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1

Input--output capital coefficients for energy technologies. [Input-output model  

DOE Green Energy (OSTI)

Input-output capital coefficients are presented for five electric and seven non-electric energy technologies. They describe the durable goods and structures purchases (at a 110 sector level of detail) that are necessary to expand productive capacity in each of twelve energy source sectors. Coefficients are defined in terms of 1967 dollar purchases per 10/sup 6/ Btu of output from new capacity, and original data sources include Battelle Memorial Institute, the Harvard Economic Research Project, The Mitre Corp., and Bechtel Corp. The twelve energy sectors are coal, crude oil and gas, shale oil, methane from coal, solvent refined coal, refined oil products, pipeline gas, coal combined-cycle electric, fossil electric, LWR electric, HTGR electric, and hydroelectric.

Tessmer, R.G. Jr.

1976-12-01T23:59:59.000Z

2

A parallel input-output system for resolving spatial data challenges: an agent-based model case study  

Science Conference Proceedings (OSTI)

With recent advances in data collection technologies such as remote sensing and global positioning systems, the amount of spatial data being produced has been increasing at a staggering rate. Simultaneously, a shift is being experienced in computing ...

Eric Shook; Shaowen Wang

2011-11-01T23:59:59.000Z

3

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network (OSTI)

floating point values. However, to use these system calls you will need to use the mfc1 and mtc1 round down. However, for up to 20% extra credit, you can implement rounding (using the guard, round

Groppi, Christopher

4

STARS: Sign tracking and recognition system using input-output HMMs  

Science Conference Proceedings (OSTI)

STARS is a vision based real time gestural interface that allows both communicative and manipulative 3D hand gestures, which vary in motion and appearance, to control target generic personal computer applications. This input-output HMM based framework ... Keywords: Adaptive threshold model, Gesture spotting, HCI, HCRF, Hand gesture recognition, IOHMM

C. Keskin; L. Akarun

2009-09-01T23:59:59.000Z

5

Application of a Linear Input/Output Model to Tankless Water Heaters  

DOE Green Energy (OSTI)

In this study, the applicability of a linear input/output model to gas-fired, tankless water heaters has been evaluated. This simple model assumes that the relationship between input and output, averaged over both active draw and idle periods, is linear. This approach is being applied to boilers in other studies and offers the potential to make a small number of simple measurements to obtain the model parameters. These parameters can then be used to predict performance under complex load patterns. Both condensing and non-condensing water heaters have been tested under a very wide range of load conditions. It is shown that this approach can be used to reproduce performance metrics, such as the energy factor, and can be used to evaluate the impacts of alternative draw patterns and conditions.

Butcher T.; Schoenbauer, B.

2011-12-31T23:59:59.000Z

6

Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal systems  

E-Print Network (OSTI)

an auxiliary heater supplies the consumers with warm water even in the case of failures. In order to assureQuality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal of standard solar thermal systems usually don't recognise failures affecting the solar yield, because

7

US-CERT Control System Center Input/Output (I/O) Conceputal Design  

Science Conference Proceedings (OSTI)

This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

Not Available

2005-02-01T23:59:59.000Z

8

Dialog system for automatic data input/output and processing with two BESM-6 computers  

Science Conference Proceedings (OSTI)

This paper presents a system for conducting experiments with fully automatic processing of data from multichannel recorders in the dialog mode. The system acquires data at a rate of 2.5 . 10/sup 3/ readings/sec, processes in real time, and outputs digital and graphical material in a multitasking environment.

Belyaev, Y.N.; Gorlov, Y.P.; Makarychev, S.V.; Monakov, A.A.; Shcherbakov, S.A.

1985-09-01T23:59:59.000Z

9

Characterization of nonlinear input-output systems using time series analysis  

Science Conference Proceedings (OSTI)

Data obtained from time series analysis has been used for a number of years for the characterization and response prediction of linear systems. This paper describes a time series technique for the analysis of nonlinear systems through the use of embeddings using delay coordinates or appropriate transformations of delay coordinates (local singular value decomposition or local canonical variate analysis). Local linear approaches are used to characterize the state evolution. Application of the technique is illustrated for a single degree of freedom oscillator with nonlinear stiffness, a mechanical chaos beam, and a climatic data time series. In each application analysis from measured data is emphasized. State rank, lyapunov exponents, and expected iterated prediction errors are quantified. The technique illustrated should be useful in the analysis of many forms of experimental data, especially where the state rank is not excessively large. 8 refs., 6 figs.

Hunter, N.F.; Theiler, J.

1991-01-01T23:59:59.000Z

10

An Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios  

E-Print Network (OSTI)

chains and emission factors for the generation, transmission and distribution portions of the electricityAn Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios Joe Marriott Submitted in Partial Fulfillment of the Requirements

11

Experimental physics and industrial control system (EPICS) input/output controller (IOC) application developer`s guide  

SciTech Connect

This document describes the core software that resides in an Input/Output Controller (IOC), one of the major components of EPICS. The plan of the book is: EPICS overview, IOC test facilities, general purpose features, database locking - scanning - and processing, static database access, runtime database access, database scanning, record and device support, device support library, IOC database configuration, IOC initialization, and database structures. Other than the first chapter this document describes only core IOC software. Thus it does not describe other EPICS tools such as the sequencer. It also does not describe Channel Access, a major IOC component.

Kraimer, M.R.

1994-05-01T23:59:59.000Z

12

Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

Liang Sai [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Zhang, Tianzhu, E-mail: zhangtz@mail.tsinghua.edu.cn [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Xu Yijian [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); China Academy of Urban Planning and Design, Beijing 100037 (China)

2012-03-15T23:59:59.000Z

13

Comparing urban solid waste recycling from the viewpoint of urban metabolism based on physical input-output model: A case of Suzhou in China  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Impacts of solid waste recycling on Suzhou's urban metabolism in 2015 are analyzed. Black-Right-Pointing-Pointer Sludge recycling for biogas is regarded as an accepted method. Black-Right-Pointing-Pointer Technical levels of reusing scrap tires and food wastes should be improved. Black-Right-Pointing-Pointer Other fly ash utilization methods should be exploited. Black-Right-Pointing-Pointer Secondary wastes from reusing food wastes and sludge should be concerned. - Abstract: Investigating impacts of urban solid waste recycling on urban metabolism contributes to sustainable urban solid waste management and urban sustainability. Using a physical input-output model and scenario analysis, urban metabolism of Suzhou in 2015 is predicted and impacts of four categories of solid waste recycling on urban metabolism are illustrated: scrap tire recycling, food waste recycling, fly ash recycling and sludge recycling. Sludge recycling has positive effects on reducing all material flows. Thus, sludge recycling for biogas is regarded as an accepted method. Moreover, technical levels of scrap tire recycling and food waste recycling should be improved to produce positive effects on reducing more material flows. Fly ash recycling for cement production has negative effects on reducing all material flows except solid wastes. Thus, other fly ash utilization methods should be exploited. In addition, the utilization and treatment of secondary wastes from food waste recycling and sludge recycling should be concerned.

Liang Sai, E-mail: liangsai09@gmail.com [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Zhang Tianzhu, E-mail: zhangtz@mail.tsinghua.edu.cn [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China)

2012-01-15T23:59:59.000Z

14

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

15

An Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios  

E-Print Network (OSTI)

the Creative Commons Attribution-NonCommercial-NoDerivs 2.5 License. You are free to copy and distribute-free Future? IGCC and Wind in 2040 80 4.2 Limits of Disaggregation 84 4.3 Research Questions and Contributions Commission Net System Power 24 Table 3: Electricity Mixes for top 10 electricity importers 25 Table 4

16

SWAT 2012 Input/Output Documentation  

E-Print Network (OSTI)

The Soil and Water Assessment Tool (SWAT) is a comprehensive model that requires a diversity of information in order to run. Novice users may feel overwhelmed by the variety and number of inputs when they first begin to use the model. This document provides a full description of model inputs. The inputs are organized by topic and emphasis is given to differentiating required inputs from optional inputs. The first chapter focuses on assisting the user in identifying inputs that must be defined for their particular dataset. The remaining chapters list variables by file and discuss methods used to measure or calculate values for the input parameters. SWAT is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds. Download the SWAT model, or read more information at the SWAT website.

Arnold, J.G.; Kiniry, J.R.; Srinivasan, R.; Williams, J.R.; Haney, E.B.; Neitsch, S.L.

2013-03-04T23:59:59.000Z

17

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

18

Energy conservation and power consumption analysis in China based on input-output method  

Science Conference Proceedings (OSTI)

To achieve the sustainable development of society, the 11th five-year plan of national economic and social development of China raised the energy-saving target of decreasing 20% energy consumption per unit GDP in 2010 than the end of 2005. Based on the ... Keywords: energy intensity, energy-saving, input-output model, power demand

He Yong-Xiu; Zhang Song-Lei; Tao Wei-Jun; Li Fu-Rong

2008-02-01T23:59:59.000Z

19

Analytical input-output and supply chain study of China's coke and steel sectors  

E-Print Network (OSTI)

I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal and coke from a macroeconomic perspective, I apply the ...

Li, Yu, 1976-

2004-01-01T23:59:59.000Z

20

Using Economic Input/Output Tables to Predict a Country’s Nuclear Status  

Science Conference Proceedings (OSTI)

Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nation’s efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a country’s or region’s economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industry’s output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

2010-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Testing alternative transport pricing strategies: A CGE analysis for Belgium 1 Paper to be presented at the Conference on “Input-Output and General Equilibrium: Data, Modeling and Policy Analysis”,  

E-Print Network (OSTI)

The objective of the paper is to compare the effects of two alternative transport pricing rules: average cost and marginal social cost pricing. For both pricing scenarios, two alternative ways of using surpluses or financing deficits of the transport sector are used. The first is to change the marginal labour tax rate, the second way is to vary the level of social transfers. The effects of the scenarios are tested using a computable general equilibrium model for Belgium. The model is also used to analyse whether the changes in the transport accounts caused by a pricing reform are good welfare indicators. 1.

Inge Mayeres; Stef Proost

2004-01-01T23:59:59.000Z

22

Analytical input-output and supply chain study of China's coke and steel sectors; Analytical I/O and supply chain study of China's coke and steel sectors.  

E-Print Network (OSTI)

??I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal… (more)

Li, Yu, 1976-

2004-01-01T23:59:59.000Z

23

ITL Bulletin Guidelines for Protecting Basic Input/Output ...  

Science Conference Proceedings (OSTI)

... The focus is on the key activities that organizations should carry out related to provisioning, deploying, managing, and decommissioning the system ...

2012-04-05T23:59:59.000Z

24

Input-output theory for waveguide QED with an ensemble of inhomogeneous atoms  

E-Print Network (OSTI)

We study the collective effects that emerge in waveguide quantum electrodynamics where several (artificial) atoms are coupled to a one-dimensional (1D) superconducting transmission line. Since single microwave photons can travel without loss for a long distance along the line, real and virtual photons emitted by one atom can be reabsorbed or scattered by a second atom. Depending on the distance between the atoms, this collective effect can lead to super- and subradiance or to a coherent exchange-type interaction between the atoms. Changing the artificial atoms transition frequencies, something which can be easily done with superconducting qubits (two levels artificial atoms), is equivalent to changing the atom-atom separation and thereby opens the possibility to study the characteristics of these collective effects. To study this waveguide quantum electrodynamics system, we extend previous work and present an effective master equation valid for an ensemble of inhomogeneous atoms. Using input-output theory, we compute analytically and numerically the elastic and inelastic scattering and show how these quantities reveal information about collective effects. These theoretical results are compatible with recent experimental results using transmon qubits coupled to a superconducting one-dimensional transmission line [A.F. van Loo {\\it et al.} (2013)].

Kevin Lalumière; Barry C. Sanders; Arjan F. van Loo; Arkady Fedorov; Andreas Wallraff; Alexandre Blais

2013-05-30T23:59:59.000Z

25

Next generation input-output data format for HEP using Google's protocol buffers  

E-Print Network (OSTI)

We propose a data format for Monte Carlo (MC) events, or any structural data, including experimental data, in a compact binary form using variable-size integer encoding as implemented in the Google's Protocol Buffers package. This approach is implemented in the so-called ProMC library which produces smaller file sizes for MC records compared to the existing input-output libraries used in high-energy physics (HEP). Other important features are a separation of abstract data layouts from concrete programming implementations, self-description and random access. Data stored in ProMC files can be written, read and manipulated in a number of programming languages, such C++, Java and Python.

S. V. Chekanov

2013-06-27T23:59:59.000Z

26

Distributed Intelligence for Constructing Economic Models  

Science Conference Proceedings (OSTI)

This paper presents an integrated and distributed intelligent system being capable of automatically estimating and updating large-size economic models. The input-output model of economics uses a matrix representation of a nation's or a region's economy ... Keywords: Distributed Intelligence, Economic Models, Environmental Impact Assessment, Input-Output Tables, Machine Learning, Matrix Estimation, Parallel Optimization

Ting Yu

2010-07-01T23:59:59.000Z

27

An input-output procedure for calculating economy-wide economic impacts in supply chains using homeland security consequence analysis tools.  

SciTech Connect

Sandia National Laboratories has developed several models to analyze potential consequences of homeland security incidents. Two of these models (the National Infrastructure Simulation and Analysis Center Agent-Based Laboratory for Economics, N-ABLE{trademark}, and Loki) simulate detailed facility- and product-level consequences of simulated disruptions to supply chains. Disruptions in supply chains are likely to reduce production of some commodities, which may reduce economic activity across many other types of supply chains throughout the national economy. The detailed nature of Sandia's models means that simulations are limited to specific supply chains in which detailed facility-level data has been collected, but policymakers are often concerned with the national-level economic impacts of supply-chain disruptions. A preliminary input-output methodology has been developed to estimate national-level economic impacts based upon the results of supply-chain-level simulations. This methodology overcomes two primary challenges. First, the methodology must be relatively simple to integrate successfully with existing models; it must be easily understood, easily applied to the supply-chain models without user intervention, and run quickly. The second challenge is more fundamental: the methodology must account for both upstream and downstream impacts that result from supply-chain disruptions. Input-output modeling typically estimates only upstream impacts, but shortages resulting from disruptions in many supply chains (for example, energy, communications, and chemicals) are likely to have large downstream impacts. In overcoming these challenges, the input-output methodology makes strong assumptions about technology and substitution. This paper concludes by applying the methodology to chemical supply chains.

Smith, Braeton J.; Vugrin, Eric D.; Loose, Verne W.; Warren, Drake E.; Vargas, Vanessa N.

2010-10-01T23:59:59.000Z

28

APPENDIX B: Input/Output Matrix revised 04/24/2007  

E-Print Network (OSTI)

technology for distributed systems using natural gas with projected cost of $3.00/kg hydrogen at the pump assessment of Standards requirements for metallic and composite bulk storage tanks. 3 2006 2 1,3,5,6 5 1, 2 composition and issues. 4 2006 2,4,5,6 1 2 Fuel Cells F3 Provide automotive stack test data from documented

29

NREL: Water Power Research - Economic and Power System Modeling and  

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

Economic and Power System Modeling and Analysis Economic and Power System Modeling and Analysis NREL's Economic Analysis and power system modeling integrates data from device deployment and programmatic research into deployment and scenario models to quantify the economic and societal benefits of developing cost-competitive marine and hydrokinetic systems. It also identifies policy mechanisms, market designs, and supply chain needs to support various deployment scenarios, provide information and training to potential members of the marine and hydrokinetic (MHK) industry and effectively collaborate with all associated stakeholders. JEDI Modeling NREL worked with industry members to develop and provide public access to an easy-to-use input-output model that estimates the jobs and economic development impacts (JEDI) of MHK projects in the United States. The JEDI

30

On resampling and uncertainty estimation in Linear System Identification  

Science Conference Proceedings (OSTI)

Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single input-output data set. Here we investigate the utility of various methods for estimating the probability distribution of this nominal ... Keywords: Bootstrap, Model validation, Monte Carlo, Resampling, Subsampling, System identification

Simone Garatti; Robert R. Bitmead

2010-05-01T23:59:59.000Z

31

Drum type fossil fueled power plant control based on fuzzy inverse MIMO model  

Science Conference Proceedings (OSTI)

In this paper, a new fuzzy controller is proposed based on inverse model of boiler-turbine system. Gain scheduling scheme is used to keep feedback rule as close as possible to optimal condition while generating plant Input/Output data. Interaction between ... Keywords: ANFIS, drum type fossil fueled power plant (FFPP), interaction, inverse model control, nonlinear model, robustness

Ali Ghaffari; Mansour Nikkhah Bahrami; Hesam Parsa

2006-06-01T23:59:59.000Z

32

Defining and applying prediction performance metrics on a recurrent NARX time series model  

Science Conference Proceedings (OSTI)

Nonlinear autoregressive moving average with exogenous inputs (NARMAX) models have been successfully demonstrated for modeling the input-output behavior of many complex systems. This paper deals with the proposition of a scheme to provide time series ... Keywords: NARX models, Prediction performance metrics, Recurrent radial basis function network, Time series prediction

Ryad Zemouri; Rafael Gouriveau; Noureddine Zerhouni

2010-08-01T23:59:59.000Z

33

A stable one-step-ahead predictive control of non-linear systems  

Science Conference Proceedings (OSTI)

In this paper stability of one-step ahead predictive controllers based on non-linear models is established. It is shown that, under conditions which can be fulfilled by most industrial plants, the closed-loop system is robustly stable in the presence ... Keywords: Input-output constraints, Neural networks, Nonlinear systems, Predictive control, RBFN's, Robust, Stability

C. Kambhampati; J. D. Mason; K. Warwick

2000-04-01T23:59:59.000Z

34

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

SciTech Connect

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

NONE

1994-02-24T23:59:59.000Z

35

The APS control system network  

SciTech Connect

The APS accelerator control system is a distributed system consisting of operator interfaces, a network, and computer-controlled interfaces to hardware. This implementation of a control system has come to be called the {open_quotes}Standard Model.{close_quotes} The operator interface is a UNDC-based workstation with an X-windows graphical user interface. The workstation may be located at any point on the facility network and maintain full functionality. The function of the network is to provide a generalized communication path between the host computers, operator workstations, input/output crates, and other hardware that comprise the control system. The crate or input/output controller (IOC) provides direct control and input/output interfaces for each accelerator subsystem. The network is an integral part of all modem control systems and network performance will determine many characteristics of a control system. This paper will describe the overall APS network and examine the APS control system network in detail. Metrics are provided on the performance of the system under various conditions.

Sidorowicz, K.V.; McDowell, W.P.

1995-12-31T23:59:59.000Z

36

Simulation of timed input/output automata  

E-Print Network (OSTI)

This Master of Engineering Thesis describes the design, implementation, and usage of the TIOA Simulator. The TIOA Simulator, along with the other components of the TIOA Toolset aims to provide a framework for developing ...

Mavrommatis, Panayiotis P

2006-01-01T23:59:59.000Z

37

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

Science Conference Proceedings (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

38

System dynamics modelling of product carbon footprint life cycles for collaborative green supply chains  

Science Conference Proceedings (OSTI)

Governments, environmental groups and industry associations are reducing greenhouse gas emissions to insure environmental sustainability. Manufacturing plays an important role in economic development but is a main cause of global warming since production ... Keywords: economic input–output life cycle assessment, mass customisation, product carbon footprint, system dynamics

AmyJ. C. Trappey; CharlesV. Trappey; Chih-Tung Hsiao; JerryJ. R. Ou; Chin-Tsung Chang

2012-10-01T23:59:59.000Z

39

Neural Network Modeling of the Lithium/Thionyl Chloride Battery System  

DOE Green Energy (OSTI)

Battery systems have traditionally relied on extensive build and test procedures for product realization. Analytical models have been developed to diminish this reliance, but have only been partially successful in consistently predicting the performance of battery systems. The complex set of interacting physical and chemical processes within battery systems has made the development of analytical models a significant challenge. Advanced simulation tools are needed to more accurately model battery systems which will reduce the time and cost required for product realization. Sandia has initiated an advanced model-based design strategy to battery systems, beginning with the performance of lithiumhhionyl chloride cells. As an alternative approach, we have begun development of cell performance modeling using non-phenomenological models for battery systems based on artificial neural networks (ANNs). ANNs are inductive models for simulating input/output mappings with certain advantages over phenomenological models, particularly for complex systems. Among these advantages is the ability to avoid making measurements of hard to determine physical parameters or having to understand cell processes sufficiently to write mathematical functions describing their behavior. For example, ANN models are also being studied for simulating complex physical processes within the Li/SOC12 cell, such as the time and temperature dependence of the anode interracial resistance. ANNs have been shown to provide a very robust and computationally efficient simulation tool for predicting voltage and capacity output for Li/SOC12 cells under a variety of operating conditions. The ANN modeling approach should be applicable to a wide variety of battery chemistries, including rechargeable systems.

Ingersoll, D.; Jungst, R.G.; O'Gorman, C.C.; Paez, T.L.

1998-10-29T23:59:59.000Z

40

A Compact Propagation Delay Model for Deep-Submicron CMOS Gates including Crosstalk  

Science Conference Proceedings (OSTI)

We present a compact, fully physical, analytical model for the propagation delay and the output transition time of deep-submicron CMOS gates. The model accounts for crosstalk effects, short-circuit currents, the input-output coupling capacitance and ...

J. L. Rosselló; J. Segura

2004-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Modeling of geothermal systems  

DOE Green Energy (OSTI)

During the last decade the use of numerical modeling for geothermal resource evaluation has grown significantly, and new modeling approaches have been developed. In this paper we present a summary of the present status in numerical modeling of geothermal systems, emphasizing recent developments. Different modeling approaches are described and their applicability discussed. The various modeling tasks, including natural-state, exploitation, injection, multi-component and subsidence modeling, are illustrated with geothermal field examples. 99 refs., 14 figs.

Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.

1985-03-01T23:59:59.000Z

42

EVALUATION OF NOVEL INPUT OUTPUT TRAITS IN SORGHUM THROUGH BIOTECHNOLOGY.  

E-Print Network (OSTI)

??Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop world-wide as well as an important source of feed, fiber and biofuel. It… (more)

Mall, Tejinder K.

2010-01-01T23:59:59.000Z

43

PDP-6 LISP Input-Output for the Dataphone  

E-Print Network (OSTI)

A version of LISP 1.5 for the PDP-6 Computer has been extended to include IO through the dataphone. This makes possible communication between programs running in Project MAC time sharing and LISP programs running on the ...

Martin, William A.

1965-06-01T23:59:59.000Z

44

DRI Model of the U.S. Economy -- Model Documentation:  

Reports and Publications (EIA)

Provides documentation on Data Resources, Inc., DRI Model of the U.S. Economy and the DRI Personal Computer Input/Output Model. It also describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations.

Information Center

1993-12-01T23:59:59.000Z

45

Modeling the earth system  

Science Conference Proceedings (OSTI)

The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.

Ojima, D. [ed.

1992-12-31T23:59:59.000Z

46

Systems Modeling | ornl.gov  

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

Computational Physics Communication Networks and Technologies Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Systems Modeling SHARE Systems Modeling System modeling is the interdisciplinary study of the use of models to conceptualize and construct systems. A common type of systems modeling is function modeling, with specific techniques such as the functional flow block diagram. These models can be extended using functional decomposition, and can be linked to requirements models for further systems

47

Projected dynamical systems in a complementarity formalism  

Science Conference Proceedings (OSTI)

Projected dynamical systems have been introduced by Dupuis and Nagurney as dynamic extensions of variational inequalities. In the systems and control literature, complementarity systems have been studied as input/output dynamical systems whose inputs ... Keywords: Complementarity, Discontinuous dynamical systems, Optimization, Systems theory, Variational inequalities

W. P. M. H. Heemels; J. M. Schumacher; S. Weiland

2000-09-01T23:59:59.000Z

48

Discrete-Time Block Models for Transmission Line Channels: Static and Doubly Selective Cases  

E-Print Network (OSTI)

Most methodologies for modeling Transmission Line (TL) based channels define the input-output relationship in the frequency domain (FD) and handle the TL resorting to a two-port network (2PN) formalism. These techniques have not yet been formally mapped into a discrete-time (DT) block model, which is useful to simulate and estimate the channel response as well as to design optimal precoding strategies. TL methods also fall short when they are applied to Time Varying (TV) systems, such as the power line channel. The objective of this paper is to establish if and how one can introduce a DT block model for the Power Line Channel. We prove that it is possible to use Lifting and Trailing Zeros (L&TZ) techniques to derive a DT block model that maps the TL-based input-output description directly in the time domain (TD) block channel model. More specifically, we find an interesting relationship between the elements of an ABCD matrix, defined in the FD, and filtering kernels that allow an elegant representation of...

Galli, Stefano

2011-01-01T23:59:59.000Z

49

Macro-System Model Overview  

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

Such a macro-system model is critical to assessing the transition from the existing energy infrastructure to one including hydrogen. Individual models spanning a wide range of...

50

Statistical Modeling in Nonlinear Systems  

Science Conference Proceedings (OSTI)

The use of linear statistical methods in building climate prediction models is examined, particularly the use of anomalies. The author’s perspective is that the climate system is a nonlinear interacting system, so the impact of modeling using ...

Edward P. Campbell

2005-08-01T23:59:59.000Z

51

Modeling Quantum Information Systems abstract  

Science Conference Proceedings (OSTI)

Paul E. Black and Andrew W. Lane, Modeling Quantum Information Systems, Proc. SPIE, Vol. 5436, Quantum Information ...

2013-05-07T23:59:59.000Z

52

System Testing using UML Models  

Science Conference Proceedings (OSTI)

Coverage of system states during system testing is a nontrivial problem. It is because the number of system states is usually very large, and system developers often do not construct system state model. In this paper, we propose a method to design system ...

Monalisa Sarma; Rajib Mall

2007-10-01T23:59:59.000Z

53

Evaluation of a server-client architecture for accelerator modeling and simulation  

Science Conference Proceedings (OSTI)

Traditional approaches to computational modeling and simulation often utilize a batch method for code execution using file-formatted input/output. This method of code implementation was generally chosen for several factors, including CPU throughput and availability, complexity of the required modeling problem, and presentation of computation results. With the advent of faster computer hardware and the advances in networking and software techniques, other program architectures for accelerator modeling have recently been employed. Jefferson Laboratory has implemented a client/server solution for accelerator beam transport modeling utilizing a query-based I/O. The goal of this code is to provide modeling information for control system applications and to serve as a computation engine for general modeling tasks, such as machine studies. This paper performs a comparison between the batch execution and server/client architectures, focusing on design and implementation issues, performance, and general utility towards accelerator modeling demands.

Bowling, B.A.; Akers, W.; Shoaee, H.; Watson, W.; Zeijts, J. van; Witherspoon, S.

1997-11-01T23:59:59.000Z

54

The Community Climate System Model  

Science Conference Proceedings (OSTI)

The community Earth System Model (CESM) is a fully coupled, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states.

Worley, Patrick H [ORNL

2011-01-01T23:59:59.000Z

55

SEADS 3.0 Sectoral Energy/Employment Analysis and Data System  

SciTech Connect

SEADS 3.0, the Sectoral Energy/Employment Analysis and Data System, is a revision and upgrading of SEADS–PC, a software package designed for the analysis of policy that could be described by modifying final demands of consumer, businesses, or governments (Roop, et al., 1995). If a question can be formulated so that implications can be translated into changes in final demands for goods and services, then SEADS 3.0 provides a quick and easy tool to assess preliminary impacts. And SEADS 3.0 should be considered just that: a quick and easy way to get preliminary results. Often a thorough answer, even to such a simple question as, “What would be the effect on U. S. energy use and employment if the Federal Government doubled R&D expenditures?” requires a more sophisticated analytical framework than the input-output structure embedded in SEADS 3.0. This tool uses a static, input-output model to assess the impacts of changes in final demands on first industry output, then employment and energy use. The employment and energy impacts are derived by multiplying the industry outputs (derived from the changed final demands) by industry-specific energy and employment coefficients. The tool also allows for the specification of regional or state employment impacts, though this option is not available for energy impacts.

Roop, Joseph M.; Anderson, David A.; Schultz, Robert W.; Elliott, Douglas B.

2007-12-17T23:59:59.000Z

56

Macro-System Model (Poster)  

DOE Green Energy (OSTI)

Poster presentation on Macro-System Model for the 2005 Hydrogen, Fuel Cells & Infrastructure Technologies Program Annual Review held in Arlington, Virginia on May 23-26, 2005

Ruth, M.

2005-05-01T23:59:59.000Z

57

Modelling the carbon system  

E-Print Network (OSTI)

ABSTRACT. Claims that forest cutting (luring the last few decades has contributed significantly to the buildup in atmospheric CO2 have cast doubt on the validity of models used to estimate CO. uptake by the ocean. In this paper we review the existing models and conclude that the box-diffusion model of Oeschger and his co-workers provides an excellent fit to the average distributions of natural and bomb-produced radiocarbon. We also take the first steps toward a more detailed ocean model which takes into account upwelling in the equatorial zone and deep water formation in the polar zone. The model is calibrated using the distribution of bomb-produced and cosmic ray-produced radiocarbon in the ocean. Preliminary calculations indicate that the fossil fuel CO2 uptake by this model will be greater than that by the box-diffusion model of Oeschger and others (1975) but not great enough to accommodate a significant decline in the mass of the terrestrial biosphere over the past two decades.

