

at an acceptable level. Risk management may be with respect to many different kinds of risk, such as financialDivide and Conquer ­ Towards a Notion of Risk Model Encapsulation Atle Refsdal1 , �yvind Rideng2.rideng@otg.no Abstract. The criticality of risk management is evident when consider- ing the information society of today

Stølen, Ketil

77

ENERGY STAR Webinar: Portfolio Manager 101  

Office of Energy Efficiency and Renewable Energy (EERE)

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

78

EPA ENERGY STAR Webcast- Portfolio Manager 101  

Office of Energy Efficiency and Renewable Energy (EERE)

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

79

Modelling risk and risking models: the diffusive boundary between science and policy in volcanic risk assessment  

E-Print Network (OSTI)

to the appreciation that the eruptions may continue for 282 decades and should be regarded as a “chronic” problem for planning purposes (Donovan and 283 Oppenheimer, 2014). Managing this transition has required consistent yet innovative 284 approaches to scientific... to their advice. 524 There is abundant evidence of the political challenges of risk assessment and management on 525 Montserrat, and the complex boundaries and connectivities involved (Aspinall et al., 2002; 526 Haynes et al., 2007; Donovan and Oppenheimer...

Donovan, Amy R.; Oppenheimer, Clive

2014-11-27T23:59:59.000Z

80

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

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

82

Applications of Social Systems Modeling to Political Risk Management  

Science Journals Connector (OSTI)

Risk is inexplicably linked to complex inter-related ... and human factors would be immensely valuable to risk management. A social system model constructed with ... tools could be applied to assess and manage political

Gnana K. Bharathy; Barry Silverman

2012-01-01T23:59:59.000Z

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

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

87

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.

88

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

89

The development of an effective portfolio assessment instrument  

E-Print Network (OSTI)

OF SCIENCE August 1993 Major Subject: Curriculum and Instruction THE DEVELOPMENT OF AN EFFECTIVE PORTFOLIO ASSESSMENT INSTRUMENT A Thesis by KAREN LEIGH ALDERETE Approved as to style and content by: Viola E. Florez ( Chair of Committee ) Rafael ra... (Schroeder and Hunsburger, 1989). A good writing curriculum for students at-risk should include several components. There must be an emphasis on meaningful conununication. Less emphasis should be placed on learning mechanics of the language (e. g...

Alderete, Karen Leigh

1993-01-01T23:59:59.000Z

90

UAV Cooperative Control with Stochastic Risk Models  

E-Print Network (OSTI)

Risk and reward are fundamental concepts in the cooperative control of unmanned systems. This paper focuses on a constructive relationship between a cooperative planner and a learner in order to mitigate the learning risk ...

Geramifard, Alborz

91

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

92

Building an optimal portfolio using a mean-VaR framework  

Science Journals Connector (OSTI)

The area of finance has been a continuous source of challenging problems that have influenced research efforts on analytical and numerical solution methods for complex decision problems. In this paper we propose an original algorithm for portfolio optimization. ... Keywords: estimation, optimization, principal components analysis, risk, selection of assets, value at risk

Florentin ?erban; Maria Viorica ?tef?nescu; Silvia Dedu

2011-11-01T23:59:59.000Z

93

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

SciTech Connect

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

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

2014-05-30T23:59:59.000Z

94

2014 SunShot Initiative Portfolio Book  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. The complete 2014 SunShot Initiative Portfolio Book is available for download, as well as individual sections.

95

Download the SunShot Initiative 2014 Portfolio | Department of...  

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

Download the SunShot Initiative 2014 Portfolio Download the SunShot Initiative 2014 Portfolio SunShot InitiativeTackling Challenges in Solar2014 Portfolio.pdf More Documents &...

96

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

97

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

98

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

99

Generating Reports & Graphs in Portfolio Manager  

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

This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on how to generate reports and graphs in Portfolio Manager.

100

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

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

we take our responsibility to protect taxpayer interests very seriously. The best perspective for assessing LPO's financial performance is to look at the portfolio in its...

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Optimization Online - Robust Growth-Optimal Portfolios  

E-Print Network (OSTI)

May 24, 2014 ... Abstract: The growth-optimal portfolio is designed to have maximum ... the asset return distribution, which is not directly observable but must be ...

Napat Rujeerapaiboon

2014-05-24T23:59:59.000Z

102

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

103

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;

104

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

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

Tackling Challenges in Solar Energy 2014 SunShot Initiative Portfolio Book: Tackling Challenges in Solar Energy The 2014 SunShot Initiative Portfolio Book outlines the progress...

105

2014 Solid-State Lighting Project Portfolio | Department of Energy  

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

2014 Solid-State Lighting Project Portfolio 2014 Solid-State Lighting Project Portfolio This report contains an overview of SSL projects currently funded by DOE, and those...

106

The renewables portfolio standard in Texas: An early assessment  

E-Print Network (OSTI)

J. , 2000. Designing a Renewables Portfolio Standard:Resources. Espey, S. , 2001. Renewables Portfolio Standard:Consensus on National Renewables Policy: The Renewables

Wiser, Ryan H.; Langniss, Ole

2001-01-01T23:59:59.000Z

107

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

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

Portfolio Standards and the Promotion of Combined Heat and Power (CHP) White Paper, April 2009 Energy Portfolio Standards and the Promotion of Combined Heat and Power (CHP) White...

108

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

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

Small Buildings and Small Portfolios Overview - 2014 BTO Peer Review Small Buildings and Small Portfolios Overview - 2014 BTO Peer Review Presenter: Glenn Schatz, U.S. Department...

109

Benchmarking Mixed Use Buildings in Portfolio Manager | Department...  

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

Benchmarking Mixed Use Buildings in Portfolio Manager Benchmarking Mixed Use Buildings in Portfolio Manager This presentation, given through the DOE's Technical Assitance Program...

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

RADIATION CARCINOGENESIS IN MAN: INFLUENCE OF DOSE-RESPONSE MODELS AND RISK PROJECTION MODELS IN THE ESTIMATION OF RISK COEFFICIENTS FOLLOWING EXPOSURE TO LOW-LEVEL RADIATION  

E-Print Network (OSTI)

RADIATION CARCINOGENESIS IN MAN: INFLUENCE OF DOSE-RESPONSE MODELS AND RISK PROJECTION MODELS IN THE ESTIMATIONRADIATION CARCINOGENESIS IN HAN: INFLUENCE OF DOSE-RESPONSE MODELS AND RISK PROJECTION MODELS IN THE ESTIMATION

Fabrikant, J.I.

2010-01-01T23:59:59.000Z

112

Communications Portfolio of Work `09 -'10  

E-Print Network (OSTI)

, public safety, energy, and commerce sectors to address climate concerns. The Office of the New JerseyOffice Of Communications Portfolio of Work `09 - '10 #12;Office Of Communications Portfolio of Work for tracking pathogens in coastal watersheds, teaching landscape water conservation and stormwater reduction

Goodman, Robert M.

113

Stochastic modelling of long-term investment risks  

Science Journals Connector (OSTI)

......Stochastic modelling of long-term investment risks A.D. WILKIE R. Watson Sons...them are the uncertainties of future investment variables, which include inflation...changes in capital values).These investment risks affect inviduals in their own......

A.D. WILKIE

1995-01-01T23:59:59.000Z

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

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

120

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

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


121

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

122

Excess Invariance and Shortfall Risk Measures Jeremy Staum  

E-Print Network (OSTI)

-negativity is incompatible with the usual construction of a cash-additive risk measure from an acceptance set. It is shown the set of acceptable portfolios as the primary object, and making the risk measure a description of how far from acceptable the portfolio is. They generate a risk measure from an acceptance set by making

Staum, Jeremy

123

Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke  

E-Print Network (OSTI)

Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke Chris T In the context of the Cardiovascular Health Study, a comprehensive investigation into the risk factors for stroke of assessing who is at high risk for stroke. 1 Introduction Stroke is the third leading cause of death among

Volinsky, Chris

124

Growth Optimal Portfolios in Discrete-time Markets Under Transaction Costs  

E-Print Network (OSTI)

We investigate portfolio selection problem from a signal processing perspective and study how an investor should distribute wealth over two assets in order to maximize the cumulative wealth. We construct portfolios that provide the optimal growth in i.i.d. discrete time two-asset markets under proportional transaction costs. As the market model, we consider arbitrary discrete distributions on the price relative vectors, which can also be used to approximate a wide class of continuous distributions. To achieve optimal growth, we use threshold portfolios, where we introduce a recursive update to calculate the expected wealth. We then demonstrate that under the threshold rebalancing framework, the achievable set of portfolios elegantly form an irreducible Markov chain under mild technical conditions. We evaluate the corresponding stationary distribution of this Markov chain, which provides a natural and efficient method to calculate the cumulative expected wealth. Subsequently, the corresponding parameters are o...

Tunc, Sait; Kozat, Suleyman S

2012-01-01T23:59:59.000Z

125

Modeling Exposure to Persistent Chemicals in Hazard and Risk Assessment  

SciTech Connect

Fate and exposure modeling has not thus far been explicitly used in the risk profile documents prepared to evaluate significant adverse effect of candidate chemicals for either the Stockholm Convention or the Convention on Long-Range Transboundary Air Pollution. However, we believe models have considerable potential to improve the risk profiles. Fate and exposure models are already used routinely in other similar regulatory applications to inform decisions, and they have been instrumental in building our current understanding of the fate of POP and PBT chemicals in the environment. The goal of this paper is to motivate the use of fate and exposure models in preparing risk profiles in the POP assessment procedure by providing strategies for incorporating and using models. The ways that fate and exposure models can be used to improve and inform the development of risk profiles include: (1) Benchmarking the ratio of exposure and emissions of candidate chemicals to the same ratio for known POPs, thereby opening the possibility of combining this ratio with the relative emissions and relative toxicity to arrive at a measure of relative risk. (2) Directly estimating the exposure of the environment, biota and humans to provide information to complement measurements, or where measurements are not available or are limited. (3) To identify the key processes and chemical and/or environmental parameters that determine the exposure; thereby allowing the effective prioritization of research or measurements to improve the risk profile. (4) Predicting future time trends including how quickly exposure levels in remote areas would respond to reductions in emissions. Currently there is no standardized consensus model for use in the risk profile context. Therefore, to choose the appropriate model the risk profile developer must evaluate how appropriate an existing model is for a specific setting and whether the assumptions and input data are relevant in the context of the application. It is possible to have confidence in the predictions of many of the existing models because of their fundamental physical and chemical mechanistic underpinnings and the extensive work already done to compare model predictions and empirical observations. The working group recommends that modeling tools be applied for benchmarking PBT/POPs according to exposure-to-emissions relationships, and that modeling tools be used to interpret emissions and monitoring data. The further development of models that couple fate, long-range transport, and bioaccumulation should be fostered, especially models that will allow time trends to be scientifically addressed in the risk profile.

Cowan-Ellsberry, Christina E.; McLachlan, Michael S.; Arnot, Jon A.; MacLeod, Matthew; McKone, Thomas E.; Wania, Frank

2008-11-01T23:59:59.000Z

126

Characterizing Air Toxics Exposure and Risk and Evaluating EPA Modeling  

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

Characterizing Air Toxics Exposure and Risk and Evaluating EPA Modeling Characterizing Air Toxics Exposure and Risk and Evaluating EPA Modeling Tools for Policy Making Speaker(s): Jennifer Logue Date: October 27, 2009 - 12:00pm Location: 90-3122 The Environmental Protection Agency (EPA) defines air toxics as pollutants that are known or suspected to cause serious health effects. Title III of the 1990 Clean Air Act established 189 chemicals as air toxics or hazardous air pollutants. Large uncertainties still exist regarding exposure, risks, and sources and there has been a heavy reliance on inventories and modeling to determine sources and risks. In January 2002, Carnegie Mellon University in collaboration with the Allegheny County Health Department (ACHD) embarked on a project to investigate air toxics in Allegheny County. This

127

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

E-Print Network (OSTI)

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

Lin, Xiaodong

128

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

129

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

130

A SURVEY OF STATE-LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS  

E-Print Network (OSTI)

LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS Galenthe incremental cost of renewables portfolio standards (RPS)Washington DC have adopted renewables portfolio standards (

Barbose, Galen

2014-01-01T23:59:59.000Z

131

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

E-Print Network (OSTI)

the Costs and Benefits of Renewables Portfolio Standards: ANational Laboratory. Renewables Portfolio Standards in theRenewables Portfolio Standards in the United States LBNL-

Wiser, Ryan

2008-01-01T23:59:59.000Z

132

A Risk Model for Lung Cancer Incidence  

Science Journals Connector (OSTI)

...University Medical Center, Utrecht, The Netherlands; 17 Institute...810-0.875), the Bach model applied to the same data gave an AUC...the Netherlands (Bilthoven, Utrecht), Greece, Germany (Potsdam...only smoking information. We applied these models to the test set...

Clive Hoggart; Paul Brennan; Anne Tjonneland; Ulla Vogel; Kim Overvad; Jane Nautrup Østergaard; Rudolf Kaaks; Federico Canzian; Heiner Boeing; Annika Steffen; Antonia Trichopoulou; Christina Bamia; Dimitrios Trichopoulos; Mattias Johansson; Domenico Palli; Vittorio Krogh; Rosario Tumino; Carlotta Sacerdote; Salvatore Panico; Hendriek Boshuizen; H. Bas Bueno-de-Mesquita; Petra H.M. Peeters; Eiliv Lund; Inger Torhild Gram; Tonje Braaten; Laudina Rodríguez; Antonio Agudo; Emilio Sánchez-Cantalejo; Larraitz Arriola; Maria-Dolores Chirlaque; Aurelio Barricarte; Torgny Rasmuson; Kay-Tee Khaw; Nicholas Wareham; Naomi E. Allen; Elio Riboli; and Paolo Vineis

2012-06-01T23:59:59.000Z

133

Co-benefits Risk Assessment (COBRA) Screening Model | Open Energy  

Open Energy Info (EERE)

Co-benefits Risk Assessment (COBRA) Screening Model Co-benefits Risk Assessment (COBRA) Screening Model Jump to: navigation, search Tool Summary Name: Co-benefits Risk Assessment (COBRA) Screening Model Agency/Company /Organization: United States Environmental Protection Agency Sector: Climate Complexity/Ease of Use: Moderate Website: www.epa.gov/statelocalclimate/resources/cobra.html Cost: Free Related Tools Tool for Selecting CDM Methods & Technologies Modular Applied General Equilibrium Tool (MAGNET) COMMUTER Model ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS Automated tool that can be downloaded from the website. Converts emissions reductions into air quality improvements, estimates annual adverse health impacts avoided, and monetizes the value of these. Approach COBRA converts emissions reductions into air quality improvements, and

134

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,

135

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

136

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,

137

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

138

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

139

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

140

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

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

142

SIPBS Portfolio 2012-13 Entry  

E-Print Network (OSTI)

Strong emphasis on practical skills Employment in biotechnology industry ­ pharmaceutical, biomedical and commercialization. Applications options in medical biotechnology, pharmaceutical biotechnology, industrialSIPBS Portfolio 2012-13 Entry #12;MSc Programmes Existing: · MSc Pharmaceutical Analysis · MSc

Mottram, Nigel

143

RENEWABLES PORTFOLIO STANDARD 2005 PROCUREMENT VERIFICATION  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION RENEWABLES PORTFOLIO STANDARD 2005 PROCUREMENT VERIFICATION RENEWABLES COMMITTEE John L. Geesman Presiding Member Jackalyne Pfannenstiel Associate Member B.B. Blevins Executive Director Jason Orta Heather Raitt Principal Authors Mark Hutchison Manager RENEWABLE ENERGY OFFICE

144

EPA ENERGY STAR Webcast- Portfolio Manager 201  

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

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

145

ENERGY STAR Webinar: Portfolio Manager 101  

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

ENERGY STAR is hosting a webinar on the U.S. Environmental Protection Agency's new ENERGY STAR Portfolio Manager tool on Oct. 28, 2014, from 1:00 p.m. - 2:30 p.m. Eastern Standard Time.

146

Simplified risk model support for environmental management integration  

SciTech Connect

This paper summarizes the process and results of human health risk assessments of the US Department of Energy (DOE) complex-wide programs for high-level waste, transuranic waste, low-level, mixed low-level waste, and spent nuclear fuel. The DOE baseline programs and alternatives for these five material types were characterized by disposition maps (material flow diagrams) and supporting information in the May 1997 report `A Contractor Report to the Department of Energy on Environmental Baseline Programs and Integration Opportunities` (Discussion Draft). Risk analyses were performed using the Simplified Risk Model (SRM), developed to support DOE Environmental Management Integration studies. The SRM risk analyses consistently and comprehensively cover the life cycle programs for the five material types, from initial storage through final disposition. Risk results are presented at several levels: DOE complex-wide, material type program, individual DOE sites, and DOE site activities. The detailed risk results are documented in the February 1998 report `Human Health Risk Comparisons for Environmental Management Baseline Programs and Integration Opportunities` (Discussion Draft).

Eide, S.A.; Jones, J.L.; Wierman, T.E.

1998-03-01T23:59:59.000Z

147

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:

148

RISK SENSITIVE CONTROL AND AN OPTIMAL INVESTMENT MODEL (II)  

E-Print Network (OSTI)

RISK SENSITIVE CONTROL AND AN OPTIMAL INVESTMENT MODEL (II) W. H. Fleming1 and S. J. Sheu2 Brown University and Academia Sinica Abstract. We consider an optimal investment problem proposed by Bielecki and Pliska. The goal of the investment problem is to optimize the long term growth of expected utility

Sheu, Shuenn-Jyi

149

Non-Negative Risk Components Jeremy Staum  

E-Print Network (OSTI)

. Depending on the purpose of risk attribution, it may or may not be acceptable to get negative riskNon-Negative Risk Components Jeremy Staum j-staum@northwestern.edu Department of Industrial the risk of a portfolio or system to its compo- nents, when it is required to produce non-negative risk

Staum, Jeremy

150

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

151

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

152

A Log-Robust Optimization Approach to Portfolio Management  

E-Print Network (OSTI)

of the final portfolio value as performance metrics, and show empirically that the traditional approach leads to much less diversified portfolios, and hence much worse performance, in implementations with real ...... action Costs. Computers and ...

2008-12-15T23:59:59.000Z

153

Assessing and reducing product portfolio complexity in the pharmaceutical industry  

E-Print Network (OSTI)

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

Leiter, Kevin M. (Kevin Michael)

2011-01-01T23:59:59.000Z

154

Summary of the California Energy Commission's Renewables Portfolio  

E-Print Network (OSTI)

Summary of the California Energy Commission's Renewables Portfolio Standard Contractor Reports, and the Status of Renewables Portfolio Standard Contracting and Regulation Prepared For: California Energy Director, Renewable Energy Program Drake Johnson Office Manager Renewable Energy Office Valerie Hall Deputy

155

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":""}]}

156

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

157

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

158

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

159

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

160

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

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


161

Transportation System Risk Assessment (TSRA) bounding release model  

SciTech Connect

Transportation System Risk Assessments (TSRAs) document the compliance of proposed shipments of nuclear components with applicable federal regulations as well as the associated risks involved. If a relatively simple bounding analysis can show that the consequences resulting from a worst case scenario are acceptably low, a more time intensive and costly risk analysis can be avoided. Therefore, a bounding release FORTRAN model has been developed to determine the consequences of a worst case non-criticality transportation accident. The consequences of three conservative bounding accidents are determined by the model: (1) direct radiation exposure, (2) airborne release of radiological and/or hazardous solid material, and (3) release of radiological and/or hazardous solid material into a waterway and subsequent uptake by an individual through drinking water. Program output includes the direct radiation exposure (mrem), maximum downwind concentration (mg/m{sup 3}), radiation dose (mrem) received as a result of the postulated airborne release of radiological material, intake (mg) due to inhalation, radiation dose (mrem) received by an individual resulting from a release of radiological material into a waterway and uptake into drinking water, and uptake (mg) due to ingestion. This report documents the methodologies and correlations used in the numerical model to perform the bounding consequence calculations.

Anderson, J.C.

1997-10-01T23:59:59.000Z

162

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

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

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

163

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

164

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

165

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.

166

Spin-out Company Portfolio Technology Transfer  

E-Print Network (OSTI)

Spin-out Company Portfolio 2012 Technology Transfer The Sir Colin Campbell Building The University `Entrepreneurial University of the Year' in 2008. The Technology Transfer Office (TTO) has close links detail. Dr Susan Huxtable Director, Technology Transfer Tel: +44 (0)115 84 66388 Email: susan

Aickelin, Uwe

167

SunShot Initiative 2014 Portfolio Overview  

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

These slides correspond to a presentation given by SunShot Initiative Director Minh Le at the 2014 SunShot Grand Challenge Summit and Peer Review in Anaheim, CA. This presentation is an overview of the SunShot Initiative's research portfolio.

