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1

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.

2

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.

3

Pam Landman  

Science Conference Proceedings (OSTI)

JAOCS, Lipids, JSD coordinator Pam Landman Contact Information contact contact us Pam Landman Journals Coordinator ...

4

V-223: RSA Authentication Agent for PAM Allows Remote Users to Make  

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

3: RSA Authentication Agent for PAM Allows Remote Users to Make 3: RSA Authentication Agent for PAM Allows Remote Users to Make Unlimited Login Attempts V-223: RSA Authentication Agent for PAM Allows Remote Users to Make Unlimited Login Attempts August 21, 2013 - 6:00am Addthis PROBLEM: A vulnerability was reported in RSA Authentication Agent for PAM PLATFORM: RSA Authentication Agent for PAM 7.0.2 and prior ABSTRACT: A remote user can make unlimited login attempts REFERENCE LINKS: Security Tracker Alert ID 1028930 CVE-2013-3271 IMPACT ASSESSMENT: Medium DISCUSSION: The system does not restrict the number of login attempts made via the agent IMPACT: System Access SOLUTION: Vendor has issued a fix Addthis Related Articles U-267: RSA® Authentication Agent 7.1 for Microsoft Windows® and RSA® Authentication Client 3.5 Access Control Vulnerability

5

Biological applications of an LCoS-BASED PROGRAMMABLE ARRAY MICROSCOPE (PAM)  

E-Print Network (OSTI)

fluorescence microscope (PAM) for rapid, light efficient 3D imaging of living specimens. The stand-alone module fluorescence microscope. The prototype system currently operated at the Max Planck Institute incorporates a 6-position high-intensity LED illuminator, modulated laser and lamp light sources, and an Andor iXon em

Rieger, Bernd

6

Wind Tunnel Evaluation of PAM II Pressure Ports  

Science Conference Proceedings (OSTI)

The Portable Automated Mesonet II (PAM II) is a network of automated remote weather stations developed by the National Center for Atmospheric Research (NCAR) for measuring wind speed and direction, atmospheric pressure, temperature, humidity, and ...

Fikri Adnan Akyz; Henry Liu; Tom Horst

1991-06-01T23:59:59.000Z

7

T-660: OpenSSH on FreeBSD Has Buffer Overflow in pam_thread() That Lets  

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

T-660: OpenSSH on FreeBSD Has Buffer Overflow in pam_thread() That T-660: OpenSSH on FreeBSD Has Buffer Overflow in pam_thread() That Lets Remote Users Execute Arbitrary Code T-660: OpenSSH on FreeBSD Has Buffer Overflow in pam_thread() That Lets Remote Users Execute Arbitrary Code July 5, 2011 - 7:06am Addthis PROBLEM: A vulnerability was reported in OpenSSH. A remote user can execute arbitrary code on the target system. PLATFORM: FreeBSD releases greater than 5.2.1 : 3.5p1 ABSTRACT: The module does not adequately validate user input leading to an cross-site scripting (XSS) possibility in certain circumstances. reference LINKS: SecurityTracker Alert ID: 1025739 Open SSH Security Update IMPACT ASSESSMENT: High Discussion: A remote user can send a specially crafted username value to trigger a buffer overflow in the pam_thread() function and execute arbitrary code on

8

Cryogenic Viscous Compressor Development and Modeling for the ITER Vacuum System  

SciTech Connect

The ITER vacuum system requires a roughing pump system that can pump the exhaust gas from the torus cryopumps to the tritium exhaust processing plant. The gas will have a high tritium content and therefore conventional vacuum pumps are not suitable. A pump called a cryogenic viscous compressor (CVC) is being designed for the roughing system to pump from ~500 Pa to 10 Pa at flow rates of 200 Pa-m3/ s. A unique feature of this pump is that is allows any helium in the gas to flow through the pump where it is sent to the detritiation system before exhausting to atmosphere. A small scale prototype of the CVC is being tested for heat transfer characteristics and compared to modeling results to ensure reliable operation of the full scale CVC. Keywords- ITER; vacuum; fuel cycle

Baylor, Larry R [ORNL; Meitner, Steven J [ORNL; Barbier, Charlotte N [ORNL; Combs, Stephen Kirk [ORNL; Duckworth, Robert C [ORNL; Edgemon, Timothy D [ORNL; Rasmussen, David A [ORNL; Hechler, Michael P [ORNL; Kersevan, R. [ITER Organization, Cadarache, France; Dremel, M. [General Atomics, San Diego; Pearce, R.J.H. [General Atomics, San Diego; Boissin, Jean Claude [Consultant

2011-01-01T23:59:59.000Z

9

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

10

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

11

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

12

Asymptotically Optimal Mappings for BICM with M-PAM and M 2-QAM  

E-Print Network (OSTI)

We prove the asymptotic optimality of particular binary labeling rules for M-PAM and M2-QAM constellations in the wideband regime in terms of the so-called parallel-decoding capacity aka. bit-interleaved coded modulation capacity. Shannons ultimate limit of ?1.59 dB can be achieved with bit-interleaved coded modulation.

Clemens Stierstorfer; Robert F. H. Fischer

2009-01-01T23:59:59.000Z

13

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...

14

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 authors 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

15

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

16

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

17

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

18

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

19

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

20

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 "modeling system pams" 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

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

22

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

23

Re: response to oil disaster; spoil islands and Army Corps Haze, Pam K, Gould, Rowan , Ashe, Dan,  

E-Print Network (OSTI)

History: Re: response to oil disaster; spoil islands and Army Corps t Haze, Pam K, Gould, Rowan:59:082010 Subject: FW: response to oil disaster; spoil islands and Army Corps at sure who to ask abou this are dredged, may be a disaster to the very same resources we want to protect from the oil. Can you please find

Fleskes, Joe

24

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)....

25

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

26

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

27

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...

28

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

29

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

30

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, Frchet derivative, Linear models, Nonlinear systems, System identification, Wiener systems

P. M. MKil; J. R. Partington

2003-01-01T23:59:59.000Z

31

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

32

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

33

NUCLEAR ENERGY SYSTEM COST MODELING  

Science Conference Proceedings (OSTI)

The U.S. Department of Energys 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 islands 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 islands 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

34

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

35

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.

36

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

37

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

38

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,

39

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

40

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

Note: This page contains sample records for the topic "modeling system pams" 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 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

42

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]

43

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

44

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

45

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

46

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

47

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

48

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

49

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

50

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

51

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

52

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

53

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

54

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

55

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

56

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

57

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

58

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

59

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

60

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

62

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

63

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

64

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...

65

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

66

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

67

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

68

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

69

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

70

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]

71

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

72

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 definitions expressiveness and flexibility while making it machinecheckable. 1

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

2009-01-01T23:59:59.000Z

73

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...

74

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

75

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.

76

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

77

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

78

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...

Franois E. Cellier; Martin Otter; Hilding Elmqvist

1995-01-01T23:59:59.000Z

79

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

80

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

82

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

83

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...

84

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

85

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

86

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

87

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

88

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

89

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

90

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

91

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

92

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

93

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

94

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

95

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

96

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

97

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

98

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

99

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...

100

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...