Wallace S Broecker; Tsung-hung Peng; Richard Engh

1980-01-01T23:59:59.000Z

58

Cavity-QED models of switches for attojoule-scale nanophotonic logic  

E-Print Network (OSTI)

Quantum optical input-output models are described for a class of optical switches based on cavity quantum electrodynamics (cavity QED) with a single multilevel atom (or comparable bound system of charges) coupled simultaneously to several resonant field modes. A recent limit theorem for quantum stochastic differential equations is used to show that such models converge to a simple scattering matrix in a type of strong coupling limit that seems natural for nanophotonic systems. Numerical integration is used to show that the behavior of the pre-limit model approximates that of the simple scattering matrix in a realistic regime for the physical parameters, and that it is possible in the proposed cavity-QED configuration for low power optical signals to switch higher-power signals at attojoule energy scales.

Hideo Mabuchi

2009-07-15T23:59:59.000Z

59

Directory of Energy Information Administration models, 1990  

Science Conference Proceedings (OSTI)

This directory revises and updates the Directory of Energy Information Administration Models, DOE/EIA-0293(89), Energy Information Administration (EIA), US Department of Energy, May 1989. The major changes are the inclusion of the Building Energy End-Use Model (BEEM-PC), Residential Energy End-Use Model (REEM-PC), the Refinery Yield Model Spreadsheet System (RYMSS-PC), and the Capital Stock Model (CAPSTOCK-PC). Also, the following models have been inactivated: Energy Disaggregated Input-Output Model (EDIO), Household Model of Energy (HOME3-PC), Commercial Sector Energy Model (CSEM-PC), Outer Continental Shelf Oil and Gas Supply Model (OCSM), and the Stock Module of the Intermediate Future Forecasting System (STOCK). This directory contains descriptions about each basic and auxiliary model, including the title, acronym, purpose, and type, followed by more detailed information on characteristics, uses, and requirements. For developing models, limited information is provided. Sources for additional information are identified. Included in this directory are 38 EIA models active as of March 1, 1990, as well as the PC-AEO Forecasting Model Overview and the three Subsystems for the Short-Term Integrated Forecasting System (STIFS) Model. Models that run on personal computers are identified by PC'' as part of the acronym.

Not Available

1990-06-04T23:59:59.000Z

60

Connectionist Modeling Using Lindenmayer Systems  

E-Print Network (OSTI)

In this paper the idea of using Lindenmayer systems (L-systems) to create connectionist models is introduced. L-systems with some extensions provide us with a method for creating connectionist models with a close analogy to the growing process of nature. The main advantages to use L-systems in connectionist modeling is its capability for controling growth of connectionist model. Starting from a small initial state, the connectionist model is grown using a simple set of production rules. Learning is part of growth, where it can be implemented as a modification of connection parameter values or as a creation or deletion of connections themselves. The learning is implemented in the same way as growth was using internal production rules. A small scale example to use L-systems for the XOR problem is given. 1 Introduction In connectionist models knowledge is in the connections [20, page 132]. This implies that the connectionist modeling is knowledge representation modeling. In this paper we ...

Jari Vaario; Setsuo OHSUGA; Koichi Hori

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Dynamic modeling of power systems  

Science Conference Proceedings (OSTI)

Morgantown Energy Technology Center`s (METC) Process and Project Engineering (P&PE) personnel continue to refine and modify dynamic modeling or simulations for advanced power systems. P&PE, supported by Gilbert/Commonwealth, Inc. (G/C), has adapted PC/TRAX commercial dynamic software to include equipment found in advanced power systems. PC/TRAX`s software contains the equations that describe the operation of standard power plant equipment such as gas turbines, feedwater pumps, and steam turbines. The METC team has incorporated customized dynamic models using Advanced Continuous Simulation Language (ACSL) code for pressurized circulating fluidized-bed combustors, carbonizers, and other components that are found in Advanced Pressurized Fluidized-Bed Combustion (APFBC) systems. A dynamic model of a commercial-size APFBC power plant was constructed in order to determine representative operating characteristics of the plant and to gain some insight into the best type of control system design. The dynamic model contains both process and control model components. This presentation covers development of a model used to describe the commercial APFBC power plant. Results of exercising the model to simulate plant performance are described and illustrated. Information gained during the APFBC study was applied to a dynamic model of a 1-1/2 generation PFBC system. Some initial results from this study are also presented.

Reed, M.; White, J.

1995-12-01T23:59:59.000Z

62

Modeling formalisms in Systems Biology  

E-Print Network (OSTI)

Systems Biology has taken advantage of computational tools and high-throughput experimental data to model several biological processes. These include signaling, gene regulatory, and metabolic networks. However, most of ...

Machado, Daniel

63

System Advisor Model | OpenEI  

Open Energy Info (EERE)

Up Search Facebook icon Twitter icon System Advisor Model Dataset Summary Description Weather resource data for the United States for use in the System Advisor Model (SAM)....

64

Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system  

Science Conference Proceedings (OSTI)

This paper proposes a precise real-time wind speed estimation method and sensorless control for variable-speed variable-pitch wind turbine power generation system (WTPGS). The wind speed estimation is realized by a nonlinear input-output mapping extreme ... Keywords: Extreme learning machine, Sensorless control, Wind speed estimation, Wind turbine power generation system

Si Wu; Youyi Wang; Shijie Cheng

2013-02-01T23:59:59.000Z

65

INTEGRATED HYDROGEN STORAGE SYSTEM MODEL  

DOE Green Energy (OSTI)

Hydrogen storage is recognized as a key technical hurdle that must be overcome for the realization of hydrogen powered vehicles. Metal hydrides and their doped variants have shown great promise as a storage material and significant advances have been made with this technology. In any practical storage system the rate of H2 uptake will be governed by all processes that affect the rate of mass transport through the bed and into the particles. These coupled processes include heat and mass transfer as well as chemical kinetics and equilibrium. However, with few exceptions, studies of metal hydrides have focused primarily on fundamental properties associated with hydrogen storage capacity and kinetics. A full understanding of the complex interplay of physical processes that occur during the charging and discharging of a practical storage system requires models that integrate the salient phenomena. For example, in the case of sodium alanate, the size of NaAlH4 crystals is on the order of 300nm and the size of polycrystalline particles may be approximately 10 times larger ({approx}3,000nm). For the bed volume to be as small as possible, it is necessary to densely pack the hydride particles. Even so, in packed beds composed of NaAlH{sub 4} particles alone, it has been observed that the void fraction is still approximately 50-60%. Because of the large void fraction and particle to particle thermal contact resistance, the thermal conductivity of the hydride is very low, on the order of 0.2 W/m-{sup o}C, Gross, Majzoub, Thomas and Sandrock [2002]. The chemical reaction for hydrogen loading is exothermic. Based on the data in Gross [2003], on the order of 10{sup 8}J of heat of is released for the uptake of 5 kg of H{sub 2}2 and complete conversion of NaH to NaAlH{sub 4}. Since the hydride reaction transitions from hydrogen loading to discharge at elevated temperatures, it is essential to control the temperature of the bed. However, the low thermal conductivity of the hydride makes it difficult to remove the heat of reaction, especially in the relatively short target refueling times, see Attachment 3. This document describes a detailed numerical model for general metal hydride beds that couples reaction kinetics with heat and mass transfer, for both hydriding and dehydriding of the bed. The detailed model is part of a comprehensive methodology for the design, evaluation and modification of hydrogen storage systems. In Hardy [2007], scoping models for reaction kinetics, bed geometry and heat removal parameters are discussed. The scoping models are used to perform a quick assessment of storage systems and identify those which have the potential to meet DOE performance targets. The operational characteristics of successful candidate systems are then evaluated with the more detailed models discussed in this document. The detailed analysis for hydrogen storage systems is modeled in either 2 or 3-dimensions, via the general purpose finite element solver COMSOL Multiphysics{reg_sign}. The two-dimensional model serves to provide rapid evaluation of bed configurations and physical processes, while the three-dimensional model, which requires a much longer run time, is used to investigate detailed effects that do not readily lend themselves to two-dimensional representations. The model is general and can be adapted to any geometry or storage media. In this document, the model is applied to a modified cylindrical shell and tube geometry with radial fins perpendicular to the axis, see Figures 4.1-1 and 4.1-2. Sodium alanate, NaAlH{sub 4}, is used as the hydrogen storage medium. The model can be run on any DOS, LINUX or Unix based system.

Hardy, B

2007-11-16T23:59:59.000Z

66

Models for multimegawatt space power systems  

SciTech Connect

This report describes models for multimegawatt, space power systems which Sandia's Advanced Power Systems Division has constructed to help evaluate space power systems for SDI's Space Power Office. Five system models and models for associated components are presented for both open (power system waste products are exhausted into space) and closed (no waste products) systems: open, burst mode, hydrogen cooled nuclear reactor -- turboalternator system; open, hydrogen-oxygen combustion turboalternator system; closed, nuclear reactor powered Brayton cycle system; closed, liquid metal Rankine cycle system; and closed, in-core, reactor therminonic system. The models estimate performance and mass for the components in each of these systems. 17 refs., 8 figs., 15 tabs.

Edenburn, M.W.

1990-06-01T23:59:59.000Z

67

NREL: Systems Engineering - Models and Tools  

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

and Tools The NREL Systems Engineering Initiative develops, integrates, and analyzes wind energy system models. NREL has developed an overall integrated system analysis tool...

68

Modeling the beam characterization system  

DOE Green Energy (OSTI)

The Beam Characterization System (BCS) recently developed for heliostat evaluation at the Central Receiver Test Facility at Sandia Laboratories, measures, digitizes, records, and analyzes a flux-density pattern in a beam of reflected sunlight. Since the BCS collects data with a given set of conditions (geometry, weather, etc.) to determine optical specifications which can predict heliostat behavior under other sets of conditions, it is necessary to use a theoretical model of the system to interpret results. This model serves as an aid to define specifications, analyze measurements, calculate performance, and answer other questions about the heliostat. A statistical method is used to handle stochastic variables such as sun-tracking errors and surface-slope errors. A cone-optics technique is used to incorporate the statistics into a consistent model of the optical behavior of a heliostat. An overview of this model is given. Use of the model is unfolding slope-error distributions and sun-tracking statistics is described for measurements both in and out of the focal plane. The importance of auxiliary input information such as the sunshape (angular distribution of sun rays) to the analysis of BCS measurements is discussed. Finally, the role of the BCS in validating heliostats against acceptance criteria is summarized.

Biggs, F.; Vittitoe, C.N.; King, D.L.

1979-01-01T23:59:59.000Z

69

Model Energy Conversion Efficiency of Biological Systems  

Science Conference Proceedings (OSTI)

MML Researchers Model Energy Conversion Efficiency of Biological Systems. Novel, highly efficient energy conversion ...

2013-03-15T23:59:59.000Z

70

A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran  

Science Conference Proceedings (OSTI)

One of the primary concerns in measuring the relative efficiency of a telecommunication unit compared with other similar units is the uncertainty on input/output data. In this paper, a bootstrapped robust data envelopment analysis (BRDEA) model is proposed ... Keywords: Bootstrap, Data envelopment analysis, Robust optimization

S. J. Sadjadi; H. Omrani

2010-05-01T23:59:59.000Z

71

On linear models for nonlinear systems  

Science Conference Proceedings (OSTI)

Best linear time-invariant (LTI) approximations are analysed for several interesting classes of discrete nonlinear time-invariant systems. These include nonlinear finite impulse response systems and a class of nonsmooth systems called bi-gain systems. ... Keywords: Approximation, Discrete-time systems, Fréchet derivative, Linear models, Nonlinear systems, System identification, Wiener systems

P. M. MäKilä; J. R. Partington

2003-01-01T23:59:59.000Z

72

NUCLEAR ENERGY SYSTEM COST MODELING  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy’s Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative “Island” approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island’s used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an island’s cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.

Francesco Ganda; Brent Dixon

2012-09-01T23:59:59.000Z

73

Integration of EBS Models with Generic Disposal System Models | Department  

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

Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and

74

Integration of EBS Models with Generic Disposal System Models | Department  

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

Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and

75

Modeling a leadership-scale storage system  

Science Conference Proceedings (OSTI)

Exascale supercomputers will have the potential for billion-way parallelism. While physical implementations of these systems are currently not available, HPC system designers can develop models of exascale systems to evaluate system design points. Modeling ... Keywords: exascale computing, parallel discrete-event simulation, storage system design

Ning Liu; Christopher Carothers; Jason Cope; Philip Carns; Robert Ross; Adam Crume; Carlos Maltzahn

2011-09-01T23:59:59.000Z

76

National Energy Modeling System (NEMS)  

DOE Data Explorer (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

77

Ensemble Generation for Models of Multimodal Systems  

Science Conference Proceedings (OSTI)

In this work the performance of ensembles generated by commonly used methods in a nonlinear system with multiple attractors is examined. The model used here is a spectral truncation of a barotropic quasigeostrophic channel model. The system ...

Robert N. Miller; Laura L. Ehret

2002-09-01T23:59:59.000Z

78

Bounded model checking of infinite state systems  

Science Conference Proceedings (OSTI)

Bounded model checking (BMC) is an attractive alternative to symbolic model checking, since it often allows a more efficient verification. The idea of BMC is to reduce the model checking problem to a satisfiability problem of the underlying base logic, ... Keywords: Bounded model checking, Global model checking, Infinite state systems, Local model checking, Temporal logic hierarchy

Tobias Schuele; Klaus Schneider

2007-02-01T23:59:59.000Z

79

NREL: Jobs and Economic Development Impact (JEDI) Models - Limitations of  

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

Limitations of JEDI Models Limitations of JEDI Models Results are an estimate, not a precise forecast. The Jobs and Economic Development Impact (JEDI) models are input-output based models, also appropriately called calculators or screening tools. As such, they share important limitations with all models based on input-output calculation methodologies. For the interested user, the Environmental Protection Agency recently published EPA Assessing the Multiple Benefits of Clean Energy: A Resource for States1, which discusses and compares different types of models and screening tools for assessing economic impacts and jobs, including JEDI (see Chapter 5, pp. 136-142). The most important limitation to note is that JEDI results are estimates, not precise forecasts, for the following reasons.

80

Integrated Hydrogen Storage System Model  

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

WSRC-TR-2007-00440, REVISION 0 WSRC-TR-2007-00440, REVISION 0 Keywords: Hydrogen Kinetics, Hydrogen Storage Vessel Metal Hydride Retention: Permanent Integrated Hydrogen Storage System Model Bruce J. Hardy November 16, 2007 Washington Savannah River Company Savannah River Site Aiken, SC 29808 Prepared for the U.S. Department of Energy Under Contract Number DEAC09-96-SR18500 DISCLAIMER This report was prepared for the United States Department of Energy under Contract No. DE-AC09-96SR18500 and is an account of work performed under that contract. Neither the United States Department of Energy, nor WSRC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for accuracy, completeness, or usefulness, of any information,

Note: This page contains sample records for the topic "input-output modeling system" 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

Documentation of the DRI Model of the US economy, December 1993  

SciTech Connect

The Energy Information Administration (EIA) uses models of the US economy developed by Data Resources, Inc. (DRI) for conducting policy analyses, preparing forecasts for the Annual Energy Outlook, the Short-Term Energy Outlook, and related analyses in conjunction with EIA`s National Energy Modeling System (NEMS) and its other energy market models. Both the DRI Model of the US Economy and the DRI Personal Computer Input-Output Model (PC-IO){sup 2} were developed and are maintained by DRI as proprietary models. This report provides documentation, as required by EIA standards for the use of proprietary models; describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations. Appendix A describes how the two large-scale models documented here are used to support the macroeconomic and interindustry modeling associated with the National Energy Modeling System. Appendix B is an article by Stephen McNees of the Federal Reserve Bank of Boston on ``How Large are Economic Forecast Errors.`` This article assesses the forecast accuracy of a number of economic forecasting models (groups) and is attached as an independent assessment of the forecast accuracy of the DRI Model of the US Economy.

Not Available

1994-02-28T23:59:59.000Z

82

Generic CSP Performance Model for NREL's System Advisor Model: Preprint  

SciTech Connect

The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.

Wagner, M. J.; Zhu, G.

2011-08-01T23:59:59.000Z

83

Modeling Power Systems as Complex Adaptive Systems  

Science Conference Proceedings (OSTI)

Physical analogs have shown considerable promise for understanding the behavior of complex adaptive systems, including macroeconomics, biological systems, social networks, and electric power markets. Many of today's most challenging technical and policy questions can be reduced to a distributed economic control problem. Indeed, economically based control of large-scale systems is founded on the conjecture that the price-based regulation (e.g., auctions, markets) results in an optimal allocation of resources and emergent optimal system control. This report explores the state-of-the-art physical analogs for understanding the behavior of some econophysical systems and deriving stable and robust control strategies for using them. We review and discuss applications of some analytic methods based on a thermodynamic metaphor, according to which the interplay between system entropy and conservation laws gives rise to intuitive and governing global properties of complex systems that cannot be otherwise understood. We apply these methods to the question of how power markets can be expected to behave under a variety of conditions.

Chassin, David P.; Malard, Joel M.; Posse, Christian; Gangopadhyaya, Asim; Lu, Ning; Katipamula, Srinivas; Mallow, J V.

2004-12-30T23:59:59.000Z

84

Comparison of Photovoltaic Models in the System Advisor Model: Preprint  

DOE Green Energy (OSTI)

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

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

2013-08-01T23:59:59.000Z

85

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

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

86

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

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

87

An Input-Output Analysis of the Relationships between Communications and Travel for Industry  

E-Print Network (OSTI)

Industrial machinery manufacturing Commercial and service industry machinery HVAC and commercial refrigeration

Lee, Taihyeong; Mokhtarian, Patricia L

2004-01-01T23:59:59.000Z

88

An Input-Output Analysis of the Relationships Between Communications and Travel for Industry  

E-Print Network (OSTI)

Industrial machinery manufacturing 50 and52* 50 and52* 50 and52* Commercial and service industry machinery HVAC and commercial refrigeration

Lee, Taihyeong; Mokhtarian, Patricia L.

2004-01-01T23:59:59.000Z

89

An Input-Output Analysis of the Relationships between Communications and Travel for Industry  

E-Print Network (OSTI)

for Spreadsheets in Excel (sample year 1992) Industry94 Industry Category 29 Direct I-O Coefficients (97 by 94)Make of Commodities by Industries 2. The Use of Industries

Lee, Taihyeong; Mokhtarian, Patricia L

2004-01-01T23:59:59.000Z

90

An Input-Output Analysis of the Relationships Between Communications and Travel for Industry  

E-Print Network (OSTI)

Make of Commodities by Industries 2. The Use of Industriesrelationships in industry. Transportation Research A 31A(for Classification of Industries in 1997 B. Comparison of

Lee, Taihyeong; Mokhtarian, Patricia L.

2004-01-01T23:59:59.000Z

91

Enhanced input/output architecture for toroidally-connected distributed-memory parallel computers  

SciTech Connect

This patent describes an improvement in a toroidally-connected distributed-memory parallel computer having rows and columns of processors, wherein each processor has an independent memory and is connected to four neighboring processors. It comprises: at least one common I/O channel; a buffering mechanisms, each being connected to such I/O channel and to only one corresponding processor in a given row of processors; and each such processor of the given row being connected to only one corresponding buffer mechanism in such a manner that it can access its buffer mechanism independently of the access top such buffer mechanism by the I/O channel, and independently of access to the buffer mechanisms corresponding to other processors in the given row.

Cok, R.S.

1990-07-17T23:59:59.000Z

92

Using input-output techniques to address economic and energy issues in Malaysia  

E-Print Network (OSTI)

and gas: Can the result be interpreted as a change in kWh demand? (relative change) Import matrix and natural gas? · Which sectoral splits could be relevant for energy analyses? · Is it possible to identify). · First step is the extension of row dimension by one : The new row 67 is natural gas and rox 66

93

A CAD modeling system for heterogeneous object  

Science Conference Proceedings (OSTI)

A heterogeneous object (HO) modeling system independent of any commercial CAD packages is introduced in this paper. CAD models can be converted into 2D slices with heterogeneous material information for the fabrication of rapid prototyping technique. ... Keywords: CAD system, Heterogeneous object modeling, Volume graphics

Xiaojun Wu; Weijun Liu; Michael Yu Wang

2008-05-01T23:59:59.000Z

94

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

95

World Energy Projection System Plus Model Documentation: Macroeconomic Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Macroeconomic Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

96

World Energy Projection System Plus Model Documentation: World Electricity Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

2011-09-29T23:59:59.000Z

97

World Energy Projection System Plus Model Documentation: Greenhouse Gases Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

2011-09-29T23:59:59.000Z

98

World Energy Projection System Plus Model Documentation: Natural Gas Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

99

World Energy Projection System Plus Model Documentation: Main Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Information Center

2011-01-20T23:59:59.000Z

100

World Energy Projection System Plus Model Documentation: Coal Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

World Energy Projection System Plus Model Documentation: District Heat Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

102

World Energy Projection System Plus Model Documentation: Commercial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

103

World Energy Projection System Plus Model Documentation: Transportation Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Victoria Zaretskaya

2011-09-29T23:59:59.000Z

104

World Energy Projection System Plus Model Documentation: Residential Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

105

World Energy Projection System Plus Model Documentation: Refinery Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Adrian Geagla

2011-10-04T23:59:59.000Z

106

World Energy Projection System Plus Model Documentation: Industrial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Peter Gross

2011-10-12T23:59:59.000Z

107

A Distributed Snow-Evolution Modeling System (SnowModel)  

Science Conference Proceedings (OSTI)

SnowModel is a spatially distributed snow-evolution modeling system designed for application in landscapes, climates, and conditions where snow occurs. It is an aggregation of four submodels: MicroMet defines meteorological forcing conditions, ...

Glen E. Liston; Kelly Elder

2006-12-01T23:59:59.000Z

108

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

109

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

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

110

Update and assessment of geothermal economic models, geothermal fluid flow and heat distribution models, and geothermal data bases  

SciTech Connect

Numerical simulation models and data bases that were developed for DOE as part of a number of geothermal programs have been assessed with respect to their overall stage of development and usefulness. This report combines three separate studies that focus attention upon: (1) economic models related to geothermal energy; (2) physical geothermal system models pertaining to thermal energy and the fluid medium; and (3) geothermal energy data bases. Computerized numerical models pertaining to the economics of extracting and utilizing geothermal energy have been summarized and catalogued with respect to their availability, utility and function. The 19 models that are discussed in detail were developed for use by geothermal operators, public utilities, and lending institutions who require a means to estimate the value of a given resource, total project costs, and the sensitivity of these values to specific variables. A number of the models are capable of economically assessing engineering aspects of geothermal projects. Computerized simulations of heat distribution and fluid flow have been assessed and are presented for ten models. Five of the models are identified as wellbore simulators and five are described as reservoir simulators. Each model is described in terms of its operational characteristics, input, output, and other pertinent attributes. Geothermal energy data bases are reviewed with respect to their current usefulness and availability. Summaries of eight data bases are provided in catalogue format, and an overall comparison of the elements of each data base is included.

Kenkeremath, D. (ed.)

1985-05-01T23:59:59.000Z

111

3.System Design Basis 2) MODELING  

E-Print Network (OSTI)

-0012) Vendor Prints 2) All equipments are modelled using the standard HYSYS unit operation models. 3) Butane BOG compressors with butane storage system is modelled for this report. 4) Modelling have been streams and out streams specifications for the butane storage tanks(T-1/2/3/4) with Butane BOG compressor

Hong, Deog Ki

112

Hammerstein Models for Identification of Stochastic Systems  

Science Conference Proceedings (OSTI)

Identification of nonlinear stochastic systems in the class of Hammerstein models is investigated with regard for the nonlinearities of the investigated object. Hammerstein models are constructed with regard for the output noise in the form of a martingale ...

G. R. Bolkvadze

2003-01-01T23:59:59.000Z

113

The NCAR Climate System Model, Version One  

Science Conference Proceedings (OSTI)

The NCAR Climate System Model, version one, is described. The spinup procedure prior to a fully coupled integration is discussed. The fully coupled model has been run for 300 yr with no surface flux corrections in momentum, heat, or freshwater. ...

Byron A. Boville; Peter R. Gent

1998-06-01T23:59:59.000Z

114

Modeling turbo-expander systems  

Science Conference Proceedings (OSTI)

Turbo-expander systems have long been used instead of regulators, but they have recently received attention as a driving medium for power electrical generators. These systems typically replace the regulator valves that reduce the gas pressure in gas ... Keywords: dispersed generation, turbo-expander systems, variable nozzle angle

Mehdi Taleshian Jelodar, Hasan Rastegar, Hossein Askarian Abyaneh

2013-02-01T23:59:59.000Z

115

Nuclear Systems Modeling, Simulation & Validation | Nuclear Science...  

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

Research Areas Fuel Cycle Science & Technology Fusion Nuclear Science Isotope Development and Production Nuclear Security Science & Technology Nuclear Systems Modeling, Simulation...

116

The Atmospheric Mesoscale Dispersion Modeling System  

Science Conference Proceedings (OSTI)

The mesoscale dispersion modeling system (MDMS) described herein is under development as a simulation tool to investigate atmospheric flow and pollution dispersion over complex terrain for domains up to several hundred kilometers. The system ...

Marek Uliasz

1993-01-01T23:59:59.000Z

117

Policies of System Level Pipeline Modeling  

E-Print Network (OSTI)

Pipelining is a well understood and often used implementation technique for increasing the performance of a hardware system. We develop several SystemC/C++ modeling techniques that allow us to quickly model, simulate, and evaluate pipelines. We employ a small domain specific language (DSL) based on resource usage patterns that automates the drudgery of boilerplate code needed to configure connectivity in simulation models. The DSL is embedded directly in the host modeling language SystemC/C++. Additionally we develop several techniques for parameterizing a pipeline's behavior based on policies of function, communication, and timing (performance modeling).

Harcourt, Ed

2008-01-01T23:59:59.000Z

118

Multiple system modelling of waste management  

Science Conference Proceedings (OSTI)

Highlights: > Linking of models will provide a more complete, correct and credible picture of the systems. > The linking procedure is easy to perform and also leads to activation of project partners. > The simulation procedure is a bit more complicated and calls for the ability to run both models. - Abstract: Due to increased environmental awareness, planning and performance of waste management has become more and more complex. Therefore waste management has early been subject to different types of modelling. Another field with long experience of modelling and systems perspective is energy systems. The two modelling traditions have developed side by side, but so far there are very few attempts to combine them. Waste management systems can be linked together with energy systems through incineration plants. The models for waste management can be modelled on a quite detailed level whereas surrounding systems are modelled in a more simplistic way. This is a problem, as previous studies have shown that assumptions on the surrounding system often tend to be important for the conclusions. In this paper it is shown how two models, one for the district heating system (MARTES) and another one for the waste management system (ORWARE), can be linked together. The strengths and weaknesses with model linking are discussed when compared to simplistic assumptions on effects in the energy and waste management systems. It is concluded that the linking of models will provide a more complete, correct and credible picture of the consequences of different simultaneous changes in the systems. The linking procedure is easy to perform and also leads to activation of project partners. However, the simulation procedure is a bit more complicated and calls for the ability to run both models.

Eriksson, Ola, E-mail: ola.eriksson@hig.se [Profu i Goeteborg AB, Goetaforsliden 13 Nedre, SE 431 34 Moelndal (Sweden); Department of Building, Energy and Environmental Engineering, University of Gaevle, SE 801 76 Gaevle (Sweden); Bisaillon, Mattias, E-mail: mattias.bisaillon@profu.se [Profu i Goeteborg AB, Goetaforsliden 13 Nedre, SE 431 34 Moelndal (Sweden)

2011-12-15T23:59:59.000Z

119

Generic Model Host System Design  

SciTech Connect

There are many simulation codes for accelerator modelling; each one has some strength but not all. A platform which can host multiple modelling tools would be ideal for various purposes. The model platform along with infrastructure support can be used not only for online applications but also for offline purposes. Collaboration is formed for the effort of providing such a platform. In order to achieve such a platform, a set of common physics data structure has to be set. Application Programming Interface (API) for physics applications should also be defined within a model data provider. A preliminary platform design and prototype is discussed.

Chu, Chungming; /SLAC; Wu, Juhao; /SLAC; Qiang, Ji; /LBL, Berkeley; Shen, Guobao; /Brookhaven

2012-06-22T23:59:59.000Z

120

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "input-output modeling system" 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

Very Large System Dynamics Models - Lessons Learned  

Science Conference Proceedings (OSTI)

This paper provides lessons learned from developing several large system dynamics (SD) models. System dynamics modeling practice emphasize the need to keep models small so that they are manageable and understandable. This practice is generally reasonable and prudent; however, there are times that large SD models are necessary. This paper outlines two large SD projects that were done at two Department of Energy National Laboratories, the Idaho National Laboratory and Sandia National Laboratories. This paper summarizes the models and then discusses some of the valuable lessons learned during these two modeling efforts.

Jacob J. Jacobson; Leonard Malczynski

2008-10-01T23:59:59.000Z

122

NREL: System Advisor Model (SAM)  

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

location, installation and operating costs, type of financing, applicable tax credits and incentives, and system specifications. SAM also calculates the value of saved energy from...

123

B.: System Model-Based Definition of Modeling Language Semantics  

E-Print Network (OSTI)

Abstract. In this paper, we present an approach to define the semantics for object-oriented modeling languages. One important property of this semantics is to support underspecified and incomplete models. To this end, semantics is given as predicates over elements of the semantic domain. This domain is called the system model which is a general declarative characterization of object systems. The system model is very detailed since it captures various relevant structural, behavioral, and interaction aspects. This allows us to re-use the system model as a domain for various kinds of object-oriented modeling languages. As a major consequence, the integration of language semantics is straight-forward. The whole approach is supported by tools that do not constrain the semantics definition’s expressiveness and flexibility while making it machinecheckable. 1

Hans Grönniger; Jan Oliver Ringert; Bernhard Rumpe; Lehrstuhl Informatik (softwaretechnik) Rwth Aachen

2009-01-01T23:59:59.000Z

124

System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report  

SciTech Connect

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

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

2013-12-01T23:59:59.000Z

125

Bifurcation Analysis of Various Power System Models  

E-Print Network (OSTI)

Bifurcation Analysis of Various Power System Models William D. Rosehart Claudio A. Ca This paper presents the bifurcation analysis of a detailed power system model composed of an aggregated induction motor and impedance load supplied by an under-load tap-changer transformer and an equivalent

Cañizares, Claudio A.

