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1

Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer  

Open Energy Info (EERE)

Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model Jump to: navigation, search Tool Summary Name: Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model Agency/Company /Organization: Oak Ridge National Laboratory OpenEI Keyword(s): EERE tool, Market Acceptance of Advanced Automotive Technologies Model (MA3T) Consumer Choice Model, MA3T Project U.S. consumer demand for plug-in hybrid electric vehicles (PHEV) in competition among various light-duty vehicle technologies for hundreds of market segments based and multiple regions. For more information, contact the ORNL Energy and Transportation Science Division at http://www.ornl.gov/sci/ees/etsd/contactus.shtml References Retrieved from

2

The Market Acceptance of Advanced Automotive Technologies (MA3T) Model  

E-Print Network (OSTI)

to be learned about how consumers will evaluate novel vehicle technologies, such as plug-in hybrid electric vehicles (PHEV), extended-range electric vehicle (EREV), battery electric vehicles (BEV) and fuel cell-- passenger cars and light-duty trucks. MA3 T considers the U.S. household users of light- duty vehicles (LDV

3

Exploring the Paths to One Million Plug-in Electric Vehicles by 2015 Using MA3T Model  

Science Conference Proceedings (OSTI)

The U.S. government s goal, announced in 2011, of putting one million PEVs on the road by 2015 represents a key milestone for the deployment of PEVs in the U.S. However, the forecasts of PEV consumer adoption are not as optimistic as manufacturers announced production claims. With an overarching objective of exploring alternative paths towards one-million PEVs on the road in the U.S. by 2015, this paper presents a number of possible strategies and evaluates their impacts on PEV market share.

Dong, Jing [ORNL; Lin, Zhenhong [ORNL

2012-01-01T23:59:59.000Z

4

The Market Acceptance of Advanced Automotive Technologies (MA3T) Model  

E-Print Network (OSTI)

on campus pedestrian walkways. 3. DEFINITIONS Motorized vehicle: Electric or gas powered cars, trucks.15 AREA: Risk Management SUBJECT: Pedestrian Safety May 25, 2011 Page 1 of 3 1. PURPOSE This document between motorized vehicles and pedestrians. This policy applies to all System employees, students

5

Who Will More Likely Buy PHEV: A Detailed Market Segmentation Analysis  

DOE Green Energy (OSTI)

Understanding the diverse PHEV purchase behaviors among prospective new car buyers is key for designing efficient and effective policies for promoting new energy vehicle technologies. The ORNL MA3T model developed for the U.S. Department of Energy is described and used to project PHEV purchase probabilities by different consumers. MA3T disaggregates the U.S. household vehicle market into 1458 consumer segments based on region, residential area, driver type, technology attitude, home charging availability and work charging availability and is calibrated to the EIA s Annual Energy Outlook. Simulation results from MA3T are used to identify the more likely PHEV buyers and provide explanations. It is observed that consumers who have home charging, drive more frequently and live in urban area are more likely to buy a PHEV. Early adopters are projected to be more likely PHEV buyers in the early market, but the PHEV purchase probability by the late majority consumer can increase over time when PHEV gradually becomes a familiar product. Copyright Form of EVS25.

Lin, Zhenhong [ORNL; Greene, David L [ORNL

2010-01-01T23:59:59.000Z

6

Propane Market Model documentation report  

SciTech Connect

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

1993-12-01T23:59:59.000Z

7

Distillate Market Model documentation report  

SciTech Connect

The purpose of this report is to define the objectives of the Distillate Market Model (DMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The DMM performs a short-term (6- to 9-month) forecast of demand and retail price for distillate fuel oil in the national US market; it also calculates the end-of-month stock level during the term of the forecast. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on retail market price, demand, and stock level.

1993-12-01T23:59:59.000Z

8

Regions in Energy Market Models  

DOE Green Energy (OSTI)

This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

Short, W.

2007-02-01T23:59:59.000Z

9

Simulation Models of Market Power in Electric Markets  

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

Simulation Models of Market Power in Electric Markets Speaker(s): James Bushnell Date: October 26, 2004 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact: Bernard...

10

Sensitivity Analysis of H2-Vehicles' Market Prospects, Costs and Benefits - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

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

1 1 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program David L. Greene (Primary Contact), Zhenhong Lin, Jing Dong Oak Ridge National Laboratory National Transportation Research Center 2360 Cherahala Boulevard Knoxville, TN 37932 Phone: (865) 946-1310 Email: dlgreene@ornl.gov DOE Manager HQ: Fred Joseck Phone: (202) 586-7932 Email: Fred.Joseck@hq.doe.gov Subcontractor: Department of Industrial Engineering, University of Tennessee, Knoxville, TN Project Start Date: October, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Project market shares of hydrogen fuel cell vehicles * (FCVs) under varying market conditions using the Market Acceptance of Advanced Automotive Technologies (MA3T) model.

11

Motor Gasoline Market Model documentation report  

SciTech Connect

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

1993-09-01T23:59:59.000Z

12

Petroleum Market Module (Volume 1), Model Documentation  

Reports and Publications (EIA)

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

William Brown

2013-01-14T23:59:59.000Z

13

Modeling wealth distribution in growing markets  

E-Print Network (OSTI)

We introduce an auto-regressive model which captures the growing nature of realistic markets. In our model agents do not trade with other agents, they interact indirectly only through a market. Change of their wealth depends, linearly on how much they invest, and stochastically on how much they gain from the noisy market. The average wealth of the market could be fixed or growing. We show that in a market where investment capacity of agents differ, average wealth of agents generically follow the Pareto-law. In few cases, the individual distribution of wealth of every agent could also be obtained exactly. We also show that the underlying dynamics of other well studied kinetic models of markets can be mapped to the dynamics of our auto-regressive model.

Urna Basu; P. K. Mohanty

2008-03-27T23:59:59.000Z

14

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network (OSTI)

Feb 6, 2008 ... A Two Stage Stochastic Equilibrium Model for Electricity Markets with Two ... Price and Woods [10] for a duopoly market to an oligopoly market.

15

Economic Evaluation of California Avocado Industry Marketing Programs : 1961 - 1998  

E-Print Network (OSTI)

moving average, defined as: MA3t = (A t-1 + A t-2 + A t-3 )/the lag length implied by MA3t is consistent with related

Carman, Hoy F.; Craft, R. Kim

1998-01-01T23:59:59.000Z

16

Computing the Electricity Market Equilibrium: Uses of market equilibrium models  

E-Print Network (OSTI)

]. On the demand side, considerable demand is simply not exposed to wholesale price variation, which greatly complicates the spec- ification of a demand model. Furthermore, the specification of electricity markets Engineer- ing, The University of Texas at Austin, Austin, TX 78712, USA (email: baldick

Baldick, Ross

17

An agent-based approach to modeling electricity spot markets  

E-Print Network (OSTI)

(cont.) The model could also be used to analyze market factors (such as new market rules) and their effects on market price dynamics and market participants' behaviors, as well as to identify the "best" response action of ...

Visudhiphan, Poonsaeng, 1973-

2003-01-01T23:59:59.000Z

18

Stochastic Market Equilibrium Model For Generation Planning  

Science Conference Proceedings (OSTI)

It is widely accepted that medium-term generation planning can be advantageously modeled through market equilibrium representation. There exist several methods to define and solve this kind of equilibrium in a deterministic way. Medium-term planning ...

J. Barquín; E. Centeno; J. Reneses

2005-10-01T23:59:59.000Z

19

Revenue model innovations in the Chinese online game market  

Science Conference Proceedings (OSTI)

This paper examines how incumbent firms with different levels of market dominance respond to revenue model innovation, i.e. the process by which revenues are generated and captured, and investigates the relationship between market dominance and different ... Keywords: chinese online game market, evolutionary model innovation, levels of market dominance, revenue model innovation, revolutionary model innovation

Jessie Qun Ren; Philip Hardwick

2008-10-01T23:59:59.000Z

20

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-M059(2012) Part 2. PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . October 2012 . Office of Energy Analysis

Note: This page contains sample records for the topic "ma3t model market" 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

Plug-In Hybrid Electric Vehicle Market Introduction Study: Final Report  

SciTech Connect

Oak Ridge National Laboratory (ORNL), Sentech, Inc., Pacific Northwest National Laboratory (PNNL)/University of Michigan Transportation Research Institute (UMTRI), and the U.S. Department of Energy (DOE) have conducted a Plug-in Hybrid Electric Vehicle (PHEV) Market Introduction Study to identify and assess the effect of potential policies, regulations, and temporary incentives as key enablers for a successful market debut. The timeframe over which market-stimulating incentives would be implemented - and the timeframe over which they would be phased out - are suggested. Possible sources of revenue to help fund these mechanisms are also presented. In addition, pinch points likely to emerge during market growth are identified and proposed solutions presented. Finally, modeling results from ORNL's Market Acceptance of Advanced Automotive Technologies (MA3T) Model and UMTRI's Virtual AutoMotive MarketPlace (VAMMP) Model were used to quantify the expected effectiveness of the proposed policies and to recommend a consensus strategy aimed at transitioning what begins as a niche industry into a thriving and sustainable market by 2030. The primary objective of the PHEV Market Introduction Study is to identify the most effective means for accelerating the commercialization of PHEVs in order to support national energy and economic goals. Ideally, these mechanisms would maximize PHEV sales while minimizing federal expenditures. To develop a robust market acceleration program, incentives and policies must be examined in light of: (1) clarity and transparency of the market signals they send to the consumer; (2) expenditures and resources needed to support them; (3) expected impacts on the market for PHEVs; (4) incentives that are compatible and/or supportive of each other; (5) complexity of institutional and regulatory coordination needed; and (6) sources of funding.

Sikes, Karen [Sentech, Inc.; Gross, Thomas [Sentech, Inc.; Lin, Zhenhong [ORNL; Sullivan, John [University of Michigan Transportation Research Institute; Cleary, Timothy [Sentech, Inc.; Ward, Jake [U.S. Department of Energy

2010-02-01T23:59:59.000Z

22

Plug-In Hybrid Electric Vehicle Market Introduction Study: Final Report  

DOE Green Energy (OSTI)

Oak Ridge National Laboratory (ORNL), Sentech, Inc., Pacific Northwest National Laboratory (PNNL)/University of Michigan Transportation Research Institute (UMTRI), and the U.S. Department of Energy (DOE) have conducted a Plug-in Hybrid Electric Vehicle (PHEV) Market Introduction Study to identify and assess the effect of potential policies, regulations, and temporary incentives as key enablers for a successful market debut. The timeframe over which market-stimulating incentives would be implemented - and the timeframe over which they would be phased out - are suggested. Possible sources of revenue to help fund these mechanisms are also presented. In addition, pinch points likely to emerge during market growth are identified and proposed solutions presented. Finally, modeling results from ORNL's Market Acceptance of Advanced Automotive Technologies (MA3T) Model and UMTRI's Virtual AutoMotive MarketPlace (VAMMP) Model were used to quantify the expected effectiveness of the proposed policies and to recommend a consensus strategy aimed at transitioning what begins as a niche industry into a thriving and sustainable market by 2030. The primary objective of the PHEV Market Introduction Study is to identify the most effective means for accelerating the commercialization of PHEVs in order to support national energy and economic goals. Ideally, these mechanisms would maximize PHEV sales while minimizing federal expenditures. To develop a robust market acceleration program, incentives and policies must be examined in light of: (1) clarity and transparency of the market signals they send to the consumer; (2) expenditures and resources needed to support them; (3) expected impacts on the market for PHEVs; (4) incentives that are compatible and/or supportive of each other; (5) complexity of institutional and regulatory coordination needed; and (6) sources of funding.

Sikes, Karen [Sentech, Inc.; Gross, Thomas [Sentech, Inc.; Lin, Zhenhong [ORNL; Sullivan, John [University of Michigan Transportation Research Institute; Cleary, Timothy [Sentech, Inc.; Ward, Jake [U.S. Department of Energy

2010-02-01T23:59:59.000Z

23

Modelling Information Flows in Financial Markets  

E-Print Network (OSTI)

This paper presents an overview of information-based asset pricing. In this approach, an asset is defined by its cash-flow structure. The market is assumed to have access to "partial" information about future cash flows. Each cash flow is determined by a collection of independent market factors called X-factors. The market filtration is generated by a set of information processes, each of which carries information about one of the X-factors, and eventually reveals the X-factor. Each information process has two terms, one of which contains a "signal" about the associated X-factor, and the other of which represents "market noise". The price of an asset is given by the expectation of the discounted cash flows in the risk-neutral measure, conditional on the information provided by the market. When the market noise is modelled by a Brownian bridge one is able to construct explicit formulae for asset prices, as well as semi-analytic expressions for the prices and greeks of options and derivatives. In particular, op...

Brody, Dorje C; Macrina, Andrea

2010-01-01T23:59:59.000Z

24

Modelling Correlation in Carbon and Energy Markets  

E-Print Network (OSTI)

, reflecting usage of installed generation capacity. The two hydrocarbon fuels, whose price interactions with carbon emission allowances are under consideration in this study, natural gas and hard coal, together account for approximately 35% of total fuel input... Modelling Correlation in Carbon and Energy Markets Philipp Koenig February 2011 CWPE 1123 & EPRG 1107 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract Modelling Correlation...

Koenig, Philipp

2011-02-10T23:59:59.000Z

25

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

regional differences in energy markets and climates, as welldiverse climates and energy markets. These differences areanalyze the effect of other energy market policies in future

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

26

Beyond Testing: Empirical Models of Insurance Markets  

E-Print Network (OSTI)

life insurance market: asymmetric information revisited. J.of insurance markets with incomplete information. J. Econ.Keywords: Insurance markets; Asymmetric information; Adverse

Einav, Liran; Finkelstein, Amy; Levin, Jonathan

2009-01-01T23:59:59.000Z

27

Agent-based Models of Financial Markets  

E-Print Network (OSTI)

This review deals with several microscopic (``agent-based'') models of financial markets which have been studied by economists and physicists over the last decade: Kim-Markowitz, Levy-Levy-Solomon, Cont-Bouchaud, Solomon-Weisbuch, Lux-Marchesi, Donangelo-Sneppen and Solomon-Levy-Huang. After an overview of simulation approaches in financial economics, we first give a summary of the Donangelo-Sneppen model of monetary exchange and compare it with related models in economics literature. Our selective review then outlines the main ingredients of some influential early models of multi-agent dynamics in financial markets (Kim-Markowitz, Levy-Levy-Solomon). As will be seen, these contributions draw their inspiration from the complex appearance of investors' interactions in real-life markets. Their main aim is to reproduce (and, thereby, provide possible explanations) for the spectacular bubbles and crashes seen in certain historical episodes, but they lack (like almost all the work before 1998 or so) a perspective ...

Samanidou, E; Stauffer, D; Lux, T

2008-01-01T23:59:59.000Z

28

NREL: Energy Analysis - Market Analysis Models and Tools  

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

Energy Analysis Search More Search Options Site Map Printable Version Market Analysis Models and Tools The following is a list of models and tools that are used for market...

29

Liquid Fuels Market Model (LFMM) Unveiling LFMM  

Gasoline and Diesel Fuel Update (EIA)

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

30

A quantum model for the stock market  

E-Print Network (OSTI)

Beginning with several basic hypotheses of quantum mechanics, we give a new quantum model in econophysics. In this model, we define wave functions and operators of the stock market to establish the Schr\\"odinger equation for the stock price. Based on this theoretical framework, an example of a driven infinite quantum well is considered, in which we use a cosine distribution to simulate the state of stock price in equilibrium. After adding an external field into the Hamiltonian to analytically calculate the wave function, the distribution and the average value of the rate of return are shown.

Chao Zhang; Lu Huang

2010-09-24T23:59:59.000Z

31

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

32

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

33

Production cost models with regard to liberalised electricity markets.  

E-Print Network (OSTI)

??This book makes a contribution to the formulation and implementation of production cost models for the modelling of liberalized electricity markets by addressing issues associated… (more)

Martinez Diaz, David José

2008-01-01T23:59:59.000Z

34

Coal Market Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy

35

Figure 6. Electricity Market Model Supply Regions  

E-Print Network (OSTI)

The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2010, DOE/EIA-M068(2010). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

unknown authors

2010-01-01T23:59:59.000Z

36

Electricity Markets Analysis (EMA) Model | Open Energy Information  

Open Energy Info (EERE)

Electricity Markets Analysis (EMA) Model Electricity Markets Analysis (EMA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Electricity Markets Analysis (EMA) Model Agency/Company /Organization: Research Triangle Institute Sector: Energy Topics: Co-benefits assessment, - Energy Access, Market analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Electricity Markets Analysis (EMA) Model Screenshot References: Electricity Markets Analysis (EMA) Model[1]

37

Modeling the U.S. Rooftop Photovoltaics Market  

DOE Green Energy (OSTI)

Global rooftop PV markets are growing rapidly, fueled by a combination of declining PV prices and several policy-based incentives. The future growth, and size, of the rooftop market is highly dependent on continued PV cost reductions, financing options, net metering policy, carbon prices and future incentives. Several PV market penetration models, sharing a similar structure and methodology, have been developed over the last decade to quantify the impacts of these factors on market growth. This study uses a geospatially rich, bottom-up, PV market penetration model--the Solar Deployment Systems (SolarDS) model developed by the National Renewable Energy Laboratory--to explore key market and policy-based drivers for residential and commercial rooftop PV markets. The identified drivers include a range of options from traditional incentives, to attractive customer financing options, to net metering and carbon policy.

Drury, E.; Denholm, P.; Margolis, R.

2010-09-01T23:59:59.000Z

38

A Game-Theoretical Dynamic Model for Electricity Markets  

E-Print Network (OSTI)

Oct 6, 2010 ... A Game-Theoretical Dynamic Model for Electricity Markets ... forecast horizon, bidding frequency, and some other factors on the price signals.

39

Asymmetric information in fads models in Lâevy markets.  

E-Print Network (OSTI)

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

Buckley, Winston S.

2009-01-01T23:59:59.000Z

40

Petroleum Market Model of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

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

NONE

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Volatility Effects on the Escape Time in Financial Market Models  

E-Print Network (OSTI)

We shortly review the statistical properties of the escape times, or hitting times, for stock price returns by using different models which describe the stock market evolution. We compare the probability function (PF) of these escape times with that obtained from real market data. Afterwards we analyze in detail the effect both of noise and different initial conditions on the escape time in a market model with stochastic volatility and a cubic nonlinearity. For this model we compare the PF of the stock price returns, the PF of the volatility and the return correlation with the same statistical characteristics obtained from real market data.

Spagnolo, Bernardo

2008-01-01T23:59:59.000Z

42

Promoting the Market for Plug-in Hybrid and Battery Electric Vehicles: Role of Recharge Availability  

Science Conference Proceedings (OSTI)

Much recent attention has been drawn to providing adequate recharge availability as a means to promote the battery electric vehicle (BEV) and plug-in hybrid electric vehicle (PHEV) market. The possible role of improved recharge availability in developing the BEV-PHEV market and the priorities that different charging options should receive from the government require better understanding. This study reviews the charging issue and conceptualizes it into three interactions between the charge network and the travel network. With travel data from 3,755 drivers in the National Household Travel Survey, this paper estimates the distribution among U.S. consumers of (a) PHEV fuel-saving benefits by different recharge availability improvements, (b) range anxiety by different BEV ranges, and (c) willingness to pay for workplace and public charging in addition to home recharging. With the Oak Ridge National Laboratory MA3T model, the impact of three recharge improvements is quantified by the resulting increase in BEV-PHEV sales. Compared with workplace and public recharging improvements, home recharging improvement appears to have a greater impact on BEV-PHEV sales. The impact of improved recharging availability is shown to be amplified by a faster reduction in battery cost.

Lin, Zhenhong [ORNL; Greene, David L [ORNL

2012-01-01T23:59:59.000Z

43

How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market  

E-Print Network (OSTI)

Equilibrium in Electricity Markets,” Journal of RegulatoryModels for Electricity Markets: Stability, Non-DecreasingBritish Electricity Spot Market,” The Journal of Industrial

Sioshansi, Ramteen; Oren, Shmuel

2007-01-01T23:59:59.000Z

44

Market Acceptance of Advanced Automotive Technologies Model ...  

Open Energy Info (EERE)

of market segments based and multiple regions. For more information, contact the ORNL Energy and Transportation Science Division at http:www.ornl.govscieesetsd...

45

Analyzing money distributions in `ideal gas' models of markets  

E-Print Network (OSTI)

We analyze an ideal gas like models of a trading market. We propose a new fit for the money distribution in the fixed or uniform saving market. For the marketwith quenched random saving factors for its agents we show that the steady state income ($m$) distribution $P(m)$ in the model has a power law tail with Pareto index $\

Chatterjee, A; Stinchcombe, Robert B; Chatterjee, Arnab; Chakrabarti, Bikas K.; Stinchcombe, Robin B.

2005-01-01T23:59:59.000Z

46

Model documentation: electricity market module. [15 year forecasts  

SciTech Connect

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

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

1984-12-01T23:59:59.000Z

47

Electricity market equilibrium models: The effect of parametrization  

E-Print Network (OSTI)

of Electrical and Computer Engineering The University of Texas at Austin Abstract-- In this paper, I use] and applies it to a bid-based pool (BBP) model. The BBP model is representative of energy market struc- ture

Baldick, Ross

48

Inventory and facility location models with market selection  

Science Conference Proceedings (OSTI)

We consider important generalizations of a wide class of traditional deterministic inventory and facility location models that we call inventory/facility location models with market selection. Instead of the traditional setting, we are given a ...

Retsef Levi; Joseph Geunes; H. Edwin Romeijn; David B. Shmoys

2005-06-01T23:59:59.000Z

49

Petroleum Market Module Model Documentation (Volume 1) 2006  

Reports and Publications (EIA)

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

Anthony Radich

2006-03-01T23:59:59.000Z

50

Petroleum Market Module Model Documentation (Volume 1) 2007  

Reports and Publications (EIA)

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

Anthony Radich

2007-03-01T23:59:59.000Z

51

Petroleum Market Module Model Documentation (Volume 1) 2009  

Reports and Publications (EIA)

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

Information Center

2009-08-12T23:59:59.000Z

52

Petroleum Market Module (Volume 2), Model Documentation 2007  

Reports and Publications (EIA)

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

Anthony Radich

2007-03-01T23:59:59.000Z

53

Petroleum Market Module (Volume 2), Model Documentation 2005  

Reports and Publications (EIA)

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

Han-Lin Lee

2005-05-01T23:59:59.000Z

54

Petroleum Market Module Model Documentation (Volume 1) 2005  

Reports and Publications (EIA)

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

Han-Lin Lee

2005-05-01T23:59:59.000Z

55

Petroleum Market Module (Volume 2), Model Documentation 2009  

Reports and Publications (EIA)

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

Anthony Radich

2009-08-12T23:59:59.000Z

56

Petroleum Market Module (Volume 2), Model Documentation 2008  

Reports and Publications (EIA)

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

Anthony Radich

2009-02-20T23:59:59.000Z

57

Petroleum Market Module Model Documentation (Volume 1) 2008  

Reports and Publications (EIA)

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

Anthony Radich

2009-02-20T23:59:59.000Z

58

Petroleum Market Module (Volume 2), Model Documentation 2006  

Reports and Publications (EIA)

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

Anthony Radich

2006-03-01T23:59:59.000Z

59

Multi-agent electricity market modeling with EMCAS.  

Science Conference Proceedings (OSTI)

Electricity systems are a central component of modern economies. Many electricity markets are transitioning from centrally regulated systems to decentralized markets. Furthermore, several electricity markets that have recently undergone this transition have exhibited extremely unsatisfactory results, most notably in California. These high stakes transformations require the introduction of largely untested regulatory structures. Suitable tools that can be used to test these regulatory structures before they are applied to real systems are required. Multi-agent models can provide such tools. To better understand the requirements such as tool, a live electricity market simulation was created. This experience helped to shape the development of the multi-agent Electricity Market Complex Adaptive Systems (EMCAS) model. To explore EMCAS' potential, several variations of the live simulation were created. These variations probed the possible effects of changing power plant outages and price setting rules on electricity market prices.

North, M.; Macal, C.; Conzelmann, G.; Koritarov, V.; Thimmapuram, P.; Veselka, T.

2002-09-05T23:59:59.000Z

60

Photovoltaic subsystem marketing and distribution model: programming manual. Final report  

DOE Green Energy (OSTI)

Complete documentation of the marketing and distribution (M and D) computer model is provided. The purpose is to estimate the costs of selling and transporting photovoltaic solar energy products from the manufacturer to the final customer. The model adjusts for the inflation and regional differences in marketing and distribution costs. The model consists of three major components: the marketing submodel, the distribution submodel, and the financial submodel. The computer program is explained including the input requirements, output reports, subprograms and operating environment. The program specifications discuss maintaining the validity of the data and potential improvements. An example for a photovoltaic concentrator collector demonstrates the application of the model.

Not Available

1982-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Modeling strategic forward contracting in transmission constrained power markets  

Science Conference Proceedings (OSTI)

Taking the effects of transmission network into account, strategic forward contracting induced by the interaction of generation firms' strategies in the spot and forward markets is investigated. A two-stage game model is proposed to describe generation ... Keywords: equilibrium problem with equilibrium constraints (EPEC), nonlinear complementarity method, power market, strategic forward contracting

Wang Xian; Zhang Shaohua

2009-06-01T23:59:59.000Z

62

Market Model Simulation: The Impact of Increased Automotive ...  

Science Conference Proceedings (OSTI)

In order to reduce energy consumption of gasoline, the U.S. Congress passed the ... from information in a Solomon Smith Barney report on Australian Magnesium, United States .... The market model was used to analyze three scenarios. First ...

63

Integrated Modeling of Electric Power System Operations and Electricity Market Risks with Applications .  

E-Print Network (OSTI)

??Through integrated modeling of power system operations and market risks, this thesis addresses a variety of important issues on market signals modeling, generation capacity scheduling,… (more)

Sun, Haibin

2006-01-01T23:59:59.000Z

64

Two market models for demand response in power networks  

E-Print Network (OSTI)

Abstract — In this paper, we consider two abstract market models for designing demand response to match power supply and shape power demand, respectively. We characterize the resulting equilibria in competitive as well as oligopolistic markets, and propose distributed demand response algorithms to achieve the equilibria. The models serve as a starting point to include the appliance-level details and constraints for designing practical demand response schemes for smart power grids. I.

Lijun Chen; Na Li; Steven H. Low; John C. Doyle

2010-01-01T23:59:59.000Z

65

E-laboratories : agent-based modeling of electricity markets.  

SciTech Connect

Electricity markets are complex adaptive systems that operate under a wide range of rules that span a variety of time scales. These rules are imposed both from above by society and below by physics. Many electricity markets are undergoing or are about to undergo a transition from centrally regulated systems to decentralized markets. Furthermore, several electricity markets have recently undergone this transition with extremely unsatisfactory results, most notably in California. These high stakes transitions require the introduction of largely untested regulatory structures. Suitable laboratories that can be used to test regulatory structures before they are applied to real systems are needed. Agent-based models can provide such electronic laboratories or ''e-laboratories.'' To better understand the requirements of an electricity market e-laboratory, a live electricity market simulation was created. This experience helped to shape the development of the Electricity Market Complex Adaptive Systems (EMCAS) model. To explore EMCAS' potential as an e-laboratory, several variations of the live simulation were created. These variations probed the possible effects of changing power plant outages and price setting rules on electricity market prices.

North, M.; Conzelmann, G.; Koritarov, V.; Macal, C.; Thimmapuram, P.; Veselka, T.

2002-05-03T23:59:59.000Z

66

E-laboratories : agent-based modeling of electricity markets.  

SciTech Connect

Electricity markets are complex adaptive systems that operate under a wide range of rules that span a variety of time scales. These rules are imposed both from above by society and below by physics. Many electricity markets are undergoing or are about to undergo a transition from centrally regulated systems to decentralized markets. Furthermore, several electricity markets have recently undergone this transition with extremely unsatisfactory results, most notably in California. These high stakes transitions require the introduction of largely untested regulatory structures. Suitable laboratories that can be used to test regulatory structures before they are applied to real systems are needed. Agent-based models can provide such electronic laboratories or ''e-laboratories.'' To better understand the requirements of an electricity market e-laboratory, a live electricity market simulation was created. This experience helped to shape the development of the Electricity Market Complex Adaptive Systems (EMCAS) model. To explore EMCAS' potential as an e-laboratory, several variations of the live simulation were created. These variations probed the possible effects of changing power plant outages and price setting rules on electricity market prices.

North, M.; Conzelmann, G.; Koritarov, V.; Macal, C.; Thimmapuram, P.; Veselka, T.

2002-05-03T23:59:59.000Z

67

Model documentation: Electricity Market Module, Electricity Fuel Dispatch Submodule  

SciTech Connect

This report documents the objectives, analytical approach and development of the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Not Available

1994-04-08T23:59:59.000Z

68

A Model of Marketing Oriented Corporate Culture Influences on Information Technology Adoption  

E-Print Network (OSTI)

A Model of Marketing Oriented Corporate Culture Influences on Information Technology Adoption Kofi a model to investigate the influence of corporate orientation (marketing orientation) on Internet adoption effectiveness. Five constructs for independent variables and one construct for marketing orientation

69

Microeconomics of the ideal gas like market models  

E-Print Network (OSTI)

We develop a framework based on microeconomic theory from which the ideal gas like market models can be addressed. A kinetic exchange model based on that framework is proposed and its distributional features have been studied by considering its moments. Next, we derive the moments of the CC model (Eur. Phys. J. B 17 (2000) 167) as well. Some precise solutions are obtained which conform with the solutions obtained earlier. Finally, an output market is introduced with global price determination in the model with some necessary modifications.