Note: This page contains sample records for the topic "modeling system pams" 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

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

102

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

103

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

104

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. Cte; Chris J. Moran; Christopher J. Hedemann; Christian Koch

2010-12-01T23:59:59.000Z

105

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

106

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

107

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

108

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

109

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

110

Coupling characteristics of the ITER relevant lower hybrid antenna in Tore Supra: experiments and modelling  

Science Conference Proceedings (OSTI)

A new concept of lower hybrid antenna for current drive has been proposed for ITER [Bibet et al, Nuclear Fusion 1995]: the Passive Active Multijunction (PAM) antenna that relies on a periodic combination of active and passive waveguides. An actively cooled PAM antenna at 3.7 GHz has been recently installed on the tokamak Tore Supra. The paper summarizes the comprehensive experimental characterization of the linear coupling properties of the PAM antenna to the Tore Supra plasmas. These experimental results are systematically compared with the linear wave coupling theory via the linear ALOHA code. Good agreement between experimental results and ALOHA have been obtained. The detailed validation of the coupling modelling is an important step toward the validation of the PAM concept in view of further optimizing the electromagnetic properties of the future ITER antenna.

Preynas, M.; Ekedahl, A.; Fedorczak, N.; Goniche, M.; Guilhem, D.; Gunn, J. P.; Hillairet, J.; Litaudon, X. [CEA, IRFM, 13108 Saint Paul lez Durance (France); Associacao Euratom-IST, Centro de Fusao Nuclear 1049-001 Lisboa (Portugal)

2011-12-23T23:59:59.000Z

111

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

112

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

113

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

114

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

115

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

116

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

117

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

118

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

119

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

120

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

122

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

123

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

124

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

125

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

126

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

127

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

128

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

129

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 Barb, Oscar J. Olarte Rodriguez, Wendy Van Moer, Lieve Lauwers

2013-07-01T23:59:59.000Z

130

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

131

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

132

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

133

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

134

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

135

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

136

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

137

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

138

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

139

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

140

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...

Note: This page contains sample records for the topic "modeling system pams" 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

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....

142

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

143

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

144

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

145

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 ...

146

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

147

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

148

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

149

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

150

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

151

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

152

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

153

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

154

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

155

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

156

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

157

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

158

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

159

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

160

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

162

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)...

163

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

164

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

165

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 Grnniger; Jan Oliver Ringert; Bernhard Rumpe

2009-06-01T23:59:59.000Z

166

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.

167

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).

168

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

169

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

170

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

171

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

172

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

173

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

174

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

175

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

176

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 Romo; Dwight Deugo; Miguel Mira Da Silva

2001-09-01T23:59:59.000Z

177

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

178

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

179

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 Mra; Jos Gabriel Pereira Lopes; Rosa Maria Vicari; Helder Coelho

1998-07-01T23:59:59.000Z

180

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

182

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

183

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

184

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"

185

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

186

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

187

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

188

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

189

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

190

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

191

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...

192

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

193

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

194

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

195

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

196

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

197

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

198

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

199

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

200

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...

Note: This page contains sample records for the topic "modeling system pams" 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

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.

202

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...

203

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...

204

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:...

205

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

206

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

207

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

208

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

209

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, Zoltn S. (Zoltn Sndor), 1972-

2001-01-01T23:59:59.000Z

210

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

211

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

212

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

213

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

214

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

215

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

216

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

217

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...

218

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

219

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

220

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

222

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

223

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

224

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

225

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

226

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

227

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

228

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

229

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

230

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

231

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

232

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

233

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.

234

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

235

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

236

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 Snchez; Eugenio Villar

2004-01-01T23:59:59.000Z

237

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

238

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

239

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

240

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

242

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

243

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

244

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

245

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

246

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

247

Modeling AirLandSea Interactions Using the Integrated Regional Model System in Monterey Bay, California  

Science Conference Proceedings (OSTI)

The airlandsea 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

248

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

249

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

250

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.

251

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

252

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

253

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

254

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

255

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

256

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

257

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).

258

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

259

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

260

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

Note: This page contains sample records for the topic "modeling system pams" 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-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”).

262

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

263

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

264

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

265

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

266

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

267

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...

268

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

269

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

270

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...

271

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

272

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

273

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

274

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

275

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)

276

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

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

282

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

283

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

284

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

285

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

286

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”).

287

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

288

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

289

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

290

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

291

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

292

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

293

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

294

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.

295

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

296

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

297

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

298

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

299

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

300

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

302

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

303

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

304

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

305

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.

306

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

307

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

308

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.

309

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

310

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

311

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

312

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.

313

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

314

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

315

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

316

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

317

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

318

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

319

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

320

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 "modeling system pams" 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

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

322

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

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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

331

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.

332

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

333

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

334

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

335

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

336

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

337

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

338

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

339

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

340

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 "modeling system pams" 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

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

342

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

343

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

344

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

345

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

346

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 3.20C 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

347

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

348

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

349

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

350

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

351

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

352

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

353

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

354

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.

355

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

356

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

357

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

358

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

359

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

360

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

362

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

363

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

364

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

365

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

366

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

367

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

368

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

369

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

370

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

371

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

372

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

373

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

374

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

375

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, perceptiondecision link, system geometry, system modelization, system structuring

Huaglory Tianfield

2001-02-01T23:59:59.000Z

376

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 ...

377

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

378

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.

379

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

380

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

Note: This page contains sample records for the topic "modeling system pams" 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

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

382

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

383

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

384

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

385

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

386

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

387

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

388

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

389

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.

390

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

391

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

392

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

393

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

394

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

395

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

396

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 Energys National Renewable Energy Laboratory (NREL). Hydrodynamic loads were estimated using Morisons 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

397

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

398

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.

1987-01-01T23:59:59.000Z

399

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

400

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

Note: This page contains sample records for the topic "modeling system pams" 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

Heat Transport in Groundwater Systems--Finite Element Model  

E-Print Network (OSTI)

Solar energy is a promising alternate energy source for space heating. A method of economic long term solar energy storage is needed. Researchers have proposed storing solar energy by injecting hot water heated using solar collectors into groundwater aquifers for long term energy storage. Analytical solutions are available that predict water temperatures as hot water is injected into a groundwater aquifer, but little field and laboratory data are available to verify these models. The objectives of this study were to construct a laboratory model to simulate hot water injection into a confined aquifer, to use data from the model to verify analytical solutions modeling this process, and to evaluate the effects of physical properties and design parameters on thermal recovery efficiency. Initial studies of hot water injection into underground reservoirs were done by the petroleum industry while studying secondary and tertiary oil recovery methods. These studies involved small laboratory models. Advances in computer technology made it possible to model these systems numerically. Many assumptions must be made to predict temperature distributions and thermal efficiencies using analytical models which are not required in numerical solutions. To simulate hot water injection into a confined aquifer, a laboratory model (a 1.8288 m deep, 0.2 radian sector tank, that was 7.01 m in the radial direction) was constructed. There were 39 temperature and 15 fluid pressure measuring locations through the model. Water was supplied to the model at a constant temperature and flow rate. The flow layer was composed of a fine grained Texblast blasting sand. Four runs were made. During the initial run, no heat transfer took place and the hydraulic conductivity was measured. Three runs were made where the heat transfer was monitored. Water level data from the heat transfer runs showed that as the temperature of the aquifer increased, the hydraulic conductivity increased. Temperature data indicated that the three radii closest to the well bore reached thermal equilibrium. The equilibrium temperature decreased as radius increased. From Run 1 to Run 2, the equilibrium temperature increased at each radius because a larger flow rate was used. A vertical thermal gradient existed in the flow layer with the less dense warm water floating out over the cooler more dense water initially in the model. During the pumping cycle, the temperatures gradually decreased. The temperature of the water as it was pumped out of the model was measured and the energy recovered was computed using the initial temperature as a reference. Various other temperatures were used as a base reference to calculate recovery efficiency. There were heat losses out the sides of the model. The assumption of angular symmetry made in all analytical solutions was therefore not met. For this reason, the analytical solutions showed adequate, but not great, agreement with the experimental temperature distributions. Using the analytical solutions, the effects of changing system design parameters were evaluated. Increasing thermal conductivity in the flow layer caused the temperature distribution to spread out but had no effect on thermal efficiency. Increasing the thermal conductivity in the confining layers caused the temperature profile to not move as far from the well, and decreased thermal efficiency. Injection rates are only indirectly related to thermal efficiency. The physical parameter having the greatest effect on thermal efficiency was the flow layer thickness. As thickness increased, thermal efficiency increased.