126

Battery Model for Embedded Systems , Gaurav Singhal  

E-Print Network (OSTI)

Battery Model for Embedded Systems Venkat Rao , Gaurav Singhal , Anshul Kumar , Nicolas Navet.iitd.ernet.in, nnavet@loria.fr Abstract This paper explores the recovery and rate capacity ef- fect for batteries used in embedded systems. It describes the prominent battery models with their advantages and draw- backs

Navet, Nicolas

127

A model for international border management systems.  

SciTech Connect

To effectively manage the security or control of its borders, a country must understand its border management activities as a system. Using its systems engineering and security foundations as a Department of Energy National Security Laboratory, Sandia National Laboratories has developed such an approach to modeling and analyzing border management systems. This paper describes the basic model and its elements developed under Laboratory Directed Research and Development project 08-684.

Duggan, Ruth Ann

2008-09-01T23:59:59.000Z

128

Human performance modeling for system of systems analytics.  

Science Conference Proceedings (OSTI)

A Laboratory-Directed Research and Development project was initiated in 2005 to investigate Human Performance Modeling in a System of Systems analytic environment. SAND2006-6569 and SAND2006-7911 document interim results from this effort; this report documents the final results. The problem is difficult because of the number of humans involved in a System of Systems environment and the generally poorly defined nature of the tasks that each human must perform. A two-pronged strategy was followed: one prong was to develop human models using a probability-based method similar to that first developed for relatively well-understood probability based performance modeling; another prong was to investigate more state-of-art human cognition models. The probability-based modeling resulted in a comprehensive addition of human-modeling capability to the existing SoSAT computer program. The cognitive modeling resulted in an increased understanding of what is necessary to incorporate cognition-based models to a System of Systems analytic environment.

Dixon, Kevin R.; Lawton, Craig R.; Basilico, Justin Derrick; Longsine, Dennis E. (INTERA, Inc., Austin, TX); Forsythe, James Chris; Gauthier, John Henry; Le, Hai D.

2008-10-01T23:59:59.000Z

129

Bond Graph Modeling Of Variable Structure Systems  

E-Print Network (OSTI)

The problem of describing variable structure models in a compact, object--oriented fashion is revisited and analyzed from the perspective of bond graph modeling. Traditionally, bond graphs have always been used to describe continuous-- time physical processes with a fixed structure. Yet, this paper shall demonstrate that bond graphs are equally suitable to describe variable structure models as fixed structure models. Moreover, a bond graph description of variable structure models can teach us a lot about the essential properties of variable structure models, properties that are not easily visible when other modeling approaches are taken. The paper discusses issues related to causality reassignment and conditional index changes as a consequence of switching in a physical system. Keywords: Bond graphs, variable structure system, computational causality, conditional index change, switching, object--oriented modeling, Dymola. INTRODUCTION When the causality strokes were added to the forme...

François E. Cellier; Martin Otter; Hilding Elmqvist

1995-01-01T23:59:59.000Z

130

Object-Oriented Modeling Of Hybrid Systems  

E-Print Network (OSTI)

A new methodology for the object--oriented description of models consisting of a mixture of continuous and discrete components is presented. The object--oriented paradigm enables the user to describe such models in a modular fashion that permits the reuse of these models independently of the environment in which they are to be embedded. The paper explains the basic mechanisms needed for object--oriented modeling of hybrid systems by means of language constructs available in the object--oriented modeling language Dymola. It then addresses more advanced concepts such as variable structure models containing e.g. ideal electrical switches, ideal diodes and dry friction.

Hilding Elmqvist; Francois E. Cellier; Martin Otter

1993-01-01T23:59:59.000Z

131

On Modelling Train Traffic in a Model Train System  

E-Print Network (OSTI)

The paper describes the design of a coloured Petri net model for a rather complex model train system. The purpose of this system is to teach graduate CS students net modelling and analysis techniques, and the systematic concersion of non--trivial net models into fully operational real systems. The track layout of this system currently includes three main cyclic tracks, each subdivided into several sections, three switchyards of several sidings, and also interconnecting tracks via which trains may change main tracks and directions. The idea is to equip each of several trains - currently up to ten - with its own travel plan. It specifies a sequence of tracks through which the train must be routed in the given order. Execution of these plans must be dynamically coordinated based on locally made decisions about the allocation of track sections to requesting trains so that essential safety and liveness properties are met. The paper first introduces the basic net components necessary to mod...

Wolfgang Hielscher; Lars Urbszat; Claus Reinke; Werner Kluge

1998-01-01T23:59:59.000Z

132

Power-Invariant Magnetic System Modeling  

E-Print Network (OSTI)

In all energy systems, the parameters necessary to calculate power are the same in functionality: an effort or force needed to create a movement in an object and a flow or rate at which the object moves. Therefore, the power equation can generalized as a function of these two parameters: effort and flow, P = effort * flow. Analyzing various power transfer media this is true for at least three regimes: electrical, mechanical and hydraulic but not for magnetic. This implies that the conventional magnetic system model (the reluctance model) requires modifications in order to be consistent with other energy system models. Even further, performing a comprehensive comparison among the systems, each system's model includes an effort quantity, a flow quantity and three passive elements used to establish the amount of energy that is stored or dissipated as heat. After evaluating each one of them, it was clear that the conventional magnetic model did not follow the same pattern: the reluctance, as analogous to the electric resistance, should be a dissipative element instead it is an energy storage element. Furthermore, the two other elements are not defined. This difference has initiated a reevaluation of the conventional magnetic model. In this dissertation the fundamentals on electromagnetism and magnetic materials that supports the modifications proposed to the magnetic model are presented. Conceptual tests to a case study system were performed in order to figure out the network configuration that better represents its real behavior. Furthermore, analytical and numerical techniques were developed in MATLAB and Simulink in order to validate our model. Finally, the feasibility of a novel concept denominated magnetic transmission line was developed. This concept was introduced as an alternative to transmit power. In this case, the media of transport was a magnetic material. The richness of the power-invariant magnetic model and its similarities with the electric model enlighten us to apply concepts and calculation techniques new to the magnetic regime but common to the electric one, such as, net power, power factor, and efficiency, in order to evaluate the power transmission capabilities of a magnetic system. The fundamental contribution of this research is that it presents an alternative to model magnetic systems using a simpler, more physical approach. As the model is standard to other systems' models it allows the engineer or researcher to perform analogies among systems in order to gather insights and a clearer understanding of magnetic systems which up to now has been very complex and theoretical.

Gonzalez Dominguez, Guadalupe Giselle

2011-08-01T23:59:59.000Z

133

Maui Electrical System Model Development  

E-Print Network (OSTI)

.2.3.2 Load Profile 9 2.2.3.3 Wind Profile 9 2.2.3.4 Initial Commitment and Dispatch 10 2.2.3.5 Generic Energy.1.2 Independent Power Producers 2 2.1.3 Load Demand 2 2.2 Dynamics 4 2.2.1 Load Flow 4 2.2.1.1 Database Conversion 5 2.2.2.2 Governor/Turbine Models 5 2.2.2.3 Wind Farms 7 2.2.2.4 Dynamic Load Characteristic 7 2

134

EIA - The National Energy Modeling System: An Overview 2003-Appendix...  

Annual Energy Outlook 2012 (EIA)

Appendix: Bibliography The National Energy Modeling System: An Overview 2003 Appendix: Bibliography The National Energy Modeling System is documented in a series of model...

135

A scalable methodology for modeling cities as systems of systems  

E-Print Network (OSTI)

As cities evolve in size and complexity, their component systems become more interconnected. Comprehensive modeling and simulation is needed to capture interactions and correctly assess the impact of changes. This thesis ...

Wachtel, Amanda M. (Amanda Marie)

2013-01-01T23:59:59.000Z

136

Bond graph modeling of centrifugal compressor system  

E-Print Network (OSTI)

system, active surge control. A novel method of modeling centrifugal compression systems for surge control purposes by using bond graphs is presented. By using the bond graph method, we get a simple description of compression systems based on physical phenomena and it is straight forward to get the dynamic equations. It is demonstrated that several active surge control methods can be represented by the same bond graph. It is also shown how methods for active surge control can be classified using energy flow in terms of upstream energy injection or downstream energy dissipation. A model of a compression system with recycle flow is derived in this work. 1.

Nur Uddin; Jan Tommy Gravdahl

2012-01-01T23:59:59.000Z

137

A Dynamical Systems Model for Language Change  

E-Print Network (OSTI)

Formalizing linguists' intuitions of language change as a dynamical system, we quantify the time course of language change including sudden vs. gradual changes in languages. We apply the computer model to the historical ...

Niyogi, Partha

1995-12-01T23:59:59.000Z

138

The Community Climate System Model, Version 2  

Science Conference Proceedings (OSTI)

The Community Climate System Model, version 2 (CCSM2) is briefly described. A 1000-yr control simulation of the present day climate has been completed without flux adjustments. Minor modifications were made at year 350, which included all five ...

Jeffrey T. Kiehl; Peter R. Gent

2004-10-01T23:59:59.000Z

139

The Community Climate System Model Version 4  

Science Conference Proceedings (OSTI)

The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all CCSM components, and documents fully coupled preindustrial control runs ...

Peter R. Gent; Gokhan Danabasoglu; Leo J. Donner; Marika M. Holland; Elizabeth C. Hunke; Steve R. Jayne; David M. Lawrence; Richard B. Neale; Philip J. Rasch; Mariana Vertenstein; Patrick H. Worley; Zong-Liang Yang; Minghua Zhang

2011-10-01T23:59:59.000Z

140

Jobs and Economic Development Impact (JEDI) Model: Offshore Wind User Reference Guide  

DOE Green Energy (OSTI)

The Offshore Wind Jobs and Economic Development Impact (JEDI) model, developed by NREL and MRG & Associates, is a spreadsheet based input-output tool. JEDI is meant to be a user friendly and transparent tool to estimate potential economic impacts supported by the development and operation of offshore wind projects. This guide describes how to use the model as well as technical information such as methodology, limitations, and data sources.

Lantz, E.; Goldberg, M.; Keyser, D.

2013-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

The National Energy Modeling System: An overview  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.

Not Available

1994-05-01T23:59:59.000Z

142

Randomized Model Predictive Control for HVAC Systems  

Science Conference Proceedings (OSTI)

Heating, Ventilation and Air Conditioning (HVAC) systems play a fundamental role in maintaining acceptable thermal comfort and Indoor Air Quality (IAQ) levels, essentials for occupants well-being. Since performing this task implies high energy requirements, ... Keywords: Copulas, Learning, Randomized Model Predictive Control, Smart Buildings, Sustainable Control Systems

Alessandra Parisio, Damiano Varagnolo, Daniel Risberg, Giorgio Pattarello, Marco Molinari, Karl H. Johansson

2013-11-01T23:59:59.000Z

143

MODELING SECURITY IN CYBER-PHYSICAL SYSTEMS  

E-Print Network (OSTI)

network at the Davis-Besse nuclear power plant in Oak Harbor, Ohio, was infected [39]. There have been-physical systems, threat models, protocols for treaty verification. 1. Introduction The rapid growth of information) sys- tems that monitor power, gas/oil transportation, water and waste-water distribution. Such systems

Burmester, Mike

144

Power electronics system modeling and simulation  

SciTech Connect

This paper introduces control system design based softwares, SIMNON and MATLAB/SIMULINK, for power electronics system simulation. A complete power electronics system typically consists of a rectifier bridge along with its smoothing capacitor, an inverter, and a motor. The system components, featuring discrete or continuous, linear or nonlinear, are modeled in mathematical equations. Inverter control methods,such as pulse-width-modulation and hysteresis current control, are expressed in either computer algorithms or digital circuits. After describing component models and control methods, computer programs are then developed for complete systems simulation. Simulation results are mainly used for studying system performances, such as input and output current harmonics, torque ripples, and speed responses. Key computer programs and simulation results are demonstrated for educational purposes.

Lai, Jih-Sheng

1994-12-31T23:59:59.000Z

145

Summary of photovoltaic system performance models  

DOE Green Energy (OSTI)

The purpose of this study is to provide a detailed overview of photovoltaics (PV) performance modeling capabilities that have been developed during recent years for analyzing PV system and component design and policy issues. A set of 10 performance models have been selected which span a representative range of capabilities from generalized first-order calculations to highly specialized electrical network simulations. A set of performance modeling topics and characteristics is defined and used to examine some of the major issues associated with photovoltaic performance modeling. Next, each of the models is described in the context of these topics and characteristics to assess its purpose, approach, and level of detail. Then each of the issues is discussed in terms of the range of model capabilities available and summarized in tabular form for quick reference. Finally, the models are grouped into categories to illustrate their purposes and perspectives.

Smith, J. H.; Reiter, L. J.

1984-01-15T23:59:59.000Z

146

Classification of parameter changes in a dynamic system with the use of wavelet analysis and neural networks  

Science Conference Proceedings (OSTI)

In this paper a neural detector of internal parameter changes in a stationary, non-linear SISO dynamic system is considered. A dynamic system is usually described by an input-output relation or by a set of state equations. Each change of parameter values ... Keywords: Detection of current states of a dynamic system, Discrete wavelet decomposition, Kohonen network, LVQ neural classifier, Time-frequency transforms, Vector quantisation

Ewa Swiercz

2012-03-01T23:59:59.000Z

147

Hot Water Distribution System Model Enhancements  

Science Conference Proceedings (OSTI)

This project involves enhancement of the HWSIM distribution system model to more accurately model pipe heat transfer. Recent laboratory testing efforts have indicated that the modeling of radiant heat transfer effects is needed to accurately characterize piping heat loss. An analytical methodology for integrating radiant heat transfer was implemented with HWSIM. Laboratory test data collected in another project was then used to validate the model for a variety of uninsulated and insulated pipe cases (copper, PEX, and CPVC). Results appear favorable, with typical deviations from lab results less than 8%.

Hoeschele, M.; Weitzel, E.

2012-11-01T23:59:59.000Z

148

National Energy Modeling System: An Overview  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Distribution Category UC-950 The National Energy Modeling System: An Overview March 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. PREFACE The National Energy Modeling System: An Overview (Overview) provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2015 for the Annual Energy Outlook 1996 (AEO96), (DOE/EIA- 0383(96)), released in January

149

Modeling leaks from liquid hydrogen storage systems.  

DOE Green Energy (OSTI)

This report documents a series of models for describing intended and unintended discharges from liquid hydrogen storage systems. Typically these systems store hydrogen in the saturated state at approximately five to ten atmospheres. Some of models discussed here are equilibrium-based models that make use of the NIST thermodynamic models to specify the states of multiphase hydrogen and air-hydrogen mixtures. Two types of discharges are considered: slow leaks where hydrogen enters the ambient at atmospheric pressure and fast leaks where the hydrogen flow is usually choked and expands into the ambient through an underexpanded jet. In order to avoid the complexities of supersonic flow, a single Mach disk model is proposed for fast leaks that are choked. The velocity and state of hydrogen downstream of the Mach disk leads to a more tractable subsonic boundary condition. However, the hydrogen temperature exiting all leaks (fast or slow, from saturated liquid or saturated vapor) is approximately 20.4 K. At these temperatures, any entrained air would likely condense or even freeze leading to an air-hydrogen mixture that cannot be characterized by the REFPROP subroutines. For this reason a plug flow entrainment model is proposed to treat a short zone of initial entrainment and heating. The model predicts the quantity of entrained air required to bring the air-hydrogen mixture to a temperature of approximately 65 K at one atmosphere. At this temperature the mixture can be treated as a mixture of ideal gases and is much more amenable to modeling with Gaussian entrainment models and CFD codes. A Gaussian entrainment model is formulated to predict the trajectory and properties of a cold hydrogen jet leaking into ambient air. The model shows that similarity between two jets depends on the densimetric Froude number, density ratio and initial hydrogen concentration.

Winters, William Stanley, Jr.

2009-01-01T23:59:59.000Z

150

Thermodynamic Modeling of a Membrane Dehumidification System  

E-Print Network (OSTI)

In warm and humid climates, a primary source of building energy consumption is dehumidification of conditioned air supplied to the building spaces. The proposed system utilizes a selective membrane to remove water vapor from ambient air as opposed to a vapor compression cycle or a desiccant. This work provides an analysis of the membrane dehumidification system with a focus on the energy performance of the system. A system performance goal was set at the beginning for a given inlet and outlet ambient air condition and a total cooling load of one ton. The target COP of the combined sensible and latent cooling is 3.58 with a target value for only the latent system of 3.34. Two different simulations were developed including an initial simulation which uses a basic mass transfer model and a simpler condenser model. The initial model was used to develop the system, analyze operating parameters and provide initial performance results. The initial simulations indicate that the system requires two optimizations to meet the target performance: condenser pressure optimization and the use of multiple membrane segments operating at different pressures. The latent only COP including the optimizations was a maximum of 4.23. A second model was then developed which uses a more detailed mass transfer model and a more detailed condenser model based on the operating conditions. This simulation yielded a maximum latent only COP of 4.37 including the optimizations. The work also analyzes two different combined systems capable of providing both sensible and latent cooling. The first utilizes a conventional vapor compression cycle for sensible cooling and has a maximum COP of 3.93. The second uses multiple evaporative coolers in between multiple membrane dehumidification steps and was found to have a maximum COP of 3.73. Second law analysis of the systems was also conducted and found that the greatest reduction in latent system exergy loss can be obtained by improving the selectivity of the membrane. Apart from improving the membrane selectivity, the results show the greatest improvement can be found in improving the operation of the gas compression devices.

Bynum, John 1983-

2012-12-01T23:59:59.000Z

151

Event Model Interfaces for Heterogeneous System Analysis  

E-Print Network (OSTI)

Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. The embedded system designer faces the challenge to integrate, optimize and verify the resulting heterogeneous systems. While formal verification is available for some subproblems, the analysis of the whole system is currently limited to simulation or emulation. In this paper, we tackle the analysis of global resource sharing, scheduling, and buffer sizing in heterogeneous embedded systems. For many practically used preemptive and non-preemptive hardware and software scheduling algorithms of processors and busses, semi-formal analysis techniques are known. However, they cannot be used in system level analysis due to incompatibilities of their underlying event models. This paper presents a technique to couple the analysis of local scheduling strategies via an event interface model. We derive transformation rules between the most important event models and provide proofs where necessary. We use expressive examples to illustrate their application.

Kai Richter; Rolf Ernst

2002-01-01T23:59:59.000Z

152

Numerical modeling of liquid geothermal systems  

DOE Green Energy (OSTI)

A mathematical model describing the physical behavior of hot-water geothermal systems is presented. The model consists of a set of coupled partial differential equations for heat and mass transfer in porous media and an equation of state relating fluid density to temperature and pressure. The equations are solved numerically using an integrated finite difference method which can treat arbitrary nodal configurations in one, two, or three dimensions. The model is used to analyze cellular convection in permeable rock layers heated from below. Results for cases with constant fluid and rock properties are in good agreement with numerical and experimental results from other authors.

Sorey, M.L.

1978-01-01T23:59:59.000Z

153

Comparison of Building Energy Modeling Programs: HVAC Systems  

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

Modeling Programs: HVAC Systems Title Comparison of Building Energy Modeling Programs: HVAC Systems Publication Type Report LBNL Report Number LBNL-6432E Year of Publication 2013...

154

DOE Hydrogen Analysis Repository: Automotive System Cost Model...  

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

Automotive System Cost Model (ASCM) Project Summary Full Title: Automotive System Cost Model (ASCM) Project ID: 118 Principal Investigator: Sujit Das Purpose Estimate current and...

155

Combustion modeling in advanced gas turbine systems  

DOE Green Energy (OSTI)

Goal of DOE`s Advanced Turbine Systems program is to develop and commercialize ultra-high efficiency, environmentally superior, cost competitive gas turbine systems for base-load applications in utility, independent power producer, and industrial markets. Primary objective of the program here is to develop a comprehensive combustion model for advanced gas turbine combustion systems using natural gas (coal gasification or biomass fuels). The efforts included code evaluation (PCGC-3), coherent anti-Stokes Raman spectroscopy, laser Doppler anemometry, and laser-induced fluorescence.

Smoot, L.D.; Hedman, P.O.; Fletcher, T.H.; Brewster, B.S.; Kramer, S.K. [Brigham Young Univ., Provo, UT (United States). Advanced Combustion Engineering Research Center

1995-12-31T23:59:59.000Z

156

Systems modelling for effective mine water management  

Science Conference Proceedings (OSTI)

Concerns about the difficulties in securing water have led the Australian coal mining industry to seek innovative ways to improve its water management and to adopt novel strategies that will lead to less water being used and more water being reused. ... Keywords: Mining, Sustainable development, Systems model, Water balance, Water resources management

Claire M. Côte; Chris J. Moran; Christopher J. Hedemann; Christian Koch

2010-12-01T23:59:59.000Z

157

Gas Centrifuge Enrichment Plant Safeguards System Modeling  

SciTech Connect

The U.S. Department of Energy (DOE) is interested in developing tools and methods for potential U.S. use in designing and evaluating safeguards systems used in enrichment facilities. This research focuses on analyzing the effectiveness of the safeguards in protecting against the range of safeguards concerns for enrichment plants, including diversion of attractive material and unauthorized modes of use. We developed an Extend simulation model for a generic medium-sized centrifuge enrichment plant. We modeled the material flow in normal operation, plant operational upset modes, and selected diversion scenarios, for selected safeguards systems. Simulation modeling is used to analyze both authorized and unauthorized use of a plant and the flow of safeguards information. Simulation tracks the movement of materials and isotopes, identifies the signatures of unauthorized use, tracks the flow and compilation of safeguards data, and evaluates the effectiveness of the safeguards system in detecting misuse signatures. The simulation model developed could be of use to the International Atomic Energy Agency IAEA, enabling the IAEA to observe and draw conclusions that uranium enrichment facilities are being used only within authorized limits for peaceful uses of nuclear energy. It will evaluate improved approaches to nonproliferation concerns, facilitating deployment of enhanced and cost-effective safeguards systems for an important part of the nuclear power fuel cycle.

Elayat, H A; O'Connell, W J; Boyer, B D

2006-06-05T23:59:59.000Z

158

Wind Farm Power System Model Development: Preprint  

DOE Green Energy (OSTI)

In some areas, wind power has reached a level where it begins to impact grid operation and the stability of local utilities. In this paper, the model development for a large wind farm will be presented. Wind farm dynamic behavior and contribution to stability during transmission system faults will be examined.

Muljadi, E.; Butterfield, C. P.

2004-07-01T23:59:59.000Z

159

Oak Ridge Evacuation Modeling System.pub  

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

Evacuation Modeling Evacuation Modeling System (OREMS) Research Brief Oak Ridge National Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he vulnerability of communities to terrorist inflicted damage at facilities such as dams, power plants, or oil/gas distribution facilities, and others, is partly determined by the ability to avoid impacts. OREMS, or the Oak Ridge Evacuation Modeling System, is a Windows- based software program designed to analyze and evaluate large-scale vehicular emergency evacuations, conduct evacuation time estimation studies, and develop evacuation

160

Modeling Power System Operation with Intermittent Resources  

Science Conference Proceedings (OSTI)

Electricity generating companies and power system operators face the need to minimize total fuel cost or maximize total profit over a given time period. These issues become optimization problems subject to a large number of constraints that must be satisfied simultaneously. The grid updates due to smart-grid technologies plus the penetration of intermittent re- sources in electrical grid introduce additional complexity to the optimization problem. The Renewable Integration Model (RIM) is a computer model of interconnected power system. It is intended to provide insight and advice on complex power systems management, as well as answers to integration of renewable energy questions. This paper describes RIM basic design concept, solution method, and the initial suite of modules that it supports.

Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.

2013-02-27T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Application of Functional Link Neural Network to HVAC Thermal Dynamic System Identification  

E-Print Network (OSTI)

Abstract — Recent efforts to incorporate aspects of artificial intelligence into the design and operation of automatic control systems have focused attention on techniques such as fuzzy logic, artificial neural networks, and expert systems. The use of computers for direct digital control highlights the recent trend toward more effective and efficient heating, ventilating, and airconditioning (HVAC) control methodologies. Researchers in the HVAC field have stressed the importance of self learning in building control systems and have encouraged further studies in the integration of optimal control and other advanced techniques into the formulation of such systems. Artificial neural networks can also be used to emulate the plant dynamics, in order to estimate future plant outputs and obtain plant input/output sensitivity information for on-line neural control adaptation. This paper describes a functional link neural network approach to performing the HVAC thermal dynamic system identification. Methodologies to reduce inputs of the functional link network to reduce the complexity and speed up the training speed will be presented. Analysis and comparison between the functional link network approach and the conventional network approach for the HVAC thermal modeling will also be presented. Index Terms—Functional link, HVAC, intelligent control, neural network, system identification.

Jason Teeter; Mo-yuen Chow; Senior Member

1998-01-01T23:59:59.000Z

162

On the Information Loss in Static Systems  

E-Print Network (OSTI)

In this work we give a concise definition of information loss from a system-theoretic point of view. Based on this definition, we analyze the information loss in static input-output systems subject to a continuous-valued input. For a certain class of multiple-input, multiple-output systems the information loss is quantified. An interpretation of this loss is accompanied by upper bounds which are simple to evaluate. Finally, a class of systems is identified for which the information loss is necessarily infinite. Quantizers and limiters are shown to belong to this class.

Geiger, Bernhard C

2011-01-01T23:59:59.000Z

163

Stochastic Battery Model for Embedded Systems  

E-Print Network (OSTI)

This paper explores the recovery and rate capacity effect for batteries used in embedded systems. It describes the prominent battery models with their advantages and drawbacks. It then throws new light on the battery recovery behavior, which can help determine optimum discharge profiles and hence result in significant improvement in battery lifetime. Finally it proposes a fast and accurate stochastic model which draws the positives from the earlier models and minimizes the drawbacks. The parameters for this model are determined by a pretest, which takes into account the newfound background into recovery and rate capacity hence resulting in higher accuracy. Simulations conducted suggest close correspondence with experimental results and a maximum error of 2.65 %. 1.

Venkat Rao; Gaurav Singhal; Anshul Kumar; Nicolas Navet

2004-01-01T23:59:59.000Z

164

Modelling Complex Fenestration Systems using physical and virtual models  

Science Conference Proceedings (OSTI)

Physical or virtual models are commonly used to visualize the conceptual ideas of architects, lighting designers and researchers; they are also employed to assess the daylighting performance of buildings, particularly in cases where Complex Fenestration Systems (CFS) are considered. Recent studies have however revealed a general tendency of physical models to over-estimate this performance, compared to those of real buildings; these discrepancies can be attributed to several reasons. In order to identify the main error sources, a series of comparisons in-between a real building (a single office room within a test module) and the corresponding physical and virtual models was undertaken. The physical model was placed in outdoor conditions, which were strictly identical to those of the real building, as well as underneath a scanning sky simulator. The virtual model simulations were carried out by way of the Radiance program using the GenSky function; an alternative evaluation method, named Partial Daylight Factor method (PDF method), was also employed with the physical model together with sky luminance distributions acquired by a digital sky scanner during the monitoring of the real building. The overall daylighting performance of physical and virtual models were assessed and compared. The causes of discrepancies between the daylighting performance of the real building and the models were analysed. The main identified sources of errors are the reproduction of building details, the CFS modelling and the mocking-up of the geometrical and photometrical properties. To study the impact of these errors on daylighting performance assessment, computer simulation models created using the Radiance program were also used to carry out a sensitivity analysis of modelling errors. The study of the models showed that large discrepancies can occur in daylighting performance assessment. In case of improper mocking-up of the glazing for instance, relative divergences of 25-40% can be found in different room locations, suggesting that more light is entering than actually monitored in the real building. All these discrepancies can however be reduced by making an effort to carefully mock up the geometry and photometry of the real building. A synthesis is presented in this article which can be used as guidelines for daylighting designers to avoid or estimate errors during CFS daylighting performance assessment. (author)

Thanachareonkit, Anothai; Scartezzini, Jean-Louis [Solar Energy and Building Physics Laboratory (LESO-PB), Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne (Switzerland)

2010-04-15T23:59:59.000Z

165

Modeling and prediction of nonlinear environmental system using Bayesian methods  

Science Conference Proceedings (OSTI)

An environmental dynamic system is usually modeled as a nonlinear system described by a set of nonlinear ODEs. A central challenge in computational modeling of environmental systems is the determination of the model parameters. In these cases, estimating ... Keywords: Extended Kalman filter, Leaf area index and soil moisture model, Nonlinear environmental system, Particle filter, State and parameter estimation, Variational filter

Majdi Mansouri; Benjamin Dumont; Marie-France Destain

2013-03-01T23:59:59.000Z

166

A systems model of the thickness mode piezoelectric transducer  

Science Conference Proceedings (OSTI)

A new model for piezoelectricultrasonic transducers is proposed. Using a systems engineering approach

G. Hayward; C. J. MacLeod; T. S. Durrani

1984-01-01T23:59:59.000Z

167

Modeling needs for very large systems.  