Chakrabarti, Anindya S

2009-01-01T23:59:59.000Z

70

Modeling and Analysis Session: Market, Value, and Policy Analysis (Presentation)  

DOE Green Energy (OSTI)

The Primary objectives: to provide a broad range of analytical support to the Solar Program; and to anticipate and respond to the rapidly evolving analytical needs of the Solar Program. Three broad types of analysis are being carried out under this project including: (1) Market analysis: Developing a PV market penetration model--the SolarDS model--and other tools, in order to gain insight into the factors influencing market penetration of PV technology in U.S. markets. (2) Value analysis: Providing inputs to, support for, and review of the annual GPRA benefits analysis. Also developing methods and tools for improving the quantification of the benefits and cost of solar technologies. (3) Policy analysis: Defining and carrying out analysis that meets the needs of the Solar Energy Technologies Program in a timely fashion, for example evaluating the potential role of solar in the energy economy in the long-term.

Margolis, R. M.

2008-04-01T23:59:59.000Z

71

Market  

... and its contributions to society and the economy; The marketing group values suggestions from researchers regarding companies to approach.

72

Advanced Modeling of Renewable Energy Market Dynamics: May 2006  

SciTech Connect

This report documents a year-long academic project, presenting selected techniques for analysis of market growth, penetration, and forecasting applicable to renewable energy technologies. Existing mathematical models were modified to incorporate the effects of fiscal policies and were evaluated using available data. The modifications were made based on research and classification of current mathematical models used for predicting market penetration. An analysis of the results was carried out, based on available data. MATLAB versions of existing and new models were developed for research and policy analysis.

Evans, M.; Little, R.; Lloyd, K.; Malikov, G.; Passolt, G.; Arent, D.; Swezey, B.; Mosey, G.

2007-08-01T23:59:59.000Z

73

An Equilibrium Model of Investment in Restructured Electricity Markets  

E-Print Network (OSTI)

in Deregulated Wholesale Electricity Markets,” RAND JournalBehavior in a Competitive Electricity Market,” InternationalMarket Power in Electricity Markets: Beyond Concentration

Bushnell, Jim B; Ishii, Jun

2007-01-01T23:59:59.000Z

74

Petroleum Market Module Model Documentation (Volume 1) 1997  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1997-01-01T23:59:59.000Z

75

Petroleum Market Module Model Documentation (Volume 1) 2002  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2002-03-01T23:59:59.000Z

76

Petroleum Market Module Model Documentation (Volume 1) 2004  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2004-03-01T23:59:59.000Z

77

Petroleum Market Module Model Documentation (Volume 1) 1998  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1997-12-01T23:59:59.000Z

78

Petroleum Market Module Model Documentation (Volume 1) 2001  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2001-02-01T23:59:59.000Z

79

Petroleum Market Module Model Documentation (Volume 1) 2000  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1999-12-01T23:59:59.000Z

80

Petroleum Market Module Model Documentation (Volume 1) 2003  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2003-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Petroleum Market Module Model Documentation (Volume 1) 1995  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1995-12-01T23:59:59.000Z

82

Petroleum Market Module (Volume 2), Model Documentation 2003  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2003-02-01T23:59:59.000Z

83

Petroleum Market Module (Volume 2), Model Documentation 2002  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2002-03-01T23:59:59.000Z

84

Petroleum Market Module (Volume 2), Model Documentation 2004  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

2004-03-01T23:59:59.000Z

85

Petroleum Market Module Model Documentation (Volume 1) 1994  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1994-12-01T23:59:59.000Z

86

Petroleum Market Module Model Documentation (Volume 1) 1999  

Reports and Publications (EIA)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA's legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2).

Han-Lin Lee

1998-12-01T23:59:59.000Z

87

MODELING OF FORWARD CONTRACTS IN ELECTRICITY MARKETS.  

E-Print Network (OSTI)

??Since the deregulation of electricity, new models were needed to quantify the price of contracts with speci ed delivery period of electricity. In this thesis… (more)

Fjeldskĺr, Hanne

2009-01-01T23:59:59.000Z

88

Commodity market modeling and physical trading strategies  

E-Print Network (OSTI)

Investment and operational decisions involving commodities are taken based on the forward prices of these commodities. These prices are volatile, and a model of their evolution must correctly account for their volatility ...

Ellefsen, Per Einar

2010-01-01T23:59:59.000Z

89

Methodology for modeling geothermal district heating for residential markets  

DOE Green Energy (OSTI)

Methodology is presented for geothermal district heat service and for evaluating the economic market potential for such nonelectrical utilization of the geothermal resource. It is based upon accurate determination of the heating demand and its spatial and temporal profile in each potential market, determination of the cost to provide such service, and correlation of markets and resource sites. Two components of the model are discussed in this report. the residential demand submodel and data base, which includes building characteristics and population distribution on a census tract or minor civil division grid for the nation, projects heating demand densities, and temporal profiles along with the building service modifications and costs. The service submodel and data base designs and costs a subtransmission and distribution network, and it evaluates operating losses at design conditions.

Karkheck, J.; Tessmer, R.G. Jr.

1978-08-01T23:59:59.000Z

90

Kinetic market models with single commodity having price fluctuations  

E-Print Network (OSTI)

We study here numerically the behavior of an ideal gas like model of markets having only one non-consumable commodity. We investigate the behavior of the steady-state distributions of money, commodity and total wealth, as the dynamics of trading or exchange of money and commodity proceeds, with local (in time) fluctuations in the price of the commodity. These distributions are studied in markets with agents having uniform and random saving factors. The self-organizing features in money distribution are similar to the cases without any commodity (or with consumable commodities), the commodity distribution shows an exponential decay. The wealth distribution shows interesting behavior: Gamma like distribution for uniform saving propensity and has the same power-law tail, as that of the money distribution for a market with agents having random saving propensity.

Chatterjee, A; Chakrabarti, Bikas K.; Chatterjee, Arnab

2006-01-01T23:59:59.000Z

91

Forecasting Financial Time-Series using Artificial Market Models  

E-Print Network (OSTI)

We discuss the theoretical machinery involved in predicting financial market movements using an artificial market model which has been trained on real financial data. This approach to market prediction - in particular, forecasting financial time-series by training a third-party or 'black box' game on the financial data itself -- was discussed by Johnson et al. in cond-mat/0105303 and cond-mat/0105258 and was based on some encouraging preliminary investigations of the dollar-yen exchange rate, various individual stocks, and stock market indices. However, the initial attempts lacked a clear formal methodology. Here we present a detailed methodology, using optimization techniques to build an estimate of the strategy distribution across the multi-trader population. In contrast to earlier attempts, we are able to present a systematic method for identifying 'pockets of predictability' in real-world markets. We find that as each pocket closes up, the black-box system needs to be 'reset' - which is equivalent to sayi...

Gupta, N; Johnson, N F; Gupta, Nachi; Hauser, Raphael; Johnson, Neil F.

2005-01-01T23:59:59.000Z

92

The National Energy Modeling System: An Overview 2000 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

petroleum market module (PMM) represents domestic refinery operations and the marketing of petroleum products to consumption regions. PMM solves for petroleum product prices, crude oil and product import activity (in conjunction with the international energy module and the oil and gas supply module), and domestic refinery capacity expansion and fuel consumption. The solution is derived, satisfying the demand for petroleum products and incorporating the prices for raw material inputs and imported petroleum products, the costs of investment, and the domestic production of crude oil and natural gas liquids. The relationship of PMM to other NEMS modules is illustrated in Figure 17. petroleum market module (PMM) represents domestic refinery operations and the marketing of petroleum products to consumption regions. PMM solves for petroleum product prices, crude oil and product import activity (in conjunction with the international energy module and the oil and gas supply module), and domestic refinery capacity expansion and fuel consumption. The solution is derived, satisfying the demand for petroleum products and incorporating the prices for raw material inputs and imported petroleum products, the costs of investment, and the domestic production of crude oil and natural gas liquids. The relationship of PMM to other NEMS modules is illustrated in Figure 17. Figure 17. Petroleum Market Module Structure PMM is a regional, linear-programming representation of the U.S. petroleum market. Refining operations are represented by a three-region linear programming formulation of the five Petroleum Administration for Defense Districts (PADDs) (Figure 18). PADDs I and V are each treated as single regions, while PADDs II, III, and IV are aggregated into one region. Each region is considered as a single firm where more than 30 distinct refinery processes are modeled. Refining capacity is allowed to expand in each region, but the model does not distinguish between additions to existing refineries or the building of new facilities. Investment criteria are developed exogenously, although the decision to invest is endogenous.

93

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

94

Arbitrage free cointegrated models in gas and oil future markets  

E-Print Network (OSTI)

In this article we present a continuous time model for natural gas and crude oil future prices. Its main feature is the possibility to link both energies in the long term and in the short term. For each energy, the future returns are represented as the sum of volatility functions driven by motions. Under the risk neutral probability, the motions of both energies are correlated Brownian motions while under the historical probability, they are cointegrated by a Vectorial Error Correction Model. Our approach is equivalent to defining the market price of risk. This model is free of arbitrage: thus, it can be used for risk management as well for option pricing issues. Calibration on European market data and numerical simulations illustrate well its behavior.

Benmenzer, Grégory; Jérusalem, Céline

2007-01-01T23:59:59.000Z

95

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

SciTech Connect

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

NONE

1994-12-30T23:59:59.000Z

96

Search-Theoretic Models of the Labor Market: a Survey  

E-Print Network (OSTI)

We survey the literature on search-theoretic models of the labor market. We show how this approach addresses many issues, including the following: Why do workers sometimes choose to remain unemployed? What determines the lengths of employment and unemployment spells? How can there simultaneously exist unemployed workers and unfilled vacancies? What determines aggregate unemployment and vacancies? How can homogeneous workers earn different wages? What are the tradeoffs firms face from different wages? How do wages and turnover interact? What determines efficient turnover? We discuss various modeling choices concerning wage determination and the meeting process, including recent models of directed search.

Richard Rogerson; Robert Shimer; Randall Wright

2005-01-01T23:59:59.000Z

97

An order flow model and a liquidity measure of financial markets  

E-Print Network (OSTI)

The thesis seeks a better understanding of liquidity generation process of financial markets and attempts to find a quantitative measure of market liquidity. Various statistical modeling techniques are introduced to model ...

Kim, Adlar Jeewook

2008-01-01T23:59:59.000Z

98

Reinterpretation of Sieczka-Ho{\\l}yst financial market model  

E-Print Network (OSTI)

In this work we essentially reinterpreted the Sieczka-Ho{\\l}yst (SH) model to make it more suited for description of real markets. For instance, this reinterpretation made it possible to consider agents as crafty. These agents encourage their neighbors to buy some stocks if agents have an opportunity to sell these stocks. Also, agents encourage them to sell some stocks if agents have an opposite opportunity. Furthermore, in our interpretation price changes respond only to the agents' opinions change. This kind of respond protects the stock market dynamics against the paradox (present in the SH model), where all agents e.g. buy stocks while the corresponding prices remain unchanged. In this work we found circumstances, where distributions of returns (obtained for quite different time scales) either obey power-law or have at least fat tails. We obtained these distributions from numerical simulations performed in the frame of our approach.

Denys, Mateusz; Kutner, Ryszard

2013-01-01T23:59:59.000Z

99

A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets  

Science Conference Proceedings (OSTI)

We present a new multiseasonal, multiyear, natural gas market equilibrium model based on the concept of a competitive equilibrium involving the market participants: producers, storage reservoir operators, peak gas operators, pipeline operators, marketers, ... Keywords: games/group decisions: noncooperative, industries: petroleum/natural gas, marketing: competitive strategy, natural resources: energy, programming: complementarity

Steven A. Gabriel; Supat Kiet; Jifang Zhuang

2005-09-01T23:59:59.000Z

100

Petroleum Market Model of the National Energy Modeling System. Part 2  

SciTech Connect

This report contains the following: Bibliography; Petroleum Market Model abstract; Data quality; Estimation methodologies (includes refinery investment recovery thresholds, gas plant models, chemical industry demand for methanol, estimation of refinery fixed costs, estimation of distribution costs, estimation of taxes gasoline specifications, estimation of gasoline market shares, estimation of low-sulfur diesel market shares, low-sulfur diesel specifications, estimation of regional conversion coefficients, estimation of SO{sub 2} allowance equations, unfinished oil imports methodology, product pipeline capacities and tariffs, cogeneration methodology, natural gas plant fuel consumption, and Alaskan crude oil exports); Matrix generator documentation; Historical data processing; and Biofuels supply submodule.

1997-12-18T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Petroleum Market Model (PMM) - 2002 EIA Models Directory  

U.S. Energy Information Administration (EIA)

Model Structure: FORTRAN callable subroutines, which update the linear programming matrix, re ... and State Energy Price and Expenditure Report.

102

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM Part ...  

U.S. Energy Information Administration (EIA)

NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . ... the PMM LP and the re-optimization of the LP matrix are accomplished by executing FORTRAN callable

103

Coal Market Module of the National Energy Modeling System Model ...  

U.S. Energy Information Administration (EIA)

Appendix 3.E. Optimization and Modeling Library (OML) ... Energy Outlook 2002 Projections of Coal Production, Distribution, and Prices for the National

104

Modeling Structural Changes in Market Demand and Supply  

E-Print Network (OSTI)

Economic events may cause structural changes in markets. To know the effect of the economic event we should analyze the structural changes in the market demand and supply. The purpose of this dissertation is to analyze the effect of selected economic events on market demand and supply using econometric models. Structural changes can be modeled according to the types of changes. For an abrupt and instantaneous break, a dummy variable model can be used. For a smooth and gradual movement, proxy variables which represent the event can be applied, if we know the variables. If we don?t know the appropriate proxy variables, a smooth transition regression model can be employed. The BSE (Bovine Spongiform Encephalopathy) outbreak in the U.S. in 2003 is assumed to make abrupt and instantaneous changes in Korean meat consumption. To analyze the effect on Korean meat consumption, the Korean demands of beef, pork, chicken, and U.S. beef are estimated using an LA/AIDS (Linear Approximate Almost Ideal Demand System) model with the dummy variable specifying the time before and after the BSE. From the results we can confirm that food safety concerns caused by the BSE case changed Korean meat consumption structure. Korean beef and U.S. beef became less elastic, and pork and chicken got more elastic to budget. Korean beef became less price elastic, but pork and U.S. beef got more price elastic. The changes of U.S. natural gas supply caused by technology development and depletion in reserves are analyzed using a smooth transition regression model. From the results, we can confirm that the productivity improvement by technology development is greater than the labor cost increase by depletion, but not greater than the capital cost increase by depletion in mid-2000s. The effects of posting the winning bid in a repeated Vickrey auction are examined using a proxy variable. By applying an unobserved effect Tobit model to the experimental auction done by Corrigan and Rousu (2006) for a candy bar, we can confirm that the changes of bidding behavior are significant, especially when the winning bid is high. By extracting the bid affiliation effects, we showed that true willingness to pay can be estimated.

Park, Beom Su

2010-08-01T23:59:59.000Z

105

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

Science Conference Proceedings (OSTI)

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

NONE

1995-12-28T23:59:59.000Z

106

Essays on Forecasting and Hedging Models in the Oil Market and Causality Analysis in the Korean Stock Market  

E-Print Network (OSTI)

In this dissertation, three related issues concerning empirical time series models for energy financial markets and the stock market were investigated. The purpose of this dissertation was to analyze the interdependence of price movements, focusing on the forecasting models for crude oil prices and the hedging models for gasoline prices, and to study the change in the contemporaneous causal relationship between investors' activities and stock price movements in the Korean stock market. In the first essay, the nature of forecasting crude oil prices based on financial data for the oil and oil product market is examined. As crack spread and oil-related Exchange-Traded Funds (ETFs) have enabled more consumers and investors to gain access to the crude oil and petroleum products markets, I investigated whether crack spread and oil ETFs were good predictors of oil prices and attempted to determine whether crack spread or oil ETFs were better at explaining oil price movements. In the second essay, the effectiveness of diverse hedging models for the unleaded gasoline price is examined using futures and ETFs. I calculated the optimal hedge ratios for gasoline futures and gasoline ETF utilizing several advanced econometric models and then compared their hedging performances. In the third essay, the contemporaneous causal relationship between multiple players' activities and stock price movements in the Korean stock market was investigated using the framework of a DAG model. The causal impacts of three players' activities in regard to stock return and stock price volatility are examined, concentrating on foreign investor activities. Within this framework, two Korean stock markets, the KSE and KOSDAQ markets, are analyzed and compared. Recognizing the global financial crisis of 2008, the change in casual relationships was examined in terms of pre- and post-break periods. In conclusion, when a multivariate econometric model is developed for multi-markets and multi-players, it is necessary to consider a number of attributes on data relations, including cointegration, causal relationship, time-varying correlation and variance, and multivariate non-normality. This dissertation employs several econometric models to specify these characteristics. This approach will be useful in further studies of the information transmission mechanism among multi-markets or multi-players.

Choi, Hankyeung

2012-08-01T23:59:59.000Z

107

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network (OSTI)

can be applied: agent-based models and equilibrium models.its contributions. Agent-based Models. Agent-based modelingof agent-based wholesale electricity market models. Energy

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

108

EIA model documentation: Electricity market module - electricity fuel dispatch  

Science Conference Proceedings (OSTI)

This report documents the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM) as it was used for EIA`s Annual Energy Outlook 1997. It replaces previous documentation dated March 1994 and subsequent yearly update revisions. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This document serves four purposes. First, it is a reference document providing a detailed description of the model for reviewers and potential users of the EFD including energy experts at the Energy Information Administration (EIA), other Federal agencies, state energy agencies, private firms such as utilities and consulting firms, and non-profit groups such as consumer and environmental groups. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation which details model enhancements that were undertaken for AE097 and since the previous documentation. Last, because the major use of the EFD is to develop forecasts, this documentation explains the calculations, major inputs and assumptions which were used to generate the AE097.

NONE

1997-01-01T23:59:59.000Z

109

Symbolic Dynamics in a Matching Labour Market Model  

E-Print Network (OSTI)

In this paper we apply the techniques of symbolic dynamics to the analysis of a labor market which shows large volatility in employment flows. In a recent paper, Bhattacharya and Bunzel \\cite{BB} have found that the discrete time version of the Pissarides-Mortensen matching model can easily lead to chaotic dynamics under standard sets of parameter values. To conclude about the existence of chaotic dynamics in the numerical examples presented in the paper, the Li-Yorke theorem or the Mitra sufficient condition were applied which seems questionable because they may lead to misleading conclusions. Moreover, in a more recent version of the paper, Bhattacharya and Bunzel \\cite{BB1} present new results in which chaos is completely removed from the dynamics of the model. Our paper explores the matching model so interestingly developed by the authors with the following objectives in mind: (i) to show that chaotic dynamics may still be present in the model for standard parameter values; (ii) to clarify some open questions raised by the authors in \\cite{BB}, by providing a rigorous proof of the existence of chaotic dynamics in the model through the computation of topological entropy in a symbolic dynamics setting.

Diana A. Mendes; Vivaldo M. Mendes; J. Sousa Ramos

2006-08-01T23:59:59.000Z

110

Model documentation: Electricity Market Module, Electricity Capacity Planning submodule  

SciTech Connect

The National Energy Modeling System (NEMS) is a computer modeling system developed by the Energy Information Administration (EIA). The NEMS produces integrated forecasts for energy markets in the United States by achieving a general equilibrium solution for energy supply and demand. Currently, for each year during the period from 1990 through 2010, the NEMS describes energy supply, conversion, consumption, and pricing. The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The supply of electricity is a conversion activity since electricity is produced from other energy sources (e.g., fossil, nuclear, and renewable). The EMM represents the generation, transmission, and pricing of electricity. The EMM consists of four main submodules: Electricity Capacity Planning (ECP), Electricity Fuel Dispatching (EFD), Electricity Finance and Pricing (EFP), and Load and Demand-Side Management (LDSM). The ECP evaluates changes in the mix of generating capacity that are necessary to meet future demands for electricity and comply with environmental regulations. The EFD represents dispatching (i.e., operating) decisions and determines how to allocate available capacity to meet the current demand for electricity. Using investment expenditures from the ECP and operating costs from the EFD, the EFP calculates the price of electricity, accounting for state-level regulations involving the allocation of costs. The LDSM translates annual demands for electricity into distributions that describe hourly, seasonal, and time-of-day variations. These distributions are used by the EFD and the ECP to determine the quantity and types of generating capacity that are required to insure reliable and economical supplies of electricity. The EMM also represents nonutility suppliers and interregional and international transmission and trade. These activities are included in the EFD and the ECP.

1994-04-07T23:59:59.000Z

111

Internal Evolution for Agent Cognition - Agent-Based Modelling of an Artificial Stock Market.  

E-Print Network (OSTI)

??Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, in particular social sciences. Artificial Stock Market (ASM), introduced by a group… (more)

Hassanzadeh, Morteza

2011-01-01T23:59:59.000Z

112

Stochastic models of electricity prices and risk premia in the PJM market.  

E-Print Network (OSTI)

??With a main focus on risk premia in a US electricity market, we propose three stochastic models for electricity spot prices. Based on the proposed… (more)

Xiao, Yuewen

2012-01-01T23:59:59.000Z

113

Efficiency of appliance models on the market before and after DOE standards  

E-Print Network (OSTI)

LBNL-55509 Efficiency of Appliance Models on the MarketEnergy efficiency standards for appliances mandatethat appliance manufacturers not manufacture or import

Meyers, Stephen

2004-01-01T23:59:59.000Z

114

Documentation of the petroleum market model (PMM). Appendix: Model developer`s report  

SciTech Connect

The Office of Integrated Analysis and Forecasting (OIAF) is required to provide complete model documentation to meet the EIA Model Acceptance Standards. The EIA Model Documentation: Petroleum Market Model of the National Energy Modeling System provides a complete description of the Petroleum Market Model`s (PMM) methodology, and relation to other modules in the National Energy Modeling System (NEMS). This Model Developer`s Report (MDR) serves as an appendix to the methodology documentation and provides an assessment of the sensitivity of PMM results to changes in input data. The MDR analysis for PMM is performed by varying several sets of input variables one-at-a-time and examining the effect on a set of selected output variables. The analysis is based on stand-alone, rather than integrated, National Energy Modeling System (NEMS) runs. This means that other NEMS modules are not responding to PMM outputs. The PMM models petroleum refining and marketing. The purpose of the PMM is to project petroleum product prices, refining activities, and movements of petroleum into the United States and among domestic regions. In addition, the PMM estimates capacity expansion and fuel consumption in, the refining industry. The PMM is also used to analyze a wide variety of petroleum-related issues and policies, in order to foster better understanding of the petroleum refining and marketing industry and the effects of certain policies and regulations. The PMM simulates the operation of petroleum refineries in the United States, including the supply and transportation of crude oil to refineries, the regional processing of these raw materials into petroleum products, and the distribution of petroleum products to meet regional demands. The essential outputs of this model are product prices, a petroleum supply/demand balance, demands for refinery fuel use, and capacity expansion.

Not Available

1994-12-28T23:59:59.000Z

115

The Natural Gas Market Model: Equations and data sources  

SciTech Connect

In 1981, EIA began a major study of the impact of natural gas deregulation. Through 1981, the major product of that study was the August 1981 EIA analysis paper entitled ''Analysis of Economic Effects of Accelerated Deregulation of Natural Gas Prices.'' That paper will be referred to as the ''Deregulation Study'' below. The Natural Gas Market Model (NGMM) was the primary model used to produce the forecasts discussed in the Deregulation Study. A modified version of NGMM has been used in the initial runs of the EIA Extended Short-term Forecasting System (ESFS), which is still under development. The purpose of this paper is to provide a comprehensive description of what NGMM is, and of the inputs used with NGMM for the Deregulation Study. The Deregulation Study, and the many documentation reports it cites, contain much information about the substantive studies which led up to the forecasts; however, it does not provide enough detail on how these studies were brought together to permit either a replication or an in-depth evaluation of the forecasts. EIA standards require that models be documented in enough detail to permit replication. This report attempts to fill that gap in documentation, on the basis of a line-by-line audit of the model code, interviews with the model developers, and a replication of the model in the user-oriented system Troll. The report mentions the mechanics of how the solutions are obtained, but not in complete detail. 2 figs., 6 tabs.

Werbos, P.J.

1981-11-01T23:59:59.000Z

116

EIA - The National Energy Modeling System: An Overview 2003-Coal Market  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The National Energy Modeling System: An Overview 2003 Coal Market Module Figure 19. Coal Market Module Demand Regions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 20. Coal Market Module Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 21. Coal Market Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Coal Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end–use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal

117

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

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

1997-02-01T23:59:59.000Z

118

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect

This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

1996-04-30T23:59:59.000Z

119

An Econophysics Model for the Stock-Markets' Analysis and Diagnosis  

E-Print Network (OSTI)

In this paper we present an econophysic model for the description of shares transactions in a capital market. For introducing the fundamentals of this model we used an analogy between the electrical field produced by a system of charges and the overall of economic and financial information of the shares transactions from the stock-markets. An energetic approach of the rate variation for the shares traded on the financial markets was proposed and studied.

Spanulescu, Ion; Stoica, Victor; Gheorghiu, Anca; Velter, Victor

2011-01-01T23:59:59.000Z

120

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network (OSTI)

Moreover, Green and Newbery [12] appropriately look .... Green [11] and Newbery [17] ..... defines the same obligation of energy dispatching in the spot market.

Note: This page contains sample records for the topic "ma3t model market" 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

A Generic Framework for a Combined Agent-based Market and Production Model  

Science Conference Proceedings (OSTI)

Agent-based market models are in general based on a-priori defined supply and demand schemes. Likewise, production models assume that prices are known a-priori. In reality prices depend on variable demands and supplies, while demand and supply depend ... Keywords: Agent-based computational economics, Invisible hand, Markets, Price mechanism, Von Neumann technology matrices

Bas Straatman; Danielle J. Marceau; Roger White

2013-04-01T23:59:59.000Z

122

Modeling EU electricity market competition using the residual supply index  

Science Conference Proceedings (OSTI)

An econometric approach to related hourly Residual Supply Index to price-cost margins in the major EU electricity generation markets suggests that market structure, as measured by the RSI, is a significant explanatory factor for markups, even when scarcity and other explanatory variables are included. (author)

Swinand, Gregory; Scully, Derek; Ffoulkes, Stuart; Kessler, Brian

2010-11-15T23:59:59.000Z

123

Dual Estimates of the Optimal Plan Model and Regional Market Costs: A Relationship  

Science Conference Proceedings (OSTI)

The relationship between linear programming dual estimates for the optimal production plan model and real regional market costs is studied. A two-stage linear programming model is necessary for exact approximation of cost allocation in analyzing with ...

Yu. M. Tsodikov; Ya. Yu. Tsodikova

2001-04-01T23:59:59.000Z

124

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

SciTech Connect

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

NONE

1997-12-18T23:59:59.000Z

125

Modeling movements in oil, gold, forex and market indices using search volume index and Twitter sentiments  

Science Conference Proceedings (OSTI)

Study of the forecasting models using large scale microblog discussions and the search behavior data can provide a good insight for better understanding the market movements. In this work we collected a dataset of 2 million tweets and search volume index ... Keywords: Twitter, data mining, forex, gold, microblogging, oil, sentiment analysis, social network analysis, stock market

Tushar Rao, Saket Srivastava

2013-05-01T23:59:59.000Z

126

The National Energy Modeling System: An Overview 1998 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

ELECTRICITY MARKET MODULE ELECTRICITY MARKET MODULE blueball.gif (205 bytes) Electricity Capacity Planning Submodule blueball.gif (205 bytes) Electricity Fuel Dispatch Submodule blueball.gif (205 bytes) Electricity Finance and Pricing Submodule blueball.gif (205 bytes) Load and Demand-Side Management Submodule blueball.gif (205 bytes) Emissions The electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition,

127

Slide 1  

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

Managed by UT-Battelle Managed by UT-Battelle for the Department of Energy Presented to EIA Consumer Choice Models and Markets Technical Workshop Southfield, MI, on Jan 25 2013 The MA 3 T model: Market Adoption of Advanced Automotive Technologies Zhenhong Lin, David Greene Oak Ridge National Laboratory 2 Managed by UT-Battelle for the Department of Energy The MA3T model: Market Acceptance of Advanced Automotive Technologies Dr. David Greene, Dr.Zhenhong Lin Outline * Purpose of Model * Framework, Theory and Implementation * Calibration and Validation * Features and Capabilities * Selected Results * Areas for Improvement * Conclusions 3 Managed by UT-Battelle for the Department of Energy MA3T was developed to allow DOE to analyze the transition of U.S. LDV powertrain mix and relevant policies.

128

Arbitrage Free Models In Markets With Transaction Costs  

E-Print Network (OSTI)

In \\cite{Gua} the notion of stickiness for stochastic processes was introduced. It was also shown that stickiness implies absense of arbitrage in a market with proportional transaction costs. In this paper, we investigate the notion of stickiness further. In particular, we show that stickiness is invariant under composition with continuous functions. We also prove a time change result on stickiness. As an application we provide sufficient conditions for continuous semimartingales to be sticky (A counter example show that not all semi-martingales are sticky). As a result, our paper provides an extended class of stochastic processes that are consistent with the no arbitrage property in a market with friction.

Bayraktar, Erhan

2008-01-01T23:59:59.000Z

129

Survey review of models for use in market penetration analysis: utility sector focus  

SciTech Connect

The ultimate benefits of federal expenditures in research and development for new technologies are dependent upon the degree of acceptance of these technologies. Market penetration considerations are central to the problem of quantifying the potential benefits. These benefits are inputs to the selection process of projects competing for finite R and D funds. Market penetration is the gradual acceptance of a new commodity or technology. The Office of Coal utilization is concerned with the specialized area of market penetration of new electric power generation technologies for both replacement and new capacity. The common measure of market penetration is the fraction of the market serviced by the challenging technology for each time point considered. The methodologies for estimating market penetration are divided into three generic classes: integrated energy/economy modeling systems, utility capacity expansion models, and technology substitution models. In general, the integrated energy/economy modeling systems have three advantages: they provide internally consistent macro, energy-economy scenarios, they account for the effect of prices on demand by fuel form, and they explicitly capture the effects of population growth and the level and structure of economic activity on energy demand. A variety of deficiencies appear in most energy-economy systems models. All of the methodologies may be applied at some level to questions of market penetration of new technologies in the utility sector; choice of methods for a particular analysis must be conditioned by the scope of the analysis, data availability, and the relative cost of alternative analysis.