Grubaugh, E. K.; Reddell, D. L.

1980-08-01T23:59:59.000Z

402

Model documentation report: Short-term Integrated Forecasting System demand model 1985. [(STIFS)  

DOE Green Energy (OSTI)

The Short-Term Integrated Forecasting System (STIFS) Demand Model consists of a set of energy demand and price models that are used to forecast monthly demand and prices of various energy products up to eight quarters in the future. The STIFS demand model is based on monthly data (unless otherwise noted), but the forecast is published on a quarterly basis. All of the forecasts are presented at the national level, and no regional detail is available. The model discussed in this report is the April 1985 version of the STIFS demand model. The relationships described by this model include: the specification of retail energy prices as a function of input prices, seasonal factors, and other significant variables; and the specification of energy demand by product as a function of price, a measure of economic activity, and other appropriate variables. The STIFS demand model is actually a collection of 18 individual models representing the demand for each type of fuel. The individual fuel models are listed below: motor gasoline; nonutility distillate fuel oil, (a) diesel, (b) nondiesel; nonutility residual fuel oil; jet fuel, kerosene-type and naphtha-type; liquefied petroleum gases; petrochemical feedstocks and ethane; kerosene; road oil and asphalt; still gas; petroleum coke; miscellaneous products; coking coal; electric utility coal; retail and general industry coal; electricity generation; nonutility natural gas; and utility petroleum. The demand estimates produced by these models are used in the STIFS integrating model to produce a full energy balance of energy supply, demand, and stock change. These forecasts are published quarterly in the Outlook. Details of the major changes in the forecasting methodology and an evaluation of previous forecast errors are presented once a year in Volume 2 of the Outlook, the Methodology publication.

Not Available

1985-07-01T23:59:59.000Z

403

An integrated coastal modeling system for analyzing beach processes and beach restoration projects, SMC  

Science Conference Proceedings (OSTI)

A user-friendly system called coastal modeling system (SMC) has been developed by the Spanish Ministry of Environment and the University of Cantabria. The system includes several numerical models specifically developed for the application of the methodology ... Keywords: Beach nourishment, Beach project design, Coastal modeling, Coastal numerical model, Littoral GUI

M. Gonzlez; R. Medina; J. Gonzalez-Ondina; A. Osorio; F. J. Mndez; E. Garca

2007-07-01T23:59:59.000Z

404

Representative element modeling of fracture systems based on stochastic analysis  

DOE Green Energy (OSTI)

An important task associated with reservoir simulation is the development of a technique to model a large number of fractures with a single description. Representative elements must be developed before reservoir scale simulations can adequately address the effects of intersecting fracture systems on fluid migration. An effective element model will sharply reduce the cost and complexity of large scale simulations to bring these to manageable levels. Stochastic analysis is a powerful tool which can determine the hydraulic and transport characteristics of intersecting sets of statistically defined fractures. Hydraulic and transport characteristics are required to develop representative elements. Given an assumption of fully developed laminar flow, the net fracture conductivities and hence flow velocities can be determined from descriptive statistics of fracture spacing, orientation, aperture, and extent. The distribution of physical characteristics about their mean leads to a distribution of the associated conductivities. The variance of hydraulic conductivity induces dispersion into the transport process. The simplest of fracture systems, a single set of parallel fractures, is treated to demonstrate the usefulness of stochastic analysis. Explicit equations for conductivity of an element are developed and the dispersion characteristics are shown. The analysis reveals the dependence of the representative element properties on the various parameters used to describe the fracture system. 10 refs., 3 figs.

Clemo, T.M.

1986-01-01T23:59:59.000Z

405

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

SciTech Connect

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

NONE

1995-03-01T23:59:59.000Z

406

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

Science Conference Proceedings (OSTI)

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

NONE

1997-01-01T23:59:59.000Z

407

Identification and modeling for non-linear dynamic system using neural networks type MLP  

Science Conference Proceedings (OSTI)

In control systems, the model dynamics of linear systems is the principal and most important phase of a project, but when working with dynamic of non-linear systems obtain the model becomes a very complex task can be used techniques of system identification. ... Keywords: LP, algorithms, dynamic backprogation, modeling, multilayer perceptrons, neural networks dynamics, non-linear dynamics, training

Hernn Gonzlez Acua; Max Suell Dutra; Omar Lengerke

2009-06-01T23:59:59.000Z

408

Nuisance Source Population Modeling for Radiation Detection System Analysis  

SciTech Connect

A major challenge facing the prospective deployment of radiation detection systems for homeland security applications is the discrimination of radiological or nuclear 'threat sources' from radioactive, but benign, 'nuisance sources'. Common examples of such nuisance sources include naturally occurring radioactive material (NORM), medical patients who have received radioactive drugs for either diagnostics or treatment, and industrial sources. A sensitive detector that cannot distinguish between 'threat' and 'benign' classes will generate false positives which, if sufficiently frequent, will preclude it from being operationally deployed. In this report, we describe a first-principles physics-based modeling approach that is used to approximate the physical properties and corresponding gamma ray spectral signatures of real nuisance sources. Specific models are proposed for the three nuisance source classes - NORM, medical and industrial. The models can be validated against measured data - that is, energy spectra generated with the model can be compared to actual nuisance source data. We show by example how this is done for NORM and medical sources, using data sets obtained from spectroscopic detector deployments for cargo container screening and urban area traffic screening, respectively. In addition to capturing the range of radioactive signatures of individual nuisance sources, a nuisance source population model must generate sources with a frequency of occurrence consistent with that found in actual movement of goods and people. Measured radiation detection data can indicate these frequencies, but, at present, such data are available only for a very limited set of locations and time periods. In this report, we make more general estimates of frequencies for NORM and medical sources using a range of data sources such as shipping manifests and medical treatment statistics. We also identify potential data sources for industrial source frequencies, but leave the task of estimating these frequencies for future work. Modeling of nuisance source populations is only useful if it helps in understanding detector system performance in real operational environments. Examples of previous studies in which nuisance source models played a key role are briefly discussed. These include screening of in-bound urban traffic and monitoring of shipping containers in transit to U.S. ports.