168

How Portfolio Manager calculates greenhouse gas emissions | ENERGY STAR  

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

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

169

Peer Review of NRC Standardized Plant Analysis Risk Models  

SciTech Connect

The Nuclear Regulatory Commission (NRC) Standardized Plant Analysis Risk (SPAR) Models underwent a Peer Review using ASME PRA standard (Addendum C) as endorsed by NRC in Regulatory Guide (RG) 1.200. The review was performed by a mix of industry probabilistic risk analysis (PRA) experts and NRC PRA experts. Representative SPAR models, one PWR and one BWR, were reviewed against Capability Category I of the ASME PRA standard. Capability Category I was selected as the basis for review due to the specific uses/applications of the SPAR models. The BWR SPAR model was reviewed against 331 ASME PRA Standard Supporting Requirements; however, based on the Capability Category I level of review and the absence of internal flooding and containment performance (LERF) logic only 216 requirements were determined to be applicable. Based on the review, the BWR SPAR model met 139 of the 216 supporting requirements. The review also generated 200 findings or suggestions. Of these 200 findings and suggestions 142 were findings and 58 were suggestions. The PWR SPAR model was also evaluated against the same 331 ASME PRA Standard Supporting Requirements. Of these requirements only 215 were deemed appropriate for the review (for the same reason as noted for the BWR). The PWR review determined that 125 of the 215 supporting requirements met Capability Category I or greater. The review identified 101 findings or suggestions (76 findings and 25 suggestions). These findings or suggestions were developed to identify areas where SPAR models could be enhanced. A process to prioritize and incorporate the findings/suggestions supporting requirements into the SPAR models is being developed. The prioritization process focuses on those findings that will enhance the accuracy, completeness and usability of the SPAR models.

Anthony Koonce; James Knudsen; Robert Buell

2011-03-01T23:59:59.000Z

170

Is it Worth it? A Comparative Analysis of Cost-Benefit Projections for State Renewables Portfolio Standards  

E-Print Network (OSTI)

Benefit Projections for State Renewables Portfolio Standards2006 Introduction State renewables portfolio standards (RPS)Analysis for Meeting a 20% Renewables Portfolio Standard by

Chen, Cliff; Wiser, Ryan; Bolinger, Mark

2006-01-01T23:59:59.000Z

171

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

E-Print Network (OSTI)

Green Power Programs in State Renewables Portfolio StandardsGreen Power Programs in State Renewables Portfolio Standardshave adopted mandatory renewables portfolio standards (RPS)

Holt, Edward A.; Wiser, Ryan H.

2007-01-01T23:59:59.000Z

172

Unsupervised neural models for country and political risk analysis  

Science Journals Connector (OSTI)

This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyze levels of country, business and political risk. Its main goal is to help business decision-makers understand the dynamics within the emerging market countries in which they operate. Most of the neural models applied in this study are defined within the framework of unsupervised learning. They are based on Exploratory Projection Pursuit, Topology Preserving Maps and Curvilinear Component Analysis. Two interesting real data sets are analyzed to empirically probe the robustness of these models. The first case study describes information from a significant sample of Spanish multinational enterprises (MNEs). It analyses data pertaining to such aspects as decisions over the location of subsidiary enterprises in various regions across the world, the importance accorded to such decisions and the driving forces behind them. Through a projection-based analysis, this study reveals a range of different reasons underlying the internationalization strategies of Spanish \\{MNEs\\} and the different goals they pursue. It may be concluded that projection connectionist techniques are of immense assistance in the process of identifying the internationalization strategies of Spanish MNEs, their underlying motives and the goals they pursue. The second case study covers several risk categories that include task policy, security, and political stability among others, and it tracks the scores of different countries all over the world. Interesting conclusions are drawn from the application of several business intelligence solutions based on neural projection models, which support data analysis in the context of country and political risk analysis.

Álvaro Herrero; Emilio Corchado; Alfredo Jiménez

2011-01-01T23:59:59.000Z

173

Risk-based Multiobjective Optimization Model for Bridge Maintenance Planning  

SciTech Connect

Determining the optimal maintenance plan is essential for successful bridge management. The optimization objectives are defined in the forms of minimizing life-cycle cost and maximizing performance indicators. Previous bridge maintenance models assumed the process of bridge deterioration and the estimate of maintenance cost are deterministic, i.e., known with certainty. This assumption, however, is invalid especially with estimates over a long time horizon of bridge life. In this study, we consider the risks associated with bridge deterioration and maintenance cost in determining the optimal maintenance plan. The decisions variables include the strategic choice of essential maintenance (such as silane treatment and cathodic protection), and the intervals between periodic maintenance. A epsilon-constrained Particle Swarm Optimization algorithm is used to approximate the tradeoff between life-cycle cost and performance indicators. During stochastic search for optimal solutions, Monte-Carlo simulation is used to evaluate the impact of risks on the objective values, at an acceptance level of reliability. The proposed model can facilitate decision makers to select the compromised maintenance plan with a group of alternative choices, each of which leads to a different level of performance and life-cycle cost. A numerical example is used to illustrate the proposed model.

Yang, I-T. [Associate Professor, National Taiwan University of Science and Technology (China); Hsu, Y.-S.

2010-05-21T23:59:59.000Z

174

An integrated environmental modeling framework for performing Quantitative Microbial Risk Assessments  

Science Journals Connector (OSTI)

Standardized methods are often used to assess the likelihood of a human-health effect from exposure to a specified hazard, and inform opinions and decisions about risk management and communication. A Quantitative Microbial Risk Assessment (QMRA) is specifically ... Keywords: Integrated environmental modeling, Manure, Pathogens, QMRA, Risk assessment, Watershed modeling

Gene Whelan, Keewook Kim, Mitch A. Pelton, Jeffrey A. Soller, Karl J. Castleton, Marirosa Molina, Yakov Pachepsky, Richard Zepp

2014-05-01T23:59:59.000Z

175

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.

176

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.

177

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

178

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

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

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

179

Application of the cumulative risk model in predicting school readiness in Head Start children  

E-Print Network (OSTI)

This study investigates the degree to which the cumulative risk index predicted school readiness in a Head Start population. In general, the reviewed studies indicated the cumulative risk model was efficacious in predicting adverse developmental...

Rodriguez-Escobar, Olga Lydia

2009-05-15T23:59:59.000Z

180

2014 SunShot Initiative Portfolio Book: Introduction  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section includes a letter from Director Minh Le, as well as an introduction section offering an overview of SunShot’s current portfolio of work.

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Exploring a new technique to determine the optimal real estate portfolio allocation  

E-Print Network (OSTI)

Modern Portfolio Theory has been developed over the last fifty years, and there are several studies linking Modern Portfolio Theory with the allocation of real estate property in multi-asset portfolios. However, in reality, ...

Fu, Tingting

2014-01-01T23:59:59.000Z

182

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

183

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

184

Full list of Portfolio Manager custom reporting metrics | ENERGY STAR  

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

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

185

EPA ENERGY STAR Webcast: Portfolio Manager 101 | Department of...  

Office of Environmental Management (EM)

Portfolio Manager; add a property and enter details about it; enter energy and water consumption data; share properties; generate performance reports to assess progress; and...

186

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

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

Aeronautics and Space Administration NASA 's Composites Portfolio Department of Energy Workshop Fiber Reinforced Polymer Composites Manufacturing Presented by: John Vickers January...

187

NREL: State and Local Governments - Renewable Portfolio Standards  

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

provisions, as of March 2013. Map from the Database of State Incentives for Renewables & Efficiency (DSIRE) A renewable portfolio standard (RPS) is a regulatory mandate to...

188

The Federal Guiding Principles Checklist in ENERGY STAR Portfolio  

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

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

189

Micro-level learning and alliance portfolio performance  

Science Journals Connector (OSTI)

This study examines learning mechanisms to explain why some firms extract superior economic rents from their alliance portfolios. In particular, we examine the relationship between alliance experience and the use of learning mechanisms, as well as the impact of learning mechanisms on a firm's capability to manage alliance portfolios. The results are based on a detailed survey among 192 alliance managers and Vice-Presidents reporting on over 3400 alliances initiated over the period 1997â??2001. The empirical findings reveal what micro-level learning mechanisms contribute to manage alliance portfolios successfully and empirically validate how lessons from prior alliances can be leveraged across a firm's entire alliance portfolio.

Koen H. Heimeriks

2010-01-01T23:59:59.000Z

190

Renewables Portfolio Standards: A Factual Introduction to Experience from the United States  

E-Print Network (OSTI)

Electric Markets: The Renewables Portfolio Standard. ” TheDuckworth. “Can We Afford a Renewables Portfolio Standard? ”Consensus on National Renewables Policy: The Renewables

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

2008-01-01T23:59:59.000Z

191

Costs and Benefits of Renewables Portfolio Standards in the United States  

E-Print Network (OSTI)

Documents/201304-IPA-Renewables- Report.pdf. Springfield,and Benefits of State Renewables Portfolio Standards: ACommission). (2009). 33% Renewables Portfolio Standard:

Barbose, Galen

2014-01-01T23:59:59.000Z

192

New approaches to robustness and learning in data-driven portfolio optimization  

E-Print Network (OSTI)

approach to stochastic programming of heating oil. Management Science,Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms. Management Science,

Vahn, Gah-Yi

2012-01-01T23:59:59.000Z

193

2011 Industrial Distributed Energy and CHP R&D Portfolio Review...  

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

Combined Heat & Power Deployment 2011 Industrial Distributed Energy and CHP R&D Portfolio Review 2011 Industrial Distributed Energy and CHP R&D Portfolio Review The Advanced...

194

Innovative methods in assessing political risk for business internationalization  

Science Journals Connector (OSTI)

Political risk assessment, together with portfolio analysis, has become an important part of international business investment decision making. In this paper, by using different knowledge discovery techniques, we attempt to assess the relevance and actionability of ‘good governance’ indicators in political risk assessment. For that purpose, we have integrated good governance indicators data with political instability classification from the Political Instability Task Force (PITF) research. From this study, two models that capture the intuitive reasoning of investors have been developed. The usefulness of the models has been evaluated by comparison with factual investment data. Our findings suggest that quantitative indicators of good governance may provide the basis for accurate and meaningful models for the assessment and prediction of political risk.

Ruth Rios-Morales; Dragan Gamberger; Tom Šmuc; Francisco Azuaje

2009-01-01T23:59:59.000Z

195

An evaluation of risk simulation models for reserve estimates  

E-Print Network (OSTI)

. Typically, economic factors such as net present worth are calculated with great accuracy, then risk is assessed simply with an adjective. This intuitive approach to decision making was acceptable in the past because the level of risk was low.... Typically, economic factors such as net present worth are calculated with great accuracy, then risk is assessed simply with an adjective. This intuitive approach to decision making was acceptable in the past because the level of risk was low...

Judah, Janeen Sue

2012-06-07T23:59:59.000Z

196

Systemic risk: the dynamics of model banking systems  

Science Journals Connector (OSTI)

...is, to study systemic risk. Recent events have...100 experts on systemic risk from 22 countries, representing banks, regulators, investment firms, US national laboratories...parallels between systemic risk in the financial sector...its interaction with political and other constraints...

2010-01-01T23:59:59.000Z

197

Malaria in Africa: Vector Species' Niche Models and Relative Risk Maps  

E-Print Network (OSTI)

variable anthrophilicity of vectors and spatial variation in human population density. Relative risk maps are produced from these models. All models predict that human population density is the critical factorMalaria in Africa: Vector Species' Niche Models and Relative Risk Maps Alexander Moffett, Nancy

Sarkar, Sahotra

198

Scenario-based dynamic corporate bond portfolio management  

Science Journals Connector (OSTI)

......portfolio management Patrizia Beraldi...and Computer Science, University...optimization approaches in the fixed...selection approaches. We also...Journal of Management Mathematics...portfolio management Patrizia Beraldi...and Computer Science, University...optimization approaches in the fixed......

Patrizia Beraldi; Francesco De Simone; Antonio Violi; Giorgio Consigli; Gaetano Iaquinta

2012-10-01T23:59:59.000Z

199

Impulse Control and Optimal Portfolio Selection with General Transaction Cost  

E-Print Network (OSTI)

Impulse Control and Optimal Portfolio Selection with General Transaction Cost Jin Ma , Qingshuo portfolio selection problem under general trans- action cost. We consider a simplified financial market of the optimal strategy for a fairly large class of cost functionals, and we show that the number of trading

Zhang, Jianfeng

200

Impulse Control and Optimal Portfolio Selection with General Transaction Cost  

E-Print Network (OSTI)

Impulse Control and Optimal Portfolio Selection with General Transaction Cost Jin Ma , Qingshuo portfolio selection problem under general trans- action cost. We consider a simplified financial market to an impulse control problem with subadditive transaction costs. We prove the existence of the optimal strategy

Zhang, Jianfeng

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Portfolio optimization with linear and fixed transaction costs  

E-Print Network (OSTI)

Portfolio optimization with linear and fixed transaction costs Miguel Sousa Lobo1 Maryam Fazel2 optimization with linear and fixed transaction costs Abstract We consider the problem of portfolio selection of the return, and bounds on different shortfall probabilities are efficiently handled by convex optimization

202

Prioritizing a Portfolio of Information Technology Investment Projects  

Science Journals Connector (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

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

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

207

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

208

Industrial Energy Efficiency as a Risk Management Strategy  

E-Print Network (OSTI)

portfolio. Traditional strategies to combat against unwanted exposure in this market include hedging and long term and futures contracts. However, the following explores the topic of considering energy efficiency as a risk management tool in reducing...

Naumoff, C.; Shipley, A. M.

2007-01-01T23:59:59.000Z

209

Preliminary Technical Risk Analysis for the Geothermal Technologies Program  

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

This report explains the goals, methods, and results of a probabilistic analysis of technical risk for a portfolio of R&D projects in the DOE Geothermal Technologies Program.

210

Modeling Exposure to Persistent Chemicals in Hazard and Risk Assessment  

E-Print Network (OSTI)

of organohalogen contaminants (dioxins, PCB, PBDE andInvestigation into levels of dioxins, furans, PCBs and PBDEsfor risk assessment of dioxin-contaminated sites. Ambio 36:

Cowan-Ellsberry, Christina E.

2010-01-01T23:59:59.000Z

211

Simplified Risk Model Version II (SRM-II) Structure and Application  

SciTech Connect

The Simplified Risk Model Version II (SRM-II) is a quantitative tool for efficiently evaluating the risk from Department of Energy waste management activities. Risks evaluated include human safety and health and environmental impact. Both accidents and normal, incident-free operation are considered. The risk models are simplifications of more detailed risk analyses, such as those found in environmental impact statements, safety analysis reports, and performance assessments. However, wherever possible, conservatisms in such models have been removed to obtain best estimate results. The SRM-II is used to support DOE complex-wide environmental management integration studies. Typically such studies involve risk predictions covering the entire waste management program, including such activities as initial storage, handling, treatment, interim storage, transportation, and final disposal.

S. A. Eide; T. E. Wierman

1999-08-01T23:59:59.000Z

212

Simplified Risk Model Version II (SRM-II) Structure and Application  

SciTech Connect

The Simplified Risk Model Version II (SRM-II) is a quantitative tool for efficiently evaluating the risk from Department of Energy waste management activities. Risks evaluated include human safety and health and environmental impact. Both accidents and normal, incident-free operation are considered. The risk models are simplifications of more detailed risk analyses, such as those found in environmental impact statements, safety analysis reports, and performance assessments. However, wherever possible, conservatisms in such models have been removed to obtain best estimate results. The SRM-II is used to support DOE complex-wide environmental management integration studies. Typically such activities involve risk predictions including such activities as initial storage, handling, treatment, interim storage, transportation, and final disposal.

Eide, Steven Arvid; Wierman, Thomas Edward

1999-08-01T23:59:59.000Z

213

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

214

Multistage Stochastic Portfolio Optimisation in Deregulated ...  

E-Print Network (OSTI)

Jun 9, 2011 ... The deregulation of electricity markets increases the financial risk faced ... in order to maximise expected profit at some acceptable level of risk.

2011-06-10T23:59:59.000Z

215

Paper ID #381 Proceedings of Power Tech 2007, July 1-5, Lausanne Abstract--This paper presents a framework of portfolio  

E-Print Network (OSTI)

a framework of portfolio optimization for energy markets from an electric energy company's perspective risk as a distribution that represents the minimum expected profit acceptable by the energy company. The objective of this research is to determine the best possible investment plan by combining two potentially

Berleant, Daniel

216

Conceptual Model of Offshore Wind Environmental Risk Evaluation System  

SciTech Connect

In this report we describe the development of the Environmental Risk Evaluation System (ERES), a risk-informed analytical process for estimating the environmental risks associated with the construction and operation of offshore wind energy generation projects. The development of ERES for offshore wind is closely allied to a concurrent process undertaken to examine environmental effects of marine and hydrokinetic (MHK) energy generation, although specific risk-relevant attributes will differ between the MHK and offshore wind domains. During FY10, a conceptual design of ERES for offshore wind will be developed. The offshore wind ERES mockup described in this report will provide a preview of the functionality of a fully developed risk evaluation system that will use risk assessment techniques to determine priority stressors on aquatic organisms and environments from specific technology aspects, identify key uncertainties underlying high-risk issues, compile a wide-range of data types in an innovative and flexible data organizing scheme, and inform planning and decision processes with a transparent and technically robust decision-support tool. A fully functional version of ERES for offshore wind will be developed in a subsequent phase of the project.

Anderson, Richard M.; Copping, Andrea E.; Van Cleve, Frances B.; Unwin, Stephen D.; Hamilton, Erin L.

2010-06-01T23:59:59.000Z

217

Risk prediction models for melanoma: A systematic review  

E-Print Network (OSTI)

and Armstrong (35) point out, if a screening programme is to be directed towards a high risk group and is to have an impact on the disease as a whole, three criteria must be satisfied in addition to those for all screening programmes (41): People at high risk... :1000129. 35. English, DR, Armstrong, BK. Identifying people at high risk of cutaneous malignant melanoma: Results from a case-control study in Western Australia. Br. Med. J. (Clin. Res. Ed). 1988; 296: 1285–1288. 36. Amir, E, Freedman, OC, Seruga...

Usher-Smith, Juliet A.; Emery, Jon; Kassianos, Angelos P.; Walter, Fiona M.

2014-06-03T23:59:59.000Z

218

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

219

2014 SunShot Initiative Portfolio Book: Concentrating Solar Power  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section includes a letter from Program Manager Dr. Ranga Pitchumani providing an overview of SunShot’s work in the concentrating solar power (CSP) subprogram, as well as a description of every active CSP project in the portfolio.

220

2014 SunShot Initiative Portfolio Book: Systems Integration  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section includes a letter from Program Manager Dr. Ranga Pitchumani providing an overview of SunShot’s work in the systems integration subprogram, as well as a description of every active systems integration project in the portfolio.

Note: This page contains sample records for the topic "modeling portfolio risk" 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

2014 SunShot Initiative Portfolio Book: Photovoltaics  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section includes a letter from Program Manager Dr. Rebecca Jones-Albertus providing an overview of SunShot’s work in the photovoltaics (PV) subprogram, as well as a description of every active PV project in the portfolio.

222

2014 SunShot Initiative Portfolio Book: Technology to Market  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section includes a letter from Program Manager Dr. Lidija Sekaric, providing an overview of SunShot’s work in the technology to market subprogram, as well as a description of every active technology to market project in the portfolio.

223

2014 SunShot Initiative Portfolio Book: Soft Costs  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section includes a letter from Program Manager Dr. Elaine Ulrich, providing an overview of SunShot’s work in the soft costs/balance of systems subprogram, as well as a description of every active soft costs project in the portfolio.

224

Modeling toxic endpoints for improving human health risk assessment  

E-Print Network (OSTI)

or equivalent toxicological potency in which case they are not considered ?sufficiently? similar. Currently, this method is only useful for inhalation 4 routes of exposure because epidemiological data for human oral and dermal exposures are not yet... available. Consequently, it is only feasible to use in cases where inhalation risk will be the dominant contributor to the overall risk estimates. This method is not considered a viable option for mixtures that have originated from unknown sources...

Bruce, Erica Dawn

2009-05-15T23:59:59.000Z

225

Research on the risk forecast model in the coal mine system based on GSPA-Markov  

Science Journals Connector (OSTI)

Safety accidents in the coal mine occurred frequently, that how to reduce them became an important national task, which the hazards identification and the risk forecast work in the coal mine system can solve. In the process of risk forecast in the coal mine system, considering characteristics that system risk is different in different period, the IDO (identification, difference, opposition) change rule of the set pair which has element weight is analyzed, and on the basis of which, the system risk forecast model based on GSPA-MARKOV is put forward. The application example shows that the risk state in the coal mine system is forecasted by the transition probability and the ergodicity in the model, which embodies fully dynamic, predictable and so on , thus it provides a new method to determine the risk state in the coal mine system.