Groncki, P.J.; Kydes, A.S.; Lamontagne, J.; Marcuse, W.; Vinjamuri, G.

1980-11-01T23:59:59.000Z

130

Modeling the electricity market as a complex adaptive system with an agent-based approach.  

SciTech Connect

As power markets are relatively new and still continue to evolve, there is a growing need for advanced modeling approaches that simulate the behavior of electricity markets over time and how market participants may act and react to the changing economic, financial and regulatory environments in which they operate. A new and rather promising approach is to model the electricity market as a complex adaptive system using an agent-based modeling and simulation (ABMS) approach. The purpose of an ABMS model is not necessarily to predict the outcome of a system but to reveal and understand the complex and aggregate system behaviors that emerge from the interactions of the heterogeneous individual entities. Emergent behavior is a key feature of ABMS and is not easily inferred from the simple sum of the behavior of its components. By relying on both established engineering modeling techniques as well as advanced quantitative economic market principles, the ABMS approach is uniquely suited to addressing the strategic issues of interest to different market participants as well as those of market monitors and regulators.

Koritarov, V.; Decision and Information Sciences

2004-07-01T23:59:59.000Z

131

Multi-Factor Model of Correlated Commodity - Forward Curves for Crude Oil and Shipping Markets  

E-Print Network (OSTI)

An arbitrage free multi-factor model is developed of the correlated forward curves of the crude oil, gasoline, heating oil and tanker shipping markets. Futures contracts trading on public exchanges are used as the primary ...

Ellefsen, Per Einar

2009-01-01T23:59:59.000Z

132

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Update on Petroleum, Natural Gas, Heating Oil and Gasoline.of the Market for Natural Gas Futures. Energy Journal 16 (Modeling Forum. 2003. Natural Gas, Fuel Diversity and North

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

133

"Market Systems" Models and Energy Policy Analysis  

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

"Market Systems" Models and Energy Policy Analysis "Market Systems" Models and Energy Policy Analysis Speaker(s): William Morrow Date: October 17, 2012 - 12:00pm Location: 90-1099 Seminar Host/Point of Contact: Katie Coughlin Many aspects of energy policy in the US intend to influence both "demand-side" (consumer) and "supply-side" (producer) behavior. Analysis for such policies, however, rarely takes into account important complexities related to consumer behavior, firm behavior, competition, and uncertainty that can ultimately limit policy effectiveness. This talk will review the gap between policy analysis and what we know about market behavior. Two elements will serve as an element of focus for detailed discussion: First, game-theoretic "Market Systems" models of product design

134

Modeling hydro power plants in deregulated electricity markets : integration and application of EMCAS and VALORAGUA.  

Science Conference Proceedings (OSTI)

In this paper, we present details of integrating an agent-based model, Electricity Market Complex Adaptive System (EMCAS) with a hydro-thermal coordination model, VALORAGUA. EMCAS provides a framework for simulating deregulated markets with flexible regulatory structure along with bidding strategies for supply offers and demand bids. VALORAGUA provides longer-term operation plans by optimizing hydro and thermal power plant operation for the entire year. In addition, EMCAS uses the price forecasts and weekly hydro schedules from VALORAGUA to provide intra-week hydro plant optimization for hourly supply offers. The integrated model is then applied to the Iberian electricity market which includes about 111 thermal plants and 38 hydro power plants. We then analyze the impact of hydro plant supply offers on the market prices and ways to minimize the Gencospsila exposure to price risk.

Thimmapuram, P.; Veselka, T.; Koritarov, V.; Vilela, S.; Pereira, R.; Silva, R. (Decision and Information Sciences); (Rede Electrica Nacional, S.A.); (Energias de Portugal)

2008-01-01T23:59:59.000Z

135

Market disruption, cascading effects, and economic recovery:a life-cycle hypothesis model.  

Science Conference Proceedings (OSTI)

This paper builds upon previous work [Sprigg and Ehlen, 2004] by introducing a bond market into a model of production and employment. The previous paper described an economy in which households choose whether to enter the labor and product markets based on wages and prices. Firms experiment with prices and employment levels to maximize their profits. We developed agent-based simulations using Aspen, a powerful economic modeling tool developed at Sandia, to demonstrate that multiple-firm economies converge toward the competitive equilibria typified by lower prices and higher output and employment, but also suffer from market noise stemming from consumer churn. In this paper we introduce a bond market as a mechanism for household savings. We simulate an economy of continuous overlapping generations in which each household grows older in the course of the simulation and continually revises its target level of savings according to a life-cycle hypothesis. Households can seek employment, earn income, purchase goods, and contribute to savings until they reach the mandatory retirement age; upon retirement households must draw from savings in order to purchase goods. This paper demonstrates the simultaneous convergence of product, labor, and savings markets to their calculated equilibria, and simulates how a disruption to a productive sector will create cascading effects in all markets. Subsequent work will use similar models to simulate how disruptions, such as terrorist attacks, would interplay with consumer confidence to affect financial markets and the broader economy.

Sprigg, James A.

2004-11-01T23:59:59.000Z

136

Integrated Market Modeling of Hydrogen Transition Scenarios with HyTrans  

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

Integrated Market Modeling of Integrated Market Modeling of Hydrogen Transition Scenarios with HyTrans Paul N. Leiby, David L. Greene and David Bowman Oak Ridge National Laboratory A presentation to the Hydrogen Delivery Analysis Meeting FreedomCAR and Fuels Partnership Delivery, Storage and Hydrogen Pathways Tech Teams May 8-9, 2007 Columbia, MD 2 OAK RIDGE NATIONAL LABORATORY U. S. DEPARTMENT OF ENERGY Drawing from several other DOE models, HyTrans integrates supply and demand in a dynamic non-linear market model to 2050. * H2A - Hydrogen Production - Hydrogen Delivery * PSAT & ASCM - Fuel economy - 2010/2015 cost & performance goals * ORNL Vehicle Choice Model - Fuel availability - Make & model diversity - Price, fuel economy, etc. * Vehicle Manufacturing Cost Estimates (assisted by OEMs)

137

Statistical properties of agent-based models in markets with continuous double auction mechanism  

E-Print Network (OSTI)

Real world markets display power-law features in variables such as price fluctuations in stocks. To further understand market behavior, we have conducted a series of market experiments on our web-based prediction market platform which allows us to reconstruct transaction networks among traders. From these networks, we are able to record the degree of a trader, the size of a community of traders, the transaction time interval among traders and other variables that are of interest. The distributions of all these variables show power-law behavior. On the other hand, agent-based models have been proposed to study the properties of real financial markets. We here study the statistical properties of these agent-based models and compare them with the results from our web-based market experiments. In this work, three agent-based models are studied, namely, zero-intelligence (ZI), zero-intelligence-plus (ZIP) and Gjerstad-Dickhaut (GD). Computer simulations of variables based on these three agent-based models were car...

Tseng, Jie-Jun; Lin, Chih-Ting; Wang, Sun-Chong; Li, Sai-Ping; 10.1016/j.physa.2009.12.034

2010-01-01T23:59:59.000Z

138

Oil Market Simulation model: model documentation report (Task 13). Final report  

Science Conference Proceedings (OSTI)

This report documents the Oil Market Simulation (OMS) model as used by the Energy Information Administration (EIA) to provide forecasts of world oil prices. In addition, the OMS model is used to examine the market responses to changes in oil demand and supply. The current version of the model provides additional OMS simulation capabilities to its predecessor. It performs not only the price and production simulations as before, but also simulations that converge to a user-specified regional demand, supply, or import level. Free world countries are grouped into seven major oil demand regions and eight major oil supply regions. The OMS model consists of three parts: oil demand, non-OPEC oil supply, and OPEC pricing behavior. Regional oil demand in a given year is determined as a function of the average world oil price for the year, the regional level of economic activity for the year, and the oil demand in the previous year. Non-OPEC regional oil supply is specified as a function of world oil price and the regional oil supply in the previous period. OPEC pricing behavior is related to the OPEC capacity utilization rate; OPEC sets the oil price based on the percent utilization of its availabile production capacity and the world oil price in the previous time period. Besides the behavior rules of consumers, non-OPEC producers, and OPEC producers, the OMS model includes some regional demand and supply values that are determined exogenously. These user-determined demand and supply values include: (1) OPEC demand, (2) US Strategic Petroleum reserve fill rates, and (3) the net exports from Centrally Planned Economies. 19 refs., 7 figs., 10 tabs.

Not Available

1985-05-10T23:59:59.000Z

139

Market Penetration Model (MPM) user's guide  

SciTech Connect

This document describes a computer program which calculates the most probable Solar Total Energy System (STES) market penetration and forecasts of energy displacement by geographic location (50 states) and by industrial application (140 industries) for seven time periods (from 1985 to 2015 in five year increments). The program is written in Fortran for the FTN compiler on The Aerospace Corporation's CDC 7600 computer. It consists of approximately 750 cards, including comments. This document contains a description of the program, its inputs and its outputs. Examples of program input and output as well as a sample deck structure are provided. A source listing appears in the appendix.

Timmer, B.R.

1979-01-04T23:59:59.000Z

140

Effects of diversification among assets in an agent-based market model  

E-Print Network (OSTI)

We extend to the multi-asset case the framework of a discrete time model of a single asset financial market developed in Ghoulmie et al (2005). In particular, we focus on adaptive agents with threshold behavior allocating their resources among two assets. We explore numerically the effect of this diversification as an additional source of complexity in the financial market and we discuss its destabilizing role. We also point out the relevance of these studies for financial decision making.

Ghoulmié, F; Mellen, C P; Di Matteo, T

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Theory of agent-based market models with controlled levels of greed and anxiety  

E-Print Network (OSTI)

We use generating functional analysis to study minority-game type market models with generalized strategy valuation updates that control the psychology of agents' actions. The agents' choice between trend following and contrarian trading, and their vigor in each, depends on the overall state of the market. Even in `fake history' models, the theory now involves an effective overall bid process (coupled to the effective agent process) which can exhibit profound remanence effects and new phase transitions. For some models the bid process can be solved directly, others require Maxwell-construction type approximations.

Papadopoulos, P

2009-01-01T23:59:59.000Z

142

The National Energy Modeling System: An Overview 2000 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition, nonutility supply and electricity trade are represented in the fuel dispatching and capacity planning submodules. Nonutility generation from cogenerators and other facilities whose primary business is not electricity generation is represented in the demand and fuel supply modules. All other nonutility generation is represented in EMM. The generation of electricity is accounted for in 15 supply regions (Figure 10), and fuel consumption is allocated to the 9 Census divisions.

143

Analyzing the influence of overconfident investors on financial markets through agent-based model  

Science Conference Proceedings (OSTI)

In this research, we employ Agent-Based Model to analyze how asset prices are affected by investors' Behavior. This analysis places focus on the influence of overconfident investors on financial market. As a result of intensive analysis, we find that ... Keywords: agent based-model, asset pricing, behavioral economics, overconfidence

Hiroshi Takahashi; Takao Terano

2007-12-01T23:59:59.000Z

144

Market power and welfare effects in DC power flow electricity models with thermal line losses  

Science Conference Proceedings (OSTI)

A nodal electric power network with Cournot-Nash interaction among power generators is formulated as a mixed complementarity problem. The model incorporates a direct current (DC) power flow approximation with thermal line losses to model real-time flows. ... Keywords: Electricity markets, Imperfect competition, Thermal line losses, Welfare measurement

Rastislav Ivanic; Paul V. Preckel; Zuwei Yu

2005-10-01T23:59:59.000Z

145

The value of information in a multi-agent market model  

E-Print Network (OSTI)

We present an experimental and simulated model of a multi-agent stock market driven by a double auction order matching mechanism. Studying the effect of cumulative information on the performance of traders, we find a non monotonic relationship of net returns of traders as a function of information levels, both in the experiments and in the simulations. Particularly, averagely informed traders perform worse than the non informed and only traders with high levels of information (insiders) are able to beat the market. The simulations and the experiments reproduce many stylized facts of stock markets, such as fast decay of autocorrelation of returns, volatility clustering and fat-tailed distribution of returns. These results have an important message for everyday life. They can give a possible explanation why, on average, professional fund managers perform worse than the market index.

Tóth, B; Kirchler, M; Scalas, E; Huber, Juergen; Kirchler, Michael; Scalas, Enrico; Toth, Bence

2006-01-01T23:59:59.000Z

146

The world oil market and OPEC behavior: The leak-producer price leader model  

SciTech Connect

This is an economic study of the world's oil market in which OPEC plays the central role in determining the oil supply and price. Understanding OPEC's behavior is at the core of understanding the world's oil market. However, oil is a resource belonging to the family of natural resources known as exhaustible. We do not produce oil; we only extract and distribute a fixed amount of the resource over generations. Optimal extraction is a matter of concern to both suppliers and consumers. First, it is shown that using the traditional theory of producers behavior in the conventional commodity markets to explain extractors behavior in exhaustible resource markets is completely wrong. Second, current models of OPEC behavior are reviewed. Third, an alternative model is introduced. Previous authors have not directed their models to give explanations to the peculiar observations in oil market. This model divides the world's oil suppliers into: the free riders (non-OPEC oil producers), the OPEC hawks (a group within OPEC) and the leak-producer price leader (Saudi Arabia). Three factors, namely relatively big oil reserves, no other sources of income, and the avoidance of the so-called backstop technology make Saudi Arabia more interested in lower oil prices than are other oil extractors.

Aboalela, A.A.

1988-01-01T23:59:59.000Z

147

Geothermal Energy Market Study on the Atlantic Coastal Plain. Geothermal Energy Market penetration: development of a model for the residential sector  

SciTech Connect

A model has been developed that examines the feasibility of using geothermal technology in heating residential structures. Specific account is taken of the small contribution of new housing to the total stock in any given year and of the durability of houses and their furnaces. Both aspects constrain the penetration of geothermal energy into the residential market. After a discussion of other market penetration paradigms, a simple model of market penetration is developed that is based on the premise that homeowners will not abandon an existing furnace until its economic life is over. Next, behavioral parameters are discussed and the model is extended from 20 to 40 years. Finally, methods are discussed for collecting the needed data to determine market penetration, and ideas are proposed of ways to induce homeowners to give up economically viable furnaces to allow the firm providing the energy to reduce costs.

Goodman, A.C.

1979-09-01T23:59:59.000Z

148

Modeling the Long-Term Market Penetration of Wind in the United States  

DOE Green Energy (OSTI)

This paper presents an overview of the Wind Deployment Systems Model (WinDS). WinDS is a multiregional, multitime-period, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. WinDS is designed to address the principal market issues related to the penetration of wind energy technologies into the electric sector. These principal market issues include access to and cost of transmission, and the intermittency of wind power. WinDS addresses these issues through a highly discretized regional structure, explicit accounting for the variability in wind output over time, and consideration of ancillary services requirements and costs.

Short, W.; Blair, N.; Heimiller, D.; Singh, V.

2003-07-01T23:59:59.000Z

149

Model documentation: Electricity market module, electricity finance and pricing submodule  

SciTech Connect

The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

1994-04-07T23:59:59.000Z

150

Modeling the Market Potential of Hydrogen from Wind and Competing Sources: Preprint  

DOE Green Energy (OSTI)

Developed from the Wind Deployment Systems (WinDS) model, the Hydrogen Deployment Systems (HyDS) model is a computer model of U.S. market expansion of hydrogen production from wind and other sources over the next 50 years. The WinDS model was developed in 2003 to model the expansion of generation and transmission capacity in the U.S. electric sector spanning the next 50 years. It minimizes system-wide costs of meeting loads, reserve requirements, and emission constraints by building and operating new generators and transmission in 26 two-year periods from 2000 to 2050. While it includes all major types of conventional generators, the WinDS model focuses on addressing the market issues of greatest significance to wind-specifically issues of electricity transmission and intermittency.

Short, W.; Blair, N.; Heimiller, D.

2005-05-01T23:59:59.000Z

151

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

All U.S. energy markets including exports and imports U.S.Energy Markets All U.S. energy markets including imports andenergy markets All U.S. energy markets including imports and

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

152

Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market  

E-Print Network (OSTI)

We review Bayesian inference for dynamic latent variable models using the data augmentation principle. We detail the difficulties of simulating dynamic latent variables in a Gibbs sampler. We propose an alternative specification of the dynamic disequilibrium model which leads to a simple simulation procedure and renders Bayesian inference fully operational. Identification issues are discussed. We conduct a specification search using the posterior deviance criterion of Spiegelhalter, Best, Carlin, and van der Linde (2002) for a disequilibrium model of the Polish credit market.

Luc Bauwens; Michel Lubrano

2006-01-01T23:59:59.000Z

153

Model documentation, Coal Market Module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

NONE

1998-01-01T23:59:59.000Z

154

Reviewing progress in PJM's capacity market structure via the new reliability pricing model  

Science Conference Proceedings (OSTI)

The Reliability Pricing Model introduces significant changes to the capacity market structure of PJM. The main feature of the RPM design is a downward-sloping demand curve, which replaces the highly volatile vertical demand curve. The authors review the latest RPM structure, results of the auctions, and the future course of the implementation process. (author)

Sener, Adil Caner; Kimball, Stefan

2007-12-15T23:59:59.000Z

155

Long-Run Equilibrium Modeling of Emissions Allowance Allocation Systems in Electric Power Markets  

Science Conference Proceedings (OSTI)

Carbon dioxide allowance trading systems for electricity generators are in place in the European Union and in several U.S. states. An important question in the design of such systems is how allowances are to be initially allocated: by auction, by giving ... Keywords: Equilibrium programming, economics, electricity and emissions markets, model properties and applications

Jinye Zhao; Benjamin F. Hobbs; Jong-Shi Pang

2010-05-01T23:59:59.000Z

156

Insider Models with Finite Utility in Markets with Jumps  

SciTech Connect

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

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

2011-10-15T23:59:59.000Z

157

Analysis of price diffusion in financial markets using PUCK model  

E-Print Network (OSTI)

Based on the new type of random walk process called the Potentials of Unbalanced Complex Kinetics (PUCK) model, we theoretically show that the price diffusion in large scales is amplified 2/(2 + b) times, where b is the coefficient of quadratic term of the potential. In short time scales the price diffusion depends on the size M of the super moving average. Both numerical simulations and real data analysis of Yen-Dollar rates are consistent with theoretical analysis.

Mizuno, T; Takayasu, M; Mizuno, Takayuki; Takayasu, Hideki; Takayasu, Misako

2006-01-01T23:59:59.000Z

158

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Energy futures markets are ‘hubs’ that price and marketenergy price fluctuations. In theory, futures market pricesenergy prices, including most prominently, energy futures markets.

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

159

A Plug-in Hybrid Consumer Choice Model with Detailed Market Segmentation  

DOE Green Energy (OSTI)

This paper describes a consumer choice model for projecting U.S. demand for plug-in hybrid electric vehicles (PHEV) in competition among 13 light-duty vehicle technologies over the period 2005-2050. New car buyers are disaggregated by region, residential area, attitude toward technology risk, vehicle usage intensity, home parking and work recharging. The nested multinomial logit (NMNL) model of vehicle choice incorporates daily vehicle usage distributions, refueling and recharging availability, technology learning by doing, and diversity of choice among makes and models. Illustrative results are presented for a Base Case, calibrated to the Annual Energy Outlook (AEO) 2009 Reference Updated Case, and an optimistic technology scenario reflecting achievement of U.S. Department of Energy s (DOE s) FreedomCAR goals. PHEV market success is highly dependent on the degree of technological progress assumed. PHEV sales reach one million in 2037 in the Base Case but in 2020 in the FreedomCARGoals Case. In the FreedomCARGoals Case, PHEV cumulative sales reach 1.5 million by 2015. Together with efficiency improvements in other technologies, petroleum use in 2050 is reduced by about 45% from the 2005 level. After technological progress, PHEV s market success appears to be most sensitive to recharging availability, consumers attitudes toward novel echnologies, and vehicle usage intensity. Successful market penetration of PHEVs helps bring down battery costs for electric vehicles (EVs), resulting in a significant EV market share after 2040.

Lin, Zhenhong [ORNL; Greene, David L [ORNL

2010-01-01T23:59:59.000Z

160

Biofuel-Food Market Interactions:A Review of Modeling Approaches and Findings  

Science Conference Proceedings (OSTI)

The interaction between biofuels and food markets remains a policy issue for a number of reasons. There is a continuing need to understand the role of biofuels in the recent spikes in global food prices. Also, there is an ongoing discussion of changes to biofuel policy as a means to cope with severe weather-induced crop losses. Lastly, there are potential interactions between food markets and advanced biofuels, although most of the latter are expected to be produced from non-food feedstocks. This study reviews the existing literature on the food market impacts of biofuels. Findings suggest that initial conclusions attributing most of the spike in global food prices between 2005 and 2008 to biofuels have been revised. Instead, a multitude of factors, in addition to biofuels, converged during the period. Quantitative estimates of the impacts of biofuels on food markets vary significantly due to differences in modeling approaches, geographical scope, and assumptions about a number of crucial factors. In addition, many studies do not adequately account for the effects of macroeconomic changes, adverse weather conditions and direct market interventions during the recent food price spikes when evaluating the role of biofuels.

Oladosu, Gbadebo A [ORNL; Msangi, Siwa [International Food and Policy Research Institute (IFPRI)

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

An interacting-agent model of financial markets from the viewpoint of Nonextensive statistical mechanics  

E-Print Network (OSTI)

In this paper we present an interacting-agent model of financial markets. We describe a financial market through an Ising model to formulate the tendency of agents getting influenced by the other agents' investment attitude [8]. We formulate the agents' decision making on investment as the {\\it minimum energy principle for Tsallis entropy [11]}, and demonstrate that the equilibrium probability distribution function of the investment attitude of interacting-agents is the {\\it q-exponential distribution}. We also show that the power-law distribution of volatility of price fluctuations, which is often demonstrated in the empirical studies [17], can be explained naturally by our model that have their origin in the collective crowd behavior of many interacting-agents.

Kaizoji, T

2006-01-01T23:59:59.000Z

162

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

National Laboratory Canadian Energy Research Institute U.S.Administration Energy Markets All U.S. energy marketsAll Canadian and U.S. energy markets All U.S. energy markets

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

163

Exact Solution of a Model for Crowding and Information Transmission in Financial Markets  

E-Print Network (OSTI)

An exact solution is presented to a model that mimics the crowding effect in financial markets which arises when groups of agents share information. We show that the size distribution of groups of agents has a power law tail with an exponential cut-off. As the size of these groups determines the supply and demand balance, this implies heavy tails in the distribution of price variation. The moments of the distribution are calculated, as well as the kurtosis. We find that the kurtosis is large for all model parameter values and that the model is not self-organizing.

R. D'hulst; G. J. Rodgers

1999-08-31T23:59:59.000Z

164

Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input  

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

Updated U.S. Geothermal Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input C. Augustine Technical Report NREL/TP-6A20-47459 October 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input C. Augustine Prepared under Task No. GT09.3002 Technical Report NREL/TP-6A20-47459 October 2011 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

165

Electricity Markets  

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

Electricity Markets Electricity Markets Researchers in the electricity markets area conduct technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, electricity reliability and distributed generation resources. Research is conducted in the following areas: Energy efficiency research focused on portfolio planning and market assessment, design and implementation of a portfolio of energy efficiency programs that achieve various policy objectives, utility sector energy efficiency business models, options for administering energy efficiency

166

Estimating market penetration of new district heating and cooling systems using a combination of economic cost and diffusion models  

SciTech Connect

The economic-cost model and the diffusion model are among the many market-penetration forecasting approaches that are available. These approaches have been used separately in many applications. In this paper, the authors briefly review these two approaches and then describe a methodology for forecasting market penetration using both approaches sequentially. This methodology is illustrated with the example of market-penetration forecasting of new district heating and cooling (DHC) systems in the Argonne DHC Market Penetration Model, which was developed and used over the period 1979--1983. This paper discusses how this combination approach, which incorporates the strengths of the economic-cost and diffusion models, has been superior to any one approach for market forecasts of DHC systems. Also discussed are the required modifications for revising and updating the model in order to generate new market-penetration forecasts for DHC systems. These modifications are required as a result of changes in DHC engineering, economic, and market data from 1983 to 1990. 13 refs., 5 figs., 2 tabs.

Teotia, A.P.S.; Karvelas, D.E.

1991-05-10T23:59:59.000Z

167

Efficiency of appliance models on the market before and after DOE standards  

Science Conference Proceedings (OSTI)

Energy efficiency standards for appliances mandate that appliance manufacturers not manufacture or import models that have a test energy efficiency below a specified level after the standard effective date. Thus, appliance standards set a floor for energy efficiency. But do they also induce more significant changes in the efficiencies that manufacturers offer after the standard becomes effective? To address this question, we undertook an examination of before-standard and after-standard efficiency of models on the market for three products: (1) Refrigerators (1990, 1993, and 2001 standards); (2) Room air conditioners (1990 and 2000 standards); and (3) Gas furnaces (1992 standard).

Meyers, Stephen

2004-06-15T23:59:59.000Z

168

MODELLING THE ROLE OF TRADING COMPANIES IN THE DOWNSTREAM EUROPEAN GAS MARKET: A SUCCESSIVE OLIGOPOLY APPROACH  

E-Print Network (OSTI)

A model of successive oligopoly is used to analyse the European natural gas market, focusing on the role of trading companies and their interaction with gas producers. Producers of natural gas are assumed to form an oligopoly, while downstream within-country traders of gas can be represented either as local oligopolists or perfect competitors. The model therefore has a two-level structure, in which producers engage in competition a la Cournot, and each producer is a Stackelberg leader with respect to traders, who may be Cournot oligopolists or perfect competitors. Several conclusions emerge. First, successive oligopoly (so-called "double marginalisation") yields higher prices and lower consumer welfare than if oligopoly exists only on one level. Second, due to the high concentration of traders, oligopoly in the trading market distorts prices more than oligopoly in production. Third, trader profits depends on whether producers can price discriminate among consuming sectors. If such price discrimination is possible, producers collect a greater share of the margins on end-use prices. Finally, when the number of traders increases, end-use prices approach competitive levels. Thus, it is important to prevent monopolistic structures in the downstream gas market. In the case where oligopolistic trading

Maroeska G. Boots; Fieke A. M. Rijkers; Benjamin F. Hobbs

2003-01-01T23:59:59.000Z

169

Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets  

SciTech Connect

The purpose of this article is to compare the accuracy of forecasts for natural gas prices as reported by the Energy Information Administration's Short-Term Energy Outlook (STEO) and the futures market for the period from 1998 to 2003. The analysis tabulates the existing data and develops a statistical comparison of the error between STEO and U.S. wellhead natural gas prices and between Henry Hub and U.S. wellhead spot prices. The results indicate that, on average, Henry Hub is a better predictor of natural gas prices with an average error of 0.23 and a standard deviation of 1.22 than STEO with an average error of -0.52 and a standard deviation of 1.36. This analysis suggests that as the futures market continues to report longer forward prices (currently out to five years), it may be of interest to economic modelers to compare the accuracy of their models to the futures market. The authors would especially like to thank Doug Hale of the Energy Information Administration for supporting and reviewing this work.

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-06-30T23:59:59.000Z

170

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

This report documents the approaches used in developing the Annual Energy Outlook 1995 (AEO95). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of the coal market module`s three submodules. These are the Coal Production Submodule (CPS), the Coal Export Submodule (CES), the Coal Expert Submodule (CES), and the Coal Distribution Submodule (CDS).

1995-03-01T23:59:59.000Z

171

Estimating the Market Penetration of Residential Cool Storage Technology Using Economic Cost Modeling  

E-Print Network (OSTI)

This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric power needs. This paper provides projections of unit sales expected in 5-year intervals for the years 1995, 2000, 2005, and 2010, Such projections help to determine the maximum amount o f energy that could be displaced by this technology in the future. This study also found that price incentives offered to households must be varied dramatically by region for residential cool storage systems to be economically competitive relative to conventional systems. Under the most likely scenario, this analysis estimated that residential cool storage units will eventually capture about one-half of the central air conditioning (A/C) market.

Weijo, R. O.; and Brown, D. R.

1988-01-01T23:59:59.000Z

172

Estimating the market penetration of residential cool storage technology using economic cost modeling  

DOE Green Energy (OSTI)

This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric power needs. This paper provides projections of unit sales expected in 5-year intervals for the years 1995, 2000, 2005, and 2010. Such projections help to determine the maximum amount of energy that could be displaced by this technology in the future. This study also found that price incentives offered to households must be varied dramatically by region for residential cool storage systems to be economically competitive relative to conventional systems. Under the most likely scenario, this analysis estimated that residential cool storage units will eventually capture about one-half of the central air conditioning (A/C) market. 14 refs., 2 figs., 8 tabs.

Weijo, R.O.; Brown, D.R.

1988-06-01T23:59:59.000Z

173

Analysis of market penetration scenarios of clean coal technologies in China using the LLNL China Energy Model  

SciTech Connect

This paper presents the results of an analysis of the market penetration of Clean Coal Technologies in the electric utility market in China. The analysis is based on a model of the Chinese energy system developed at Lawrence Livermore National Laboratory. Under this model, the market penetration of a technology depends on the relative prices of all technologies in a market. The model assumes that for each technology there is a distribution of effective prices to the consumers in the market place. The prices for each technology computed in the model are assumed to be the means of these distributions: sometime the effective price is greater than this and sometimes it is less. Thus even a relatively expensive technology may cost less than its competitors in a fraction of the transactions. Using several scenarios about the possible dispersion of prices, we estimate the market share of CCTs over the next 50 years. We find that some CCTs penetrate under all scenarios, but the more expensive ones only show significant penetration when larger values of price dispersion are assumed. Generally the penetration of the CCTs is 15% or less of the market by 2020. However, advanced pulverized coal does exceed 15% in some cases.