Sokkappa, P; Lange, D; Nelson, K; Wheeler, R

2009-10-05T23:59:59.000Z

409

Computational performance of ultra-high-resolution capability in the Community Earth System Model  

Science Conference Proceedings (OSTI)

With the fourth release of the Community Climate System Model, the ability to perform ultra-high-resolution climate simulations is now possible, enabling eddy-resolving ocean and sea-ice models to be coupled to a finite-volume atmosphere model for a ... Keywords: Earth system modeling, Performance engineering, application optimization, climate modeling, high-resolution

John M. Dennis; Mariana Vertenstein; Patrick H. Worley; Arthur A. Mirin; Anthony P. Craig; Robert Jacob; Sheri Mickelson

2012-02-01T23:59:59.000Z

410

Data-driven dynamic emulation modelling for the optimal management of environmental systems  

Science Conference Proceedings (OSTI)

The optimal management of large environmental systems is often limited by the high computational burden associated to the process-based models commonly adopted to describe such systems. In this paper we propose a novel data-driven Dynamic Emulation Modelling ... Keywords: Data-driven models, Emulation modelling, Process-based models, Variable selection, Water resources planning and management

A. Castelletti; S. Galelli; M. Restelli; R. Soncini-Sessa

2012-06-01T23:59:59.000Z

411

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

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The National Energy Modeling System: An Overview 2003 Residential Demand Module Figure 5. Residential Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Residential Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. NEMS Residential Module Equipment Summary Table. Need help, contact the National Energy Information Center at 202-586-8800. Characteristics of Selected Equipment Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from

412

A Model for the Bus System in Cuernevaca (Mexico)  

E-Print Network (OSTI)

The bus transportation system in Cuernevaca, Mexico, has certain distinguished, innovative features and has been the subject of an intriguing, recent study by M. Krbalek and P. Seba. Krbalek and Seba analyzed the statistics of bus arrivals on Line 4 close to the city center. They studied, in particular, the bus spacing distribution and also the bus number variance measuring the fluctuations of the total number of buses arriving at a fixed location during a time interval T. Quite remarkably, it was found that these two statistics are well modeled by the Gaussian Unitary Ensemble (GUE) of random matrix theory. Our goal in this paper is to provide a plausible explanation of these observations, and to this end we introduce a microscopic model for the bus line that leads simply and directly to GUE.

Jinho Baik; Alexei Borodin; Percy Deift; Toufic Suidan

2005-10-19T23:59:59.000Z

413

Finding Benefits by Modeling and Optimizing Steam and Power Systems  

E-Print Network (OSTI)

A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well as the monitoring of the entire steam system. This is used for both day-to-day site optimization as well as long-term site planning. In this presentation, we will discuss who the main users of the program are and how they and the plant derive benefits from its use.

Jones, B.; Nelson, D.

2007-01-01T23:59:59.000Z

414

Seismic base isolation: Elastomer characterization, bearing modeling and system response  

Science Conference Proceedings (OSTI)

This paper discusses several major aspects of seismic base isolation systems that employ laminated elastomer bearings. Elastomer constitutive models currently being used to represent the nonlinear elastic and hysteretic behavior are discussed. Some aspects of mechanical characterization testing of elastomers is presented along with representative tests results. The development of a finite element based mesh generator for laminated elastomer bearings is presented. Recent advances in the simulation of base isolated structures to earthquake motions are presented along with a sample problem. 13 refs., 19 figs., 1 tab.

Kulak, R.F.; Wang, C.Y.; Hughes, T.H.

1991-01-01T23:59:59.000Z

415

Molten Salt Power Tower Cost Model for the System Advisor Model (SAM)  

DOE Green Energy (OSTI)

This report describes a component-based cost model developed for molten-salt power tower solar power plants. The cost model was developed by the National Renewable Energy Laboratory (NREL), using data from several prior studies, including a contracted analysis from WorleyParsons Group, which is included herein as an Appendix. The WorleyParsons' analysis also estimated material composition and mass for the plant to facilitate a life cycle analysis of the molten salt power tower technology. Details of the life cycle assessment have been published elsewhere. The cost model provides a reference plant that interfaces with NREL's System Advisor Model or SAM. The reference plant assumes a nominal 100-MWe (net) power tower running with a nitrate salt heat transfer fluid (HTF). Thermal energy storage is provided by direct storage of the HTF in a two-tank system. The design assumes dry-cooling. The model includes a spreadsheet that interfaces with SAM via the Excel Exchange option in SAM. The spreadsheet allows users to estimate the costs of different-size plants and to take into account changes in commodity prices. This report and the accompanying Excel spreadsheet can be downloaded at https://sam.nrel.gov/cost.

Turchi, C. S.; Heath, G. A.

2013-02-01T23:59:59.000Z

416

EMPIRE: Nuclear Reaction Model Code System for Data Evaluation  

SciTech Connect

EMPIRE is a modular system of nuclear reaction codes, comprising various nuclear models, and designed for calculations over a broad range of energies and incident particles. A projectile can be a neutron, proton, any ion (including heavy-ions) or a photon. The energy range extends from the beginning of the unresolved resonance region for neutron-induced reactions ({approx} keV) and goes up to several hundred MeV for heavy-ion induced reactions. The code accounts for the major nuclear reaction mechanisms, including direct, pre-equilibrium and compound nucleus ones. Direct reactions are described by a generalized optical model (ECIS03) or by the simplified coupled-channels approach (CCFUS). The pre-equilibrium mechanism can be treated by a deformation dependent multi-step direct (ORION + TRISTAN) model, by a NVWY multi-step compound one or by either a pre-equilibrium exciton model with cluster emission (PCROSS) or by another with full angular momentum coupling (DEGAS). Finally, the compound nucleus decay is described by the full featured Hauser-Feshbach model with {gamma}-cascade and width-fluctuations. Advanced treatment of the fission channel takes into account transmission through a multiple-humped fission barrier with absorption in the wells. The fission probability is derived in the WKB approximation within the optical model of fission. Several options for nuclear level densities include the EMPIRE-specific approach, which accounts for the effects of the dynamic deformation of a fast rotating nucleus, the classical Gilbert-Cameron approach and pre-calculated tables obtained with a microscopic model based on HFB single-particle level schemes with collective enhancement. A comprehensive library of input parameters covers nuclear masses, optical model parameters, ground state deformations, discrete levels and decay schemes, level densities, fission barriers, moments of inertia and {gamma}-ray strength functions. The results can be converted into ENDF-6 formatted files using the accompanying code EMPEND and completed with neutron resonances extracted from the existing evaluations. The package contains the full EXFOR (CSISRS) library of experimental reaction data that are automatically retrieved during the calculations. Publication quality graphs can be obtained using the powerful and flexible plotting package ZVView. The graphic user interface, written in Tcl/Tk, provides for easy operation of the system. This paper describes the capabilities of the code, outlines physical models and indicates parameter libraries used by EMPIRE to predict reaction cross sections and spectra, mainly for nucleon-induced reactions. Selected applications of EMPIRE are discussed, the most important being an extensive use of the code in evaluations of neutron reactions for the new US library ENDF/B-VII.0. Future extensions of the system are outlined, including neutron resonance module as well as capabilities of generating covariances, using both KALMAN and Monte-Carlo methods, that are still being advanced and refined.

Herman, M. [National Nuclear Data Center, Brookhaven National Laboratory, Upton, NY 11973-5000 (United States)], E-mail: mwherman@bnl.gov; Capote, R. [Nuclear Data Section, International Atomic Energy Agency, Wagramer Strasse, A-1400 Vienna (Austria); Carlson, B.V. [Departamento de Fisica, Instituto Tecnologico de Aeronautica, 12228-900, SP, Sao Jose dos Campos (Brazil); Oblozinsky, P. [National Nuclear Data Center, Brookhaven National Laboratory, Upton, NY 11973-5000 (United States); Sin, M. [Nuclear Physics Department, Bucharest University, P.O. Box MG-11, Bucharest-Magurele (Romania); Trkov, A. [Jozef Stefan Institute, Reactor Physics Division R-1, Jamova 39, 1000 Ljubljana (Slovenia); Wienke, H. [Belgonucleaire, Dessel, B2480 (Belgium); Zerkin, V. [Nuclear Data Section, International Atomic Energy Agency, Wagramer Strasse, A-1400 Vienna (Austria)

2007-12-15T23:59:59.000Z

417

Iterated Function System Models in Data Analysis: Detection and Separation  

E-Print Network (OSTI)

We investigate the use of iterated function system (IFS) models for data analysis. An IFS is a discrete dynamical system in which each time step corresponds to the application of one of a finite collection of maps. The maps, which represent distinct dynamical regimes, may act in some pre-determined sequence or may be applied in random order. An algorithm is developed to detect the sequence of regime switches under the assumption of continuity. This method is tested on a simple IFS and applied to an experimental computer performance data set. This methodology has a wide range of potential uses: from change-point detection in time-series data to the field of digital communications.