Science Conference Proceedings (OSTI)

Most system performance models assume a point measurement for irradiance and that, except for the impact of shading from nearby obstacles, incident irradiance is uniform across the array. Module temperature is also assumed to be uniform across the array. For small arrays and hourly-averaged simulations, this may be a reasonable assumption. Stein is conducting research to characterize variability in large systems and to develop models that can better accommodate large system factors. In large, multi-MW arrays, passing clouds may block sunlight from a portion of the array but never affect another portion. Figure 22 shows that two irradiance measurements at opposite ends of a multi-MW PV plant appear to have similar irradiance (left), but in fact the irradiance is not always the same (right). Module temperature may also vary across the array, with modules on the edges being cooler because they have greater wind exposure. Large arrays will also have long wire runs and will be subject to associated losses. Soiling patterns may also vary, with modules closer to the source of soiling, such as an agricultural field, receiving more dust load. One of the primary concerns associated with this effort is how to work with integrators to gain access to better and more comprehensive data for model development and validation.

Stein, Joshua S.

2010-10-01T23:59:59.000Z

168

World Energy Projection System model documentation  

SciTech Connect

The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

Hutzler, M.J.; Anderson, A.T.

1997-09-01T23:59:59.000Z

169

A branching fuzzy-logic classifier for building optimization  

E-Print Network (OSTI)

We present an input-output model that learns to emulate a complex building simulation of high dimensionality. Many multi-dimensional systems are dominated by the behavior of a small number of inputs over a limited range ...

Lehar, Matthew A., 1977-

2005-01-01T23:59:59.000Z

170

Translating timed I/O automata specifications for theorem proving in PVs  

E-Print Network (OSTI)

The timed input/output automaton modeling framework is a mathematical framework for specification and analysis of systems that involve discrete and continuous evolution. In order to employ an interactive theorem prover in ...

Lim, Hongping

2006-01-01T23:59:59.000Z

171

From Formal Methods to Executable Code  

E-Print Network (OSTI)

The objective of this work is the derivation of software that is verifiably correct. Our approach is to abstract system specifications and model these in a formal framework called Timed Input/Output Automata, which provides ...

Musial, Peter M.

2012-08-27T23:59:59.000Z

172

Modeling and analysis of energy conversion systems  

DOE Green Energy (OSTI)

An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.

Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1990-10-01T23:59:59.000Z

173

Analytical steam injection model for layered systems  

SciTech Connect

Screening, evaluation and optimization of the steam flooding process in homogeneous reservoirs can be performed by using simple analytical predictive models. In the absence of any analytical model for layered reservoirs, at present, only numerical simulators can be used. And these are expensive. In this study, an analytical model has been developed considering two isolated layers of differing permeabilities. The principle of equal flow potential is applied across the two layers. Gajdica`s (1990) single layer linear steam drive model is extended for the layered system. The formulation accounts for variation of heat loss area in the higher permeability layer, and the development of a hot liquid zone in the lower permeability layer. These calculations also account for effects of viscosity, density, fractional flow curves and pressure drops in the hot liquid zone. Steam injection rate variations in the layers are represented by time weighted average rates. For steam zone calculations, Yortsos and Gavalas`s (1981) upper bound method is used with a correction factor. The results of the model are compared with a numerical simulator. Comparable oil and water flow rates, and breakthrough times were achieved for 100 cp oil. Results with 10 cp and 1000 cp oils indicate the need to improve the formulation to properly handle differing oil viscosities.

Abdual-Razzaq; Brigham, W.E.; Castanier, L.M.

1993-08-01T23:59:59.000Z

174

Industrial Demand Module 1999, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

1999-01-01T23:59:59.000Z

175

Industrial Demand Module 2005, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2005-05-01T23:59:59.000Z

176

Industrial Demand Module 2006, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2006-07-01T23:59:59.000Z

177

Industrial Demand Module 2009, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2009-05-20T23:59:59.000Z

178

Industrial Demand Module 2003, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2003-12-01T23:59:59.000Z

179

Industrial Demand Module 2007, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2007-03-21T23:59:59.000Z

180

Industrial Demand Module 2002, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2001-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Industrial Demand Module 2001, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2000-12-01T23:59:59.000Z

182

Industrial Demand Module 2008, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. C. Honeycutt

2008-06-01T23:59:59.000Z

183

Industrial Demand Module 2000, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2000-01-01T23:59:59.000Z

184

Industrial Demand Module 2004, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2004-02-01T23:59:59.000Z

185

Modeling and Verification of Reactive Systems using Rebeca  

Science Conference Proceedings (OSTI)

Actor-based modeling has been successfully applied to the representation of concurrent and distributed systems. Besides having an appropriate and efficient way for modeling these systems, one needs a formal verification approach for ensuring their correctness. ... Keywords: actor model, compositional verification, model checking, property preserving abstraction, reactive systems

Marjan Sirjani; Ali Movaghar; Amin Shali; Frank S. de Boer

2004-12-01T23:59:59.000Z

186

Performance model assessment for multi-junction concentrating photovoltaic systems.  

DOE Green Energy (OSTI)

Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement.

Riley, Daniel M.; McConnell, Robert. (Amonix, Inc., Seal Beach, CA); Sahm, Aaron (University of Nevada, Las Vegas, NV); Crawford, Clark (Amonix, Inc., Seal Beach, CA); King, David L.; Cameron, Christopher P.; Foresi, James S. (Emcore, Inc., Albuquerque, NM)

2010-03-01T23:59:59.000Z

187

Fractional models for modeling complex linear systems under poor frequency resolution measurements  

Science Conference Proceedings (OSTI)

When modeling a linear system in a parametric way, one needs to deal with (i) model structure selection, (ii) model order selection as well as (iii) an accurate fit of the model. The most popular model structure for linear systems has a rational form ... Keywords: Continuous-time modeling, Fractional order systems, Linear systems, Non-asymptotic, Nonlinear least squares, Parametric models, Poor frequency resolutions, Statistical signal processing, Transfer function

Kurt Barbé, Oscar J. Olarte Rodriguez, Wendy Van Moer, Lieve Lauwers

2013-07-01T23:59:59.000Z

188

Models of National Energy Systems -focusing on biomass energy  

E-Print Network (OSTI)

Models of National Energy Systems - focusing on biomass energy Poul Erik Grohnheit Systems Analysis models · International development of large energy models · Biomass energy · Upstream expansion of the Pan European model for biomass and crops · Basic elements in a crop model for Denmark· Basic elements

189

Comparative Evaluation of Generalized River/Reservoir System Models  

E-Print Network (OSTI)

This report reviews user-oriented generalized reservoir/river system models. The terms reservoir/river system, reservoir system, reservoir operation, or river basin management "model" or "modeling system" are used synonymously to refer to computer modeling systems that simulate the storage, flow, and diversion of water in a system of reservoirs and river reaches. Generalized means that a computer modeling system is designed for application to a range of concerns dealing with river basin systems of various configurations and locations, rather than being site-specific customized to a particular system. User-oriented implies the modeling system is designed for use by professional practitioners (model-users) other than the original model developers and is thoroughly tested and well documented. User-oriented generalized modeling systems should be convenient to obtain, understand, and use and should work correctly, completely, and efficiently. Modeling applications often involve a system of several simulation models, utility software products, and databases used in combination. A reservoir/river system model is itself a modeling system, which often serves as a component of a larger modeling system that may include watershed hydrology and river hydraulics models, water quality models, databases and various software tools for managing time series, spatial, and other types of data. Reservoir/river system models are based on volume-balance accounting procedures for tracking the movement of water through a system of reservoirs and river reaches. The model computes reservoir storage contents, evaporation, water supply withdrawals, hydroelectric energy generation, and river flows for specified system operating rules and input sequences of stream inflows and net evaporation rates. The hydrologic period-of-analysis and computational time step may vary greatly depending on the application. Storage and flow hydrograph ordinates for a flood event occurring over a few days may be determined at intervals of an hour or less. Water supply capabilities may be modeled with a monthly time step and several decade long period-of-analysis capturing the full range of fluctuating wet and dry periods including extended drought. Stream inflows are usually generated outside of the reservoir/river system model and provided as input to the model. However, reservoir/river system models may also include capabilities for modeling watershed precipitation-runoff processes to generate inflows to the river/reservoir system. Some reservoir/river system models simulate water quality constituents along with water quantities. Some models include features for economic evaluation of system performance based on cost and benefit functions expressed as a function of flow and storage.

Wurbs, Ralph A.

2005-04-01T23:59:59.000Z

190

National Energy Modeling System (United States) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (United States) National Energy Modeling System (United States) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (United States) Focus Area: Biomass Topics: Policy, Deployment, & Program Impact Website: www.eia.gov/oiaf/aeo/overview/ Equivalent URI: cleanenergysolutions.org/content/national-energy-modeling-system-unite Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Technical Assistance Regulations: Utility/Electricity Service Costs The National Energy Modeling System (NEMS) is a computer-based, energy-economy modelling system of the United States through 2030. NEMS

191

International Energy Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

International Energy Module of the National Energy Modeling System Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov

192

Availability of the National Energy Modeling System (NEMS) Archive.  

U.S. Energy Information Administration (EIA)

Availability of the National Energy Modeling System (NEMS) Archive. NEMS has been developed primarily for use by the modelers at Energy Information

193

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

194

Commercial Demand Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Commercial Demand Module of the National Energy Modeling System: Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov

195

Intelligent Control via Wireless Sensor Networks for Advanced Coal Combustion Systems  

SciTech Connect

Numerical Modeling of Solid Gas Flow, System Identification for purposes of modeling and control, and Wireless Sensor and Actor Network design were pursued as part of this project. Time series input-output data was obtained from NETL's Morgantown CFB facility courtesy of Dr. Lawrence Shadle. It was run through a nonlinear kernel estimator and nonparametric models were obtained for the system. Linear and first-order nonlinear kernels were then utilized to obtain a state-space description of the system. Neural networks were trained that performed better at capturing the plant dynamics. It is possible to use these networks to find a plant model and the inversion of this model can be used to control the system. These models allow one to compare with physics based models whose parameters can then be determined by comparing them against the available data based model. On a parallel track, Dr. Kumar designed an energy-efficient and reliable transport protocol for wireless sensor and actor networks, where the sensors could be different types of wireless sensors used in CFB based coal combustion systems and actors are more powerful wireless nodes to set up a communication network while avoiding the data congestion. Dr. Ahmadi's group studied gas solid flow in a duct. It was seen that particle concentration clearly shows a preferential distribution. The particles strongly interact with the turbulence eddies and are concentrated in narrow bands that are evolving with time. It is believed that observed preferential concentration is due to the fact that these particles are flung out of eddies by centrifugal force.

Aman Behal; Sunil Kumar; Goodarz Ahmadi

2007-08-05T23:59:59.000Z

196

Parallel file system measurement and modeling using colored petri nets  

Science Conference Proceedings (OSTI)

Parallel file systems are significant challenges for high performance data-intensive system designers due to their complexity. Being able to study features and designs before building the actual system is an advantage that a simulation model can offer. ... Keywords: colored petri net, parallel file system modeling, parallel file system simulation, pvfs

Hai Quang Nguyen; Amy Apon

2012-04-01T23:59:59.000Z

197

System Design, Analysis, Modeling, and Media Engineering Properties...  

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

modeling and simulations of * various storage systems configurations. Lead the storage system energy analysis and provide * results. Compile and obtain media engineering...

198

Long-Term Modeling of the California Energy System  

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

energy systems and climate policies. Some issues specific to modeling the California energy system will be discussed, including building equipment efficiency and electricity trade....

199

Environmental and institutional models of system development: a national criminal history system  

Science Conference Proceedings (OSTI)

This article tests two competing theories of system development referred to here as environmental and institutional models. These models form the basis for most explanations of why systems are developed and utilized. We will examine both models in detail ...

Kenneth C. Laudon

1985-07-01T23:59:59.000Z

200

The Community Earth System Model: A Framework for Collaborative Research  

Science Conference Proceedings (OSTI)

The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of Earth system interactions across multiple time and space scales. This global coupled model significantly extends its predecessor, the ...

James W. Hurrell; M. M. Holland; P. R. Gent; S. Ghan; Jennifer E. Kay; P. J. Kushner; J.-F. Lamarque; W. G. Large; D. Lawrence; K. Lindsay; W. H. Lipscomb; M. C. Long; N. Mahowald; D. R. Marsh; R. B. Neale; P. Rasch; S. Vavrus; M. Vertenstein; D. Bader; W. D. Collins; J. J. Hack; J. Kiehl; S. Marshall

2013-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

The Inverse Ocean Modeling System. Part II: Applications  

Science Conference Proceedings (OSTI)

The Inverse Ocean Modeling (IOM) System is a modular system for constructing and running weak-constraint four-dimensional variational data assimilation (W4DVAR) for any linear or nonlinear functionally smooth dynamical model and observing array. ...

J. C. Muccino; H. Luo; H. G. Arango; D. Haidvogel; J. C. Levin; A. F. Bennett; B. S. Chua; G. D. Egbert; B. D. Cornuelle; A. J. Miller; E. Di Lorenzo; A. M. Moore; E. D. Zaron

2008-09-01T23:59:59.000Z

202

New Model Systems for Studying Highly Frustrated Magnetism  

Science Conference Proceedings (OSTI)

... New Model Systems for Studying Highly Frustrated Magnetism. Ovidiu Garlea, Ames Laboratory. In the field of frustrated ...

203

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

SciTech Connect

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

Not Available

1994-03-01T23:59:59.000Z

204

Modelling and simulation of social systems with INGENIAS  

Science Conference Proceedings (OSTI)

Most agent-based simulation toolkits are based on the Java programming language. This makes their use difficult for social scientists, who are usually not skilled in computer programming. However, agent modelling concepts are not unlike those which ... Keywords: ABM, IDK, INGENIAS development kit, MAS, agent development tools, agent-based modelling, agent-based simulation, agent-based systems, model transformation, model-driven development, multi-agent systems, social models, social science, social simulation, social systems

Juan Pavon; Candelaria Sansores; Jorge J. Gomez-Sanz

2008-02-01T23:59:59.000Z

205

Modeling and optimization of building HVAC systems.  

E-Print Network (OSTI)

??This thesis presents the development of hybrid modeling methodologies for HVAC component static/steady-state models and dynamic/transient models, and the development and implementation of a model-based… (more)

Jin, Guang Yu.

2012-01-01T23:59:59.000Z

206

An automatic image based modeling system by patch growing  

Science Conference Proceedings (OSTI)

In this paper, we present an automatic and efficient image based modeling system which can create objects' 3D models directly from images captured from different viewpoints. The system firstly uses structure from motion to generate camera parameters ... Keywords: automatic, image based modeling, patch, quasi dense, system

Bo Shu; Ting Li; Xianjie Qiu; Zhaoqi Wang

2009-05-01T23:59:59.000Z

207

An integrated modelling framework for regulated river systems  

Science Conference Proceedings (OSTI)

Management of regulated water systems has become increasingly complex due to rapid socio-economic growth and environmental changes in river basins over recent decades. This paper introduces the Source Integrated Modelling System (IMS), and describes ... Keywords: Murray-Darling Basin, Rainfall-runoff modelling, River management and operations, River system modelling, Source IMS

Wendy D. Welsh; Jai Vaze; Dushmanta Dutta; David Rassam; Joel M. Rahman; Ian D. Jolly; Peter Wallbrink; Geoffrey M. Podger; Matthew Bethune; Matthew J. Hardy; Jin Teng; Julien Lerat

2013-01-01T23:59:59.000Z

208

The National Energy Modeling System: An Overview 1998 - Appendix:  

Gasoline and Diesel Fuel Update (EIA)

APPENDIX: APPENDIX: BIBLIOGRAPHY The National Energy Modeling System is documented in a series of model documentation reports, available by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, National Energy Modeling System Integrating Module Documentation Report, DOE/EIA-M057(97) (Washington, DC, May 1997). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(97) (Washington, DC, December 1996). Energy Information Administration, Model Developer's Appendix to the Model Documentation Report: NEMS Macroeconomic Activity Module, DOE/EIA-M065A (Washington, DC, July 1994). Energy Information Administration, Documentation of the DRI Model of the

209

Modelling integrated waste management system of the Czech Republic  

Science Conference Proceedings (OSTI)

The paper is devoted to environmental modelling, particularly modelling of Integrated Municipal Solid Waste Management Systems at the Czech Republic (IMSWMS). There are considered input macroeconomic variables (landfills fees, price of electricity, tax ... Keywords: environmental modelling, integrated waste management system, municipal solid waste, waste management modelling

Jiri Hrebicek; Jana Soukopova

2010-07-01T23:59:59.000Z

210

The National Energy Modeling System The  

Gasoline and Diesel Fuel Update (EIA)

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

211

Solar system tests of brane world models  

E-Print Network (OSTI)

The classical tests of general relativity (perihelion precession, deflection of light, and the radar echo delay) are considered for the Dadhich, Maartens, Papadopoulos and Rezania (DMPR) solution of the spherically symmetric static vacuum field equations in brane world models. For this solution the metric in the vacuum exterior to a brane world star is similar to the Reissner-Nordstrom form of classical general relativity, with the role of the charge played by the tidal effects arising from projections of the fifth dimension. The existing observational solar system data on the perihelion shift of Mercury, on the light bending around the Sun (obtained using long-baseline radio interferometry), and ranging to Mars using the Viking lander, constrain the numerical values of the bulk tidal parameter and of the brane tension.

Christian G. Boehmer; Tiberiu Harko; Francisco S. N. Lobo

2008-01-09T23:59:59.000Z

212

Modeling power system load using intelligent methods.  

E-Print Network (OSTI)

??Modern power systems are integrated, complex, dynamic systems. Due to the complexity, power system operation and control need to be analyzed using numerical simulation. The… (more)

He, Shengyang

2011-01-01T23:59:59.000Z

213

Generic Disposal System Modeling, Fiscal Year 2011 Progress Report |  

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

Disposal System Modeling, Fiscal Year 2011 Progress Report Disposal System Modeling, Fiscal Year 2011 Progress Report Generic Disposal System Modeling, Fiscal Year 2011 Progress Report The UFD Campaign is developing generic disposal system models (GDSM) of different disposal environments and waste form options. Currently, the GDSM team is investigating four main disposal environment options: mined repositories in three geologic media (salt, clay, and granite) and the deep borehole concept in crystalline rock (DOE 2010d). Further developed the individual generic disposal system (GDS) models for salt, granite, clay, and deep borehole disposal environments. GenericDisposalSystModelFY11.pdf More Documents & Publications Integration of EBS Models with Generic Disposal System Models TSPA Model Development and Sensitivity Analysis of Processes Affecting

214

Wind parks equivalent models using system identification techniques based on nonlinear model structures  

Science Conference Proceedings (OSTI)

In this paper models of Wind Parks (WPs) appropriate for simulation purposes of large power systems with high wind power penetration are developed. The proposed models of the WPs are developed using system identification theory with NARX model structures. ... Keywords: modeling, system identification, wind integration, wind parks, wind turbines

F. D. Kanellos; G. J. Tsekouras; N. E. Mastorakis

2009-08-01T23:59:59.000Z

215

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

Science Conference Proceedings (OSTI)

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

NONE

1996-02-26T23:59:59.000Z

216

Reference Model for Control and Automation Systems in Electrical Power |  

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

Model for Control and Automation Systems in Electrical Model for Control and Automation Systems in Electrical Power Reference Model for Control and Automation Systems in Electrical Power Modern infrastructure automation systems are threatened by cyber attack. Their higher visibility in recent years and the increasing use of modern information technology (IT) components contribute to increased security risk. A means of analyzing these infrastructure automation systems is needed to help understand and study the many system relationships that affect the overall security of the system. Modeling these systems is a very cost effective means of addressing the problem of security from an overall system view. The model presented in the document below provides a structured, cost effective approach to address technical security in process control systems

217

Maintaining consistency between system architecture and dynamic system models with SysML4Modelica  

Science Conference Proceedings (OSTI)

Nowadays many technical products include mechatronic systems that incorporate components from multiple disciplines --- mechanical, electronic, controls and software. In model-based design of mechatronic systems different kinds of models are used to model ... Keywords: SysML, mechatronic systems, model-based design, modelica

Axel Reichwein; Christiaan J. J. Paredis; Arquimedes Canedo; Petra Witschel; Philipp Emanuel Stelzig; Anjelika Votintseva; Rainer Wasgint

2012-10-01T23:59:59.000Z

218

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

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

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

219

Fuzzy Sets and Systems 128 (2002) 3546 www.elsevier.com/locate/fss  

E-Print Network (OSTI)

) in its input=output relation, and hence the name "vector rational ÿlters" (VRF) [10]. There are several

Gabbouj, Moncef

220

SEESM: Scalable Extensible Earth System Model for Climate Change Science |  

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

SEESM: Scalable Extensible Earth System Model for Climate Change Science SEESM: Scalable Extensible Earth System Model for Climate Change Science SEESM: Scalable Extensible Earth System Model for Climate Change Science This SciDAC project will transform an existing, state-of-the-science, third-generation global climate model, the Community Climate System Model (CCSM3), into a first-generation Earth system model that fully simulates the relationships between the physical, chemical, and bio-geochemical processes in the climate system. The model will incorporate new processes necessary to predict future climates based on the specification of greenhouse gas emissions rather than specification of atmospheric concentrations, as is done in present models, which make assumptions about the carbon cycle that are likely not valid. This project will include comprehensive treatments of the processes

Note: This page contains sample records for the topic "input-output modeling system" 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

Cogeneration System Size Optimization Constant Capacity and Constant Demand Models  

E-Print Network (OSTI)

This paper presents the development of a quasi-linear optimization model for a cogeneration system subject to constant heat and power demands or loads. The linear model is next modified to a non-linear one to account for economies of scale. The models define the necessary and sufficient conditions for system size optimality. Thus, the underlying methodology constitutes the foundation for a subsequent series of more sophisticated cogeneration design models. Several examples are presented to illustrate the models.

Wong-Kcomt, J. B.; Turner, W. C.

1993-03-01T23:59:59.000Z

222

System Model-Based Definition of Modeling Language Semantics  

Science Conference Proceedings (OSTI)

In this paper, we present an approach to define the semantics for object-oriented modeling languages. One important property of this semantics is to support underspecified and incomplete models. To this end, semantics is given as predicates over elements ...

Hans Grönniger; Jan Oliver Ringert; Bernhard Rumpe

2009-06-01T23:59:59.000Z

223

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Analysis Modeling System (PAMS) Analysis Modeling System (PAMS) (Redirected from Policy Analysis Modeling System) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

224

DOE Hydrogen Analysis Repository: Policy Office Electricity Modeling System  

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

Policy Office Electricity Modeling System (POEMS) Policy Office Electricity Modeling System (POEMS) Project Summary Full Title: Policy Office Electricity Modeling System (POEMS) Project ID: 93 Principal Investigator: Lessly Goudarzi Purpose Designed and built by OnLocation specifically to address electricity industry restructuring issues Performer Principal Investigator: Lessly Goudarzi Organization: OnLocation, Inc. Address: Suite 300, 501 Church Street Vienna, VA 22180 Telephone: 703-938-5151 Email: goudarzi@onlocationinc.com Project Description Type of Project: Model Category: Energy Infrastructure Products/Deliverables Description: National Transmission Grid Study - Appendix A Publication Title: Policy Office Electricty Modeling System (POEMS) and Documentation for Transmission Analysis (PDF 461 KB) Download Adobe Reader.

225

NREL: Regional Energy Deployment System (ReEDS) Model - Publications  

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

Regional Energy Deployment System (ReEDS) Model Energy Analysis ReEDS Regional Energy Deployment System Model Regional Energy Deployment System (ReEDS) Model Energy Analysis ReEDS Regional Energy Deployment System Model Search More Search Options Site Map Printable Version Publications The following are publications - including technical reports, journal articles, conference papers, and posters - focusing on the Wind Deployment System (WinDS) and Regional Energy Deployment System (ReEDS) models. Technical Reports Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M. (2013). Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions. 55 pp.; NREL Report No. TP-6A20-55836. Martinez, A.; Eurek, K.; Mai, T.; Perry, A. (2013). Integrated Canada-U.S. Power Sector Modeling with the Regional Energy Deployment System (ReEDS).

226

Conceptual Models of Geothermal Systems - Introduction | Open Energy  

Open Energy Info (EERE)

Conceptual Models of Geothermal Systems - Introduction Conceptual Models of Geothermal Systems - Introduction Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Conceptual Models of Geothermal Systems - Introduction Abstract The key to the successful exploration, development (incl. drilling) and utilization of any type of geothermal system is a clear definition and understanding of the nature and characteristics of the system in question. This is best achieved through the development of a conceptual model of the system, which is a descriptive or qualitative model incorporating, and unifying, the essential physical features of the system. Conceptual models are mainly based on analysis of geological and geophysical information, temperature and pressure data, information on reservoir properties as well

227

An automated translator for model checking time constrained workflow systems  

Science Conference Proceedings (OSTI)

Workflows have proven to be a useful conceptualization for the automation of business processes. While formal verification methods (e.g., model checking) can help ensure the reliability of workflow systems, the industrial uptake of such methods has been ... Keywords: automated translation, distributed model checking, modeling, time, workflow systems

Ahmed Shah Mashiyat; Fazle Rabbi; Hao Wang; Wendy MacCaull

2010-09-01T23:59:59.000Z

228

Analysis Model for Domestic Hot Water Distribution Systems: Preprint  

DOE Green Energy (OSTI)

A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.

Maguire, J.; Krarti, M.; Fang, X.

2011-11-01T23:59:59.000Z

229

Residential Vertical Geothermal Heat Pump System Models: Calibration to Data:  

SciTech Connect

A detailed component-based simulation model of a geothermal heat pump system has been calibrated to monitored data taken from a family housing unit located at Fort Polk, Louisiana. The simulation model represents the housing unit, geothermal heat pump, ground heat exchanger, thermostat, blower, and ground-loop pump. Each of these component models was 'tuned' to better match the measured data from the site. These tuned models were then interconnect to form the system model. The system model was then exercised in order to demonatrate its capabilities.

Thornton, Jeff W. [Thermal Energy Systems Specialists, Inc.; McDowell, T. P. [Thermal Energy Systems Specialists, Inc.; Shonder, John A [ORNL; Hughes, Patrick [ORNL; Pahud, D. [University of Applied Sciences of Southern Switzerland; Hellstrom, G. [Lund University

1997-06-01T23:59:59.000Z

230

Hybrid Power System Simulation Model | Open Energy Information  

Open Energy Info (EERE)

Hybrid Power System Simulation Model Hybrid Power System Simulation Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hybrid Power System Simulation Model Focus Area: Renewable Energy Topics: System & Application Design Website: www.umass.edu/windenergy/OLD_SITE/projects/hybrid2/ Equivalent URI: cleanenergysolutions.org/content/hybrid-power-system-simulation-model, Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This tool performs detailed long-term performance and economic analysis on a wide variety of hybrid power systems. It is a probabilistic/time-series computer model, using time-series data for loads, wind speed, solar insolation, temperature, and the power system designed or selected by the user, to predict the performance of the hybrid power system. An economic

231

Battery Thermal Management System Design Modeling (Presentation)  

DOE Green Energy (OSTI)

Presents the objectives and motivations for a battery thermal management vehicle system design study.

Kim, G-H.; Pesaran, A.

2006-10-01T23:59:59.000Z

232

Overview of ASC Capability Computing System Governance Model  

SciTech Connect

This document contains a description of the Advanced Simulation and Computing Program's Capability Computing System Governance Model. Objectives of the Governance Model are to ensure that the capability system resources are allocated on a priority-driven basis according to the Program requirements; and to utilize ASC Capability Systems for the large capability jobs for which they were designed and procured.

Doebling, Scott W. [Los Alamos National Laboratory

2012-07-11T23:59:59.000Z

233

A dynamic system model of biogeography-based optimization  

Science Conference Proceedings (OSTI)

Abstract: We derive a dynamic system model for biogeography-based optimization (BBO) that is asymptotically exact as the population size approaches infinity. The states of the dynamic system are equal to the proportion of each individual in the population; ... Keywords: Biogeography-based optimization, Dynamic system, Evolutionary algorithm, Genetic algorithm, Global uniform recombination, Markov model

Dan Simon

2011-12-01T23:59:59.000Z

234

Overview of ASC Capability Computing System Governance Model  

SciTech Connect

This document contains a description of the Advanced Simulation and Computing Program's Capability Computing System Governance Model. Objectives of the Governance Model are to ensure that the capability system resources are allocated on a priority-driven basis according to the Program requirements; and to utilize ASC Capability Systems for the large capability jobs for which they were designed and procured.

Doebling, Scott W. [Los Alamos National Laboratory

2012-07-11T23:59:59.000Z

235

Towards a Reference Model for Surveying Mobile Agent Systems  

Science Conference Proceedings (OSTI)

There are increasing numbers of systems and research projects involving software agents and mobile agents. However, there is no reference model or conceptual framework to compare the resulting systems. In this paper, we propose a reference model to identify, ... Keywords: agent-based applications, mobile agent systems, mobile agents

Alberto Rodrigues Silva; Artur Romão; Dwight Deugo; Miguel Mira Da Silva

2001-09-01T23:59:59.000Z

236

Representing natural and manmade drainage systems in an earth system modeling framework  

SciTech Connect

Drainage systems can be categorized into natural or geomorphological drainage systems, agricultural drainage systems and urban drainage systems. They interact closely among themselves and with climate and human society, particularly under extreme climate and hydrological events such as floods. This editorial articulates the need to holistically understand and model drainage systems in the context of climate change and human influence, and discusses the requirements and examples of feasible approaches to representing natural and manmade drainage systems in an earth system modeling framework.

Li, Hongyi; Wu, Huan; Huang, Maoyi; Leung, Lai-Yung R.

2012-08-27T23:59:59.000Z

237

BDI Models and Systems: Bridging the Gap  

Science Conference Proceedings (OSTI)

Beliefs-Desires-Intentions models (or BDI models) of agents have been around for quit a long time. The purpose of these models is to characterize agents using anthropomorphic notions, such as mental states and actions. However, despite the fact that ...