Lamont, A

1998-08-17T23:59:59.000Z

174

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

and imports U.S. electricity and gas markets includingrepresentation of electricity and natural gas markets,initially to conduct electricity restructuring analysis in

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

175

Agent-based modeling of zapping behavior of viewers, television commercial allocation, and advertisement markets  

E-Print Network (OSTI)

We propose a simple probabilistic model of zapping behavior of television viewers. Our model might be regarded as a `theoretical platform' to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called gross rating point (GRP for short) are reconstructed using the microscopic modeling of each viewer's decision making. Assuming that each viewer decides the television station to watch by means of three factors, namely, physical constraints on television controllers, exogenous information such as advertisement of program by television station, and endogenous information given by `word-of-mouth communication' through the past market history, we shall construct an aggregation probability of Gibbs-Boltzmann-type with the energy function. We discuss the possibility for the ingredients of the model system to exhibi...

Kyan, Hiroyuki

2013-01-01T23:59:59.000Z

176

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network (OSTI)

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation technologies. This paper briefly discusses the observed patterns of the diffusion of new' technologies and the determinants (both sociological and economic) which have been proposed to explain the variation in the diffusion rates. Existing market penetration models are reviewed and their capability to forecast the use of conservation technologies is assessed using a set of criteria developed for this purpose. The reasoning behind the choice of criteria is discussed. The criteria includes the range of hypothesized influences to market penetration that are incorporated into the models and the applicability of the available parameter estimates. The attributes of our methodology and forecasting model choice (a behavioral lag equation developed by Mathtech, Inc.), are displayed using a list of the judgment criteria. This method was used to forecast the use of electricity conservation technologies in industries located in the Pacific Northwest for the Bonneville Power Administration.

Lang, K.

1982-01-01T23:59:59.000Z

177

ORCED: A model to simulate the operations and costs of bulk-power markets  

SciTech Connect

Dramatic changes in the structure and operation of US bulk-power markets require new analytical tools. The authors developed the Oak Ridge Competitive Electricity Dispatch (ORCED) model to analyze a variety of public-policy issues related to the many changes underway in the US electricity industry. Such issues include: policy and technology options to reduce carbon emissions from electricity production; the effects of electricity trading between high- and low-cost regions on consumers and producers in both regions; the ability of the owners of certain generating units to exercise market power as functions of the transmission link between two regions and the characteristics of the generating units and loads in each region; and the market penetration of new energy-production and energy-use technologies and the effects of their adoption on fuel use, electricity use and costs, and carbon emissions. ORCED treats two electrical systems connected by a single transmission link ORCED uses two load-duration curves to represent the time-varying electricity consumption in each region. The two curves represent peak and offpeak seasons. User specification of demand elasticities permits ORCED to estimate the effects of changes in electricity price, both overall and hour by hour, on overall electricity use and load shapes. ORCED represents the electricity supply in each region with 26 generating units. The two regions are connected by a single transmission link. This link is characterized by its capacity (MW), cost ({cents}/kWh), and losses (%). This report explains the inputs to, outputs from, and operation of ORCED. It also presents four examples showing applications of the model to various public-policy issues related to restructuring of the US electricity industry.

Hadley, S.; Hirst, E.

1998-06-01T23:59:59.000Z

178

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market  

Science Conference Proceedings (OSTI)

In this paper a new dynamic model for forecasting electricity prices from 1 to 24h in advance is proposed. The model is a dynamic filter weight Adaline using a sliding mode weight adaptation technique. The filter weights for this neuron constitute of ... Keywords: Differential evolution, Dynamic filter weights neuron, Energy market, Local linear wavelet neural network, Sliding mode control

S. Chakravarty; P. K. Dash

2011-09-01T23:59:59.000Z

179

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

energy price fluctuations. In theory, futures market prices summarize privately available informationEnergy; Brookhaven National Laboratory Canadian Energy Research Institute U.S. Energy Information Administration Energy Marketsinformation about future energy prices, including most prominently, energy futures markets.

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

180

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Market and STEO Error Forecast Error from 1998 to 2003 (2 Futures Market and STEO Error Forecast Error from 1998to 2003 (Months 13- Forecast from 1998 to 2003 (Months 1-12)

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Appendix A.1 Natural Gas Price Data for Futures Market andSTEO Error A.1 Natural Gas Price Data for Futures Market andforecasts for natural gas prices as reported by the Energy

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

182

A forecasting model of tourist arrivals from major markets to Thailand  

E-Print Network (OSTI)

International tourism is a rapidly growing phenomenon hics. worldwide. However, the East Asia and Pacific Region is expected to be the focus of the worldwide tourism industry in the new millennium because tourist arrivals and receipts registered a growth about twice the rates of industrialized countries in the last decade. The tourism industry has become a powerful engine for economic development and a major foreign exchange generator. With such growth and increased competition, it is vitally important to forecast tourism demand in the region and understand the factors affecting demand. Considering the national importance of tourism, Thailand was chosen as the destination country with nine major markets as the countries of origin. A model was developed for each country to forecast tourism demand from that market. Multiple regression analysis was applied over time series data. The empirical results suggest that independent variables, such as income level in the country of origin, prices of tourism goods in the destination country, currency exchange rate between the origin and destination country, and rooms supply in destination, do affect tourism demand. Qualitative factors, represented by dummy variables, namely special promotional program and political unrest, show slight impact on demand. The study reveals that there are differences in the relative impacts of variables among the tourist generating countries. Thus, country-specific forecasting models and strategies must be formulated to reflect the uniqueness of each country of origin. Furthermore, forecasting techniques should include more qualitative factors to better asses their impacts on tourism demand. For future research, it is suggested that the models developed be updated regularly to reflect changes in the selected independent variables. Surveys and studies dealing with consumer motivation should be carried out to understand more about the tourists themselves and how they select particular destinations and types of tourism. Finally, in order to take advantage of modern technologies, the Internet is suggested as a tool to promote tourism.

Hao, Ching

1998-01-01T23:59:59.000Z

183

Modeling the competitive market efficiency of Egyptian companies: A probabilistic neural network analysis  

Science Conference Proceedings (OSTI)

Understanding efficiency levels is crucial for understanding the competitive structure of a market and/or segments of a market. This study uses two artificial neural networks (NN) and a traditional statistical classification method to classify the relative ... Keywords: Data envelopment analysis, Discriminant analysis, Market efficiency, Probabilistic neural networks

Mohamed M. Mostafa

2009-07-01T23:59:59.000Z

184

Constructing a market domain model for start-up software technology companies: A case study  

Science Conference Proceedings (OSTI)

The market for a complex technology product is sometimes called reference business because references are emphasized by corporate customers. A first customer reference is especially important for a start-up technology company attempting to enter the ... Keywords: First reference customer, High technology markets, M13 - New Firms, M31 - Marketing, Start-up software company, Startups

Jari Ruokolainen; Markus M. Mäkelä

2007-09-01T23:59:59.000Z

185

Modeling the Market Potential of Hydrogen from Wind and Competing Sources: Preprint  

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

8 8 May 2005 Modeling the Market Potential of Hydrogen from Wind and Competing Sources Preprint W. Short, N. Blair, and D. Heimiller To be presented at WINDPOWER 2005 Denver, Colorado May 15-18, 2005 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. 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

186

Horizontal-axis washing machines offer large savings: New models entering North American market  

Science Conference Proceedings (OSTI)

Long popular in Europe, new horizontal-axis clothes washers are entering the North American market, creating opportunities for government and utility conservation efforts. Unlike vertical-axis machines, which immerse the clothes in water, horizontal-axis designs use a tumbling action and require far less water, water-heating energy, and detergent. One development in this area is the recent reintroduction by the Frigidaire Company of a full-size, front-load, horizontal-axis washing machine. The new model is an improved version of an earlier design that was discontinued in mid-1991 during changes in manufacturing facilities. It is available under the Sears Kenmore, White-Westinghouse, and Gibson labels. While several European and commercial-grade front-load washers are sold in the US, they are all considerably more expensive than the Frigidaire machine, making it the most efficient clothes washer currently available in a mainstream North American consumer product line.

Shepard, M.

1992-12-31T23:59:59.000Z

187

A methodology for assessing the market benefits of alternative motor fuels: The Alternative Fuels Trade Model  

DOE Green Energy (OSTI)

This report describes a modeling methodology for examining the prospective economic benefits of displacing motor gasoline use by alternative fuels. The approach is based on the Alternative Fuels Trade Model (AFTM). AFTM development was undertaken by the US Department of Energy (DOE) as part of a longer term study of alternative fuels issues. The AFTM is intended to assist with evaluating how alternative fuels may be promoted effectively, and what the consequences of substantial alternative fuels use might be. Such an evaluation of policies and consequences of an alternative fuels program is being undertaken by DOE as required by Section 502(b) of the Energy Policy Act of 1992. Interest in alternative fuels is based on the prospective economic, environmental and energy security benefits from the substitution of these fuels for conventional transportation fuels. The transportation sector is heavily dependent on oil. Increased oil use implies increased petroleum imports, with much of the increase coming from OPEC countries. Conversely, displacement of gasoline has the potential to reduce US petroleum imports, thereby reducing reliance on OPEC oil and possibly weakening OPEC`s ability to extract monopoly profits. The magnitude of US petroleum import reduction, the attendant fuel price changes, and the resulting US benefits, depend upon the nature of oil-gas substitution and the supply and demand behavior of other world regions. The methodology applies an integrated model of fuel market interactions to characterize these effects.

Leiby, P.N.

1993-09-01T23:59:59.000Z

188

Duopoly electricity markets with accurate and inaccurate market goals  

Science Conference Proceedings (OSTI)

Electricity markets are complex systems due to their deregulation and restructuring. We develop an agent-based simulation model for a stylized electricity pool market and simulate the market as a repeated game. An online hill climbing with adjustment ...

Zhi Zhou; Wai Kin Victor Chan; Joe H. Chow; Serhiy Kotsan

2009-12-01T23:59:59.000Z

189

Abstract--A stochastic dynamic programming hydrothermal dispatch model to simulate a bid-based market is  

E-Print Network (OSTI)

on dynamic programming that optimizes and validates the bid prices strategies for each power plant in a hydro-thermal, and simulating them as if they were a single power plant. In a hydro-thermal system as the one simulated several plants. Emphasis is given to hydro reservoir modeling and to the assessment of their market power

Catholic University of Chile (Universidad CatĂłlica de Chile)

190

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

information about natural gas supply and demand. As amarket Calibrating natural gas supply and demand conditionsnation-wide natural gas market, equalizing supply with

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

191

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

about natural gas supply and demand. As a result, someCalibrating natural gas supply and demand conditions withelectricity and natural gas markets, demand-side management

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

192

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network (OSTI)

Concerning Cap and Trade Programs in Electricity: the CaseCap and Trade Regulation on Congested Electricity Marketcap and trade regu- lation on congested electricity market

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

193

FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY MARKETS  

E-Print Network (OSTI)

demand growth. Current electricity market designs are being reviewed to avoid supply difficulties concept, named "capacity tag" for each plant is being proposed and in the FERC/EU direc- tives in the US INTERRUPTED MARKETS OPERATING COUNTRIES WITH POWER ADJUSTMENTS INTHE REFORM PROCESS INTERESTED INTHE NEW

Rudnick, Hugh

194

Can the Mortensen-Pissarides Model Match the Housing Market Facts ?  

E-Print Network (OSTI)

are different in terms of their waiting costs for selling the house, where buyers are free to enter either are free to enter either submarket Nash bargaining matching function + random search + market tightness with frictions. Keywords: housing price dispersion, time-on-the-market, trading volume, search and matching

Paris-Sud XI, Université de

195

A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting  

Science Conference Proceedings (OSTI)

Stock market forecasting is important and interesting, because the successful prediction of stock prices may promise attractive benefits. The economy of Taiwan relies on international trade deeply, and the fluctuations of international stock markets ... Keywords: ANFIS, Genetic algorithm, Neural network, Weighted rule

Liang-Ying Wei

2013-02-01T23:59:59.000Z

196

Agile Market Engineering: Bridging the gap between business concepts and running markets.  

E-Print Network (OSTI)

??The agile market engineering process model (AMEP) is built on the insight, that market design and development is a wicked problem. Electronic markets are too… (more)

Block, Carsten Alexander

2010-01-01T23:59:59.000Z

197

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

SciTech Connect

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

1998-02-01T23:59:59.000Z

198

The National Energy Modeling System: An Overview 1998 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

COAL MARKET MODULE COAL MARKET MODULE blueball.gif (205 bytes) Coal Production Submodule blueball.gif (205 bytes) Coal Distribution Submodule blueball.gif (205 bytes) Coal Export Component The coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. The CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply

199

The photovoltaic market analysis program : background, model development, applications and extensions  

E-Print Network (OSTI)

The purpose of this report is to describe and motivate the market analysis program for photovoltaics that has developed over the last several years. The main objective of the program is to develop tools and procedures to ...

Lilien, Gary L.

1981-01-01T23:59:59.000Z

200

Modeling and Simulation of an Agent-Based Decentralized Two-Commodity Power Market  

Science Conference Proceedings (OSTI)

In this paper, a market-based approach is described to solve the resource allocation problem of two coupled commodities, namely electric energy and heating energy. Agents assigned to each household and each power plant carry out evaluations independently ...

2000-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock market modeling  

Science Conference Proceedings (OSTI)

The use of intelligent systems for stock market predictions has been widely established. This paper introduces a genetic programming technique (called Multi-Expression programming) for the prediction of two stock indices. The performance is then compared ...

Ajith Abraham; Crina Grosan; Sang Yong Han; Alexander Gelbukh

2005-11-01T23:59:59.000Z

202

Fuzzy-neural model with hybrid market indicators for stock forecasting  

Science Conference Proceedings (OSTI)

A number of research had been carried out to forecast stock price based on technical indicators, which rely purely on historical stock price data. Nevertheless, their performance is not always satisfactory. In this paper, the effect of using hybrid market ...

A. A. Adebiyi; C. K. Ayo; S. O. Otokiti

2011-07-01T23:59:59.000Z

203

Analysing and modelling international trade patterns of the Australian wine industry in the world wine market.  

E-Print Network (OSTI)

??Since the mid-1980s, trade liberalisation has encouraged the growth of Australia’s international trade. The Australian wine industry has been successful in the world wine market,… (more)

Boriraj, Jumpoth

2008-01-01T23:59:59.000Z

204

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium.  

E-Print Network (OSTI)

??This dissertation presents an equilibrium framework for analyzing the impact of cap-and-trade regulation on transmission-constrained electricity market. The cap-and-trade regulation of greenhouse gas emissions has… (more)

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

205

How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market  

E-Print Network (OSTI)

Protecting the Market from “Hockey Stick” Pricing: How thethat some ?rms opt to ‘hockey-stick’ their supply functions—giving their o?er curve a hockey-stick shape—even more than

Sioshansi, Ramteen; Oren, Shmuel

2007-01-01T23:59:59.000Z

206

How Good are Supply Function Equilibrium Models: An Empirical Analysis of the ERCOT Balancing Market  

E-Print Network (OSTI)

Protecting the Market from "Hockey Stick" Pricing: How thesome firms opt to 'hockey-stick' their supply functions—giving their offer curve a hockey-stick shape—even more than

Sioshansi, Ramteen; Oren, Shmuel S

2006-01-01T23:59:59.000Z

207

Modelling the Effects of Nuclear Fuel Reservoir Operation in a Competitive Electricity Market  

E-Print Network (OSTI)

In many countries, the electricity systems are quitting the vertically integrated monopoly organization for an operation framed by competitive markets. In such a competitive regime one can ask what the optimal management ...

Lykidi, Maria

208

The National Energy Modeling System: An Overview 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply regions (Figures 19 and 20). coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end-use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal export demands as a part of the world coal market. Coal supply is projected on a cost-minimizing basis, constrained by existing contracts. Twelve different coal types are differentiated with respect to thermal grade, sulfur content, and underground or surface mining. The domestic production and distribution of coal is forecast for 13 demand regions and 11 supply regions (Figures 19 and 20). Figure 19. Coal Market Module Demand Regions Figure 20. Coal Market Module Supply Regions

209

A multistage model for distribution expansion planning with distributed generation in a deregulated electricity market  

Science Conference Proceedings (OSTI)

Distribution systems management is becoming an increasingly complicated issue due to the introduction of new technologies, new energy trading strategies and a new deregulated environment. In the new deregulated energy market and considering the incentives ... Keywords: GAMS-MATLAB interface, distributed generation (DG), distribution company (DISCO), investment payback time, microturbine, social welfare

S. Porkar; A. Abbaspour-Tehrani-Fard; P. Poure; S. Saadate

2010-06-01T23:59:59.000Z

210

Can the Mortensen-Pissarides Model Match the Housing Market Facts ?  

E-Print Network (OSTI)

are different in terms of their waiting costs for selling the house, where buyers are free to enter either post. Nevertheless, s/he always decides to sell since the search is costly in terms of time and money buyers are free to enter either submarket Nash bargaining matching function + random search + market

Paris-Sud XI, Université de

211

Credit derivatives : market dimensions, correlation with equity and implied option volatility, regression modeling and statistical price risk  

E-Print Network (OSTI)

This research thesis explores the market dimensions of credit derivatives including the prevalent product structures, leading participants, market applications and the issues confronting this relatively new product. We ...

Kureshy, Imran, A., 1965-

2004-01-01T23:59:59.000Z

212

Foreseeing the Market for Hydrogen Fuel-Cell Vehicles: Stakeholders' Perspectives and Models of New Technology Diffusion  

E-Print Network (OSTI)

and Associates (2005). Hybrid Vehicle Market Share Expectedsales Year Number of new hybrid vehicles sold Number of newsold Market share of hybrid vehicles It can be observed that

Collantes, Gustavo O

2005-01-01T23:59:59.000Z

213

FORESEEING THE MARKET FOR HYDROGEN FUEL-CELL VEHICLES: STAKEHOLDERS’ PERSPECTIVES AND MODELS OF NEW TECHNOLOGY DIFFUSION  

E-Print Network (OSTI)

and Associates (2005). Hybrid Vehicle Market Share Expectedsales Year Number of new hybrid vehicles sold Number of newsold Market share of hybrid vehicles It can be observed that

Collantes, Gustavo

2005-01-01T23:59:59.000Z

214

Concentrating Solar Deployment System (CSDS) -- A New Model for Estimating U.S. Concentrating Solar Power (CSP) Market Potential: Preprint  

DOE Green Energy (OSTI)

This paper presents the Concentrating Solar Deployment System Model (CSDS). CSDS is a multiregional, multitime-period, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. CSDS is designed to address the principal market and policy issues related to the penetration of concentrating solar power (CSP) electric-sector technologies. This paper discusses the current structure, capabilities, and assumptions of the model. Additionally, results are presented for the impact of continued research and development (R&D) spending, an extension to the investment tax credit (ITC), and use of a production tax credit (PTC). CSDS is an extension of the Wind Deployment System (WinDS) model created at the National Renewable Energy Laboratory (NREL). While WinDS examines issues related to wind, CSDS is an extension to analyze similar issues for CSP applications. Specifically, a detailed representation of parabolic trough systems with thermal storage has been developed within the existing structure.

Blair, N.; Mehos, M.; Short, W.; Heimiller, D.

2006-04-01T23:59:59.000Z

215

Estimating market penetration of steam, hot water and chilled water in commercial sector using a new econometric model  

SciTech Connect

For the first time in the public domain, we have estimated the energy consumption and expenditures of district steam, hot water, and chilled water. Specifically, the combined energy consumption and expenditures of steam, hot water, and chilled water in 1989 were approximately 800 trillion Btu and 7 billion dollars, respectively. The purpose of this paper is to introduce a new model developed at Argonne National Laboratory (ANL) for estimating market penetration of steam, hot water, and chilled water systems in commercial buildings over the next 20 years. This research sponsored by the US Department of Energy (DOE) used the 1989 Commercial Building Energy Consumption Surveys (CBECS) to provide information on energy consumption and expenditures and related factors in about 6000 buildings. A general linear model to estimated parameters for each of the three equations for steam, hot water, and chilled water demand in the buildings. A logarithmic transformation was made for the dependent variable and most of the explanatory variables. The model provides estimates of building steam, hot water, and chilled water consumption and expenditures between now and the year 2010. This model should be of interest to policymakers, researchers, and market participants involved with planning and implementing community-based energy-conserving and environmentally beneficial energy systems.

Teotia, A.P.S.; Karvelas, D.E.; Daniels, E.J.; Anderson, J.L.

1993-08-01T23:59:59.000Z

216

An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England  

E-Print Network (OSTI)

the prices of fuels at energy markets and the transportation/distribution costs in making their economic the fuel price at each energy fuel market am. Since this paper focuses on the electric power supply chain markets that captures both the economic network transactions in energy supply markets and the physical

Nagurney, Anna

217

ADS-Directory Services for Mobile Ad-Hoc Networks Based on an Information Market Model  

E-Print Network (OSTI)

Ubiquitous computing based on small mobile devices using wireless communication links is becoming very attractive. The computational power and storage capacities provided allow the execution of sophisticated applications. Due to the fact that sharing of information is a central problem for distributed applications, the development of self organizing middleware services providing high level interfaces for information managing is essential. ADS is a directory service for mobile ad-hoc networks dealing with local and nearby information as well as providing access to distant information. The approach discussed throughout this paper is based upon the concept of information markets.

Hutter, Christian; Rothkugel, Steffen

2007-01-01T23:59:59.000Z

218

Using EPECs to model bilevel games in restructured electricity markets with locational prices  

E-Print Network (OSTI)

different generation costs. This is a weakening of a more typical assumption that generation costs are symmetric, e.g. Green and Newbery (1992), Klemperer and Meyer (1989). Here some generators may be out of the market, unlike Proposition 5. Using symmetric... formulation. Applying PATH to the CP formulation of an EPEC is suggested by the success that some stan- dard NLP methods have had in solving MPECs written as NLPs (like (12)). The sequential quadratic programming method has proven to be especially effective...

Hu, Xinmin; Ralph, Daniel

2006-03-14T23:59:59.000Z

219

Modelling Volatilities and Conditional Correlations in Futures Markets with a Multivariate t Distribution  

E-Print Network (OSTI)

number of assets. However, in most applications in ?nance the Gaussian as- sumption that underlies the two step procedure is likely to be violated. To capture the fat-tailed nature of the distribution of asset returns, it is more appropriate if the DCC... observations, but is nev- ertheless capable of rendering the devolatized returns approximately Gaussian. One of the main reasons for the non-Gaussian behavior daily returns is pres- ence of jumps in the return process as documented for a number of markets...

Pesaran, Bahram; Pesaran, M Hashem

220

Efficiency of appliance models on the market before and after DOE standards  

E-Print Network (OSTI)

database of models listed in selected product directories published by the Association of Home Appliance

Meyers, Stephen

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Implied volatility in oil markets  

Science Conference Proceedings (OSTI)

Modelling the implied volatility surface as a function of an option's strike price and maturity is a subject of extensive research in financial markets. The implied volatility in commodity markets is much less studied, due to a limited liquidity and ...

Svetlana Borovkova; Ferry J. Permana

2009-04-01T23:59:59.000Z

222

Modeling the Long-Term Market Penetration of Wind in the United States  

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

Long-Term Long-Term Market Penetration of Wind in the United States July 2003 * NREL/CP-620-34469 W. Short, N. Blair, D. Heimiller, and V. Singh Presented at the American Wind Energy Association (AWEA) WindPower 2003 Conference Austin, Texas May 21, 2003 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * Battelle * Bechtel Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published

223

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Policy Office Electricity Modeling System POEMS U.S. Department of Energy NANGAS/IPM NANGAS North American

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

224

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

against the risk of energy price fluctuations. In theory,The poor track record of energy price forecasting models hasof information about future energy prices, including most

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

225

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

E-Print Network (OSTI)

that a potential synergy from a gasoline tax with proceeds is used to fund research into longer-range lower- cost) indicate PHEV greenhouse gas emissions to be about half of that of current gasoline and diesel motor fuels model the system. We examine sensitivity of the model to gasoline prices, to accuracy in estimation

Eppstein, Margaret J.

226

Market Transformation  

DOE Green Energy (OSTI)

Summarizes the goals and activities of the DOE Solar Energy Technologies Program efforts within its market transformation subprogram.

Not Available

2008-09-01T23:59:59.000Z

227

Why Markets Make Mistakes  

E-Print Network (OSTI)

Many models of markets are based on assumptions of rationality, transparency, efficiency, and homogeneity in various combinations. They assume, at least implicitly, that decision makers understand the structure of the ...

Weil, Henry Birdseye

2009-08-12T23:59:59.000Z

228

Essays in capital markets  

E-Print Network (OSTI)

This thesis consists of three essays in capital markets. The first essay presents a dynamic asset pricing model with heterogeneously informed agents. Unlike previous research, the general case where differential information ...

Makarov, Igor, 1976-

2006-01-01T23:59:59.000Z

229

Engineering of markets and artifacts  

Science Conference Proceedings (OSTI)

In this paper, we continue the dialog started by Roth [19] between economics and engineering in the context of design of markets. We take the position that markets and engineered artifacts are thee the products of a social process of design formulation. ... Keywords: engineering design, market design, methodologies, modeling, testing

Eswaran Subrahmanian; Sarosh N. Talukdar

2003-09-01T23:59:59.000Z

230

Market Structure Across Retail Formats  

Science Conference Proceedings (OSTI)

We study how market structure within a product category varies across retail formats. Building on the literature on internal market structure, we estimate a joint store and brand choice model where the loading matrix of brand attributes are allowed to ... Keywords: brand maps, heterogeniety, market structure, retail formats

Karsten Hansen; Vishal Singh

2009-07-01T23:59:59.000Z

231

Comparative analysis of market-based health delivery models in rural India  

E-Print Network (OSTI)

The rapid economic growth in India and accompanying demand for improved healthcare, particularly in rural populations, make a compelling case for global pharmaceutical companies to develop new business models to serve these ...

Yap, Nicole

2013-01-01T23:59:59.000Z

232

Efficiency of appliance models on the market before and after DOE standards  

E-Print Network (OSTI)

Models in AHAM Directory Compared to DOE Standards June July2002 2001 standard A d just ed V o lume ( cu.f t . ) LBNL-Compared to1990 DOE Standard March1991 Oct 1987 EER

Meyers, Stephen

2004-01-01T23:59:59.000Z

233

Modeling the Impact of State and Federal Incentives on Concentrating Solar Power Market Penetration  

DOE Green Energy (OSTI)

This paper presents methodology and results from the Regional Energy Deployment System Model (ReEDS) examining the ability of concentrating solar power (CSP), other renewables, and electricity storage to contribute to the U.S. electric sector.

Blair, N.; Short, W.; Mehos, M.

2008-03-01T23:59:59.000Z

234

System for the Analysis of Global Energy Markets - Vol. II, Model Documentation  

Reports and Publications (EIA)

The second volume provides a data implementation guide that lists all naming conventions and model constraints. In addition, Volume 1 has two appendixes that provide a schematic of the SAGE structure and a listing of the source code, respectively.

Barry Kapilow-Cohen

2003-08-01T23:59:59.000Z

235

Using Solar Business Models to Expand the Distributed Wind Market (Presentation)  

DOE Green Energy (OSTI)

This presentation to attendees at Wind Powering America's All-States Summit in Chicago describes business models that were responsible for rapid growth in the solar industry and that may be applicable to the distributed wind industry as well.

Savage, S.

2013-05-01T23:59:59.000Z

236

Capacity Markets and Market Stability  

Science Conference Proceedings (OSTI)

The good news is that market stability can be achieved through a combination of longer-term contracts, auctions for far enough in the future to permit new entry, a capacity management system, and a demand curve. The bad news is that if and when stable capacity markets are designed, the markets may seem to be relatively close to where we started - with integrated resource planning. Market ideologues will find this anathema. (author)

Stauffer, Hoff

2006-04-15T23:59:59.000Z

237

Comparative review of the Time-stepped Energy System Optimization Model (TESOM) and the IEA Market Allocation Model (MARKAL)  

SciTech Connect

The two principal energy system models used in the National Center for Analysis of Energy Systems at Brookhaven National Laboratory are described and their important differences are contrasted.

Kydes, A.S.

1980-04-01T23:59:59.000Z

238

Model Averaging in Risk Management with an Application to Futures Markets  

E-Print Network (OSTI)

symmetric matrix, a0 is an N(N +1)/2× 1 vector, and A0, B0 are N(N +1)/2×N(N +1)/2 matrices of unknown coefficients. It is evident that even such a low-order model already contains a large number of parameters even for moderate values of N which renders... averaging process and the differences in their forecast error variances can have important implications for the shape of the resulting average model in general and the degree of its fat-tailness, in particular. Therefore, it seems likely that averaging...

Pesaran, M Hashem; Schleicher, C; Zaffaroni, P

239

Applying mathematical finance tools to the competitive Nordic electricity market.  

E-Print Network (OSTI)

??This thesis models competitive electricity markets using the methods of mathematical finance. Fundamental problems of finance are market price modelling, derivative pricing, and optimal portfolio… (more)

Vehviläinen, Iivo

2004-01-01T23:59:59.000Z

240

An Analysis About Market Efficiency in International Petroleum Markets: Evidence from Three Oil Commodities  

Science Conference Proceedings (OSTI)

A modified model for testing market efficiency is presented, with introducing convenience yield and using lagged spot prices to adjust risk premium. Subsequently, an examination about market efficiency in international petroleum markets is given using ... Keywords: Cointegration analysis, Convenience yield, Futures price spot price, International petroleum markets, Market efficiency, Risk premium

Wang Shuping; Li Jianping; Zhang Shulin

2007-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

and the methods which have been proposed to handle them in spot and forward price models. We devote special sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since and nuclear production as these plants are hardly ever setting the price. In other words, since electricity

Carmona, Rene

242

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

Science Conference Proceedings (OSTI)

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

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

2006-09-01T23:59:59.000Z

243

System for the Analysis of Global Energy Markets - Vol. I, Model Documentation  

Reports and Publications (EIA)

Documents the objectives and the conceptual and methodological approach used in the development of projections for the International Energy Outlook. The first volume of this report describes the SAGE methodology and provides an in-depth explanation of the equations of the model.