LI De-shun; XU Kai-li

2011-01-01T23:59:59.000Z

226

Model for quantitative risk assessment on naturally ventilated metering-regulation stations for natural gas  

Science Journals Connector (OSTI)

Abstract The paper presents a model for quantitative risk assessment on metering stations and metering-regulation stations for natural gas with natural ventilation. The model enables the assessment of risk for people who live in the vicinity of these stations and complements the existing models for risk assessment on natural gas pipelines. It is based on risk assessment methods suggested in relevant guides, recommendations and standards. Explosion and jet fire are considered as major hazardous events and are modelled according to analytical models and empirical data. Local or other accessible databases are used for modelling of event frequencies and ignition probabilities. A case study on a sample station is carried out. For each hazardous event, fault tree and event tree analysis is performed. Results show influence of each hazardous event on the whole risk relative to the distance from the hazardous source. Ventilation is found to be a significant factor in determination of risk magnitude; its influence on individual risk is presented in a quantitative way. The model should be of use for pipeline operators as well as for environmental- and urban planners.

Tom Bajcar; Franc Cimerman; Brane Širok

2014-01-01T23:59:59.000Z

227

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).

228

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

229

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

230

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

231

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

232

The problem with the “portfolio approach” in American energy policy  

Science Journals Connector (OSTI)

One predominant theme in American energy and electricity policy is the idea of a “portfolio approach ... (a) biased, since fossil fuel and nuclear technologies have been heavily favored; (b) ... reason to reject ...

Benjamin K. Sovacool

2008-09-01T23:59:59.000Z

233

Portfolio Analysis and Management System (PAMS) External User Guide  

Office of Energy Efficiency and Renewable Energy (EERE)

Portfolio Analysis and Management System (PAMS) External User Guide, Version 11.0, September 2013. Prepared for: U.S. Department of Energy Office of Science Office of Business Policy and Operations.

234

Renewables Portfolio Standards and Goals | Open Energy Information  

Open Energy Info (EERE)

a stub. You can help OpenEI by expanding it. Retrieved from "http:en.openei.orgwindex.php?titleRenewablesPortfolioStandardsandGoals&oldid542706" Categories: Stubs EZFeed...

235

So You Have Questions About?Renewable Portfolio Standards: Resources...  

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

Renewable Portfolio Standards Resources & Technical Assistance Second in a series of Policy Basics NREL is a national laboratory of the U.S. Department of Energy, Office of Energy...

236

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

237

MARKETING PORTFOLIO SAMPLES OF CONTENT FOR EXECUTIVE SUMMARIES*  

E-Print Network (OSTI)

MARKETING PORTFOLIO SAMPLES OF CONTENT FOR EXECUTIVE SUMMARIES* Table of Contents Professional Marketing (Rainbow Realty) Page 6 Marketing Research (Kroger, Private Label) Page 8 Consumer Behavior (Slim Fast) Page 10 Marketing Information Technology (Sierra Nevada

de Lijser, Peter

238

EPA ENERGY STAR Webinar: ENERGY STAR Portfolio Manager 201  

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

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

239

Wendy Cain named portfolio federal project director for ETTP cleanup  

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

The U.S. Department of Energy’s Oak Ridge Office of Environmental Management has named Wendy Cain as its new portfolio federal project director for cleanup of the East Tennessee Technology Park.

240

Technology Portfolio Planning by Weighted Graph Analysis of System Architectures  

E-Print Network (OSTI)

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

de Weck, Olivier L.

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

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

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

242

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

243

Regional Portfolio Model ResultsRegional Portfolio Model Results Michael Schilmoeller  

E-Print Network (OSTI)

170 Geothermal 0 0 0 52 104 156 169 and the larger of Wind 0 0 1200 1200 3000 3000 3000 RPS* req 0 317 2027 2028 2029 Years $2006mills/kWh 100% 90% 80%

244

Modelling Risk from a Disease in Time and Space  

E-Print Network (OSTI)

. The Ohio dataset has been of particular interest because of the suggestion that a nuclear facility of additional risk from a known putative source, such as a nuclear installation. For some further comments factors during the time period of the study. In the present paper, we use for illustration a dataset

Washington at Seattle, University of

245

Modeling maintenance projects risk effects on ERP performance  

Science Journals Connector (OSTI)

Worldwide organizations have made important efforts to replace their legacy information applications by ERP (Enterprise Resource Planning) solutions. However, a suitable system implementation does not guarantee the ERP adoption success. This also depends ... Keywords: ERP maintenance, Simulations, Soft computing, Software project risks, System performance

Cristina López; Jose L. Salmeron

2014-03-01T23:59:59.000Z

246

A Model for Fuzzy Logic Assessment of Real Estate Investment Risks  

Science Journals Connector (OSTI)

Assessing the real estate investment risks is a major issue for the responsible management and the sustainable regional development. The paper proposes a fuzzy logic model for complex estimation of the real estate

Plamena Zlateva; Dimiter Velev…

2011-01-01T23:59:59.000Z

247

Evaluation Model for Safety Capacity of Chemical Industrial Park Based on Acceptable Regional Risk  

Science Journals Connector (OSTI)

Abstract The paper defines the Safety Capacity of Chemical Industrial Park (SCCIP) from the perspective of acceptable regional risk. For the purpose to explore the evaluation model for the SCCIP, a method based on quantitative risk assessment was adopted for evaluating transport risk and to confirm reasonable safety transport capacity for chemical industrial park, and then by combining with the safety storage capacity,a SCCIP evaluation model was put forward. The SCCIP was decided by the smaller one between the largest safety storage capacity and the maximum safety transport capacity, or else, the regional risk of the park will exceed the acceptable level. The developed method was applied to a chemical industrial park in Guangdong province to obtain the maximum safety transport capacity and the SCCIP. The results can be realized the regional risk control to the Park effectively.

Guohua Chen; Shukun Wang; Xiaoqun Tan

2014-01-01T23:59:59.000Z

248

Supply chain coordination with risk sensitive retailer under target sales rebate  

Science Journals Connector (OSTI)

Target sales rebate (TSR) contracts have been shown to be useful in coordinating supply chains with risk-neutral agents. However, there have been few studies on the cases with risk sensitive agents. As a result, based on the classic Markowitz portfolio theory in finance, we carry out in this paper a mean–variance (MV) analysis of supply chains under TSR contracts. We study a supply chain with a single supplier and a single risk averse retailer. We propose TSR contracts for achieving coordination. We demonstrate how TSR contracts can coordinate the supply chain which takes into consideration the degree of risk aversion of the retailer. We find that the supplier can coordinate the channel with flexible TSR contracts. In addition, we extend the supply chain model to include sales effort decision of the retailer. Conditions for TSR contracts to coordinate the supply chain with sales effort of retailer are also derived.

Chun-Hung Chiu; Tsan-Ming Choi; Xun Li

2011-01-01T23:59:59.000Z

249

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

E-Print Network (OSTI)

M. Fripp. 2004. Putting Renewables to Work: How Many Jobsand S. Hempling. 2001. The Renewables Portfolio Standard: AEvaluating Experience with Renewables Portfolio Standards in

Chen, Cliff; Wiser, Ryan; Bolinger, Mark

2007-01-01T23:59:59.000Z

250

Optimization Online - Multistage Stochastic Portfolio Optimisation in ...  

E-Print Network (OSTI)

Jun 4, 2010 ... Abstract: The deregulation of electricity markets increases the financial risk faced by retailers who procure electric energy on the spot market to ...

Paula Rocha

2010-06-04T23:59:59.000Z

251

Credit lender–borrower relationship in the credit card market – Implications for credit risk management strategy and relationship marketing  

Science Journals Connector (OSTI)

Abstract Lehman Brothers filed for bankruptcy in 2008, precipitating the international financial crisis. Many questioned the banks’ risk-taking credit system. Understanding credit risk and how the credit system functions may provide knowledge on managing credit, to avoid another such international crisis. We study the credit card field and present a pricing decision model for managing credit risk. Recent credit lenders’ portfolio re-pricing practices call for immediate attention to the credit lender–borrower relationship and relationship marketing. A literature review and recent phenomena in the credit card industry reveal that the lenders’ re-pricing strategy negatively affects the credit lender–borrower relationship and relationship marketing. Thus, we introduce a pricing decision model incorporating the lenders’ re-pricing strategy and the credit lender–borrower relationship. Further, we discuss the implications of, and the role of marketing in, credit risk management and the implications of relationship marketing for credit lenders in foreign markets, including the US market.

Joon-Hee Oh; Wesley J. Johnston

2014-01-01T23:59:59.000Z

252

2014 SunShot Initiative Portfolio Book: Appendix of SunShot Funding...  

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

Appendix of SunShot Funding Programs 2014 SunShot Initiative Portfolio Book: Appendix of SunShot Funding Programs The 2014 SunShot Initiative Portfolio Book outlines the progress...

253

CASH FLOW MATCHING PROBLEM WITH CVaR CONSTRAINTS: A CASE STUDY WITH PORTFOLIO SAFEGUARD  

E-Print Network (OSTI)

CASH FLOW MATCHING PROBLEM WITH CVaR CONSTRAINTS: A CASE STUDY WITH PORTFOLIO SAFEGUARD Danjue problem is minimized. We use Portfolio Safeguard (PSG) decision support tool to solve the optimization

Uryasev, Stanislav

254

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

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

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

255

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

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

Portfolio highlighting projects that seek to make improvements in a broad range of energy production, storage, and consumption applications.

256

Barriers to CHP with Renewable Portfolio Standards, Draft White Paper, September 2007  

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

A draft white paper discussing the barriers to combine heat and power (CHP) with renewable portfolio standards

257

2011 CHP/Industrial Distributed Energy R&D Portfolio Review- Summary Report  

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

Summary report of the Industrial Distributed Energy R&D Portfolio Review providing presentation summaries, closing remarks, and agenda

258

A long term radiological risk model for plutonium-fueled and fission reactor space nuclear system  

SciTech Connect

This report describes the optimization of the RISK III mathematical model, which provides risk assessment for the use of a plutonium-fueled, fission reactor in space systems. The report discusses possible scenarios leading to radiation releases on the ground; distinctions are made for an intact reactor and a dispersed reactor. Also included are projected dose equivalents for various accident situations. 54 refs., 31 figs., 11 tabs. (TEM)

Bartram, B.W.; Dougherty, D.K.

1987-01-01T23:59:59.000Z

259

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

260

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

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

262

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

263

Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs  

E-Print Network (OSTI)

Rebalancing an Investment Portfolio in the Presence of Convex Transaction Costs John E. Mitchell transaction costs are incurred to rebalance an investment portfolio. In partic- ular, we consider linear;1 Introduction Constructing a portfolio of investments is one of the most significant financial decisions facing

Mitchell, John E.

264

Legal Issues and Risks Associated with Building Information Modeling Technology  

E-Print Network (OSTI)

Dimensional Interactive Application CIFE Center for Integrated Facility Engineering, Stanford University EJCDC Engineers Joint Contract Documents Committee GSA General Services Administration HVAC Heating, Ventilating and Air Conditioning IAI... of the project. Figure 2-2. Site Planning and Site Utilization (Mortenson 3D Image) ?4D? Scheduling and Sequencing. When the 3D model is combined with the CPM schedule, it creates a ?4D? model, using time as the fourth dimension. This is done to visualize...

Foster, Leon Lewis

2008-07-22T23:59:59.000Z

265

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

266

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

267

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

268

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

269

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

270

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

271

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

272

Value based analysis of acquisition portfolios  

E-Print Network (OSTI)

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

Burgess, Cheri Nicole Markt

2010-01-01T23:59:59.000Z

273

Application of the bioecological model and health belief model to self-reported health risk behaviors of adolescents in the united states  

E-Print Network (OSTI)

Health risk behaviors are responsible for the majority of morbidity and mortality among adolescents. Researchers have identified three sources of risk-taking in adolescents – dispositional, ecological and biological. The Bioecological Model...

Fleary, Sasha A.

2009-05-15T23:59:59.000Z

274

Building a comprehensive quantitative risk assessment model for lung cancer  

Science Journals Connector (OSTI)

...Res, Volume 46, 2005 Building a comprehensive quantitative...including identification of multi-collinearities and...and resulted in model multi-collinearities. When...asbestos exposure, family history of LC and years...factors of emphysema, family history of LC, years...

Carol J. Etzel; Qing Zhang; Matthew Schabath; Qiong Dong; Xifeng Wu; Qingyi Wei; Margaret Spitz; and Christopher I. Amos

2005-05-01T23:59:59.000Z

275

Risk-Averse Control of Undiscounted Transient Markov Models  

E-Print Network (OSTI)

For the survival model, we used the distribution function, F(x), of lifetime of the American population .... and Management Science, K. J. Arrow, S. Karlin, and S. Scarf (Eds.), Stanford University Press, Palo. Alto, 1962, pp. 148–158. [22] Klöppel ...

2014-03-22T23:59:59.000Z

276

ForestGALES A PC-based wind risk model  

E-Print Network (OSTI)

agreement and warranty. You shall not alter, modify or reverse engineer the original software or give anyone by the model as they are regarded as indicative and not prescriptive. NO RESPONSIBILITY FOR LOSS OCCASIONED environments into which ForestGALES may be put, NO WARRANTY OF FITNESS FOR A PARTICULAR PURPOSE IS OFFERED

277

Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory System.  

E-Print Network (OSTI)

Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory for simulating risks due to insulin infusion pump us- age by diabetic patients. Insulin infusion pumps allow-regulate their blood glucose levels. However, the use of infusion pumps and continuous glucose monitors can pose risks

Sankaranarayanan, Sriram

278

Development of Simplified Probabilistic Risk Assessment Model for Seismic Initiating Event  

SciTech Connect

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

279

California's Renewables Portfolio Standard (RPS) List of Facilities Certification Status  

E-Print Network (OSTI)

California's Renewables Portfolio Standard (RPS) List of Facilities Certification Status Terms Facility State Facility County Commercial Operations Date Nameplate Capacity Technology Eligibility Date-Certification High Desert Solar One - HDSO Victorville CA San Bernardino 1/1/2007 101 Solar Thermal Electric 8

280

A MEAN-VARIANCE PORTFOLIO OPTIMIZATION OF CALIFORNIA'S  

E-Print Network (OSTI)

'S 33 PERCENT RENEWABLE PORTFOLIO STANDARD GOAL Prepared For: California Energy Commission Prepared By Renewable Energy Office Valerie Hall Deputy Director Efficiency and Renewables Division B. B. Blevins in this report. #12;ABSTRACT Keystones of California's energy policy include strategies to ensure adequate energy

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Small Buildings and Small Portfolios Overview- 2014 BTO Peer Review  

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

Presenter: Glenn Schatz, U.S. Department of Energy This presentation at the 2014 Peer Review provided an overview of the Building Technologies Office's Small Buildings and Small Portfolios activities. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs.

282

Essays in asset pricing and portfolio choice  

E-Print Network (OSTI)

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...

Illeditsch, Philipp Karl

2009-05-15T23:59:59.000Z

283

Research priorities in modeling the transmission risks of H7N9 bird flu  

Science Journals Connector (OSTI)

As a new emerging infection, good system for surveillance and prediction of H7N9 bird flu outbreak is very important. Research priorities in modeling the transmission risks of H7N9 bird flu include many mulitdisciplinary approaches and international collaboration. Image: H7N9 migration from bird genetic mutation to human outbreak.

Viroj Wiwanitkit; Benyun Shi; Shang Xia; Guo-Jing Yang; Xiao-Nong Zhou; Jiming Liu

2013-08-08T23:59:59.000Z

284

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis  

E-Print Network (OSTI)

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis In the liquefied natural gas (LNG) shipping industry, the phenomenon of slosh- ing can lead to the occurrence in the LNG shipping industry. KEYWORDS: Sloshing, multivariate heavy-tail distribution, asymptotic depen

285

Refinement of weed risk assessments for biofuels using Camelina sativa as a model species  

E-Print Network (OSTI)

Refinement of weed risk assessments for biofuels using Camelina sativa as a model species Philip B and Environmental Sciences, Montana State University, PO Box 173120, Bozeman, MT 59717-3120, USA Summary 1. Biofuel. However, concerns have been raised on the invasiveness of biofuel feedstocks. Estimating invasion

Peterson, Robert K. D.

286

Reduced form electricity spot price modeling with a view towards spike risk  

E-Print Network (OSTI)

Reduced form electricity spot price modeling with a view towards spike risk Prof. Dr. Meyer. Februar 2010, 16:15 Uhr Seminarraum, LudwigstraÃ?e 33 I The recent deregulation of electricity markets has led to the creation of energy exchanges, where the electricity is freely traded. We study the most

Gerkmann, Ralf

287

Ecological Modelling 180 (2004) 135151 Simulating forest fuel and fire risk dynamics across  

E-Print Network (OSTI)

fuel module tracks fine fuel, coarse fuel and live fuel for each cell on a landscape. Fine fuel age (the oldest age cohorts) in combination with disturbance history. Live fuels, also called canopyEcological Modelling 180 (2004) 135­151 Simulating forest fuel and fire risk dynamics across

He, Hong S.

288

Chapter 29 - Portfolio and Project Planning and Management in the Drug Discovery, Evaluation, Development, and Regulatory Review Process  

Science Journals Connector (OSTI)

Drug discovery, evaluation, development, and regulatory review are complex, lengthy, and costly processes that involve in excess of 10,000 interdependent activities. In order to be successful in biopharmaceutical new product development, one needs a set of general principles that provide guidance in the construction of a Research and Development (R&D) Portfolio, the construction of individual Product Development Plans, and the subsequent updates required to keep the portfolio and product development plans current as learning occurs. The following five Principles of Optimal Product Development form the basis for defining a decision-based operational model, identifying and quantifying the critical information required at each major decision-point, projecting the probabilities of various outcomes, and informing key stakeholders (management, board, and investors) with the clear and concise status information that is needed for effective product development governance.

Charles Grudzinskas; Charles T. Gombar

2012-01-01T23:59:59.000Z

289

Discrete Fracture Network Models for Risk Assessment of Carbon Sequestration in Coal  

SciTech Connect

A software package called DFNModeler has been developed to assess the potential risks associated with carbon sequestration in coal. Natural fractures provide the principal conduits for fluid flow in coal-bearing strata, and these fractures present the most tangible risks for the leakage of injected carbon dioxide. The objectives of this study were to develop discrete fracture network (DFN) modeling tools for risk assessment and to use these tools to assess risks in the Black Warrior Basin of Alabama, where coal-bearing strata have high potential for carbon sequestration and enhanced coalbed methane recovery. DFNModeler provides a user-friendly interface for the construction, visualization, and analysis of DFN models. DFNModeler employs an OpenGL graphics engine that enables real-time manipulation of DFN models. Analytical capabilities in DFNModeler include display of structural and hydrologic parameters, compartmentalization analysis, and fluid pathways analysis. DFN models can be exported to third-party software packages for flow modeling. DFN models were constructed to simulate fracturing in coal-bearing strata of the upper Pottsville Formation in the Black Warrior Basin. Outcrops and wireline cores were used to characterize fracture systems, which include joint systems, cleat systems, and fault-related shear fractures. DFN models were constructed to simulate jointing, cleating, faulting, and hydraulic fracturing. Analysis of DFN models indicates that strata-bound jointing compartmentalizes the Pottsville hydrologic system and helps protect shallow aquifers from injection operations at reservoir depth. Analysis of fault zones, however, suggests that faulting can facilitate cross-formational flow. For this reason, faults should be avoided when siting injection wells. DFN-based flow models constructed in TOUGH2 indicate that fracture aperture and connectivity are critical variables affecting the leakage of injected CO{sub 2} from coal. Highly transmissive joints near an injection well have potential to divert a large percentage of an injected CO{sub 2} stream away from a target coal seam. However, the strata-bound nature of Pottsville fracture systems is a natural factor that mitigates the risk of long-range leakage and surface seepage. Flow models indicate that cross-formational flow in strata-bound joint networks is low and is dissipated by about an order of magnitude at each successive bedding contact. These models help confirm that strata-bound joint networks are self-compartmentalizing and that the thick successions of interbedded shale and sandstone separating the Pottsville coal zones are confining units that protect shallow aquifers from injection operations at reservoir depth. DFN models are powerful tools for the simulation and analysis of fracture networks and can play an important role in the assessment of risks associated with carbon sequestration and enhanced coalbed methane recovery. Importantly, the stochastic nature DFN models dictates that they cannot be used to precisely reproduce reservoir conditions in a specific field area. Rather, these models are most useful for simulating the fundamental geometric and statistical properties of fracture networks. Because the specifics of fracture architecture in a given area can be uncertain, multiple realizations of DFN models and DFN-based flow models can help define variability that may be encountered during field operations. Using this type of approach, modelers can inform the risk assessment process by characterizing the types and variability of fracture architecture that may exist in geologic carbon sinks containing natural fractures.