Zachary Alexander; Elizabeth Bradley; Joshua Garland; James D. Meiss

2011-08-15T23:59:59.000Z

418

Mathematical modeling of the behavior of geothermal systems under exploitation  

DOE Green Energy (OSTI)

Analytical and numerical methods have been used in this investigation to model the behavior of geothermal systems under exploitation. The work is divided into three parts: (1) development of a numerical code, (2) theoretical studies of geothermal systems, and (3) field applications. A new single-phase three-dimensional simulator, capable of solving heat and mass flow problems in a saturated, heterogeneous porous or fractured medium has been developed. The simulator uses the integrated finite difference method for formulating the governing equations and an efficient sparse solver for the solution of the linearized equations. In the theoretical studies, various reservoir engineering problems have been examined. These include (a) well-test analysis, (b) exploitation strategies, (c) injection into fractured rocks, and (d) fault-charged geothermal reservoirs.

Bodvarsson, G.S.

1982-01-01T23:59:59.000Z

419

On Kinetic Equations Modeling Evolution of Systems in Mathematical Biology  

E-Print Network (OSTI)

We develop a rigorous formalism for the description of the kinetic evolution of interacting entities modeling systems in mathematical biology within the framework of the evolution of marginal observables. For this purpose we construct the mean field asymptotic behavior of a solution of the Cauchy problem of the dual BBGKY hierarchy for marginal observables of the dynamical systems based on the Markov jump processes, exhibiting the intrinsic properties of the living entities. The constructed scaling limit is governed by the set of recurrence evolution equations, namely by the dual Vlasov-type hierarchy. Moreover, the relationships of the dual Vlasov hierarchy for the limit marginal observables with the Vlasov-type kinetic equation is established.

Yu. Yu. Fedchun; V. I. Gerasimenko

2013-08-21T23:59:59.000Z

420

Incorporating uncertainty in vehicle miles traveled projections of the National Energy Modeling System.  

E-Print Network (OSTI)

??The National Energy Modeling System (NEMS) is a computational model that forecasts the production, consumption, and prices of energy in the United States. Although NEMS (more)

Poetting, David Michael

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "modeling system pams" 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

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

E-Print Network (OSTI)

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

Sun, Haibin

2006-01-01T23:59:59.000Z

422

Systems thinking benefits in supply change management: an illustration of the viable systems model in a Supply Chain  

Science Conference Proceedings (OSTI)

Existing product development models are solely an organisational matter. They do not take into consideration the whole Supply Chain (SC) and its different actors. In this article, we investigate how Supply Chain Management and Viable System Model ... Keywords: SCM, VSM, lead user, process industry, product development, supply chain management, viable system model

Diana Chroneer; Anita Mirijamdotter

2009-03-01T23:59:59.000Z

423

Patterns for Automatic Generation of Soft Real-time System Models  

Science Conference Proceedings (OSTI)

Worst-case assumptions about the timing of systems are often too conservative when analyzing distributed soft real-time systems as they lead to over-dimensioned and expensive products. For these systems, a certain percentage of deadline misses is often ... Keywords: Modeling patterns, pattern-based system description, soft real-time systems, stochastic model

Oana Florescu; Jeroen Voeten; Bart Theelen; Henk Corporaal

2009-11-01T23:59:59.000Z

424

Transportation Sector Model of the National Energy Modeling System. Volume 1  

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. The NEMS Transportation Model comprises a series of semi-independent models which address different aspects of the transportation sector. The primary purpose of this model is to provide mid-term forecasts of transportation energy demand by fuel type including, but not limited to, motor gasoline, distillate, jet fuel, and alternative fuels (such as CNG) not commonly associated with transportation. The current NEMS forecast horizon extends to the year 2010 and uses 1990 as the base year. Forecasts are generated through the separate consideration of energy consumption within the various modes of transport, including: private and fleet light-duty vehicles; aircraft; marine, rail, and truck freight; and various modes with minor overall impacts, such as mass transit and recreational boating. This approach is useful in assessing the impacts of policy initiatives, legislative mandates which affect individual modes of travel, and technological developments. The model also provides forecasts of selected intermediate values which are generated in order to determine energy consumption. These elements include estimates of passenger travel demand by automobile, air, or mass transit; estimates of the efficiency with which that demand is met; projections of vehicle stocks and the penetration of new technologies; and estimates of the demand for freight transport which are linked to forecasts of industrial output. Following the estimation of energy demand, TRAN produces forecasts of vehicular emissions of the following pollutants by source: oxides of sulfur, oxides of nitrogen, total carbon, carbon dioxide, carbon monoxide, and volatile organic compounds.

NONE

1998-01-01T23:59:59.000Z

425

A system identification approach for developing and parameterising an agroforestry system model under constrained availability of data  

Science Conference Proceedings (OSTI)

This paper introduces a system identification approach to overcome the problem of insufficient data when developing and parameterising an agroforestry system model. Typically, for these complex systems the number of available data points from actual ... Keywords: Agroforestry, Calibration, Constrained parameter optimization, Model adaptation, Real-world agroforestry experiment, Validation

Karel J. Keesman; Anil Graves; Wopke van der Werf; Paul J. Burgess; Joao Palma; Christian Dupraz; Herman van Keulen

2011-12-01T23:59:59.000Z

426

Model Predictive Control of HVAC Systems: Implementation and Testing at the University of California, Merced  

E-Print Network (OSTI)

ModelPredictiveControlofHVACSystems: Implementationand air conditioning (HVAC) account for 27% of thereductionpotentialofHVACsystemswith activethermal

Haves, Phillip

2010-01-01T23:59:59.000Z

427

Design of a power management model for a solar/fuel cell hybrid energy system.  

E-Print Network (OSTI)

??This thesis proposes a Power Management Model (PMM) for optimization of several green power generation systems. A Photovoltaic/Fuel cell Hybrid Energy System (PFHES) consisting of (more)

Melendez, Rosana.

2010-01-01T23:59:59.000Z

428

Analysis and modelling of membrane heat exchanger in HVAC energy recovery systems.  