Michael da Costa Móra; José Gabriel Pereira Lopes; Rosa Maria Vicari; Helder Coelho

1998-07-01T23:59:59.000Z

238

Maui Electrical System Simulation Model Validation  

E-Print Network (OSTI)

. The results of the production cost model were compared to the 2007 historical operating conditions in the model. · Outages were simulated in MAPS based on 2007 historical outage duration by unit. In future analyses it is likely that the 5-year average outage data, by unit, would be implemented in the model

239

A CAD system for heterogeneous solid modelling  

Science Conference Proceedings (OSTI)

Objects that are made up of multiple materials and known as heterogeneous objects are now increasingly being used in engineering applications. The development of new fabrication methods like rapid prototyping (RP), calls for new techniques to ... Keywords: CAD model, STL file, functionally graded material, geometric information, heterogeneous models, heterogeneous solids, layered manufacturing, manufacturing strategy, material information, rapid prototyping, solid modelling

Puneet Tandon; Anuj Kant

2005-11-01T23:59:59.000Z

240

Modeling shallow marine carbonate depositional systems  

Science Conference Proceedings (OSTI)

Geological Process Models (GPMs) have been used in the past to simulate the distinctive stratigraphies formed in carbonate sediments, and to explore the interaction of controls that produce heterogeneity. Previous GPMs have only indirectly included the ... Keywords: Carbonate, Geological process model, Numerical modeling, Reef, Supersaturation

Jon Hill; Daniel Tetzlaff; Andrew Curtis; Rachel Wood

2009-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

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

242

Agent-based modeling and systems dynamics model reproduction.  

Science Conference Proceedings (OSTI)

Reproducibility is a pillar of the scientific endeavour. We view computer simulations as laboratories for electronic experimentation and therefore as tools for science. Recent studies have addressed model reproduction and found it to be surprisingly difficult to replicate published findings. There have been enough failed simulation replications to raise the question, 'can computer models be fully replicated?' This paper answers in the affirmative by reporting on a successful reproduction study using Mathematica, Repast and Swarm for the Beer Game supply chain model. The reproduction process was valuable because it demonstrated the original result's robustness across modelling methodologies and implementation environments.

North, M. J.; Macal, C. M. (Decision and Information Sciences)

2009-01-01T23:59:59.000Z

243

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

244

RELAP5 MODEL OF THE DIVERTOR PRIMARY HEAT TRANSFER SYSTEM  

SciTech Connect

This report describes the RELAP5 model that has been developed for the divertor primary heat transfer system (PHTS). The model is intended to be used to examine the transient performance of the divertor PHTS and evaluate control schemes necessary to maintain parameters within acceptable limits during transients. Some preliminary results are presented to show the maturity of the model and examine general divertor PHTS transient behavior. The model can be used as a starting point for developing transient modeling capability, including control system modeling, safety evaluations, etc., and is not intended to represent the final divertor PHTS design. Preliminary calculations using the models indicate that during normal pulsed operation, present pressurizer controls may not be sufficient to keep system pressures within their desired range. Additional divertor PHTS and control system design efforts may be required to ensure system pressure fluctuation during normal operation remains within specified limits.

Popov, Emilian L [ORNL; Yoder Jr, Graydon L [ORNL; Kim, Seokho H [ORNL

2010-08-01T23:59:59.000Z

245

Numerical Modelling of Geothermal Systems a Short Introduction | Open  

Open Energy Info (EERE)

Numerical Modelling of Geothermal Systems a Short Introduction Numerical Modelling of Geothermal Systems a Short Introduction Jump to: navigation, search OpenEI Reference LibraryAdd to library General: Numerical Modelling of Geothermal Systems a Short Introduction Authors Mauro Cacace, Björn Onno Kaiser and Yvonne Cherubini Published Helmholtz Association, The date "N/A" was not understood.The date "N/A" was not understood. DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Numerical Modelling of Geothermal Systems a Short Introduction Citation Mauro Cacace,Björn Onno Kaiser,Yvonne Cherubini. N/A. Numerical Modelling of Geothermal Systems a Short Introduction. N/A. Helmholtz Association. N/Ap. Retrieved from "http://en.openei.org/w/index.php?title=Numerical_Modelling_of_Geothermal_Systems_a_Short_Introduction&oldid=688986"

246

Performance model assessment for multi-junction concentrating photovoltaic systems.  

DOE Green Energy (OSTI)

Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement. Large photovoltaic systems are typically developed as projects which supply electricity to a utility and are owned by independent power producers. Obtaining financing at favorable rates and attracting investors requires confidence in the projected energy yield from the plant. In this paper, various performance models for projecting annual energy yield from Concentrating Photovoltaic (CPV) systems are assessed by comparing measured system output to model predictions based on measured weather and irradiance data. The results are statistically analyzed to identify systematic error sources.

Stein, Joshua S.; Riley, Daniel M.; McConnell, Robert. (Amonix, Inc., Seal Beach, CA); Sahm, Aaron (University of Nevada, Las Vegas, NV); Crawford, Clark (Amonix, Inc., Seal Beach, CA); King, David L.; Cameron, Christopher P.; Foresi, James S. (Emcore, Inc., Albuquerque, NM)

2010-03-01T23:59:59.000Z

247

The Community Climate System Model Version 4  

SciTech Connect

The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all the CCSM components, and documents fully coupled pre-industrial control runs compared to the previous version, CCSM3. Using the standard atmosphere and land resolution of 1{sup o} results in the sea surface temperature biases in the major upwelling regions being comparable to the 1.4{sup o} resolution CCSM3. Two changes to the deep convection scheme in the atmosphere component result in the CCSM4 producing El Nino/Southern Oscillation variability with a much more realistic frequency distribution than the CCSM3, although the amplitude is too large compared to observations. They also improve the representation of the Madden-Julian Oscillation, and the frequency distribution of tropical precipitation. A new overflow parameterization in the ocean component leads to an improved simulation of the deep ocean density structure, especially in the North Atlantic. Changes to the CCSM4 land component lead to a much improved annual cycle of water storage, especially in the tropics. The CCSM4 sea ice component uses much more realistic albedos than the CCSM3, and the Arctic sea ice concentration is improved in the CCSM4. An ensemble of 20th century simulations runs produce an excellent match to the observed September Arctic sea ice extent from 1979 to 2005. The CCSM4 ensemble mean increase in globally-averaged surface temperature between 1850 and 2005 is larger than the observed increase by about 0.4 C. This is consistent with the fact that the CCSM4 does not include a representation of the indirect effects of aerosols, although other factors may come into play. The CCSM4 still has significant biases, such as the mean precipitation distribution in the tropical Pacific Ocean, too much low cloud in the Arctic, and the latitudinal distributions of short-wave and long-wave cloud forcings.

Gent, Peter R.; Danabasoglu, Gokhan; Donner, Leo J.; Holland, Marika M.; Hunke, Elizabeth C.; Jayne, Steve R.; Lawrence, David M.; Neale, Richard; Rasch, Philip J.; Vertenstein, Mariana; Worley, Patrick; Yang, Zong-Liang; Zhang, Minghua

2011-10-01T23:59:59.000Z

248

The Community Climate System Model Version 3 (CCSM3)  

Science Conference Proceedings (OSTI)

The Community Climate System Model version 3 (CCSM3) has recently been developed and released to the climate community. CCSM3 is a coupled climate model with components representing the atmosphere, ocean, sea ice, and land surface connected by a ...

William D. Collins; Cecilia M. Bitz; Maurice L. Blackmon; Gordon B. Bonan; Christopher S. Bretherton; James A. Carton; Ping Chang; Scott C. Doney; James J. Hack; Thomas B. Henderson; Jeffrey T. Kiehl; William G. Large; Daniel S. McKenna; Benjamin D. Santer; Richard D. Smith

2006-06-01T23:59:59.000Z

249

Numerical Simulation and Modelling of Electronic and Biochemical Systems  

Science Conference Proceedings (OSTI)

Numerical simulation and modelling are witnessing a resurgence. Designing systems with integrated wireless components, mixed-signal blocks and nanoscale, multi-GHz "digital" circuits is requiring extensive low-level modelling and simulation. Analysis ...

Jaijeet Roychowdhury

2009-02-01T23:59:59.000Z

250

Model Ordinance for Siting of Wind-Energy Systems  

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

In 2009, the South Dakota Public Utilities Commission (PUC) created a [http://puc.sd.gov/commission/twg/WindEnergyOrdinance.pdf model ordinance] for siting wind-energy systems. This nine-page model...

251

The Inverse Ocean Modeling System. Part I: Implementation  

Science Conference Proceedings (OSTI)

The Inverse Ocean Modeling (IOM) system constructs and runs weak-constraint, four-dimensional variational data assimilation (W4DVAR) for any dynamical model and any observing array. The dynamics and the observing algorithms may be nonlinear but ...

A. F. Bennett; B. S. Chua; B. L. Pflaum; M. Erwig; Z. Fu; R. D. Loft; J. C. Muccino

2008-09-01T23:59:59.000Z

252

Data mining for modeling chiller systems in data centers  

Science Conference Proceedings (OSTI)

We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lack of “first principles” models of chiller systems. At the ...

Debprakash Patnaik; Manish Marwah; Ratnesh K. Sharma; Naren Ramakrishnan

2010-05-01T23:59:59.000Z

253

Modeling Vertical and Horizontal Diffusivities with the Sigma Coordinate System  

Science Conference Proceedings (OSTI)

The use of diffusive terms in numerical ocean models is examined relative to different coordinate systems. The conventional model for horizontal diffusion is found to be incorrect when bottom topographical slopes are large. A new formulation is ...

George L. Mellor; Alan F. Blumberg

1985-08-01T23:59:59.000Z

254

A Small Aircraft Transportation System (SATS) Demand Model  

Science Conference Proceedings (OSTI)

The Small Aircraft Transportation System (SATS) demand modeling is a tool that will be useful for decision makers to analyze SATS demands in both airport and airspace. We constructed a series of models following the general top- down, modular principles ...

Long Dou; Lee David; Johnson Jesse; Kostiuk Peter

2001-06-01T23:59:59.000Z

255

Models used to assess the performance of photovoltaic systems.  

DOE Green Energy (OSTI)

This report documents the various photovoltaic (PV) performance models and software developed and utilized by researchers at Sandia National Laboratories (SNL) in support of the Photovoltaics and Grid Integration Department. In addition to PV performance models, hybrid system and battery storage models are discussed. A hybrid system using other distributed sources and energy storage can help reduce the variability inherent in PV generation, and due to the complexity of combining multiple generation sources and system loads, these models are invaluable for system design and optimization. Energy storage plays an important role in reducing PV intermittency and battery storage models are used to understand the best configurations and technologies to store PV generated electricity. Other researcher's models used by SNL are discussed including some widely known models that incorporate algorithms developed at SNL. There are other models included in the discussion that are not used by or were not adopted from SNL research but may provide some benefit to researchers working on PV array performance, hybrid system models and energy storage. The paper is organized into three sections to describe the different software models as applied to photovoltaic performance, hybrid systems, and battery storage. For each model, there is a description which includes where to find the model, whether it is currently maintained and any references that may be available. Modeling improvements underway at SNL include quantifying the uncertainty of individual system components, the overall uncertainty in modeled vs. measured results and modeling large PV systems. SNL is also conducting research into the overall reliability of PV systems.

Stein, Joshua S.; Klise, Geoffrey T.

2009-12-01T23:59:59.000Z

256

A Dynamical Systems Model for Nuclear Power Plant Risk Management  

Science Conference Proceedings (OSTI)

This report provides a mathematical dynamical systems model of the effect of plant processes and programs on nuclear plant safety. That is, it models the safety risk management process. Responses of this model to postulated changes in performance and coupling parameters were verified to be in accordance with experience from years of commercial nuclear power plant operation. A preliminary analysis of the model was performed using the techniques of dynamical systems theory to determine regions of operation...

2003-10-31T23:59:59.000Z

257

Solar system constraints on f(G) gravity models  

E-Print Network (OSTI)

We discuss solar system constraints on f(G) gravity models, where f is a function of the Gauss-Bonnet term G. We focus on cosmologically viable f(G) models that can be responsible for late-time cosmic acceleration. These models generally give rise to corrections of the form epsilon*(r/rs)^p to the vacuum Schwarzschild solution, where epsilon = H^2 rs^2 solar system constraints for a wide range of model parameters.

Antonio De Felice; Shinji Tsujikawa

2009-07-10T23:59:59.000Z

258

Using Modelica for Physical Modeling of Air-Conditioning Systems  

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

and ready-to-use models for all relevant components of automotive air conditioning systems like condenser, evaporator, compressor, expansion devices and accumulatorreceiver...

259

Integrating Module of the National Energy Modeling System (INT)  

U.S. Energy Information Administration (EIA)

The National Energy Modeling System (NEMS) represents a general equilibrium solution of the interactions between the U.S. energy markets and the economy.

260

Pages that link to "System Advisor Model (SAM)" | Open Energy...  

Open Energy Info (EERE)

( links) Gateway:U.S. OpenLabsComputer Modeling Software ( links) Energy System and Scenario Analysis Toolkit ( links) Technology Cost and Performance...

Note: This page contains sample records for the topic "input-output modeling system" 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

EIA - The National Energy Modeling System: An Overview 2003-Report...  

Annual Energy Outlook 2012 (EIA)

Report Chapters The National Energy Modeling System: An Overview 2003 Report Chapters pdf image Preface pdf image Introduction pdf image Overview of NEMS pdf image Carbon Dioxide...

262

An Open Systems Model for Providing Universal, Reusable External...  

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

An Open Systems Model for Providing Universal, Reusable External Power Supplies for Consumer Electronics and other DC Powered Products Speaker(s): Gus Pabon Seth Socolow Date:...

263

Modeling Equilibrium Dynamics of the Benguela Current System  

Science Conference Proceedings (OSTI)

The Regional Ocean Modeling System (ROMS) is used to systematically investigate equilibrium conditions and seasonal variations of the Benguela system at a resolution of 9 km, including both the large-scale offshore flow regime and the ...

Jennifer Veitch; Pierrick Penven; Frank Shillington

2010-09-01T23:59:59.000Z

264

15.094 Systems Optimization: Models and Computation, Spring 2002  

E-Print Network (OSTI)

A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. ...

Freund, Robert Michael

265

Model Abstraction Techniques for Large-Scale Power Systems  

E-Print Network (OSTI)

Report on System Simulation using High Performance Computing Prepared by New Mexico Tech New Mexico: Application of High Performance Computing to Electric Power System Modeling, Simulation and Analysis Task Two

266

Confronting Models with Data: The GEWEX Cloud Systems Study  

Science Conference Proceedings (OSTI)

The Global Energy and Water Cycle Experiment (GEWEX) Cloud System Study (GCSS) was organized to promote the development of improved parameterizations of cloud systems for use in climate and numerical weather prediction models, with an emphasis on ...

David Randall; Steven Krueger; Christopher Bretherton; Judith Curry; Peter Duynkerke; Mitchell Moncrieff; Brian Ryan; David Starr; Martin Miller; William Rossow; George Tselioudis; Bruce Wielicki

2003-04-01T23:59:59.000Z

267

Applications of axial and radial compressor dynamic system modeling  

E-Print Network (OSTI)

The presented work is a compilation of four different projects related to axial and centrifugal compression systems. The projects are related by the underlying dynamic system modeling approach that is common in all of them. ...

Spakovszky, Zoltán S. (Zoltán Sándor), 1972-

2001-01-01T23:59:59.000Z

268

Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1  

SciTech Connect

The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

NONE

1995-02-17T23:59:59.000Z

269

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Policy Analysis Modeling System (PAMS) Policy Analysis Modeling System (PAMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

270

National Energy Modeling System (NEMS) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (NEMS) National Energy Modeling System (NEMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (NEMS) Agency/Company /Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.eia.gov/oiaf/aeo/overview/index.html OpenEI Keyword(s): EERE tool, National Energy Modeling System, NEMS Language: English References: The National Energy Modeling System: An Overview[1] Project the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and

271

Numerical Modeling Of Basin And Range Geothermal Systems | Open Energy  

Open Energy Info (EERE)

Numerical Modeling Of Basin And Range Geothermal Systems Numerical Modeling Of Basin And Range Geothermal Systems Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Numerical Modeling Of Basin And Range Geothermal Systems Details Activities (3) Areas (3) Regions (0) Abstract: Basic qualitative relationships for extensional geothermal systems that include structure, heat input, and permeability distribution have been established using numerical models. Extensional geothermal systems, as described in this paper, rely on deep circulation of groundwater rather than on cooling igneous bodies for heat, and rely on extensional fracture systems to provide permeable upflow paths. A series of steady-state, two-dimensional simulation models is used to evaluate the effect of permeability and structural variations on an idealized, generic

272

External Technical Review for Evaluation of System Level Modeling and  

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

for Evaluation of System Level Modeling for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process Full Document and Summary Versions are available for download External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process Summary - System Level Modeling and Simulation Tools for Hanford More Documents & Publications Hanford Site C Tank Farm Meeting Summary - May 2009 System Planning for Low-Activity Waste at Hanford Hanford ETR Tank Waste Treatment and Immobilization Plant - Hanford Tank Waste Treatment and Immobilization Plant Technical Review - External

273

Detailed Performance Model for Photovoltaic Systems: Preprint  

DOE Green Energy (OSTI)

This paper presents a modified current-voltage relationship for the single diode model. The single-diode model has been derived from the well-known equivalent circuit for a single photovoltaic cell. The modification presented in this paper accounts for both parallel and series connections in an array.

Tian, H.; Mancilla-David, F.; Ellis, K.; Muljadi, E.; Jenkins, P.

2012-07-01T23:59:59.000Z

274

AN EVALUATION OF SELECT PEM FUEL CELL SYSTEM MODELS  

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

EVALUATING PEM FUEL CELL SYSTEM MODELS EVALUATING PEM FUEL CELL SYSTEM MODELS Kristina Haraldsson, Keith Wipke National Renewable Energy Laboratory (NREL) 1617 Cole Boulevard, MS 1633 Golden, Colorado, 80401 ABSTRACT Many proton exchange membrane (PEM) fuel cell models have been reported in publications, and some are available commercially. This paper helps users match their modeling needs with specific fuel cell models. The paper has three parts. First, it describes the model selection criteria for choosing a fuel cell model. Second, it applies these criteria to select state- of-the-art fuel cell models available in literature and commercially. The advantages and disadvantages of commercial models are discussed. Third, the paper illustrates the process of choosing a fuel cell model with an

275

Modeling and Identification for HVAC Systems.  

E-Print Network (OSTI)

??Heating, Ventilation and Air Conditioning (HVAC) systems consist of all the equipment that control the conditions and distribution of indoor air. Indoor air must be… (more)

Scotton, Francesco

2012-01-01T23:59:59.000Z

276

System Advisor Model: Flat Plate Photovoltaic Performance Modeling...  

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

in the technology and system design. To be accessible by the financial community, the impact of variations in energy yield must also flow through to financial metrics, such as the...

277

A View on Future Building System Modeling and Simulation  

SciTech Connect

This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

Wetter, Michael

2011-04-01T23:59:59.000Z

278

A View on Future Building System Modeling and Simulation  

SciTech Connect

This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

Wetter, Michael

2011-04-01T23:59:59.000Z

279

Representativeness models of systems: smart grid example  

Science Conference Proceedings (OSTI)

Given the great emphasis being placed on energy efficiency in contemporary society, in which the smart grid plays a prominent role, this is an opportune time to explore methodologies for appropriately representing system attributes. We suggest this is ... Keywords: Smart grid, System representativeness

Norman Schneidewind

2011-03-01T23:59:59.000Z

280

Modeling of polymer electrolyte fuel cell systems  

DOE Green Energy (OSTI)

Propulsion systems based on the polymer electrolyte fuel cell (PEFC) are being developed. This paper reports an analysis undertaken to design improved PEFC systems. A reference system design with some variants were set up for a methanol-fueled PEFC propulsion system. Efficiency improves from 38.4 to 44.1% as cell current density goes from 0.75 to 0.45 A/cm{sup 2}, while fuel cell efficiency increases from 52.6 to 60.0%; to get a net power output of 80 kWe, the active fuel cell area must increase from 18.8 to 27.3 m{sup 2}. Three parametric studies were conducted on the off-design performance of the reference system.

Kumar, R.; Ahluwalia, R.; Geyer, H.K.; Krumpelt, M.

1993-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Autonomous, teleoperated, and shared control of robot systems  

Science Conference Proceedings (OSTI)

This paper illustrates how different modes of operation such as bilateral teleoperation, autonomous control, and shared control can be described and implemented using combinations of modules in the SMART robot control architecture. Telerobotics modes are characterized by different ``grids`` of SMART icons, where each icon represents a portion of run-time code that implements a passive control law. By placing strict requirements on the module`s input-output behavior and using scattering theory to develop a passive sampling technique, a flexible, expandable telerobot architecture is achieved. An automatic code generation tool for generating SMART systems is also described.

Anderson, R.J.

1994-12-31T23:59:59.000Z

282

Toward a Fully Lagrangian Atmospheric Modeling System  

Science Conference Proceedings (OSTI)

An improved treatment of advection is essential for atmospheric transport and chemistry models. Eulerian treatments are generally plagued with instabilities, unrealistic negative constituent values, diffusion, and dispersion errors. A higher-...

Jahrul M. Alam; John C. Lin

2008-12-01T23:59:59.000Z

283

Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed a transient air conditioning (A/C) system model using SINDA/FLUINT analysis software. It captures all the relevant physics of transient A/C system performance, including two-phase flow effects in the evaporator and condenser, system mass effects, air side heat transfer on the condenser/evaporator, vehicle speed effects, temperature-dependent properties, and integration with a simplified cabin thermal model. It has demonstrated robust and powerful system design optimization capabilities. Single-variable and multiple variable design optimizations have been performed and are presented. Various system performance parameters can be optimized, including system COP, cabin cool-down time, and system heat load capacity. This work presents this new transient A/C system analysis and optimization tool and shows some high-level system design conclusions reached to date. The work focuses on R-134a A/C systems, but future efforts will modify the model to investigate the transient performance of alternative refrigerant systems such as carbon dioxide systems. NREL is integrating its transient air conditioning model into NRELs ADVISOR vehicle system analysis software, with the objective of simultaneously optimizing A/C system designs within the overall vehicle design optimization.

Hendricks, T. J.

2001-06-01T23:59:59.000Z

284

Modeling and Simulation for Mission Operations Work System Design  

Science Conference Proceedings (OSTI)

Work system analysis and design is complex and nondeterministic. In this paper we describe Brahms, a multiagent modeling and simulation environment for designing complex interactions in human-machine systems. Brahms was originally conceived as a business ... Keywords: Agent Languages, Business Process Modeling, Mission Operations Design, Multiagent Simulation, Work Practices

Maarten Sierhuis; William J. Clancey; Chin Seah; Jay P. Trimble; Michael H. Sims

2003-04-01T23:59:59.000Z

285

Modeling Electrocatalytic Reaction Systems from First Principles  

DOE Green Energy (OSTI)

Electrocatalytic reaction systems demonstrate markedly different behavior than those carried out in the vapor phase or under ultrahigh vacuum conditions. The differences in reactivity can be attributed to the significant difference between the reaction environment o fht electrocatalytic system which includes the presence of solution, electrolyte, and intrinsic as well as extrinsic potentials, in addition to the vapor phase system. The solution environment and the applied potential can stabilize or destabilize charge transfer events, thus influencing many of the physiochemical processes that occur at the surface of a working electrode and strongly impacting the activity, as well as the selectivity of the active catalyst.

Wasileski, Sally A.; Taylor, Christopher D.; Neurock, Matthew

2009-11-06T23:59:59.000Z

286

Model for Energy Supply System Alternatives and their General Environmental  

Open Energy Info (EERE)

Model for Energy Supply System Alternatives and their General Environmental Model for Energy Supply System Alternatives and their General Environmental Impacts (MESSAGE) (Redirected from Model for Energy Supply System Alternatives and their General Environmental Impacts) Jump to: navigation, search Tool Summary Name: Model for Energy Supply System Alternatives and their General Environmental Impacts Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways analysis Resource Type: Software/modeling tools Website: www-tc.iaea.org/tcweb/abouttc/strategy/Thematic/pdf/presentations/ener References: Overview of IAEA PESS Models [1] "MESSAGE combines technologies and fuels to construct so-called "energy chains", making it possible to map energy flows from supply (resource

287

Quantum chaotic system as a model of decohering environment  

E-Print Network (OSTI)

As a model of decohering environment, we show that quantum chaotic system behave equivalently as many-body system. An approximate formula for the time evolution of the reduced density matrix of a system interacting with a quantum chaotic environment is derived. This theoretical formulation is substantiated by the numerical study of decoherence of two qubits interacting with a quantum chaotic environment modeled by a chaotic kicked top. Like the many-body model of environment, the quantum chaotic system is efficient decoherer, and it can generate entanglement between the two qubits which have no direct interaction.

Jayendra N. Bandyopadhyay

2008-06-27T23:59:59.000Z

288

Wilis: Architectural Modeling of Wireless Systems  

E-Print Network (OSTI)

The performance of a wireless system depends on the wireless channel as well as the algorithms used in the transceiver pipelines. Because physical phenomena affect transceiver pipelines in difficult to predict ways, detailed ...

Fleming, Kermin Elliott

289

Open systems interconnection - the presentation service model  

Science Conference Proceedings (OSTI)

Future end systems, so-called 'workstations', will consist of a variety of different, sometimes intergrated devices. These devices may vary from character-oriented display terminals to database-oriented storage devices. The aim of the presentation service ...

Sigram Schindler; Ute Flasche; Carsten Bormann

1981-10-01T23:59:59.000Z

290

Numerical models for the evaluation of geothermal systems  

DOE Green Energy (OSTI)

We have carried out detailed simulations of various fields in the USA (Bada, New Mexico; Heber, California); Mexico (Cerro Prieto); Iceland (Krafla); and Kenya (Olkaria). These simulation studies have illustrated the usefulness of numerical models for the overall evaluation of geothermal systems. The methodology for modeling the behavior of geothermal systems, different approaches to geothermal reservoir modeling and how they can be applied in comprehensive evaluation work are discussed.

Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.

1986-08-01T23:59:59.000Z

291

Preliminary results of model predictive control of shading systems (WIP)  

Science Conference Proceedings (OSTI)

Shades in buildings are widely installed and are an effective technique for managing solar gains and occupant comfort. A model of a typical office space located in Ottawa, Ontario has been created and the model was developed for analysis under variable ... Keywords: energy management system, model predictive control, reactive control, shades

Brent Huchuk; William O'Brien; Cynthia A. Cruickshank

2013-04-01T23:59:59.000Z

292

User modelling for live help systems: initial results  

Science Conference Proceedings (OSTI)

This paper explores the role of user modelling in live help systems for e-commerce web sites. There are several potential benefits with user modelling in this context: 1) Human assistants can use the personal information in the user models to provide ...

Johan Aberg; Nahid Shahmehri; Dennis Maciuszek

2001-10-01T23:59:59.000Z

293

Blend surfaces for set theoretic volume modelling systems  

Science Conference Proceedings (OSTI)

Most volume modelling systems are very limited in the complexity of the surfaces which they support. This is satisfactory for basic models of most mechanical components, since the functional surfaces are not usually complex. However, there are often ... Keywords: computer aided design, curved surfaces, ray tracing, volume modelling

Alan E. Middleditch; Kenneth H. Sears

1985-07-01T23:59:59.000Z

294

DOE Hydrogen Analysis Repository: Macro-System Model  

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

Macro-System Model Macro-System Model Project Summary Full Title: Macro-System Model (MSM) Project ID: 66 Principal Investigator: Mark Ruth Brief Description: Federated object model framework is used to link other models to perform rapid cross-cutting analysis. Keywords: Transition; well-to-wheels (WTW); renewable; hydrogen production; emissions; cost Purpose Perform rapid cross-cutting analysis by utilizing and linking other models. This work will also improve consistency between models. Analyses that require the MSM will be used to support decisions regarding programmatic investments and focus of funding and to estimate program outputs and outcomes. Performer Principal Investigator: Mark Ruth Organization: National Renewable Energy Laboratory (NREL) Address: 1617 Cole Blvd.

295

Modeling of CSP, KPN and SR systems with systemC  

Science Conference Proceedings (OSTI)

In this chapter we show the ability to specify with SystemC under the restrictions imposed by several model of computations, namely CSP, KPN and SR. Specifying under these MoCs provides some important properties, specially deterrninism and more protection ... Keywords: CSP, KPN, SR, model of computation, system-level design, systemC

Fernando Herrera; Pablo Sánchez; Eugenio Villar

2004-01-01T23:59:59.000Z

296

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

SciTech Connect

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

NONE

1998-01-01T23:59:59.000Z

297

HIERARCHICAL METHODOLOGY FOR MODELING HYDROGEN STORAGE SYSTEMS. PART I: SCOPING MODELS  

DOE Green Energy (OSTI)

Detailed models for hydrogen storage systems provide essential design information about flow and temperature distributions, as well as, the utilization of a hydrogen storage media. However, before constructing a detailed model it is necessary to know the geometry and length scales of the system, along with its heat transfer requirements, which depend on the limiting reaction kinetics. More fundamentally, before committing significant time and resources to the development of a detailed model, it is necessary to know whether a conceptual storage system design is viable. For this reason, a hierarchical system of models progressing from scoping models to detailed analyses was developed. This paper, which discusses the scoping models, is the first in a two part series that presents a collection of hierarchical models for the design and evaluation of hydrogen storage systems.