Jack Pashin; Guohai Jin; Chunmiao Zheng; Song Chen; Marcella McIntyre

2008-07-01T23:59:59.000Z

290

A Practical Approach to Modeling Managerial Risk Aversion in Real Option Valuation for Early Stage Investments ?  

E-Print Network (OSTI)

In this work, we build on a previous real options approach that utilizes managerial cash-flow estimates to value early stage project investments, but accounting for managerial risk aversion. We introduce a market sector indicator, which is assumed to be correlated to a tradeable market index, which, through a mapping function, drives and replicates the cash-flow estimates. The mapping allows us to link the cash-flow estimates to many theoretical real options frameworks which currently can not be applied in practice. Through indifference pricing we are able to model the effect of managerial risk aversion for any given set of cash-flow estimates.

Sebastian Jaimungal; Yuri Lawryshyn

291

Modeling and Quantification of Team Performance in Human Reliability Analysis for Probabilistic Risk Assessment  

SciTech Connect

Probabilistic Risk Assessment (PRA) and Human Reliability Assessment (HRA) are important technical contributors to the United States (U.S.) Nuclear Regulatory Commission’s (NRC) risk-informed and performance based approach to regulating U.S. commercial nuclear activities. Furthermore, all currently operating commercial NPPs in the U.S. are required by federal regulation to be staffed with crews of operators. Yet, aspects of team performance are underspecified in most HRA methods that are widely used in the nuclear industry. There are a variety of "emergent" team cognition and teamwork errors (e.g., communication errors) that are 1) distinct from individual human errors, and 2) important to understand from a PRA perspective. The lack of robust models or quantification of team performance is an issue that affects the accuracy and validity of HRA methods and models, leading to significant uncertainty in estimating HEPs. This paper describes research that has the objective to model and quantify team dynamics and teamwork within NPP control room crews for risk informed applications, thereby improving the technical basis of HRA, which improves the risk-informed approach the NRC uses to regulate the U.S. commercial nuclear industry.

Jeffrey C. JOe; Ronald L. Boring

2014-06-01T23:59:59.000Z

292

A HIRARC model for safety and risk evaluation at a hydroelectric power generation plant  

Science Journals Connector (OSTI)

Abstract There are many formal techniques for the systematic analysis of occupational safety and health in general, and risk analysis in particular, for power generation plants at hydroelectric power stations. This study was initiated in order to create a HIRARC model for the evaluation of environmental safety and health at a hydroelectric power generation plant at Cameron Highlands in Pahang, Malaysia. The HIRARC model was used to identify the primary and secondary hazards which may be inherent in the system which were determined as a serious threat for plant operation and maintenance. The primary tools of the model consisted of, generic check-lists, work place inspection schemes which included task observation and interview, safety analysis as well as accident and incident investigation. For risk assessment, the Likert scale was complemented by the severity matrix analysis in order to determine the probability and extent of safety and health at the study power generation plant. These were used to identify and recommend control measures which included engineering and administrative aspects as well as the use of personal protective equipment (PPE). A total of forty-one important hazard items were identified in the system at target power generation plant. These hazards were mainly identified by means of checklists which were sourced from literature and subsequently customized for the current purpose. Risk assessment was conducted by initially classifying the hazards into three levels such as Low, Medium and High. Generally 66% of the hazards identified were at low risk, 32% at medium and 2% at high risk. This indicated that there was sufficient awareness and commitment to safety and health at the study power station. Meanwhile the Power Station was also certified by MS 1722:2005, OHSAS 18001, MS ISO 14001:2004, MS ISO 9001:2000 and scheduled waste regulation 2005 which give credibility to the current study in creating a working model which may find widespread application in the future.

A.M. Saedi; J.J. Thambirajah; Agamuthu Pariatamby

2014-01-01T23:59:59.000Z

293

Risk Measures Constituting Risk Metrics for Decision Making in the Chemical Process Industry  

E-Print Network (OSTI)

and losses should entail the analysis of the overall results of all possible incident scenarios. Value-at-Risk (VaR) is most suitable as an overall measure for many scenarios and for large number of portfolio assets. FN-curves and F$-curves can be correlated...

Prem, Katherine

2012-02-14T23:59:59.000Z

294

On the political determinants of sovereign risk: Evidence from a Markov-switching vector autoregressive model for Argentina  

Science Journals Connector (OSTI)

Abstract While empirical sovereign credit risk models have portrayed default as driven mainly by economic and financial risk factors, this investigation addresses the relative importance of political risk that the empirical literature has often overlooked. A Markov-switching vector autoregressive model is applied to data from the Republic of Argentina to assess the timing and thresholds of the dynamic system. Results show the significance of political factors in explaining sovereign risk for Argentina, and demonstrate the feasibility and value of the proposed methodology.

Pedro Sottile

2013-01-01T23:59:59.000Z

295

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

296

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.

297

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

298

Biokinetic and dosimetric modelling in the estimation of radiation risks from internal  

Science Journals Connector (OSTI)

The International Commission on Radiological Protection (ICRP) has developed biokinetic and dosimetric models that enable the calculation of organ and tissue doses for a wide range of radionuclides. These are used to calculate equivalent and effective dose coefficients (dose in Sv Bq?1 intake), considering occupational and environmental exposures. Dose coefficients have also been given for a range of radiopharmaceuticals used in diagnostic medicine. Using equivalent and effective dose, exposures from external sources and from different radionuclides can be summed for comparison with dose limits, constraints and reference levels that relate to risks from whole-body radiation exposure. Risk estimates are derived largely from follow-up studies of the survivors of the atomic bombings at Hiroshima and Nagasaki in 1945. New dose coefficients will be required following the publication in 2007 of new ICRP recommendations. ICRP biokinetic and dosimetric models are subject to continuing review and improvement, although it is arguable that the degree of sophistication of some of the most recent models is greater than required for the calculation of effective dose to a reference person for the purposes of regulatory control. However, the models are also used in the calculation of best estimates of doses and risks to individuals, in epidemiological studies and to determine probability of cancer causation. Models are then adjusted to best fit the characteristics of the individuals and population under consideration. For example, doses resulting from massive discharges of strontium-90 and other radionuclides to the Techa River from the Russian Mayak plutonium plant in the early years of its operation are being estimated using models adapted to take account of measurements on local residents and other population-specific data. Best estimates of doses to haemopoietic bone marrow, in utero and postnatally, are being used in epidemiological studies of radiation-induced leukaemia. Radon-222 is the one internal emitter for which control of exposure is based on direct information on cancer risks, with extensive information available on lung cancer induction by radon progeny in mines and consistent data on risks in homes. The dose per unit 222Rn exposure can be calculated by comparing lung cancer risk estimates derived for 222Rn exposure and for external exposure of the Japanese survivors. Remarkably similar values are obtained by this method and by calculations using the ICRP model of the respiratory tract, providing good support for model assumptions. Other informative comparisons with risks from external exposure can be made for Thorotrast-induced liver cancer and leukaemia, and radium-induced bone cancer. The bone-seeking alpha emitters, plutonium-239 and radium isotopes, are poorer leukaemogens than predicted by models. ICRP dose coefficients are published as single values without consideration of uncertainties. However, it is clear that full consideration of uncertainties is appropriate when considering best estimates of doses and risks to individuals or specific population groups. An understanding of the component uncertainties in the calculation of dose coefficients can be seen as an important goal and should help inform judgements on the control of exposures. The routine consideration of uncertainties in dose assessments, if achievable, would be of questionable value when doses are generally maintained at small fractions of limits.

John Harrison

2009-01-01T23:59:59.000Z

299

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.

300

Point-trained models in a grid environment: Transforming a potato late blight risk forecast for use with the National Digital Forecast Database  

E-Print Network (OSTI)

Point-trained models in a grid environment: Transforming a potato late blight risk forecast for use have come to expect. Potato late blight risk models were some of the earliest weather-based models. This analysis compares two types of potato late blight risk models that were originally trained on location

Douches, David S.

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Crosscutting Research Sensors and Controls Project Portfolio  

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

in innovative sensor and control technology, advanced materials, revolutionary modeling and simulation tools, and university training and research that promote the...

302

2014 SunShot Initiative Portfolio Book: Appendix of SunShot Funding Programs  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014. This section provides an index list of every active funding program (also known as funding opportunity announcement, or “FOA”) within the SunShot portfolio.

303

Multi-State Physics Models of Aging Passive Components in Probabilistic Risk Assessment  

SciTech Connect

Multi-state Markov modeling has proved to be a promising approach to estimating the reliability of passive components - particularly metallic pipe components - in the context of probabilistic risk assessment (PRA). These models consider the progressive degradation of a component through a series of observable discrete states, such as detectable flaw, leak and rupture. Service data then generally provides the basis for estimating the state transition rates. Research in materials science is producing a growing understanding of the physical phenomena that govern the aging degradation of passive pipe components. As a result, there is an emerging opportunity to incorporate these insights into PRA. This paper describes research conducted under the Risk-Informed Safety Margin Characterization Pathway of the Department of Energy’s Light Water Reactor Sustainability Program. A state transition model is described that addresses aging behavior associated with stress corrosion cracking in ASME Class 1 dissimilar metal welds – a component type relevant to LOCA analysis. The state transition rate estimates are based on physics models of weld degradation rather than service data. The resultant model is found to be non-Markov in that the transition rates are time-inhomogeneous and stochastic. Numerical solutions to the model provide insight into the effect of aging on component reliability.

Unwin, Stephen D.; Lowry, Peter P.; Layton, Robert F.; Heasler, Patrick G.; Toloczko, Mychailo B.

2011-03-13T23:59:59.000Z

304

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

305

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

306

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

307

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

308

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

309

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

E-Print Network (OSTI)

R. and G. Barbose. 2008. Renewables Portfolio Standards inwww.cpuc.ca.gov/PUC/energy/Renewables/index.htm (accessed2008. Deploying Renewables - Principles for Effective

Wiser, Ryan

2010-01-01T23:59:59.000Z

310

Energy Portfolio Standards and the Promotion of Combined Heat and Power (CHP) White Paper, April 2009  

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

EPA CHP Partnership’s white paper provides information on energy portfolio standards and how they promote combined heat and power.

311

2011 CHP/Industrial Distributed Energy R&D Portfolio Review- Agenda  

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

Agenda for the Industrial Distributed Energy R&D Portfolio Review meeting in Washington, D.C. on June 1-2, 2011.

312

E-Print Network 3.0 - advanced materials portfolio Sample Search...  

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

audition or portfolio review... of Information and Admission Decisions Once you have registered for the appropriate audition or ... Source: Murphy, Robert F. - Department of...

313

Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges Across U.S. Industry  

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

Portfolio of projects focused on investments in high-impact, crosscutting opportunities that provide significant energy savings and carbon reductions across a broad industrial base

314

Information modelling for variation risk management during product and process design  

Science Journals Connector (OSTI)

Different methodologies and tools are available for the management and analysis of system dependability, safety and quality. Failure mode and effect analysis (FMEA) is a widely used quality improvement and risk assessment tool in manufacturing. Accumulated information about design and process failures recorded through FMEA provides very valuable knowledge for future product and process design, (Teoh and Case 2004). However, the way the knowledge is captured poses considerable difficulties for reuse. This research aims to contribute to the reuse of FMEA knowledge through a key characteristic (KC) approach. An information modelling for FMEA is proposed to facilitate the later reuse of the knowledge collected during an FMEA, and then it is integrated with the KC model. The models are represented in the class diagrams in the format of unified modelling language, (Booch, Rumbaugh and Jacobson 1999). The FMEAâ??KC model allows for management of KCs, reusing the knowledge about causalities and relations between KCs, and validation of design robustness using FMEA knowledge.

Alaa Hassan; Jean-Yves Dantan; Ali Siadat

2007-01-01T23:59:59.000Z

315

A competing risk model for the reliability of cylinder liners in marine Diesel engines  

Science Journals Connector (OSTI)

In this paper, a competing risk model is proposed to describe the reliability of the cylinder liners of a marine Diesel engine. Cylinder liners presents two dominant failure modes: wear degradation and thermal cracking. The wear process is described through a stochastic process, whereas the failure time due to the thermal cracking is described by the Weibull distribution. The use of the proposed model allows performing goodness-of-fit test and parameters estimation on the basis of both wear and failure data. Moreover, it enables reliability estimates of the state of the liners to be obtained and the hierarchy of the failure mechanisms to be determined for any given age and wear level of the liner. The model has been applied to a real data set: 33 cylinder liners of Sulzer RTA 58 engines, which equip twin ships of the Grimaldi Group. Estimates of the liner reliability and of other quantities of interest under the competing risk model are obtained, as well as the conditional failure probability and mean residual lifetime, given the survival age and the accumulated wear. Furthermore, the model has been used to estimate the probability that a liner fails due to one of the failure modes when both of these modes act.

D. Bocchetti; M. Giorgio; M. Guida; G. Pulcini

2009-01-01T23:59:59.000Z

316

Identifying At-Risk Employees: Modeling Psychosocial Precursors of Potential Insider Threats  

SciTech Connect

In many insider crimes, managers and other coworkers observed that the offenders had exhibited signs of stress, disgruntlement, or other issues, but no alarms were raised. Barriers to using such psychosocial indicators include the inability to recognize the signs and the failure to record the behaviors so that they can be assessed. A psychosocial model was developed to assess an employee's behavior associated with an increased risk of insider abuse. The model is based on case studies and research literature on factors/correlates associated with precursor behavioral manifestations of individuals committing insider crimes. To test the model's agreement with human resources and management professionals, we conducted an experiment with positive results. If implemented in an operational setting, the model would be part of a set of management tools for employee assessment to identify employees who pose a greater insider threat.

Greitzer, Frank L.; Kangas, Lars J.; Noonan, Christine F.; Dalton, Angela C.; Hohimer, Ryan E.

2012-01-04T23:59:59.000Z

317

A Review of NCI's Extramural Grant Portfolio: Identifying Opportunities for Future Research in Genes and Environment in Cancer  

Science Journals Connector (OSTI)

...Century A Review of NCI's Extramural Grant Portfolio: Identifying Opportunities for...in cancer, we analyzed the extramural grant portfolio of the National Cancer Institute...2009. Publications attributed to selected grants were also evaluated. Results: From the...

Armen A. Ghazarian; Naoko I. Simonds; Kelly Bennett; Camilla B. Pimentel; Gary L. Ellison; Elizabeth M. Gillanders; Sheri D. Schully; Leah E. Mechanic

2013-04-01T23:59:59.000Z

318

Estimates of Twenty-First-Century Flood Risk in the Pacific Northwest Based on Regional Climate Model Simulations  

Science Journals Connector (OSTI)

Results from a regional climate model simulation show substantial increases in future flood risk (2040–69) in many Pacific Northwest river basins in the early fall. Two primary causes are identified: 1) more extreme and earlier storms and 2) ...

Eric P. Salathé Jr.; Alan F. Hamlet; Clifford F. Mass; Se-Yeun Lee; Matt Stumbaugh; Richard Steed

2014-10-01T23:59:59.000Z

319

Parametric modeling of transitioning cyclone’s wind fields for risk assessment studies in the western North Pacific  

Science Journals Connector (OSTI)

Probabilistic risk assessment systems for tropical cyclone hazard rely on large ensembles of model simulations to characterize cyclones tracks, intensities and the extent of the associated damaging winds. Given computational costs the wind field ...

T. Loridan; S. Khare; E. Scherer; M. Dixon; E. Bellone

320

A Risk-based Optimization Modeling Framework for Mitigating Fire Events for Water and Fire Response Infrastructures  

E-Print Network (OSTI)

of the Generalized Barrois Model Fitted to Observations in Finland (Tillander and Keski-Rahkonen 2002)???????? ? 85 4.2 Annual Frequency Distribution of Wind Direction ??????? . 95 4.3 Highest Risk Scenarios for Micropolis Generated from Monte Carlo...

Kanta, Lufthansa Rahman

2011-02-22T23:59:59.000Z

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Wildfire Risk Mapping over the State of Mississippi: Land Surface Modeling Approach  

SciTech Connect

Three fire risk indexes based on soil moisture estimates were applied to simulate wildfire probability over the southern part of Mississippi using the logistic regression approach. The fire indexes were retrieved from: (1) accumulated difference between daily precipitation and potential evapotranspiration (P-E); (2) top 10 cm soil moisture content simulated by the Mosaic land surface model; and (3) the Keetch-Byram drought index (KBDI). The P-E, KBDI, and soil moisture based indexes were estimated from gridded atmospheric and Mosaic-simulated soil moisture data available from the North American Land Data Assimilation System (NLDAS-2). Normalized deviations of these indexes from the 31-year mean (1980-2010) were fitted into the logistic regression model describing probability of wildfires occurrence as a function of the fire index. It was assumed that such normalization provides more robust and adequate description of temporal dynamics of soil moisture anomalies than the original (not normalized) set of indexes. The logistic model parameters were evaluated for 0.25 x0.25 latitude/longitude cells and for probability representing at least one fire event occurred during 5 consecutive days. A 23-year (1986-2008) forest fires record was used. Two periods were selected and examined (January mid June and mid September December). The application of the logistic model provides an overall good agreement between empirical/observed and model-fitted fire probabilities over the study area during both seasons. The fire risk indexes based on the top 10 cm soil moisture and KBDI have the largest impact on the wildfire odds (increasing it by almost 2 times in response to each unit change of the corresponding fire risk index during January mid June period and by nearly 1.5 times during mid September-December) observed over 0.25 x0.25 cells located along the state of Mississippi Coast line. This result suggests a rather strong control of fire risk indexes on fire occurrence probability over this region.

Cooke, William H. [Mississippi State University (MSU); Mostovoy, Georgy [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Jolly, W. Matt [USDA Forest Service

2012-01-01T23:59:59.000Z

322

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

323

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

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

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

324

2014 SunShot Initiative Portfolio Book: Tackling Challenges in Solar Energy  

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

The 2014 SunShot Initiative Portfolio Book outlines the progress towards the goals outlined in the SunShot Vision Study. Contents include overviews of each of SunShot’s five subprogram areas, as well as a description of every active project in the SunShot’s project portfolio as of May 2014.

325

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

E-Print Network (OSTI)

fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1995 Major Subject: Educational Curriculum k Instruction THE EFFECTIVENESS OF PORTFOLIOS IN ASSESSING STUDENTS' CONNECTIONS BETWEEN MATHEMATICAL SYMBOLS AND MATHEMATICAL CONCEPTS.... Dockweiler (Mender) Gonzalo Garcia, Jr. (Member) Donna Wiseman (Head of Department) August 1995 Major Subject: Educational Curriculum & Instruction ABSTRACT The EfFectiveness of Portfolios in Assessing Students' Connections Between Mathematical...

McGinnis, Leslie Grable

1995-01-01T23:59:59.000Z

326

Discussion Paper/Document d'analyse The Carry Trade, Portfolio Diversification,  

E-Print Network (OSTI)

portfolio, to address the underlying motivation for capital outflows from Japan over the past ten years to diversification. Furthermore, given that considerable `home bias' remains in Japanese households' portfolios, the results suggest that capital outflows from households, largely driven by diversification, may continue

327

Object-oriented process modeling for material-at-risk estimation.  

SciTech Connect

Nuclear analytical chemistry/materials characterization operations at Los Alamos support many programs related to national security. These operations work with a wide range of material masses (microgram to tens of grams) and several forms (metal, oxide, and liquid). We have used detailed flowsheets for the chemistry and characterization functions to construct a process model of the facility operations. The model, constructed with the commercially available package ExtendTMt,r acks material amounts and forms through the process of sample receiving through data return. The model calculates equipment utilization, throughput, and turnaroundtime, as well as the material-at-risk and source term as a function of time for facility safety analyses. We see that the source-term is highly dependent on the material holding time, as expected; thus, proper material management policies are essential to operating a facility within regulatory guidelines regarding material-at-risk. In addition, we see that segregation of operations based on the material used can be beneficial to the overall operations.

Kornreich, D. E. (Drew E.); Farman, Richard F.

2002-01-01T23:59:59.000Z

328

Modelling the media: the transmission of risk information in the British quality press  

Science Journals Connector (OSTI)

......is a difference in risk reporting between papers with different 'political orientations...decided to compare risk reporting between...was influenced by political orientation. The...reporting most risk information, or...second dimension, the political orientation effect......