E-Print Network (OSTI)

??The performance of membrane heat exchangers for HVAC total energy recovery systems was evaluated through experimentation and detailed system modelling. The operating principle of the (more)

Nasif, Mohammad Shakir

2008-01-01T23:59:59.000Z

429

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

SciTech Connect

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

Not Available

1994-04-01T23:59:59.000Z

430

DECEMBER 2006 LISTON AND ELDER 1259 A Distributed Snow-Evolution Modeling System (SnowModel)  

E-Print Network (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, EnBal calculates surface energy exchanges, SnowPack simulates snow depth and water-equivalent evolution, and SnowTran-3D accounts for snow redistribution by wind. Since each of these submodels was originally developed and tested for nonforested conditions, details describing modifications made to the submodels for forested areas are provided. SnowModel was created to run on grid increments of 1 to 200 m and temporal increments of 10 min to 1 day. It can also be applied using much larger grid increments, if the inherent loss in high-resolution (subgrid) information is acceptable. Simulated processes include snow accumulation; blowing-snow redistribution and sublimation; forest canopy interception, unloading, and sublimation; snow-density evolution; and snowpack melt. Conceptually, SnowModel includes the first-order physics required to simulate snow evolution within each of the global snow classes (i.e., ice, tundra, taiga, alpine/mountain, prairie, maritime, and ephemeral). The required model inputs are 1) temporally varying fields of precipitation, wind speed and direction, air temperature, and relative humidity obtained from meteorological stations and/or an atmospheric model located

Glen E. Liston; Kelly Elder

2005-01-01T23:59:59.000Z

431

A Complex Systems Modelling Approach for Decentralised Simulation of Electrical Microgrids  

Science Conference Proceedings (OSTI)

The structure and behaviour of Electrical Grids share many of the properties of Complex Computer Systems, with microgrids and other decentralised electrical systems attached to them, so they can be interpreted as Systems of Systems. Furthermore, the ... Keywords: electrical grid, microgrid, agent-based models, complex computer systems, systems of systems

Enrique Kremers; Pablo Viejo; Oscar Barambones; Jose Gonzalez de Durana

2010-03-01T23:59:59.000Z

432

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

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

NONE

1998-01-01T23:59:59.000Z

433

Quantifying uncertainty in LCA-modelling of waste management systems  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Uncertainty in LCA-modelling of waste management is significant. Black-Right-Pointing-Pointer Model, scenario and parameter uncertainties contribute. Black-Right-Pointing-Pointer Sequential procedure for quantifying uncertainty is proposed. Black-Right-Pointing-Pointer Application of procedure is illustrated by a case-study. - Abstract: Uncertainty analysis in LCA studies has been subject to major progress over the last years. In the context of waste management, various methods have been implemented but a systematic method for uncertainty analysis of waste-LCA studies is lacking. The objective of this paper is (1) to present the sources of uncertainty specifically inherent to waste-LCA studies, (2) to select and apply several methods for uncertainty analysis and (3) to develop a general framework for quantitative uncertainty assessment of LCA of waste management systems. The suggested method is a sequence of four steps combining the selected methods: (Step 1) a sensitivity analysis evaluating the sensitivities of the results with respect to the input uncertainties, (Step 2) an uncertainty propagation providing appropriate tools for representing uncertainties and calculating the overall uncertainty of the model results, (Step 3) an uncertainty contribution analysis quantifying the contribution of each parameter uncertainty to the final uncertainty and (Step 4) as a new approach, a combined sensitivity analysis providing a visualisation of the shift in the ranking of different options due to variations of selected key parameters. This tiered approach optimises the resources available to LCA practitioners by only propagating the most influential uncertainties.

Clavreul, Julie, E-mail: julc@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark); Guyonnet, Dominique [BRGM, ENAG BRGM-School, BP 6009, 3 Avenue C. Guillemin, 45060 Orleans Cedex (France); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark)

2012-12-15T23:59:59.000Z

434

Appendix model performance - model documentation renewable fuels module of the National Energy Modeling System  

DOE Green Energy (OSTI)

This appendix discusses performance aspects of the Renewable Fuels Module (RFM). It is intended to present the pattern of response of the RFM to typical changes in its major inputs from other NEMS modules. The overall approach of this document, with the particular statistics presented, is designed to be comparable with similar analyses conducted for all of the modules of NEMS. While not always applicable, the overall approach has been to produce analyses and statistics that are as comparable as possible with model developer`s reports for other NEMS modules. Those areas where the analysis is somewhat limited or constrained are discussed. Because the RFM consists of independent submodules, this appendix is broken down by submodule.

Not Available

1994-09-01T23:59:59.000Z

435

Optimal Model of Distributed Energy System by Using GAMS and Case Study  

E-Print Network (OSTI)

Optimal Model of Distributed Energy System by Using GAMS andEnergy Reliability, Distributed Energy Program of the U.S.Optimal Model of Distributed Energy System by Using GAMS and

Yang, Yongwen; Gao, Weijun; Ruan, Yingjun; Xuan, Ji; Zhou, Nan; Marnay, Chris

2005-01-01T23:59:59.000Z

436

Damage Modeling and Life Extending Control of a Boiler-Turbine System1  

E-Print Network (OSTI)

Damage Modeling and Life Extending Control of a Boiler-Turbine System1 Donglin Li Tongwen Chen2 hierarchical LEC structure and apply it to a typ- ical boiler system. There are two damage models

Marquez, Horacio J.

437

Numerical Prediction of Convectively Driven Mesoscale Pressure Systems. Part II. Mesoscale Model  

Science Conference Proceedings (OSTI)

A 20-level, three-dimensional, primitive equation model with 20 km horizontal resolution is used to predict the development of convectively driven mesoscale pressure systems. Systems produced by the model have life histories and structural ...

J. M. Fritsch; C. F. Chappell

1980-08-01T23:59:59.000Z

438

Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data  

Science Conference Proceedings (OSTI)

An urban dispersion modeling system was evaluated using the Joint Urban 2003 field data. The system consists of a fast-running urban airflow model (RUSTIC, for Realistic Urban Spread and Transport of Intrusive Contaminants) that is coupled with a ...

Eric A. Hendricks; Steve R. Diehl; Donald A. Burrows; Robert Keith

2007-12-01T23:59:59.000Z

439

Experiment selection for the discrimination of semi-quantitative models of dynamical systems  

Science Conference Proceedings (OSTI)

Modeling an experimental system often results in a number of alternative models that are all justified by the available experimental data. To discriminate among these models, additional experiments are needed. Existing methods for the selection of discriminatory ... Keywords: Computer-supported modeling, Information theory, Model discrimination, Population biology, Qualitative and semi-quantitative modeling and simulation

Ivayla Vatcheva; Hidde de Jong; Olivier Bernard; Nicolaas J. I. Mars

2006-04-01T23:59:59.000Z

440

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

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The National Energy Modeling System: An Overview 2003 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) links NEMS to the rest of the economy by providing projections of economic driver variables for use by the supply, demand, and conversion modules of NEMS. The derivation of the baseline macroeconomic forecast lays a foundation for the determination of the energy demand and supply forecast. MAM is used to present alternative macroeconomic growth cases to provide a range of uncertainty about the growth potential for the economy and its likely consequences for the energy system. MAM is also able to address the macroeconomic impacts associated with changing energy market conditions, such as alternative world oil price assumptions. Outside of the Annual Energy Outlook setting, MAM represents a system of linked modules which can assess the potential impacts on the economy of changes in energy events or policy proposals. These economic impacts then feed back into NEMS for an integrated solution. MAM consists of five modules:

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441

Risk analysis of nuclear safeguards regulations. [Aggregated Systems Model (ASM)  

Science Conference Proceedings (OSTI)

The Aggregated Systems Model (ASM), a probabilisitic risk analysis tool for nuclear safeguards, was applied to determine benefits and costs of proposed amendments to NRC regulations governing nuclear material control and accounting systems. The objective of the amendments was to improve the ability to detect insiders attempting to steal large quantities of special nuclear material (SNM). Insider threats range from likely events with minor consequences to unlikely events with catastrophic consequences. Moreover, establishing safeguards regulations is complicated by uncertainties in threats, safeguards performance, and consequences, and by the subjective judgments and difficult trade-offs between risks and safeguards costs. The ASM systematically incorporates these factors in a comprehensive, analytical framework. The ASM was used to evaluate the effectiveness of current safeguards and to quantify the risk of SNM theft. Various modifications designed to meet the objectives of the proposed amendments to reduce that risk were analyzed. Safeguards effectiveness was judged in terms of the probability of detecting and preventing theft, the expected time to detection, and the expected quantity of SNM diverted in a year. Data were gathered in tours and interviews at NRC-licensed facilities. The assessment at each facility was begun by carefully selecting scenarios representing the range of potential insider threats. A team of analysts and facility managers assigned probabilities for detection and prevention events in each scenario. Using the ASM we computed the measures of system effectiveness and identified cost-effective safeguards modifications that met the objectives of the proposed amendments.