Hardy, B; Donald L. Anton, D

2008-12-22T23:59:59.000Z

298

Incorporating Urban Systems in Global Climate Models  

E-Print Network (OSTI)

Resolutions IPCC AR4 The Future? Preliminary Data #12;CLM Urban Canyon Model Building Building Solar Radiation properties Building Properties Thermal Conductivity (W/mK) Heat Capacity (MJ/m^3 K) Albedo Density (kg/m^3T ,1shdwlT min , maxi buildT T T

Peterson, Blake R.

299

Automotive System Cost Modeling Tool (ASCM)  

E-Print Network (OSTI)

technology vehicles (i.e., diesel, hybrid, and fuel cell) developed for improved fuel economy remains either be done through Argonne National laboratory's hybrid vehicle cost model algorithm (adapted the Tool Can Help Answer · What is the life cycle cost of today's midsize hybrid vehicle? · How does

300

From model-based strategies to intelligent control systems  

Science Conference Proceedings (OSTI)

This paper presents the evolution of control systems and trends in the field of integrated computer, communication and cognitive sciences for control applications. There have been selected and presented the most efficient control strategies used in complex ... Keywords: intelligent control systems, model-based systems

Ioan Dumitrache

2008-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

New achievements for Romanian engineering training in modelling power systems  

Science Conference Proceedings (OSTI)

The evolution of electric power system analysis methods followed the present technical problems and business needs of electric utilities in Romania, before EU integration. Present technical requirements and the current stage of power system analysis ... Keywords: computer applications, computer simulation, fourier analysis, modelling, power systems, training

Stefania Popadiuc; Frangiskos Topalis; Cristiana Geambasu

2006-09-01T23:59:59.000Z

302

A timeband framework for modelling real-time systems  

Science Conference Proceedings (OSTI)

Complex real-time systems must integrate physical processes with digital control, human operation and organisational structures. New scientific foundations are required for specifying, designing and implementing these systems. One key challenge is to ... Keywords: Cyber physical, Modelling, Real-time systems

Alan Burns; Ian J. Hayes

2010-06-01T23:59:59.000Z

303

Modelling an urban water system on the edge of chaos  

Science Conference Proceedings (OSTI)

Viewing an urban water system as a complex adaptive system provides new opportunities for analysis and avoids some critical simplifications. Taking this perspective, it is possible to explore the inter-related effects of changes to the system. This is ... Keywords: Agent-based modelling, Integrated assessment, Socio-technical analysis, Water services

Magnus Moglia; Pascal Perez; Stewart Burn

2010-12-01T23:59:59.000Z

304

New achievements for Romanian engineering training in modelling power systems  

Science Conference Proceedings (OSTI)

The evolution of electric power system analysis methods followed the present technical problems and business needs of electric utilities in Romania, before EU integration. Present technical requirements and the current stage of power system analysis ... Keywords: Fourier analysis, computer applications, computer simulation, modelling, power systems, training

Stefania Popadiuc; Frangiskos Topalis; Cristiana Geambasu

2007-05-01T23:59:59.000Z

305

Strategies for integrated modeling: The community surface dynamics modeling system example  

Science Conference Proceedings (OSTI)

The Community Surface Dynamics Modeling System (CSDMS) is a community of earth scientists promoting the modeling of earth surface processes by developing and disseminating integrated software modules that predict the movement of fluids, and the flux ... Keywords: Community modeling, Earth surface dynamics, Governance, Model integration

Irina Overeem; Maureen M. Berlin; James P. M. Syvitski

2013-01-01T23:59:59.000Z

306

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

307

Modeling Air–Land–Sea Interactions Using the Integrated Regional Model System in Monterey Bay, California  

Science Conference Proceedings (OSTI)

The air–land–sea interaction in the vicinity of Monterey Bay, California, is simulated and investigated using a new Integrated Regional Model System (I-RMS). This new model realistically resolves coastal processes and submesoscale features that ...

Yu-Heng Tseng; Shou-Hung Chien; Jiming Jin; Norman L. Miller

2012-04-01T23:59:59.000Z

308

Wetland model in an earth systems modeling framework for regional environmental policy analysis  

E-Print Network (OSTI)

The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...

Awadalla, Sirein Salah

2011-01-01T23:59:59.000Z

309

Historical and idealized climate model experiments: an intercomparison of Earth system models of intermediate complexity  

E-Print Network (OSTI)

Both historical and idealized climate model experiments are performed with a variety of Earth system models of intermediate complexity (EMICs) as part of a community contribution to the Intergovernmental Panel on Climate ...

Monier, Erwan

310

Hydrogen Deployment System Modeling Environment (HyDS ME) Documentation: Milestone Report FY 2006  

DOE Green Energy (OSTI)

This report introduces the Hydrogen Deployment System Modeling Environment model, assumptions, and basic operations.

Parks. K.

2006-11-01T23:59:59.000Z

311

Reasoning about Interactive Systems with Stochastic Models  

Science Conference Proceedings (OSTI)

Several techniques for specification exist to capture certain aspects of user behaviour, with the goal of reasoning about the usability of the system and other human-factors related issues. One such approach is to encode a set of assumptions about user ...

Gavin J. Doherty; Mieke Massink; Giorgio Faconti

2001-06-01T23:59:59.000Z

312

The Community Earth System Model: A Framework for Collaborative Research  

SciTech Connect

The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of earth system interactions across multiple time and space scales. This global coupled model is a natural evolution from its predecessor, the Community Climate System Model, following the incorporation of new earth system capabilities. These include the ability to simulate biogeochemical cycles, atmospheric chemistry, ice sheets, and a high-top atmosphere. These and other new model capabilities are enabling investigations into a wide range of pressing scientific questions, providing new predictive capabilities and increasing our collective knowledge about the behavior and interactions of the earth system. Simulations with numerous configurations of the CESM have been provided to the Coupled Model Intercomparison Project Phase 5 (CMIP5) and are being analyzed by the broader community of scientists. Additionally, the model source code and associated documentation are freely available to the scientific community to use for earth system studies, making it a true community tool. Here we describe this earth modeling system, its various possible configurations, and illustrate its capabilities with a few science highlights.

Hurrell, Jim; Holland, Marika M.; Gent, Peter R.; Ghan, Steven J.; Kay, Jennifer; Kushner, P.; Lamarque, J.-F.; Large, William G.; Lawrence, David M.; Lindsay, Keith; Lipscomb, William; Long , Matthew; Mahowald, N.; Marsh, D.; Neale, Richard; Rasch, Philip J.; Vavrus, Steven J.; Vertenstein, Mariana; Bader, David C.; Collins, William D.; Hack, James; Kiehl, J. T.; Marshall, Shawn

2013-09-30T23:59:59.000Z

313

Modeling for System Integration Studies (Presentation)  

SciTech Connect

This presentation describes some the data requirements needed for grid integration modeling and provides real-world examples of such data and its format. Renewable energy integration studies evaluate the operational impacts of variable generation. Transmission planning studies investigate where new transmission is needed to transfer energy from generation sources to load centers. Both use time-synchronized wind and solar energy production and load as inputs. Both examine high renewable energy penetration scenarios in the future.

Orwig, K. D.

2012-05-01T23:59:59.000Z

314

Model for Energy Supply System Alternatives and their General Environmental  

Open Energy Info (EERE)

Model for Energy Supply System Alternatives and their General Environmental Model for Energy Supply System Alternatives and their General Environmental Impacts (MESSAGE) Jump to: navigation, search Tool Summary Name: Model for Energy Supply System Alternatives and their General Environmental Impacts Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways analysis Resource Type: Software/modeling tools Website: www-tc.iaea.org/tcweb/abouttc/strategy/Thematic/pdf/presentations/ener References: Overview of IAEA PESS Models [1] "MESSAGE combines technologies and fuels to construct so-called "energy chains", making it possible to map energy flows from supply (resource extraction) to demand (energy services). The model can help design long

315

Adaptive Optimization and Systematic Probing of Infrastructure System Maintenance Policies under Model Uncertainty  

E-Print Network (OSTI)

Maintenance; Optimization; Probabilistic models; Adaptive systems; Uncertainty principles . Introduction Infrastructure management systems

Madanat, S M; Park, Sejung; Kuhn, K D

2006-01-01T23:59:59.000Z

316

The National Energy Modeling System: An Overview 2000 - appendix  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, Integrating Module of the National Energy Modeling System: Model Documentation DOE/EIA-M057(2000) (Washington, DC, December 1999). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2000) (Washington, DC, December 1999). Energy Information Administration, Documentation of the DRI Model of the U.S. Economy, DOE/EIA- M061 (Washington, DC, December 1993). Energy Information Administration, NEMS International Energy Module: Model Documentation Report, DOE/EIA-M071(99) (Washington, DC, February 1999).

317

Modeling for Process Control: High-Dimensional Systems  

SciTech Connect

Most of other technologically important systems (among them, powders and other granular systems) are intrinsically nonlinear. This project is focused on building the dynamical models for granular systems as a prototype for nonlinear high-dimensional systems exhibiting complex non-equilibrium phenomena. Granular materials present a unique opportunity to study these issues in a technologically important and yet fundamentally interesting setting. Granular systems exhibit a rich variety of regimes from gas-like to solid-like depending on the external excitation. Based the combination of the rigorous asymptotic analysis, available experimental data and nonlinear signal processing tools, we developed a multi-scale approach to the modeling of granular systems from detailed description of grain-grain interaction on a micro-scale to continuous modeling of large-scale granular flows with important geophysical applications.

Lev S. Tsimring

2008-09-15T23:59:59.000Z

318

Using Modelica for Physical Modeling of Air-Conditioning Systems  

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

Using Modelica for Physical Modeling of Air-Conditioning Systems Using Modelica for Physical Modeling of Air-Conditioning Systems Speaker(s): Jonas Eborn Date: August 23, 2007 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Michael Wetter The Air Conditioning library is a commercial Modelica library for the steady-state and transient simulation of air conditioning systems using both compact micro-channel heat exchangers as well as fin-and-tube type heat exchangers. Currently it is mostly used by automotive OEMs and suppliers that need high-accuracy system level models to evaluate energy efficiency of systems developed under the pressure of reduced design cycle times. The library also has applications in other areas, including aircraft cooling systems and residential air-conditioning. The Air Conditioning library contains published correlations for heat and mass transfer and

319

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

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description ofthe NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in supportof its models (Public Law 94-385, section 57.b2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

T. Crawford Honeycutt

1998-01-01T23:59:59.000Z

320

EIA - The National Energy Modeling System: An Overview 2003-Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction The National Energy Modeling System: An Overview 2003 Introduction The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2025. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview 2003 presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

Note: This page contains sample records for the topic "input-output modeling system" 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

PYRO, a system for modeling fuel reprocessing  

Science Conference Proceedings (OSTI)

Compact, on-site fuel reprocessing and waste management for the Integral Fast Reactor are based on the pyrochemical reprocessing of metal fuel. In that process, uranium and plutonium in spent fuel are separated from fission products in an electrorefiner using liquid cadmium and molten salt solvents. Quantitative estimates of the distribution of the chemical elements among the metal and salt phases are essential for development of both individual pyrochemical process steps and the complete process. This paper describes the PYRO system of programs used to generate reliable mass flows and compositions.

Ackerman, J.P.

1989-01-01T23:59:59.000Z

322

Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities  

SciTech Connect

The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.

Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina

2012-09-01T23:59:59.000Z

323

Enhanced Classifications of Engineered Paved Surfaces for Urban Systems Modeling  

Science Conference Proceedings (OSTI)

There is a greater need than ever for the ability to accurately model urban system impacts resulting around the planet. Rapid urbanization is transforming landscapes from vegetation to an engineered infrastructure and thus altering land cover and ...

Jay Golden; W. C. Chuang; W. L. Stefanov

2009-06-01T23:59:59.000Z

324

South Atlantic Multidecadal Variability in the Climate System Model  

Science Conference Proceedings (OSTI)

Strong multidecadal variability is detected in a 300-yr integration of the NCAR Climate System Model in the South Atlantic region, through the application of two signal recognition techniques: the multitaper method and singular spectrum analysis. ...

Ilana Wainer; Silvia A. Venegas

2002-06-01T23:59:59.000Z

325

Approach for modelling of large maritime infrastructure systems  

Science Conference Proceedings (OSTI)

Simulation studies for large infrastructure systems often consists of a large number of experiments. Performing all experiments, and the required adjustments to simulation models, is time consuming. In addition it is difficult to keep track of all performed ...

Edwin C. Valentin; Sicco Steijaert; Rienk A. Bijlsma; Piero Silva

2005-12-01T23:59:59.000Z

326

Modeling Supercritical Systems With Tough2- The Eoslsc Equation...  

Open Energy Info (EERE)

| Sign Up Search Page Edit with form History Facebook icon Twitter icon Modeling Supercritical Systems With Tough2- The Eoslsc Equation Of State Module And A Basin And Range...

327

Rock-physics Models for Gas-hydrate Systems Associated  

E-Print Network (OSTI)

at Austin, Austin, Texas, U.S.A. ABSTRACT R ock-physics models are presented describing gas-hydrate systems. Knapp, and R. Boswell, eds., Natural gas hydrates--Energy resource potential and associated geologic

Texas at Austin, University of

328

Second Workshop on Coupling Technologies for Earth System Models  

Science Conference Proceedings (OSTI)

The Second Workshop on Coupling Technologies for Earth System Models (CW2013) was recently held at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. The goals of the workshop were to update participants on recent developments in ...

Rocky Dunlap; Mariana Vertenstein; Sophie Valcke; Tony Craig

329

Modeling of a Signal Processing System for Aircraft Air Data...  

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

Modeling of a Signal Processing System for Aircraft Air Data Instrumentation Speaker(s): Thomas John Rohloff Date: September 21, 1998 - 12:00pm Location: 90-3148 Seminar HostPoint...

330

Review and evaluation of national airspace system models  

E-Print Network (OSTI)

Abstract from Technical Report Documentation Page: This report is intended to serve as a guide to the availability and capability of state-of-the-art analytical and simulation models of the National Airspace System (NAS). ...

Odoni, Amedeo R.

1979-01-01T23:59:59.000Z

331

Modeling of Porous Electrodes in Molten-Salt Systems  

E-Print Network (OSTI)

of Porous Electrodes in Molten-Salt Systems^ John Newmanon High-Temperature Molten Salt B a t - teries, Argonneby the modeling of molten-salt cells, including some

Newman, John

1986-01-01T23:59:59.000Z

332

A Model of Adaptation in Collaborative Multi-Agent Systems  

Science Conference Proceedings (OSTI)

Adaptation is an essential requirement for autonomous agent systems functioning in uncertain dynamic environments. Adaptation allows agents to change their behavior in order to improve the overall sys tem performance. We describe a general mechanism ... Keywords: adaptation, mathematical models, robotics

Kristina Lerman

2004-09-01T23:59:59.000Z

333

The National Energy Modeling System: An overview 1998  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.

NONE

1998-02-01T23:59:59.000Z

334

Integrated Global System Modeling Framework | Open Energy Information  

Open Energy Info (EERE)

Integrated Global System Modeling Framework Integrated Global System Modeling Framework 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: Integrated Global System Modeling Framework Agency/Company /Organization: MIT Joint Program on the Science and Policy of Global Change Sector: Climate, Energy Focus Area: Renewable Energy Phase: Determine Baseline, Evaluate Options Topics: - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Not Available Website: globalchange.mit.edu/research/IGSM Cost: Free Related Tools Transport Co-benefits Calculator General Equilibrium Modeling Package (GEMPACK)

335

Nuclear Systems Modeling and Design Analysis - Nuclear Engineering Division  

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

Nuclear Systems Nuclear Systems Modeling and Design Analysis CAPABILITIES Overview Nuclear Systems Modeling and Design Analysis Nuclear Systems Technologies Risk and Safety Assessments Nonproliferation and National Security Materials Testing Engineering Computation & Design Engineering Experimentation Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Capabilities Nuclear Systems Modeling and Design Analysis Bookmark and Share Reactor Physics and Fuel Cycle Analysis Reactor Physics and Fuel Cycle Analysis We have played a major role in the design and analysis of most existing and past reactor types and of many

336

A model of organizational employees' e-learning systems acceptance  

Science Conference Proceedings (OSTI)

This study examines the factors that influence employees' adoption and use of e-learning systems and tests the applicability of the technology acceptance model (TAM) in the organizational context. We examined the relationship of employees' perceptions ... Keywords: Computer self-efficacy, Organizational support, Subjective norm, Task equivocality, Technology acceptance model

Yi-Hsuan Lee; Yi-Chuan Hsieh; Chun-Yuan Ma

2011-04-01T23:59:59.000Z

337

Integrating Module of the National Energy Modeling System  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2010-06-01T23:59:59.000Z

338

Integration of agricultural and energy system models for biofuel assessment  

Science Conference Proceedings (OSTI)

This paper presents a coupled modeling framework to capture the dynamic linkages between agricultural and energy markets that have been enhanced through the expansion of biofuel production, as well as the environmental impacts resulting from this expansion. ... Keywords: Agricultural markets, Biofuels, Energy systems, Environment, Modeling

A. Elobeid, S. Tokgoz, R. Dodder, T. Johnson, O. Kaplan, L. Kurkalova, S. Secchi

2013-10-01T23:59:59.000Z

339

Modelling light curves of binary systems: accounting for extended winds  

E-Print Network (OSTI)

We suggest a simple synthesis model of an eclipsing binary system which includes one component with strong stellar wind. Numerical simulations show that the shape of the light curve (and in particularly the widths of the minima) strongly depends on wind parameters. Wind effects are crucial in modelling light curves of binaries including e.g., WR stars.

Antokhina, E A; Cherepashchuk, A M

2013-01-01T23:59:59.000Z

340

Modeling and simulation to assist context aware system design  

Science Conference Proceedings (OSTI)

In this paper we present a modelling and visualization design approach for context-aware systems, specifically focusing on applications that support location tracking and that exhibit their behaviour as actuations in the deployment environment. The design ... Keywords: Context awareness, design tool, modelling, prototyping, simulation, test-bed, ubiquitous computing

Eleanor O'Neill; Owen Conlan; David Lewis

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Modeling of battery energy storage in the National Energy Modeling System  

DOE Green Energy (OSTI)

The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy`s Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated.

Swaminathan, S.; Flynn, W.T.; Sen, R.K. [Sentech, Inc., Bethesda, MD (United States)

1997-12-01T23:59:59.000Z

342

Model documentation Renewable Fuels Module of the National Energy Modeling System  

DOE Green Energy (OSTI)

This report documents the objectives, analaytical approach and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1996 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described.

NONE

1996-01-01T23:59:59.000Z

343

Modeling of Battery Energy Storage in the National Energy Modeling System  

E-Print Network (OSTI)

The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy's Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market Module of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated. MODELING OF BATTERY ENERGY STORAGE IN THE CONTENTS NATIONAL ENERGY MODELING SYSTEM iv CONTENTS Acknowledgments Sandia National Laboratories (SNL) would like to acknowledge and thank Dr. Christine E. Platt of the U.S. Department of Energy's Office of Utility Technologies for the support and funding of this work. Thanks are also due to Paul C. Butler and Abbas A. Akhil...

Shiva Swaminathan; William T. Flynn; Rajat K. Sen

1997-01-01T23:59:59.000Z

344

A standardized approach to PV system performance model validation.  

DOE Green Energy (OSTI)

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

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

2010-10-01T23:59:59.000Z

345

A root cause localization model for large scale systems  

Science Conference Proceedings (OSTI)

Root cause localization, the process of identifying the source of problems in a system using purely external observations, is a significant challenge in many large-scale systems. In this paper, we propose an abstract model that captures the common issues ...

Emre Kiciman; Lakshminarayanan Subramanian

2005-06-01T23:59:59.000Z

346

Modeling a Leadership-scale Storage System , Christopher Carothers1  

E-Print Network (OSTI)

an end-to-end storage system model of the Argonne Leadership Computing Facility's (ALCF) comput- ing collected from the ALCF's storage system for a variety of synthetic I/O workloads and scales. we present in the ALCF. As an early study of the CODES project, our simulators can quickly and accurately simulate

347

Statistical model checking qos properties of systems with SBIP  

Science Conference Proceedings (OSTI)

BIP is a component-based framework supporting rigorous design of embedded systems. This paper presents SBIP, an extension of BIP that relies on a new stochastic semantics that enables verification of large-size systems by using Statistical Model Checking. ...

Saddek Bensalem; Marius Bozga; Benoit Delahaye; Cyrille Jegourel; Axel Legay; Ayoub Nouri

2012-10-01T23:59:59.000Z

348

Perception modeling for human-like artificial sensor systems  

Science Conference Proceedings (OSTI)

In this article we present an approach to the design of human-like artificial systems. It uses a perception model to describe how sensory information is processed for a particular task and to correlate human and artificial perception. Since human-like ... Keywords: Active perception, Artificial hand, Artificial perceptual systems, Dexterous manipulation, Electronic tongue, Human-based sensors, Passive perception

Linn Robertsson; Boyko Iliev; Rainer Palm; Peter Wide

2007-05-01T23:59:59.000Z

349

A CAD model based tracking system for visually guided microassembly  

Science Conference Proceedings (OSTI)

We present a visual feedback method for closed loop control of automated microassembly. A CAD model based multi-camera visual tracking system that is well suited for flexible automation and assembly of complex 3D geometries was developed. The system ... Keywords: CAD, Microassembly, Micromanipulation, Visual servoing, Visual tracking

Kemal Berk Yesin; Bradley J. Nelson

2005-07-01T23:59:59.000Z

350

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

351

Fuel Cell Systems Sensors Air Management Benchmarking Modeling  

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

Systems Systems F u e l P r o c e s s o r Sensors Air Management Benchmarking Modeling Patrick Davis Patrick Davis Targets and Status 50 kWe (net) Integrated Fuel Cell Power System 5000 2000 1000 Hours Durability 45 125 275 $/kW Cost (including H2 storage) 650 500 400 W/L Power density (w/o H2 stor) Operating on direct hydrogen 5000 2000 1000 Hours Durability 45 125 325 $/kW Cost 325 250 140 W/L Power density Operating on Tier 2 gasoline containing 30 ppm sulfur, average 2010 2005 2003 status Units Characteristics Projects Fuel Cell Power Systems Analysis ANL NREL TIAX Directed Technologies, Inc. TIAX TIAX * Fuel Cell Systems Analysis * Fuel Cell Vehicle Systems Analysis * Cost Analyses of Fuel Cell Stacks/ Systems * DFMA Cost Estimates of Fuel Cell/ Reformer Systems at Low, Medium, & High Production Rates * Assessment of Fuel Cell Auxiliary

352

Chemical Geothermometers And Mixing Models For Geothermal Systems | Open  

Open Energy Info (EERE)

Geothermometers And Mixing Models For Geothermal Systems Geothermometers And Mixing Models For Geothermal Systems Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Chemical Geothermometers And Mixing Models For Geothermal Systems Details Activities (1) Areas (1) Regions (0) Abstract: Qualitative chemical geothermometers utilize anomalous concentrations of various "indicator" elements in groundwaters, streams, soils, and soil gases to outline favorable places to explore for geothermal energy. Some of the qualitative methods, such as the delineation of mercury and helium anomalies in soil gases, do not require the presence of hot springs or fumaroles. However, these techniques may also outline fossil thermal areas that are now cold. Quantitative chemical geothermometers and mixing models can provide information about present probable minimum

353

EIA - The National Energy Modeling System: An Overview 2003 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview 2003 Preface The National Energy Modeling System: An Overview 2003 provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003 (AEO2003), (DOE/EIA-0383(2003)), released in January 2003. AEO2003 presents national forecasts of energy markets for five primary cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

354

Water Rights Analysis Package (WRAP) Modeling System Reference Manual  

E-Print Network (OSTI)

The Texas Water Resources Institute (TWRI), and many other agencies and organizations, have worked with Ralph Wurbs over the years to develop WRAP (the Water Rights Analysis Package). The WRAP model simulates management of the water resources of a river basin, or multiple-basin region, under a priority-based water allocation system. The model facilitates assessment of hydrologic and institutional water availability/reliability for existing and proposed requirements for water use and management. Basin-wide impacts of water resources development projects and management strategies may be evaluated. The software package is generalized for application to any river/reservoir/use system, with input files being developed for the particular river basin of concern. The model is documented by reference and users manuals that may be downloaded from this site along with the software. WRAP is incorporated in the Texas Commission on Environmental Quality (TCEQ) Water Availability Modeling (WAM) System.

Wurbs, R.

2012-10-01T23:59:59.000Z

355

Model documentation renewable fuels module of the National Energy Modeling System  

DOE Green Energy (OSTI)

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

NONE

1997-04-01T23:59:59.000Z

356

White paper on VU for Modeling Nuclear Energy Systems  

SciTech Connect

The purpose of this whitepaper is to provide a framework for understanding the role that Verification and Validation (V&V), Uncertainty Quantification (UQ) and Risk Quantification, collectively referred to as VU, is expected to play in modeling nuclear energy systems. We first provide background for the modeling of nuclear energy based systems. We then provide a brief discussion that emphasizes the critical elements of V&V as applied to nuclear energy systems but is general enough to cover a broad spectrum of scientific and engineering disciplines that include but are not limited to astrophysics, chemistry, physics, geology, hydrology, chemical engineering, mechanical engineering, civil engineering, electrical engineering, nu nuclear engineering material clear science science, etc. Finally, we discuss the critical issues and challenges that must be faced in the development of a viable and sustainable VU program in support of modeling nuclear energy systems.

Klein, R; Turinsky, P

2009-05-07T23:59:59.000Z

357

Surficial Extent And Conceptual Model Of Hydrothermal System At Mount  

Open Energy Info (EERE)

Surficial Extent And Conceptual Model Of Hydrothermal System At Mount Surficial Extent And Conceptual Model Of Hydrothermal System At Mount Rainier, Washington Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Surficial Extent And Conceptual Model Of Hydrothermal System At Mount Rainier, Washington Details Activities (4) Areas (2) Regions (0) Abstract: A once massive hydrothermal system was disgorged from the summit of Mount Rainier in a highly destructive manner about 5000 years ago. Today, hydrothermal processes are depositing clayey alteration products that have the potential to reset the stage for similar events in the future. Areas of active hydrothermal alteration occur in three representative settings: 1. (1) An extensive area (greater than 12,000 m2) of heated ground and slightly acidic boiling-point fumaroles at 76-82°C at

358

Energy consumption and CO2emissions of Beijing heating system: based on a system dynamics model  

Science Conference Proceedings (OSTI)

Beijing is a typical North China city, and it uses about 15-18% of its total energy consumption for heating. The building construction industry is also a key source of CO2 emissions. This article, based on a system dynamics model, aims to simulate and ... Keywords: CO2 emissions, energy consumption, heating system, system dynamics

Hefeng Tong; Weishuang Qu

2011-11-01T23:59:59.000Z

359

Natural gas transmission and distribution model of the National Energy Modeling System  

SciTech Connect

The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

1997-02-01T23:59:59.000Z

360

HIERARCHICAL METHODOLOGY FOR MODELING HYDROGEN STORAGE SYSTEMS PART II: DETAILED MODELS  

DOE Green Energy (OSTI)

There is significant interest in hydrogen storage systems that employ a media which either adsorbs, absorbs or reacts with hydrogen in a nearly reversible manner. In any media based storage system the rate of hydrogen uptake and the system capacity is governed by a number of complex, coupled physical processes. To design and evaluate such storage systems, a comprehensive methodology was developed, consisting of a hierarchical sequence of models that range from scoping calculations to numerical models that couple reaction kinetics with heat and mass transfer for both the hydrogen charging and discharging phases. The scoping models were presented in Part I [1] of this two part series of papers. This paper describes a detailed numerical model that integrates the phenomena occurring when hydrogen is charged and discharged. A specific application of the methodology is made to a system using NaAlH{sub 4} as the storage media.

Hardy, B; Donald L. Anton, D

2008-12-22T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Creating suites of models with system entity structure: global warming example  

Science Conference Proceedings (OSTI)

We describe how to develop a suite of models in the MS4 Modeling Environment. The approach employs the operation of merging of System Entity Structures supported by the environment. After construction, the suite of models can be hosted on Model Store, ... Keywords: component-based modeling, suite of models, system entity structure, systems of systems

Bernard P. Zeigler, Chungman Seo, Robert Coop, Doohwan Kim

2013-04-01T23:59:59.000Z

362

Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 1  

Science Conference Proceedings (OSTI)

This volume contains input data and parameters used in the model of the transportation sector of the National Energy Modeling System. The list of Transportation Sector Model variables includes parameters for the following: Light duty vehicle modules (fuel economy, regional sales, alternative fuel vehicles); Light duty vehicle stock modules; Light duty vehicle fleet module; Air travel module (demand model and fleet efficiency model); Freight transport module; Miscellaneous energy demand module; and Transportation emissions module. Also included in these appendices are: Light duty vehicle market classes; Maximum light duty vehicle market penetration parameters; Aircraft fleet efficiency model adjustment factors; and List of expected aircraft technology improvements.