L.J. FREWER; M.M. RAATS; R. SHEPHERD

1993-01-01T23:59:59.000Z

329

Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment  

E-Print Network (OSTI)

of that leakage event. Acceptable risks from CO 2 or brinewhether the leakage risk is acceptable. If the CLR is above

Oldenburg, Curtis M.

2009-01-01T23:59:59.000Z

330

STOCHASTIC MODELS OF SPACE RADIATION DNA DAMAGE RESPONSES AND CANCER RISKS  

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

STOCHASTIC MODELS OF SPACE RADIATION DNA DAMAGE STOCHASTIC MODELS OF SPACE RADIATION DNA DAMAGE RESPONSES AND CANCER RISKS Francis A. Cucinotta 1 , Janice M. Pluth 2 , Artem Ponomarev 3 , Shaowen Hu 3 , Jennifer Anderson 4 , Jane Harper 4 , and Peter O'Neill 4 1 NASA Lyndon B. Johnson Space Center, Houston TX, USA; 2 Lawrence Berkeley National Laboratory, Berkeley CA, USA; 3 U.S.R.A., Division of Life Sciences, Houston TX, USA; 4 MRC Radiation and Genome Stability Unit, Harwell, Didcot, UK Abstract: On space missions astronauts are exposed to a steady flux of galactic cosmic rays (GCR) consisting of high-energy protons and heavy ions. In the next decades long- term missions of up to 200 days to the Earth's moon and 1100 days to Mars are planed by NASA where cumulative doses will not be low (>100 mSv) albeit dose-

331

Does political risk affect the scope of the expansion abroad? Evidence from Spanish \\{MNEs\\}  

Science Journals Connector (OSTI)

This study examines the effect of institutions on the strategy of international diversification and on the relationships between political risk and the scope of internationalisation. Drawing on the Uppsala model but also on diversification and portfolio theory, I examine the behaviour of Spanish Multinational Enterprises (MNEs). Using negative binomial regression on a sample of 166 MNEs, I find that firms only partially follow the Uppsala model and that political capabilities play a key role in their internationalisation strategy. An interesting debate arises over the convenience of the reliance that firms show on corrupted host countries in both the short and the long term. A positive relationship between liquidity, size and unrelated diversification with the scope of internationalisation is also demonstrated, while a negative one is discovered for the age of the company with the dependent variable.

Alfredo Jiménez

2010-01-01T23:59:59.000Z

332

New approach to risk assessment of central neurotoxicity induced by 1-bromopropane using animal models  

Science Journals Connector (OSTI)

1-Bromopropane (1-BP) induces central as well as peripheral neurotoxicity in workers. We have reported the dysfunction of feedback inhibition (i.e. disinhibition) in the rat hippocampus following exposure to 1-BP at concentrations of 1500 and 700 ppm. For risk assessment, we studied disinhibition of the CA1 region and the dentate gyrus in hippocampal slices obtained from control and 1-BP-exposed (200 and 400 ppm) rats, and determined the bromide concentration in the brain. Granule cell disinhibition was observed after inhalation exposure to 400 ppm 1-BP for 8 or 12 weeks, suggesting that the dentate gyrus was more sensitive than the CA1 region to 1-BP exposure. The lowest observed adverse effect level and the no observed adverse effect level of 1-BP inhalation for disinhibition were 400 and 200 ppm, respectively. The concentration of bromides in the brain increased from 2.9 ± 1.5 to 85.0 ± 25.4 ?g/g-wet brain at week 4 of 400 ppm inhalation, and no further increase was observed even when the exposure period was extended for up to 12 weeks. The relationship between total dose (ppm-h) and the exposure concentration of 1-BP was investigated at different exposure concentrations. Disinhibition and death by inhalation depended on the total dose, and their occurrence appeared earlier as the exposure concentration increased. The results demonstrated a novel model for risk assessment of central neurotoxicity induced by 1-BP inhalation.

Yukiko Fueta; Toru Ishidao; Susumu Ueno; Yasuhiro Yoshida; Naoki Kunugita; Hajime Hori

2007-01-01T23:59:59.000Z

333

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

334

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

335

Stochastic particle models and methods in risk analysis P. Del Moral (INRIA research team ALEA)  

E-Print Network (OSTI)

methods Ilustrations Security of offshore platforms in extreme see conditions Nuclear plant security efficiency, food risk analysis, bacterial propagations. System reliability : production chains, offshore, airport and flight collision risks. Nuclear plant security : radioactivity storage, nuclear tank cracks

Del Moral , Pierre

336

A framework for dynamic safety and risk management modeling in complex engineering systems  

E-Print Network (OSTI)

Almost all traditional hazard analysis or risk assessment techniques, such as failure modes and effect analysis (FMEA), fault tree analysis (FTA), and probabilistic risk analysis (PRA) rely on a chain-of-event paradigm of ...

Dulac, Nicolas, 1978-

2007-01-01T23:59:59.000Z

337

Towards a UML Profile for Model-Based Risk Siv Hilde Houmb1  

E-Print Network (OSTI)

complementary risk assessment methods like HazOp1 [10], FTA2 [5], FMEA3 [3], Markov analysis 1 Hazard

Stølen, Ketil

338

Multiscale modelling and nonlinear finite element analysis as clinical tools for the assessment of fracture risk  

Science Journals Connector (OSTI)

...accurately predict fracture risk they must also account for age...monitoring the long-term fracture risk of-patients. 6. The multiscale...approach to predict fracture risk is to combine accurate loading...resolving bone microstructure in acceptable amounts of time and computer...

2010-01-01T23:59:59.000Z

339

Using the social ecological model to understand the contextual factors associated with HIV risk in commercial sex workers at high risk for contracting HIV  

E-Print Network (OSTI)

and the Perceived Risk of Contracting HIV in a Drug Usingsex workers at high risk for contracting HIV A dissertationsex workers at high risk for contracting HIV by Sandra Erika

Larios, Sandra Erika

2008-01-01T23:59:59.000Z

340

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).

Note: This page contains sample records for the topic "modeling portfolio risk" 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 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.

342

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

343

Achieving Rapid Transformation of Utility Resource Portfolios by Developing Markets for Utility Strategic PV  

Science Journals Connector (OSTI)

When solar PV is strategically deployed by utilities, considering issues of location, scale, orientation ... PV can play a key role in driving utilities to design strong, mixed resource portfolios, ... s potentia...

Jill K. Cliburn

2009-01-01T23:59:59.000Z

344

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

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

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

345

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

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

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

346

EPA ENERGY STAR Webinar: The Federal Guiding Principles Checklist in ENERGY STAR Portfolio  

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

Hosted by the EPA, this webinar will focus on how to use the ENERGY STAR measurement and tracking tool, Portfolio Manager, to help ensure compliance with the Guiding Principles for High Performance Sustainable Buildings.

347

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

E-Print Network (OSTI)

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

Wiser, Ryan

2008-01-01T23:59:59.000Z

348

CAREER PLANS RESUMES COVER LETTERS JOB SEARCH STRATEGIES PORTFOLIOS TIPS The 2010-2011  

E-Print Network (OSTI)

CAREER PLANS · RESUMES · COVER LETTERS · JOB SEARCH STRATEGIES · PORTFOLIOS · TIPS The 2010 Strategies .......................................... 16 · Resume Preparation............................................ 17 · Sample Resumes ................................................ 18 · Cover Letters

Kaminsky, Werner

349

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

350

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

351

OR PRACTICE---R&D Project Portfolio Analysis for the Semiconductor Industry  

Science Journals Connector (OSTI)

We introduce a decision-support framework for the research and development (R&D) portfolio selection problem faced by a major U.S. semiconductor manufacturer. R&D portfolio selection is of critical importance to high-tech operations such as semiconductors ... Keywords: R&D project interdependency, R&D/project selection, multiperiod horizon, organizational studies/strategy, programming/stochastic, scenario generation, semiconductor industry

Banu Gemici-Ozkan; S. David Wu; Jeffrey T. Linderoth; Jeffry E. Moore

2010-11-01T23:59:59.000Z

352

Forecasting the daily outbreak of topic-level political risk from social media using hidden Markov model-based techniques  

Science Journals Connector (OSTI)

Abstract Nowadays, as an arena of politics, social media ignites political protests, so analyzing topics discussed negatively in the social media has increased in importance for detecting a nation's political risk. In this context, this paper designs and examines an automatic approach to forecast the daily outbreak of political risk from social media at a topic level. It evaluates the forecasting performances of topic features, investigated among the previous works that analyze social media data for politics, hidden Markov model (HMM)-based techniques, widely used for the anomaly detection with time-series data, and detection models, into which the topic features and the detection techniques are combined. When applied to South Korea's Web forum, Daum Agora, statistical comparisons with the constraints of false positive rate of political risk, and eventually the predictive governance benefits the people.

Jong Hwan Suh

2014-01-01T23:59:59.000Z

353

Bayesian models for elevated disease risk due to exposure to uranium mine and mill waste on the Navajo Nation  

E-Print Network (OSTI)

ForReview Only Bayesian models for elevated disease risk due to exposure to uranium mine and mill of Pharmacy, Community Environmental Health Program Keywords: abandoned uranium mines, conditionally specified to ex- posure to uranium mine and mill waste on the Navajo Nation Glenn A. Stark University of New

Huerta, Gabriel

354

Essays in financial economics and risk management  

E-Print Network (OSTI)

criterion can be implemented by exploiting the fat tail property of asset returns and the statistical theory of extremes. We document how such portfolios would perform during the Asian Crisis, a stern test for a downside-risk constraint, as the Asian Crisis..., given initial wealth Wt, an investor makes his optimal choice of both risk-free and risky assets to maximize his next period?s wealth. Let bt denotes the optimal amount of borrowing1 at time t, Xjt is the optimal amount of risky asset j that the investor...

Zou, Lin

2009-05-15T23:59:59.000Z

355

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

356

ITP Energy Intensive Processes: Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges Across U.S. Industry  

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

Portfolio of projects focused on investments in high-impact, crosscutting opportunities that provide significant energy savings and carbon reductions across a broad industrial base

357

Application of probabilistic safety assessment models to risk-based inspection of piping  

SciTech Connect

From the beginning, one of the most useful applications of Probabilistic Safety Assessment (PSA) is its use in evaluating the risk importance of changes to plant design, operations, or other plant conditions. Risk importance measures the impact of a change on the risk. Risk is defined as a combination of the likelihood of failure and consequence of the failure. The consequence can be safety system unavailability, core melt frequency, early release, or various other consequence measures. The goal in this PSA application is to evaluate the risk importance of an ISI process, as applied to plant piping systems. Two approaches can be taken in this evaluation: Current PSA Approach or the Blended Approach. Both are discussed here.

Chapman, J.

1996-12-01T23:59:59.000Z

358

Evaluation of risk from acts of terrorism :the adversary/defender model using belief and fuzzy sets.  

SciTech Connect

Risk from an act of terrorism is a combination of the likelihood of an attack, the likelihood of success of the attack, and the consequences of the attack. The considerable epistemic uncertainty in each of these three factors can be addressed using the belief/plausibility measure of uncertainty from the Dempster/Shafer theory of evidence. The adversary determines the likelihood of the attack. The success of the attack and the consequences of the attack are determined by the security system and mitigation measures put in place by the defender. This report documents a process for evaluating risk of terrorist acts using an adversary/defender model with belief/plausibility as the measure of uncertainty. Also, the adversary model is a linguistic model that applies belief/plausibility to fuzzy sets used in an approximate reasoning rule base.

Darby, John L.

2006-09-01T23:59:59.000Z

359

Are renewables portfolio standards cost-effective emission abatement policy?  

SciTech Connect

Renewables portfolio standards (RPS) could be an important policy instrument for 3P and 4P control. The authors examine the costs of renewable power, accounting for the federal production tax credit, the market value of a renewable credit, and the value of producing electricity without emissions of SO{sub 2}, NOx, mercury, and CO{sub 2}. The focus is on Texas, which has a large RPS and is the largest U.S. electricity producer and one of the largest emitters of pollutants and CO{sub 2}. The private and social costs of wind generation in an RPS is compared with the current cost of fossil generation, accounting for the pollution and CO{sub 2} emissions. It was found that society paid about 5.7 cents/kWh more for wind power, counting the additional generation, transmission, intermittency, and other costs. The higher cost includes credits amounting to 1.1 cents/kWh in reduced SO{sub 2}, NOx, and Hg emissions. These pollution reductions and lower CO{sub 2} emissions could be attained at about the same cost using pulverized coal (PC) or natural gas combined cycle (NGCC) plants with carbon capture and sequestration (CCS); the reductions could be obtained more cheaply with an integrated coal gasification combined cycle (IGCC) plant with CCS. 35 refs., 7 tabs.

Katerina Dobesova; Jay Apt; Lester B. Lave [Carnegie Mellon University, Pittsburgh, PA (United States). Carnegie Mellon Electricity Industry Center

2005-11-15T23:59:59.000Z

360

Illinois SB 1987: the Clean Coal Portfolio Standard Law  

SciTech Connect

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

NONE

2009-01-15T23:59:59.000Z

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Second cancer incidence risk estimates using BEIR VII models for standard and complex external beam radiotherapy for early breast cancer  

SciTech Connect

Purpose: To compare organ specific cancer incidence risks for standard and complex external beam radiotherapy (including cone beam CT verification) following breast conservation surgery for early breast cancer.Method: Doses from breast radiotherapy and kilovoltage cone beam CT (CBCT) exposures were obtained from thermoluminescent dosimeter measurements in an anthropomorphic phantom in which the positions of radiosensitive organs were delineated. Five treatment deliveries were investigated: (i) conventional tangential field whole breast radiotherapy (WBRT), (ii) noncoplanar conformal delivery applicable to accelerated partial beast irradiation (APBI), (iii) two-volume simultaneous integrated boost (SIB) treatment, (iv) forward planned three-volume SIB, and (v) inverse-planned three volume SIB. Conformal and intensity modulated radiotherapy methods were used to plan the complex treatments. Techniques spanned the range from simple methods appropriate for patient cohorts with a low cancer recurrence risk to complex plans relevant to cohorts with high recurrence risk. Delineated organs at risk included brain, salivary glands, thyroid, contralateral breast, left and right lung, esophagus, stomach, liver, colon, and bladder. Biological Effects of Ionizing Radiation (BEIR) VII cancer incidence models were applied to the measured mean organ doses to determine lifetime attributable risk (LAR) for ages at exposure from 35 to 80 yr according to radiotherapy techniques, and included dose from the CBCT imaging. Results: All LAR decreased with age at exposure and were lowest for brain, thyroid, liver, and bladder (<0.1%). There was little dependence of LAR on radiotherapy technique for these organs and for colon and stomach. LAR values for the lungs for the three SIB techniques were two to three times those from WBRT and APBI. Uncertainties in the LAR models outweigh any differences in lung LAR between the SIB methods. Constraints in the planning of the SIB methods ensured that contralateral breast doses and LAR were comparable to WBRT, despite their added complexity. The smaller irradiated volume of the ABPI plan contributed to a halving of LAR for contralateral breast compared with the other plan types. Daily image guided radiotherapy (IGRT) for a left breast protocol using kilovoltage CBCT contributed <10% to LAR for the majority of organs, and did not exceed 22% of total organ dose. Conclusions: Phantom measurements and calculations of LAR from the BEIR VII models predict that complex breast radiotherapy techniques do not increase the theoretical risk of second cancer incidence for organs distant from the treated breast, or the contralateral breast where appropriate plan constraints are applied. Complex SIB treatments are predicted to increase the risk of second cancer incidence in the lungs compared to standard whole breast radiotherapy; this is outweighed by the threefold reduction in 5 yr local recurrence risk for patients of high risk of recurrence, and young age, from the use of radiotherapy. APBI may have a favorable impact on risk of second cancer in the contralateral breast and lung for older patients at low risk of recurrence. Intensive use of IGRTincreased the estimated values of LAR but these are dominated by the effect of the dose from the radiotherapy, and any increase in LAR from IGRT is much lower than the models' uncertainties.

Donovan, E. M.; James, H.; Bonora, M.; Yarnold, J. R.; Evans, P. M. [Joint Department of Physics, Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Sutton SM2 5PT (United Kingdom); Physics Department, Ipswich Hospital NHS Foundation Trust, Ipswich IP4 5PD (United Kingdom); Department of Academic Radiotherapy, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton SM2 5PT, United Kingdom and School of Radiotherapy, University of Milan, Milan 20122 (Italy); Department of Academic Radiotherapy, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton SM2 5PT (United Kingdom); Centre for Vision Speech and Signal Processing, University of Surrey, Guildford GU2 7XH (United Kingdom)

2012-10-15T23:59:59.000Z

362

Challenges, Benefits, & Risks Associated with Integrated Project Delivery and Building Information Modeling  

E-Print Network (OSTI)

with IPD and BIM to remain competitive in the industry. Technology is allowing for the design and construction process to become more efficient and integrated, which reduces wasteful spending. Architects/Engineers must also carefully consider the risks...

Manning, Ryan T.

2012-12-14T23:59:59.000Z

363

An Information Systems Security Risk Assessment Model Under Dempster- Schafer Theory of Belief Functions  

E-Print Network (OSTI)

This study develops an alternative methodology for the risk analysis of information systems security (ISS), an evidential reasoning approach under the Dempster-Shafer theory of belief functions. The approach has the ...

Sun, Lili; Srivastava, Rajendra P.; Mock, Theodore J.

2006-01-01T23:59:59.000Z

364

A model-based fuzzy set-OWA approach for integrated air pollution risk assessment  

Science Journals Connector (OSTI)

This paper presents a fuzzy set—ordered weighted averaging (FSOWA) approach for the integrated health risk assessment associated with multiple air pollution factors and evaluation criteria. A number of ... the sa...

Baozhen Wang; Zhi Chen

2014-12-01T23:59:59.000Z

365

[en] RISK ANALYSIS OF NON-LINEAR PORTFOLIOS: AN APPLICATION TO THE OIL AND ENERGY MARKET.  

E-Print Network (OSTI)

??[pt] Houve um salto de conhecimento na área de derivativos nos anos 70, com destaque para a divulgação das pesquisas de Fisher Black, Myron Scholes… (more)

JOANA GOMES AZARA DE OLIVEIRA

2014-01-01T23:59:59.000Z

366

2009 Technical Risk and Uncertainty Analysis of the U.S. Department of Energy's Solar Energy Technologies Program Concentrating Solar Power and Photovoltaics R&D  

SciTech Connect

The U.S. Department of Energy (DOE) Solar Energy Technologies Program (SETP) conducted a 2009 Technical Risk and Uncertainty Analysis to better assess its cost goals for concentrating solar power (CSP) and photovoltaic (PV) systems, and to potentially rebalance its R&D portfolio. This report details the methodology, schedule, and results of this technical risk and uncertainty analysis.

McVeigh, J.; Lausten, M.; Eugeni, E.; Soni, A.

2010-11-01T23:59:59.000Z

367

A comparative study of feed-in tariff and renewable portfolio standard policy in renewable energy industry  

Science Journals Connector (OSTI)

Abstract By establishing a two-stage model in which a monopolization firm first chooses R&D input and then the quantity of energy, this paper compares the different effects of two regulatory policies: feed-in tariff (FIT) and renewable portfolio standard (PRS). The results show that FIT is more efficient than RPS to increase the quantity of renewable energy (installed capacity) and to stimulate the R&D input to reduce costs. And RPS policy is more efficient to reduce the carbon emissions and to improve the consumer surplus. Apart from existing findings, we cannot obtain the accurate conclusion about the effects of social welfare under the two policies. The effects of two policies on the social welfare heavily depend on the level of negative externality.

Peng Sun; Pu-yan Nie

2015-01-01T23:59:59.000Z

368

Developing a Portfolio of Sustainable Bioenergy Feedstock Production Systems for the US Midwest: A Research and Demonstration Project  

E-Print Network (OSTI)

Developing a Portfolio of Sustainable Bioenergy Feedstock Production Systems for the US Midwest a growing portion of our bioenergy feedstocks. While such second generation feedstocks show numerous agroecosystems. A portfolio approach is needed. Potential systems to be included in the bioenergy feedstock

Debinski, Diane M.

369

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

E-Print Network (OSTI)

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

Kammen, Daniel M.

370

4968 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 4, NOVEMBER 2013 Optimized FTR Portfolio Construction Based on the  

E-Print Network (OSTI)

markets, since it may restrict the amounts of some transactions and not allow others to take place4968 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 4, NOVEMBER 2013 Optimized FTR Portfolio rights (FTR) or congestion revenue rights portfolio for an FTR market participant given his as- sessment

Gross, George

371

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

372

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

373

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

374

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

375

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

376

Risks of Risk Decisions  

Science Journals Connector (OSTI)

...manuscript. 17. B. Fischhoff, P. Slovic, S. Lichtenstein, S. Read, B. Combs, Policy Sci...Perspectives on Benefit-Risk Decision Making...20. P. Slovic, B. Fischhoff, S. Lichtenstein, in So-cietal Risk Assessment: How Safe...