Barry Kapilow-Cohen

2003-08-01T23:59:59.000Z

244

Modelling the Stock Market using Twitter M. Sebastian A. WolframTH  

E-Print Network (OSTI)

to predict price trends immediately after the release of the article. He used press release articles rather et al. (Fung et al., 2002) who used pattern recognition methodologies to model stock price trends a major role in affecting the price of a company's stock. In today's information age, news can spread

Koehn, Philipp

245

Cap-and-Trade Modeling and Analysis: Congested Electricity Market Equilibrium  

E-Print Network (OSTI)

biomass nuclear hydro wind renewable geothermal CO2 rate Figure 2.3: Generation mix by firms in the WECC model As aforementioned, the price-prices is summarized as follows. When there is no carbon regulation, the MW Output gas biomass

Limpaitoon, Tanachai

2012-01-01T23:59:59.000Z

246

MARKET BASED APPROACHES  

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

BASED BASED APPROACHES K.G. DULEEP MANAGING DIRECTOR EEA BACKGROUND * Introduction of fuel-cell vehicles and jump- starting the market will require significant government actions in the near term * Widespread understanding that command- and-control regulations can work for only very low sales volume. * Increased public sales and acceptance will need development of market based policies. ANALYSIS OBJECTIVES * EEA currently evaluating a number of market based approaches to enhancing fuel economy of conventional and hybrid vehicles. * Primary objective of effort is to evaluate a range of market based approaches that can be implemented when FCV models are market ready, and identify ones that could make a difference. * Effort is in the context of modifying existing approaches to special needs of FCVs

247

Electricity Market Module  

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

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

248

An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England  

E-Print Network (OSTI)

with fuel supply markets that captures both the economic network transactions in energy supply chains markets to quantify the interactions in electric power/energy supply chains and their effects on flows% of domestic primary energy [17, 18]. Currently, the electric power industry in the US is undergoing

Nagurney, Anna

249

Power Marketing  

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

Remarketing Effort Hoover Coordinating Committee Meeting FY2011 - June 7 Mead Transformer Presentation Navajo Navajo Surplus Marketing Parker-Davis Parker-Davis Project...

250

Power Marketing  

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

Certificate Solicitations Benefit Review Energy Services Rates and Repayment WindHydro Integration Feasibility Study Send correspondence to: Power Marketing Manager Western...

251

Market Transformation  

Fuel Cell Technologies Publication and Product Library (EERE)

This Fuel Cell Technologies Program fact sheet outlines current status and challenges in the market transformation of hydrogen and fuel cell technologies.

252

Electricity Market Module  

Reports and Publications (EIA)

Documents the Electricity Market Module as it was used for the Annual Energy Outlook 2013. The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The EMM represents the generation, transmission, and pricing of electricity. It consists of four submodules: the Electricity Capacity Planning (ECP) Submodule, the Electricity Fuel Dispatch (EFD) Submodule, the Electricity Finance and Pricing (EFP) Submodule, and the Electricity Load and Demand (ELD) Submodule.

Jeff Jones

2013-07-24T23:59:59.000Z

253

Modeling of GE Appliances: Cost Benefit Study of Smart Appliances in Wholesale Energy, Frequency Regulation, and Spinning Reserve Markets  

Science Conference Proceedings (OSTI)

This report is the second in a series of three reports describing the potential of GE’s DR-enabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation. In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored.

Fuller, Jason C.; Parker, Graham B.

2012-12-31T23:59:59.000Z

254

Internet market strategies: Antecedents and implications  

Science Conference Proceedings (OSTI)

The Web is a new market channel that has become a serious alternative to traditional channels. At present, there is little strategy analysis available to guide a company's decision about its involvement in the internet market. In this paper, we differentiate ... Keywords: Creative pricing policies, IMS model, Internet competition, Internet market, Mixed strategy, Pure strategy, Resource-based theory, Traditional markets

Jaeki Song; Fatemeh Mariam Zahedi

2006-03-01T23:59:59.000Z

255

Market theories evolve, and so do markets  

E-Print Network (OSTI)

Study of Competitive Market Behavior," Journal of PoliticalContinuous Double Auction Markets. International Journal ofeds. ), The Dynamics of Market Exchange, North-Holland, 115-

Friedman, Daniel

2007-01-01T23:59:59.000Z

256

Orphan drugs : future viability of current forecasting models, in light of impending changes to influential market factors  

E-Print Network (OSTI)

Interviews were conducted to establish a baseline for how orphan drug forecasting is currently undertaken by financial market and industry analysts with the intention of understanding the variables typically accounted for ...

Gottlieb, Joshua

2011-01-01T23:59:59.000Z

257

The Distributional and Environmental Effects of Time-Varying Prices in Competitive Electricity Markets  

E-Print Network (OSTI)

New Jersey and Maryland (PJM) electricity market. Consistentelectricity market known as PJM by constructing a simulationWe apply the model to the PJM electricity market, which

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

258

Sentiment proxies: computing market volatility  

Science Conference Proceedings (OSTI)

Macroeconomic announcements can have an influential effect on the price, and related volatility, of an object traded in financial markets. Modeling the impact of a relevant announcement on a specific commodity is of interest in building financial models ...

Stephen Kelly; Khurshid Ahmad

2012-08-01T23:59:59.000Z

259

Essays on multichannel marketing  

E-Print Network (OSTI)

Multichannel marketing is the practice of simultaneously offering information, goods, services, and support to customers through two or more synchronized channels. In this dissertation, I develop an integrated framework of multichannel marketing and develop models to assist managers in their marketing resource allocation decisions. In the first essay of the dissertation, I investigate the factors that drive customers multichannel shopping behavior and identify its consequences for retailers. In the second essay, I build on this work and develop a model that enables firms to optimize their allocation of marketing resources across different customer-channel segments. In the first essay, I develop a framework comprising the factors that drive consumers’ channel choice, the consequences of channel choice, and their implications for managing channel equity. The results show that customer-channel choice is driven in a nonlinear fashion by a customer demographic variable such as age and is also influenced by consumer shopping traits such as number of categories bought and the duration of relationship with a retailer. I show that by controlling for the moderating effects of channel-category associations, the influence of customers’ demographics and shopping traits on their channel choices can vary significantly across product categories. Importantly, the results show that multichannel shoppers buy more often, buy more items, and spend considerably more than single channel shoppers. The channel equity of multichannel customers is nearly twice that of the closest single channel customers (online or offline). In the second essay, I propose a model for optimal allocation of marketing efforts across multiple customer-channel segments. I first develop a set of models for consumer response to marketing efforts for each channel-customer segment. This set comprises four models, the first for purchase frequency, the second for purchase quantity, the third for product return behavior, and the fourth for contribution margin of purchase. The results show that customers’ responses to firm marketing efforts vary significantly across the customer-channel segments. They also suggest that marketing efforts influence purchase frequency, purchase quantity and monetary value in different ways. The resource allocation results show that profits can be substantially improved by reallocating marketing efforts across the different customer-channel segments.

Kushwaha, Tarun Lalbahadur

2007-08-01T23:59:59.000Z

260

Market Offering Strategies for Hydroelectric Generators  

Science Conference Proceedings (OSTI)

This paper considers the problem of offering electricity produced by a series of hydroelectric reservoirs to a pool-type central market. The market model is a simplified version of the New Zealand wholesale electricity market, with prices modelled by ... Keywords: Dynamic programming: finite state, markov, Natural resources: energy, water resources, Probability: markov processes

G. Pritchard; G. Zakeri

2003-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Market power analysis in the EEX electricity market : an agent-based simulation approach.  

Science Conference Proceedings (OSTI)

In this paper, an agent-based modeling and simulation (ABMS) approach is used to model the German wholesale electricity market. The spot market prices in the European Energy Exchange (EEX) are studied as the wholesale market prices. Each participant in the market is modeled as an individual rationality-bounded agent whose objective is to maximize its own profit. By simulating the market clearing process, the interaction among agents is captured. The market clearing price formed by agentspsila production cost bidding is regarded as the reference marginal cost. The gap between the marginal cost and the real market price is measured as an indicator of possible market power exertion. Various bidding strategies such as physical withholding and economic withholding can be simulated to represent strategic bidding behaviors of the market participants. The preliminary simulation results show that some generation companies (GenCos) are in the position of exerting market power by strategic bidding.

Wang, J.; Botterud, A.; Conzelmann, G.; Koritarov, V.; Decision and Information Sciences

2008-01-01T23:59:59.000Z

262

Limit order markets, liquidity, and price impact  

E-Print Network (OSTI)

In this thesis, I explore various aspects of market liquidity and analyze its effect on asset prices. First, in a model of a limit order market I explain how to define liquidity and derive a price impact function. Second, ...

Rosu, Ioanid, 1970-

2004-01-01T23:59:59.000Z

263

Insights from a Simple Hotelling Model of the World Oil Market C.-Y. Cynthia Lina1  

E-Print Network (OSTI)

& Resource Economics, University of California at Davis, One Shields Avenue, Davis, CA 95616 USA; cclin are generated for various specifications of the elasticity of demand for both isoelastic demand and linear demand under each of two possible market structures: perfect competition and monopoly. Prior to the 1973

Lin, C.-Y. Cynthia

264

Coal Market Module  

Reports and Publications (EIA)

Documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System's (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 2013 (AEO2013). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM's two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS).

Michael Mellish

2013-07-17T23:59:59.000Z

265

Mobile Permission Marketing: Framing the Market Inquiry  

Science Conference Proceedings (OSTI)

The emergence of a mobile data infrastructure interconnected with the Internet and television marks the advent of a new marketing channel based on mobile messaging and complementary to traditional marketing channels and the Internet. Mobile marketing ... Keywords: Case Studies, Disruptive Technologies, Emerging Technologies, Firm Competencies, Mobile Internet, New Market Entrants, Permission-Based Marketing, Public Policy

Petros Kavassalis; Ntina Spyropoulou; Dimitris Drossos; Evangelos Mitrokostas; Gregory Gikas; Antonis Hatzistamatiou

2003-10-01T23:59:59.000Z

266

Transportation Market Distortions  

E-Print Network (OSTI)

Transport Prices and Markets, Victoria Transport PolicySurvey: Survey Suggests Market-Based Vision of Smart Growth,G. 1996. Roads in a Market Economy, Avebury (Aldershot).

Litman, Todd

2006-01-01T23:59:59.000Z

267

Capacity Markets for Electricity  

E-Print Network (OSTI)

Designing Markets for Electricity. Wiley IEEE Press. [25]in the England and Wales Electricity Market”, Power WorkingFelder (1996), “Should Electricity Markets Have a Capacity

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

268

Capacity Markets for Electricity  

E-Print Network (OSTI)

the prevailing PJM energy market price. The demand in thethe prevailing national energy market price. Last, suppliersraising the national energy market price cap P up to f, in

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

269

Information Markets and Aggregation  

E-Print Network (OSTI)

Information Markets and Aggregation by Narahari Mohan PhatakSpring 2012 Information Markets and Aggregation CopyrightMohan Phatak Abstract Information Markets and Aggregation by

Phatak, Narahari Mohan

2012-01-01T23:59:59.000Z

270

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

271

Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 153 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2011, DOE/EIA-M060(2011) (Washington, DC, 2011). Key assumptions Coal production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty-one separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations

272

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

273

Coal Market Module This  

Gasoline and Diesel Fuel Update (EIA)

51 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2012, DOE/EIA-M060(2012) (Washington, DC, 2012). Key assumptions Coal production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty-one separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations

274

Physical Market Conditions, Paper Market Activity,  

Gasoline and Diesel Fuel Update (EIA)

12 12 Physical Market Conditions, Paper Market Activity, and the WTI-Brent Spread Bahattin BĂĽyĂĽkĹźahin Thomas K. Lee James T. Moser Michel A. Robe* Abstract We document that, starting in the Fall of 2008, the benchmark West Texas Intermediate (WTI) crude oil has periodically traded at unheard of discounts to the corresponding Brent benchmark. We further document that this discount is not reflected in spreads between Brent and other benchmarks that are directly comparable to WTI. Drawing on extant models linking inventory conditions to the futures term structure, we test empirically several conjectures about how time and quality spreads (prompt vs. first-deferred WTI; prompt Brent vs. WTI)

275

Rooftop Photovoltaics Market Penetration Scenarios  

DOE Green Energy (OSTI)

The goal of this study was to model the market penetration of rooftop photovoltaics (PV) in the United States under a variety of scenarios, on a state-by-state basis, from 2007 to 2015.

Paidipati, J.; Frantzis, L.; Sawyer, H.; Kurrasch, A.

2008-02-01T23:59:59.000Z

276

Hedging and Vertical Integration in Electricity Markets  

Science Conference Proceedings (OSTI)

This paper analyzes the interactions between competitive (wholesale) spot, retail, and forward markets and vertical integration in electricity markets. We develop an equilibrium model with producers, retailers, and traders to study and quantify the impact ... Keywords: asset pricing, corporate finance, electric--electronic, financial institutions, industries, markets

René Aďd; Gilles Chemla; Arnaud Porchet; Nizar Touzi

2011-08-01T23:59:59.000Z

277

Predicting Uncertain Outcomes Using Information Markets  

E-Print Network (OSTI)

In this paper, information markets are introduced as a promising mechanism for predicting uncertain outcomes. A model of information markets is proposed. Some fundamental properties on when information markets will converge to the most desirable equilibrium, direct communication equilibrium, are derived.

Yiling Chen; Tracy Mullen; Chao-Hsien Chu

2005-01-01T23:59:59.000Z

278

Market Mill Dependence Pattern in the Stock Market: Multiscale Conditional Dynamics  

E-Print Network (OSTI)

Market Mill is a complex dependence pattern leading to nonlinear correlations and predictability in intraday dynamics of stock prices. The present paper puts together previous efforts to build a dynamical model reflecting the market mill asymmetries. We show that certain properties of the conditional dynamics at a single time scale result in the "elementary" market mill pattern. We discuss these properties as a mixture of trend-preserving and contrarian strategies used by market agents. Multiple time scale considerations make the resulting "composite" mill similar to the empirical market mill patterns. Multiscale model also reflects a multi-agent nature of the market.

Zaitsev, Sergey; Leonidov, Andrei; Trainin, Vladimir

2008-01-01T23:59:59.000Z

279

Micro-economic Analysis of the Physical Constrained Markets: Game Theory Application to Competitive Electricity Markets  

E-Print Network (OSTI)

Competition has been introduced in the electricity markets with the goal of reducing prices and improving efficiency. The basic idea which stays behind this choice is that, in competitive markets, a greater quantity of the good is exchanged at a lower and a lower price, leading to higher market efficiency. Electricity markets are pretty different from other commodities mainly due to the physical constraints related to the network structure that may impact the market performance. The network structure of the system on which the economic transactions need to be undertaken poses strict physical and operational constraints. Strategic interactions among producers that game the market with the objective of maximizing their producer surplus must be taken into account when modeling competitive electricity markets. The physical constraints, specific of the electricity markets, provide additional opportunity of gaming to the market players. Game theory provides a tool to model such a context. This paper discussed the a...

Bompard, E; Ragazzi, E; Bompard, Ettore; Ma, Yuchao; Ragazzi, Elena

2006-01-01T23:59:59.000Z

280

On the Dynamic Stability of Electricity Markets  

E-Print Network (OSTI)

Electricity market models have become an indispensable tool for analyzing and pre- dicting the impact of diverse dynamic drivers (e.g., weather, load, fuel prices  ...

Note: This page contains sample records for the topic "ma3t model market" 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

Market Analysis - Center for Transportation Analysis  

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

Market Analysis Market Analysis Annual market reports; market data resource center; supply chain, financial, and life cycle analyses; pilot studies for renewables and efficiency at scale. Primary Contact: David Greene Previous and Ongoing Analyses : Market Analysis for Energy Technologies and Fuels Greene, D.L., Leiby, P.N., Bowman, D. (2007). "Integrated Analysis of Market Transformation Scenarios with HyTrans" ORNL/TM-2007/094, Oak Ridge National Laboratory, Oak Ridge, Tennessee, June. (David Greene, Paul Leiby) Impact of advanced vehicle technologies (e.g. PHEV, EV and FCV) on petroleum use and carbon emissions depends on many technological, behavior, market and policy factors. A consumer choice model with 1458 market segments for the period 2005-2050 has been developed to investigate the

282

Solid-State Lighting: Orchestrating Market Success: Seattle Market...  

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

Orchestrating Market Success: Seattle Market Introduction Workshop Video to someone by E-mail Share Solid-State Lighting: Orchestrating Market Success: Seattle Market Introduction...

283

The investigation of the market disequilibrium in the stock market.  

E-Print Network (OSTI)

??This thesis investigated stock market disequilibrium focusing on two topics: the impact of multiple market makers on the market disequilibrium at the market microstructure level,… (more)

Park, Jin Suk

2013-01-01T23:59:59.000Z

284

Theoretical Investigation of Prediction Markets with Aggregate Uncertainty  

E-Print Network (OSTI)

forecast the value of the random variable. It then becomes a prediction market. We estab- lish a model to an equilibrium, where traders have consensus on the forecast. The best possible prediction a prediction market on security markets states that market price of the security incorporates all available information of all

Parkes, David C.

285

Markets for compost  

Science Conference Proceedings (OSTI)

Table of Contents: Introduction; Characteristics and Benefits of Compost and Competing/Complementary Products; Compost Uses and Markets; Factors Pertinent to Developing Compost Markets; Compost Specifications; Compost Testing Requirements; Compost Distribution; Compost Policies; Economic and Noneconomic Barriers to Developing Compost Markets; Strategies to Mitigate/Overcome Barriers to Developing Compost Markets; and Examples of Existing Programs and Markets (as of 1989).

Not Available

1993-11-01T23:59:59.000Z

286

Master problem approximations in Dantzig-Wolfe decomposition of variational inequality problems with applications to two energy market models  

Science Conference Proceedings (OSTI)

In this paper, a modification to Dantzig-Wolfe (DW) decomposition algorithm for variational inequality (VI) problems is considered to alleviate the computational burden and to facilitate model management and maintenance. As proposals from DW subproblems ... Keywords: Approximation of the master problem, Dantzig-Wolfe decomposition, Equilibrium modeling, Variational inequalities

Emre ÇElebi, J. David Fuller

2013-11-01T23:59:59.000Z

287

Effects of land markets and land management on ecosystem function: A framework for modelling exurban land-change  

Science Conference Proceedings (OSTI)

This paper presents the conceptual design and application of a new land-change modelling framework that represents geographical, sociological, economic, and ecological aspects of a land system. The framework provides an overarching design that can be ... Keywords: Agent-based modelling, Carbon storage and flux, Exurban development, Land-use and land-cover change, Policy

Derek T. Robinson, Shipeng Sun, Meghan Hutchins, Rick L. Riolo, Daniel G. Brown, Dawn C. Parker, Tatiana Filatova, William S. Currie, Sarah Kiger

2013-07-01T23:59:59.000Z

288

Market Organization and Market Efficiency in Electricity Markets  

E-Print Network (OSTI)

Electricity markets in the United States exhibit two different forms of organization: decentralized bilateral trading and centralized auction markets. Using detailed data on prices, quantities, and production costs, we examine how market outcomes changed when a large region in the Eastern US rapidly switched from a bilateral system of trade to a well-designed centralized auction market in 2004. Although economic theory yields ambiguous predictions, the empirical evidence indicates that shifting the venue of trade substantially improved overall market efficiency, and that these efficiency gains far exceeded implementation costs. Our analysis points to the merits of organized market institutions for electricity, a central issue in policy debates over market-oriented regulatory reforms.

Erin T. Mansur; Matthew W. White

2007-01-01T23:59:59.000Z

289

Market penetration of new energy technologies  

SciTech Connect

This report examines the characteristics, advantages, disadvantages, and, for some, the mathematical formulas of forecasting methods that can be used to forecast the market penetration of renewable energy technologies. Among the methods studied are subjective estimation, market surveys, historical analogy models, cost models, diffusion models, time-series models, and econometric models. Some of these forecasting methods are more effective than others at different developmental stages of new technologies.

Packey, D.J.

1993-02-01T23:59:59.000Z

290

LBNL-60590 JART Distributed energy resources market  

E-Print Network (OSTI)

LBNL-60590 JART Distributed energy resources market diffusion model Karl Magnus Maribua , Ryan M by the Office of Electricity Delivery and Energy Reliability, Distributed Energy Program of the U.S. Department Policy 35 (2007) 4471­4484 Distributed energy resources market diffusion model Karl Magnus Maribua

291

Capacity Markets for Electricity  

E-Print Network (OSTI)

Reliability Assessment [19] PJM, Monitoring Market Unit (at http://www.pjm.com. [20] PJM, Monitoring Market Unit (at http://www.pjm.com. [21] PJM, Monitoring Market Unit (

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

292

Geothermal Energy Market Study on the Atlantic Coastal Plain. GRITS (Version 9): Model Description and User's Guide  

DOE Green Energy (OSTI)

The Geothermal Resource Interactive Temporal Simulation (GRITS) model calculates the cost and revenue streams for the lifetime of a project that utilizes low to moderate temperature geothermal resources. With these estimates, the net present value of the project is determined. The GRITS model allows preliminary economic evaluations of direct-use applications of geothermal energy under a wide range of resource, demand, and financial conditions, some of which change over the lifetime of the project.

Kroll, Peter; Kane, Sally Minch [eds.

1982-04-01T23:59:59.000Z

293

Market Organization and Efficiency in Electricity Markets  

E-Print Network (OSTI)

and information about market procedures, and to Frank Wolak for comments on an earlier draft. v7.55 #12). It seeks to identify specific market rules and pro- tocols that can speed information revelation, discover involved in energy production and its delivery. During the past decade, this heterogeneity in market

Sadoulet, Elisabeth

294

Exchange Market Pressure and Absorption by International Reserves: Emerging Markets and Fear of Reserve Loss During the 2008-09 Crisis  

E-Print Network (OSTI)

Instability in Emerging Market Economies. University ofA Monetary Model of Exchange Market Pressure Applied to theUCB. Table 1: Exchange Market Pressure (EMP) and Pre-Crisis

Aizenman, Joshua; Hutchison, Michael

2010-01-01T23:59:59.000Z

295

Petroleum Marketing Monthly  

U.S. Energy Information Administration (EIA)

ii U.S. Energy Information Administration/Petroleum Marketing Monthly August 2011 Preface The Petroleum Marketing Monthly (PMM) provides information and statistical ...

296

Propane Market Status Report  

Gasoline and Diesel Fuel Update (EIA)

Propane Market Status Report 07272000 Click here to start Table of Contents Propane Market Status Report Propane Prices Follow Crude Oil Propane Demand by Sector Demand Impacted...

297

Capacity Markets for Electricity  

E-Print Network (OSTI)

ternative Approaches for Power Capacity Markets”, Papers andand Steven Stoft, “Installed Capacity and Price Caps: Oil onElectricity Markets Have a Capacity requirement? If So, How

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

298

Theory of market fluctuations  

E-Print Network (OSTI)

We propose coalescent mechanism of firms growing, driving by the supply and redistribution of external resources. We show, that it leads to Zipf distribution of firms over their sizes, which turns to stretched exponent because of size-dependent effects. We also present new approach to describe fluctuations in the market, based on separation of hot (short-time) and cold (long-time) degrees of freedoms. It predicts observable tent-like distribution of firm grow rates with the same exponent of the power tail for different time scales. The theory explains observable grow and decrease asymmetry of the distribution, and its dependence on firm size. We also calculate the uni- and bivariate probability distributions of price fluctuations in financial market. The model takes into account feedback between price expectations and the real price, and explains first time all the set of empirical data for all groups of stocks: "compass rose" and "market mill" patterns, conditional distribution, "D-smile", z-shaped response,...

Panyukov, S V

2008-01-01T23:59:59.000Z

299

Modelling regional input markets with numerous processing plants: The case of green maize for biogas production in Germany  

Science Conference Proceedings (OSTI)

The location of first generation processing plants for biogas using bulky inputs is a prominent example of locational decisions of plants that face high per unit transport costs of feedstock and simultaneously depend to a large extent on feedstock availability. ... Keywords: Biogas, Biomass transportation, Competitive facility location, Modelling, Transport costs

Ruth Delzeit; Wolfgang Britz; Karin Holm-Müller

2012-06-01T23:59:59.000Z

300

Biodiesel profitability and linkages to the soybean oil market.  

E-Print Network (OSTI)

??This thesis investigates the relationship between soybean oil and biodiesel markets in the US through a structural model and a time-series econometric model. A conceptual… (more)

Zahran, Hala

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

The Interest of Having Loyal Buyers in a Perishable Market  

Science Conference Proceedings (OSTI)

The aim of this paper is to show the particular role of buyer loyalty in a perishable goods market. For this we build an agent-based model, inspired by a wholesale market on which we had performed some qualitative field study. In this model we define ... Keywords: C88, D49, D83, Learning, Loyalty, Market for perishable goods, Search, Z13

Juliette Rouchier

2013-02-01T23:59:59.000Z

302

Impacts of a gas cartel on the European gas market – selected results from the supply model EUGAS  

E-Print Network (OSTI)

b, * This article introduces the simulation model EUGAS which allows a quantitative analysis of the long-term natural gas supply of Europe. Based on chosen parameter specifications, the simulation shows that no discernible physical gas scarcity at least for the next 20-30 years will occur in Europe. Significant investments in new production and transport facilities will be necessary during the next decades. Diversification of supplies and political considerations will have a significant impact on the development of new natural gas resources. Possibly, a new built gas cartel similar to the OPEC may modify the gas supply pattern of Europe.

J. Perner A; A. Seeliger

2003-01-01T23:59:59.000Z

303

Power Market Simulation Workshop  

Science Conference Proceedings (OSTI)

EPRI's first seminar on electricity market simulation provided a forum for discussion of potential modifications and applications for this new technology, specifically in the areas of market design and operations. The resounding messages heard from both speakers and participants were as follows: o The use of simulation for electricity markets has the potential to help society avoid devastating costs due to market flaws. o Market simulation can be broadly applied with a diverse set of potential users. o C...

2002-12-30T23:59:59.000Z

304

Market Analysis Toolkit | Open Energy Information  

Open Energy Info (EERE)

Market Analysis Toolkit Market Analysis Toolkit Jump to: navigation, search Search Resources Resource Type Training Materials Climate Technology Initiative Training Courses GHG Management Institute curriculum Supporting Small Forest Enterprises: A Facilitator's Toolkit Add Guides Accelerating Climate Technologies: Innovative Market Strategies to Overcome Barriers to Scale-up Supporting Small Forest Enterprises: A Facilitator's Toolkit The Climate Investment Funds-Business Guide UNEP-Bioenergy Decision Support Tool Add Lessons Learned and Best Practices Brazil LULUCF Modeling Supporting Small Forest Enterprises: A Facilitator's Toolkit Sustainable Land Management Through Market-Oriented Commodity Development: Case studies from Ethiopia Add Datasets Africa-Economic Development Report 2010

305

Diagnosing Unilateral Market Power in Electricity Reserves Market  

E-Print Network (OSTI)

and Machado, M.P. , “Bilateral Market Power and VerticalSpanish Electricity Spot Market,” 2004, CEMFI Working PaperEquilibrium in Electricity Markets,” 2004, Journal of

Knittel, Christopher R; Metaxoglou, Konstantinos

2008-01-01T23:59:59.000Z

306

Market versus Non-Market Assignment of Initial Ownership  

E-Print Network (OSTI)

Each According To? Markets, Tournaments, and the MatchingIntervention on Housing Markets in Korea,” mimeo, Sogang1993), “Moving toward a Market for Spectrum,” Regu- lation,

Che, Yeon-Koo; Gale, Ian

2007-01-01T23:59:59.000Z

307

Diagnosing Unilateral Market Power in Electricity Reserves Market  

E-Print Network (OSTI)

Cal- ifornia Power Exchange Energy Markets: Prepared for theCalifornia’s Wholesale Energy Market,” 2001, Department ofpower in the state’s energy markets (Hildebrandt [2001];

Knittel, Christopher R; Metaxoglou, Konstantinos

2008-01-01T23:59:59.000Z

308

A Market for all Farmers: Market Institutions and Smallholder Participation  

E-Print Network (OSTI)

information, such as market information systems and gradesIn many countries, market information systems perform poorlyagencies to collect reliable market information. Following

Gabre-Madhin, Eleni

2009-01-01T23:59:59.000Z

309

Creating competitive markets for ancillary services  

Science Conference Proceedings (OSTI)

This report describes the structure of, and results from, a spreadsheet model. The model simulates markets for seven services: losses, regulation, spinning reserve, supplemental reserve,load following, energy imbalance, and voltage support. For completeness, the model also calculates costs for system control, although this service will continue to be provided solely the the system operator under cost-based prices. This computer model demonstrated the likely complexity of markets for energy and ancillary services. This complexity arises because these markets are highly interdependent. Because these markets are interactive, the costs and therefore the prices of these services will vary considerably as functions of system load and the current spot price of energy. The price of ancillary services in aggregate is highly correlated with the price of energy. A base-case utility was developed for use with the model and included in the report.

Hirst, E.; Kirby, B.

1997-10-01T23:59:59.000Z

310

Hitting Time Distributions in Financial Markets  

E-Print Network (OSTI)

We analyze the hitting time distributions of stock price returns in different time windows, characterized by different levels of noise present in the market. The study has been performed on two sets of data from US markets. The first one is composed by daily price of 1071 stocks trade for the 12-year period 1987-1998, the second one is composed by high frequency data for 100 stocks for the 4-year period 1995-1998. We compare the probability distribution obtained by our empirical analysis with those obtained from different models for stock market evolution. Specifically by focusing on the statistical properties of the hitting times to reach a barrier or a given threshold, we compare the probability density function (PDF) of three models, namely the geometric Brownian motion, the GARCH model and the Heston model with that obtained from real market data. We will present also some results of a generalized Heston model.