Al-Ayat, R.A.; Altman, W.D.; Judd, B.R.

1982-06-01T23:59:59.000Z

442

PVUSA model technical specification for a turnkey photovoltaic power system  

DOE Green Energy (OSTI)

One of the five objectives of PVUSA is to offer U.S. utilities hands-on experience in designing, procuring, and operating PV systems. The procurement process included the development of a detailed set of technical requirements for a PV system. PVUSA embodied its requirements in a technical specification used as an attachment to its contracts for four utility-scale PV systems in the 200 kW to 500 kW range. The technical specification has also been adapted and used by several utilities. The PVUSA Technical Specification has now been updated and is presented here as a Model Technical Specification (MTS) for utility use. The MTS text is also furnished on a computer disk in Microsoft Word 6.0 so that it may be conveniently adapted by each user. The text includes guidance in the form of comments and by the use of parentheses to indicate where technical information must be developed and inserted. Commercial terms and conditions will reflect the procurement practice of the buyer. The reader is referred to PG&E Report Number 95-3090000. 1, PVUSA Procurement, Acceptance and Rating Practices for Photovoltaic Power Plants (1995) for PVUSA experience and practice. The MTS is regarded by PVUSA as a use-proven document, but needs to be adapted with care and attention to detail.

Dows, R.N.; Gough, E.J.

1995-11-01T23:59:59.000Z

443

Climate system modeling on massively parallel systems: LDRD Project 95-ERP-47 final report  

Science Conference Proceedings (OSTI)

Global warming, acid rain, ozone depletion, and biodiversity loss are some of the major climate-related issues presently being addressed by climate and environmental scientists. Because unexpected changes in the climate could have significant effect on our economy, it is vitally important to improve the scientific basis for understanding and predicting the earth`s climate. The impracticality of modeling the earth experimentally in the laboratory together with the fact that the model equations are highly nonlinear has created a unique and vital role for computer-based climate experiments. However, today`s computer models, when run at desired spatial and temporal resolution and physical complexity, severely overtax the capabilities of our most powerful computers. Parallel processing offers significant potential for attaining increased performance and making tractable simulations that cannot be performed today. The principal goals of this project have been to develop and demonstrate the capability to perform large-scale climate simulations on high-performance computing systems (using methodology that scales to the systems of tomorrow), and to carry out leading-edge scientific calculations using parallelized models. The demonstration platform for these studies has been the 256-processor Cray-T3D located at Lawrence Livermore National Laboratory. Our plan was to undertake an ambitious program in optimization, proof-of-principle and scientific study. These goals have been met. We are now regularly using massively parallel processors for scientific study of the ocean and atmosphere, and preliminary parallel coupled ocean/atmosphere calculations are being carried out as well. Furthermore, our work suggests that it should be possible to develop an advanced comprehensive climate system model with performance scalable to the teraflops range. 9 refs., 3 figs.

Mirin, A.A.; Dannevik, W.P.; Chan, B.; Duffy, P.B.; Eltgroth, P.G.; Wehner, M.F.

1996-12-01T23:59:59.000Z

444

Distributed generation capabilities of the national energy modeling system  

SciTech Connect

This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. The goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

445

Spreader-Bar Radiation Detection System Enhancements: A Modeling and Simulation Study  

SciTech Connect

This report provides the modeling and simulation results of the investigation of enhanced spreader bar radiation detection systems.

Ely, James H.; Ashbaker, Eric D.; Batdorf, Michael T.; Baciak, James E.; Hensley, Walter K.; Jarman, Kenneth D.; Robinson, Sean M.; Sandness, Gerald A.; Schweppe, John E.

2012-11-13T23:59:59.000Z

446

Recent Improvements to an Advanced Atmospheric Transport Modeling System  

SciTech Connect

The Atmospheric Technologies Group (ATG) has developed an advanced atmospheric modeling capability using the Regional Atmospheric Modeling System (RAMS) and a stochastic Lagrangian particle dispersion model (LPDM) for operational use at the Savannah River Site (SRS). For local simulations concerning releases from the Central Savannah River Area (CSRA), RAMS is run in a nested grid configuration with horizontal grid spacing of 8 and 2 km for each grid, with 6-hr forecasts updated every 3 hours. An interface to allow for easy user access to LPDM had been generated, complete with post-processing results depicting surface concentration, deposition, and a variety of dose quantities. A prior weakness in this approach was that observations from the SRS tower network were only incorporated into the three-dimensional modeling effort during the initialization process. Thus, if the forecasted wind fields were in error, the resulting plume predictions would also be erroneous. To overcome this shortcoming, the procedure for generating RAMS wind fields and reading them into LPDM has been modified such that SRS wind measurements are blended with the predicted three-dimensional wind fields from RAMS using the Barnes technique. In particular, the horizontal components in RAMS are replaced with the observed values at a series of 8 towers that exist within the SRS boundary (covering {approx}300 km{sup 2}). Even though LPDM is currently configured to account only for radioactive releases, it was used in a recent chlorine gas release to generate plume concentrations based on unit releases from the site of a train accident in Graniteville, South Carolina. This information was useful to local responders as an indication of potential protective actions downwind of the release.

Buckley, R. L.; Hunter, C. H.

2005-10-24T23:59:59.000Z

447

Validation of the RVACS (Reactor Vessel Auxiliary Cooling System)/RACS (Reactor Air Cooling System) model in SASSYS-1  

SciTech Connect

The SASSYS-1 LMR systems analysis code contains a model for transient analysis of heat removal by a RVACS (Reactor Vessel Auxiliary Cooling System) or a RACS (Reactor Air Cooling System) in an LMR (Liquid Metal Reactor). This model has been validated by comparisons of model predictions with experimental data from a large scale RVACS/RACS simulation experiment performed at Argonne National Laboratory. 4 refs., 1 fig.

Dunn, F.E.

1987-01-01T23:59:59.000Z

448

W.: Model Driven Instrumentation for Relational Event Traces. Radioelektronic and Computer Systems 6(18  

E-Print Network (OSTI)

Instrumentation of software is a part of debugging, performance evaluation and autonomic software systems. It enables the observability of program behaviour. However, instrumentation is costly and error prone. This paper presents an approach called Model Driven Instrumentation for Relational Event Traces. The approach enables the specification of system models and models for instrumentation as separate concerns, and allows to automatically generate instrumented systems from the models. Instrumentation, Model Driven Architecture

M. Bokovi?; T. Warns; W. Hasselbring

2006-01-01T23:59:59.000Z

449

Parameter estimation for performance models of distributed application systems  

Science Conference Proceedings (OSTI)

The performance engineering of distributed applications requires models that capture contention for both hardware and software resources. Layered queueing models have been proposed for modeling distributed applications but they require model parameters ...