Chauncey Starr; Chris Whipple

1980-06-06T23:59:59.000Z

377

A structural risk-neutral model for pricing and hedging power derivatives  

E-Print Network (OSTI)

, producing price spikes. We focus on pricing and hedging electricity derivatives. The hedging instruments for futures prices and semi-explicit formulae for spread options and European options on electricity for- ward contracts. An analysis of the electricity price risk premium is provided showing the contribution of demand

378

Space Radiation Risk Limits and Earth-Moon-Mars Environmental Models  

E-Print Network (OSTI)

-term dose limits are used to prevent in-flight radiation sickness or death through restriction of the doses and skin dose limits, respectively. Large uncertainties exist in estimating the health risks of space radiation chiefly the understanding of the radiobiology of heavy ions, and dose-rate and dose protraction

Pringle, James "Jamie"

379

Essays on econometric modeling of subjective perceptions of risks in environment and human health  

E-Print Network (OSTI)

A large body of literature studies the issues of the option price and other ex-ante welfare measures under the microeconomic theory to valuate reductions of risks inherent in environment and human health. However, it does not offer a careful...

Nguyen, To Ngoc

2009-05-15T23:59:59.000Z

380

Modelling the media: the transmission of risk information in the British quality press  

Science Journals Connector (OSTI)

......that media exposure will increase fear of hazards relative...increasing due to the increase in technological processing...beverage; water, wine; juice; coffee; tea...daily broadsheet, or quality, papers in Britain were...instances of percentage increase in risk mentioned instances......

L.J. FREWER; M.M. RAATS; R. SHEPHERD

1993-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part II: Model application and results  

Science Journals Connector (OSTI)

The present model and methodology described in Part I of this work are applied to perform a comprehensive risk analysis of the dam-break flood of five reservoirs in the Haihe River ... The results indicate that t...

Zhengyin Zhou; Xiaoling Wang; Ruirui Sun; Xuefei Ao; Xiaopei Sun…

2014-06-01T23:59:59.000Z

382

Health Risk Appraisal Models for Mass Screening for Esophageal and Pharyngeal Cancer: An Endoscopic Follow-up Study of Cancer-Free Japanese Men  

Science Journals Connector (OSTI)

...Short Communication Research Articles Health Risk Appraisal Models for Mass Screening...Kumagai Satellite Clinic; 3 Mitsukoshi Health and Welfare Foundation; 4 Department...Development, National Institute of Public Health, Wako, Saitama, Japan; 6 Departments...

Akira Yokoyama; Yoshiya Kumagai; Tetsuji Yokoyama; Tai Omori; Hoichi Kato; Hiroyasu Igaki; Toshimasa Tsujinaka; Manabu Muto; Masako Yokoyama; Hiroshi Watanabe

2009-02-01T23:59:59.000Z

383

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

384

Renewables Portfolio Standard Contracts by Investor Owned Utilities July-September 2010 Quarterly Report  

E-Print Network (OSTI)

Renewables Portfolio Standard Contracts by Investor Owned Utilities July-September 2010 Quarterly / Resolution Date 36 projects / multiple developers 2010 Independent PV solar photovoltaic new 60 60 80 80 Dec-10 (e) SCE Service Territory 20 news release / 27-Jul-10 na / na CA Solar 10 / Solar Millenium 2008

385

City of Riverside Riverside Public Utilities Riverside Public Utilities (RPU) Renewable Portfolio Standard  

E-Print Network (OSTI)

Portfolio Standard (RPS) Procurement Plan for the California Renewable Energy Resource Act (SB X1-2) 1 and implement a Renewable Energy Resource Procurement Plan that complies with the RPS incorporated into Section procurement policy guidelines, while section 2 describes current and forecasted renewable resources

386

Small Buildings Small Portfolio Commercial Upstream Incentive Project: Regional Roll-Out- 2014 BTO Peer Review  

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

Presenter: Todd Levin, Argonne National Laboratory To cost-effectively spur energy efficiency improvements in the small buildings and small portfolios (SBSP) sector, this project is evaluating how to expand commercial upstream incentive approaches to a level that will be nationally replicated.

387

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

E-Print Network (OSTI)

optimizing the standard risk measure for efficient frontiers, that is: 1. 2. xT Qx. ... The set of Pareto optimal solutions is then a two-dimensional surface, which we call the Transaction Cost ..... Interfaces, 29(1):49–66, 1999. [5] M. J. Best and J.

2004-12-17T23:59:59.000Z

388

Risk Based Maintenance Optimization using Probabilistic Maintenance Quantification Models of Circuit Breaker  

E-Print Network (OSTI)

and maintenance techniques of the component. The model is based on the concept of representing the component life time by several deterioration stages. Inspection and maintenance is introduced at each stage and model parameters are defined. A sensitivity analysis...

Natti, Satish

2010-01-14T23:59:59.000Z

389

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

390

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

391

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

392

Pursuing Energy Efficiency as a Hedge against Carbon Regulatory Risks: Current Resource Planning Practices in the West  

SciTech Connect

Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6percent to almost 50percent of the preferred portfolio energy resources, and represents 22percent of all incremental resources in aggregate.

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-07-11T23:59:59.000Z

393

Pursuing Energy Efficiency as a Hedge against Carbon Regulatory Risks: Current Resource Planning Practices in the West  

SciTech Connect

Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6percent to almost 50percent of the preferred portfolio energy resources, and represents 22percent of all incremental resources in aggregate.

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-08-01T23:59:59.000Z

394

Risk assessment for the Waste Technologies Industries (WTI) hazardous waste incinerator facility (east Liverpool, Ohio). Volume 4. Atmospheric dispersion and deposition modeling of emissions. Draft report  

SciTech Connect

The report constitutes a comprehensive site-specific risk assessment for the WTI incineration facility located in East Liverpool, OH. Volume IV describes the air dispersion model used to estimate air concentrations and particle deposition, as well as the results of the modeling exercise.

NONE

1995-11-01T23:59:59.000Z

395

Microsoft PowerPoint - DSSE_Portfolio.pptx  

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

CSAT Data Systems Security CSAT Data Systems Security Data Systems Sciences & Engineering Group Computational Sciences & Engineering Division  Problem Statement: - Cost-effective protection of computing environments and assurance of information  Technical Approach: - Analysis of risk/cost/benefit to project - Engage subject matter experts - Employment of common-criteria certified COTS hardware and software so t a e - Tool chest of COTS and GOTS software to meet the specific data protection and reporting needs  Benefit: - Provide an environment meeting the appropriate security posture for a given project within the budget allocated for a given project within the budget allocated  Technology Readiness Level 9

396

A NEW TUNNEL RISK ASSESSMENT PROCEDURE INTEGRATING SMOKE DISPERSION AND EVACUATION MODELS  

E-Print Network (OSTI)

dispersion, Evacuation, Computer model, Tenability, HVAC INTRODUCTION Because tunnels are complex Systems on harmonisation of minimum safety standards to guarantee a high level of safety for thé users of tunnels

Boyer, Edmond

397

Quantitative Microbial Risk Assessment Models for Consumption of Raw Vegetables Irrigated with Reclaimed Water  

Science Journals Connector (OSTI)

...The practice of adding water to cut surfaces to keep...waxed boxes, wherein water pools. Feeding damage by insects...Agriculture methods Conservation of Natural Resources...Food Contamination Fresh Water virology Models, Biological...

Andrew J. Hamilton; Frank Stagnitti; Robert Premier; Anne-Maree Boland; Glenn Hale

2006-05-01T23:59:59.000Z

398

The preparation of landslide map by Landslide Numerical Risk Factor (LNRF) model and Geographic Information System (GIS)  

Science Journals Connector (OSTI)

Abstract One of the risks to threaten mountainous areas is that hillslope instability caused damage to lands. One of the most dangerous instabilities is mass movement and much movement occurs due to slip. The aim of this study is zonation of landslide hazards in a basin of the Ardebil province, the eastern slopes of Sabalan, Iran. Geological and geomorphologic conditions, climate and type of land use have caused susceptibility of this watershed to landslides. Firstly, maps of the main factors affecting landslide occurrence including slope, distance from faults, lithology, elevation and precipitation were prepared and digitized. Then, by using interpretation of aerial photos and satellite images and field views, the ground truth map of landslides was prepared. Each basic layer (factor) and landslide map were integrated to compute the numeric value of each factor with the help of a Landslide Numerical Risk Factor (LNRF) model and landslide occurrence percent obtained in different units from each of the maps. Finally, with overlapping different data layers, a landslide hazard zonation map was prepared. Results showed that 67.85% of the basin has high instability, 7.76% moderate instability and 24.39% low instability.

Ali Mohammadi Torkashvand; Akram Irani; Jaliledin Sorur

2014-01-01T23:59:59.000Z

399

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 »

400

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

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

402

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-

403

Automation to Support Risk Assessment and Management at DHS  

Science Journals Connector (OSTI)

DHS is pursuing a portfolio of research and development projects known as the Threat Assessment Portfolio, conducting a range of cross-cutting analytic automation research to address...

Dennis, Stephen

404

PI Portfolio Job Aid Reports Page 1 of 5 Version 5.0  

E-Print Network (OSTI)

6 7 5 8 9 10 11 #12;PI Portfolio Job Aid Reports Page 2 of 5 Version 5.0 Jul. 1, 2013 Search 1 hyperlink indicator) E. At-a-glance table of Budget, Expenses, Liens and Balance per the General Ledger F until all required fields are completed A B C D E F G C Click here to change search criteria Click here

Yamamoto, Keith

405

A MODEL FOR HEDGING LOAD AND PRICE RISK IN THE TEXAS ELECTRICITY MARKET  

E-Print Network (OSTI)

results. In particular, we include as state variables the key factors which drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy for capacity available. We express stochastic factors including the load process, our power price model allows for the calculation of closed

Powell, Warren B.

406

Assembling spatially explicit landscape models of pollen and spore dispersal by wind for risk assessment  

Science Journals Connector (OSTI)

...the direction of the wind, a simplified physical...rise to an inverse power-law with an exponent 3/2 along the wind. Using a more detailed...particles, such as most plant seeds, with a terminal...with mean vertical wind speeds. This model...cut-off and within this power-law behaviour with...

2006-01-01T23:59:59.000Z

407

Eliciting fuzzy distributions from experts for ranking conceptual risk model components  

Science Journals Connector (OSTI)

An expert elicitation methodology was developed to integrate scientific knowledge from many studies at different spatial and temporal scales. The methodology utilised a structured one-to-one interview to elicit scale-dependent conceptual models and expert-weightings ... Keywords: Elicitation, Expert opinion, Fuzzy number, Phosphorus, Uncertainty, Water framework directive

T. Page; A. L. Heathwaite; L. J. Thompson; L. Pope; R. Willows

2012-10-01T23:59:59.000Z

408

A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis  

E-Print Network (OSTI)

, Departamento de Ingeniería Química, Celaya, Gto 38010 México 2 Carnegie Mellon University, Chemical Engineering). #12;The Center for Chemical Process Safety (CCPS) has published guidelines for facility siting model for safe process layout considering three possible hazardous incidents in an ethylene oxide plant

Grossmann, Ignacio E.

409

Abstract 1561: An evaluation of the use of genetically modified mouse models in human cancer risk assessment.  

Science Journals Connector (OSTI)

...and educating the public about acceptable risk profiles for given chemopreventive...presence or number of cancers and an acceptable risk-benefit ratio have been the...precancers, however, may, with an acceptable risk-benefit ratio, also lead to...

David A. Eastmond; Suryanarayana V. Vulimiri; John E. French; and Babasaheb Sonawane

2013-08-14T23:59:59.000Z

410

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)

and Benefits of State Renewables Portfolio Standards: AM. Fripp. 2004. Putting Renewables to Work: How Many JobsLos Angeles Can Reach 20% Renewables Without Raising Rates.

Chen, Cliff

2009-01-01T23:59:59.000Z

411

Policy Shifts toward an Energy System Transition: The Dynamics of Advocacy Coalitions and New York State’s Renewable Portfolio Standard.  

E-Print Network (OSTI)

??Using the New York State Renewable Portfolio Standard (RPS) policy process as a case study, this paper combines two existing policy theories, Transition Management and… (more)

Rubenstein, M.

2012-01-01T23:59:59.000Z

412

Modeling of fission product release from HTR (high temperature reactor) fuel for risk analyses  

SciTech Connect

The US and FRG have developed methodologies to determine the performance of and fission product release from TRISO-coated fuel particles under postulated accident conditions. The paper presents a qualitative and quantitative comparison of US and FRG models. The models are those used by General Atomics (GA) and by the German Nuclear Research Center at Juelich (KFA/ISF). A benchmark calculation was performed for fuel temperatures predicted for the US Department of Energy sponsored Modular High Temperature Gas Cooled Reactor (MHTGR). Good agreement in the benchmark calculations supports the on-going efforts to verify and validate the independently developed codes of GA and KFA/ISF. This work was performed under the US/FRG Umbrella Agreement for Cooperation on Gas Cooled Reactor Development. 6 refs., 3 figs., 3 tabs.

Bolin, J.; Verfondern, K.; Dunn, T.; Kania, M.

1989-07-01T23:59:59.000Z

413

Derivation of models for nuclear weapon terrorist arming and detonation risk analysis  

SciTech Connect

This report investigates "use control" for the on-site arming and detonation, by terrorists, of stored weapon systems. We investigate both components of weapon "use control", which we define as: (1) weapon "use denial" * that we model as a probability, Pj (denial), that represents the chances that terrorists attempting to arm a type j weapon will commit a non-recoverable error, and (2) weapon "use delay" that we model as a random variable, Tj , that represents the arming delay imposed by the use control features of a type j weapon, before detonation can occur. Using information pertaining to the physical security system at a storage site, the postulated terrorist attack force size, and simulated combat engagement outcomes, we formulate the frequency, fj , and probability, P(dj ), of on-site detonation, for generic weapon types j. We derive a model that disjoins the performance of site physical security, from that for weapon use control, if the use control random variable Tj has a Uniform or histogram distribution. This is an especially significant result where most complex distributions can be adequately approximated with a histogram. Hence, we can conduct combat simulations to obtain the physical security performance of a specific storage site independent of the use control features associated with specific weapon types that are stored, or might be stored, at the site. In turn, we can obtain the use control performance for various weapon types, independent of where they are stored and the physical security systems surrounding them. Our models can then mathematically combine physical security performance and weapon use control performance for any combination of storage facility and weapon type.

Parziale, A A

1998-03-01T23:59:59.000Z

414

Estimating surface water risk at Oak Ridge National Laboratory: Effects of site conditions on modeling results  

SciTech Connect

Multiple source term and groundwater modeling runs were executed to estimate surface water {sup 90}Sr concentrations resulting from leaching of sludges in five 180,000 gallon Gunite{trademark} tanks at Oak Ridge National Laboratory. Four release scenarios were analyzed: (1) leaching of unstabilized sludge with immediate tank failure; (2) leaching of unstabilized sludge with delayed tank failure due to chemical degradation; (3) leaching of stabilized sludge with immediate tank failure; and (4) leaching of residual contamination out of the shells of empty tanks. Source terms and concentrations of {sup 90}Sr in the stream directly downgradient of the tanks were calculated under these release scenarios. The following conclusions were drawn from the results of the modeling: (1) small changes in soil path length resulted in relatively large changes in the modeled {sup 90}Sr concentrations in the stream; (2) there was a linear relationship between the amount of sludge remaining in a tank and the peak concentration of {sup 90}Sr in the stream; (3) there was a linear relationship between the cumulative {sup 90}Sr release from a tank and the peak concentration of {sup 90}Sr in the stream; (4) sludge stabilization resulted in significantly reduced peak concentrations of {sup 90}Sr in the stream; and (5) although radioactive decay of {sup 90}Sr during the period of tank degradation resulted in incrementally lower peak {sup 90}Sr concentrations in surface water than under the immediate tank failure scenarios these concentrations were equivalent under the two scenarios after about 90 years.

Curtis, A.H. III

1996-08-01T23:59:59.000Z

415

Risk Without Return  

E-Print Network (OSTI)

but also the highest volatility. From the perspective ofor assets with low volatility may be correlated. Figure 2:asset class n to portfolio volatility is given by: RC n = w

Goldberg, Lisa R.; Mahmoud, Ola

2013-01-01T23:59:59.000Z

416

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

417

Acceptable Risk  

Science Journals Connector (OSTI)

The acceptability of risk is a complex subject. Judgments of acceptability ... and by the society at large. A risk may be acceptable to the consumer of a product or ... but those who receive no benefit but some risk

Chris Whipple

1988-01-01T23:59:59.000Z

418

Risk Prioritization  

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

Quality Managers Quality Managers Software Quality Assurance Subcommittee Reference Document SQAS21.01.00 - 1999 Software Risk Management A Practical Guide February, 2000 Abstract This document is a practical guide for integrating software risk management into a software project. The purpose of Risk Management is to identify, assess and control project risks. Identified risks are analyzed to determine their potential impact and likelihood of occurrence. Risk Management Plans are developed to document the project's approach to risk management, risks, and decisions made about what should be done with each risk. Risks and risk actions are then tracked to closure. Software Risk Management: A Practical Guide SQAS21.01.00 Acknowledgments This document was prepared for the Department of Energy (DOE) by a Working Group of the DOE

419

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

SciTech Connect

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

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

2014-06-01T23:59:59.000Z

420

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

SciTech Connect

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

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

2014-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "modeling portfolio risk" 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

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

SciTech Connect

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

422

Political Risk  

Science Journals Connector (OSTI)

Investors in nondomestic securities face a number of risks beyond those of domestic securities. Political risk can affect a bond investor in a...

2006-01-01T23:59:59.000Z

423

Pursuing Energy Efficiency as a Hedge Against Carbon Regulatory Risks  

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

Pursuing Energy Efficiency as a Hedge Against Carbon Regulatory Risks Pursuing Energy Efficiency as a Hedge Against Carbon Regulatory Risks Current Resource Planning Practices in the West Title Pursuing Energy Efficiency as a Hedge Against Carbon Regulatory Risks Current Resource Planning Practices in the West Publication Type Report Year of Publication 2008 Authors Barbose, Galen L., Ryan H. Wiser, Amol Phadke, and Charles A. Goldman Pagination 12 Date Published 08/2008 Publisher LBNL City Berkeley Keywords electric utilities, electricity markets and policy group, energy analysis and environmental impacts department, energy efficiency, power system planning Abstract Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6% to almost 50% of the preferred portfolio energy resources, and represents 22% of all incremental resources in aggregate.

424

Optimisation of physical and financial power purchase portfolios  

E-Print Network (OSTI)

Fraunhofer Institut for Environmental, Safety and Energy Technology UMSICHT ... Carlo-simulation that uses a mean-reversion market model calibrated for the Ger- man power ... Available software products provide a calculation of the expected profit and ..... 2: Comparison of scenarios to real market prices (October 2001). 0.

2003-03-10T23:59:59.000Z

425

Essays on Bank Optimal Portfolio Choice under Liquidity Constraint  

E-Print Network (OSTI)

that the bank securities business produces a chasm between a real liquidity of economy and market liquidity. Banks can have more liquidity by selling their securitized loans, and as our model already pointed out, a good liquidity condition makes the bank have...

Kim, Eul Jin

2012-10-19T23:59:59.000Z

426

Optimal Securitization of Credit Portfolios via Impulse Control  

E-Print Network (OSTI)

, and therefore refinances itself by debt capital. We assume that this refinancing is short-term, e default probabilities are uncertain and may change with the state of the economy. This leads us to consider a random state of the economy, modelled as a two- state continuous-time Markov chain

Frey, Rüdiger

427

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

Science Journals Connector (OSTI)

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

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

2008-08-01T23:59:59.000Z

428

Risk assessment of an oxygen-enhanced combustor using a structural model based on the FMEA and fuzzy fault tree  

Science Journals Connector (OSTI)

Abstract The oxygen-enhanced combustor has the advantages of high burning efficiency and low emissions. However, it should not be promoted for industrial use until its reliability and safety have been fully recognized. A new methodology is proposed to assess the risk of an oxygen-enhanced combustor using a structural model based on the FMEA and fuzzy fault tree. In addition, it is applied to a selected pilot semi-industrial combustor. To identify the hazard source comprehensively, the pilot is divided into four subsystems: the combustor subsystem, feed subsystem, ignition subsystem and exhaust subsystem. According to the operational parameters of flow (flow rate, temperature and pressure) and the component functions in different subsystems, the cause and effect matrix can be built using the structural model, and the relationship between the operational parameters and the effects of the change for the operational parameters on the system can be presented. Based on the results of cause and effect matrix, the FMEA can be built to describe the failed models and accident scenarios of the pilot. The main accident forms include leakage, injury, fire and explosion. Accordingly, with the severity and probability analysis of different accident forms, the fire and explosion accidents should be further accessed quantitatively using the fuzzy fault tree analysis. The fault trees can be obtained in accordance with the FMEA, and the qualitative assessments of the basic events can be collected by using expert scoring. A hybrid approach for the fuzzy set theory and weight analysis is investigated to quantify the occurrence probability of basic events. Then, the importance analysis of the fault trees, including the hazard importance of basic events and the cut set importance, is performed to help determine the weak links of the fire and explosion trees. Finally, some of the most effective measures are presented to improve the reliability and safety of the combustion system.