Valenti, D; Spagnolo, B; Bonanno, Giovanni; Spagnolo, Bernardo; Valenti, Davide

2006-01-01T23:59:59.000Z

311

District heating and cooling market assessment  

SciTech Connect

For more than 10 years, the U.S. Department of Energy (DOE) has supported research on and development of district steam, hot-water, and chilled-water systems in the residential and commercial sectors. In 1991, DOE sponsored a research project at Argonne National Laboratory (ANL) to reestimate the national market for district heating and cooling (DHC) systems to the year 2010. ANL had previously developed a DHC market-penetration model and used it to project future market penetration. The first step in the project was to conduct a literature search to identify major data sources on historical DHC markets and any past studies on the future market potential of DHC systems. On the basis of an evaluation of the available data and methodologies for estimating market penetration of new technologies, it was concluded that ANL should develop a new econometric model for forecasting DHC markets. By using the 1989 DOE/Energy Information Administration Commercial Buildings Energy Consumption Surveys (CBECS) public-use-tape data, a model was estimated for steam, hot-water, and chilled-water demand in the buildings surveyed. The model provides estimates of building steam, hot-water, and chilled-water consumption and expenditures between now and the year 2010. The analysis shows that the total U.S. market for district steam, hot water, and chilled water could grow from 0.8 quadrillion British thermal units (quad) in 1989 to 1.0 quad by 2000 and 1.25 quad by 2010. The demand for chilled water could nearly double in the forecast period, and its share could approach one-third of the total DHC market. This model, and the results, should be of use to policymakers, researchers, and market participants involved in the planning and implementation of community-based, energy-conserving, and environmentally beneficial energy systems.

Teotia, A.P.S.; Karvelas, D.E.; Daniels, E.J.; Anderson, J.L.

1993-06-01T23:59:59.000Z

312

Financial Market Risk and U.S. Money Demand  

E-Print Network (OSTI)

This paper empirically examines U.S. broad money demand, emphasizing the role of financial market risk. Broad money demand displays long-run stability after controlling for financial market factors. We show that money demand rises with the liquidity risk of stock markets or the credit risk of corporate bond markets. The financial risk model for money demand surpasses the traditional model in explaining the persistent fluctuations observed in broad money demand in the last 15 years. Also, the models estimated in an error-correction specification suggest that financial market risk affects substantially the short-term fluctuations of broad money demand since the early 1990s.

Woon Gyu Choi; David Cook

2008-01-01T23:59:59.000Z

313

Optimization Online - Survivable Energy Markets  

E-Print Network (OSTI)

Mar 9, 2006... at the same time, the dayahead energy market and the reserve market in order to price through the market, beside energy, the overall cost of ...

314

Reliability and Competitive Electricity Markets  

E-Print Network (OSTI)

Behavior in a Competitive Electricity Market,” InternationalDemand Response in Electricity Markets,” Hewlett FoundationGreen, R. (1999) “The Electricity Contract Market in England

Joskow, Paul; Tirole, Jean

2004-01-01T23:59:59.000Z

315

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

study. Regions with fast energy markets, for example, changeis set aside in one energy market interval is then releasedto be dispatched in a later energy market interval, whereas

Bolinger, Mark

2013-01-01T23:59:59.000Z

316

Real world market representation with agents.  

SciTech Connect

As power markets are relatively new and still continue to evolve, there is a growing need for advanced modeling approaches that simulate the behavior of electricity markets over time and how market participants may act and react to the changing economic, financial and regulatory environments in which they operate. A new and rather promising approach is to model the electricity market as a complex adaptive system using an agent-based modeling and simulation (ABMS) approach. The purpose of an ABMS model is not necessarily to predict the outcome of a system but to reveal and understand the complex and aggregate system behaviors that emerge from the interactions of the heterogeneous individual entities. Emergent behavior is a key feature of ABMS and is not easily inferred from the simple sum of the behavior of its components. By relying on both established engineering modeling techniques as well as advanced quantitative economic market principles, the ABMS approach is uniquely suited to addressing the strategic issues of interest to different market participants as well as those of market monitors and regulators.

Koritarov, V.; Decision and Information Sciences

2004-07-01T23:59:59.000Z

317

Marketing alternative fueled automobiles  

E-Print Network (OSTI)

Marketing alternative fueled vehicles is a difficult challenge for automakers. The foundation of the market, the terms of competition, and the customer segments involved are still being defined. But automakers can draw ...

Zheng, Alex (Yi Alexis)

2011-01-01T23:59:59.000Z

318

2025 Power Marketing Initiative  

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

and is in the process of developing a plan for marketing and allocating LAP hydroelectric power after the FES contracts expire. We call this plan our 2025 Power Marketing...

319

Nordic Market Report 2009  

E-Print Network (OSTI)

....................................................................17 5 ELECTRICITY TRANSMISSION..................................................19 5.1 TRANSMISSION..............................................................................................20 5.3 ELECTRICITY TRANSMISSION: CONCLUSIONSNordic Market Report 2009 Development in the Nordic Electricity Market Report 4/2009 #12;Nordic

320

From the flea market  

E-Print Network (OSTI)

This thesis is about marketplaces in general, and one flea · market in particular. It explores some of the physical potentials the market has for generating a building and some of the social implications of a controversy ...

Krasnow, Ariel Rebecca

1986-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Game Analysis of the Evolution of Artificial Stock Market  

Science Conference Proceedings (OSTI)

In this paper, we build the participators’ logistic model of the game model in artificial stock market. The participators are three types: flexible agent, semi-flexible agent and rigidity agent. Then, we set up the game model in artificial stock ... Keywords: Artificial stock market, Game model, Agent

She Zhenyu; Yan Bo

2010-12-01T23:59:59.000Z

322

A Market for all Farmers: Market Institutions and Smallholder Participation  

E-Print Network (OSTI)

Bakken, H. (1953). Theory of Markets and Marketing. Madison,1988). The Firm, the Market and the Law. Chicago: UniversityPolicies: The Case of Cereal Markets in West Africa’, in

Gabre-Madhin, Eleni

2009-01-01T23:59:59.000Z

323

Market Research Berkeley FIRST  

E-Print Network (OSTI)

Market Research Berkeley FIRST i dDevi Prasad Dt: 03/25/2008 #12;2 Customer Survey Goalsy 1 has > 50% natural gas component ( l di l t i h ) 38 9% 82 d t(excluding electric charges) 38.9% 82 Determine market barriers and purchase factors1.Determine market barriers and purchase factors 2.Relation

Kammen, Daniel M.

324

Steam driven markets  

Science Conference Proceedings (OSTI)

The market for steam equipment has been relatively level. Looking ahead, manufacturers anticipate steady market growth worldwide. Steam equipment manufacturers share a similar view of the market for next few years - upward. The steady upward climb is being attributed to a number of factors that will benefit steam turbine and heat recovery steam generator (HRSG) makers.

Anderson, J.L.

1993-02-01T23:59:59.000Z

325

Cross-Market Discounts  

Science Conference Proceedings (OSTI)

Firms in several markets attract consumers by offering discounts in other unrelated markets. This promotion strategy, which we call “cross-market discounts,” has been successfully adopted in the last few years by many grocery retailers in ... Keywords: competition, fuelperks!, game theory, nonlinear pricing, retail promotions

Marcel Goi?; Kinshuk Jerath; Kannan Srinivasan

2011-01-01T23:59:59.000Z

326

Integration and Information: Markets and Hierarchies Revisited  

E-Print Network (OSTI)

We analyze a rational-expectations model of price formation in an intermediate-good market under uncertainty. There is a continuum of dyads, each consisting of an upstream party and downstream party. Both parties can make ...

Gibbons, Robert

327

Essays in energy and environmental markets  

E-Print Network (OSTI)

In this thesis, I explore issues related to energy and environmental markets. In the first chapter, I examine the benefits of complementary bidding mechanisms used in electricity auctions. I develop a model of complex ...

Reguant-Rido, Mar

2011-01-01T23:59:59.000Z

328

Theoretical Investigation of Prediction Markets with Aggregate Uncertainty  

E-Print Network (OSTI)

forecast the value of the random variable. It then becomes a prediction market. We establish a simple model to an equilibrium, where traders have consensus about the forecast. We have also shown that the best possible that market price of the security incorporates all available information of all market traders

Mullen, Tracy

329

Capacity-constrained multiple-market price discrimination  

Science Conference Proceedings (OSTI)

This paper studies a multiple-market price discrimination problem with different markets' demand elasticity and supply constraints, whereas the markets share a common capacity. We model the problem as a continuous nonlinear knapsack problem, and propose ... Keywords: Knapsack problem, Nonlinear programming, Price discrimination

Bin Zhang

2012-01-01T23:59:59.000Z

330

Market Transformation Fact Sheet  

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

Transformation Market Transformation is based on the concept that federal support can catalyze a market to achieve economic and environmental benefits that can reduce costs through economies of scale. Adoption of fuel cells in emerging markets expands the growth of green jobs, with new opportunities in manufacturing, fuel cell maintenance and support systems, and domestic hydrogen fuel production and delivery. By providing reliable field operations data and increasing user confidence, early market deployments help overcome non-technical challenges like developing appropriate safety codes and standards and reducing high insurance costs. Strategies Market Transformation's primary goal is to accelerate the expansion of hydrogen and fuel cell use by lowering the life

331

Collusion MARKET PERFORMANCE  

E-Print Network (OSTI)

Advocates of deregulating electricity markets claimed that allowing competition would benefit consumers by increasing efficiency and reducing costs. They viewed electricity as a commodity much like any other, and overlooked the ways in which electricity’s many distinct features hinder the development of competitive market structures. While competitive features were introduced into electricity markets in the last 10 years, the necessary elements for the market structure of competition—large number of sellers, ease of entry, and transparency of information—are still not in place. 1 This bibliography was prepared as an addendum to the 2006 Performance Review of Electric Power Markets

Kenneth Rose, Ph.D.; Karl Meeusen

2007-01-01T23:59:59.000Z

332

A Chaotic Approach to Market Dynamics  

E-Print Network (OSTI)

Economy is demanding new models, able to understand and predict the evolution of markets. To this respect, Econophysics is offering models of markets as complex systems, such as the gas-like model, able to predict money distributions observed in real economies. However, this model reveals some technical hitches to explain the power law (Pareto) distribution, observed in individuals with high incomes. Here, non linear dynamics is introduced in the gas-like model. The results obtained demonstrate that a chaotic gas-like model can reproduce the two money distributions observed in real economies (Exponential and Pareto). Moreover, it is able to control the transition between them. This may give some insight of the micro-level causes that originate unfair distributions of money in a global society. Ultimately, the chaotic model makes obvious the inherent instability of asymmetric scenarios, where sinks of wealth appear in the market and doom it to complete inequality.

Carmen Pellicer-Lostao; Ricardo Lopez-Ruiz

2010-08-04T23:59:59.000Z

333

Market concentration and marketing power among electricity generators in Texas  

SciTech Connect

Policy initiatives designed to foster competition among electricity generators in Texas face a special challenge due to the relative isolation of that system. This isolation contributes to high levels of market concentration and market power that could hinder the development of a truly competitive market. This paper examines market concentration and market power in the ERCOT market for electricity generation by calculating the Herfindahl-Hirschman index (HHI) under various assumptions to gauge the degree of market concentration among generators in ERCOT. In addition, some ongoing studies of market power in ERCOT are discussed. The distinction between market concentration and market power is highlighted.

Zarnikau, J.; Lam, A. [Planergy Inc., Austin, TX (United States)

1998-11-01T23:59:59.000Z

334

The Impact of Imperfect Permit Market on Congested Electricity Market Equilibrium  

E-Print Network (OSTI)

The Impact of Imperfect Permit Market on Congested Electricity Market Equilibrium Tanachai Limpaitoon, Yihsu Chen, Shmuel S. Oren The impact and efficacy of a cap-and-trade regulation on electric, and strategic behavior of generation firms. This paper develops an equilibrium model of an oligopoly electricity

Oren, Shmuel S.

335

Energy Efficiency Program and Market Trends  

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

Energy Efficiency Program and Market Trends Energy Efficiency Program and Market Trends EETD's energy efficiency program and market trends research includes technical, economic and policy analysis to inform public and private decision-making on public-interest issues related to utility-sector energy efficiency programs and regulation, and government-funded energy efficiency initiatives. LBNL's research in this area is focused on: Energy efficiency portfolio planning and market assessment, Design and implementation of a portfolio of energy efficiency programs that achieve various policy objectives Utility sector energy efficiency business models, Options for administering energy efficiency programs, Evaluation, measurement and verification of energy efficiency impacts and ESCO industry and market trends and performance.

336

Assumptions to the Annual Energy Outlook 1999 - Electricity Market...  

Gasoline and Diesel Fuel Update (EIA)

economical to continue running them. Each year, the model determines whether the market price of electricity is sufficient to support the continued operating of existing plants....

337

Gray Markets, A Product of Demand Uncertainty and Excess Inventory.  

E-Print Network (OSTI)

two-market stochastic inventory system, Management Science.M. , P. Kouvelis. 2007. Inventory, speculation, and sourcing2001. A two-location inventory model with transshipment and

Ahmadi, R.; Carr, S. M.; Dasu, S.

2011-01-01T23:59:59.000Z

338

Market behavior under partial price controls: the case of the retail gasoline market  

SciTech Connect

The use of firm-specific controls on the price of gasoline during 1979 and 1980, at both the wholesale and the retail level, dramatically affected the retail market for gasoline. The most visible effect was a diversity of monetary prices across service stations within particular retail market areas. Price could no longer play its usual role in clearing the retail market for gasoline. Queues and other changes in quality of service at stations arose to maintain the balance of market demand and supply. This report examines the behavior of an otherwise competitive market in the presence of such regulation-induced nonprice phenomena. In such a market, consumers consider both monetary prices and costs imposed by queues in deciding where to buy gasoline and how much to buy. Using a price-theoretic model of behavior, this paper predicts how various changes in effective price regulation affect consumers. 14 references, 7 figures, 2 tables.

Camm, F.

1983-03-01T23:59:59.000Z

339

North American Natural Gas Markets  

Science Conference Proceedings (OSTI)

This report summarizes die research by an Energy Modeling Forum working group on the evolution of the North American natural gas markets between now and 2010. The group's findings are based partly on the results of a set of economic models of the natural gas industry that were run for four scenarios representing significantly different conditions: two oil price scenarios (upper and lower), a smaller total US resource base (low US resource case), and increased potential gas demand for electric generation (high US demand case). Several issues, such as the direction of regulatory policy and the size of the gas resource base, were analyzed separately without the use of models.

Not Available

1989-02-01T23:59:59.000Z

340

Speculative Trading and Market Performance: The Effect of Arbitrageurs on Efficiency and Market Power in the New York Electricity Market  

E-Print Network (OSTI)

While the effect speculators have on forward premiums (the difference between forward and expected spot prices) has been widely studied, there has been very little focus on the effect speculators have on competition in the product market. I study the effect speculators have had on production decisions and price levels in New York’s deregulated electricity market. For the first two years of its operation, the market, which opened in November 1999, restricted trade to producers and retailers of electricity. During this period, the forward price of electricity in western New York was significantly higher than the expected spot price. I show that, after the market opened to purely speculative traders, the forward premium significantly decreased. In addition, the forward price of transmission (the price difference between two geographically distinct points) ceased to differ significantly from the expected spot price of transmission. I present a theoretical model to help understand these price relationships and other possible effects of speculators on market prices and firms’ production decisions. Absent speculators, the model predicts that firms with market power will price discriminate between the forward and spot markets for electricity, resulting

Celeste Saravia

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Humans, Robots and Market Crashes: A Laboratory Study ?  

E-Print Network (OSTI)

Du?y, J. (2006). Agent-Based Models and Human SubjectFinancial markets, agent-based models, experimentalIn response, several agent-based models have been proposed.

Feldman, Todd; Friedman, Daniel

2008-01-01T23:59:59.000Z

342

Global Timber Market and Forestry Data Project | Open Energy Information  

Open Energy Info (EERE)

Global Timber Market and Forestry Data Project Global Timber Market and Forestry Data Project Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Global Timber Market and Forestry Data Project Agency/Company /Organization: Ohio State University Sector: Land Focus Area: Forestry Topics: Market analysis, Resource assessment Resource Type: Dataset Website: aede.osu.edu/people/sohngen.1/forests/GTM/index.htm Global Timber Market and Forestry Data Project Screenshot References: Global Timber Market and Forestry Data Project[1] About "This website provides data on global forest resources and timber markets. The purpose of this data is to help modelers advance understanding about the important role that forests play in the global ecosystem and the effects that markets have on these resources. The data can be used by

343

Market integration in the international coal industry: A cointegration approach  

SciTech Connect

The purpose of this paper is to test the hypothesis of the existence of a single economic market for the international coal industry, separated for coking and steam coal, and to investigate market integration over time. This has been conducted by applying cointegration and error-correction models on quarterly price series data in Europe and Japan over the time period 1980-2000. Both the coking and the steam coal markets show evidence of global market integration, as demonstrated by the stable long-run cointegrating relationship between the respective price series in different world regions. This supports the hypothesis of a globally integrated market. However, when analyzing market integration over time it is not possible to confirm cointegration in the 1990s for steam coal. Thus, compared to the coking coal market, the steam coal market looks somewhat less global in scope.

Warell, L. [University of Lulea, Lulea (Sweden). Dept. of Business Administration & Social Science

2006-07-01T23:59:59.000Z

344

Derived enriched uranium market  

SciTech Connect

The potential impact on the uranium market of highly enriched uranium from nuclear weapons dismantling in the Russian Federation and the USA is analyzed. Uranium supply, conversion, and enrichment factors are outlined for each country; inventories are also listed. The enrichment component and conversion components are expected to cause little disruption to uranium markets. The uranium component of Russian derived enriched uranium hexafluoride is unresolved; US legislation places constraints on its introduction into the US market.

Rutkowski, E.

1996-12-01T23:59:59.000Z

345

Residential Price - Marketers  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

346

Coal News and Markets  

U.S. Energy Information Administration (EIA)

Metallurgical coal markets became volatile when the thriving Chinese steel industry in late 2003 and 2004 made outsized demands for coking coal and met coke, ...

347

Market Transformation Programs  

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

Efficiency Improvement Opportunities in TVs Implications for Market Transformation Programs journal Energy Policy volume year month pages keywords appliance energy efficiency...

348

Market Acceleration (Fact Sheet)  

DOE Green Energy (OSTI)

The fact sheet summarizes the goals and activities of the DOE Solar Energy Technologies Program efforts within its market acceleration subprogram.

Not Available

2010-09-01T23:59:59.000Z

349

Finding the market price  

SciTech Connect

The short-term power exchange offers a glimpse of the deregulated power market. As the electric power industry goes the way of other formerly regulated monopolicies in the United States, incentives will continue to grow for novel ways to trade electricity in hitherto uncharted markets. The emergence of open power markets. The emergence of open power markets thus far has been a patchwork affair. Federally mandated competition in wholesale markets has only recently taken place and all jurisdictional transmission owners must file open access transmission tariffs with the Federal Energy Regulatory Commission. The national agenda has been spotted here and there by state or even utility-specific efforts to unlock retail markets but most of these will take years to implement. Thus, the most common complaint of power market professions is a basic one: It is difficult to determine the market price of electricity. The basic building blocks of an efficient market are missing, e.g. no multitudes of willing buyers and sellers, few arms-length purchases, no price transparency.

Huetteman, T.J.; Stasiak, S.

1996-09-01T23:59:59.000Z

350

Market review: Market values summary July market review/current market data  

SciTech Connect

A summary of financial data for the uranium spot market is provided. Recent transactions are tabulated, including uranium sales, natural uranium loans, conversion sales, and enrichment sales. A market values summary and long-term price indicators are also provided. The July 1996 market review data includes summaries of near-term uranium sales, near-term supply/demand, NUEXCO values, USEC prices, and calculated worth of enriched uranium. Active projects in uranium, conversion, and separative work supply and demand are listed. International market values are tabulated for 22 selected currencies.

NONE

1996-08-01T23:59:59.000Z

351

Using Forward Markets to Improve Electricity Market Design  

E-Print Network (OSTI)

Forward markets, both medium term and long term, complement the spot market for wholesale electricity. The forward markets reduce risk, mitigate market power, and coordinate new investment. In the medium term, a forward energy market lets suppliers and demanders lock in energy prices and quantities for one to three years. In the long term, a forward reliability market assures adequate resources are available when they are needed most. The forward markets reduce risk for both sides of the market, since they reduce the quantity of energy that trades at the more volatile spot price. Spot market power is mitigated by putting suppliers and demanders in a more balanced position at the time of the spot market. The markets also reduce transaction costs and improve liquidity and transparency. Recent innovations to the Colombia market illustrate the basic elements of the forward markets and their beneficial role. 1

Lawrence M. Ausubel; Peter Cramton

2010-01-01T23:59:59.000Z

352

An Agent Based System for California Electricity Market: A Perspective of Myopic Machine Learning  

Science Conference Proceedings (OSTI)

In recent years, an agent based system is widely adopted to model a deregulated electricity market. [1] and [2] have developed a Multi-Agent Intelligent Simulator (MAIS) to model the structure of US wholesale market. The methodological practicality was ...

Toshiyuki Sueyoshi; Gopalakrishna Reddy Tadiparthi

2007-12-01T23:59:59.000Z

353

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

354

Designing Rules for the Capacity Market Hlne Le Cadre Michal Soubra  

E-Print Network (OSTI)

In this article, the energy market is a modeled as a Stackelberg game involving three categories of agents per unit of demand. Finally, coupling the energy and the capacity markets, we design rules for the ca the liberalization of the energy market and imposes the creation of a capacity market in 2015 which long term goal

355

Deployment & Market Transformation (Brochure)  

SciTech Connect

NREL's deployment and market transformation (D and MT) activities encompass the laboratory's full range of technologies, which span the energy efficiency and renewable energy spectrum. NREL staff educates partners on how they can advance sustainable energy applications and also provides clients with best practices for reducing barriers to innovation and market transformation.

Not Available

2012-04-01T23:59:59.000Z

356

Export markets gain strength  

SciTech Connect

The prices for internally traded coal in the USA have reached record levels and the future market fundamentals look very good. This is mainly due to Asian demand. The article discusses recent markets for US coal and summarizes findings of a recent study by Hill & Associates entitled 'International coal trade - supply, demand and prices to 2025'. 1 ref., 2 tabs.

Fiscor, S.

2008-02-15T23:59:59.000Z

357

Deployment & Market Transformation (Brochure)  

SciTech Connect

NREL's deployment and market transformation (D and MT) activities encompass the laboratory's full range of technologies, which span the energy efficiency and renewable energy spectrum. NREL staff educates partners on how they can advance sustainable energy applications and also provides clients with best practices for reducing barriers to innovation and market transformation.

2012-04-01T23:59:59.000Z

358

Comparing Wealth Effects: The Stock Market versus the Housing Market  

E-Print Network (OSTI)

MAREKET VERSUS THE HOUSING MARKET By Karl E. Case John M.Article ? Comparing Wealth E?ects: The Stock Market versusthe Housing Market Karl E. Case ? John M. Quigley † Robert

Case, Karl E.; Quigley, John M.; Shiller, Robert J.

2005-01-01T23:59:59.000Z

359

Diagnosing Unilateral Market Power in Electricity Reserves Market  

E-Print Network (OSTI)

Sep Figure 6: Energy market clearing prices CALPX $/MW $/MWbelow or above the price of the energy market that they mayreal-time energy) markets were subject to a price cap of $

Knittel, Christopher R; Metaxoglou, Konstantinos

2008-01-01T23:59:59.000Z

360

Standardization in Technology-Based Markets  

Science Conference Proceedings (OSTI)

... and servicing the markets based on ... Their established market positions promote evolutionary as ... of developing, producing, and marketing the core ...

2013-09-19T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

MARKet ALlocation (MARKAL) | Open Energy Information  

Open Energy Info (EERE)

MARKet ALlocation (MARKAL) MARKet ALlocation (MARKAL) Jump to: navigation, search Tool Summary Name: MARKet ALlocation (MARKAL) Agency/Company /Organization: Brookhaven National Laboratory Sector: Energy Topics: Baseline projection, Pathways analysis, Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.iea-etsap.org/web/Markal.asp Cost: Paid OpenEI Keyword(s): EERE tool References: MARKAL website[1] Related Tools Ventana's Energy, Environment, Economy-Society (E3S) Model Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) General Equilibrium Model for Economy - Energy - Environment (GEM-E3) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS An integrated energy systems modeling platform that can be used to analyze

362

Electricity market clearing price forecasting under a deregulated electricity market .  

E-Print Network (OSTI)

??Under deregulated electric market, electricity price is no longer set by the monopoly utility company rather it responds to the market and operating conditions. Offering… (more)

Yan, Xing

2009-01-01T23:59:59.000Z

363

MARKETING WORKS: Marketing Works is an opportunity for companies and organizations to commission a marketing  

E-Print Network (OSTI)

MARKETING WORKS: Marketing Works is an opportunity for companies and organizations to commission a marketing project, undertaken by postgraduate students from Strathclyde Business School's MSc programmes in the marketing department. In 2010/11 we undertook 22 Marketing Works projects, to include a wide range

Martin, Ralph R.

364

EIA-DOE Vehicle Choice and Markets Technical Workshop  

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

DOE Vehicle Choice and Markets Technical Workshop 1 DOE Vehicle Choice and Markets Technical Workshop 1 January 2013 EIA-DOE Vehicle Choice and Markets Technical Workshop Meeting Summary The Department of Energy (DOE) and Energy Information Administration (EIA) held a workshop on January 25th, 2013 in Detroit, MI with marketing and automotive industry experts to discuss and better understand consumer acceptance of hybrid, plug-in hybrid, and battery electric vehicles. The workshop focused on recent survey analyses, market representation, state of the art modeling, and comparisons of projected model results. This event provided a rare and insightful opportunity to compare and contrast our understanding and representation of vehicle markets and vehicle choice modeling with our nation's automotive leaders to assure that EIA's future projections and policy

365

Regulation, Volatility and Efficiency in Continuous-Time Markets  

E-Print Network (OSTI)

We analyze the efficiency of markets with friction, particularly power markets. We model the market as a dynamic system with $(d_t;\\,t\\geq 0)$ the demand process and $(s_t;\\,t\\geq 0)$ the supply process. Using stochastic differential equations to model the dynamics with friction, we investigate the efficiency of the market under an integrated expected undiscounted cost function solving the optimal control problem. Then, we extend the setup to a game theoretic model where multiple suppliers and consumers interact continuously by setting prices in a dynamic market with friction. We investigate the equilibrium, and analyze the efficiency of the market under an integrated expected social cost function. We provide an intriguing efficiency-volatility no-free-lunch trade-off theorem.

Kizilkale, Arman C

2011-01-01T23:59:59.000Z

366

Projecting market demand for residential heat pumps  

SciTech Connect

Primarily because of technological improvements and sharp increases in energy prices after the 1970s energy crises, the sale of residential electric heat pumps rose ninefold from 1970 to 1983. This report describes current and future market demand for heat pumps used for space heating and cooling. A three-step approach was followed. In the first step, the historical growth of residential electric heat pumps was analyzed, and factors that may have affected market growth were examined. Also examined were installation trends of heat pumps in new single-family and multifamily homes. A market segmentation analysis was used to estimate market size by categories. In the second step, several methods for forecasting future market demand were reviewed and evaluated to select the most suitable one for this study. The discrete-choice approach was chosen. In the third step, a market penetration model based on selected discrete-choice methods was developed to project heat pump demand in key market segments such as home type (single-family or multifamily), new or existing construction, and race-ethnic origin of household (black, Hispanic, or white).

Teotia, A.P.S.; Raju, P.S.; Karvelas, D.; Anderson, J.

1987-04-01T23:59:59.000Z

367

University of California Energy Institute The California Electricity Market  

E-Print Network (OSTI)

University of California Energy Institute The California Electricity Market: What a long strange trip it's been #12;University of California Energy Institute Market Organization in California · ISO of California Energy Institute Transmission Pricing Models · Fixed cost pricing models (cost recovery

California at Berkeley. University of

368

Ancillary services market in California  

SciTech Connect

This report includes sections on the following topics: (1) California restructured electricity system overview; (2) Reliability criteria; (3) Design of the California ISO ancillary services market; (4) Operation of ancillary services markets; (5) Ancillary services markets redesign; and (6) Conclusions.

Gomez, T.; Marnay, C.; Siddiqui, A.; Liew, L.; Khavkin, M.

1999-07-01T23:59:59.000Z

369

Market value and patent citations  

E-Print Network (OSTI)

Press, 1987. —, —, and —. “R&D, Patents, and Market ValueStock Market Valuation of R&D Investment during the 1980s. ”1976. Pakes, A. “On Patents, R&D, and the Stock Market Rate

Hall, Bronwyn H.; Jaffe, A; Trajtenberg, M

2005-01-01T23:59:59.000Z

370

Reliability and competitive electricity markets  

E-Print Network (OSTI)

Despite all of the talk about ?deregulation? of the electricity sector, a large number of non-market mechanisms have been imposed on emerging competitive wholesale and retail markets. These mechanisms include spot market ...

Joskow, Paul L.

2004-01-01T23:59:59.000Z

371

Reliability and Competitive Electricity Markets  

E-Print Network (OSTI)

as energy is dispatched only when the market price exceedsof energy sold in the wholesale spot market: • The price-energy dispatched through the market and a second higher price

Joskow, Paul; Tirole, Jean

2004-01-01T23:59:59.000Z

372

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you’ll find marketing summaries of energy analysis models, tools, and software ...

373

Managing electricity reliability risk through the futures markets  

SciTech Connect

In competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, often cease to exist. Typically, the burden falls to an independent system operator (ISO) to insure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, we model a spot market for electricity and futures markets for both electricity and AS. By assuming that each participant seeks to maximize its expected utility of wealth and that all markets clear, we solve for the optional quantities of electricity and AS traded in each market by all participants, as well as the corresponding market-clearing prices. We show that future prices for both electricity and AS depend on expectations of the spot price, statistical aspects of system demand, and production cost parameters. More important, our model captures the fact that electricity and AS are substitute products for the generators, implying that anticipated changes in the spot market will affect the equilibrium futures positions of both electricity and AS. We apply our model to the California electricity and AS markets to test its viability.

Siddiqui, Afzal S.