NONE

1998-01-01T23:59:59.000Z

363

Modeling and Simulation of a Solar Assisted Desiccant Cooling System  

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

Modeling and Simulation of a Solar Assisted Desiccant Cooling System Modeling and Simulation of a Solar Assisted Desiccant Cooling System Speaker(s): Chadi Maalouf Date: December 2, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Peng Xu Increased living standards and high occupants comfort demands lead to a growth in air conditioning market. This results in high energy consumption and high CO2 emissions. For these reasons, the solar desiccant cooling system is proposed as an alternative to traditional air conditioning systems. This system comprises a desiccant wheel containing Lithium Chloride in tandem with a rotating heat exchanger and two humidifiers on both supply and return air. The required regeneration temperature for the desiccant wheel varies between 40oC and 70oC which makes possible the use

364

Building energy modeling programs comparison Research on HVAC systems  

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

energy modeling programs comparison Research on HVAC systems energy modeling programs comparison Research on HVAC systems simulation part Title Building energy modeling programs comparison Research on HVAC systems simulation part Publication Type Journal Year of Publication 2013 Authors Zhou, Xin, Da Yan, Tianzhen Hong, and Dandan Zhu Keywords Building energy modeling programs, comparison tests, HVAC system simulation, theory analysis Abstract Building energy simulation programs are effective tools for the evaluation of building energy saving and optimization of design. The fact that large discrepancies exist in simulated results when different BEMPs are used to model the same building has caused wide concern. Urgent research is needed to identify the main elements that contribute towards the simulation results. This technical report summarizes methodologies, processes, and the main assumptions of three building energy modeling programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E, and test cases are designed to analyze the calculation process in detail. This will help users to get a better understanding of BEMPs and the research methodology of building simulation. This will also help build a foundation for building energy code development and energy labeling programs.

365

Integration of Feedstock Assembly System and Cellulosic Ethanol Conversion Models to Analyze Bioenergy System Performance  

DOE Green Energy (OSTI)

Research barriers continue to exist in all phases of the emerging cellulosic ethanol biorefining industry. These barriers include the identification and development of a sustainable and abundant biomass feedstock, the assembly of viable assembly systems formatting the feedstock and moving it from the field (e.g., the forest) to the biorefinery, and improving conversion technologies. Each of these phases of cellulosic ethanol production are fundamentally connected, but computational tools used to support and inform analysis within each phase remain largely disparate. This paper discusses the integration of a feedstock assembly system modeling toolkit and an Aspen Plus® conversion process model. Many important biomass feedstock characteristics, such as composition, moisture, particle size and distribution, ash content, etc. are impacted and most effectively managed within the assembly system, but generally come at an economic cost. This integration of the assembly system and the conversion process modeling tools will facilitate a seamless investigation of the assembly system conversion process interface. Through the integrated framework, the user can design the assembly system for a particular biorefinery by specifying location, feedstock, equipment, and unit operation specifications. The assembly system modeling toolkit then provides economic valuation, and detailed biomass feedstock composition and formatting information. This data is seamlessly and dynamically used to run the Aspen Plus® conversion process model. The model can then be used to investigate the design of systems for cellulosic ethanol production from field to final product.

Jared M. Abodeely; Douglas S. McCorkle; Kenneth M. Bryden; David J. Muth; Daniel Wendt; Kevin Kenney

2010-09-01T23:59:59.000Z

366

Lifecycle Assessment of Beijing-Area Building Energy Use and Emissions: Summary Findings and Policy Applications  

E-Print Network (OSTI)

input-output LCA model,” Energy Policy, In Press, Correctedmodels forecast,” Energy Policy 36, no. 5 (May 2008): 1736-input-output LCA model,” Energy Policy In Press, Corrected

Aden, Nathaniel

2010-01-01T23:59:59.000Z

367

A Geochemical Model Of The Platanares Geothermal System, Honduras | Open  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » A Geochemical Model Of The Platanares Geothermal System, Honduras Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Geochemical Model Of The Platanares Geothermal System, Honduras Details Activities (0) Areas (0) Regions (0) Abstract: Results of exploration drilling combined with results of geologic, geophysical, and hydrogeochemical investigations have been used to construct a geochemical model of the Platanares geothermal system, Honduras. Three coreholes were drilled, two of which produced fluids from fractured Miocene andesite and altered Cretaceous to Eocene conglomerate at

368

System Advisor Model, SAM 2011.12.2: General Description  

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

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

369

The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

3) 3) The National Energy Modeling System: An Overview 2003 March 2003 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html The National Energy Modeling System: An Overview 2003 provides a summary description of the National En- ergy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, im- ports, and

370

Hybrid2: The hybrid power system simulation model  

DOE Green Energy (OSTI)

There is a large-scale need and desire for energy in remote communities, especially in the developing world; however the lack of a user friendly, flexible performance prediction model for hybrid power systems incorporating renewables hindered the analysis of hybrids (including wind turbines, PV, diesel generators, AC/DC energy storage) as options to conventional solutions. A user friendly model was needed with the versatility to simulate the many system locations, widely varying hardware configurations, and differing control options for potential hybrid power systems. To meet these ends, NREL and U. Mass. researchers developed the Hybrid2 software. This paper provides an overview of the capabilities, features, and functionality of the Hybrid2 code, discusses its validation and future plans. Model availability and technical support provided to Hybrid2 users are also discussed.

Baring-Gould, E I; Green, H J; van Dijk, V A.P. [National Renewable Energy Lab., Golden, CO (United States); Manwell, J F [Massachusetts Univ., Amherst, MA (United States). Renewable Energy Research Lab.

1996-07-01T23:59:59.000Z

371

Modeling studies of geothermal systems with a free water surface  

DOE Green Energy (OSTI)

A numerical simulator was developed for the modeling of air-steam-water systems. The simulator was applied to various problems involving injection into or production from a geothermal reservoir in hydraulic communication with a shallow free-surface aquifer. First, a one-dimensional column problem is considered and the water level movement during exploitation is studied using different capillary pressure functions. Second, a two-dimensional radial model is used to study and compare reservoir depletion for cases with and without a free-surface aquifer. Finally, the contamination of a shallow free-surface aquifer due to cold water injection is investigated. The primary aim of these studies is to obtain an understanding of the response of a reservoir in hydraulic communication with a unconfined aquifer during exploitation or injection and to determine under which circumstances conventional modeling techniques (fully saturated systems) can be applied to such systems.

Bodvarsson, G.S.; Pruess, K.

1983-12-01T23:59:59.000Z

372

Gaussian Process Modeling: Applications to Building Systems and Algorithmic  

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

Gaussian Process Modeling: Applications to Building Systems and Algorithmic Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges Speaker(s): Victor M. Zavala Date: November 5, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette Michael Sohn We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kernel or covariance matrix. In addition, it derives from a Bayesian framework and, as such, it naturally provides predictive probability distributions. We describe how these features can be exploited in Measurement and Verification (M&V) tasks and

373

MIT Integrated Global System Model (IGSM) Version 2: Model Description and Baseline Evaluation  

E-Print Network (OSTI)

The MIT Integrated Global System Model (IGSM) is designed for analyzing the global environmental changes that may result from anthropogenic causes, quantifying the uncertainties associated with the projected changes, and ...

Sokolov, Andrei P.

374

Self-constructive high-rate system energy modeling for battery-powered mobile systems  

E-Print Network (OSTI)

System energy models are important for energy optimization and management in mobile systems. However, existing system energy models are built in a lab setting with the help from a second computer. Not only are they labor-intensive; but also they do not adequately account for the great diversity in the hardware and usage of mobile systems. Moreover, existing system energy models are intended for energy estimation for time intervals of one second or longer; they do not provide the required rate for fine-grain use such as per-application energy accounting. In this work, we study a self-modeling paradigm in which a mobile system automatically generates its energy model without any external assistance. Our solution, Sesame, leverages the possibility of self power measurement through the smart battery interface and employs a suite of novel techniques to achieve accuracy and rate much higher than that of the smart battery interface. We report the implementation and evaluation of Sesame on a laptop and a smartphone. The experiment results show that Sesame is able to generate system energy models of 95 % accuracy at one estimation per second and of 88 % accuracy at one estimation per 10 ms, without any external assistance. Two fiveday field studies with four laptop and four smartphones users further demonstrate the effectiveness, efficiency, and noninvasiveness of Sesame.

Mian Dong; Lin Zhong

2011-01-01T23:59:59.000Z

375

Experimental-based modeling of a support structure as part of a full system model  

SciTech Connect

Structural dynamic systems are often attached to a support structure to simulate proper boundary conditions during testing. In some cases the support structure is fairly simple and can be modeled by discrete springs and dampers. In other cases the desired test conditions necessitate the use of a support structural that introduces dynamics of its own. For such cases a more complex structural dynamic model is required to simulate the response of the full combined system. In this paper experimental frequency response functions, admittance function modeling concepts, and least squares reductions are used to develop a support structure model including both translational and rotational degrees of freedom at an attachment location. Subsequently, the modes of the support structure are estimated, and a NASTRAN model is created for attachment to the tested system.

CARNE,THOMAS G.; DOHRMANN,CLARK R.

2000-02-29T23:59:59.000Z

376

Macro System Model (MSM) User Guide, Version 1.3  

DOE Green Energy (OSTI)

This user guide describes the macro system model (MSM). The MSM has been designed to allow users to analyze the financial, environmental, transitional, geographical, and R&D issues associated with the transition to a hydrogen economy. Basic end users can use the MSM to answer cross-cutting questions that were previously difficult to answer in a consistent and timely manner due to various assumptions and methodologies among different models.

Ruth, M.; Diakov, V.; Sa, T.; Goldsby, M.

2011-09-01T23:59:59.000Z

377

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

DOE Green Energy (OSTI)

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

Wagner, M. J.; Zhu, G.

2012-09-01T23:59:59.000Z

378

System-level modeling for geological storage of CO2  

SciTech Connect

One way to reduce the effects of anthropogenic greenhousegases on climate is to inject carbon dioxide (CO2) from industrialsources into deep geological formations such as brine formations ordepleted oil or gas reservoirs. Research has and is being conducted toimprove understanding of factors affecting particular aspects ofgeological CO2 storage, such as performance, capacity, and health, safetyand environmental (HSE) issues, as well as to lower the cost of CO2capture and related processes. However, there has been less emphasis todate on system-level analyses of geological CO2 storage that considergeological, economic, and environmental issues by linking detailedrepresentations of engineering components and associated economic models.The objective of this study is to develop a system-level model forgeological CO2 storage, including CO2 capture and separation,compression, pipeline transportation to the storage site, and CO2injection. Within our system model we are incorporating detailedreservoir simulations of CO2 injection and potential leakage withassociated HSE effects. The platform of the system-level modelingisGoldSim [GoldSim, 2006]. The application of the system model is focusedon evaluating the feasibility of carbon sequestration with enhanced gasrecovery (CSEGR) in the Rio Vista region of California. The reservoirsimulations are performed using a special module of the TOUGH2 simulator,EOS7C, for multicomponent gas mixtures of methane and CO2 or methane andnitrogen. Using this approach, the economic benefits of enhanced gasrecovery can be directly weighed against the costs, risks, and benefitsof CO2 injection.

Zhang, Yingqi; Oldenburg, Curtis M.; Finsterle, Stefan; Bodvarsson, Gudmundur S.

2006-04-24T23:59:59.000Z

379

Further Developments on the Geothermal System Scoping Model: Preprint  

Science Conference Proceedings (OSTI)

This paper discusses further developments and refinements for the uses of the Geothermal System Scoping Model in an effort to provide a means for performing a variety of trade-off analyses of surface and subsurface parameters, sensitivity analyses, and other systems engineering studies in order to better inform R&D direction and investment for the development of geothermal power into a major contributor to the U.S. energy supply.

Antkowiak, M.; Sargent, R.; Geiger, J. W.

2010-07-01T23:59:59.000Z

380

Integrating Module of the National Energy Modeling System 2007, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2007-05-23T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Integrating Module of the National Energy Modeling System 1995, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1995-05-01T23:59:59.000Z

382

Integrating Module of the National Energy Modeling System 1997, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1997-05-01T23:59:59.000Z

383

Integrating Module of the National Energy Modeling System 2004, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2004-02-01T23:59:59.000Z

384

Integrating Module of the National Energy Modeling System 2001, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2000-12-01T23:59:59.000Z

385

Integrating Module of the National Energy Modeling System 2009, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2009-05-01T23:59:59.000Z

386

Integrating Module of the National Energy Modeling System 1999, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1998-12-01T23:59:59.000Z

387

Integrating Module of the National Energy Modeling System 2000, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1999-12-01T23:59:59.000Z

388

Integrating Module of the National Energy Modeling System 2008, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2008-08-29T23:59:59.000Z

389

Integrating Module of the National Energy Modeling System 2002, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2001-12-01T23:59:59.000Z

390

Integrating Module of the National Energy Modeling System 2005, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2005-05-01T23:59:59.000Z

391

Integrating Module of the National Energy Modeling System 1996 Model Documentation - NOT PUBLISHED  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

392

Integrating Module of the National Energy Modeling System 2006, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2006-06-01T23:59:59.000Z

393

Rebuilding the Coal Model in the Energy Information Administration's National Energy Modeling System  

Science Conference Proceedings (OSTI)

The Energy Information Administration uses the National Energy Modeling System (NEMS) to forecast prices and quantities in energy markets. The coal model that the Energy Information Administration first used in NEMS contributed to convergence problems ... Keywords: GOVERNMENT-ENERGY POLICIES, NATURAL RESOURCES-ENERGY, PROGRAMMING--LINEAR

Melinda Hobbs; Michael Mellish; Frederic H. Murphy; Richard Newcombe; Reginald Sanders; Peter Whitman

2001-09-01T23:59:59.000Z

394

Integrating Module of the National Energy Modeling System 1998 Model Documentation - NOT PUBLISHED  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

John Maples

2013-09-05T23:59:59.000Z

395

System Modeling of Gas Engine Driven Heat Pump  

SciTech Connect

To improve the system performance of the GHP, modeling and experimental study has been made by using desiccant system in cooling operation (particularly in high humidity operations) and suction line waste heat recovery to augment heating capacity and efficiency. The performance of overall GHP system has been simulated by using ORNL Modulating Heat Pump Design Software, which is used to predict steady-state heating and cooling performance of variable-speed vapor compression air-to-air heat pumps for a wide range of operational variables. The modeling includes: (1) GHP cycle without any performance improvements (suction liquid heat exchange and heat recovery) as a baseline (both in cooling and heating mode), (2) the GHP cycle in cooling mode with desiccant system regenerated by waste heat from engine incorporated, (3) GHP cycle in heating mode with heat recovery (recovered heat from engine). According to the system modeling results, by using desiccant system regenerated by waste heat from engine, the SHR can be lowered to 40%. The waste heat of the gas engine can boost the space heating efficiency by 25% in rated operating conditions.

Mahderekal, Isaac [Oak Ridge National Laboratory (ORNL); Shen, Bo [ORNL; Vineyard, Edward [Oak Ridge National Laboratory (ORNL)

2012-01-01T23:59:59.000Z

396

Reservoir modeling of the Phase II Hot Dry Rock System  

DOE Green Energy (OSTI)

The Phase II system has been created with a series of hydraulic fracturing experiments at the Fenton Hill Hot Dry Rock site. Experiment 2032, the largest of the fracturing operations, involved injecting 5.6 million gallons (21,200m/sup 3/) of water into wellbore EE-2 over the period December 6-9, 1983. The experiment has been modeled using geothermal simulator FEHM developed at Los Alamos National Laboratory. The modeling effort has produced strong evidence of a large highly fractured reservoir. Two long term heat extraction schemes for the reservoir are studied with the model.

Zyvoloski, G.

1984-01-01T23:59:59.000Z

397

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

Science Conference Proceedings (OSTI)

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

NONE

1998-01-01T23:59:59.000Z

398

SARA (System ARchitects Apprentice): Modeling, analysis, and simulation support for design of concurrent systems  

Science Conference Proceedings (OSTI)

An environment to support designers in the modeling, analysis and simulation of concurrent systems is described. It is shown how a fully nested structure model supports multilevel design and focuses attention on the interfaces between the modules which serve to encapsulate behavior. Using simple examples the paper indicates how a formal graph model can be used to model behavior in three domains: control flow, data flow, and interpretation. The effectiveness of the explicity environment model in SARA is discussed and the capability to analyze correctness and evaluate performance of a system model are demonstrated. A description of the integral help designed into SARA shows how the designer can be offered consistent use of any new tool introduced to support the design process.

Estrin, G.; Fenchel, R.S.; Razouk, R.R.; Vernon, M.K.

1986-02-01T23:59:59.000Z

399

Analysis of Attic Radiant Barrier Systems Using Mathematical Models  

E-Print Network (OSTI)

During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels of modeling capability have been developed. A very simplified model based on ASHRAE procedures in used to study the sensitivity of RBS performance parameters, and a very detailed finite element model is used to study highly complex phenomena, including moisture adsorption and desorption in attics. The speed of the simple model allows a large range of attic parameters to be studies quickly, and the finite element model provides a detailed understanding of combined heat and moisture transport in attics. This paper concentrates on a parametric analysis of attic RBS using the simplified model. The development of the model is described, and results of the parametric analyses are presented and discussed. Preliminary results from the finite element model are also compared with measurements from a test attic to illustrate the effects of moisture adsorption and desorption in common attics.

Fairey, P.; Swami, M.

1988-01-01T23:59:59.000Z

400

Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint  

DOE Green Energy (OSTI)

The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.

Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.

2012-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

Multi-formalism modelling and model transformation for the design of reactive systems  

E-Print Network (OSTI)

based design. This paper presents a development process based on modelling, simulation, and code synthesis. The DCharts formalism, a Statecharts variant with extensions, is used to model a small application to demonstrate our approach: a traffic light. The development of this system highlights the use of various formalisms with appropriate supporting tools: AToM 3, A Tool for Multi-formalism and Meta-Modelling, is used as a multi-formalism visual modelling environment; SVM is the simulation engine used to experiment with prototype models; SCC is the code synthesizer that generates reusable source code in a variety of target languages. Transformation onto the Communicating Sequential Processes (CSP) formalism allows for model checking using the Failures Divergences Refinement Checker (FDR2) model checker. We demonstrate how using multiple formalisms as well as model transformations during the design process can drastically improve productivity, reliability and reusability. 1. MODELLING, ANALYSIS AND SIMU-LATION BASED DESIGN Compared to traditional software programming, modelling and simulation based (software) design has many advantages. By modelling the structure and behaviour of the system at an appropriate level of abstraction in the most appropriate formalism(s), accidental complexity will be minimized, and the designer can focus on essential issues instead of being bogged down with implementation details at early stages in the development process. 1.1. The process Our modelling and simulation based design process is illustrated in Figure 1. The system designer starts from a set of requirements, which constrain the design space. In the example given here, the requirements are not modelled explicitly

Thomas Huining Feng; Miriam Zia; Hans Vangheluwe

2007-01-01T23:59:59.000Z

402

An optimization-model-based interactive decision support system for regional energy management systems planning under uncertainty  

Science Conference Proceedings (OSTI)

In this study, an interactive decision support system (UREM-IDSS) has been developed based on an inexact optimization model (UREM, University of Regina Energy Model) to aid decision makers in planning energy management systems. Optimization modeling, ... Keywords: Decision making, Energy management systems, Green house gas, Interactive decision support system, Optimization, Sustainable development, Uncertainty

Y. P. Cai; G. H. Huang; Q. G. Lin; X. H. Nie; Q. Tan

2009-03-01T23:59:59.000Z

403

NIST.gov - Computer Security Division - Computer Security ...  

Science Conference Proceedings (OSTI)

... PIV Implementation, Daniel Wood, Treasury; Electricity Subsector Cybersecurity ... Basic Input/Output System (BIOS) Security - Andrew Regenscheid ...

404

KUNLP system using Classification Information Model at SENSEVAL-2  

E-Print Network (OSTI)

model or CIM classi- fies instances by considering the discrimination abil- ity of their features, which was proven to be useful for word sense disambiguation at SENSEVAL-1. But the CIM has a problem of information loss. KUNLP system at SENSEVAL-2 uses a modified version of the CIM for word sense disambiguation. We

405

Dynamic model of power system operation incorporating load control  

SciTech Connect

Load management has been proposed as a means whereby an electric utility can reduce its requirements for additional generation, transmission, and distribution investments, shift fuel dependency from limited to more abundant energy resources, and improve the efficiency of the electric energy system. There exist, however, serious technological and economic questions which must be answered to define the cost trade-offs between initiating a load management strategy or adding additional capacity to meet the load. One aspect of this complex problem is to determine how the load profile might be modified by the load management option being considered. Towards this end, a model has been developed to determine how a power system with an active load control system should be operated to make the best use of its available resources. The model is capable of handling all types of conventional generating sources including thermal, hydro, and pumped storage units, and most appliances being considered for direct control including those with inherent or designed storage characteristics. The model uses a dynamic programming technique to determine the optimal operating strategy for a given set of conditions. The use of the model is demonstrated. Case study results indicate that the production cost savings that can be achieved through the use of direct load control are highly dependent on utility characteristics, load characteristics, storage capacity, and penetration. The load characteristics that produce the greatest savings are: large storage capacity; high coincidence with the system peak; large connected load per point; and moderately high diversity fraction.

Kuliasha, M.A.

1980-10-01T23:59:59.000Z

406

Evolutionary Role Model for Multi-Agent Systems  

Science Conference Proceedings (OSTI)

In sociology, the role concept is deeply researched to predict activities of human organizations and theorized with many sub-theories. In the same direction, multi-agent system researchers use the role concept to model and program the agents behaviours, ...

Erdem Eser Ekinci; O?uz Dikenelli

2009-11-01T23:59:59.000Z

407

Climate Sensitivity of the Community Climate System Model, Version 4  

Science Conference Proceedings (OSTI)

Equilibrium climate sensitivity of the Community Climate System Model, version 4 (CCSM4) is 3.20°C for 1° horizontal resolution in each component. This is about a half degree Celsius higher than in the previous version (CCSM3). The transient ...

C. M. Bitz; K. M. Shell; P. R. Gent; D. A. Bailey; G. Danabasoglu; K. C. Armour; M. M. Holland; J. T. Kiehl

2012-05-01T23:59:59.000Z

408

Energy Consumption Models and Predictions for Large-Scale Systems  

Science Conference Proceedings (OSTI)

Responsible, efficient and well-planned power consumption is becoming a necessity for monetary returns and scalability of computing infrastructures. While there are numerous sources from which power data can be obtained, analyzing this data is an intrinsically ... Keywords: Energy model, Grid'5000, distrbuted systems

Taghrid Samak, Christine Morin, David Bailey

2013-05-01T23:59:59.000Z

409

Modeling the Development and Use of Strategic Information Systems  

Science Conference Proceedings (OSTI)

The successful adoption of a strategic information system SIS is shown to hinge upon a favorable decision to develop a SIS and on a favorable decision to use the developed SIS. A model is exhibited that integrates the factors that lie behind these two ...

Francis D. Tuggle; H. Albert Napier

1994-10-01T23:59:59.000Z

410

System of models for transport processes in layered strata  

Science Conference Proceedings (OSTI)

In this paper the normalized form of the generalized integral parabolic spline is described, which interpolates the integral averaged values of piecewise-smooth function. The three-dimensional system of partial differential equations as model of transport ... Keywords: conservative averaging, integral spline, layered media, three-dimensional, transport processes

Margarita Buike; Andris Buikis

2006-12-01T23:59:59.000Z

411

Modelling biological processes by using a probabilistic P system software  

Science Conference Proceedings (OSTI)

In this paper we present a probabilistic P system simulator that implements the evolution-communication model proposed in (Cavaliere, 2003) enriched with some probabilistic parameters inspired by the cell biology. After describing the software and ... Keywords: bacteria, membrane computing, photosynthesis, probability, respiration, software

Ioan I. Ardelean; Matteo Cavaliere

2003-07-01T23:59:59.000Z

412

Fusion modeling in plasma physics: Vlasov-like systems  

E-Print Network (OSTI)

The methods developed by authors are applied to some reductions of BBGKY hierarchy, namely, various examples of Vlasov-like systems which are important both for fusion modeling and for particular physical problems related to plasma/beam physics. We mostly concentrate on phenomena of localization and pattern formation.

Antonina N. Fedorova; Michael G. Zeitlin

2010-12-22T23:59:59.000Z

413

Self-Constructive High-Rate System Energy Modeling for Battery-Powered Mobile Systems  

E-Print Network (OSTI)

and Lin Zhong Department of Electrical and Computer Engineering, Rice University 6100 Main St., TX 77005 for the great diversity in the hardware and usage of mobile systems. Moreover, existing system energy models intervals of at least 10 ms, or at a rate no lower than 100 Hz. Per-application energy accounting is useful

Zhong, Lin

414

CAPE-OPEN compliant stochastic modeling and reduced-order model computation capability for APECS system  

Science Conference Proceedings (OSTI)

APECS (Advanced Process Engineering Co-Simulator) is an integrated software suite that combines the power of process simulation with high-fidelity, computational fluid dynamics (CFD) for improved design, analysis, and optimization of process engineering systems. The APECS system uses commercial process simulation (e.g., Aspen Plus) and CFD (e.g., FLUENT) software integrated with the process-industry standard CAPE-OPEN (CO) interfaces. This breakthrough capability allows engineers to better understand and optimize the fluid mechanics that drive overall power plant performance and efficiency. The focus of this paper is the CAPE-OPEN complaint stochastic modeling and reduced order model computational capability around the APECS system. The usefulness of capabilities is illustrated with coal fired, gasification based, FutureGen power plant simulation. These capabilities are used to generate efficient reduced order models and optimizing model complexities.

Diwekar, Urmila (Vishwamitra Research Institute, Clarendon Hills, IL); Shastri, Yogendra (Vishwamitra Research Institute Clarendon Hills, IL); Subrmanyan, Karthik (Vishwamitra Research Institute, Clarendon Hills, IL); Zitney, S.E.

2007-11-04T23:59:59.000Z

415

The National Energy Modeling System: An Ocerview 2000 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

416

FFT-LB modeling of thermal liquid-vapor systems  

E-Print Network (OSTI)

We further develop a thermal LB model for multiphase flows. In the improved model, we propose to use the FFT scheme to calculate both the convection term and external force term. The usage of FFT scheme is detailed and analyzed. By using the FFT algorithm spatiotemporal discretization errors are decreased dramatically and the conservation of total energy is much better preserved. A direct consequence of the improvement is that the unphysical spurious velocities at the interfacial regions can be damped to neglectable scale. Together with the better conservation of total energy, the more accurate flow velocities lead to the more accurate temperature field which determines the dynamical and final states of the system. With the new model, the phase diagram of the liquid-vapor system obtained from simulation is more consistent with that from theoretical calculation. Very sharp interfaces can be achieved. The accuracy of simulation results are also verified by the Laplace law. The FFT scheme can be easily applied t...

Gan, Yanbiao; Zhang, Guangcai; Li, Yingjun

2012-01-01T23:59:59.000Z

417

Minimizing Energy Consumption in a Water Distribution System: A Systems Modeling Approach  

E-Print Network (OSTI)

In a water distribution system from groundwater supply, the bulk of energy consumption is expended at pump stations. These pumps pressurize the water and transport it from the aquifer to the distribution system and to elevated storage tanks. Each pump in the system has a range of possible operating conditions with varying flow rates, hydraulic head imparted, and hydraulic efficiencies. In this research, the water distribution system of a mid-sized city in a subtropical climate is modeled and optimized in order to minimize the energy usage of its fourteen pumps. A simplified model of the pipes, pumps, and storage tanks is designed using freely-available EPANET hydraulic modeling software. Physical and operational parameters of this model are calibrated against five weeks of observed data using a genetic algorithm to predict storage tank volume given a forecasted system demand. Uncertainty analysis on the calibrated parameters is performed to assess model sensitivity. Finally, the pumping schedule for the system's fourteen pumps is optimized using a genetic algorithm in order to minimize total energy use across a 24-hour period.

Johnston, John

2011-05-01T23:59:59.000Z

418

Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program  

DOE Green Energy (OSTI)

EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

Don Shirey

2008-02-28T23:59:59.000Z

419

Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program  

SciTech Connect

EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

Don Shirey

2008-02-28T23:59:59.000Z

420

Mathematical modeling of the nickel/metal hydride battery system  

DOE Green Energy (OSTI)

A group of compounds referred to as metal hydrides, when used as electrode materials, is a less toxic alternative to the cadmium hydroxide electrode found in nickel/cadmium secondary battery systems. For this and other reasons, the nickel/metal hydride battery system is becoming a popular rechargeable battery for electric vehicle and consumer electronics applications. A model of this battery system is presented. Specifically the metal hydride material, LaNi{sub 5}H{sub 6}, is chosen for investigation due to the wealth of information available in the literature on this compound. The model results are compared to experiments found in the literature. Fundamental analyses as well as engineering optimizations are performed from the results of the battery model. In order to examine diffusion limitations in the nickel oxide electrode, a ``pseudo 2-D model`` is developed. This model allows for the theoretical examination of the effects of a diffusion coefficient that is a function of the state of charge of the active material. It is found using present data from the literature that diffusion in the solid phase is usually not an important limitation in the nickel oxide electrode. This finding is contrary to the conclusions reached by other authors. Although diffusion in the nickel oxide active material is treated rigorously with the pseudo 2-D model, a general methodology is presented for determining the best constant diffusion coefficient to use in a standard one-dimensional battery model. The diffusion coefficients determined by this method are shown to be able to partially capture the behavior that results from a diffusion coefficient that varies with the state of charge of the active material.

Paxton, B.K. [Univ. of California, Berkeley, CA (United States). Dept. of Chemical Engineering]|[Lawrence Berkeley National Lab., CA (United States). Energy and Environment Div.

1995-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "input-output modeling system" 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

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

422

Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) Modeling System to Build a National Air Quality Forecasting System  

Science Conference Proceedings (OSTI)

NOAA and the U.S. Environmental Protection Agency (EPA) have developed a national air quality forecasting (AQF) system that is based on numerical models for meteorology, emissions, and chemistry. The AQF system generates gridded model forecasts ...