Jerome Rolia; Vidar Vetland

1995-11-01T23:59:59.000Z

450

ENERGY MODELING OF A LEAD-ACID BATTERY WITHIN HYBRID WIND / PHOTOVOLTAIC SYSTEMS  

E-Print Network (OSTI)

ENERGY MODELING OF A LEAD-ACID BATTERY WITHIN HYBRID WIND / PHOTOVOLTAIC SYSTEMS O. GERGAUD, G Abstract: Within the scope of full-scale energy modeling of a hybrid wind / photovoltaic system coupled / photovoltaic production system coupled to the network grid (with energy storage) ENERGY MODELING OF A LEAD

Paris-Sud XI, Université de

451

Simple models of district heating systems for load and demand side management  

E-Print Network (OSTI)

Simple models of district heating systems for load and demand side management and operational Energiforskningsprogrammet EFP ENS J.nr. 1373/01-0041 December 2004 #12;Simple models of district heating systems for load 87-7475-323-1 #12;Preface The research project "Simple models of district heating systems for load

452

BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS  

E-Print Network (OSTI)

BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS Eric FOCK Ile de La Réunion - FRANCE ABSTRACT This paper deals with neural networks modelling of HVAC systems of HVAC system can be modelled using manufacturer design data presented as derived performance maps

Paris-Sud XI, Université de

453

Tile of the document: HVAC system component-based modeling and implementation  

E-Print Network (OSTI)

1 Abstract Tile of the document: HVAC system component-based modeling and implementation Karam the foundation for modeling components that are used in HVAC systems (heating, ventilation, and air conditioning such functionalities. #12;2 HVAC system component-based modeling and implementation By Karam H. Rajab Scholarly

Austin, Mark

454

Continuous-time nonlinear model predictive control of time-delayed Wiener-type systems  

Science Conference Proceedings (OSTI)

This paper deals with a novel method of continuous-time model predictive control for nonlinear time-delayed systems. The problems regarding time delays are solved by incorporating delayed and undelayed model outputs in the control-law derivation. Nonlinear-mapping ... Keywords: Wiener-type model, continuous system, nonlinear predictive control, time-delayed system

Simon Oblak; Igor krjanc

2006-02-01T23:59:59.000Z

455

A Unified Technique for Dynamic Modeling and Stability Analysis of Microgrid Systems.  

E-Print Network (OSTI)

??This work presents a unified method for dynamic modeling and stability analysis of microgrid power systems. Using the automated state-model generation algorithm, a state-space model (more)

Johnson, Brian B.

2010-01-01T23:59:59.000Z

456

Model Uncertainty in a Mesoscale Ensemble Prediction System: Stochastic versus Multiphysics Representations  

Science Conference Proceedings (OSTI)

A multiphysics and a stochastic kinetic-energy backscatter scheme are employed to represent model uncertainty in a mesoscale ensemble prediction system using the Weather Research and Forecasting model. Both model-error schemes lead to significant ...

J. Berner; S.-Y. Ha; J. P. Hacker; A. Fournier; C. Snyder

2011-06-01T23:59:59.000Z

457

Heat Transport in Groundwater Systems--Laboratory Model  

E-Print Network (OSTI)

Solar energy is a possible alternate energy source for space heating. A method of economic long term solar energy storage is needed. Researchers have proposed storing solar energy by heating water using solar collectors and injecting the hot water into groundwater aquifers for long term energy storage. Of paramount importance to the success of such a system is the quality and the behavior of the aquifer used for hot water storage. In general, the problem is to obtain an accurate prediction of the response of an aquifer system and its basic components to the operation of a system of injection and pumping wells which are transporting water at a notably different temperature than the natural groundwater. The injection of hot water into a groundwater storage system will have a pronounced effect on the specific storage and mass flow within the aquifer. These effects will result from differences in viscosity, density, specific heat, and thermal conductivity between the injected water and the natural groundwater. A complex system of energy and mass transport will result, making analytical solutions unattainable or very complex. The objective of this study was to develop a numerical simulation which would predict the pressure and temperature of water in a groundwater system at any time in response to the pumping and injecting of hot and cold water. A numerical model was developed in which the groundwater flow equation and the energy transport equation are solved simultaneously using a finite difference approximation for the time derivative and three-dimensional Galerkin-finite element approximations for the space derivatives. The use of a strict Galerkin approach led to unacceptable solution oscillations in sharp temperature front problems (i.e., problems where the temperature changes quickly over a small distance or time). Several techniques were tried in an attempt to correct the problem. Reduction of element and time step size proved ineffective in eliminating the sharp temperature front oscillation problem. An upstream weighting scheme corrected the oscillation problem, but resulted in an unacceptable smear of the sharp temperature front. A mass lumping scheme resulted in the best solution to sharp temperature front problems. The mass lumping scheme yielded solutions without the oscillation problem and with less smear than the upstream weighting scheme.

Reed, D. B.; Reddell, D. L.

1980-08-01T23:59:59.000Z

458

FAO-Modelling System for Agricultural Impacts of Climate Change (MOSAICC) |  

Open Energy Info (EERE)

FAO-Modelling System for Agricultural Impacts of Climate Change (MOSAICC) FAO-Modelling System for Agricultural Impacts of Climate Change (MOSAICC) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: FAO-Modelling System for Agricultural Impacts of Climate Change (MOSAICC) Agency/Company /Organization: Food and Agriculture Organization of the United Nations Sector: Climate, Land, Water Focus Area: Agriculture Topics: Co-benefits assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.fao.org/climatechange/mosaicc/66705/en/ FAO-Modelling System for Agricultural Impacts of Climate Change (MOSAICC) Screenshot References: FAO-Modelling System for Agricultural Impacts of Climate Change (MOSAICC)[1] "FAO-MOSAICC (for MOdelling System for Agricultural Impacts of Climate Change) is a system of models designed to carry out each step of the impact

459

The National Energy Modeling System: An Overview 1998 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

RESIDENTIAL DEMAND MODULE RESIDENTIAL DEMAND MODULE blueball.gif (205 bytes) Housing Stock Submodule blueball.gif (205 bytes) Appliance Stock Submodule blueball.gif (205 bytes) Technology Choice Submodule blueball.gif (205 bytes) Shell Integrity Submodule blueball.gif (205 bytes) Fuel Consumption Submodule The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar thermal and geothermal energy. The RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of the RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts,

460

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

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The National Energy Modeling System: An Overview 2003 Industrial Demand Module Figure 7. Industrial Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Economic Subsectors Within the IDM Table. Need help, contact the National Energy Information Center at 202-586-8800. Industrial Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Fuel Consuming Activities for the Energy-Intensive Manufacturing Subsectors Table. Need help, contact the National Energy Information Center at 202-586-8800. The industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing

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

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The National Energy Modeling System: An Overview 2003 Electricity Market Module Figure 9. Electricity Market Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Figure 10. Electricity Market Module Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. Electricity Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Central-Station Generating Technologies. Need help, contact the National Energy Information Center at 202-586-8800. 2002 Overnight Capital Costs (including Contingencies), 2002 Heat Rates, and Online Year by Technology for the AEO2003 Reference Case Table. Need help, contact the National Energy Information Center at 202-586-8800.

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EIA - The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System: An Overview 2003 This report provides a summary description of the NEMS which was used to generate the projections of energy production, demand, imports, and prices through the year 2025 for the Annual Ene