2000-10-01T23:59:59.000Z

374

2011 Wind Technologies Market Report  

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

PROGRAM 2 Presentation Overview * Introduction to current edition of U.S. wind energy market report * Wind Energy Market Trends - Installation trends - Industry trends - Cost...

375

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

natural gas prices), reversed this long-term trend in 2009gas market. 2010 Wind Technologies Market Report 4. Price, Cost, and Performance Trends

Wiser, Ryan

2012-01-01T23:59:59.000Z

376

2012 Wind Technologies Market Report  

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

2012 Wind Technologies Market Report Title 2012 Wind Technologies Market Report Publication Type Report LBNL Report Number LBNL-6356E Year of Publication 2013 Authors Wiser, Ryan...

377

Reliability and Markets Program Information  

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

Summary of the Tranmission Reliability program's Reliability and Markets activity area. The program helps to increase grid reliability and reduce costs for customers using integrated market and...

378

2011 Wind Technologies Market Report  

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

2011 Wind Technologies Market Report Title 2011 Wind Technologies Market Report Publication Type Report Year of Publication 2012 Authors Wiser, Ryan H., and Mark Bolinger Date...

379

NREL: Energy Analysis - Market Analysis  

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

Market Analysis The laboratory's market analysis helps increase the use of renewable energy (RE) and energy efficiency (EE) technologies in the marketplace by providing strategic...

380

2012 Wind Technologies Market Report  

DOE Green Energy (OSTI)

This report describes the status of the U.S. wind energy industry market in 2012; its trends, performance, market drivers and future outlook.

Wiser, R.; Bolinger, M.; Barbose, G.; Darghouth, N.; Hoen, B.; Mills, A.; Weaver, S.; Porter, K.; Buckley, M.; Fink, S.; Oteri, F.; Tegen, S.

2013-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

2011 Wind Technologies Market Report  

DOE Green Energy (OSTI)

This report describes the status of the U.S. wind energy industry market in 2011; its trends, performance, market drivers and future outlook.

Wiser, R.; Bolinger, M.

2012-08-01T23:59:59.000Z

382

2010 Wind Technologies Market Report  

DOE Green Energy (OSTI)

This report describes the status of the U.S. wind energy industry market in 2010; its trends, performance, market drivers and future outlook.

Wiser, R.; Bolinger, M.

2011-06-01T23:59:59.000Z

383

Marketing Quality Energy Awareness  

E-Print Network (OSTI)

Marketing and quality concepts were utilized in developing an employee awareness plan to facilitate long term employee participation that improved energy efficiency 15%. The plan was successfully introduced on a test basis in two manufacturing locations and now is a part of overall operations. The marketing concepts aided in determining who was the customer and what functional value an awareness plan has for employees (customers). Quality concepts, including performance management, augmented marketing strategies by determining customer requirements, measurements and feedback. The agreed upon critical components were formatted into an organized plan of education, assigned responsibility, feedback and incentives.

Fortier, L. J.

1988-09-01T23:59:59.000Z

384

MARKet ALlocation (MARKAL) | Open Energy Information  

Open Energy Info (EERE)

MARKet ALlocation (MARKAL) MARKet ALlocation (MARKAL) (Redirected from MARKAL) Jump to: navigation, search Tool Summary Name: MARKet ALlocation (MARKAL) Agency/Company /Organization: Brookhaven National Laboratory Sector: Energy Topics: Baseline projection, Pathways analysis, Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.iea-etsap.org/web/Markal.asp Cost: Paid OpenEI Keyword(s): EERE tool References: MARKAL website[1] Related Tools Ventana's Energy, Environment, Economy-Society (E3S) Model Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) General Equilibrium Model for Economy - Energy - Environment (GEM-E3) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS

385

Liquid Fuels Market Module  

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

Liquid Fuels Market Module Liquid Fuels Market Module This page inTenTionally lefT blank 145 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Liquid Fuels Market Module The NEMS Liquid Fuels Market Module (LFMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, esters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the LFMM projects capacity expansion and fuel consumption at domestic refineries. The LFMM contains a linear programming (LP) representation of U.S. petroleum refining

386

Coal markets squeeze producers  

SciTech Connect

Supply/demand fundamentals seem poised to keep prices of competing fossil fuels high, which could cushion coal prices, but increased mining and transportation costs may squeeze producer profits. Are markets ready for more volatility?

Ryan, M.

2005-12-01T23:59:59.000Z

387

Capacity Markets for Electricity  

E-Print Network (OSTI)

incentives to respond to real-time prices. This implies thatve minutes and providing real-time price of See Joskow andthe highest prices in the PJM real-time spot market occurred

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

388

Task 1: Market Analysis  

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

Final Report - 12501 3 ABSTRACT Building upon the 1999 AD Little Study, an expanded market analysis was performed by GE Power Systems in 2001 to quantify the potential demand...

389

Petroleum marketing annual 1994  

SciTech Connect

The Petroleum Marketing Annual (PMA) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysis, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the fob and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Annual. For this production, all estimates have been recalculated since their earlier publication in the Petroleum Marketing Monthly (PMM). These calculations made use of additional data and corrections that were received after the PMM publication date.

NONE

1995-08-24T23:59:59.000Z

390

Allocating Transmission to Mitigate Market Power in Electricity Markets  

E-Print Network (OSTI)

energy spot market equilibrium price is predictable, as it is with Cournot competition and information

Gilbert, Richard; Neuhoff, Karsten; Newberry, David

2002-01-01T23:59:59.000Z

391

Forward capacity market CONEfusion  

Science Conference Proceedings (OSTI)

In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

Wilson, James F.

2010-11-15T23:59:59.000Z

392

Designing Competitive Electricity Markets  

Science Conference Proceedings (OSTI)

This volume contains papers that were discussed at the first workshop on Markets for Electricity: Economics and Technology (MEET) held at Stanford University on March 7-8, 1997. The workshop's focus was how to design competitive electricity markets in an industry undergoing rapid changes in both economics and technology. The intended audience includes policy makers, policy-oriented academics, and corporate leaders. Chapters include: Introduction: Economic and Technological Principles in Designing Power M...

1998-12-19T23:59:59.000Z

393

2002 EIA Models Directory - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Levelized Nuclear Fuel Cycle Cost Model (LNFCC-PC) Propane Market Model (PPMM) Short-Term Hydroelectric Generation Model (STHGM)

394

Petroleum Marketing Annual, 1987  

SciTech Connect

In world crude oil markets, 1987 was a year of limited recovery and relative stability after the dramatic price slide of early 1986. Both foreign and domestic crude thereafter, ending the year somewhat higher than a year ago. In contrast, product wholesale markets remained relatively stable throughout the year, while retail prices sustained a fairly steady increase. As has been the case for over a decade, major price movements in international oil markets generally reflected responses to actual or perceived changes in the policies of the Organization of Petroleum Exporting Countries (OPEC) and/or its members. The year began with prices on an upward trend, in reaction to the December 1986 OPEC meeting in which the members resolved to return to an official pricing structure (a departure from the market-based pricing of 1986), and to reduce output quotas. Prices continued to rise until August, when evidence of continued OPEC overproduction appeared to outweigh market optimism, triggering a gradual slide that lasted the remainder of the year. Even with the downturn in the fourth quarter, crude oil markets in 1987, as measured by refiner acquisition costs, finished the year above year-end 1986 levels, and considerably above the lows reached in mid-1986. OPEC's struggle to maintain stable prices and production levels in 1987 reflected the organization's difficulties in reaching and enforcing agreements among its politically and economically diverse membership. 11 figs., 49 tabs.

1988-10-31T23:59:59.000Z

395

Market Design Test Environments  

SciTech Connect

Power industry restructuring continues to evolve at multiple levels of system operations. At the bulk electricity level, several organizations charged with regional system operation are implementing versions of a Wholesale Power Market Platform (WPMP) in response to U.S. Federal Energy Regulatory Commission initiatives. Recently the Energy Policy Act of 2005 and several regional initiatives have been pressing the integration of demand response as a resource for system operations. These policy and regulatory pressures are driving the exploration of new market designs at the wholesale and retail levels. The complex interplay among structural conditions, market protocols, and learning behaviors in relation to short-term and longer-term market performance demand a flexible computational environment where designs can be tested and sensitivities to power system and market rule changes can be explored. This paper presents the use of agent-based computational methods in the study of electricity markets at the wholesale and retail levels, and distinctions in problem formulation between these levels.

Widergren, Steven E.; Sun, Junjie; Tesfatsion, Leigh

2006-06-18T23:59:59.000Z

396

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

397

Research and evaluation of biomass resources/conversion/utilization systems (market/experimental analysis for development of a data base for a fuels from biomass model). Quarterly technical progress report, November 1, 1979-January 31, 1980  

DOE Green Energy (OSTI)

The biomass allocation model has been developed and is undergoing testing. Data bases for biomass feedstock and thermochemical products are complete. Simulated data on process efficiency and product costs are being used while more accurate data are being developed. Market analyses data are stored for the biomass allocation model. The modeling activity will assist in providing process efficiency information required for the allocation model. Process models for entrained bed and fixed bed gasifiers based on coal have been adapted to biomass. Fuel product manufacturing costs will be used as inputs for the data banks of the biomass allocations model. Conceptual economics have been generated for seven of the fourteen process configurations via a biomass economic computer program. The PDU studies are designed to demonstrate steady state thermochemical conversions of biomass to fuels in fluidized, moving and entrained bed reactor configurations. Pulse tests in a fluidized bed to determine the effect of particle size on reaction rates and product gas composition have been completed. Two hour shakedown tests using peanut hulls and wood as the biomass feedstock and the fluidized bed reactor mode have been carried out. A comparison was made of the gas composition using air and steam - O/sub 2/. Biomass thermal profiles and biomass composition information shall be provided. To date approximately 70 biomass types have been collected. Chemical characterization of this material has begun. Thermal gravimetric, pyrogaschromatographic and effluent gas analysis has begun on pelletized samples of these biomass species.

Ahn, Y.K.; Chen, Y.C.; Chen, H.T.; Helm, R.W.; Nelson, E.T.; Shields, K.J.; Stringer, R.P.; Bailie, R.C.

1980-01-01T23:59:59.000Z

398

Geothermal hydrothermal direct heat use: US market size and market penetration estimates  

Science Conference Proceedings (OSTI)

This study estimates the future regional and national market penetration path of hydrothermal geothermal direct heat applications in the United States. A Technology Substitution Model (MARPEN) is developed and used to estimate the energy market shares captured by low-temperature (50 to 150/sup 0/C) hydrothermal geothermal energy systems over the period 1985 to 2020. The sensitivity of hydrothermal direct heat market shares to various government hydrothermal commercialization policies is examined. Several substantive recommendations to help accelerate commercialization of geothermal direct heat utilization in the United States are indicated and possible additional analyses are discussed.

El Sawy, A.H.; Entingh, D.J.

1980-09-01T23:59:59.000Z

399

Econophysical Dynamics of Market-Based Electric Power Distribution Systems  

E-Print Network (OSTI)

As energy markets begin clearing at sub-hourly rates, their interaction with load control systems becomes a potentially important consideration. A simple model for the control of thermal systems using market-based power distribution strategies is proposed, with particular attention to the behavior and dynamics of electric building loads and distribution-level power markets. Observations of dynamic behavior of simple numerical model are compared to that of an aggregate continuous model. The analytic solution of the continuous model suggests important deficiencies in each. The continuous model provides very valuable insights into how one might design such load control system and design the power markets they interact with. We also highlight important shortcomings of the continuous model which we believe must be addressed using discrete models.

Nicolas Ho; David P. Chassin

2006-02-09T23:59:59.000Z

400

2010 Solar Technologies Market Report  

DOE Green Energy (OSTI)

The U.S. Department of Energy (DOE) 2010 Solar Technologies Market Report details the market conditions and trends for photovoltaic (PV) and concentrating solar power (CSP) technologies. Produced by the National Renewable Energy Laboratory (NREL), the report provides a comprehensive overview of the solar electricity market and identifies successes and trends within the market from both global and national perspectives.

Not Available

2011-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Does stock market volatility with regime shifts signal the business cycle in Taiwan?  

Science Conference Proceedings (OSTI)

Using a Switching Regime ARCH (SWARCH) model and other time series models, this paper sets out to investigate the volatility of Taiwan's monthly stock market returns, with the empirical results demonstrating that our SWARCH-L specification ... Keywords: Markov switching, Taiwan, business cycle, e-finance, electronic finance, regime shifts, stock market volatility, stock markets, stock volatility

Yih-Wen Shyu; Kuangyu Hsia

2008-12-01T23:59:59.000Z

402

Hydrogen Delivery Analysis Models  

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

model for delivery system component costs and performance: Components Model Delivery scenario model for Urban and Rural Interstate markets and demand levels (Mkt....

403

Market vs. Non-Market Approaches  

Science Conference Proceedings (OSTI)

This report documents a study comparing several alternative policy mechanisms being considered to cut CO2 emissions in the US. The benchmark is Cap-and-Trade, a market-based mechanism that has long been considered the optimal approach to reducing emissions at least cost. Cap-and-Trade is not currently being considered in policy circles due to a variety of factors, but the underlying issue of CO2 emissions reduction is still under active investigation. Alternatives to Cap-and-Trade analyzed here include a...

2011-12-30T23:59:59.000Z

404

Predicting market power in wholesale electricity markets  

E-Print Network (OSTI)

in California and more recently in the EU Sector Inquiry. The paper investigates its value in identifying the ability of ?rms to raise prices in an electricity market with contracts and capacity constraints and ?nd that it is most useful for the case of a single... positive number. Estimates for the value of the short-run demand elasticity for electricity are quite low, and over periods of months possibly below 0:25 for the ?domestic and other industry? sector, judging by the response to extraordinarily sharp price...

Newbery, David

405

Principle-agent Incentives, Excess Caution, and Market Inefficiency: Evidence from Utility Regulation  

E-Print Network (OSTI)

distort forward natural gas markets when demand is expecteda model of supply and demand in natural gas markets in whichof Mexico. The demand centers for natural gas, however, are

Borenstein, Severin; Busse, Meghan; Kellog, Ryan

2007-01-01T23:59:59.000Z

406

Principal-agent incentives, excess caution, and market inefficiency: Evidence from utility regulation  

E-Print Network (OSTI)

distort forward natural gas markets when demand is expecteda model of supply and demand in natural gas markets in whichof Mexico. The demand centers for natural gas, however, are

Borenstein, Severin; Busse, Meghan; KELLOGG, RYAN M

2007-01-01T23:59:59.000Z

407

Market assessment of fuel cell total energy systems summary report  

DOE Green Energy (OSTI)

An investigation of the potential market penetration of fuel cell total energy systems (FCTES) into the nonindustrial, single building market is summarized. Nine building types, two types of construction, and the ten Department of Energy (DOE) regions were used to model the market for the time period 1985--2000. Input data developed for the penetration model included size distributions of each building type and performance and cost characteristics of FCTES and competing conventional systems. Two fuel cell systems, fuel cell - heat pump and fuel cell - central boiler and chiller, were assumed to compete with two conventional systems, electric heat pump and central chiller-boiler models. Two fuel cell supply situations were considered: (a) one in which only 40 kW(e) modules were available, and (b) one in which a catalog of 25, 40, 100, and 250 kW(e) modules were available. Data characterizing the economic climate, the intended market, and system cost and performance were used to determine the present value of life-cycle costs for each system in each market segment. Two market models were used to estimate FCTES sales. In the first, the perfect market model, FCTES sales were assumed to occur in all segments in which that system had the lowest present-valued costs. In the second, a market diffusion model was used to obtain a more probable (and lower) sales estimate than that of the perfect market model. Results are presented as FCTES sales for each market segment by FCTES module size and the effect on primary energy use by fuel type.

Mixon, W.R.; Christian, J.E.; Jackson, W.L.; Pine, G.D.; Hagler, H.; Shanker, R.; Koppelman, L.; Greenstein, D.

1979-03-01T23:59:59.000Z

408

Adaptive and statistical expectations in a renewable resource market  

Science Conference Proceedings (OSTI)

Rational expectations models have increasingly been replaced by models with various forms of learning. This paper studies the global dynamics of a model of renewable resource markets due to Hommes and Rosser [Macroecon. Dyn. 5 (2001) 180] under adaptive ... Keywords: adaptive models, complex basins, fishery models, global bifurcations, statistical learning

Ilaria Foroni; Laura Gardini; J. Barkley Rosser, Jr.

2003-11-01T23:59:59.000Z

409

Uranium Marketing Annual Report  

Gasoline and Diesel Fuel Update (EIA)

Uranium Marketing Uranium Marketing Annual Report May 2011 www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. U.S. Energy Information Administration | 2010 Uranium Marketing Annual Report ii Contacts This report was prepared by the staff of the Renewables and Uranium Statistics Team, Office of Electricity, Renewables, and Uranium Statistics. Questions about the preparation and content of this report may be directed to Michele Simmons, Team Leader,

410

Petroleum Marketing Annual 2009  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Annual 2009 Petroleum Marketing Annual 2009 Released: August 6, 2010 Monthly price and volume statistics on crude oil and petroleum products at a national, regional and state level. Notice: Changes to EIA Petroleum Data Program Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Previous Issues --- Previous reports are available on the historical page. Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts HTML PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users HTML PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT Motor Gasoline to End Users HTML Residual Fuel Oil and No. 4 Fuel to End Users HTML Other Petroleum Products to End Users HTML

411

Oil Market Assessment  

Gasoline and Diesel Fuel Update (EIA)

Logo Oil Market Assessment - September Logo Oil Market Assessment - September 12, 2001 EIA Home Page Based on Energy Information Administration (EIA) contacts and trade press reports, overall U.S. and global oil supplies appear to have been minimally impacted by yesterday's terrorist attacks on the World Trade Center and the Pentagon. Rumors of scattered closures of U.S. refineries, pipelines, and terminals were reported, and Louisiana Offshore Oil Port operations were partially suspended. While the NYMEX and New York Harbor were temporarily closed, operations are expected to resume soon. Most, if not all petroleum industry infrastructure is expected to resume normal operations today or in the very near term. Prices at all levels (where markets were open) posted increases yesterday, but many prices fell today, as initial reactions

412

2013 Propane Market Outlook  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

3 3 Propane Market Outlook Assessment of Key Market Trends, Threats, and Opportunities Facing the Propane Industry Through 2020 P R E S E N T E D B Y : Prepared for the Propane Education & Research Council (PERC) by: ICF International, Inc. 9300 Lee Highway Fairfax, VA 22031 Tel (703) 218-2758 www.icfi.com Principal Authors: Mr. Michael Sloan msloan@icfi.com Mr. Warren Wilczewski wwilczewski@icfi.com Propane Market Outlook at a Glance ¡ Total consumer propane sales declined by more than 17 percent between 2009 and 2012, including 3.3 percent in 2011 and 10 to 12 percent in 2012. The declines in 2011 and 2012 were due primarily to much warmer than normal weather, as well as the impact of higher propane prices and continuing efficiency trends. Sales are expected to rebound in 2013 with a return to more

413

Distributed Wind Market Applications  

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

Distributed Wind Market Distributed Wind Market Applications T. Forsyth and I. Baring-Gould Technical Report NREL/TP-500-39851 November 2007 NREL is operated by Midwest Research Institute â—Ź Battelle Contract No. DE-AC36-99-GO10337 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 Technical Report NREL/TP-500-39851 November 2007 Distributed Wind Market Applications T. Forsyth and I. Baring-Gould Prepared under Task No. WER6.7502 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

414

Petroleum marketing monthly  

SciTech Connect

Petroleum Marketing Monthly (PPM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o. b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

1996-07-01T23:59:59.000Z

415

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

NONE

1996-02-01T23:59:59.000Z

416

Petroleum marketing monthly  

Science Conference Proceedings (OSTI)

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

NONE

1995-08-01T23:59:59.000Z

417

Energy Sector Market Analysis  

SciTech Connect

This paper presents the results of energy market analysis sponsored by the Department of Energy's (DOE) Weatherization and International Program (WIP) within the Office of Energy Efficiency and Renewable Energy (EERE). The analysis was conducted by a team of DOE laboratory experts from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL), and Pacific Northwest National Laboratory (PNNL), with additional input from Lawrence Berkeley National Laboratory (LBNL). The analysis was structured to identify those markets and niches where government can create the biggest impact by informing management decisions in the private and public sectors. The analysis identifies those markets and niches where opportunities exist for increasing energy efficiency and renewable energy use.

Arent, D.; Benioff, R.; Mosey, G.; Bird, L.; Brown, J.; Brown, E.; Vimmerstedt, L.; Aabakken, J.; Parks, K.; Lapsa, M.; Davis, S.; Olszewski, M.; Cox, D.; McElhaney, K.; Hadley, S.; Hostick, D.; Nicholls, A.; McDonald, S.; Holloman, B.

2006-10-01T23:59:59.000Z

418

Time Series Analysis and Forecasting in Stock Market Investments  

E-Print Network (OSTI)

Time Series Analysis and Forecasting in Stock Market Investments Ted Chi-Wei Fung Department and forecasting have been used as methods to help precisely on the task of stock market prediction by using past data. This paper will discuss three different models to create a time series analysis and forecast

Zanibbi, Richard

419

Advances in Volatility Modeling for Energy Markets: Methods for Reproducing Volatility Clustering, Fat Tails, Smiles, and Smirks in Energy Price Forecasts  

Science Conference Proceedings (OSTI)

This report describes research sponsored by the Electric Power Research Institute (EPRI) to develop a new model of energy price volatility. For many years, EPRI has worked with a flexible and tractable volatility model that successfully captures the term "structure of volatility," including the properties commonly referred to as "mean reversion" and "seasonality." However, that model does not capture random volatility, evidenced by volatility clustering, nor does it capture skewness and excess kurtosis i...

2011-12-30T23:59:59.000Z

420

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data.

NONE

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Airline market share modeling in originating city markets  

E-Print Network (OSTI)

The Airline Deregulation Act of 1978 has not only affected the way airlines compete with each other, it has also changed the distribution channels that were once rigidly controlled by the airlines, travel agents and Civil ...

Davis, James E.

1989-01-01T23:59:59.000Z

422

Dynamic Pricing and Learning in Electricity Markets  

Science Conference Proceedings (OSTI)

We analyze the price-formation process in an infinite-horizon oligopoly model where hydroelectric generators engage in dynamic price-based competition. The analysis focuses on the role of "indifference" prices, i.e., prices that equate the gains from ... Keywords: Dynamic auctions, Economics, Games: stochastic, Natural resources: energy, Noncooperative, Restructured electricity markets, Water resources

Alfredo Garcia; Enrique Campos-Nańez; James Reitzes

2005-03-01T23:59:59.000Z

423

DEREGULATION SHOCK IN PRODUCT MARKET AND UNEMPLOYMENT  

E-Print Network (OSTI)

DEREGULATION SHOCK IN PRODUCT MARKET AND UNEMPLOYMENT Luisito BERTINELLI Olivier CARDI Partha SEN://www.economie.polytechnique.edu/ mailto:chantal.poujouly@polytechnique.edu hal-00589228,version1-28Apr2011 #12;DEREGULATION SHOCK [2010] analyze the effect of a deregulation shock within a dynamic general equilibrium model with entry

Paris-Sud XI, Université de

424

A Regional Approach to Market Monitoring in the West  

Science Conference Proceedings (OSTI)

Market monitoring involves the systematic analysis of pricesand behavior in wholesale power markets to determine when and whetherpotentially anti-competitive behavior is occurring. Regional TransmissionOrganizations (RTOs) typically have a market monitoring function. Becausethe West does not have active RTOs outside of California, it does nothave the market monitoring that RTOs have. In addition, because the Westoutside of California does not have RTOs that perform centralized unitcommitment and dispatch, the rich data that are typically available tomarket monitors in RTO markets are not available in the West outside ofCalifornia. This paper examines the feasibility of market monitoring inthe West outside of California given readily available data. We developsimple econometric models of wholesale power prices in the West thatmight be used for market monitoring. In addition, we examine whetherproduction cost simulations that have been developed for long-runplanning might be useful for market monitoring. We find that simpleeconometric models go a long ways towards explaining wholesale powerprices in the West and might be used to identify potentially anomalousprices. In contrast, we find that the simulated prices from a specificset of production cost simulations exhibit characteristics that aresufficiently different from observed prices that we question theirusefulness for explaining price formation in the West and hence theirusefulness as a market monitoring tool.

Barmack, Matthew; Kahn, Edward; Tierney, Susan; Goldman, Charles

2006-10-01T23:59:59.000Z

425

Market Transparency and Forward Contracts: an Application to the Wholesale Market for Natural Gas ?  

E-Print Network (OSTI)

We present a n-firm oligopoly model of strategic behavior in forward and spot markets that incorporates explicitly (i) firm heterogeneity in costs and in aversion to risk, and (ii) the extent to which the forward market is transparent. We show that the equilibrium hedge ratio of a firm is independent of the demand intercept parameter and of the marginal cost of the firm, increases as the firm becomes more risk-averse and as demand volatility goes up, while it decreases as the rival firms become more risk-averse. Moreover, the hedge ratio of a firm decreases as the forward market becomes more transparent and increases as the number of competitors goes up. Using data from the Dutch wholesale market for natural gas where we observe the number of players, spot and forward sales, churn rates and spot prices, we find evidence that strategic reasons play an important role at explaining the observed firms ’ inverse hedge ratios. In order to assess how transparent the market really is, we estimate the model structurally. According to our estimates, the Dutch market for forward natural gas contracts appears to be quite transparent,

Remco Eijkel; José L. Moraga-gonzález

2010-01-01T23:59:59.000Z

426

Market power in electricity markets: Beyond concentration measures  

SciTech Connect

The wave of electricity market restructuring both within the US and abroad has brought the issue of horizontal market power to the forefront of energy policy. Traditionally, estimation and prediction of market power has relied heavily on concentration measures. In this paper, the authors discuss the weaknesses of concentration measures as a viable measure of market power in the electricity industry, and they propose an alternative method based on market simulations that take advantage of existing plant level data. The authors discuss results from previous studies they have performed, and present new results that allow for the detection of threshold demand levels where market power is likely to be a problem. In addition, the authors analyze the impact of that recent divestitures in the California electricity market will have on estimated market power. They close with a discussion of the policy implications of the results.

Borenstein, S.; Bushnell, J.; Knittel, C.R.

1999-07-01T23:59:59.000Z

427

Market structure and the price of electricity: An ex ante analysis of the deregulated Swedish electricity market  

Science Conference Proceedings (OSTI)

Following new legislation the Swedish electricity market is about to be deregulated. The new system is designed to ensure competition in production and supply. The main motive for deregulation is to increase competition and thus achieve lower market prices. A possible threat to this outcome is the high degree of concentration on the seller side that characterizes the Swedish electricity market. In this paper we show that given the current structure of firms on the supply side, deregulation is not a sufficient condition for lower equilibrium prices in the electricity market. We use a numerical model to explore the quantitative relation between the Cournot-equilibrium price, the number of firms, and the size distribution of firms in the Swedish electricity market. We compute equilibrium electricity prices and a welfare measure in order to quantify the effect of asymmetric market concentration on competition. 3 refs., 1 fig., 6 tabs.

Andersson, B.; Bergman, L. [Stockholm School of Economics (Sweden)

1995-12-31T23:59:59.000Z

428

Quantum Dating Market  

E-Print Network (OSTI)

We consider the dating market decision problem under the quantum mechanics point of view. Quantum states whose associated amplitudes are modified by men strategies are used to represent women. Grover quantum search algorithm is used as a playing strategy. Success is more frequently obtained by playing quantum than playing classic.

O. G. Zabaleta; C. M. Arizmendi

2010-03-04T23:59:59.000Z

429

Marketing Portfolio Bryan Huang  

E-Print Network (OSTI)

ranging from emails to phone numbers, which will reinforce trust with our customers. 3. Marketing.)......................................................................................................9 #12;3 BRYAN HUANG [Home address street number and name], [City], [St], [Zip code] [Phone number #12;4 BRYAN HUANG [Home address street number and name], [City], [St], [Zip code] [Phone number] [E

de Lijser, Peter

430

European battery market  

SciTech Connect

The electric battery industry in Europe is discussed. As in any other part of the world, battery activity in Europe is dependent on people, prosperity, car numbers, and vehicle design. The European battery industry is discussed from the following viewpoints: battery performance, car design, battery production, marketing of batteries, battery life, and technology changes.

1984-02-01T23:59:59.000Z

431

Energy Analysis Models, Tools and Software Technologies - Energy ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you’ll find marketing summaries of energy analysis models, tools, and software ...

432

DOE Hydrogen Analysis Repository: MetaNET Model  

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

of demands, resources, and market modules that has primarily been used for long term electricity market equilibrium modeling. METANET is a perfect foresight model and assumes...

433

TRANSMISSION EFFECTS IN MARKET POWER ANALYSIS OF ELECTRICITY MARKETS  

E-Print Network (OSTI)

TRANSMISSION EFFECTS IN MARKET POWER ANALYSIS OF ELECTRICITY MARKETS Thomas J. Overbye George Gross, congestion, merger analysis, PTDF 1. INTRODUCTION The electric power industry throughout the world of the impact that the electrical transmission system has on the analysis market power opportunities

Gross, George

434

Segmentation of the car market in China.  

E-Print Network (OSTI)

?? The Chinese car market has, through the last decade evolved into the major market in the world. Its car market from has become the… (more)

Syed, Imran Ahmed

2013-01-01T23:59:59.000Z

435

How Predictable Is The Chinese Stock Market?.  

E-Print Network (OSTI)

?? We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios… (more)

Jiang, Fuwei

2011-01-01T23:59:59.000Z

436

Market Damages and the Economic Waste Fallacy  

E-Print Network (OSTI)

Robert E. Scott, The Case for Market Damages; Revisiting thethey pay less than full market damages but when buyerssellers recover full market damages. As a consequence,

Scott, Robert E.; Schwartz, Alan

2008-01-01T23:59:59.000Z

437

Oils and Fats World Market Update 2011  

Science Conference Proceedings (OSTI)

Archive of the Oils and Fats World Market Update 2011 Oils and Fats World Market Update 2011 Izmir, Turkey Oils and Fats World Market Update 2011 ...