Tanya L. Otte; George Pouliot; Jonathan E. Pleim; Jeffrey O. Young; Kenneth L. Schere; David C. Wong; Pius C. S. Lee; Marina Tsidulko; Jeffery T. McQueen; Paula Davidson; Rohit Mathur; Hui-Ya Chuang; Geoff DiMego; Nelson L. Seaman

2005-06-01T23:59:59.000Z

423

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

DOE Green Energy (OSTI)

Over the past year, several modifications have been made to the NEMS Transportation Model, incorporating greater levels of detail and analysis in modules previously represented in the aggregate or under a profusion of simplifying assumptions. This document is intended to amend those sections of the Model Documentation Report (MDR) which describe these superseded modules. Significant changes have been implemented in the LDV Fuel Economy Model, the Alternative Fuel Vehicle Model, the LDV Fleet Module, and the Highway Freight Model. The relevant sections of the MDR have been extracted from the original document, amended, and are presented in the following pages. A brief summary of the modifications follows: In the Fuel Economy Model, modifications have been made which permit the user to employ more optimistic assumptions about the commercial viability and impact of selected technological improvements. This model also explicitly calculates the fuel economy of an array of alternative fuel vehicles (AFV`s) which are subsequently used in the estimation of vehicle sales. In the Alternative Fuel Vehicle Model, the results of the Fuel Economy Model have been incorporated, and the program flows have been modified to reflect that fact. In the Light Duty Vehicle Fleet Module, the sales of vehicles to fleets of various size are endogenously calculated in order to provide a more detailed estimate of the impacts of EPACT legislation on the sales of AFV`s to fleets. In the Highway Freight Model, the previous aggregate estimation has been replaced by a detailed Freight Truck Stock Model, where travel patterns, efficiencies, and energy intensities are estimated by industrial grouping. Several appendices are provided at the end of this document, containing data tables and supplementary descriptions of the model development process which are not integral to an understanding of the overall model structure.

NONE

1997-02-01T23:59:59.000Z

424

Testing geochemical modeling codes using New Zealand hydrothermal systems  

DOE Green Energy (OSTI)

Hydrothermal systems in the Taupo Volcanic Zone, North Island, New Zealand are being used as field-based modeling exercises for the EQ3/6 geochemical modeling code package. Comparisons of the observed state and evolution of selected portions of the hydrothermal systems with predictions of fluid-solid equilibria made using geochemical modeling codes will: (1) ensure that we are providing adequately for all significant processes occurring in natural systems; (2) determine the adequacy of the mathematical descriptions of the processes; (3) check the adequacy and completeness of thermodynamic data as a function of temperature for solids, aqueous species and gases; and (4) determine the sensitivity of model results to the manner in which the problem is conceptualized by the user and then translated into constraints in the code input. Preliminary predictions of mineral assemblages in equilibrium with fluids sampled from wells in the Wairakei geothermal field suggest that affinity-temperature diagrams must be used in conjunction with EQ6 to minimize the effect of uncertainties in thermodynamic and kinetic data on code predictions. The kinetics of silica precipitation in EQ6 will be tested using field data from silica-lined drain channels carrying hot water away from the Wairakei borefield.

Bruton, C.J.; Glassley, W.E.; Bourcier, W.L.

1993-12-01T23:59:59.000Z

425

Integration of lipidomics and transcriptomics data towards a systems biology model of sphingolipid metabolism  

E-Print Network (OSTI)

data towards a systems biology model of sphingolipidmetabolism. BMC Systems Biology 2011 5:26.of omics data for systems biology. Nat Methods 2010, 7(3

Gupta, Shakti; Maurya, Mano R; Merrill Jr, Alfred H; Glass, Christopher K; Subramaniam, Shankar

2011-01-01T23:59:59.000Z

426

Integrated Numerical Modeling Process for Evaluating Automobile Climate Control Systems  

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

FCC-70 FCC-70 Integrated Numerical Modeling Process for Evaluating Automobile Climate Control Systems John Rugh National Renewable Energy Laboratory Copyright © 2002 Society of Automotive Engineers, Inc. ABSTRACT The air-conditioning (A/C) system compressor load can significantly impact the fuel economy and tailpipe emissions of conventional and hybrid electric automobiles. With the increasing emphasis on fuel economy, it is clear that the A/C compressor load needs to be reduced. In order to accomplish this goal, more efficient climate control delivery systems and reduced peak soak temperatures will be necessary to reduce the impact of vehicle A/C systems on fuel economy and tailpipe emissions. Good analytical techniques are important in identifying promising concepts. The goal at

427

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

SciTech Connect

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

NONE

1995-02-01T23:59:59.000Z

428

Wind turbine control systems: Dynamic model development using system identification and the fast structural dynamics code  

DOE Green Energy (OSTI)

Mitigating the effects of damaging wind turbine loads and responses extends the lifetime of the turbine and, consequently, reduces the associated Cost of Energy (COE). Active control of aerodynamic devices is one option for achieving wind turbine load mitigation. Generally speaking, control system design and analysis requires a reasonable dynamic model of {open_quotes}plant,{close_quotes} (i.e., the system being controlled). This paper extends the wind turbine aileron control research, previously conducted at the National Wind Technology Center (NWTC), by presenting a more detailed development of the wind turbine dynamic model. In prior research, active aileron control designs were implemented in an existing wind turbine structural dynamics code, FAST (Fatigue, Aerodynamics, Structures, and Turbulence). In this paper, the FAST code is used, in conjunction with system identification, to generate a wind turbine dynamic model for use in active aileron control system design. The FAST code is described and an overview of the system identification technique is presented. An aileron control case study is used to demonstrate this modeling technique. The results of the case study are then used to propose ideas for generalizing this technique for creating dynamic models for other wind turbine control applications.

Stuart, J.G.; Wright, A.D.; Butterfield, C.P.

1996-10-01T23:59:59.000Z

429

Computational Human Performance Modeling For Alarm System Design  

SciTech Connect

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

Jacques Hugo

2012-07-01T23:59:59.000Z

430

Reference Model for Control and Automation Systems in Electrical Power  

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

Reference Model Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason Stamp, Technical Lead Michael Berg, Co-Technical Lead Michael Baca, Project Lead This work was conducted for the DOE Office of Electricity Delivery and Energy Reliability under Contract M64SCADSNL Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. 2 Contents 1 Executive Summary.................................................................................................3 2 Introduction..............................................................................................................4

431

Conceptual geologic model and native state model of the Roosevelt Hot Springs hydrothermal system  

DOE Green Energy (OSTI)

A conceptual geologic model of the Roosevelt Hot Springs hydrothermal system was developed by a review of the available literature. The hydrothermal system consists of a meteoric recharge area in the Mineral Mountains, fluid circulation paths to depth, a heat source, and an outflow plume. A conceptual model based on the available data can be simulated in the native state using parameters that fall within observed ranges. The model temperatures, recharge rates, and fluid travel times are sensitive to the permeability in the Mineral Mountains. The simulation results suggests the presence of a magma chamber at depth as the likely heat source. A two-dimensional study of the hydrothermal system can be used to establish boundary conditions for further study of the geothermal reservoir.

Faulder, D.D.

1991-01-01T23:59:59.000Z

432

Conceptual geologic model and native state model of the Roosevelt Hot Springs hydrothermal system  

DOE Green Energy (OSTI)

A conceptual geologic model of the Roosevelt Hot Springs hydrothermal system was developed by a review of the available literature. The hydrothermal system consists of a meteoric recharge area in the Mineral Mountains, fluid circulation paths to depth, a heat source, and an outflow plume. A conceptual model based on the available data can be simulated in the native state using parameters that fall within observed ranges. The model temperatures, recharge rates, and fluid travel times are sensitive to the permeability in the Mineral Mountains. The simulation results suggests the presence of a magma chamber at depth as the likely heat source. A two-dimensional study of the hydrothermal system can be used to establish boundary conditions for further study of the geothermal reservoir. 33 refs., 9 figs.

Faulder, D.D.

1991-01-01T23:59:59.000Z

433

Model and Analytic Processes for Export License Assessments  

SciTech Connect

This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An approach to developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.

Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry

2011-09-29T23:59:59.000Z

434

Lean NOx Trap Modeling in Vehicle Systems Simulations  

DOE Green Energy (OSTI)

A one-dimensional model for simulating lean NOx trap (LNT) performance is developed and validated using both steady state cycling data and transient data from FTP testing cycles. The model consists of the conservation equations for chemical species and energy in the bulk flow, energy of the solid walls, O2 storage and NOx storage (in the form of nitrites and nitrates). Nitrites and nitrates are formed by diffusion of NO and NO2, respectively, into sorbent particles (assumed to be hemi-spherical in shape) along with O2 and their formation rates are controlled by chemical kinetics as well as solid-phase diffusion rates of NOx species. The model also accounts for thermal aging and sulfation of LNTs. Empirical correlations are developed on the basis of published experimental data to capture these effects. These empirical correlations depend on total mileage for which the LNT has been in use, the mileage accumulated since the last desulfation event in addition to the freshly degreened catalyst characteristics. The model has been used in studies of vehicle systems (integration, performance etc.) including hybrid powertrain configurations. Since the engines in hybrid vehicles turn on and off multiple number of times during single drive cycles, the exhaust systems may encounter multiple cold start transients. Accurate modeling of catalyst warm-up and cooling is, therefore, very important to simulate LNT performance in such vehicles. For this purpose, the convective heat loss from the LNT to the ambient is modeled using a Nusselt number correlation that includes effects of both forced convection and natural convection (with later being important when vehicle is stationary). Using the model, the fuel penalty associated with operating LNTs on small diesel engine powered car during FTP drive cycles is estimated.

Gao, Zhiming [ORNL; Chakravarthy, Veerathu K [ORNL; Daw, C Stuart [ORNL; Conklin, Jim [ORNL

2010-09-01T23:59:59.000Z

435

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

436

Major 2010 Common Information Model Interoperability Test of Power System Model Revisions  

Science Conference Proceedings (OSTI)

Electric Power Research Institute (EPRI) initiatives have produced several drafts that have now become International Electrotechnical Commission (IEC) international standards, including the Common Information Model (CIM) and the Generic Interface Definition (GID) specifications. These provide the basis for model-driven information exchange both within and between control centers and other systems in utility operations across the enterprise. Previous interoperability tests validated the use and acceptance...

2010-11-15T23:59:59.000Z

437

Martin Karplus and Computer Modeling for Chemical Systems  

Office of Scientific and Technical Information (OSTI)

Martin Karplus and Computer Modeling for Chemical Systems Martin Karplus and Computer Modeling for Chemical Systems Resources with Additional Information · Karplus Equation Martin Karplus ©Portrait by N. Pitt, 9/10/03 Martin Karplus, the Theodore William Richards Professor of Chemistry Emeritus at Harvard, is one of three winners of the 2013 Nobel Prize in chemistry... The 83-year-old Vienna-born theoretical chemist, who is also affiliated with the Université de Strasbourg, Strasbourg, France, is a 1951 graduate of Harvard College and earned his Ph.D. in 1953 at the California Institute of Technology. While there, he worked with two-time Nobel laureate Linus Pauling, whom Karplus described as an important early influence. He shared the Nobel with researchers Michael Levitt of Stanford University and Arieh Warshel of the University of Southern California, Los Angeles. Warshel was once a postdoctoral student of Karplus ...

438

Modeling System Development for the Evaluation of Dynamic Air Quality  

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

Modeling System Development for the Evaluation of Dynamic Air Quality Modeling System Development for the Evaluation of Dynamic Air Quality Impacts of DER Speaker(s): Robert Van Buskirk Date: January 30, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare A critical challenge for the atmospheric sciences is to understand the anthropogenic impacts on atmospheric chemistry over spatial scales ranging from the urban to the regional, and ultimately to the global, and over corresponding time scales ranging from minutes to weeks and ultimately annual trends. A similar challenge for energy policymakers is to integrate an understanding of impact dynamics into the economic dynamics of energy supply and demand. The challenges of dynamic analysis of emissions impacts from the energy sector have substantially increased with a new

439

The National Energy Modeling System: An Overview 1998 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

INTRODUCTION INTRODUCTION blueball.gif (205 bytes) Purpose of NEMS blueball.gif (205 bytes) Representations of Energy Market blueball.gif (205 bytes) Technology Representation blueball.gif (205 bytes) External Availability The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S.

440

NREL: Water Power Research - Economic and Power System Modeling and  

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

Economic and Power System Modeling and Analysis Economic and Power System Modeling and Analysis NREL has a long history of successful research to understand and improve the cost of renewable energy technologies, their possible deployment scenarios, and the economic impacts of this deployment. As a research laboratory, NREL is a neutral third party and can provide an unbiased perspective of methodologies and approaches used to estimate direct and indirect economic impacts of offshore renewable energy projects. Deployment and Economic Impact NREL's economic analysis team is working to provide stakeholders with the tools necessary to understand potential deployment scenarios of water power technologies and the economic impacts of this deployment. The team is working to improve the representation of marine and

Note: This page contains sample records for the topic "input-output modeling system" 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

Modeling of a Signal Processing System for Aircraft Air Data  

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

Modeling of a Signal Processing System for Aircraft Air Data Modeling of a Signal Processing System for Aircraft Air Data Instrumentation Speaker(s): Thomas John Rohloff Date: September 21, 1998 - 12:00pm Location: 90-3148 Seminar Host/Point of Contact: Joan M. Daisey The velocity, attitude and altitude of flight vehicles have typically been measured with booms that extend from the vehicle surface out into the flow field. However, this arrangement was found to be unacceptable for certain flight applications. Instrumentation was therefore developed by other researchers to measure the flight parameters using an array of pressure measurements located on the surface of the vehicle. The relationship between these pressure measurements and the air data is a complex non-linear function that is not easily described with simple aerodynamic

442

Information Society: Modeling A Complex System With Scarce Data  

E-Print Network (OSTI)

Considering electronic implications in the Information Society (IS) as a complex system, complexity science tools are used to describe the processes that are seen to be taking place. The sometimes troublesome relationship between the information and communication new technologies and e-society gives rise to different problems, some of them being unexpected. Probably, the Digital Divide (DD) and the Internet Governance (IG) are among the most conflictive ones of internationally based e-Affairs. Admitting that solutions should be found for these problems, certain international policies are required. In this context, data gathering and subsequent analysis, as well as the construction of adequate physical models are extremely important in order to imagine different future scenarios and suggest some subsequent control. In the main text, mathematical modelization helps for visualizing how policies could e.g. influence the individual and collective behavior in an empirical social agent system. In order to show how t...

Olivera, Noemi L; Ausloos, Marcel

2012-01-01T23:59:59.000Z

443

An Evaluation of the Software System Dependency of a Global Atmospheric Model  

Science Conference Proceedings (OSTI)

This study presents the dependency of the simulation results from a global atmospheric numerical model on machines with different hardware and software systems. The global model program (GMP) of the Global/Regional Integrated Model system (GRIMs) ...

Song-You Hong; Myung-Seo Koo; Jihyeon Jang; Jung-Eun Esther Kim; Hoon Park; Min-Su Joh; Ji-Hoon Kang; Tae-Jin Oh

2013-11-01T23:59:59.000Z

444

Numerical heat transfer attic model using a radiant barrier system  

Science Conference Proceedings (OSTI)

A two-dimensional, steady-state finite-element model was developed to simulate the thermal effects of the application of an attic radiant barrier system (ARBS) inside a ventilated residential attic. The attic is ventilated using the exhaust air from an evaporative cooler. The study uses a {kappa}-{epsilon} turbulent model to describe the velocity and temperature distributions in the attic. The ambient temperature and solar isolation densities on the outside inclined attic surfaces are used as driving functions for the model. The model also included the appropriate heat exchange modes of convection and radiation on these outside surfaces. Several recirculation zones were visually observed in the attic flow pattern. Also, the use of the ARBS seems to lower the heat transfer through the ceiling by 25--30%, but this effect decreases significantly as the outside ventilation rates are increased through the attic space. The 2D model revealed some interesting temperature distributions along the attic surfaces that could not have been predicted by the one-dimensional models. The lower emissivity ARBS seems to raise the temperature of the inclined attic surfaces as well as the temperature of the exhausted ventilation air.

Moujaes, S.F.; Alsaiegh, N.T.

2000-04-01T23:59:59.000Z

445

Structuring of Large-scale Complex Hybrid Systems: from Illustrative Analysis toward Modelization  

Science Conference Proceedings (OSTI)

System structuring is paramount to the development of large-scale complex hybrid systems (LCHS). However, there is no well-established and effective methodology for the structuring of LCHS. Using the approach of illustrating and abstracting, this paper ... Keywords: autonomous system, block-diagram-based model, distributed system, hierarchical system, large-scale complex hybrid system (LCHS), multiple gradation, nested system, nesting, perception–decision link, system geometry, system modelization, system structuring

Huaglory Tianfield

2001-02-01T23:59:59.000Z

446

Model documentation of the Short-Term Coal Analysis System  

Science Conference Proceedings (OSTI)

The short-term coal analysis system (SCOAL) is used by the Data Analysis and Forecasting Branch (DAFB) as an analytic aid to support preparation of short-term projections of bituminous coal and lignite production at the state level, and anthracite production, domestic imports of coal, and domestic and export demand for US coal at the national level. A description of SCOAL is presented which includes a general overview of the model and its analytical capabilities. (DMC)

Not Available

1983-04-01T23:59:59.000Z

447

Modeling biological systems with delays in Bio-PEPA  

E-Print Network (OSTI)

Delays in biological systems may be used to model events for which the underlying dynamics cannot be precisely observed, or to provide abstraction of some behavior of the system resulting more compact models. In this paper we enrich the stochastic process algebra Bio-PEPA, with the possibility of assigning delays to actions, yielding a new non-Markovian process algebra: Bio-PEPAd. This is a conservative extension meaning that the original syntax of Bio-PEPA is retained and the delay specification which can now be associated with actions may be added to existing Bio-PEPA models. The semantics of the firing of the actions with delays is the delay-as-duration approach, earlier presented in papers on the stochastic simulation of biological systems with delays. These semantics of the algebra are given in the Starting-Terminating style, meaning that the state and the completion of an action are observed as two separate events, as required by delays. Furthermore we outline how to perform stochastic simulation of Bio...

Caravagna, Giulio; 10.4204/EPTCS.40.7

2010-01-01T23:59:59.000Z

448

Automated piecewise power-law modeling of biological systems  

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

Machina, Machina, A., et al., Automated piecewise power-law modeling of biological systems. J. Biotechnol. (2010), doi:10.1016/j.jbiotec.2009.12.016 ARTICLE IN PRESS G Model BIOTEC-5384; No. of Pages 12 Journal of Biotechnology xxx (2010) xxx-xxx Contents lists available at ScienceDirect Journal of Biotechnology j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / j b i o t e c Automated piecewise power-law modeling of biological systems Anna Machina a,b,1,2 , Arkady Ponosov b,2 , Eberhard O. Voit a,∗ a Integrative BioSystems Institute and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Suite 4103, Atlanta, GA 30332-0535, United States b Centre for Integrative Genetics (CIGENE), CIGENE, Arboretveien 6, 1432 Ås, Norway a r t i c l e i n f o Article history: Received 20 August 2009 Received in revised form 16 December 2009 Accepted

449

System Advisor Model, SAM 2011.12.2: General Description  

DOE Green Energy (OSTI)

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

Gilman, P.; Dobos, A.

2012-02-01T23:59:59.000Z

450

Multi-State Load Models for Distribution System Analysis  

Science Conference Proceedings (OSTI)

Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.

Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

2011-11-01T23:59:59.000Z

451

System Design Description and Requirements for Modeling the Off-Gas Systems for Fuel Recycling Facilities  

Science Conference Proceedings (OSTI)

This document provides descriptions of the off-gases evolved during spent nuclear fuel processing and the systems used to capture the gases of concern. Two reprocessing techniques are discussed, namely aqueous separations and electrochemical (pyrochemical) processing. The unit operations associated with each process are described in enough detail so that computer models to mimic their behavior can be developed. The document also lists the general requirements for the desired computer models.

Daryl R. Haefner; Jack D. Law; Troy J. Tranter

2010-08-01T23:59:59.000Z

452

EIA - The National Energy Modeling System: An Overview 2003-Petroleum  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The National Energy Modeling System: An Overview 2003 Petroleum Market Module Figure 17. Petroleum Market Module Structure. Need help, contact the National Energy Information Center. Need help, contact the National Energy Information Center at 202-586-8800. Figure 18. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Petroleum Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Petroleum Products Modeled in PMM. Need help, contact the National Energy Information Center at 202-586-8800. Crude Oil Categories in PMM Table. Need help, contact the National Energy Information Center at 202-586-8800. Refinery Processing Units Modeled in PMM. Need help, contact the National Energy Information Center at 202-586-8800.

453

Robust control design verification using the modular modeling system  

Science Conference Proceedings (OSTI)

The Modular Modeling System (B W MMS) is being used as a design tool to verify robust controller designs for improving power plant performance while also providing fault-accommodating capabilities. These controllers are designed based on optimal control theory and are thus model based controllers which are targeted for implementation in a computer based digital control environment. The MMS is being successfully used to verify that the controllers are tolerant of uncertainties between the plant model employed in the controller and the actual plant; i.e., that they are robust. The two areas in which the MMS is being used for this purpose is in the design of (1) a reactor power controller with improved reactor temperature response, and (2) the design of a multiple input multiple output (MIMO) robust fault-accommodating controller for a deaerator level and pressure control problem.

Edwards, R.M.; Ben-Abdennour, A.; Lee, K.Y.

1991-01-01T23:59:59.000Z

454

Short-Termed Integrated Forecasting System: 1993 Model documentation report  

Science Conference Proceedings (OSTI)

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

Not Available

1993-05-01T23:59:59.000Z

455

FFT-LB modeling of thermal liquid-vapor systems  

E-Print Network (OSTI)

We further develop a thermal LB model for multiphase flows. In the improved model, we propose to use the FFT scheme to calculate both the convection term and external force term. The usage of FFT scheme is detailed and analyzed. By using the FFT algorithm spatiotemporal discretization errors are decreased dramatically and the conservation of total energy is much better preserved. A direct consequence of the improvement is that the unphysical spurious velocities at the interfacial regions can be damped to neglectable scale. Together with the better conservation of total energy, the more accurate flow velocities lead to the more accurate temperature field which determines the dynamical and final states of the system. With the new model, the phase diagram of the liquid-vapor system obtained from simulation is more consistent with that from theoretical calculation. Very sharp interfaces can be achieved. The accuracy of simulation results are also verified by the Laplace law. The FFT scheme can be easily applied to other models for multiphase flows.

Yanbiao Gan; Aiguo Xu; Guangcai Zhang; Yingjun Li

2010-11-16T23:59:59.000Z

456

Modeling dynamic substitution processes in energy supply systems  

SciTech Connect

Dynamic substitution processes between energy-conversion techniques are very important phenomena for the restructuring of energy systems. Using the method of synergetics, the authors develop a probabilistic model framework for individual decisions and their effects on the macroscopic configuration of energy supply systems. The derived probability transition rates are associated with socioeconomic parameters that are the basis for individual decisions. The authors state preliminary results of a case study for the room heating of private households in the former West Germany, which are based on a small data sample and a nonrepresentative poll. They find that the number of heating systems of one type, which are already installed, their ease of use, and the cost are the most important parameters for the selection of a new heating system. Using the estimated parameters, they simulate the diffusion of a new type of heating system, which is regarded as better than all the others, into the energy supply system. Its market share will reach 11--18% after 35 years.

Christian, M.; Groscurth, H.M.

1995-05-01T23:59:59.000Z

457

Model discovery for energy-aware computing systems: An experimental evaluation  

Science Conference Proceedings (OSTI)

We present a model-discovery methodology for energy-aware computing systems that achieves high prediction accuracy. Model discovery, or system identification, is a critical first step in designing advanced controllers that can dynamically manage the ... Keywords: SISO model, energy aware computing system, model discovery methodology, energy performance trade off, multiple inputs multiple outputs model, single input single output model, representative server workload, MIMO model

Zhichao Li; R. Grosu; K. Muppalla; S. A. Smolka; S. D. Stoller; E. Zadok

2011-07-01T23:59:59.000Z

458

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

459

Basic Integrative Models for Offshore Wind Turbine Systems  

E-Print Network (OSTI)

This research study developed basic dynamic models that can be used to accurately predict the response behavior of a near-shore wind turbine structure with monopile, suction caisson, or gravity-based foundation systems. The marine soil conditions were modeled using apparent fixity level, Randolph elastic continuum, and modified cone models. The offshore wind turbine structures were developed using a finite element formulation. A two-bladed 3.0 megawatt (MW) and a three-bladed 1.5 MW capacity wind turbine were studied using a variety of design load, and soil conditions scenarios. Aerodynamic thrust loads were estimated using the FAST Software developed by the U.S Department of Energy’s National Renewable Energy Laboratory (NREL). Hydrodynamic loads were estimated using Morison’s equation and the more recent Faltinsen Newman Vinje (FNV) theory. This research study addressed two of the important design constraints, specifically, the angle of the support structure at seafloor and the horizontal displacement at the hub elevation during dynamic loading. The simulation results show that the modified cone model is stiffer than the apparent fixity level and Randolph elastic continuum models. The effect of the blade pitch failure on the offshore wind turbine structure decreases with increasing water depth, but increases with increasing hub height of the offshore wind turbine structure.

Aljeeran, Fares

2011-05-01T23:59:59.000Z

460

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

Note: This page contains sample records for the topic "input-output modeling system" 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

MODEL BASED BIOMASS SYSTEM DESIGN OF FEEDSTOCK SUPPLY SYSTEMS FOR BIOENERGY PRODUCTION  

SciTech Connect

Engineering feedstock supply systems that deliver affordable, high-quality biomass remains a challenge for the emerging bioenergy industry. Cellulosic biomass is geographically distributed and has diverse physical and chemical properties. Because of this feedstock supply systems that deliver cellulosic biomass resources to biorefineries require integration of a broad set of engineered unit operations. These unit operations include harvest and collection, storage, preprocessing, and transportation processes. Design decisions for each feedstock supply system unit operation impact the engineering design and performance of the other system elements. These interdependencies are further complicated by spatial and temporal variances such as climate conditions and biomass characteristics. This paper develops an integrated model that couples a SQL-based data management engine and systems dynamics models to design and evaluate biomass feedstock supply systems. The integrated model, called the Biomass Logistics Model (BLM), includes a suite of databases that provide 1) engineering performance data for hundreds of equipment systems, 2) spatially explicit labor cost datasets, and 3) local tax and regulation data. The BLM analytic engine is built in the systems dynamics software package PowersimTM. The BLM is designed to work with thermochemical and biochemical based biofuel conversion platforms and accommodates a range of cellulosic biomass types (i.e., herbaceous residues, short- rotation woody and herbaceous energy crops, woody residues, algae, etc.). The BLM simulates the flow of biomass through the entire supply chain, tracking changes in feedstock characteristics (i.e., moisture content, dry matter, ash content, and dry bulk density) as influenced by the various operations in the supply chain. By accounting for all of the equipment that comes into contact with biomass from the point of harvest to the throat of the conversion facility and the change in characteristics, the BLM evaluates economic performance of the engineered system, as well as determining energy consumption and green house gas performance of the design. This paper presents a BLM case study delivering corn stover to produce cellulosic ethanol. The case study utilizes the BLM to model the performance of several feedstock supply system designs. The case study also explores the impact of temporal variations in climate conditions to test the sensitivity of the engineering designs. Results from the case study show that under certain conditions corn stover can be delivered to the cellulosic ethanol biorefinery for $35/dry ton.

David J. Muth, Jr.; Jacob J. Jacobson; Kenneth M. Bryden

2013-08-01T23:59:59.000Z

462

NREL: Jobs and Economic Development Impact (JEDI) Models - Interpreting  

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

Interpreting Results Interpreting Results Sample Results from JEDI. Download a text-version (MS Excel 44 KB) The Jobs and Economic Development Impact (JEDI) models estimate the number of jobs and economic impacts associated with power generation, fuel production, and other projects. Economic activity in input-output models is typically assessed in three categories. NREL's JEDI models classify the first category of results-on-site labor and professional services results-as dollars spent on labor from companies engaged in development and on-site construction and operation of power generation and transmission. These results include labor only-no materials. Companies or businesses that fall into this category of results include project developers, environmental and permitting consultants, road builders, concrete-pouring

463

A Model Checking Approach to Evaluating System Level Dynamic Power Management Policies for Embedded Systems  

E-Print Network (OSTI)

, and state transitions, with a cumulative power dissipation model. However, as stated in [3], assessing state, is a sleep state, which the system transitions to, if it does not want to dissipate any power power dissipation rate, and different latency and energy consumptionto go back to the busy state

Gupta, Rajesh

464

Documentation: The automated ORAD (Oil Refinery and Distribution Model) to RYMs (Refinery Yield Model) linked system  

SciTech Connect

The Refinery Evaluation Modeling System (REMS) is an analytic tool used by the Energy Information Administration (EIA) to provide insight into the domestic operations of United States refineries. REMS can be used to determine the potential impacts of changes in demands for petroleum products, crude and feedstock qualities, refinery processing capacities, foreign and domestic crude availabilities, transportation modes and costs, and government regulations. REMS is a set of linear programming models that solve for a partial equilibrium in the US refinery market by equating supply and demand while maximizing profits for US refiners. REMS consists of two models: the Refinery Yield Model (RYM), and the Oil Refinery and Distribution Model (ORAD). RYMs consists of nine separate regional models that represent the contiguous US refinery system. These nine regions are aggregates of the 13 Bureau of Mines (BOM) refinery districts. ORAD integrates the results from the individual RYMs into a transportation network which represents the US refinery market. ORAD uses the extreme point refinery representation from RYMs to solve for the optimal product prices in ORAD.

Sanders, R.P.; Kydes, A.S.