Zhen Chen; Xiaona Wu; Jianguo Qin

2014-01-01T23:59:59.000Z

429

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

430

Financing and risk management of renewable energy projects with a hybrid bond  

Science Journals Connector (OSTI)

Abstract Although many incentive schemes and renewable energy policies, such as feed-in tariffs and tax credits, have been imposed to boost renewable energy investment, renewable energy investment still necessitates huge initial capital costs and involves numerous uncertainties. Unless the problems are well addressed, renewable energy developments are hindered. In this paper, we present a new financing instrument, called hybrid bond, to build renewable energy projects. The hybrid bond consists of a portfolio of renewable energy projects. It does not only financially support the initial capital costs, but also manages the risks associated with renewable energy investment. Key risks including market risks, credit risks, liquidity risks, operational risks and political risks are identified and managed. In the proposed framework, it reveals that the sale of a hybrid bond can finance a substantial share of upfront capital costs of renewable energy projects and the use of hybrid bond is able to manage major uncertainties.

Cheuk Wing Lee; Jin Zhong

2015-01-01T23:59:59.000Z

431

Modelling of electricity cost risks and opportunities in the gold mining industry / Lodewyk Francois van der Zee.  

E-Print Network (OSTI)

??Carbon tax, increased reactive power charges, tariff increases and the Energy Conservation Scheme (ECS) are some of the worrying electricity cost risks faced by large… (more)

Van der Zee, Lodewyk Francois

2014-01-01T23:59:59.000Z

432

Illicit trafficking of radiological & nuclear materials : modeling and analysis of trafficking trends and risks.  

SciTech Connect

Concerns over the illicit trafficking of radiological and nuclear materials were focused originally on the lack of security and accountability of such material throughout the former Soviet states. This is primarily attributed to the frequency of events that have occurred involving the theft and trafficking of critical material components that could be used to construct a Radiological Dispersal Device (RDD) or even a rudimentary nuclear device. However, with the continued expansion of nuclear technology and the deployment of a global nuclear fuel cycle these materials have become increasingly prevalent, affording a more diverse inventory of dangerous materials and dual-use items. To further complicate the matter, the list of nuclear consumers has grown to include: (1) Nation-states that have gone beyond the IAEA agreed framework and additional protocols concerning multiple nuclear fuel cycles and processes that reuse the fuel through reprocessing to exploit technologies previously confined to the more industrialized world; (2) Terrorist organizations seeking to acquire nuclear and radiological material due to the potential devastation and psychological effect of their use; (3) Organized crime, which has discovered a lucrative market in trafficking of illicit material to international actors and/or countries; and (4) Amateur smugglers trying to feed their families in a post-Soviet era. An initial look at trafficking trends of this type seems scattered and erratic, localized primarily to a select group of countries. This is not necessarily the case. The success with which other contraband has been smuggled throughout the world suggests that nuclear trafficking may be carried out with relative ease along the same routes by the same criminals or criminal organizations. Because of the inordinately high threat posed by terrorist or extremist groups acquiring the ingredients for unconventional weapons, it is necessary that illicit trafficking of these materials be better understood as to prepare for the sustained global development of the nuclear fuel cycle. Conversely, modeling and analyses of this activity must not be limited in their scope to loosely organized criminal smuggling, but address the problem as a commercial, industrial project for the covert development of nuclear technologies and unconventional weapon development.

York, David L.; Love, Tracia L.; Rochau, Gary Eugene

2005-01-01T23:59:59.000Z

433

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

434

Political risk  

SciTech Connect

A book that considers political risk and how it can be managed: what political risk is; the types of risk; how to forecast regime instability; case histories; using scenarios; regional and global corporate strategies; managing political analysis and decision making in the international company and bank including staff-line relationships; the question of centralization and information gathering; risk aversion; risk management; insurance and hedging.

Overholt, W.

1984-01-01T23:59:59.000Z

435

Open-Innovation Effectiveness: When does the Macro Design of Alliance Portfolios Matter?  

Science Journals Connector (OSTI)

Abstract We determine the impact of the macro-design of a firm's alliance portfolio on its open-innovation effectiveness. Three elements of macro-design—international, technological, and partner diversity—are theorized to affect the breadth of knowledge sourcing, which is an important facet of open-innovation effectiveness. We test our hypotheses on a sample of 982 firm-years in the biotech industry. We find a U-shaped relationship between knowledge-sourcing breadth and international diversity. We also find that that technological diversity has no impact on knowledge-sourcing breadth. Furthermore, when seeking valuable knowledge, partner diversity is detrimental to knowledge-sourcing breadth.

Shalini Rogbeer; Rangga Almahendra; Björn Ambos

2014-01-01T23:59:59.000Z

436

A critical evaluation of secondary cancer risk models applied to Monte Carlo dose distributions of 2-dimensional, 3-dimensional conformal and hybrid intensity-modulated radiation therapy for breast cancer  

Science Journals Connector (OSTI)

The comparison of radiotherapy techniques regarding secondary cancer risk has yielded contradictory results possibly stemming from the many different approaches used to estimate risk. The purpose of this study was to make a comprehensive evaluation of different available risk models applied to detailed whole-body dose distributions computed by Monte Carlo for various breast radiotherapy techniques including conventional open tangents, 3D conformal wedged tangents and hybrid intensity modulated radiation therapy (IMRT). First, organ-specific linear risk models developed by the International Commission on Radiological Protection (ICRP) and the Biological Effects of Ionizing Radiation (BEIR) VII committee were applied to mean doses for remote organs only and all solid organs. Then, different general non-linear risk models were applied to the whole body dose distribution. Finally, organ-specific non-linear risk models for the lung and breast were used to assess the secondary cancer risk for these two specific organs. A total of 32 different calculated absolute risks resulted in a broad range of values (between 0.1% and 48.5%) underlying the large uncertainties in absolute risk calculation. The ratio of risk between two techniques has often been proposed as a more robust assessment of risk than the absolute risk. We found that the ratio of risk between two techniques could also vary substantially considering the different approaches to risk estimation. Sometimes the ratio of risk between two techniques would range between values smaller and larger than one, which then translates into inconsistent results on the potential higher risk of one technique compared to another. We found however that the hybrid IMRT technique resulted in a systematic reduction of risk compared to the other techniques investigated even though the magnitude of this reduction varied substantially with the different approaches investigated. Based on the epidemiological data available, a reasonable approach to risk estimation would be to use organ-specific non-linear risk models applied to the dose distributions of organs within or near the treatment fields (lungs and contralateral breast in the case of breast radiotherapy) as the majority of radiation-induced secondary cancers are found in the beam-bordering regions.

A Joosten; F Bochud; R Moeckli

2014-01-01T23:59:59.000Z

437

The Risk Assessment Information System  

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

RAIS Risk Exposure Models for Radionuclides User's Guide RAIS Risk Exposure Models for Radionuclides User's Guide Note The RAIS presents this updated Risk calculator in response to the following: incorporating chemical-specific parameters from the lastest EPI release, addition of air as a media, and conversion to a new database structure. The previous RAIS Risk calculator presented Risks for radionuclides and chemcials together. Recent development of chemical and radionuclide exposure equations has necessitated that the RAIS separate the chemicals and the radionuclides. To calculate risks for chemicals, use the RAIS Risk Exposure Models for Chemicals calculator. Currently the agricultural equations for the RAIS chemical and radionuclide risk calculators are identical. The EPA's Preliminary Remediation Goals for

438

Marine Systems Risk Modelling  

Science Journals Connector (OSTI)

If we restrict the consideration to semi-submersible installations, it is more than 30 years since the last serious Norwegian accident, as noted above. Therefore, there is ... for making a comparison of QRA resul...

Jan-Erik Vinnem

2014-01-01T23:59:59.000Z

439

From Behavioral Psychology to Acceleration Modeling: Calibration, Validation, and Exploration of Drivers Cognitive and Safety Parameters in a Risk-Taking Environment  

E-Print Network (OSTI)

We investigate a utility-based approach for driver car-following behavioral modeling while analyzing different aspects of the model characteristics especially in terms of capturing different fundamental diagram regions and safety proxy indices. The adopted model came from an elementary thought where drivers associate subjective utilities for accelerations (i.e. gain in travel times) and subjective dis-utilities for decelerations (i.e. loss in travel time) with a perceived probability of being involved in rear-end collision crashes. Following the testing of the model general structure, the authors translate the corresponding behavioral psychology theory - prospect theory - into an efficientmicroscopic traffic modeling with more elaborate stochastic characteristics considered in a risk-taking environment. The formulated model offers a better understanding of drivers behavior, particularly under extreme/incident conditions.

Hamdar, Samer H; Treiber, Martin

2014-01-01T23:59:59.000Z

440

International Conference on E-Portfolio Process in Vocational Education-EPVET 2007 REVISITING CNC TRAINING A "VIRTUAL TRAINING CENTRE  

E-Print Network (OSTI)

International Conference on E-Portfolio Process in Vocational Education- EPVET 2007 REVISITING CNC TRAINING ­ A "VIRTUAL TRAINING CENTRE FOR CNC" Mehmet ahin*1 , Nikolaos Bilalis2 , Süleyman Yaldiz1, Technological Educational Institute of Crete, Chania, Greece Abstract CNC Training has been a scope of interest

Aristomenis, Antoniadis

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


441

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

442

Modeling the Risk of Radiation-Induced Acute Esophagitis for Combined Washington University and RTOG Trial 93-11 Lung Cancer Patients  

SciTech Connect

Purpose: To construct a maximally predictive model of the risk of severe acute esophagitis (AE) for patients who receive definitive radiation therapy (RT) for non-small-cell lung cancer. Methods and Materials: The dataset includes Washington University and RTOG 93-11 clinical trial data (events/patients: 120/374, WUSTL = 101/237, RTOG9311 = 19/137). Statistical model building was performed based on dosimetric and clinical parameters (patient age, sex, weight loss, pretreatment chemotherapy, concurrent chemotherapy, fraction size). A wide range of dose-volume parameters were extracted from dearchived treatment plans, including Dx, Vx, MOHx (mean of hottest x% volume), MOCx (mean of coldest x% volume), and gEUD (generalized equivalent uniform dose) values. Results: The most significant single parameters for predicting acute esophagitis (RTOG Grade 2 or greater) were MOH85, mean esophagus dose (MED), and V30. A superior-inferior weighted dose-center position was derived but not found to be significant. Fraction size was found to be significant on univariate logistic analysis (Spearman R = 0.421, p < 0.00001) but not multivariate logistic modeling. Cross-validation model building was used to determine that an optimal model size needed only two parameters (MOH85 and concurrent chemotherapy, robustly selected on bootstrap model-rebuilding). Mean esophagus dose (MED) is preferred instead of MOH85, as it gives nearly the same statistical performance and is easier to compute. AE risk is given as a logistic function of (0.0688 Asterisk-Operator MED+1.50 Asterisk-Operator ConChemo-3.13), where MED is in Gy and ConChemo is either 1 (yes) if concurrent chemotherapy was given, or 0 (no). This model correlates to the observed risk of AE with a Spearman coefficient of 0.629 (p < 0.000001). Conclusions: Multivariate statistical model building with cross-validation suggests that a two-variable logistic model based on mean dose and the use of concurrent chemotherapy robustly predicts acute esophagitis risk in combined-data WUSTL and RTOG 93-11 trial datasets.

Huang, Ellen X.; Bradley, Jeffrey D.; El Naqa, Issam [Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO (United States); Hope, Andrew J.; Lindsay, Patricia E. [Princess Margaret Hospital, Toronto, ON (Canada); Bosch, Walter R.; Matthews, John W. [Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO (United States); Sause, William T. [Department of Radiation Oncology, LDS Hospital, Salt Lake City, UT (United States); Graham, Mary V. [Department of Radiation Oncology, Phelps County Regional Hospital, Rolla, MO (United States); Deasy, Joseph O., E-mail: deasyj@mskcc.org [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY (United States)

2012-04-01T23:59:59.000Z

443

Risk Characterization  

Science Journals Connector (OSTI)

Abstract The last step of the risk assessment process, risk characterization, combines the results of the toxicity and exposure assessment to arrive at a risk estimate. The results of the toxicity assessment vary depending on whether the substance is identified as a carcinogen or a noncarcinogen. In the former case, the risk characterization provides an estimate of the incidence of cancer; e.g., additional cases per one million exposed individuals. In the latter, the characterization describes whether or not the risk exceeds an acceptable threshold.

M.A. Kamrin

2014-01-01T23:59:59.000Z

444

TECHNICAL RISK RATING OF DOE ENVIRONMENTAL PROJECTS - 9153  

SciTech Connect

The U.S. Department of Energy's Office of Environmental Management (DOE-EM) was established to achieve the safe and compliant disposition of legacy wastes and facilities from defense nuclear applications. The scope of work is diverse, with projects ranging from single acquisitions to collections of projects and operations that span several decades and costs from hundreds of millions to billions US$. The need to be able to manage and understand the technical risks from the project to senior management level has been recognized as an enabler to successfully completing the mission. In 2008, DOE-EM developed the Technical Risk Rating as a new method to assist in managing technical risk based on specific criteria. The Technical Risk Rating, and the criteria used to determine the rating, provides a mechanism to foster open, meaningful communication between the Federal Project Directors and DOE-EM management concerning project technical risks. Four indicators (technical maturity, risk urgency, handling difficulty and resolution path) are used to focus attention on the issues and key aspects related to the risks. Pressing risk issues are brought to the forefront, keeping DOE-EM management informed and engaged such that they fully understand risk impact. Use of the Technical Risk Rating and criteria during reviews provides the Federal Project Directors the opportunity to openly discuss the most significant risks and assists in the management of technical risks across the portfolio of DOE-EM projects. Technical Risk Ratings can be applied to all projects in government and private industry. This paper will present the methodology and criteria for Technical Risk Ratings, and provide specific examples from DOE-EM projects.

Cercy, M; Ronald Fayfich, R; Steven P Schneider, S

2008-12-12T23:59:59.000Z

445

A SCOPING STUDY: Development of Probabilistic Risk Assessment Models for Reactivity Insertion Accidents During Shutdown In U.S. Commercial Light Water Reactors  

SciTech Connect

This report documents the scoping study of developing generic simplified fuel damage risk models for quantitative analysis from inadvertent reactivity insertion events during shutdown (SD) in light water pressurized and boiling water reactors. In the past, nuclear fuel reactivity accidents have been analyzed both mainly deterministically and probabilistically for at-power and SD operations of nuclear power plants (NPPs). Since then, many NPPs had power up-rates and longer refueling intervals, which resulted in fuel configurations that may potentially respond differently (in an undesirable way) to reactivity accidents. Also, as shown in a recent event, several inadvertent operator actions caused potential nuclear fuel reactivity insertion accident during SD operations. The set inadvertent operator actions are likely to be plant- and operation-state specific and could lead to accident sequences. This study is an outcome of the concern which arose after the inadvertent withdrawal of control rods at Dresden Unit 3 in 2008 due to operator actions in the plant inadvertently three control rods were withdrawn from the reactor without knowledge of the main control room operator. The purpose of this Standardized Plant Analysis Risk (SPAR) Model development project is to develop simplified SPAR Models that can be used by staff analysts to perform risk analyses of operating events and/or conditions occurring during SD operation. These types of accident scenarios are dominated by the operator actions, (e.g., misalignment of valves, failure to follow procedures and errors of commissions). Human error probabilities specific to this model were assessed using the methodology developed for SPAR model human error evaluations. The event trees, fault trees, basic event data and data sources for the model are provided in the report. The end state is defined as the reactor becomes critical. The scoping study includes a brief literature search/review of historical events, developments of a small set of comprehensive event trees and fault trees and recommendation for future work.

S. Khericha

2011-06-01T23:59:59.000Z

446

International Portfolio  

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

The U.S.-China Clean Energy Research Center (CERC) is a multi-year international effort focused on developing and implementing energy efficiency technologies in both the USA and in China. The...

447

Impact of risk on the maximum bid price for farm land  

E-Print Network (OSTI)

37 40 5. Sample Output for Computer Simulation Model 6. Final Page of Computer Output . . . . . . . 7. Assumptions Made in Model Solutions . 8. Alternative Assumptions About the Buyer' s Annual Subjective Probability Distributions for the Net... when developing the computer simulation model are: (I) The buyer's portfolio of non-farm assets (i. e. , stocks, bonds, nonfarm bus1ness assets, etc. ) represents a small and insig- n1ficant part of his total investment portfol1o. This allows one...

Miles, Jennifer Doughty

2012-06-07T23:59:59.000Z

448

Risk Management Process Overview | Department of Energy  

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

» Risk Management Process Overview » Risk Management Process Overview Risk Management Process Overview figure depicting three tier risk management process The cybersecurity risk management process explained in the Electricity Sector Cybersecurity Risk Management Process (RMP) Guideline has two primary components: the risk management model and the the risk management cycle. The risk management model reflects the organization as a three-tiered structure and provides a comprehensive view for the electricity sector organization and how risk management activities are undertaken across the organization. This structure is simple enough that it can be applied to any electricity sector organization regardless of size or operations. The three tiers of the risk management model are: Tier 1: Organization

449

Lger A., Duval C., Weber P., Levrat E., Farret R. "BAYESIAN NETWORK MODELLING THE RISK ANALYSIS OF COMPLEX SOCIO TECHNICAL SYSTEMS". Submitted to: 4th Workshop on Advanced Control and Diagnosis, Nancy -France, 16 et 17 nov., 2006.  

E-Print Network (OSTI)

, Probabilistic risk assessment. 1. INTRODUCTION In classified installations1 (nuclear power plants, chemical OF COMPLEX SOCIO TECHNICAL SYSTEMS". Submitted to: 4th Workshop on Advanced Control and Diagnosis, Nancy - France, 16 et 17 nov., 2006. BAYESIAN NETWORK MODELLING THE RISK ANALYSIS OF COMPLEX SOCIO TECHNICAL

Boyer, Edmond

450

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,

451

This paper describes the use of Bayesian networks (BNs) to model the operational risk to information technology (IT)  

E-Print Network (OSTI)

from the financial, rail transport, civil aviation, and nuclear power sectors to sup- port his case failures, slow degrada- tion or collapse of safety procedures, changes in culture and management, lack risk in other industries, especially the Aviation and Nuclear sectors, readily translate to operational

Neil, Martin

452

The Risk Assessment Information System  

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

Risk Exposure Models for Chemicals User's Guide Risk Exposure Models for Chemicals User's Guide 1. Introduction The purpose of this calculator is to assist Remedial Project Managers (RPMs), On Scene Coordinators (OSC's), risk assessors and others involved in decision-making at hazardous waste sites and to determine whether levels of contamination found at the site may warrant further investigation or site cleanup, or whether no further investigation or action may be required. The risk values presented on this site are chemical-specific values for individual contaminants in air, water, soil and biota that may warrant further investigation or site cleanup. It should be noted that the risks in this calculator are based upon human health risk and do not address potential ecological risk. Some sites in sensitive ecological settings may also need to be evaluated for potential

453

Reading the Tea Leaves: How Utilities in the West Are Managing Carbon Regulatory Risk in their Resource Plans  

SciTech Connect

The long economic lifetime and development lead-time of many electric infrastructure investments requires that utility resource planning consider potential costs and risks over a lengthy time horizon. One long-term -- and potentially far-reaching -- risk currently facing the electricity industry is the uncertain cost of future carbon dioxide (CO2) regulations. Recognizing the importance of this issue, many utilities (sometimes spurred by state regulatory requirements) are beginning to actively assess carbon regulatory risk within their resource planning processes, and to evaluate options for mitigating that risk. However, given the relatively recent emergence of this issue and the rapidly changing political landscape, methods and assumptions used to analyze carbon regulatory risk, and the impact of this analysis on the selection of a preferred resource portfolio, vary considerably across utilities. In this study, we examine the treatment of carbon regulatory risk in utility resource planning, through a comparison of the most-recent resource plans filed by fifteen investor-owned and publicly-owned utilities in the Western U.S. Together, these utilities account for approximately 60percent of retail electricity sales in the West, and cover nine of eleven Western states. This report has two related elements. First, we compare and assess utilities' approaches to addressing key analytical issues that arise when considering the risk of future carbon regulations. Second, we summarize the composition and carbon intensity of the preferred resource portfolios selected by these fifteen utilities and compare them to potential CO2 emission benchmark levels.