438

Trading and Prices in Commodity Markets  

U.S. Energy Information Administration (EIA)

Trading and Prices in Commodity Markets EIA 2013 Workshop on Financial and Physical Oil Market Linkages ... Director of Energy Markets and Financial Analysis

439

Energy Efficiency in Regulated and Deregulated Markets  

E-Print Network (OSTI)

into other clean energy markets. The issue of doubleet al. , Energy Efficiency Policy and Market Failures, 20impede the functioning of markets, energy efficiency will be

Rotenberg, Edan

2005-01-01T23:59:59.000Z

440

Essays on Asymmetric Information in Financial Markets  

E-Print Network (OSTI)

L. L. , 2006a, “Information markets and the comovement ofboth clear the market and convey information (but not beA monopolistic market for information,” Journal of Economic

Breon-Drish, Bradyn Mitchel

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" 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

Rational Transparency Choice in Financial Market Equilibrium¤  

E-Print Network (OSTI)

of all relevant market information. This is the case ofin a ?nancial market context, information turns into a2. Section 3 derives the information market equilibrium and

Muendler, Marc-Andreas

2005-01-01T23:59:59.000Z

442

The Information Efficiency of Market Prices  

E-Print Network (OSTI)

aggregation of information in competitive markets, Journalstock markets where trades have diverse information, JournalTHE INFORMATION EFFICIENCY OF MARKET PRICES July 1985 by

Bossaerts, Peter

1985-01-01T23:59:59.000Z

443

Rational Information Choice in Financial Market Equilibrium  

E-Print Network (OSTI)

of all relevant market information. This is the case ofunder what market conditions information acquisition occurs2 (1 + ?) 2 > 0. x Information Market Equilibrium in the Ab-

Muendler, Marc-Andreas

2005-01-01T23:59:59.000Z

444

Oils and Fats World Market Update 2013  

Science Conference Proceedings (OSTI)

Archive of AOCS Oils and Fats World Market Update 2013 Oils and Fats World Market Update 2013 Kiev, Ukraine Oils and Fats World Market Update 2013 ...

445

Export.gov - Market Research Index  

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

Market Research Print | E-mail Page Market Research Market Research Home Learn to Benefit from FTAs Webcasts on Exporting Country & Industry Webinars Order Custom Research Other...

446

Building Energy Software Tools Directory: MarketManager  

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

MarketManager MarketManager MarketManager logo. Models any type of commercial, institutional, industrial, and residential facility and determines the energy and cost impact of virtually any type of energy conservation measure or utility rate schedule. MarketManager calculates the operating costs of any piece of equipment in the facility and determines the cost-effectiveness of improving the building envelope, HVAC controls, motors, lighting systems, heating and cooling equipment. Screen Shots Keywords building energy modeling, design, retrofit Validation/Testing N/A. Expertise Required MarketManager is best used by energy professionals who have a good understanding of HVAC systems.ďż˝ Others have been known to use it. Users Approximately 1000 users worldwide, mostly in the United States.

447

DOE Solar Decathlon: Market Appeal  

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

Market Appeal Each U.S. Department of Energy Solar Decathlon team builds its house for a target client of its choosing. The Market Appeal Jury, which is composed of professionals...

448

2008 Solar Technologies Market Report  

E-Print Network (OSTI)

Looking back—sizing the 2008 solar market. ” pp. 88–93.Iberdrola launches its first solar thermal power plant. ”Analysis of a future solar market, management summary. Bonn,

Price, S.

2010-01-01T23:59:59.000Z

449

Mining Conveyor Systems Marketing Kit  

Science Conference Proceedings (OSTI)

These conveyor-systems marketing guidelines are aimed at utility sales and marketing personnel who wish to call on customers who currently mine various minerals, but have limited expertise in the use of conveyor systems.

1999-10-19T23:59:59.000Z

450

Aging and the labor market  

E-Print Network (OSTI)

This thesis is a collection of three essays analyzing the interplay between aging and the labor market. The first chapter demonstrates that differential treatment by age exists in labor markets and explores different ...

Lahey, Joanna

2005-01-01T23:59:59.000Z

451

Solar market studies: review and comment  

DOE Green Energy (OSTI)

This report summarizes and comments on relevant solar energy market surveys and related studies to provide a basis for determining areas requiring additional research and possible policies and actions to aid in rapid adoption of solar technologies. Thirty-two studies are discussed. The first 19 studies directly assess the market for residential use of solar domestic hot water, space, and pool heating. Studies 20 and 21 inspect energy conservation surveys. Studies 22 and 23 examine the financial incentives and financial institutions in the expanding solar market. Study 24 considers energy and low-income people. Studies 25 and 26 assess market sizes for photovoltaic systems and wind machines. Studies 27 to 30 are not surveys per se, but represent secondary source and modeling efforts to gain understanding of the solar marketplace. Studies 31 and 32 present the Canadian perspective on the market feasibility of solar energy systems. Many of the studies contained flaws of concept and/or method to a degree that would bring into question the credibility of individual findings but, taken as an aggregrate, they provide a useful compendium of opinion about present and potential solar energy users.

Vories, R; Strong, H

1980-05-01T23:59:59.000Z

452

Brookhaven National Laboratory Technology Marketing ...  

Brookhaven National Laboratory Technology Marketing ... a critical reaction in a number of growing energy generation and utilization ... Energy Analys ...

453

Market Incentives to Improve Cybersecurity  

Science Conference Proceedings (OSTI)

Page 1. Market Incentives to Improve Cybersecurity Herb Lin ... threaten critical societal functions. • Regulation that imposes best practices on system ...

2011-07-20T23:59:59.000Z

454

2011 Wind Technologies Market Report  

E-Print Network (OSTI)

energy technology. 2011 Wind Technologies Market Report Appendix: Sources of Data Presented in this Report Installation Trends

Bolinger, Mark

2013-01-01T23:59:59.000Z

455

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

energy technology. 2010 Wind Technologies Market Report Appendix: Sources of Data Presented in this Report Installation Trends

Wiser, Ryan

2012-01-01T23:59:59.000Z

456

Market potential for electrolytic hydrogen  

SciTech Connect

By the year 2000, the potential market for advanced-technology electrolytic hydrogen among specialty users is projected to be about half of what the merchant hydrogen market would be in the absence of electrolytic hydrogen. This potential market, representing an annual demand of about 16 billion SCF of hydrogen, will develop from market penetrations of electrolyzers assumed to begin in the early 1980s. 6 refs.

Fein, E.

1981-01-01T23:59:59.000Z

457

STEMS Demo Software, Version 1.5: Short-Term Electricity Market Simulator Demo  

Science Conference Proceedings (OSTI)

The Short-Term Electricity Market Simulator (STEMS) Demo software version 1.5 allows the user to study the realistic behavior of a short-term electricity market using a detailed model of the power system and realistic bidding and market clearing mechanisms to emulate the behavior of various market designs, including the FERC Standard Market Design and the California MD02 design. The STEMS Demo software version 1.5 allows the user to study a short-term electricity market. It combines the functionality of ...

2003-12-23T23:59:59.000Z

458

Econophysics of adaptive power markets: When a market does not dampen fluctuations but amplifies them  

E-Print Network (OSTI)

The average economic agent is often used to model the dynamics of simple markets, based on the assumption that the dynamics of many agents can be averaged over in time and space. A popular idea that is based on this seemingly intuitive notion is to dampen electric power fluctuations from fluctuating sources (as e.g. wind or solar) via a market mechanism, namely by variable power prices that adapt demand to supply. The standard model of an average economic agent predicts that fluctuations are reduced by such an adaptive pricing mechanism. However, the underlying assumption that the actions of all agents average out on the time axis is not always true in a market of many agents. We numerically study an econophysics agent model of an adaptive power market that does not assume averaging a priori. We find that when agents are exposed to source noise via correlated price fluctuations (as adaptive pricing schemes suggest), the market may amplify those fluctuations. In particular, small price changes may translate to...

Krause, Sebastian M; Bornholdt, Stefan

2013-01-01T23:59:59.000Z

459

Rational Herding in Microloan Markets  

Science Conference Proceedings (OSTI)

Microloan markets allow individual borrowers to raise funding from multiple individual lenders. We use a unique panel data set that tracks the funding dynamics of borrower listings on Prosper.com, the largest microloan market in the United States. We ... Keywords: Bayesian inference, Prosper.com, microloan markets, observational learning, peer-to-peer lending, rational herding

Juanjuan Zhang; Peng Liu

2012-05-01T23:59:59.000Z

460

TEACHING PLAN FOR BUSINESS MARKETING  

E-Print Network (OSTI)

and demographic trends. Technological evolution 1 30 Work on Marketing Plan: Macroenvironment 2 30 8 Session 6 on Marketing Plan: Macroenvironment 2 30 9 Seminar 3 Friday 28 January Case preparation 1 30 Case study: Textiles Garcia 55 Work on Marketing Plan: Macroenvironment 2 30 #12;Class preparation T Activity in class

Catalonia, Technical University of

Note: This page contains sample records for the topic "ma3t model market" 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

Housing tenure and labor market impacts: The search goes on  

E-Print Network (OSTI)

We develop two search-theoretic models emphasizing firm entry to examine the Oswald hypothesis, the idea that homeownership is linked to inferior labor market outcomes, and compare their predictions to three extant theories. ...

Coulson, N. Edward

462

Targeting in Advertising Markets: Implications for Offline Versus Online Media  

E-Print Network (OSTI)

We develop a model with many advertisers (products) and many advertising markets (media). Each advertiser sells to a different segment of consumers, and each medium is targeting a different audience. We characterize the ...

Bergemann, Dirk

463

Quantifying Social Influence in an Online Cultural Market  

E-Print Network (OSTI)

We revisit experimental data from an online cultural market in which 14,000 users interact to download songs, and develop a simple model that can explain seemingly complex outcomes. Our results suggest that individual ...

Krumme, Katherine Ann

464

How Power Marketing Administrations Market Power and Work with Tribes  

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

How Power Marketing Administrations Market Power and Work with How Power Marketing Administrations Market Power and Work with Tribes Webinar How Power Marketing Administrations Market Power and Work with Tribes Webinar April 24, 2013 11:00AM MDT Webinar The U.S. Department of Energy (DOE) Office of Indian Energy Policy and Programs, Office of Energy Efficiency and Renewable Energy Tribal Energy Program, and Western Area Power Administration (WAPA) are pleased to continue their sponsorship of the Tribal Renewable Energy Webinar Series. The country's federal Power Marketing Administrations (PMAs) have valuable generation and transmission assets and have the potential to promote renewable energy development within their respective footprints. Get information on PMA assets and operations, examples of past cooperation with Tribes, and how to work with PMAs to promote future economic growth

465

Comparing Prediction Market Structures, With an Application to Market Making  

E-Print Network (OSTI)

Ensuring sufficient liquidity is one of the key challenges for designers of prediction markets. Various market making algorithms have been proposed in the literature and deployed in practice, but there has been little effort to evaluate their benefits and disadvantages in a systematic manner. We introduce a novel experimental design for comparing market structures in live trading that ensures fair comparison between two different microstructures with the same trading population. Participants trade on outcomes related to a two-dimensional random walk that they observe on their computer screens. They can simultaneously trade in two markets, corresponding to the independent horizontal and vertical random walks. We use this experimental design to compare the popular inventory-based logarithmic market scoring rule (LMSR) market maker and a new information based Bayesian market maker (BMM). Our experiments reveal that BMM can offer significant benefits in terms of price stability and expected loss when controlling ...

Brahma, Aseem; Magdon-Ismail, Malik

2010-01-01T23:59:59.000Z

466

Noise Traders, Market Sentiment, and Futures Price Behavior by  

E-Print Network (OSTI)

The noise trader sentiment model of De Long, Shleifer, Summers, and Waldmann (1990a) is applied to futures markets. The theoretical results predict that overly optimistic (pessimistic) noise traders result in market prices that are greater (less) than fundamental value. Thus, returns can be predicted using the level of noise trader sentiment. The null rational expectations hypothesis is tested against the noise trader alternative using a commercial market sentiment index as a proxy for noise trader sentiment. Fama-MacBeth cross-sectional regressions test if noise traders create a systematic bias in futures prices. The time-series predictability of futures returns using known sentiment levels is tested in a Cumby-Modest market timing framework and a more general causality specification. The empirical results lead to the following conclusions. First, there is no evidence that noise trader sentiment creates a systematic bias in futures prices. Second, predictable market returns using noise trader sentiment is not characteristic of futures markets in general. Third, futures market returns at weekly intervals are characterized by low-order positive autocorrelation with relatively small autoregressive parameters. In those instances where there is evidence of noise trader effects, it is at best limited to isolated markets and particular specifications. Noise Traders, Market Sentiment, and Futures Price Behavior

Dwight R. S; Scott H. Irwin; Raymond M. Leuthold; Dwight R. S; Ers Is Manager

1997-01-01T23:59:59.000Z

467

An agent-based decision support system for wholesale electricity market  

Science Conference Proceedings (OSTI)

Application software has been developed for analyzing and understanding a dynamic price change in the US wholesale power market. Traders can use the software as an effective decision-making tool by modeling and simulating a power market. The software ... Keywords: Agent-based approach, Decision support software, Electricity market, Machine learning

Toshiyuki Sueyoshi; Gopalakrishna R. Tadiparthi

2008-01-01T23:59:59.000Z

468

Design and implementation of a decision support system for competitive electricity markets  

Science Conference Proceedings (OSTI)

In this paper we describe software which could be used as a decision support tool for decision makers in competitive electricity markets. The tool is based on the behavior of the competitors in the market, thus many different parameters around them are ... Keywords: Competitive electricity markets, Simulation model, Spot prices

Julia Sancho; Joaquín Sánchez-Soriano; Juan Antonio Chazarra; Juan Aparicio

2008-03-01T23:59:59.000Z

469

Exploring Marketing Orientation Influences on Internet Adoption in the U.S. Lumber Industry  

E-Print Network (OSTI)

Exploring Marketing Orientation Influences on Internet Adoption in the U.S. Lumber Industry Kofi. Specifically, we focus on the question "Does a high marketing orientation have a positive effect and tested a model that examines the mediating influence of marketing orientation across a number

470

Cumulative strategic capability and performance of early movers and followers in the cyber market  

Science Conference Proceedings (OSTI)

Today, the cyber market is evolving rapidly in the networked age. In the cyber market, the traditional competitive strategy appears to no longer be effective. This study investigates the strategic choice differences of online firms based on their strategic ... Keywords: Cyber market, Early mover, Follower, Porter's generic strategies, Sand Cone model

Sang-Gun Lee; Chulmo Koo; Kichan Nam

2010-06-01T23:59:59.000Z

471

Agent-based simulation of electricity markets: a survey of tools  

Science Conference Proceedings (OSTI)

Agent-based simulation has been a popular technique in modeling and analyzing electricity markets in recent years. The main objective of this paper is to study existing agent-based simulation packages for electricity markets. We first provide an overview ... Keywords: Adaptation, Agent-based simulation, Artificial life, Electricity market, Swarm intelligence

Zhi Zhou; Wai Kin Chan; Joe H. Chow

2007-12-01T23:59:59.000Z

472

Support vector regression with chaos-based firefly algorithm for stock market price forecasting  

Science Conference Proceedings (OSTI)

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box-Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market ... Keywords: Chaotic mapping, Firefly algorithm, Stock market price forecasting, Support vector regression

Ahmad Kazem; Ebrahim Sharifi; Farookh Khadeer Hussain; Morteza Saberi; Omar Khadeer Hussain

2013-02-01T23:59:59.000Z

473

Do Innovations Really Pay Off? Total Stock Market Returns to Innovation  

Science Conference Proceedings (OSTI)

Critics often decry an earnings-focused short-term orientation of management that eschews spending on risky, long-term projects such as innovation to boost a firm's stock price. Such critics assume that stock markets react positively to announcements ... Keywords: Fama-French 3-factor model, event study, high-tech marketing, innovation, market returns

Ashish Sood; Gerard J. Tellis

2009-05-01T23:59:59.000Z

474

The Smart Grid, Entry, and Imperfect Competition in Electricity Markets  

E-Print Network (OSTI)

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. The Smart Grid is a set of emerging technologies that will facilitate "real-time pricing " for electricity and increase price elasticity of demand. This paper simulates the e¤ects of this increased demand elasticity using counterfactual simulations in a structural model of the Pennsylvania-Jersey-Maryland electricity market. The model includes a di¤erent approach to the problem of multiple equilibria in multi-unit auctions: I nonparametrically estimate unobservables that rationalize past bidding behavior and use learning algorithms to move from the observed equilibrium counterfactual bid functions. This routine is nested as the second stage of a static entry game that models the Capacity Market, an important element of market design in some restructured electricity markets. There are three central results. First, I …nd that an increase in demand elasticity could actually increase wholesale electricity prices in peak hours, contrary to predictions from short run models, while decreasing Capacity Market prices and total entry. Second, although the increased demand elasticity from the Smart Grid reduces producers’market power, in practice

Hunt Allcott

2010-01-01T23:59:59.000Z

475

Petroleum Marketing Annual 1997  

Gasoline and Diesel Fuel Update (EIA)

7 7 Entire . The entire report as a single file. PDF 1.2MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT

476

Mass Market Demand Response  

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

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

477

Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 135 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, esters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Administration for

478

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

5 5 Entire . The entire report as a single file. PDF 2.9MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF 2 U.S. Refiner Prices of Petroleum Products to End Users PDF 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF 4 U.S. Refiner Prices of Petroleum Products for Resale PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF

479

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

6 6 Entire . The entire report as a single file. PDF 2.9MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF 2 U.S. Refiner Prices of Petroleum Products to End Users PDF 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF 4 U.S. Refiner Prices of Petroleum Products for Resale PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF

480

Petroleum marketing annual 1993  

SciTech Connect

The Petroleum Marketing Annual (PMA) contains statistical data on a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the free-on-board (f.o.b.) and landed cost of imported crude oil, and the refiners acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented. For this publication, all estimates have been recalculated since their earlier publication in the Petroleum Marketing Monthly (PMM). These calculations made use of additional data and corrections that were received after the PMM publication dates.

1995-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ma3t model market" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Marketing Strategy Research  

SciTech Connect

This report documents the research that has been undertaken as background for preparation of a marketing campaign for middle and high school students to increase interest in national security careers at the National Nuclear Security Administration. This work is a part of the National Security Preparedness Project (NSPP), being performed under a Department of Energy (DOE)/National Nuclear Security Administration (NNSA) grant. Previous research on the development of a properly trained and skilled national security workforce has identified a lack of interest by k-12 students in the STEM (Science, Technology, Engineering, and Mathematics) fields. Further, participation in these careers by women and minority populations is limited and is not increasing. Added to this are low educational achievement levels in New Mexico, where the marketing campaign will be deployed.

None

2010-03-31T23:59:59.000Z

482

Distributed Wind Market Applications  

SciTech Connect

Distributed wind energy systems provide clean, renewable power for on-site use and help relieve pressure on the power grid while providing jobs and contributing to energy security for homes, farms, schools, factories, private and public facilities, distribution utilities, and remote locations. America pioneered small wind technology in the 1920s, and it is the only renewable energy industry segment that the United States still dominates in technology, manufacturing, and world market share. The series of analyses covered by this report were conducted to assess some of the most likely ways that advanced wind turbines could be utilized apart from large, central station power systems. Each chapter represents a final report on specific market segments written by leading experts in this field. As such, this document does not speak with one voice but rather a compendium of different perspectives, which are documented from a variety of people in the U.S. distributed wind field.

Forsyth, T.; Baring-Gould, I.

2007-11-01T23:59:59.000Z

483

Endogenous Market Turbulence  

E-Print Network (OSTI)

. 2006. “Can feedback traders rock the markets? A logistic tale of persistence and chaos”, CERF Working Paper 26, Cambridge University. 19 50 100 150 200 250 300 350 400 450 500-5 -4 -3 -2 -1 0 1 2 3 4 5 x 10 -8 50 100 150 200 250 300 350 400 450 5000 0... (lambdat) RETURN DYNAMICS: MARKET STRESS (theta=0.5, sigma=0.10) 50 100 150 200 250 300 350 400 450 5000 1 2 3 4 x 10 -8 50 100 150 200 250 300 350 400 450 5000 0.5 1 1.5 2 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.30 0.05 0.1 0.15 0.2 0.25 0.3 0.35 Iterated returns (xij...

Tambakis, Demosthenes N

484

Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 137 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Administration for

485

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

9 9 Entire . The entire report as a single file. PDF 1.2MB . Front Matter . Petroleum Marketing Annual Cover Page, Preface, and Table of Contents PDF . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT

486

Marketing Strategy and Implementation  

Science Conference Proceedings (OSTI)

This report documents the preparation of materials for the marketing campaign that has been designed for middle and high school students in New Mexico to increase interest in participation in national security careers at the National Nuclear Security Administration. The materials and the marketing campaign build on the research that was previously completed, as well as the focus groups that were conducted. This work is a part of the National Nuclear Security Preparedness Project (NSPP). Previous research included outcome analysis to determine appropriate marketing strategies. The analysis was based upon focus groups with middle school and high school students, student interactions, and surveys completed by students to understand and gauge student interest in Science, Technology, Engineering, and Math (STEM) subjects, interest in careers at NNSA, future job considerations, and student desire to pursue post-secondary education. Further, through the focus groups, students were asked to attend a presentation on NNSA job opportunities and employee requirements. The feedback received from the students was utilized to develop the focus and components of a marketing campaign divided into DISCO (Discovering Intelligence and Security Career Opportunities) for the middle school age group and DISCO…..Your Way! for high school age groups. Both campaigns have an intertwined message that focuses on the education of students in the various national security career opportunities at NNSA using the STEM concepts and the notion that almost any career they can think of has a fit within NNSA. Further, a special emphasis has been placed on the importance of obtaining a national security clearance when working at NNSA and the steps that will need to be taken during middle school, high school, and college to be allowed this opportunity.

None

2010-09-30T23:59:59.000Z

487

A rigged market  

SciTech Connect

The mobile rig market remains a unique sector of the global upstream oil and gas industry. Big oil is continuing to emerge blinking from the darkness of its recent cash-starved existence to bask in the glory of a resurgent oil price. But the rig sector is once again lagging behind the pace being set by operators as they open up their wallets for new or delayed exploration and production projects. This paper gives statistics on worldwide count and contracts.

Thomas, M.

2000-02-01T23:59:59.000Z

488

The effect of falling market concentration on prices, generator behaviour and productive efficiency in the England and Wales electricity market  

E-Print Network (OSTI)

A universal prediction of the various oligopoly models used to predict and explain behaviour in the England and Wales (E&W) electricity wholesale market is that divestiture of plants by the two large incumbent generators ...

Sweeting, Andrew

2001-01-01T23:59:59.000Z

489

Petroleum Marketing Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Monthly Archives Petroleum Marketing Monthly Archives Choose the year of the Petroleum Marketing Monthly you wish to view. + EXPAND ALL 2014-2015 2014 2015 Data ending January 10/2013 2012-2013 2012 2013 Data ending January 10/2011 January 10/2012 February 11/2011 February 11/2012 March 12/2011 March 12/2012 April 1/2012 April 1/2013 May 2/2012 May 2/2013 June 3/2012 June 3/2013 July 4/2012 July 4/2013 August 5/2012 August 5/2013 September 6/2012 September 6/2013 October 7/2012 October 7/2013 November 8/2012 November 8/2013 December 9/2012 December 9/2013 2010 - 2011 2010 2011 Data ending Data ending January 10/2009 January 10/2010 February 11/2009 February 11/2010 March 12/2009 March 12/2010 April 1/2010 April 1/2011 May 2/2010 May 2/2011

490

Fuel cell market applications  

DOE Green Energy (OSTI)

This is a review of the US (and international) fuel cell development for the stationary power generation market. Besides DOE, GRI, and EPRI sponsorship, the US fuel cell program has over 40% cost-sharing from the private sector. Support is provided by user groups with over 75 utility and other end-user members. Objectives are to develop and demonstrate cost-effective fuel cell power generation which can initially be commercialized into various market applications using natural gas fuel by the year 2000. Types of fuel cells being developed include PAFC (phosphoric acid), MCFC (molten carbonate), and SOFC (solid oxide); status of each is reported. Potential international applications are reviewed also. Fuel cells are viewed as a force in dispersed power generation, distributed power, cogeneration, and deregulated industry. Specific fuel cell attributes are discussed: Fuel cells promise to be one of the most reliable power sources; they are now being used in critical uninterruptible power systems. They need hydrogen which can be generated internally from natural gas, coal gas, methanol landfill gas, or other fuels containing hydrocarbons. Finally, fuel cell development and market applications in Japan are reviewed briefly.

Williams, M.C.

1995-12-31T23:59:59.000Z

491

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

492

Price Discovery in the Natural Gas Markets of the United States and Canada  

E-Print Network (OSTI)

The dynamics of the U.S. and Canada natural gas spot markets are evolving through deregulation policies and technological advances. Economic theory suggests that these markets will be integrated. The key question is the extent of integration among the markets. This thesis characterizes the degree of dynamic integration among 11 major natural gas markets, six from the U.S. and five from Canada, and determines each individual markets’ role in price discovery. This is the first study to include numerous Canadian markets in a North American natural gas market study. Causal flows modeling using directed acyclic graphs in conjunction with time series analysis are used to explain the relationships among the markets. Daily gas price data from 1994 to 2009 are used. The 11 natural gas market prices are tied together with nine long-run co-integrating relationships. All markets are included in the co-integration space, providing evidence the markets are integrated. Results show the degree of integration varies by region. Further results indicate no clear price leader exists among the 11 markets. Dawn market is exogenous in contemporaneous time, while Sumas market is an information sink. Henry Hub plays a significant role in the price discovery of markets in the U.S. Midwest and Northeast, but little to markets in the west. The uncertainty of a markets’ price depends primarily on markets located in nearby regions. Policy makers may use information on market integration for important policy matters in efforts of attaining efficiency. Gas traders benefit from knowing the price discovery relationships.

Olsen, Kyle

2010-12-01T23:59:59.000Z

493

International Standards and Innovation: Opening Markets for ...  

Science Conference Proceedings (OSTI)

... improved market access for US manufacturers in key foreign markets; enhanced competitiveness of US manufacturers resulting from the lowering ...

2010-10-05T23:59:59.000Z

494

Fermi National Accelerator Laboratory Technology Marketing ...  

Fermi National Accelerator Laboratory Technology Marketing Summaries. Here you’ll find marketing summaries for technologies available for licensing ...

495

National Renewable Energy Laboratory Technology Marketing ...  

National Renewable Energy Laboratory Technology Marketing Summaries. Here you’ll find marketing summaries for technologies available for licensing ...

496

Market Analyses | Department of Energy  

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

Market Analyses Market Analyses Market Analyses November 1, 2013 - 11:40am Addthis Need information on the market potential for combined heat and power (CHP) in the U.S.? These assessments and analyses cover a wide range of markets including commercial and institutional buildings and facilities, district energy, and industrial sites. The market potential for CHP at federal sites and in selected states/regions is also examined. Commercial CHP and Bioenergy Systems for Landfills and Wastewater Treatment Plants Part I, 17 pp and Part II, 28 pp, Nov. 2007 Cooling, Heating, and Power for Commercial Buildings: Benefits Analysis, 310 pp, April 2002 Engine Driven Combined Heat and Power: Arrow Linen Supply, 21 pp, Dec. 2008 Integrated Energy Systems for Buildings: A Market Assessment, 77 pp,

497

2012 Reliability & Markets Peer Review | Department of Energy  

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

Reliability & Markets Peer Review Reliability & Markets Peer Review 2012 Reliability & Markets Peer Review The Transmission Reliability R&D Reliability & Markets Peer Review included 11 presentations over 2 days on August 7 - 8, 2012 at Cornell University in Ithaca, NY. Presentations and summaries are available through the links and the agenda is included below. Summaries | Full Presentations Day 1: August 7 Transmission Investment Assessment Under Uncertainty About Fuel Prices, Technology, Renewables Penetration and Market Responses Using a Multi-State Stochastic Model Approach with Recourse Renewable Integration Through Risk-Limiting Dispatch and Distributed Resource Aggregations Development and Testing of New Tools Commercialization of the SuperOPF Framework: Phase 2 Essence of Structure Preserving (ESP) Network Reductions for

498

The role of vibrant retail electricity markets in assuring that wholesale power markets operate effectively  

SciTech Connect

Barriers to competitive supplier entry such as California's wholesale-price pass-through model can provide an almost insurmountable barrier to effective retail competition. The telecommunications, airline, and software industries provide lessons--positive and negative--on how creating competitive wholesale markets is insufficient to bring the benefits of competition to smaller consumers.

Goulding, A.J.; Rufin, C.; Swinand, G.

1999-12-01T23:59:59.000Z

499

Diagnosing Market Power in California's Deregulated Wholesale Electricity Market  

E-Print Network (OSTI)

Effective competition in wholesale electricity markets is a necessary feature of a successful electricity supply industry restructuring. We examine the degree of competition in the California wholesale electricity market during the period June 1998 to September 1999 by comparing the market prices with estimates of the prices that would have resulted if owners of instate fossil fuel generating facilities behaved as price takers. We find that there were significant departures from competitive pricing and that these departures are most pronounced during the highest demand periods, which tend to occur during the months of July through September. Through most of the winter and spring of 1999 there was little evidence of the exercise of market power. We find a significantly lower amount of market power exercised during summer 1999 than for the same months in summer 1998. Overall, the exercise of market power raised the cost of power purchases by about 16% above the competitive level. Following the p...

Severin Borenstein; Severin Borenstein; James Bushnell; James Bushnell; Frank Wolak; Frank Wolak

2000-01-01T23:59:59.000Z

500

Sales Force Market Information: Antecedents, Processes and Impact on Sales Performance.  

E-Print Network (OSTI)

??The purpose of this study was to conceptualize, measure and analyze a model of relationships of sales force market information processes with sales performance. Further… (more)

Lanis, Thomas William

2004-01-01T23:59:59.000Z