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-02-01T23:59:59.000Z

454

Intragenerational Conflict and Political Risk  

Science Journals Connector (OSTI)

The models of Chapter 6 and Chapter 7 focused on intergenerational differences as the only source of distributional conflict within a country. In these models, political risk after the removal of investment barri...

Philipp Harms

2000-01-01T23:59:59.000Z

455

Legacy Risk Measure for Environmental Management Waste  

SciTech Connect

The Idaho National Engineering and Environmental Laboratory (INEEL) is investigating the development of a comprehensive and quantitative risk model framework for environmental management activities at the site. Included are waste management programs (high-level waste, transuranic waste, low-level waste, mixed low-level waste, spent nuclear fuel, and special nuclear materials), major environmental restoration efforts, major decontamination and decommissioning projects, and planned long-term stewardship activities. Two basic types of risk estimates are included: risks from environmental management activities, and long-term legacy risks from wastes/materials. Both types of risks are estimated using the Environment, Safety, and Health Risk Assessment Program (ESHRAP) developed at the INEEL. Given these two types of risk calculations, the following evaluations can be performed: • Risk evaluation of an entire program (covering waste/material as it now exists through disposal or other end states) • Risk comparisons of alternative programs or activities • Comparisons of risk benefit versus risk cost for activities or entire programs • Ranking of programs or activities by risk • Ranking of wastes/materials by risk • Evaluation of site risk changes with time as activities progress • Integrated performance measurement using indicators such as injury/death and exposure rates. This paper discusses the definition and calculation of legacy risk measures and associated issues. The legacy risk measure is needed to support three of the seven types of evaluations listed above: comparisons of risk benefit versus risk cost, ranking of wastes/materials by risk, and evaluation of site risk changes with time.

Eide, Steven Arvid; Nitschke, Robert Leon

2002-02-01T23:59:59.000Z

456

An Approach to Select Cost-Effective Risk Countermeasures  

E-Print Network (OSTI)

risk analysis should be conducted regularly to main- tain an acceptable level of security. In principle]. The required level of security and the acceptable level of risk should be defined by the risk criteria. However Fig. 1) takes a risk model resulting from a risk assessment and the associated risk acceptance

Stølen, Ketil

457

An Approach to Select Cost-Effective Risk Countermeasures  

E-Print Network (OSTI)

risk analysis should be conducted regularly to main- tain an acceptable level of security. In principle]. The required level of security and the acceptable level of risk should be defined by the risk criteria. However (see Fig. 1) takes a risk model resulting from a risk assessment and the associated risk acceptance

Stølen, Ketil

458

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

E-Print Network (OSTI)

important things. Thank you, Aggieland, for being so illuminative. I will miss you. Gig ?em! vii NOMENCLATURE E&P Exploration and Production PV Present Value SGS Sequential Gaussian Simulation WTI West Texas Intermediate CPI Consumer Price Index.................................................................... 12 3.2 WTI actual historical prices and prices brought to common July 2007 dollars ........................................................................................ 12 3.3 Histogram of inflation adjusted oil price data...

Aibassov, Gizatulla

2009-05-15T23:59:59.000Z

459

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

E-Print Network (OSTI)

163–175. United States v. State Water Res. Control Bd. , 182An Overview. California State Water Resources Control BoardCentral Valley Salinity, State Water Resources Control Board

Mukherjee, Monobina

2013-01-01T23:59:59.000Z

460

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

E-Print Network (OSTI)

............................................................................................................ 10 Capacity and Costs Related to Capacity ............................................................................................... 15 Variable Capacity ............................................................................................... 38 Exposure to Wholesale Power Markets

Note: This page contains sample records for the topic "modeling portfolio risk" 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

Thomas Ridder Dresdner Forum 2006 June 23, 2006 1 Modeling Dependency in Credit Portfolios  

E-Print Network (OSTI)

;Thomas Ridder · Dresdner Forum 2006 · June 23, 2006 · 2 outline 1 why does dependency matter? 2 · Dresdner Forum 2006 · June 23, 2006 · 3 outline 1 why does dependency matter? 2 correlation drivers 3 two;why does dependency matter? Thomas Ridder · Dresdner Forum 2006 · June 23, 2006 · 5 focus 2: credit

Schmidt, Klaus D.

462

Validation of mathematical models for the prediction of organs-at-risk dosimetric metrics in high-dose-rate gynecologic interstitial brachytherapy  

SciTech Connect

Purpose: Given the complicated nature of an interstitial gynecologic brachytherapy treatment plan, the use of a quantitative tool to evaluate the quality of the achieved metrics compared to clinical practice would be advantageous. For this purpose, predictive mathematical models to predict the D{sub 2cc} of rectum and bladder in interstitial gynecologic brachytherapy are discussed and validated.Methods: Previous plans were used to establish the relationship between D2cc and the overlapping volume of the organ at risk with the targeted area (C0) or a 1-cm expansion of the target area (C1). Three mathematical models were evaluated: D{sub 2cc}=?*C{sub 1}+? (LIN); D{sub 2cc}=?– exp(–?*C{sub 0}) (EXP); and a mixed approach (MIX), where both C{sub 0} and C{sub 1} were inputs of the model. The parameters of the models were optimized on a training set of patient data, and the predictive error of each model (predicted D{sub 2cc}? real D{sub 2cc}) was calculated on a validation set of patient data. The data of 20 patients were used to perform a K-fold cross validation analysis, with K = 2, 4, 6, 8, 10, and 20.Results: MIX was associated with the smallest mean prediction error <6.4% for an 18-patient training set; LIN had an error <8.5%; EXP had an error <8.3%. Best case scenario analysis shows that an error ?5% can be achieved for a ten-patient training set with MIX, an error ?7.4% for LIN, and an error ?6.9% for EXP. The error decreases with the increase in training set size, with the most marked decrease observed for MIX.Conclusions: The MIX model can predict the D{sub 2cc} of the organs at risk with an error lower than 5% with a training set of ten patients or greater. The model can be used in the development of quality assurance tools to identify treatment plans with suboptimal sparing of the organs at risk. It can also be used to improve preplanning and in the development of real-time intraoperative planning tools.

Damato, Antonio L.; Viswanathan, Akila N.; Cormack, Robert A. [Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts 02115 (United States)] [Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts 02115 (United States)

2013-10-15T23:59:59.000Z

463

Abstract 5494: The development and validation of risk predictive models for cervical low-grade and high-grade squamous intraepithelial lesions  

Science Journals Connector (OSTI)

...indicate that oophorectomy at about age 40 reduces breast cancer risk by approximately a half in high risk women. Widespread use of risk reducing oophorectomy is unlikely to be acceptable to these women. We explored the feasibility of giving goserelin...

Ming-Tsang Wu

2012-06-04T23:59:59.000Z

464

DOE Selects Projects Aimed at Reducing Drilling Risks in Ultra-Deepwater |  

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

Selects Projects Aimed at Reducing Drilling Risks in Selects Projects Aimed at Reducing Drilling Risks in Ultra-Deepwater DOE Selects Projects Aimed at Reducing Drilling Risks in Ultra-Deepwater November 22, 2011 - 12:00pm Addthis Washington, DC - The U.S. Department of Energy's Office of Fossil Energy (FE) has selected six new natural gas and oil research projects aimed at reducing risks and enhancing the environmental performance of drilling in ultra-deepwater settings. The projects have been selected for negotiation leading to awards totaling $9.6 million, and will add to the research portfolio for FE's Ultra-Deepwater and Unconventional Natural Gas and Other Petroleum Resources Program. Research needs addressed by the projects include the prevention of uncontrolled oil flow through new and better ways to cement well casing,

465

Reading the Tea Leaves: How Utilities in the West Are Managing Carbon Regulatory Risk in their Resource Plans  

E-Print Network (OSTI)

carbon intensity of utilities’ preferred resource portfolios to EIA’s projectionscarbon intensity of the utilities’ preferred portfolios and EIA’s projectioncarbon intensity of the set of utility preferred portfolios and EIA’s projections

Barbose, Galen

2008-01-01T23:59:59.000Z

466

WTI crude oil Futures in portfolio diversification: The time-to-maturity effect  

Science Journals Connector (OSTI)

The aim of the paper is to analyze the diversification effect brought by crude oil Futures contracts, the most liquid commodity Futures, into a portfolio of stocks. The studies that have documented the very low- and essentially negative-correlations between commodities and equities typically rely on normally distributed returns, which is not the case for crude oil Futures and stocks indexes. Moreover, the particular time-to-maturity chosen for the Future contract used as an investment vehicle is an important matter that needs to be addressed, in presence of forward curves switching between backwardation and contango shapes. Our goal in this paper is twofold: (a) we introduce copula functions to have a better representation of the dependence structure of oil Futures with equity indexes; (b) using this copula representation, we are able to analyze in a precise manner the “maturity effect” in the choice of crude oil Future contract with respect to its diversification benefits. Our finding is that, in the case of distant maturities Futures, e.g., 18 months, the negative correlation effect is more pronounced whether stock prices increase or decrease. This property has the merit to avoid the hurdles of a frequent roll over while being quite desirable in the current trendless equity markets. Empirical evidence is exhibited on a database comprising the NYMEX WTI crude oil Futures and S&P 500 index over a 15 year-time period.

Hélyette Geman; Cécile Kharoubi

2008-01-01T23:59:59.000Z

467

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

SciTech Connect

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

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

2014-03-12T23:59:59.000Z

468

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

469

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

SciTech Connect

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

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

2014-05-01T23:59:59.000Z

470

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

SciTech Connect

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

471

D&D and Risk Assessment Tools  

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

ORISE and PNNL both developed tools to assist in the risk assessment and planning of D&D activities. PNNL developed a Risk D&D tool, a rapid prototype computerbased model, to evaluate...

472

Power Utility Maximization in Constrained Exponential Lvy Models  

E-Print Network (OSTI)

Power Utility Maximization in Constrained Exponential Lévy Models Marcel Nutz ETH Zurich. Abstract We study power utility maximization for exponential Lévy models with portfolio constraints, where utility is obtained from consumption and/or terminal wealth. For convex constraints, an explicit solution

Nutz, Marcel

473

RISK ANALYSIS AND QUANTITATIVE RISK MANAGEMENT  

Science Journals Connector (OSTI)

Abstract Risk analysis is a decision-oriented process consisting of risk assessment, risk management, and risk communication. Risk analysis is a formalized scientifically based approach recognized by the World Trade Organization as the tool to address food safety issues and which shall found food safety regulation. Risk analysis is designed to meet specified goals for risk management activities, which should be related to the acceptable level of protection deemed appropriate in a country. Quantitative risk management can be based on relevant risk-based metrics, such as food safety objectives and Performance Objectives. The article addresses the elements and steps involved in risk analysis as currently recommended.

C. Heggum

2014-01-01T23:59:59.000Z

474

The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory  

E-Print Network (OSTI)

Analysis of a 10-Percent Renewable Portfolio Standard. SR/Impacts of a 15-Percent Renewable Portfolio Standard. SR/through Increased Deployment of Renewable Energy and Energy

Bolinger, Mark A

2009-01-01T23:59:59.000Z

475

Risk management  

SciTech Connect

In the autumn of 1993 an incident occurred with a diving support vessel, whereby a live pipeline from a NAM gas production platform, situated in the Dutch sector of the North Sea, was considerably displaced. Key element in the repair of the line was to identify potential hazards involved in various remedial scenarios and to manage the associated risks.

Visser, M. [Nederlandse Aardolie Maatschappij, Velsen (Netherlands)

1995-12-31T23:59:59.000Z

476

Utility Maximization Under a Shortfall Risk Constraint Anne Gundel  

E-Print Network (OSTI)

in order to make a position acceptable from a risk management perspective. Second, a risk measure shouldUtility Maximization Under a Shortfall Risk Constraint Anne Gundel Humboldt-Universit¨at zu Berlin-time financial market model under a joint budget and downside risk constraint. The risk constraint is given

Grübel, Rudolf

477

A model for hedging load and price risk in the Texas electricity market Michael Coulon , Warren B. Powell, Ronnie Sircar  

E-Print Network (OSTI)

drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy by three stochastic factors including the load process, our power price model allows for the calculation for capacity available. We express power spot price as a parametric function of underlying factors, including

Powell, Warren B.

478

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?

479

Identifying at-risk heritage resources with GIS: modelling the impact of recreational activities on the archaeological record  

Science Journals Connector (OSTI)

Archaeological predictive models were initially developed to determine the probability of encountering certain types of archaeological sites (e.g. masonry ruins or artifact scatters) on a given unit of land. Other than forecasting densities of archaeological site-types by vegetation zones, however, such studies rarely focused on management applications and, consequently, were nearly abandoned. To illustrate the role that GIS can have in assessing and managing modern threats to heritage resources, we explore the usefulness of a predictive model that determines the extent to which off-highway access points affect the likelihood that heritage resources will be impacted by camping, hunting or woodcutting. With high-intensity GPS-based survey data from the Upper Basin, northern Arizona, this study shows how the capabilities of GIS may be extended to assist heritage managers and researchers in their efforts to identify areas where archaeological resources should be protected from various kinds of recreational activities on public lands.

Patrick M. Uphus; Alan P. Sullivan III; Philip B. Mink II

2006-01-01T23:59:59.000Z

480

EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS  

E-Print Network (OSTI)

comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population

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481

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network (OSTI)

-threshold mode estimate the response at lower doses. · The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) · sources of background radiation · various risk models. · estimating risk and on the sources of background radiation, both

Massey, Thomas N.

482

Carbon tax or carbon permits: The impact on generators' risks  

SciTech Connect

Volatile fuel prices affect both the cost and price of electricity in a liberalized market. Generators with the price-setting technology will face less risk to their profit margins than those with costs that are not correlated with price, even if those costs are not volatile. Emissions permit prices may respond to relative fuel prices, further increasing volatility. This paper simulates the impact of this on generators' profits, comparing an emissions trading scheme and a carbon tax against predictions for the UK in 2020. The carbon tax reduces the volatility faced by nuclear generators, but raises that faced by fossil fuel stations. Optimal portfolios would contain a higher proportion of nuclear plant if a carbon tax was adopted.

Green, R. [University of Birmingham, Birmingham (United Kingdom). Inst. for Energy Research & Policy

2008-07-01T23:59:59.000Z

483

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

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

484

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011- pg 9  

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

485

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011  

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

486

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011- pg 7  

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

487

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011- pg 3  

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

488

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011- pg 5  

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

489

Grand Challenge Portfolio: Driving Innovations in Industrial Energy Efficiency, January 2011- pg 6  

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

High-risk, high-value research and development focused on energy efficiency that industry would not typically pursue without federal leadership and support by public-private partnership.

490

The Value of Assessing Uncertainty in Oil and Gas Portfolio Optimization  

E-Print Network (OSTI)

(estimation error) and incorrect project selection (decision error). The results of the cases analyzed show that, in a high-risk-tolerance environment, moderate overconfidence and moderate optimism result in an expected decision error of about 19...

Hdadou, Houda

2013-07-25T23:59:59.000Z

491

Global Warming, endogenous risk and irreversibility  

E-Print Network (OSTI)

The economics of global warming, Institute for InternationalEconomic Models of Global Warming, Cambridge, Mass. MITstochastic losses from global warming, Risk Analysis 16(2):

Fisher, Anthony C.; Narain, Urvashi

2002-01-01T23:59:59.000Z

492

Risk-Related research at LBNL  

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

Risk-Related Research at Lawrence Berkeley National Laboratory Risk-Related Research at Lawrence Berkeley National Laboratory Table of Contents Human Exposure Assessment Cancer Risk Assessment Extrapolation of Cancer Risks from Animals to Humans Biodosimetry to Assess Human Genotoxicity from Mutagenic or Clastogenic Agents Transgenic Mouse Models Biological Effects of Complex Chemical Mixtures Physiologically-Based Pharmacokinetic (PBPK) and Cancer Models Electromagnetic Fields Risks of Ionizing Radiation in Space Risk-Based Remediation Strategy for Kesterson Reservoir Wetland Restoration and Sediment Quality Integrated, Risk-Based Environmental Clean-up SELECT: Environmental Decision-Making Software Introduction The Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) conducts research to improve the scientific basis of risk assessment.

493

Legacy Risk Measure for Environmental Waste  

SciTech Connect

The Idaho National Engineering and Environmental Laboratory (INEEL) is investigating the development of a comprehensive and quantitative risk model framework for environmental management activities at the site. Included are waste management programs (high-level waste, transuranic waste, low-level waste, mixed low-level waste, spent nuclear fuel, and special nuclear materials), major environmental restoration efforts, major decontamination and decommissioning projects, and planned long-term stewardship activities. Two basic types of risk estimates are included: risks from environmental management activities, and long-term legacy risks from wastes/materials. Both types of risks are estimated using the Environment, Safety, and Health Risk Assessment Program (ESHRAP) developed at the INEEL. Given these two types of risk calculations, the following evaluations can be performed: risk evaluation of an entire program (covering waste/material as it now exists through disposal or other e nd states); risk comparisons of alternative programs or activities; comparisons of risk benefit versus risk cost for activities or entire programs; ranking of programs or activities by risk; ranking of wastes/materials by risk; evaluation of site risk changes with time as activities progress; and integrated performance measurement using indicators such as injury/death and exposure rates. This paper discusses the definition and calculation of legacy risk measures and associated issues. The legacy risk measure is needed to support three of the seven types of evaluations listed above: comparisons of risk benefit versus risk cost, ranking of wastes/materials by risk, and evaluation of site risk changes with time.

Eide, S. A.; Nitschke, R. L.

2002-02-26T23:59:59.000Z

494

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.

Not Available

2008-05-01T23:59:59.000Z

495

Risk Management Tool Attributes:  

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

- Tools & SMEs - Tools & SMEs Outline for Breakout Session TOOLS 1. Types of Tools a. Risk Management - Database & Reports, risk register, risk forms, risk tracking & monitoring, basis of estimate, action item tracking, historical record of risks & changes, configuration control, enterprise-wide, metrics, risk performance index, risk checklist, graphical display, management reporting (various levels), risk communications b. Risk Analysis i. Cost, ii. budgets, funding, cash-flow analysis, iii. Schedule iv. tailoring categories v. Integrated Cost & Schedule vi. Project phase analysis; organization ownership & joint planning c. Risk Knowledge and Lessons Learned Database i. Enterprise-wide ii. Job/owner-specific iii. Workshops - project specific, risk management,

496

Risk Identification and Assessment  

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

Mitigation Technique |Internal Control (if needed)| ||| ||| ||| References RiskOpportunity Categories People - Risks that affect the individual well being. Mission...

497

Euro Working Group for Commodities and Financial Modelling 2014  

E-Print Network (OSTI)

.A.; MEADE N. Factor Neutral Portfolios FOYE J. Rethinking the International Application of the Factor Models - ROOM 4064 CONTRIBUTED SESSION: ENERGY CHAIR: D'ECCLESIA R. PISCIELLA P.; VESPUCCI M. T.; BERTOCCHI M generation capacity expansion CALDANA R.; FUSAI G.; RONCORONI A. On the Rational Construction of Electricity

Schettini, Raimondo

498

CANCER RISKS AM I AT RISK?  

E-Print Network (OSTI)

CANCER RISKS AM I AT RISK? It is often hard to explain why one person develops cancer and another does not. There are risk factors that could increase a person's likelihood of developing cancer, however, some people may have many of these risk factors and never get cancer. When thinking about your

Hardy, Christopher R.

499

Principal wind turbines for a conditional portfolio approach to wind farms  

E-Print Network (OSTI)

We introduce a measure for estimating the best risk-return relation of power production in wind farms within a given time-lag, conditioned to the velocity field. The velocity field is represented by a scalar that weighs the influence of the velocity at each wind turbine at present and previous time-steps for the present "state" of the wind field. The scalar measure introduced is a linear combination of the few turbines, that most influence the overall power production. This quantity is then used as the condition for computing a conditional expected return and corresponding risk associated to the future total power output.

Lopes, Vitor V; Raischel, Frank; Lind, Pedro G

2014-01-01T23:59:59.000Z

500

Decision Support and Risk Management  

E-Print Network (OSTI)

of a restoration model ­ for the repair of a ruptured natural gas pipeline. The nodes represent events (dots sets of steps required to accomplish a goal, such as repairing a ruptured natural gas pipeline, whenDecision Support and Risk Management Restore©: Modeling Interdependent Repair/Restoration Processes